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Classical Hematology

February 15, 2021
  • 00:00OK, good afternoon everyone it's 12:00
  • 00:03PM on this beautiful Friday and today
  • 00:07is the next session and our yield.
  • 00:11Hematology hash highlights from
  • 00:13the 2020 American Society of
  • 00:15Hematology Meeting highlights.
  • 00:17So as you can see on the agenda
  • 00:21in the last few weeks,
  • 00:24we covered multiple myeloma,
  • 00:26lymphoid malignancies, myeloid malignancies,
  • 00:28and pediatric leukemia and hematology.
  • 00:31And today we will be discussing
  • 00:35classical or B9,
  • 00:37but not so benign hematology.
  • 00:54So as usual, many abstracts are
  • 00:56presented in about classical hematology
  • 00:58in the ash mythology meeting.
  • 01:00However, due to time limitations the focus
  • 01:03will be on the most prominent abstracts,
  • 01:06and the ones that have the
  • 01:08highest clinical relevance to
  • 01:10practice on on a day-to-day basis.
  • 01:13The abstracts will be grouped
  • 01:16in areas of clinical.
  • 01:18Unmet need and there are many other
  • 01:21abstracts of course that are very good that
  • 01:24we do not have the time to cover today.
  • 01:26Important to note that
  • 01:28these abstracts represent.
  • 01:29Often preliminary presentations and
  • 01:31data that has not been yet completely
  • 01:33vetted or peer reviewed or finalized.
  • 01:36So we have to take that into consideration.
  • 01:39As we discussed the data we like
  • 01:41to thank the authors who shared
  • 01:44their presentations with us and the
  • 01:47recording of this session and the
  • 01:50other sessions will be available.
  • 01:52Over the next week or so,
  • 01:55for those who cannot attend the live
  • 01:58sessions and the CME credit will be
  • 02:01available after filling up receive
  • 02:04feedback on the seminars and how
  • 02:07we can improve him going forward.
  • 02:09So today it's a pleasure to be joined
  • 02:12by my colleagues Sabrina Browning,
  • 02:15who's our instructor in medicine and
  • 02:18section of Hematology who will be
  • 02:21covering bleeding and hemostasis.
  • 02:24Sam Alexander Pienaar,
  • 02:26associate professor of medicine.
  • 02:28Who will be covering from bosses
  • 02:31an antithrombotic therapy?
  • 02:33Advances from ash and then our
  • 02:35bright fellow George Joshua will
  • 02:37finish their presentations,
  • 02:39covering other important and
  • 02:41relevant classical hematology topics.
  • 02:43At the end we will have Professor
  • 02:46of Medicine Doctor Robert Bona,
  • 02:48and our Associate Professor of Medicine,
  • 02:51Doctor Alfred Lee,
  • 02:52who will moderate your questions
  • 02:55and also be available to help
  • 02:57the speakers in answering.
  • 02:59Any of the questions that are
  • 03:02relevant to the abstracts presented,
  • 03:04or any other abstracts from the
  • 03:07meeting that are important.
  • 03:10So it's my pleasure to present our
  • 03:13first speaker, doctor Sabrina Browning,
  • 03:15who will discuss bleeding and
  • 03:17hemostasis without so Sabrina.
  • 03:19Feel free to share your screen.
  • 03:26Thank you Doctor Zayden and welcome everyone.
  • 03:30For those interested,
  • 03:31we've included QR codes throughout
  • 03:34our presentation that will link
  • 03:35you directly to the ASH abstracts.
  • 03:37You can access these by
  • 03:40using your smartphone camera.
  • 03:42I have no disclosures to report.
  • 03:45So this slide outlines the abstracts
  • 03:47that I will cover today which span
  • 03:49disorders of platelet number or
  • 03:51function disorders of coagulation
  • 03:52and fibrinolysis and von Willebrand
  • 03:54disease and at the end I will
  • 03:56briefly touch upon abstracts that
  • 03:58were presented at ASH on the role
  • 04:01of convalescent plasma therapy
  • 04:02in the management of COVID-19 and
  • 04:04provide an update on where we stand
  • 04:07with this treatment currently.
  • 04:09So to begin,
  • 04:10doctor Charlotte Bradbury from the
  • 04:12University of Bristol in the United
  • 04:14Kingdom presented a late breaking
  • 04:16abstract on the flight trial,
  • 04:18which is a multicenter,
  • 04:19randomized trial evaluating the addition
  • 04:21of mycophenolate to standard of care.
  • 04:23Corticosteroids in the management
  • 04:25of patients with newly diagnosed
  • 04:26immune thrombocytopenia.
  • 04:27This study was developed due to the
  • 04:30heterogeneous responses in ITP to
  • 04:32first line steroids and concerns
  • 04:34regarding their long term side effects.
  • 04:36Evidence for mycophenolate or MF and
  • 04:38second line treatment and beyond
  • 04:40really comes only from Russia's
  • 04:42retrospective studies at this time.
  • 04:44This study recruited adult patients
  • 04:46with ITP and a platelet count of less
  • 04:50than 30,000 who were requiring therapy.
  • 04:52Subjects were then randomized
  • 04:53to standard corticosteroids,
  • 04:55which could be in the form of dexamethasone,
  • 04:57pulsed, at 40 milligrams daily for four days,
  • 05:00up to three cycles,
  • 05:02or Prednisolone 1 milligram
  • 05:03per kilogram daily,
  • 05:04followed by a taper or
  • 05:06corticosteroids plus MMF,
  • 05:07which was initially dosed at 500
  • 05:10milligrams twice daily and then
  • 05:12escalated to a Max dose of 1 gram
  • 05:14daily with a plan to taper and then
  • 05:17stop after six months of treatment.
  • 05:19The investigators from this
  • 05:21trial hypothesize that MF,
  • 05:22combined with steroids,
  • 05:24would be more effective than steroids alone,
  • 05:26and the primary outcome measured was time
  • 05:29from randomization to treatment failure,
  • 05:31defined as a platelet count
  • 05:32less than 30 and a clinical need
  • 05:35for second line treatment.
  • 05:37Secondary outcomes are outlined
  • 05:38here and included bleeding events,
  • 05:40side effects,
  • 05:41and patient reported outcomes both at
  • 05:43baseline and AT246 and 12 months as
  • 05:46measured by validated questionnaires.
  • 05:49120 patients were included in this study,
  • 05:52with 59 on the MF ARM and 61
  • 05:54patients receiving steroids alone.
  • 05:56The median follow-up was 18 months.
  • 05:5852.4% of patients were male
  • 06:00with a median age of 54,
  • 06:02so it was noted that more than
  • 06:051/4 of patients enrolled in the
  • 06:07study were over the age of 70.
  • 06:09The primary outcome of proportion of
  • 06:11patients without treatment failure is
  • 06:13illustrated in the Kaplan Meier curve.
  • 06:15Here on the left of the slide
  • 06:18and favored the MF arm with an
  • 06:21adjusted hazard ratio of 0.41.
  • 06:23Interesting Lee.
  • 06:23Similar responses were observed
  • 06:25in the two groups at 2 weeks,
  • 06:27despite the less refractoriness that
  • 06:28was seen in the MF cohort and a
  • 06:31statistically significant increase
  • 06:32in plate in patients who reached a
  • 06:35platelet count greater than 100 before
  • 06:37they required in second line treatment.
  • 06:40There were no differences observed in
  • 06:41bleeding events or hospitalizations,
  • 06:43and there were comperable rates of
  • 06:45treatment side effects in both groups.
  • 06:47However,
  • 06:47there were some aspects on quality
  • 06:50of life questionnaires that were
  • 06:51observed to be worse in the MF arm,
  • 06:53including both physical
  • 06:55function and fatigue scores.
  • 06:56So to summarize this abstract,
  • 06:58this is the first randomized control
  • 07:01trial using MF to treat ITP,
  • 07:03and it illustrated good overall
  • 07:05efficacy and tolerability when added
  • 07:07to first line corticosteroids,
  • 07:08including in a cohort of patients
  • 07:10that had included elderly patients.
  • 07:12However,
  • 07:13there were some negative affects on
  • 07:15quality of life that were observed
  • 07:17in the treatment arm and the
  • 07:19investigator suggested that this
  • 07:21regimen could be considered in some,
  • 07:23but not necessarily all,
  • 07:26patients with newly diagnosed ITP.
  • 07:28The nest next abstract I'd like
  • 07:30to share was presented by Doctor
  • 07:32David Kuter from Massachusetts
  • 07:34General Hospital and highlights the
  • 07:36clinically active and the durable
  • 07:37platelet response that were observed
  • 07:39with the oral BTK inhibitor reels of
  • 07:41Bruton IB in patients with heavily
  • 07:44pretreated ITP as illustrated in
  • 07:45the figure here.
  • 07:47On the left rules ibrutinib is a
  • 07:49reversible and selective inhibitor
  • 07:50of BTK that aims to target the
  • 07:53disease mechanisms leading to
  • 07:54platelet destruction in ITP,
  • 07:56though it's without the effects on
  • 07:58platelet aggregation that we often see.
  • 08:00In the drug ibrutinib the trial,
  • 08:03this trial of Phase 1 two open label
  • 08:05trial was a dose finding study and
  • 08:07that enrolled adult patients with
  • 08:09relapsed or refractory ITP who had
  • 08:11responded to at least one prior
  • 08:13line of ITP therapy and had two or
  • 08:15more platelet counts that were less
  • 08:17than 30 at the time of study entry.
  • 08:20Subjects could be on stable doses
  • 08:23of concomitant corticosteroids
  • 08:24and or thrombopoietin receptor
  • 08:26agonist during this trial.
  • 08:28The dose escalation phase of this
  • 08:30study was previously reported at
  • 08:32ASH with a minimum effective dose
  • 08:34of 400 milligrams twice daily.
  • 08:36The primary endpoint of this part of
  • 08:39the study was achieving two or more
  • 08:41consecutive platelet counts that
  • 08:43were greater than 50,000 with an
  • 08:45increase of more than 20,000 from the
  • 08:48patients baseline without requiring
  • 08:50any rescue or additional medications.
  • 08:52The investigators also performed subgroup
  • 08:54analysis to determine the impact
  • 08:56of certain prior treatments
  • 08:58on this primary endpoint.
  • 09:00A long term extension study was also
  • 09:02conducted to further assess safety
  • 09:04and durability of this medication,
  • 09:06and so this specific abstract
  • 09:07presented on 38 patients who
  • 09:09had received the dose of 400
  • 09:11milligrams twice daily and the 13
  • 09:13patients who entered the long term
  • 09:15extension study at this same dose.
  • 09:20So patients in the 400 milligram twice
  • 09:22daily cohort had a median duration of
  • 09:25ITP of six years and had received a
  • 09:27median of six prior lines of therapy.
  • 09:29Their median age was 50, with a little
  • 09:32more than half of patients being female.
  • 09:35At the time of data cutoff,
  • 09:37which was July of 2020, forty 2% of
  • 09:39patients had achieved the primary endpoint.
  • 09:42Furthermore, responses were relatively
  • 09:43similar whether or not these patients
  • 09:46had responded to prior therapy,
  • 09:48as outlined here,
  • 09:49including thrombopoietin receptor agonist,
  • 09:50rituximab, or fostamatinib,
  • 09:52and notably responses were quite rapid,
  • 09:54with 53% of patients achieving a
  • 09:57platelet count of more than 30 by day 8.
  • 10:00And and responses were also
  • 10:02durable in nature.
  • 10:03A real rose alot nib was generally well
  • 10:06tolerated in all portions of the trial
  • 10:08with approximately half of patients
  • 10:10experiencing grade one or two side effects
  • 10:12that were transient and mostly GI.
  • 10:14In nature,
  • 10:15though there were no serious adverse
  • 10:17events or treatment related bleeding or
  • 10:19thrombotic complications during this study.
  • 10:22So, in conclusion,
  • 10:23reels reels of Bruton AB therapy at
  • 10:25a dose of 400 milligrams twice daily
  • 10:28achieved significant rapid and long
  • 10:29lasting platelet responses in about
  • 10:31a slightly under half a percent
  • 10:33percentage of this patient population
  • 10:35with heavily treated pretreated ITP,
  • 10:37and this was observed irrespective of the
  • 10:40response to prior lines of treatment rules.
  • 10:42Ibrutinib was granted fast track
  • 10:44designation by the FDA in October
  • 10:46of this past year and further
  • 10:49clinical trials with this drug.
  • 10:50That drug is current.
  • 10:52Currently on going.
  • 10:56In the plenary session,
  • 10:57Doctor Terry Gurne Shime are from the
  • 11:00University of Washington School of Medicine,
  • 11:02presented the results of the American
  • 11:05trial using tranexamic acid and
  • 11:07thrombocytopenia or the a treat trial.
  • 11:09This study specifically examined
  • 11:11the effects of tranexamic acid or
  • 11:13txa prophylaxis on bleeding outcomes
  • 11:15in individuals with hematologic
  • 11:17malignancy undergoing treatment therapy.
  • 11:19And it was supported by understanding
  • 11:21of the high incidence of bleeding
  • 11:23in this patient population,
  • 11:25even despite our evidence based use of
  • 11:28platelet transfusions prophylactically
  • 11:29and while anti fibrinolytic therapy
  • 11:31has certainly been used with pain in
  • 11:33patients with hematologic malignancy
  • 11:35undergoing treatment evidence,
  • 11:36evidence of its benefit has really
  • 11:39been lacking.
  • 11:40So the Atria trial was a multi center,
  • 11:43double blinded,
  • 11:44placebo controlled trial aimed to
  • 11:45assess the safety and efficacy of
  • 11:48prophylactic transit tranexamic acid.
  • 11:50Which is seen in this schematic,
  • 11:52here included on the left of the
  • 11:54slide block slicing binding site on
  • 11:57plasminogen an inhibits and its activation,
  • 11:59thus halting fibrinolysis.
  • 12:01And the train exam IC acid was used as
  • 12:04an adjunct to routine platelet transfusions.
  • 12:06As was previously studied.
  • 12:08Patients undergoing therapy for
  • 12:10hematologic malignancy whom were
  • 12:12expected to have platelet counts
  • 12:13less than 10,000 for five or more
  • 12:16days were eligible to be enrolled
  • 12:17in the study and were randomized to
  • 12:20receive either tranexamic acid at a
  • 12:22dose of 1 gram Ivy or 1.3 grams opeo
  • 12:25every eight hours or placebo with
  • 12:27the start of the study drug after a
  • 12:30platelet count had dropped below 30.
  • 12:32Tranexamic acid or placebo was
  • 12:34discontinued after 30 days or when
  • 12:36platelet counts had re platelet count
  • 12:38had recovered to more than 30,000
  • 12:40and the trans transfusion thresholds
  • 12:42used during the study where per
  • 12:45standard of care the primary endpoint
  • 12:47was the proportion of patients with
  • 12:49WHO grade two or above bleeding with
  • 12:51Grade 2 being moderate bleeding Grade
  • 12:543 being severe bleeding requiring
  • 12:56transfusion of red blood cells or
  • 12:58other intervention and grade for being
  • 13:00life threatening or debilitating bleed bleed.
  • 13:03Additional secondary and safety
  • 13:04endpoints are outlined on the slide
  • 13:07here and include rate of thrombosis,
  • 13:09vino occlusive disease and mortality.
  • 13:15There were 330 patients,
  • 13:16a valuable in the study with 165 on each arm,
  • 13:19and the two groups were well balanced by age,
  • 13:22gender, and type of therapy.
  • 13:24Only 9% of the patients actually
  • 13:26completed 30 days on drug,
  • 13:28with an average of 12 days on train exam.
  • 13:31IC acid or placebo.
  • 13:32And as you can see in the
  • 13:34table here on the left,
  • 13:36the primary outcome of proportion of
  • 13:38WHL grade two or higher bleeding was
  • 13:40no different between the tranexamic
  • 13:42acid and placebo, placebo arms,
  • 13:44and this was also true irrespective of.
  • 13:46The pre specified treatment
  • 13:48subgroups that included allogeneic
  • 13:50stencel stem cell transplant,
  • 13:52autologous transplant,
  • 13:53and chemotherapy alone.
  • 13:55The time to 1st WH O2 or more
  • 13:57two or higher bleeding or death
  • 13:59was also remarkably similar,
  • 14:01with the lines overlying each other
  • 14:03in the graph, seen here on the right.
  • 14:06Mean platelet transfusion mean
  • 14:08days alive with WHO two or more
  • 14:10bleeding an mean red blood cell
  • 14:13transfusion per thrombocytopenia.
  • 14:14Cdai were also not impacted by
  • 14:17the use of tranexamic acid.
  • 14:19There was,
  • 14:19however,
  • 14:20a statistically significant
  • 14:21increase in the overall thrombotic
  • 14:23events on the tranexamic acid arm,
  • 14:25though this primarily was made up of
  • 14:27line occlusions with a trend that was
  • 14:30actually fewer in of non catheter
  • 14:32thrombotic events in the treatment arm.
  • 14:34There was no increase in Vino occlusive,
  • 14:36disease,
  • 14:37or alcors all cause mortality
  • 14:38at either 30 or 20 days,
  • 14:40and no deaths were observed
  • 14:42as the result of thrombosis.
  • 14:44So based on all of this,
  • 14:46train exam IC acid administered
  • 14:48prophylactically,
  • 14:48in addition to routine platelet
  • 14:50transfusion did not seem to increase,
  • 14:52decrease the rate of WHL grade 2
  • 14:54plus or bleeding in patients who
  • 14:56are severely thrombocytopenia
  • 14:57IK as a result of treatment for
  • 15:00their hematologic malignancy.
  • 15:01It also did not seem to alter
  • 15:03transfusion requirements and and
  • 15:05actually resulted in an increased rate
  • 15:07of central line occlusion events,
  • 15:09and so the authors emphasize,
  • 15:10despite these findings,
  • 15:11that the utility of tranexamic
  • 15:13acid in other settings with
  • 15:15thrombocytopenia cannot be excluded.
  • 15:17By this study alone.
  • 15:20So moving on to an abstract presented
  • 15:23by Doctor Steven Pipe from the
  • 15:25University of Michigan on the long term,
  • 15:28durability, safety,
  • 15:29and efficacy of fat userin prophylaxis,
  • 15:31prophylaxis in patients with
  • 15:33hemophilia A or B with or without
  • 15:36inhibitors as seen on the slide here.
  • 15:38So for twos are in is a small interfering
  • 15:42RNA that as described in the schematic,
  • 15:45blocks the production of anti
  • 15:46thrombin and as a result increases
  • 15:49or improves thrombin generation and.
  • 15:51Remote team of stasis and individuals
  • 15:53with hemophilia of phase one.
  • 15:55Study of monthly subcutaneous photographer
  • 15:57to Sarandos ING was previously
  • 15:59reported in the New England Journal
  • 16:01of Medicine in 2017 and demonstrated
  • 16:03that this drug was well tolerated and
  • 16:06also reliably lowered antithrombin
  • 16:07in a dose dependent manner resulting
  • 16:09in decreased bleeding frequency.
  • 16:11So in this trial adult male patients
  • 16:14with moderate severe haemophilia
  • 16:15moderate or severe hemophilia A or
  • 16:17B who had tolerated for chooser in
  • 16:20in the Phase one study were eligible
  • 16:22to continue into this phase.
  • 16:24A2 cohort,
  • 16:25which was an open label extension
  • 16:27portion and they receive photos,
  • 16:29are in at a dose of 50 or 80
  • 16:32milligrams subcutaneous monthly.
  • 16:34The primary endpoints were
  • 16:35safety and adverse events,
  • 16:37and there were key secondary endpoints
  • 16:39that included a calculated median.
  • 16:41Analyze the annualized bleed rate
  • 16:43pharmacokinetics in quality of
  • 16:44life in the in the patient cohort.
  • 16:4934 patients were included in this portion of
  • 16:52the study with a median age of 35.4 years.
  • 16:55And this included 27 individuals with
  • 16:58hemophilia A, A7 individuals with
  • 17:00hemophilia B and 15 out of the group
  • 17:02had inhibitors with 19 individuals.
  • 17:05Not having an inhibitor.
  • 17:06Patients received a median of 3.1 years of
  • 17:10a tutor inducing as of the data cut off,
  • 17:12which was September of 2020 and 12
  • 17:15individuals were on the 50 milligram dose,
  • 17:17with 22 being on the 80 milligram dose.
  • 17:20But user and was noted in this study
  • 17:23to decrease antithrombin levels quickly
  • 17:24with sustained levels that remained at
  • 17:27or below 20% in individuals who remained
  • 17:29on the drug and so this was confirmed.
  • 17:32The findings of the Phase one portion
  • 17:35of the study.
  • 17:36Immediate analyzed bleed rate was
  • 17:38calculated for this cohort after
  • 17:40achieving antithrombin knockdown an
  • 17:42was zero for treated bleeds during
  • 17:44the follow up period.
  • 17:45The figure included here on this slide
  • 17:48is a result from a post hoc analysis
  • 17:51of 258 treated bleeds in 15 subjects,
  • 17:54with each separate graph showing data
  • 17:56on bleed causality, bleed location,
  • 17:58an bleeds severity and from left to
  • 18:01right in patients with hemophilia
  • 18:03A with no inhibitor hemophilia.
  • 18:05A patients with an inhibitor hemophilia
  • 18:07B patients without an inhibitor and
  • 18:10hemophilia B patients with an inhibitor.
  • 18:12So while this is a bit of a busy figure,
  • 18:15the takeaway is really that breakaway
  • 18:18breakthrough bleeds occurred mostly
  • 18:19in the joints or mild in nature,
  • 18:21and tended to be more spontaneous in
  • 18:23those individuals with inhibitors.
  • 18:24These breakthrough bleeds were managed
  • 18:27with factor replacement or bypassing
  • 18:29agent per the study management guidelines
  • 18:31with a focus on reduced doses to try
  • 18:34and minimize the potential thrombotic risk.
  • 18:37However,
  • 18:37in the safety analysis of this study,
  • 18:4097% of patients experienced at least
  • 18:43one adverse event with 38% having a
  • 18:45serious adverse event which included
  • 18:48the events such as an arterial
  • 18:50thrombosis in one patient and a death
  • 18:53that actually occurred in 2017 as a
  • 18:55result of a cerebral vein thrombosis.
  • 18:58So in October of 2020,
  • 19:00Sanofi voluntarily paused enrollment,
  • 19:02inducing with Catoosa,
  • 19:03ran to further investigate these adverse
  • 19:05events and the rate of thrombotic
  • 19:07events in the clinical trials,
  • 19:09these trials have now resumed with
  • 19:12reduced dosing of Fatou Suran,
  • 19:14initially at 50 milligrams every
  • 19:15other month in order to target and
  • 19:18antithrombin level of 15 to 35%,
  • 19:20which was found to be less associated
  • 19:23with the thrombotic events.
  • 19:25So in summary,
  • 19:26for chooser and is an investigational
  • 19:29small interfering RNA therapeutic
  • 19:30and it has the potential use as a
  • 19:33prophylactic treatment in patients
  • 19:35with hemophilia A or B with or
  • 19:37without inhibitors in order to try
  • 19:39and reestablish hemostatic balance.
  • 19:41However,
  • 19:41further evaluation of its safety
  • 19:43is imperative,
  • 19:44and phase three trials of this
  • 19:46drug are are now ongoing.
  • 19:50And so I'll switch gears a bit with
  • 19:52this abstract that was presented by
  • 19:54Doctor Brooks Sadler from Washington
  • 19:56University School of Medicine on Geno
  • 19:58type analysis of adolescents with low.
  • 20:00One willibrand factor,
  • 20:02an heavy menstrual bleeding.
  • 20:04She noted that heavy menstrual bleeding
  • 20:06occurs in about 1/3 of adolescent
  • 20:08women and accounts for 2/3 of patients
  • 20:10who require hysterectomy and the
  • 20:12prevalence of bleeding disorders,
  • 20:14including von Willebrand disease in this
  • 20:16cohort is higher than the general population.
  • 20:19However, no,
  • 20:19no one has looked or evaluated
  • 20:22at other genetic hemostatic risk
  • 20:23factors that may play a role here.
  • 20:26So in this study,
  • 20:2886 adolescent patients who met criteria
  • 20:30for heavy menstrual bleeding and had von
  • 20:33Willebrand activity between 30 and 50%.
  • 20:35Were enrolled in the study and underwent
  • 20:38whole exome sequencing that was compared
  • 20:40to 600 unrelated in-house controls.
  • 20:42The sequencing interesting Lee revealed
  • 20:44in excess of rare stop gain and stop
  • 20:47loss mutations in genes associated
  • 20:49with bleeding or haematologic diseases
  • 20:51as outlined in the slide here.
  • 20:53There was also an excess of rare
  • 20:56pathogenic variants that were
  • 20:57observed in jeans that cause anemia
  • 21:00or cause disease with anemia as a
  • 21:02major symptoms of major symptom.
  • 21:04This included variance in Adams TS 13,
  • 21:07Fink,
  • 21:07CA and G6PD and the other jeans
  • 21:10that are listed here.
  • 21:12There was analysis Additionally for
  • 21:14common single nucleotide polymorphism's
  • 21:16or snips that were that identified,
  • 21:183 common snips infirm too,
  • 21:20and this past genome wide significance as
  • 21:23seen in the figure here on the right firm T2,
  • 21:26encodes a cytoskeletal protein
  • 21:28that is important in hemostasis,
  • 21:30angiogenesis and blood vessel,
  • 21:31home homeostasis, and so.
  • 21:33This was the first whole exome
  • 21:35sequencing study in patients with heavy
  • 21:38menstrual bleeding and suggest there
  • 21:40may be some Association in this group.
  • 21:42With both rare and common
  • 21:44variants in hemostasis and anemia,
  • 21:46genes that warrant further
  • 21:48validation in larger studies.
  • 21:52And Lastly, I wanted to touch upon
  • 21:55the abstracts that presented data
  • 21:57on the use of kobid 19 convalescent
  • 21:59plasma convalescent plasma,
  • 22:01which is collected from individuals
  • 22:03who have recovered from infection,
  • 22:05is a therapeutic modality that's
  • 22:07actually been used for over a
  • 22:09century with the aim to transfer
  • 22:11virus neutralizing antibodies to
  • 22:13patients who have active infection.
  • 22:15However, data on its use in COVID-19
  • 22:18has been limited and quite mixed.
  • 22:20And so I'll highlight here again,
  • 22:23the five abstracts that presented
  • 22:25some additional data.
  • 22:26So in our institutional experience
  • 22:28with 105 patients with severe or life
  • 22:30threatening COVID-19 who were transfuse
  • 22:32one unit of convalescent plasma through
  • 22:34the national Expanded Access program,
  • 22:37we saw that 42.9% of patients had
  • 22:39improvement in their WHO ordinal scale,
  • 22:42which is a score comprised of
  • 22:44functional status, level of care,
  • 22:46and oxygen supplement Tatian.
  • 22:48Interestingly,
  • 22:48we observed a correlation between D
  • 22:51dimer level more than five at 2448
  • 22:53and 72 hours after transfusion.
  • 22:55Convalescent, plasma, and mortality.
  • 22:57Ibrahim and colleagues shared
  • 23:00data on 17 patients,
  • 23:02six of whom were being treated
  • 23:04for a hematologic malignancy,
  • 23:06and these individuals were transfused
  • 23:08one to two units of COVID-19
  • 23:10convalescent plasma that had concert
  • 23:12confirmed positive antibody titer,
  • 23:14and they also observed a decrease
  • 23:17in the mean WHO ordinal score by
  • 23:20two points at the time of discharge
  • 23:23of multi center phase two trial
  • 23:25presented by Doctor Al Hashmi
  • 23:27compared 178 covid convalescent plasma
  • 23:30recipients to 391 matched controls.
  • 23:33Is a significant reduction in 30
  • 23:34day mortality in the treatment arm.
  • 23:36In this study,
  • 23:37though Interestingly they observed that
  • 23:39the hospital and ICU length of stay
  • 23:41as well as duration of intubation was
  • 23:43longer and that was actually longer
  • 23:44in the convalescent Plasma Group.
  • 23:46Another phase,
  • 23:47two matched case control study looked
  • 23:49at a smaller number of hospitalized
  • 23:51COVID-19 patients who received 2 units
  • 23:54of transfusion and there was a trend
  • 23:56in this group towards improved survival,
  • 23:58though this was not
  • 23:59statistically significant,
  • 24:00it was noted in this study that the
  • 24:02donor plasma was quite heterogeneous,
  • 24:04with an increase in antibody
  • 24:06activity observed in some,
  • 24:07but not all,
  • 24:08of the patients included in the study,
  • 24:11and interesting Lee,
  • 24:12those who had undergone anti CD 20
  • 24:14treatment in the last year had a demo
  • 24:17demonstrated an impaired response.
  • 24:18In regards to antibody activity
  • 24:20and Lastly a multi center Phase 1
  • 24:23two trial of 70 patients who had
  • 24:25received COVID-19 convalescent
  • 24:26plasma found that 30 day overall
  • 24:29survival was improved in those
  • 24:31patients who had severe acute
  • 24:33respiratory distress syndrome as a
  • 24:35part of their COVID-19 infection,
  • 24:37though there was an adverse event rate
  • 24:39of 3.65% and there was one patient
  • 24:42who was observed to have transfusion,
  • 24:44associated circulatory overload and
  • 24:46a second that was observed to have a.
  • 24:49A venous thromboembolic event.
  • 24:54So the QR code included here on
  • 24:56this slide links to a section of
  • 24:58the ash website that discuss is
  • 25:00our available evidence on COVID-19.
  • 25:03Convalescent Plasma provides a summary.
  • 25:05As you can see, just from
  • 25:07the data presented today,
  • 25:08information on its effectiveness
  • 25:10has been somewhat mixed and
  • 25:11we're really awaiting data from
  • 25:13larger randomized control trials.
  • 25:15There are some themes that have emerged,
  • 25:17and they include the importance
  • 25:19of both antibody titer,
  • 25:21but more notably neutralizing function in
  • 25:23the donor COVID-19 convalescent plasma.
  • 25:25As well as the benefit of providing this
  • 25:28treatment earlier in disease course,
  • 25:30there has been concern raised by our
  • 25:32group and others regarding whether
  • 25:34COVID-19 convalescent plasma may
  • 25:36actually potentiates the already
  • 25:38increased thrombotic risk.
  • 25:39An end to Ophelia Opathy that we now
  • 25:42know occurs with COVID-19 and further
  • 25:44investigation into this is warranted.
  • 25:46So taking this all into account
  • 25:49as of just actually last week,
  • 25:51the FDA has updated their emergency
  • 25:53use authorization for COVID-19
  • 25:55convalescent plasma.
  • 25:56Really limiting it to use of high
  • 25:58titer plasma for hospitalized
  • 25:59patients that are early in their
  • 26:01disease course and those who may
  • 26:03have impaired humoral immunity.
  • 26:07Thank you and I'll turn it over to Alex now.
  • 26:14Thank you Sabrina. I'm just.
  • 26:33OK, hopefully everybody can see the screen.
  • 26:40Alright, wanted to say thank you to decide
  • 26:44and Megadeth for putting all this together
  • 26:49and everybody who's contributed else.
  • 26:53Um, exciting, serious, and learning a lot.
  • 26:55So I am going to see if I
  • 26:58can move the slides. Yes,
  • 27:01I'm just going to touch upon a few guests. 3.
  • 27:06The abstracts that that that and identified,
  • 27:10and specifically about cancer,
  • 27:12associated venous thromboembolism
  • 27:13and one of the new exciting agent
  • 27:17for reversal of anticoagulation.
  • 27:18And then I'm going to touch
  • 27:22base and our own work.
  • 27:25Thrombosis and COVID-19.
  • 27:27How it actually. Informed us about
  • 27:32in conditions beyond COVID-19.
  • 27:35No disclosures on my end.
  • 27:38Um, so the.
  • 27:39One of the first highlight the
  • 27:42this abstract about machine
  • 27:45learning for prediction of cancer.
  • 27:49Social verbalism,
  • 27:50especially in the setting of new
  • 27:53guidelines that ash guidelines
  • 27:55that have been just released
  • 27:57about cancer regarding cancer.
  • 28:00Associated venous thromboembolism
  • 28:01just the other day and as you all
  • 28:06know we there are several clinical
  • 28:09prediction rules of which comma score.
  • 28:12Is most validated and had been.
  • 28:15Used to stratify the risk in multiple trials,
  • 28:21including most recently a PERT and
  • 28:25Cassini RCT S42 Deluxe prophylactic
  • 28:28regimen versus placebo and recall.
  • 28:33It's pretty simple score to
  • 28:37to use the questions.
  • 28:41We have been raised over the over
  • 28:44over the years is exactly where
  • 28:46the draw the line in terms of
  • 28:49prophylaxis versus which group to sort
  • 28:52of start prophylactic production,
  • 28:54if at all.
  • 28:56And Furthermore,
  • 28:57since Corona score as anybody know,
  • 28:59several other scores have been
  • 29:01released that had also been
  • 29:03addressing certain features that had
  • 29:06not been including current score.
  • 29:08But unfortunately all of them have been.
  • 29:11Not so useful in terms of prediction
  • 29:16because their predicted power
  • 29:18was not was in moderate mild to
  • 29:22moderate sort of territory with
  • 29:25statistics between .6 and .7.
  • 29:28So for Corona score itself,
  • 29:32there's a three categories so long to medium,
  • 29:36high and specifically in
  • 29:39high in the original.
  • 29:41An original paper by Doctor Corona.
  • 29:45We know that the rate of DTE was
  • 29:49about 7% in high risk cohort,
  • 29:52so the authors of this app start from
  • 29:57Libor Sloan, Kettering, US Sameta and.
  • 30:00Microsoft Group they sought to use
  • 30:03to to utilize the machine learning
  • 30:06algorithms to inform about the which
  • 30:09features actually would be more
  • 30:11productive in there for create a
  • 30:14score or update the current score
  • 30:16that potentially could increase
  • 30:18the its predictive power.
  • 30:21So they positive that they
  • 30:24would use known predictors.
  • 30:27It from Corona score.
  • 30:28They would utilize too much
  • 30:30genomic information that they they
  • 30:33collect it in their preferred their
  • 30:36profiling assay with 341 uncle gene
  • 30:38and tumor suppressor genes.
  • 30:40Overall,
  • 30:41they had a significant number of patients
  • 30:45at 12,000 out of those they had about 850.
  • 30:50It's something about like events in
  • 30:52the span of six months from from
  • 30:56the diagnosis from enrollment,
  • 30:58and most frequent cancer along
  • 31:00Bryson colorectal.
  • 31:01They did not include upper extremity
  • 31:04DVT's and their collected.
  • 31:06This is amazing that they collected
  • 31:09all these events from clinic
  • 31:12from review of clinical notes,
  • 31:14radiology reports and text search,
  • 31:17which itself is very valiant effort knowing.
  • 31:20Anne. From now, from my from my
  • 31:25own experience doing similar work.
  • 31:28So as far as the predictors that they
  • 31:31put that they use in the in the model,
  • 31:35which was not really clear how they
  • 31:38selected it, but it seemed like it
  • 31:41was some sort of manual selection.
  • 31:44Not unbiased informed selection,
  • 31:46at least based on their abstract
  • 31:48and presentation.
  • 31:49So the tumor type status of metastases,
  • 31:53age, cytotoxic chemotherapy time since
  • 31:55cancer diagnosis, tumor sampling,
  • 31:57and they included interesting
  • 31:59without the blood counts.
  • 32:00In the prior three months.
  • 32:04Indices of calculation be my end. Of course.
  • 32:08Those somatic genetic alterations on
  • 32:11the jeans in tumor suppression genes,
  • 32:15of which they include 56.
  • 32:18And so when they put it all together
  • 32:21and they used this fancy math,
  • 32:23the random survival forest
  • 32:25basically to create a model to
  • 32:27fit the model using all of these.
  • 32:30Various sets of permutations of the features,
  • 32:33the predictors and what they come up with.
  • 32:36It came up with basically
  • 32:38that if you include all of it,
  • 32:41that gives usage statistics of .7 is
  • 32:44just the kind of worry and people here.
  • 32:47If it's insisted 6.5 is a coin toss,
  • 32:51so basically it doesn't predict
  • 32:53anything and see statistics of one.
  • 32:55It's the perfect sensitivity,
  • 32:57specificity of 5%, of course is unreachable.
  • 33:00So somewhere in between that,
  • 33:02the higher the better.
  • 33:05But .7 ISM is it.
  • 33:08Legitimate number,
  • 33:09and as I would like to remind everybody,
  • 33:13the original credit score
  • 33:15system tistic was also .7.
  • 33:19They also then separated their
  • 33:21population into five groups,
  • 33:23although how they get it not
  • 33:26clearly was outlined as well,
  • 33:29and it's five risk groups based on the.
  • 33:36Incidence of VTE I presume,
  • 33:39and so then they validated this with
  • 33:43the model in the said that that is.
  • 33:48Per their validation metric that was
  • 33:51validated, model was performed well.
  • 33:55With, Interestingly enough,
  • 33:57when they looked at which
  • 34:00predictors had been most predictive
  • 34:03of the venous thromboembolism,
  • 34:05they found that it's a cancer type came,
  • 34:10whether patient received chemotherapy,
  • 34:14platelet count.
  • 34:16PT White count and so on was interesting.
  • 34:20This is out of these features.
  • 34:25Where this is not a selection,
  • 34:27so these features were determined.
  • 34:30The importance of these features was
  • 34:32determined in in sort of post hoc.
  • 34:35These are not the features that
  • 34:39were selected to go into the model.
  • 34:43That's it, that's a key issue,
  • 34:45because in my opinion, because.
  • 34:49If the if you if you if the features
  • 34:52are included in a biased way,
  • 34:55the prediction of course would
  • 34:58potentially suffer as well.
  • 35:00And so out of all the genes that they pulled.
  • 35:05As you can see this STK 11 was found
  • 35:08to be significant and only one of them
  • 35:12based on value of false detection rate.
  • 35:16So every every other one gene
  • 35:19was not considered significant.
  • 35:21And as people probably know,
  • 35:23STK 11 is actually tumor suppressor
  • 35:26gene out of all possible jeans.
  • 35:30So question on my end that I sort
  • 35:32of would like to one of wanted to
  • 35:35clarify was unclear how initial
  • 35:38features were selected,
  • 35:39and again that's important because the
  • 35:42biased it will be by a set of features
  • 35:45if it manually manually selected and
  • 35:48similar to other clinical scoring tools.
  • 35:50So there are some robust methods
  • 35:53exist that feature feature selection
  • 35:55algorithm that you know existed prior
  • 35:57that can be used to to select features
  • 36:00prior to including into the model.
  • 36:02That would be very,
  • 36:04very helpful in China.
  • 36:10Something something like this.
  • 36:12We were actually thinking of doing the
  • 36:15VA and another interesting component
  • 36:17was prior vtu is not included although
  • 36:20has it has a racial quoted somewhere
  • 36:23in between two to three which is not
  • 36:27insignificant risk factor and of course.
  • 36:31Current score is not the dynamic
  • 36:33score and would be interested to know
  • 36:36how variability of the features,
  • 36:38specifically of CBC features assessed.
  • 36:40So overall it's I think it's important
  • 36:43work and I think it's a interesting
  • 36:46how the field of all because again,
  • 36:49even the guidelines have been released,
  • 36:51their sort of,
  • 36:52they still leave a lot of uncertainty
  • 36:55into who which group needs to be
  • 36:58anticoagulated versus whether it's
  • 37:00intermediate group versus high Group.
  • 37:02Um patients for should be inside quite late.
  • 37:05It's still not clear.
  • 37:07I think uncertainties still exist,
  • 37:08and so the the better we have,
  • 37:11the better method we have in terms of
  • 37:14determining which features are important,
  • 37:16I think that's going to be very helpful.
  • 37:20Alright,
  • 37:20so moving on are also an interesting
  • 37:24abstract about than you.
  • 37:26A reversal agent for anticoagulation.
  • 37:31This is really interesting.
  • 37:34Abstract the work has been going
  • 37:37on for quite awhile and I found
  • 37:41references going quite badly.
  • 37:43Even just doesn't 14 but essentially
  • 37:45pseudoprime tag is a small molecule
  • 37:48that was initially designed through
  • 37:51very rational design to reversibly
  • 37:53bind to fractionated heparin low
  • 37:56molecular weight heparin through
  • 37:58noncovalent charge charge interaction
  • 38:00with it was interesting that
  • 38:03they unexpectedly they found.
  • 38:05That it also binds the DOAX,
  • 38:07which prevents their Association
  • 38:09with factor 10 factor to rain,
  • 38:11but it doesn't bind to a lot
  • 38:14of things at a lot of drugs.
  • 38:17It doesn't bind to albumin and
  • 38:20doesn't bind to actual factors,
  • 38:22and so they say uh-huh.
  • 38:24Let's try to reverse.
  • 38:26Let's try to use their parents like
  • 38:29to reverse do act like apixaban oral
  • 38:33molecular weight heparin so they.
  • 38:35They've done that in animals and in humans.
  • 38:40So here you can see that for
  • 38:43instance on the left.
  • 38:45A pain where you can see that several
  • 38:50hours after administration of edoxaban.
  • 38:54Sorry for typo the.
  • 38:59After the silicone flag was administered,
  • 39:01there was a very rapid.
  • 39:04Reversal a curd that actually stayed.
  • 39:08Plateaued for a number of hours
  • 39:10and then on the right side the same
  • 39:13idea with low molecular weights
  • 39:15in same sort of data that,
  • 39:18with different doses of Sopron tags.
  • 39:22The universal was fairly complete.
  • 39:25Below 10% of baseline.
  • 39:27Now the metric that's being used
  • 39:30to determine this is a whole
  • 39:33blood clotting time,
  • 39:34and that's and that's actually important,
  • 39:37because apparently I cannot activity
  • 39:40of Sharon Cycle rather reversal.
  • 39:45Enter calculation cannot be determined
  • 39:47using regular typical methods.
  • 39:49For instance using PT PTT
  • 39:51because your parent act would be
  • 39:55in in the in the in the tube,
  • 39:57in the inner tube of blood.
  • 40:00It would be pulled competitively
  • 40:03inhibited by like say,
  • 40:05citrate or ETA that already
  • 40:07present in the tube,
  • 40:09so therefore they used whole
  • 40:12blood clotting time.
  • 40:13So now the abstract itself actually
  • 40:16presents the two studies to phase
  • 40:19two will see what controlled
  • 40:22RCT one for Apixaban and the
  • 40:24other one for rear axle band,
  • 40:27where they actually.
  • 40:30Looked at reversal Cedar parents
  • 40:33like versus placebo and it's
  • 40:37very simple design in both arms.
  • 40:40Both studies.
  • 40:41Essentially they used doac to reach
  • 40:46a steady state and then they gave
  • 40:50patients Sera parent tag on different
  • 40:54doses and contract the whole blood.
  • 40:59A cloud.
  • 41:00Including time and again because the
  • 41:04other parameters cannot be used.
  • 41:07And in point was that WBC
  • 41:10T should be below 10%,
  • 41:13and so how fast that actually happens.
  • 41:16And So what they showed again,
  • 41:19that in both cases for the Pixel banner
  • 41:23over oxygen that indeed within hours
  • 41:26within actually minutes the for in
  • 41:30different doses of shared parent tag,
  • 41:33the reversal was rather.
  • 41:37Especially in this,
  • 41:38in higher doses like syntax 60 milligrams,
  • 41:41220 milligrams in takes a band and higher
  • 41:46doses in rivaroxaban group as well.
  • 41:50Then they also looked at how fast in again,
  • 41:54how long the reversal remained.
  • 41:57And again,
  • 41:58in both groups fix again,
  • 42:00but were actually in the high
  • 42:04dose single parent tag.
  • 42:06The highest dose children tag in each group.
  • 42:10River traversal was rather fast
  • 42:12within within 660 minutes in
  • 42:15apixaban 100% patients have
  • 42:17been reversed to the target.
  • 42:20Of less than 10% of baseline for
  • 42:22a whole bottle of whole blood
  • 42:24clotting time and in Russia ban
  • 42:27even even faster in 30 minutes.
  • 42:29So it's an interesting concept is
  • 42:32interesting new molecule which product
  • 42:34which is undergoing studies like
  • 42:37phase two and probably would be.
  • 42:39Can soon enter phase three with
  • 42:42a very exciting profile.
  • 42:44There's no prothrombotic signal,
  • 42:46no evidence to promote it signaled they
  • 42:51actually looked at the D dimer and.
  • 42:54Uh, and that was not affected.
  • 42:57There's potential.
  • 42:59The interesting question that could
  • 43:01be raised that whether magnesium
  • 43:05and calcium in Vivo could could
  • 43:08have any effect on sort of pulling
  • 43:11setup Ramtek out of the.
  • 43:13Interaction with the aid with the agents.
  • 43:16Anticoagulation agents but it
  • 43:18probably in molar concentration
  • 43:20such that probably not really
  • 43:22likely an interesting concept
  • 43:24that an anticoagulation,
  • 43:26if necessary can be re stored and re
  • 43:29established 24 hour reversal without any.
  • 43:35In effect cost, of course the issue,
  • 43:38and I'm sure George some point
  • 43:40will do the cost analysis.
  • 43:42I hope if that comes to that and
  • 43:45then with that I'll move to.
  • 43:48To our to my final discussion of the
  • 43:53work that we sort of we presented at ASH.
  • 43:58That in form has been
  • 44:00informing us beyond COVID-19,
  • 44:03which is quite interesting discussion.
  • 44:05So what we wanted to.
  • 44:09Look at is a weather items test 13.
  • 44:13Another imbalance of atoms TS 13 an
  • 44:16Fonville burn factor could potentially
  • 44:18serve as a marker of uniform
  • 44:21doses in patients with COVID-19,
  • 44:24that was our initial goal,
  • 44:26so we last year we right in the
  • 44:30beginning of pandemic we sort of
  • 44:34have this lack of having number of.
  • 44:38Great researchers working,
  • 44:40collaborating with George Washago shoe
  • 44:44and Enchong after deadly and math mileage.
  • 44:48And we.
  • 44:52Show that one from
  • 44:53building factor, of course.
  • 44:55It's been shown since then many,
  • 44:57many times is quite elevated
  • 44:59in patients with coded 19,
  • 45:01and this specifically much more elevated
  • 45:04in patients with critical disease.
  • 45:06We also know from other studies
  • 45:08from studies so far not related
  • 45:10to coordinating at all,
  • 45:12that Adams TS13 deficiency.
  • 45:1613 is reduced in inflammatory states
  • 45:19like cancer stroke and sepsis.
  • 45:21Interestingly enough,
  • 45:22in animal models, Adams,
  • 45:24tutti and efficiency increases.
  • 45:25Release of from building
  • 45:28factor from from platelets.
  • 45:30It increases increases adhesion to white.
  • 45:35Neutrophils,
  • 45:35white count white cells to the civilian
  • 45:37and enhances neutrophil extravasation.
  • 45:39So what we then looked we going back
  • 45:42to the to the cohort to our data
  • 45:45and we will look at what kind of
  • 45:49relationship exists between Adams test
  • 45:5113 an from villain factor antigen activity.
  • 45:54We found that indeed.
  • 45:57In critical disease in patients
  • 45:59with critical disease,
  • 46:01it's indeed lower.
  • 46:02The balance is such that this ratio is lower.
  • 46:07We also showed earlier this year
  • 46:10that there's several markers
  • 46:12of neutrophil activation that
  • 46:13been associated with ICU status,
  • 46:16and we collaborate with this with
  • 46:19adjacency Cheyenne David Friend.
  • 46:22**** and what we can infer that
  • 46:25we show that at the absolute
  • 46:27neutrophil count and image resized
  • 46:30to neutrophils have been associated
  • 46:32and could discriminate mortality and
  • 46:35we used our Dom Kodiaks database.
  • 46:39For that so then when we went to Adams
  • 46:42just watching from Wilburton ratio,
  • 46:46we also showed that that he had
  • 46:49actually inversely related to neutrophil
  • 46:51and initial to lymphocyte ratio,
  • 46:54and Furthermore we when we looked at
  • 46:57whether this disbalance also associated
  • 46:59with the the neutrophil markers
  • 47:02markers of neutrophil activation
  • 47:04is GF resistant Lipo Callanan I'll
  • 47:07eight that indeed we found that.
  • 47:10All those markers were associated
  • 47:14with worsening.
  • 47:15Reducing the rate reduce the ratio for
  • 47:18Adams Tester team to fund building factor,
  • 47:21which again could indicate the
  • 47:23potential prothrombotic process.
  • 47:25Furthermore,
  • 47:25we also looked at the same exact idea about.
  • 47:31L Association with the ratio
  • 47:33with Taiwan with.
  • 47:35Fabulous inhibitor and again the
  • 47:38same situation with where Adams just
  • 47:42looking for the ratio is lower.
  • 47:45So overall we show that lower so
  • 47:47Adam Sistine Info Bill from building
  • 47:49factor Disbalance exist.
  • 47:51So shaded with inhibitor for lysis,
  • 47:53markers of neutrophil activation
  • 47:55and there are four its potential
  • 47:57email somebody in uniform biotic
  • 47:59market foreign botic complication.
  • 48:01What's really interesting now is
  • 48:02that what we do now is actually we're
  • 48:05looking specifically at people at
  • 48:07patients with COVID-19 and without
  • 48:09coordinating but who had actual thrombosis.
  • 48:12So now we actually will be able to.
  • 48:15Tying this with this ratio
  • 48:17with thrombosis itself,
  • 48:18and of course going beyond COVID-19,
  • 48:21all of it applies.
  • 48:23This platform can be scaled up.
  • 48:25This idea can be scaled up to
  • 48:28basically any uniform body disorder,
  • 48:30an also synthetic malignancies,
  • 48:32which we would like to explore as well
  • 48:35and with that will yield the floor.
  • 48:43Thank you so much, Alex and.
  • 48:46For the last part of the talk.
  • 48:49I am going to talk about other
  • 48:51topics in classical mythology.
  • 48:53Good afternoon everybody.
  • 48:54My name is George Joshua and one
  • 48:56of the senior fellows in the Yale
  • 48:59Hematology Oncology Fellowship program.
  • 49:01And it is a pleasure to
  • 49:02be talking to you today.
  • 49:04I have no disclosures.
  • 49:06There are four apps we're going to
  • 49:08cover and I will speak through this,
  • 49:11so we finish on time and we're
  • 49:13going to talk about gene editing.
  • 49:15And we're going to talk about
  • 49:17complement system performance,
  • 49:18health outcomes, research.
  • 49:20And a little bit of coping.
  • 49:2219 So to start off.
  • 49:24First abstract #4 entitled CRISPR CAS
  • 49:269 gene editing for sickle cell disease
  • 49:28and beta thalassemia by doctors.
  • 49:30Frangou and colleagues.
  • 49:30Miss was a plenary talk and
  • 49:32also simultaneously published
  • 49:33in human Journal Medicine.
  • 49:35For context to the reason
  • 49:36why the study is important.
  • 49:40Football.
  • 49:45Emma.
  • 49:47Bo team. Both.
  • 49:54Valve should have.
  • 49:57What is speed? Your line is.
  • 50:03Is script more than one?
  • 50:09For the intervention,
  • 50:10here is analogous selling 001,
  • 50:13and it is edited.
  • 50:19Speak.
  • 50:31OK, I suppose we disconnected there.
  • 50:35Alright. Alright,
  • 50:38so back to the figure as it was saying.
  • 50:41So this is crisper cast 9
  • 50:43technology on the X axis.
  • 50:45You see months before birth and
  • 50:47after birth and on the Y axis globin
  • 50:50synthesis and percentage fetal
  • 50:51hemoglobin goes to adult hemoglobin.
  • 50:53BCL 11 is an important
  • 50:56transcription factor so.
  • 50:57If you take a look at.
  • 51:00The nucleus and the guide RNA.
  • 51:02The target is in the Erythroid
  • 51:04Enhancer region and by disrupting
  • 51:06that with gene editing we can
  • 51:08alter the expression of BCL 11A.
  • 51:10Effectively shutting down.
  • 51:14The production of globin and
  • 51:16increasing fetal hemoglobin.
  • 51:17So you will see the results here in
  • 51:19the first 2 patients presented by
  • 51:21Doctor Strangle and colleagues on
  • 51:23the left you have a patient with data
  • 51:25file on the X axis you have months.
  • 51:27After CTX user,
  • 51:28one infusion on the Y axis,
  • 51:30hemoglobin in grams per deciliter and
  • 51:31on the and on the right panel you
  • 51:34have patients sickle cell disease.
  • 51:35Pay attention to the areas in the
  • 51:37blue as they expand that's fetal
  • 51:39hemoglobin and you see that in
  • 51:41the case of beta Thal the last
  • 51:43transfusion was at one month.
  • 51:44Prior Post 2 CTX 01 infusion and in
  • 51:46the case of sickle cell disease the
  • 51:48last transfusion was at 19 days.
  • 51:50Status Post ETF 001 infusion the
  • 51:53adverse events are listed here
  • 51:56and all of them were treated.
  • 51:59Abstract number 445 is entitled very
  • 52:00inherited defects of the complement
  • 52:02system and poor performance.
  • 52:03This was presented by Doctor Bendapudi
  • 52:05and colleagues out of the Harvard system.
  • 52:07The context here is that PF is on the
  • 52:10extreme thrombotic end of the GIC spectrum,
  • 52:12and elucidating PF quite gladly
  • 52:14may pave the way for a better
  • 52:17understanding of DIC including.
  • 52:18Are you asking in this subset?
  • 52:22Peach boss Richmond Cody, their competitor.
  • 52:29This with this from the NHL VR.
  • 52:35And you will see violin plots
  • 52:37on the left and the right on
  • 52:40the left is the compliment.
  • 52:42You can set the enrichment in PFS
  • 52:44compared to an slips patients
  • 52:46and on the right quality.
  • 52:50At the doctor ******.
  • 52:52Global in the slides looking at
  • 52:54all the unique variants that the
  • 52:57researchers have found so far to date,
  • 53:00but let me summarize it here.
  • 53:0226 out of have one or more
  • 53:04rare putatively delete,
  • 53:05delete serious mutations.
  • 53:19Sorry for the audio difficulties.
  • 53:21I think George you
  • 53:23might wanna like hide your camera.
  • 53:25Maybe that will help the audio connection.
  • 53:28It might be a connectivity issue.
  • 53:31Um, I wouldn't having connectivity
  • 53:33issues at all and all prior talks.
  • 53:35Can you see this summer right now?
  • 53:39Or no, we can. We see you,
  • 53:41but it keeps freezing, yet it keeps
  • 53:43freezing. Not quite. Sorry bout that.
  • 53:47Um? Let me try this again.
  • 53:55Can you see this here?
  • 53:58Yeah, we can see, but probably better if you
  • 54:01hide your camera so that it flows nicely.
  • 54:07Sorry, I'm not sure what you mean
  • 54:09by hide the camera 'cause all I'm
  • 54:11seeing is the screen on the screen.
  • 54:13Let's see here OK.
  • 54:19Alright, just let me know if we get
  • 54:21disconnected again. You can go ahead. I
  • 54:23think we're good now.
  • 54:25OK, sounds good. Thank you.
  • 54:26So with regards to the
  • 54:28bendapudi at all study,
  • 54:29they found that six of the 8 CR
  • 54:313 variants were loss of function
  • 54:33and these are anti-inflammatory,
  • 54:35while three of seven CR 4
  • 54:37variants are gaining function
  • 54:38and these are pro inflammatory.
  • 54:40So overall supporting very
  • 54:42inflammatory milieu in these patients.
  • 54:44Abstract 47 cost effectiveness
  • 54:46of capitalism had been acquired.
  • 54:47Thrombotic thrombocytopenia purpura was
  • 54:48presented by Joshua and colleagues.
  • 54:50The context for this study is
  • 54:52that complexes map is the first
  • 54:54FDA approved medication. In TTP.
  • 54:56It's endorsed in ITP guidelines,
  • 54:57recently approved in the context of
  • 54:59confidential patient access schemes
  • 55:01for use in the National Health Service,
  • 55:03both discomfort in England has
  • 55:05a high list price of 270,000
  • 55:07US dollars per TCP episode.
  • 55:09Here is a cartoon schematic on
  • 55:11the bottom you see the summary
  • 55:12of the two of the phase two in
  • 55:14the Phase three clinical trials.
  • 55:16You have a patient with the disease state,
  • 55:19the hospitalization for TCP,
  • 55:20who then receive treatment with
  • 55:22their capitalism admin standard
  • 55:23of care labeled as a or placebo
  • 55:25standard care labeled as B and
  • 55:26they can either progress to death
  • 55:28or they can go into remission.
  • 55:30Once in remission they can again relapse.
  • 55:32The total cost for each arm are
  • 55:34in front of you, 324 thousand.
  • 55:36For the campuses in my bar,
  • 55:3784,000 for the standard of care arm.
  • 55:41The five year time Horizon incremental
  • 55:43cost effectiveness ratio here was $1.5
  • 55:46million for the use of capitalism
  • 55:47have in addition to the standard
  • 55:49of care with a 95% confidence
  • 55:51interval of 1.3 to $1.7 million.
  • 55:53Of note,
  • 55:54this is the sensitivity analysis and I'll
  • 55:57just highlight one specific area here.
  • 55:59Researchers looked at parameters
  • 56:00that affect the icier for capitalism,
  • 56:02AB and the one that affected the most
  • 56:05by far is capitalism that cost itself.
  • 56:08Finally,
  • 56:08abstract 529 entitled intermediate dose
  • 56:11anticoagulation and aspirin COVID-19
  • 56:13and Propensity Score match analysis
  • 56:14by not this mindless and colleagues.
  • 56:17The context here is the current active
  • 56:19for preliminary an unadjudicated
  • 56:21data which shows 2 main things.
  • 56:23One that therapeutic versus prophylactic
  • 56:26dose anticoagulation in severely ill,
  • 56:28i.e.
  • 56:28Critically ill patients was halted
  • 56:30utility in December and then January
  • 56:32pre specified security boundary
  • 56:34was achieved in moderately elii non
  • 56:36critically ill patients on therapeutic
  • 56:39versus prophylactic dose anticoagulation.
  • 56:40So it is in this background that
  • 56:42optimization colleagues published their
  • 56:44study in the American Journal of Hematology.
  • 56:46This is an observation ULL study
  • 56:47looking at about 2800 patients
  • 56:49with the primary outcome being time
  • 56:51to in hospital death.
  • 56:52The competing risk of discharge.
  • 56:53I'm showing only a portion of the Yale
  • 56:55guidelines for thromboprophylaxis
  • 56:56for hospitalizations.
  • 56:57COVID-19 on the top right,
  • 56:59and you see that there was a D
  • 57:01dimer cut off that was utilized.
  • 57:04This is the overall study design in
  • 57:06overall cohort of some 2800 patients.
  • 57:08Researchers identified risk factors
  • 57:09for in hospital death and then
  • 57:11created two nested cohorts on the
  • 57:13left anticoagulation court that
  • 57:15were Ben City scored matched for
  • 57:17those risk factors and on the right.
  • 57:19Aspirin versus NASCAR,
  • 57:20notably on patients who were not
  • 57:22on home antiplatelet therapy.
  • 57:23And finally the results of the
  • 57:25multiple analysis following
  • 57:26the propensity score matching.
  • 57:28You will see the hazard ratio for
  • 57:31death for the use of intermediate
  • 57:33dose anticoagulation as compared
  • 57:35to prophylactic is .5 two and
  • 57:37again for in hospital.
  • 57:38Aspirin compared to and
  • 57:39no aspirin again .5 two.
  • 57:41So take homes gene editing in Dallas,
  • 57:44EMEA and sickle cell disease
  • 57:46can alter the disease scorers.
  • 57:49Target gene discoveries facility
  • 57:51genomic studies of breakfast
  • 57:52acquisition by bending colleagues,
  • 57:54capitalism, app costs,
  • 57:55and ATP is quite expensive.
  • 57:57And finally we randomized trial data
  • 57:59on intermediate dose anticoagulation
  • 58:00and antiplatelet therapy.
  • 58:02Thank you.
  • 58:03Look forward to taking your questions.
  • 58:06Yeah,
  • 58:07thank you so much George,
  • 58:09and apologies about the
  • 58:12technical difficulties.
  • 58:13For the next 10 minutes,
  • 58:15doctor Bone and hopefully will moderate
  • 58:18questions for those of you have to leave.
  • 58:21As mentioned, this will be recorded
  • 58:23and should be available for
  • 58:25you for subsequent full option.
  • 58:27Doctor Bone and Alfred.
  • 58:31Great, thank you everybody.
  • 58:38So maybe I can start with a
  • 58:39question that came in through the.
  • 58:42Through the chat room so you Sabrina.
  • 58:46How robust or how good do you feel
  • 58:49about the mycophenolate? In addition to
  • 58:51corticosteroids that it
  • 58:52might begin to
  • 58:53alter practice at this point. Yeah,
  • 58:56you know, I I I have pause.
  • 58:58I don't think it's practice
  • 59:00changing at this point.
  • 59:02You know, I think it's interesting
  • 59:04that there were some decrease in
  • 59:07quality of life in the mpharm.
  • 59:09I think it's important to kind of recognize
  • 59:12that clinical response and kind of patient
  • 59:15experience may not always correlate.
  • 59:17You know, the this steroid
  • 59:19alone arm more than 50%?
  • 59:21About 56% of patients actually
  • 59:23at the end of follow up.
  • 59:25Which was about two years,
  • 59:27had not required second line treatment,
  • 59:28so they did well as in addition
  • 59:30and better than prior studies.
  • 59:32So you know, I think it's interesting,
  • 59:34but I I think we need more data
  • 59:36before we move it to the first line.
  • 59:39Thank you.
  • 59:42To be a payment, go ahead.
  • 59:44At the Harford, I figured we could.
  • 59:46We could like pick,
  • 59:47introduce some of the questions
  • 59:49that are are added in there.
  • 59:51Sabrina. Can you also talk a
  • 59:53bit about tranexamic acid in he
  • 59:55malignancy's and thrombocytopenia?
  • 59:56You know there is positive data for its use.
  • 59:58It's been completely lifesaving in trauma.
  • 01:00:00In postpartum hemorrhage,
  • 01:00:01particularly in Third World
  • 01:00:03countries and under resourced areas,
  • 01:00:04do any comments on why you think it didn't
  • 01:00:07work in the setting of hematologic,
  • 01:00:09malignancy, and thrombocytopenia?
  • 01:00:10Yeah things, but I
  • 01:00:11think that's a great great question and a
  • 01:00:14question that came up for the presenters.
  • 01:00:16The authors as well.
  • 01:00:17You know, I think what they they spoke to,
  • 01:00:20which makes sense to me,
  • 01:00:22is kind of the complexity of
  • 01:00:23microvascular and India theal damage.
  • 01:00:25That happens as a rolls result of
  • 01:00:27chemotherapy, 'cause all of these
  • 01:00:29patients were getting treatment.
  • 01:00:31You know, we know that while prophylactic
  • 01:00:33platelet transfusions has helped
  • 01:00:35in terms of of bleeding incidents,
  • 01:00:37there are still a good proportion
  • 01:00:39of patients that do have bleeding.
  • 01:00:41So you know,
  • 01:00:42I think there may just be more complex
  • 01:00:45pathophysiology in terms of why these
  • 01:00:47patients believe that is beyond low
  • 01:00:50platelets and impaired fibrinolysis.
  • 01:00:52But I agree that I think there are
  • 01:00:55definitely rules and you know,
  • 01:00:56I think even within this population,
  • 01:00:58there may be a role for this in
  • 01:01:00patients who are bleeding or who need
  • 01:01:02procedures or other kind of subgroups.
  • 01:01:05Great Bob, do you want to just sort of
  • 01:01:07tag team back and forth? Uh, sure, in
  • 01:01:09less anyone in the audience
  • 01:01:11has a question, you could raise
  • 01:01:12your hand and will unmute you.
  • 01:01:16But still waiting for
  • 01:01:18that. I I had a question for Alex.
  • 01:01:21So Alex, the data on Adams 13
  • 01:01:24and BWF levels. Do you think
  • 01:01:27that could be the basis for
  • 01:01:29identifying high risk patients who
  • 01:01:32then might be part of a randomized
  • 01:01:35control trial of anticoagulation or not?
  • 01:01:39In in COVID-19 and perhaps other
  • 01:01:42people who are severely infected.
  • 01:01:46Yes, but thank you.
  • 01:01:47Thanks for question. Indeed.
  • 01:01:49I actually have great hopes
  • 01:01:52until data shows otherwise,
  • 01:01:53but I have great hopes that this
  • 01:01:56imbalance Adams just routine for
  • 01:01:58Willebrand factor in balance is,
  • 01:02:01you know for the lack of a better
  • 01:02:04word may be fundamental to Infosys it.
  • 01:02:08Whether it is a marker or A cause,
  • 01:02:11that's I think it remains to be.
  • 01:02:15Is to be seen.
  • 01:02:17But from from Pathophysiologic
  • 01:02:19understanding of how Infosys happens,
  • 01:02:22I think this two markers would be
  • 01:02:25potentially could have that that
  • 01:02:28could have that fill that role.
  • 01:02:31Thank you.
  • 01:02:34Another question for you Alex again,
  • 01:02:36great session, great summaries.
  • 01:02:37All of you guys you know
  • 01:02:39for predicting cancer,
  • 01:02:40associated thrombosis.
  • 01:02:41You kind of mentioned this that you know
  • 01:02:43the Corona score has been around awhile.
  • 01:02:45There been other scores.
  • 01:02:46There's been positive data to support
  • 01:02:48the use of prophylactic integration
  • 01:02:50for years and years and years,
  • 01:02:51but an even most recently with doacs
  • 01:02:54and yet no major consensus group has
  • 01:02:56come down to support that practice.
  • 01:02:58So so do you feel that this machine
  • 01:03:00learning algorithm will change
  • 01:03:01clinical practice in that regard?
  • 01:03:03Or do you still feel that we need?
  • 01:03:05Better tools to predict who will
  • 01:03:08actually get cancer thrombosis.
  • 01:03:10So I'm a big believer in machine
  • 01:03:13learning just because it make it
  • 01:03:15can crunch a lot of data in that.
  • 01:03:18From that perspective,
  • 01:03:19I think as a data generator and
  • 01:03:21hypothesis generator generating technique,
  • 01:03:23I think it's very important tool
  • 01:03:25in we should not shy from it
  • 01:03:28and utilized as much as we can.
  • 01:03:30The question becomes sort of whether
  • 01:03:33it's become sort of garbage in
  • 01:03:35garbage out kind of situation.
  • 01:03:37If we feed something that biased to this.
  • 01:03:40So the machine learning algorithms
  • 01:03:42algorithms we're going to get
  • 01:03:43something totally useless,
  • 01:03:45so we have to be very careful about
  • 01:03:47what we really feed these algorithms
  • 01:03:49and how we use these algorithms.
  • 01:03:52And I think we need to collaborate
  • 01:03:54with a lot of artificial intelligence,
  • 01:03:56machine learning people to to
  • 01:03:58get the best out of it.
  • 01:04:00But yes, I agree,
  • 01:04:01that's actually could be
  • 01:04:03absolutely indispensable tool.
  • 01:04:07So George question for you if I may.
  • 01:04:12Do you think that the data for complement
  • 01:04:16abnormalities in purpura fulminans has,
  • 01:04:19or will have any therapeutic implications?
  • 01:04:25Thank you Bob, really fascinating question.
  • 01:04:29Really hard question too,
  • 01:04:31especially because we worry about
  • 01:04:34performance often in the infectious setting.
  • 01:04:38One of the first patients that this
  • 01:04:41study was based off of was a patient
  • 01:04:44with Capnocytophaga bacteremia,
  • 01:04:45who ended up having purple foam and ends.
  • 01:04:48So I think that that's
  • 01:04:50that's that's that stuff.
  • 01:04:52At the same time we have utilized compliment
  • 01:04:54in vision therapy when necessary in patients,
  • 01:04:57for example, with catastrophic APS.
  • 01:04:59The difficulty, of course,
  • 01:05:01because when there's a common infection,
  • 01:05:03so I think that becomes a
  • 01:05:05discussion of risks and benefits,
  • 01:05:08including with our infectious
  • 01:05:09disease specialists.
  • 01:05:10Beyond of course,
  • 01:05:11the vaccination and the use
  • 01:05:12of amoxicillin or penicillin,
  • 01:05:13or something like that to be able
  • 01:05:15to cover the next serial organisms.
  • 01:05:18Thank you.
  • 01:05:20Question for Sabrina the convalescent plasma.
  • 01:05:22The most recent recovery is a
  • 01:05:24recovery truck from the UK.
  • 01:05:26Was a negative study,
  • 01:05:27but there's many positive ones,
  • 01:05:29including our own data that
  • 01:05:30you brilliantly presented.
  • 01:05:31Can you reconcile all of this
  • 01:05:33for us and how we should think
  • 01:05:36about using convalescent plasma
  • 01:05:37and COVID-19 patients?
  • 01:05:38Yeah, it thank
  • 01:05:39you all for that.
  • 01:05:40I think it's been challenging 'cause,
  • 01:05:42as you mentioned that the data has
  • 01:05:45been quite mixed and you know,
  • 01:05:47I think just recently we're getting
  • 01:05:49additional information from from
  • 01:05:50larger and more randomized trials.
  • 01:05:52The early trials that were randomized had
  • 01:05:55stopped early for a number of reasons,
  • 01:05:57one being that there were patients that
  • 01:06:00actually actually were SERO positive at
  • 01:06:02the time they got convalescent plasma,
  • 01:06:04and then there were issues with
  • 01:06:07recruitment in other studies.
  • 01:06:09I, I think we're going to have to
  • 01:06:11really kind of look through the
  • 01:06:13details of what antibody titer
  • 01:06:14was an neutralizing function in
  • 01:06:16the convalescent plasma with each
  • 01:06:18randomized trial as well as timing
  • 01:06:20and timing of receiving the plasma
  • 01:06:22and the severity of the disease,
  • 01:06:24because I think there has been
  • 01:06:26signal for patients who get high
  • 01:06:28titer plasma earlier in disease,
  • 01:06:30that there there is benefit there,
  • 01:06:32you know,
  • 01:06:33and I I don't know that there the
  • 01:06:35details of the recovery trial have
  • 01:06:37been released yet in terms of.
  • 01:06:39The timing of convalescent plasma and
  • 01:06:42how heterogeneous the convalescent
  • 01:06:45donor plasma was at that time.
  • 01:06:48Great, thank you.
  • 01:06:53Sabrina question about it
  • 01:06:54for two zaran if I could.
  • 01:06:57So you mentioned that there
  • 01:06:59were some adverse events,
  • 01:07:01notably thrombosis,
  • 01:07:02presumably due to the sustained
  • 01:07:05reduction in anti thrombin levels.
  • 01:07:07Do you know if those individuals
  • 01:07:10were treated with antithrombin
  • 01:07:11concentrates as a as
  • 01:07:13a in in
  • 01:07:14along with anticoagulation?
  • 01:07:15That's a great question but I
  • 01:07:17I don't, I don't.
  • 01:07:18I didn't find any evidence that or any
  • 01:07:20data on whether or not they were treated,
  • 01:07:23so I don't know the answer to that.
  • 01:07:26I do know when dosing was paused,
  • 01:07:28you know they looked at the group
  • 01:07:31and found that patients who had
  • 01:07:33an antithrombin level that was
  • 01:07:35less than 20% and had the higher
  • 01:07:37risk highest risk of thrombosis.
  • 01:07:39And those patients that were greater than
  • 01:07:4120% actually had no thrombotic events,
  • 01:07:43and so that's why the the trials
  • 01:07:44have preceded with the redosing,
  • 01:07:46which is initially going to start at
  • 01:07:48every other month and then kind of
  • 01:07:50increased back to where they had been
  • 01:07:51previously with the goal of monitoring
  • 01:07:53and antithrombin levels closely so
  • 01:07:55that they stay kind of between 15
  • 01:07:57and 35% is what what it's report is,
  • 01:07:59but I don't know about
  • 01:08:01the concentrates. OK, great thank
  • 01:08:02you, that's interesting, thank you.
  • 01:08:05Question for George. So you know,
  • 01:08:07in the abstract that you presented on
  • 01:08:10using CRISPR CAS to target BCL 11 A.
  • 01:08:13I was literally just Googling
  • 01:08:14what else detail 11/8 does.
  • 01:08:16And you know there are interesting
  • 01:08:18reports about it being involved
  • 01:08:20in metal pieces in B cell,
  • 01:08:22lymph, Genesis and so forth.
  • 01:08:24And so I'm just wondering if the
  • 01:08:26investigators talked about potential,
  • 01:08:28you know, humans,
  • 01:08:29allergic effects or immunological
  • 01:08:30effects and and the reason being that
  • 01:08:33you know there there is another set of.
  • 01:08:36Essentially,
  • 01:08:36gene editing treatments that
  • 01:08:37we can use in these disorders,
  • 01:08:39which is stem cell transplant.
  • 01:08:40So it just makes you wonder that
  • 01:08:42if there are these unknown effects
  • 01:08:43with these newer therapies,
  • 01:08:45then
  • 01:08:45why not just go for stem
  • 01:08:46cell transplant instead?
  • 01:08:48Yeah, thank you.
  • 01:08:50Yeah that's a great question.
  • 01:08:52Of course, stem cell transplant
  • 01:08:53also has adverse effects.
  • 01:08:55An events just like gene editing
  • 01:08:57does in the in the initial study,
  • 01:09:00so they've completed follow up in
  • 01:09:02at least two patients and they have
  • 01:09:05another I think 6 to 9 patients in
  • 01:09:08in each of the 111 and STD 121.
  • 01:09:10There is nothing that I saw.
  • 01:09:14Talking about specifically human,
  • 01:09:15logical and immunological effects,
  • 01:09:16notable things were infectious
  • 01:09:18from both of the first 2 pages,
  • 01:09:20but The thing is,
  • 01:09:21those other patients still need at
  • 01:09:23least another year of follow up before
  • 01:09:25we can start talking about this right.
  • 01:09:27And then beyond that long term too,
  • 01:09:30'cause it's not just a year or
  • 01:09:32two that people will live right.
  • 01:09:34Hopefully in that good state so.
  • 01:09:37Yeah, I I don't know more.
  • 01:09:43So I have a question.
  • 01:09:45Maybe for George about the
  • 01:09:47the anticoagulant. I'm sorry.
  • 01:09:48Not George Alex about the
  • 01:09:51anticoagulant inhibitor.
  • 01:09:52Where, where are we
  • 01:09:54in 2021 in terms of first
  • 01:09:57line therapy for reversal,
  • 01:09:58bleeding for, let's say, induce?
  • 01:10:00Buy a doac you think?
  • 01:10:04Well, so we do have access to both.
  • 01:10:11And extra an assistant
  • 01:10:13either season map I believe.
  • 01:10:16I personally have not used them,
  • 01:10:18but I know several people have used them.
  • 01:10:24And, um. I believe it's costly and
  • 01:10:29what's interesting is that the decision,
  • 01:10:33as far as I know,
  • 01:10:36decision is made still on the timing
  • 01:10:40of the last those event equivalent.
  • 01:10:44Furthermore, the both trial
  • 01:10:47trial so far both for.
  • 01:10:50Typical Tran and Doac and the factor
  • 01:10:55of 10 anticoagulants inhibitors.
  • 01:10:58Both those trials for the rest of the
  • 01:11:01reversal agents were without control arms,
  • 01:11:04so with efficacy is not really
  • 01:11:06well established still,
  • 01:11:07so I think there's there's one trial
  • 01:11:09right now is going on next I next
  • 01:11:12one is for the internal hemorrhage
  • 01:11:14reversal of anticoagulation.
  • 01:11:16People patient with intracranial hemorrhage,
  • 01:11:18which is which is randomized trial.
  • 01:11:20I think that's going to be informative.
  • 01:11:24But I I think it's data is not super.
  • 01:11:30Super strong about how to reverse
  • 01:11:33and whether to wait.
  • 01:11:35Just kind of, you know,
  • 01:11:37hours since the last administration.
  • 01:11:39So secret parent tag,
  • 01:11:40as far as I understand it's a
  • 01:11:43small market which is very easy
  • 01:11:45to fairly easy to make,
  • 01:11:47which probably will reduce the cost
  • 01:11:49an it's rapid and you don't need to
  • 01:11:53necessarily think about when was the last.
  • 01:11:56Dose I think that I would think that
  • 01:11:59that might be an advantage of using it.
  • 01:12:02Um?
  • 01:12:04But I think the world of antic
  • 01:12:07of reversal agents is an infancy.
  • 01:12:09Yeah,
  • 01:12:10I agree.
  • 01:12:10I think we're
  • 01:12:11waiting for some head to
  • 01:12:13head trials with some of
  • 01:12:15these drugs in the prothrombin complex
  • 01:12:17concentrates as well. Thank you.
  • 01:12:20Well, thank you so much everybody.
  • 01:12:22Thank you Doctor Pine, Victor,
  • 01:12:23Joshua and Doctor Browning,
  • 01:12:25and the excellent moderation by
  • 01:12:26Doctor Lee and Doctor Bonner.
  • 01:12:28We probably could go another hour
  • 01:12:29with all of these great questions.
  • 01:12:31Please remember you can reach out to all
  • 01:12:33of the speakers and the moderators by
  • 01:12:36email for any questions and there will
  • 01:12:38be a recording of this session for your
  • 01:12:40convenience will be posted next week.
  • 01:12:42Thank you so much.
  • 01:12:43Please remember next week.
  • 01:12:45next Friday is the last session which will
  • 01:12:47be focused on cell therapy and bone marrow.
  • 01:12:50A transplantation and that will
  • 01:12:52conclude our post. Ash highlights.
  • 01:12:54Thank you so much.