scholarly journals Risk Factors for Severe Form of COVID-19 after Allogeneic Hematopoietic Stem Cell Transplantation: A SFGM-TC Multicentre Cohort Study

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 34-34
Author(s):  
Alienor Xhaard ◽  
Constance Xhaard ◽  
Maud D'Aveni ◽  
Hélène Salvator ◽  
Marie-Laure Chabi-Charvillat ◽  
...  
Keyword(s):  
Risk Factors ◽  
Multivariate Analysis ◽  
Intensive Care ◽  
Platelet Count ◽  
Board Of Directors ◽  
Research Funding ◽  
Univariate Analysis ◽  
Immunosuppressive Treatment ◽  
Severe Form ◽  
Advisory Committees

COVID-19 greatly affected Europe between March and May 2020. Initial reports suggest cancer and haematological malignancies as risk factors for severity and mortality, but the role of allogeneic stem cell transplantation (alloHSCT) remains unclear. The Société Francophone de Greffe de Moelle et Thérapie Cellulaire conducted a multicentre retrospective study of alloHSCT recipients diagnosed with COVID-19. We described the COVID-19 disease characteristics in this population and examined risk factors for severity and mortality. Data were collected retrospectively from the patients' charts and the ProMISe database. Diagnosis was retained only if a reverse transcription polymerase chain reaction assay test from a nose swab was positive for SARS-CoV-2. Patients were classified as severe if they were transferred to an intensive care unit (ICU) due to COVID-19 or died of COVID-19, and non-severe in other cases. Comparisons of characteristics were performed using student's t-tests and Mann-Whitney U tests for normally and abnormally distributed data, respectively, for continuous variables and χ2 or Fisher's exact tests, when appropriate for categorical variables. Risk factors associated with a severe form of COVID-19 were assessed using both univariate and multivariate logistic regressions. All analyses were performed using SAS version 9.4.6 (SAS Institute Inc., Cary, NC, USA. A two-tailed significance level p<0.05 was used. Fifty-four patients were diagnosed, including 21 with severe forms (intensive care transfer and/or death). Haematological characteristics did not vary between patients with severe or non-severe forms of COVID-19. Patients with a severe form of COVID-19 were more likely to be diagnosed earlier after alloHSCT (0.78 vs. 2.1 years, p=0.01), to have comorbidities (80.9% vs. 54.5%, p=0.05) and to receive immunosuppressive treatment (81% vs. 51.5%, p=0.03). Severe COVID-19 patients were more likely to have symptoms at COVID-19 diagnosis (100% vs. 81.8%, p=0.04), especially pneumonia and symptoms other than respiratory or digestive (asthenia, neurological symptoms, myalgia, dysgeusia, skin lesions and arthralgia), and to experience co-infection during the course of the disease (52.4% vs. 21.2%, p= 0.001). At COVID-19 diagnosis, patients with a non-severe form were more likely to have a higher platelet count (226 G/L vs. 98 G/L, p= 0.01), while other biological characteristics did not vary between the two cohorts. In univariate analysis, shorter time from transplant to COVID-19 (before 211 days, p=0.01), pneumonia (OR 12.21 [95% CI 2.43 - 61.46], p=0.002), symptoms other than pulmonary or digestive (OR 1.21 [95% CI 1.02 - 11.16], p=0.04), immunosuppressive treatment (OR 5.97 [95% CI 0.75 - 47.42], p=0.03) , co-infection (OR 5.84 [95% CI 1.65-20.63], p=0.006) and comorbidity (OR 3.54 [95% CI 0.98-12.83], p=0.05) were associated with severe COVID-19. The only biological parameter associated with severity was a lower platelet count <71G/L (OR 28.00 [95% CI 2.07-379.25]), p=0.008. In multivariate analysis, pneumonia and other symptoms retained a significant association with severe COVID-19. Thirteen patients died of COVID-19: in univariate analysis, risk factors for death from COVID-19 were similar to the risk factors for severe COVID-19 (i.e. shorter time from alloHSCT, p=0.03; pneumonia, p=0.01; co-infection during the course of COVID-19, p<0.01, and lower platelet count, p<0.01). In multivariate analysis, none of the above mentioned factors remained significantly associated with death from COVID-19. As SARS-CoV-2 continues to spread internationally, given the lack of vaccine or treatment, alloHSCT recipients should maintain a high level of awareness to avoid contamination. Figure Disclosures Dalle: Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria; Bellicum: Consultancy, Honoraria; AbbVie Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Orchard: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; bluebird bio: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi-Genzyme: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Medac: Consultancy, Honoraria; Jazz Pharmaceuticals: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Rubio:MSD: Honoraria; Novartis: Honoraria; Neovii: Research Funding; Medac: Consultancy; Gilead: Honoraria.

scholarly journals Predictors of Remission in Adults with Immune Thrombocytopenia Treated with Romiplostim

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 735-735
Author(s):  
Adrian Newland ◽  
James B. Bussel ◽  
Robert Bird ◽  
Donald M. Arnold ◽  
Craig M. Kessler ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Platelet Count ◽  
Board Of Directors ◽  
Research Funding ◽  
Univariate Analysis ◽  
Newly Diagnosed ◽  
Employment Equity ◽  
Advisory Committees ◽  
Platelet Counts ◽  
Equity Ownership

Abstract Background: In adults with ITP, thrombopoietin receptor agonists (TPO-RA) are often assumed to be lifelong therapy. However, some patients achieve treatment-free remission (TFR) by maintaining hemostatic platelet counts after discontinuing TPO-RA, despite not replacing them with other ITP medications. Predictors of safely discontinuing romiplostim have varied across studies. In an analysis of 8 romiplostim studies, 27 patients achieved TFR; more remitters than nonremitters had ITP for <12 months but there were no unequivocal predictors of TFR (Bussel et. al. Hematology 2016;21:257). In a phase 2 study with forced romiplostim taper after 12 months, 24 (32%) of 75 patients achieved TFR; a higher platelet count in the first 2 months was associated with TFR (P<.05; Newland et. al. Br J Haematol 2016;172:262). Differences between remitters and nonremitters for baseline patient characteristics and time to first platelet response were not statistically significant. Analysis of romiplostim treatment at 2 centers found that 12 (28%) of 43 patients achieved TFR; splenectomized patients were more likely than nonsplenectomized patients to achieve TFR (P=.05; Marshall et. al. Haematologica 2016;101:e476). Aim: This multivariate analysis integrated data across multiple romiplostim studies in adults with ITP to explore predictors of TFR. Methods: Data were pooled for 911 romiplostim-treated patients in 13 ITP studies conducted from 2002 to 2014. All patients failed first-line treatments before study enrollment. Secondary thrombocytopenia patients were excluded. Romiplostim treatment was discontinued per dosing rules; 1 study included a forced taper after 1 year of romiplostim. Typically, the romiplostim dose was reduced for platelet counts >200×109/L and withheld, then reduced, for platelet counts >400×109/L. Concomitant ITP medication could be reduced for platelet counts >50×109/L. TFR was defined as a ≥6-month treatment-free period with platelet counts consistently ≥50×109/L. Univariate analysis with logistic regression examined potential predictors of TFR, including age, sex, ITP duration, prior splenectomy, platelet count (baseline and first 4 weeks), bleeding in the first 6 months, and baseline concurrent therapy. Multivariate analysis with logistic regression evaluated significant predictors from the univariate analysis. Results: TFR was achieved by 61 ITP study patients who received romiplostim. For remitters vs nonremitters, median baseline age was 53 years in both cohorts; 57% vs 61% were female; and 93% vs 88% were Caucasian (Table 1). Median ITP duration at study baseline was 0.5 years among remitters and 3.5 years among nonremitters. Prior splenectomy occurred in 21% of remitters and 36% of nonremitters. The number of prior ITP treatments was ≤3 for 74% of remitters and 39% of nonremitters. Baseline platelet count was <30×109/L for 80% of remitters and 78% of nonremitters. Median platelet counts on treatment during the romiplostim studies were often higher among remitters than nonremitters, despite increasing median doses of romiplostim over time for nonremitters (Figure). During the first 6 months on study, 30% of remitters and 43% of nonremitters had a bleeding event. Prior splenectomy and bleeding in the first 6 study months were significant predictors of lower odds of TFR in the univariate model but not in the multivariate model. In the multivariate model, shorter ITP duration predicted significantly higher odds of TFR, either <3 months (newly diagnosed) vs >12 months (chronic; odds ratio [OR], 4.275; P<.0001) or 3-12 months (persistent) vs chronic (OR, 2.171; P=.0408; Table 2). One limitation of this analysis was 19 of 61 patients entering TFR were from one study of newly diagnosed and persistent patients; the protocol included a forced romiplostim taper. Number of previous treatments was not included in the multivariate analysis. Conclusions: In this integrated analysis of 911 adult ITP patients across 13 studies, shorter ITP duration at baseline (≤12 months) was an independent predictor of TFR. Neither previous splenectomy (which predicted TFR in 1 study) nor bleeding were independent predictors of TFR in this much larger analysis. In total, these results imply that earlier use of romiplostim in adults with ITP could be associated with greater likelihood of achieving TFR. Future studies should also explore biologic variables as predictors of TFR. Disclosures Newland: Amgen Inc., Angle, Dova Pharmaceuticals, Argenx, Rigel, Shionogi, Novartis: Consultancy; Amgen Inc., GlaxoSmithKline, and Novartis: Research Funding; Novartis: Speakers Bureau. Bussel:Uptodate: Honoraria; Protalex: Consultancy; Momenta: Consultancy; Rigel: Consultancy, Research Funding; Prophylix: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Amgen Inc.: Consultancy, Research Funding. Bird:Amgen, Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Arnold:Novartis: Consultancy, Research Funding; UCB: Consultancy; UCB: Consultancy; Bristol Myers Squibb: Research Funding; Amgen: Consultancy, Research Funding; Bristol Myers Squibb: Research Funding; Amgen: Consultancy, Research Funding; Novartis: Consultancy, Research Funding. Kessler:Novo Nordisk: Honoraria, Research Funding; Biomarin: Research Funding; Genentech: Research Funding; Dimension Advisory boards: Membership on an entity's Board of Directors or advisory committees; DSMB: Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sangamo: Research Funding; Bayer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Octapharma: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Mayer:Novartis: Research Funding; Amgen: Research Funding. Janssens:Roche: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Ad board, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Speakers Bureau; Sanofi-Genzyme: Speakers Bureau; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Ad board, Speakers Bureau; Janssen: Consultancy, Speakers Bureau. Wang:Amgen: Employment, Equity Ownership. Eisen:Amgen Inc.: Employment, Equity Ownership.

Analysis of Transfusion Dependency Development and Disease Evolution in Patients with MDS with 5q- and without Transfusion Needs at Diagnosis

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3180-3180
Author(s):  
Felix Lopez-Cadenas ◽  
Blanca Xicoy ◽  
Silvia Rojas P ◽  
Kaivers Jennifer ◽  
Ulrich Germing ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Board Of Directors ◽  
Research Funding ◽  
Statistical Significance ◽  
Univariate Analysis ◽  
Rank Test ◽  
Advisory Committees ◽  
Disease Evolution ◽  
Free Survival

Abstract Introduction: Myelodysplastic syndrome with del5q (MDSdel5q) is the only cytogenetically defined MDS category recognized by WHO in 2001, 2008 and 2016 and is defined as a MDS with deletion on the long arm of chromosome 5 and less than 5% of blast cells in bone marrow. It is known that for patients with MDSdel5q and transfusion dependence (TD), Len (LEN) is the first choice of treatment. However, data regarding factors that may impact on the development of TD or disease evolution in patients diagnosed without TD are scanty. In our study a retrospective multicenter analysis on patients with low-int 1 MDSdel5q without TD at diagnosis has been performed in order to answer these questions. Patients and methods: We performed a multicenter collaborative research from the Spanish (RESMD) and German MDS registries. Data from 153 low risk MDSdel5q without TD at diagnosis were retrospectively analyzed. Statistical analysis: Data were summarized using median, range, and percentage. The event of TD was defined as the development of TD according to the IWG criteria (2006) and/or the beginning of a treatment which could modify disease course (LEN or ESA). Transfusion or treatment free survival (TFS), overall survival (OS) and leukemia free survival (LFS) were measured from diagnosis to TD or treatment, the first occurred (or to last follow up if none), last follow up or death from any cause and evolution to AML, respectively. TFS, OS and LFS were analyzed using the Kaplan Ð Meier method. The Log-rank test was used to compare variables and their impact on survival for univariate analysis.Multivariate analysis was performed using Cox's proportional hazards regression model. For comparison of Kaplan Meier curves the long rank test was used, with statistical significance with p<0.05. Statistical analysis was performed using SPSS 20.0. Results: Main clinical and biological characteristics were summarizing in table 1. From the total of 153 patients, finally 121 were evaluable. During the study 56 patients (46.2%) became in TD and 47 (38.8%) did not develop TD but received a modified disease course treatment. In this sense, most of the patients developed relevant anemia regarding those data (103 out of 121 patients, 85%). Median time to TD or treatment (TFS) was 20 months (1-132) from diagnosis. Secondary MDS (p=0.02), thrombocytosis (>350 109/L) (p=0.007), and neutropenia (<1.5 x 109/L) (p=0.02) were associated with poorer TFS. Thrombocytosis and neutropenia retained statistical significance in the multivariate analysis (Table 2). Among the TD patients (N=56), 42 (75%) received treatment: 28 LEN, 7 ESA and 7 other treatments. Among patients that did not develop TD (N=65), 47 (72.3%) received treatment before TD development: 16 LEN, 28 ESA and 3 other treatments. In order to know the evolution of these patients, survival analysis was performed. Median follow up was 58.9 months among alive patients and 57% of them were alive at the time of the last follow up. Estimated OS at 2 and 5 years was 94% and 64%. Regarding Univariate analysis, platelet <100 x 109/L (p=0.03), patients older than 71 years (p=0.001), and progression into AML (p=0.02) were associated with poorer OS. On the contrary, patients who had received treatment showed better OS (p<0.0001). This benefit is more evident among patients receiving LEN, median OS for patients receiving LEN, ESA/other treatments and not treated group was 137 months (CI 95%: 59,4 -215,5), 99,3 months (CI 95%: 46,6 -152) and 57,9 months (CI 95%: 38,2 -77,6), respectively, p<0.0001 (Figure 1). In the multivariate analysis, patients older than 71 years and LEN treatment retained the statistical significant impact on OS (Table 2). Twenty-eight patients (23%) progressed into AML, median time to AML was 35 months (5-122). When univariate analysis was performed, variables with adverse impact on LFS were platelets <100 x 109/L(p=0.019), neutropenia < 0.8 x 109/L (p=0.026), an additional cytogenetic abnormality (p=0.013) while treatment with LEN had a favorable impact (p=0.035). In the multivariate analysis only the presence of additional cytogenetic abnormalities retained statistical significance (Table 2). CONCLUSIONS: Most of the patients with low risk del(5q) MDS and no TD at diagnosis developed symptomatic anemia very early after diagnosis (20 months). Carefully monitoring should be stablished in order to detect this time point. Outcome of this subset of patients could improve after target therapy. Figure 1 Figure 1. Disclosures Del Cañizo: Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; janssen: Research Funding; Astex: Membership on an entity's Board of Directors or advisory committees. Díez Campelo:celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Research Funding; Astex: Membership on an entity's Board of Directors or advisory committees.

scholarly journals Validation of the International Prognostic Score for Thrombosis in Essential Thrombocythemia (IPSET) in Patients with Pre-Fibrotic Primary Myelofibrosis

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1657-1657
Author(s):  
Paola Guglielmelli ◽  
Alessandra Carobbio ◽  
Elisa Rumi ◽  
Valerio De Stefano ◽  
Lara Mannelli ◽  
...  
Keyword(s):  
Risk Factors ◽  
Board Of Directors ◽  
Incidence Rate ◽  
Research Funding ◽  
Risk Model ◽  
Univariate Analysis ◽  
Thrombotic Event ◽  
Advisory Committees ◽  
Thrombotic Risk

Introduction. Prefibrotic myelofibrosis (pre-PMF) is a unique entity in the 2016 WHO classification of myeloproliferative neoplasms with distinct clinical phenotype and outcome [Guglielmelli P, Blood 2017]. Compared to essential thrombocythemia (ET), pre-PMF is characterized by more pronounced disease manifestations, adverse mutation profile and worse outcome. Previous studies [Rumi E, Oncotarget 2017] showed that patients (pts) with pre-PMF present a risk of vascular events similar to ET. However, no studies performed a comprehensive assessment of risk factors for thrombosis in pre-PMF. The current study aimed to identify risk factors for thrombosis and bleeding in a large series of pre-PMF pts and explore the effectiveness of contemporary prognostic models developed specifically for ET. Patients and Methods. The study included 382 pre-PMF pts, diagnosed by 2016 WHO criteria, referred by 4 Italian Centers. Previously published methods were used to genotype JAK2, MPL, CALR, EZH2, ASXL1, IDH1/2 and SRSF2; a high molecular risk (HMR) category was defined according to Vannucchi A, [Leukemia 2013]. Thrombosis‐free survival (TFS) was determined from diagnosis to the first thrombotic event. Pts were grouped according to the conventional risk stratification system [Barbui T, JCO 2011], IPSET‐thrombosis [Barbui T, Blood 2012] and revised IPSET‐thrombosis [Barbui T, BCJ 2015]. Cox-regression model was used for univariate analysis. Harrell's concordance (C) statistic was calculated to measure the incremental accuracy of multivariable models sequentially adjusted for new predictors of thrombotic risk. A P <0.05 was considered statistically significant. Results. At diagnosis, 65 pts (17%) experienced major thrombotic events which included 35 (9%) arterial and 31 (8%) venous thromboses. With a median follow-up of 6.9 y (range 0.08-32.6), 56 (15%) pts developed an arterial or venous thrombotic event, with a total incidence rate of 1.99% pts/year (pt-y); 30 (8%) were arterial and 28 (7%) venous events with incidence rate of 1.00% pt-y and 0.95% pt-y, respectively. Splanchnic vein thrombosis (SVT) represented the most frequent venous events before/at diagnosis (26%). During the follow-up, 16% and 8% of pts experienced myelofibrotic or leukemic progression, and 105 (27%) died, with incidence rate of 2.05% pt-y, 0.95% pt-y and 3.41% pt-y, respectively. In univariate analysis, factors significant for arterial thrombosis after diagnosis were age >65y (HR 2.88; P=0.005), WBC>10x109/L (HR 2.43; P=0.026), presence of >1 generic CV risk factor (HR 2.16; P=0.047), JAK2V617F (HR 3.35; P=0.027) and HMR status (HR 13.1; P=0.027). Conversely, only history of previous thrombosis (HR 3.06; P=0.005) and previous venous event (HR 5.53; P<0.0001) retained significance for predicting venous thrombosis. Pts were effectively stratified according to IPSET and conventional risk model. The risk of thrombosis in IPSET low-, intermediate-, and high-risk categories was 0.67%, 2.05% and 2.95% pt-y, and 1.47% pt-y and 2.71% pt-y in 2-tiered thrombotic risk model. (Figure 1); in revised-IPSET, 0.54%, 2.23%, 2.44% and 2.69 %pt-y in the very low, low, intermediate- and high-risk category. When WBC>10x109/L or HMR variables were incorporated into IPSET model, the C-statistic increased significantly for the prediction of arterial events: from baseline value of 0.68 to 0.74 adding WBC and 0.91 HMR status. The proportion of pts who experienced major bleeding was 3% prior/at diagnosis,and 7% during follow-up, with total incidence rate of 0.94% pt-y. In univariate analysis, predictors for major bleeding during follow-up were age >75y (HR 3.34; P=0.011), WBC>13x109/L (HR 2.33; P=0.035), presence of >1 generic CV risk factor (HR 2.41; P=0.035), particularly hypertension (HR 2.63; P=0.016) and grade-1 fibrosis (HR 2.28; P=0.05). High platelet count and treatment, including antiplatelet and anticoagulant drugs, did not reach statistical significance. Conclusions. Overall, this study identified independent risk factors for major thrombosis and bleeding in pre-PMF. Of interest, we report that HMR status predicted for arterial thrombosis during the follow-up. Pre-PMF pts showed remarkably high rate of venous thrombosis, mostly represented by SVT. The 3-tiered IPSET prognostic model for thrombosis reliably predicted occurrence of thrombotic events in pre-PMF and should be considered as standard reference. Figure 1 Disclosures Rumi: novartis: Honoraria, Research Funding. Thiele:Shire: Research Funding; Incyte: Consultancy, Honoraria, Other: Remuneration, Research Funding; Sanofi: Consultancy, Honoraria, Other: Remuneration; Novartis: Consultancy, Honoraria, Other: Remuneration, Research Funding; AOP Orphan Pharmaceuticals: Consultancy, Research Funding. Vannucchi:Incyte: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Italfarmaco: Membership on an entity's Board of Directors or advisory committees; CTI BioPharma: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.

scholarly journals The Interaction between IPSS Score and JAK2 Mutation Identifies Patients at Different Vascular Risk in Primary Myelofibrosis

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 236-236
Author(s):  
Tiziano Barbui ◽  
Arianna Ghirardi ◽  
Alessandra Carobbio ◽  
Arianna Masciulli ◽  
Greta Carioli ◽  
...  
Keyword(s):  
Risk Factors ◽  
Multivariate Analysis ◽  
Board Of Directors ◽  
Research Funding ◽  
Primary Myelofibrosis ◽  
Vascular Risk ◽  
Advisory Committees ◽  
Jak2 Mutation ◽  
Thrombosis Rate

Abstract BACKGROUND The rate of major arterial and venous thrombosis in primary myelofibrosis (PMF) and post-ET (PET) and post-PV (PPV) secondary myelofibrosis has been evaluated in a limited number of studies. In the present paper we describe the clinical epidemiology of thrombosis in a large series of patients with overt PMF and PPV/PET MF looking at the rate and risk factors. Moreover, we report findings on thrombosis rate in two cohorts of patients treated with Hydroxyurea (HU) or Ruxolitinib (Ruxo). METHODS Patients were registered in the European Registry for Myeloproliferative Neoplasms (ERNEST). This project, promoted by the European LeukemiaNet, is coordinated by FROM - Foundation for Research, Papa Giovanni XXIII Hospital, Bergamo (Italy) and supported by Novartis through a research collaboration . Patients were diagnosed in 6 Centers from Italy, Spain and Sweden, between Jan, 2001 and Dec, 2012, with the required follow-up information. Patients (n= 1010) with PMF (n=584, 59%), PET-MF (n=207, 20%) and PPV-MF (n=219, 21%) were evaluated for incident thrombosis as primary endpoint. Considering death as a competitive event, uni-and multivariate analyses were performed by applying Fine & Gray competing-risk regression models. RESULTS After a median follow-up of 3.8 years (IQR: 1.8-7.1) from diagnosis, 108 thromboses (10.7%) occurred, for an overall incidence rate of 2.0% pts-yr (95% CI: 1.7-2.5). Arterial thromboses were found in 50 patients (46.3%) including cerebral (n=21, 19.4%), myocardial infarction (n=13, 12.0%) and peripheral events (n=9, 8.3%). Venous thromboses were 58 (53.7%), of which 25 (23.0%) were DVT ± PE and 11 (10.2%) were splanchnic. Thrombosis rate was 1.91, 1.60 and 2.79% pts-yr in PMF, PET-MF and PPV-MF, respectively. In univariate analysis, factors significantly associated with an increased thrombotic risk in PMF were age (p=0.013) and the presence of the JAK2 mutation (p=0.003); in addition, a significant higher proportion of PMF patients at low and intermediate-1 vs intermediate-2 or high risk IPSS score, had thrombosis during the follow-up (p=0.008). In multivariate analysis, only JAK2 mutation retained statistical significance (SHR=3.12, 95% CI: 1.40-6.94, p=0.005). Conversely, neither in univariate nor in multivariable analysis, significant risk factors were not found.To investigate the possible interaction of IPSS score and JAK2 mutation we created a model whose results are presented in Fig. 1A: the cumulative incidence function (CIF) of thrombosis was significantly lower in patients with JAK2 wild-type and intermediate-2 or high IPSS score (CIF: 4% projected at 10 years; SHR=1 [reference category]), while patients at the highest risk for thrombosis harbored JAK2 mutation and were categorized at low or intermediate-1 by IPSS score (CIF: 20% projected at 10 years, SHR=7.13, p=0.008). Of note, thrombosis had a significant impact on mortality. After adjusting for sex, age, year of diagnosis, type of MF and IPPS, HR was 1.51, (95% CI. 1.15-1.98, p=0.003).The influence of drug exposure to incident thrombosis was investigated in two cohorts of 559 consecutive patients exposed to HU (n=470) or to Ruxo (n=89), median treatment 2.6 and 3.0 years, respectively. HU- compared to Ruxo-treated patients were older (median age 67 vs. 63 years, p=0.001), more frequently triple negatives (12% vs. 2%, p=0.036), less splenomegalic (spleen length &gt;10 cm: 30% vs. 88%, p &lt;.001) and less symptomatic (49% vs. 79%, p=0.031). Of note, median time from MF diagnosis to therapy start in Ruxo group was 4 years, whereas patients started HU at MF diagnosis. In 56 of 89 Ruxo-treated patients (62.9%), the drug was given after a prior HU therapy. The thrombosis rate from the time of initiation of therapy was 2.40% pts-yr (95% CI 1.78-3.24) under HU and 1.28% pts-yr (95% CI 0.48-3.41) under Ruxo (CIF curves in Fig. 1B). In multivariate analysis corrected for MF type, DIPPS at first drug administration, JAK2 mutation and time from MF diagnosis, exposure to Ruxo showed a non-significant trend towards a protection of approximately 70% compared to HU (SHR=0.33, 95% CI: 0.08-1.32, p=0.117). CONCLUSION IPSS score, in addition to the survival risk assessment, may be useful, if associated with the JAK2 mutation, to recognize patients at vascular risk and to suggest appropriate anti-thrombotic prophylaxis. The trend towards a benefit of Ruxo, compared to HU, warrants a study in larger case series. Figure 1 Figure 1. Disclosures Barbui: AOP Orphan: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding. Passamonti: Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; AbbVie: Speakers Bureau. Vannucchi: Incyte: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Other: Lectures; Celgene: Membership on an entity's Board of Directors or advisory committees, Other: Lectures; AbbVie: Membership on an entity's Board of Directors or advisory committees, Other: Lectures.

scholarly journals Allogeneic Hematopoietic Cell Transplantation (alloHCT) for Adult Patients with t(4;11)(q21;q23) KMT2A/AFF1 (MLL/AF4) B-Acute Lymphoblastic Leukemia in First Complete Remission (CR1): Favorable Outcome of Patients with Negative Minimal Residual Disease (MRD) Status at Transplant. a Report from the Acute Leukemia Working Party of the European Society for Blood and Bone Marrow Transplantation (ALWP-EBMT)

Blood ◽  
2017 ◽  
Vol 130 (Suppl_1) ◽  
pp. 669-669
Author(s):  
Jordi Esteve ◽  
Myriam Labopin ◽  
Tomasz Czerw ◽  
Depei Wu ◽  
Liisa Volin ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Board Of Directors ◽  
Research Funding ◽  
Prognostic Value ◽  
Chronic Gvhd ◽  
Univariate Analysis ◽  
Adult Patients ◽  
Unrelated Donor ◽  
Strong Impact ◽  
Advisory Committees

Abstract Introduction: B-ALL with t(4;11)(q21;q23) (t(4;11) B-ALL) is a well characterized adult B-ALL subtype associated with an unfavorable prognosis, mainly due to a high relapse risk, which is followed by a poor outcome. In order to prevent relapse during frontline treatment, alloHCT in CR1 is recommended by many cooperative groups, although the specific outcome and prognostic factors related to this procedure have been scarcely analyzed. Patients and Methods: We searched in the ALWP-EBMT database all adult patients (pts) (i.e., ≥18 year-old) with B-ALL reported to harbor a t(4;11) translocation who underwent an alloHCT in CR1 from a matched related or unrelated (10/10 or 9/10) donor during the 2000-2016 period, and analyzed their outcome. The prognostic value of the MRD status at the time of transplant, as reported by centers, was specifically addressed. In addition, a comparative analysis with analogous pts with normal karyotype B-ALL (NK B-ALL) was performed, adjusting for main significant variables including the pre-transplant MRD status. Results: Overall, we identified 151 pts with t(4;11) B-ALL and 567 with NK B-ALL. Compared to NK B-ALL, pts with t(4;11) B-ALL were older (median age, 38.1 vs. 33.8, p=0.028), presented with a higher WBC count (114 vs. 7.9x109/L¸ p&lt;.001), and were allografted within a shorter period from diagnosis (5.3 vs. 5.8 months, p=0.001). In the t(4;11) B-ALL cohort, 103 transplants were performed from an unrelated donor (68%), conditioning was myeloablative (MAC) in most cases (86%), and in 114 of them (88%) included TBI. Eighty pts (53%) received in vivo T-cell depletion (TCD) (Table 1). With a median follow-up of 62 months, in pts with t(4;11) B-ALL, the 2-year relapse incidence (RI), NRM, LFS, OS, and graft- and relapse-free survival (GRFS) were 29.8% (22-38), 19.5% (14-27), 50.7% (42-59), 59.8% (52-68), and 34.6% (27-43), respectively. Acute grade II-IV GvHD and 2-year chronic GvHD were 34.7% (27-42) and 38.5% (30-47), respectively. Outcome after relapse was poor, with a 2-year OS of only 14.9% (4-26). MRD at the time of alloHCT was undetectable in 62 (69%) of the 90 pts with available information, and showed a strong favorable impact on outcome, with a lower RI (21 vs. 45% at 2 years, p=0.003) and higher LFS (67 vs. 27%, p=0.00004), OS (81 vs. 26%, p=0.000005)and GRFS (47 vs. 24%, p=0.01) compared to pts with detectable MRD at transplant. The prognostic value of the pre-transplant MRD status was confirmed in a multivariate analysis (performed among patients with known MRD status), in terms of RI (HR=0.23, CI: 0.09-0.55; p=0.0011), NRM (HR=0.16, 0.05-0.52; p=0.0023), LFS (HR=0.20, 0.10-0.40; p=10-5), OS (HR=0.14, 0.07-0.30; p&lt;10-5), and GRFS (HR=0.38,0.2-0.69; p=0.001). Patient age and year of transplant also showed independent prognostic value for NRM, LFS, OS, and GRFS. Comparison between t(4;11) B-ALL and NK B-ALL showed a strong impact of the MRD status. In univariate analysis, outcome after alloHCT in both t(4;11) B-ALL and NK B-ALL groups was similar in pts without detectable MRD at transplant, with comparable RI (21 vs. 26%, p=0.35), NRM (12 vs. 18.5%, p=0.37), LFS (67 vs. 56%, p=0.14), and OS (81.4 vs. 69%, p=0.069). In contrast, among pts with detectable MRD at alloHCT, LFS and OS were superior in NK B-ALL compared to t(4;11) B-ALL pts (50 vs. 27%, p=0.02; and 62 vs.26%, p=0.01, respectively). In multivariate analysis, and considering MRD-negative NK B-ALL as the reference category, t(4;11) B-ALL pts allografted without detectable MRD showed a better LFS (HR=0.624,0.335-0.978; p=0.04) and OS (HR=0.523,0.296-0.925; p=0.02). On the contrary, MRD-positive t(4;11) pts showed a worse outcome compared to the remaining MRD-stratified subgroups, with higher RI (HR=3.28,1.63-6.60; p=.0009), and shorter LFS (HR=2.42,1.65-4.93; p=0.00017) and OS (HR=3.51,2-6.18; p=1x10-5) (Figure 1). Conclusions: Outcome of adult pts with t(4;11) B-ALL who received an alloHCT in CR1 is favorable, especially in those with a negative MRD status pre-alloHCT. These results, when compared to previously reported results in non-allografted pts, strongly suggest a neat beneficial effect of alloHCT for this adult B-ALL subset. Nonetheless, further studies should evaluate the magnitude of this benefit in comparison with contemporary non-allograft post-CR strategies, as well as the optimal management for pts failing to achieve a MRD-negative status. Disclosures Socié: Alexion Pharmaceuticals, Inc.: Consultancy. Schmid: Celgene: Research Funding, Speakers Bureau; MoilMed: Membership on an entity's Board of Directors or advisory committees; Novartis: Research Funding, Speakers Bureau; Jazz: Membership on an entity's Board of Directors or advisory committees; Incyte: Research Funding, Speakers Bureau. Mohty: Sanofi: Honoraria, Speakers Bureau.

scholarly journals The Effect of Age and CD34+ Stem Cell Dose on Autologous Hematopoietic Stem Cell Transplantation Outcomes in Multiple Myeloma - Single Institution Experience

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2028-2028
Author(s):  
Madeline Skousen ◽  
Sarah A. Holstein ◽  
Matthew A. Lunning ◽  
Elizabeth R. Lyden ◽  
Gilmore Sheree ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Stem Cell ◽  
Board Of Directors ◽  
Research Funding ◽  
Univariate Analysis ◽  
Single Institution ◽  
Advisory Committees ◽  
Hematopoietic Stem ◽  
Cd34 Cells ◽  
Neutrophil Engraftment

Autologous hematopoietic stem cell transplantation (AHSCT) after melphalan (Mel) conditioning has been shown to improve outcomes in patients (pts) with multiple myeloma (MM), including complete response (CR), progression free (PFS) and overall survival (OS). Successful stem cell rescue with adequate number of CD34+ stem cells is thought to be important in achieving these goals post-AHSCT, including reduced platelet (plt) transfusion need, neutrophil engraftment time and previously noted effect on lower cumulative incidence of relapse (CIR). However, there has been some discordance regarding the optimal CD34+ transplantation dose and the effects on outcomes. A retrospective analysis of 508 consecutive MM patients (pts) who underwent AHSCT between 1994-2017 at a single institution was performed to determine the relationship between OS and PFS/CIR at two different CD34+ stem cell infusion dose cutoffs (< 2.5 vs ≥ 2.5 x 106 (mill) CD34+ cells/kg, or < 5.0 vs ≥ 5.0 mill CD34+), an age cutoff (< 65 vs ≥ 65) and a Mel conditioning dose cutoff of 140 mg/m2 vs 200 mg/m2. Multivariate analysis considered high risk MM, defined as either having one of the high risk fluorescent in situ hybridization probes [del17p, t(4;14), t(14;16), t(14;20), gain1q, del1p] or having a complex karyotype (standard risk MM did not contain either), international staging system (ISS) stages I, II and III, and immunomodulatory drug (IMiD)-containing induction (yes/no). Fisher's exact test and the Mann-Whitney test were used to look at the association of CD34+ cutoff groups and patient characteristics. OS was defined as the time from infusion to death from any cause, and was determined by the Kaplan-Meier method; comparisons of survival curves was done using the log-rank test. The CIR was determined using cumulative incidence methods that considered death as a competing event. Gray's test was used to compare CIR curves. Linear regression and Cox regression were used for multivariable analysis. P<0.05 was considered statistically significant. Overall, CD34+ dichotomized at 2.5 or 5.0 mill was not associated with PFS (p=0.25, HR 1.19, CI 0.88-1.62; p=0.99, HR 1.00, CI 0.74-1.35) or OS (p=0.50, HR 1.11, CI 0.82-1.51; p=0.27, HR 0.85, CI 0.63-1.41). When analyzing OS by either age (< 65 vs ≥ 65), Mel conditioning (140 mg/m2 vs 200 mg/m2) or CD34+ infusion cutoffs (< 2.5 vs ≥ 2.5, or < 5.0 vs ≥ 5.0 mill), there was no statistically significant difference. On univariate analysis, the CIR was not statistically different for Mel 140 mg/m2 vs 200 mg/m2 patients at 2.5 mill CD34+ cutoff (p=0.62), but was approaching significance at 5.0 mill cutoff (p=0.054). On univariate analysis, the CIR was not statistically different for patients aged < 65 vs ≥ 65 at 2.5 mill CD34+ cutoff (p=0.92), or 5.0 mill cutoff (p=0.11). On univariate analysis, the CIR was statistically different for CD34+ at 5.0 mill cutoff for patients age ≥ 65 (p=0.01, Figure 1A) and for CD34+ at 5.0 mill cutoff for pts who received Mel140 mg/m2 conditioning (p=0.01, Figure 1B). However, after adjusting for the ISS stage and MM risk in both groups, no difference in CIR was noted (respectively p=0.095, HR: 2.00; 95% CI 0.88, 4.53; p=0.21, HR: 1.77; 95% CI 0.73, 4.29). In a subset analysis for pts ≥ 65 years at the CD34+ 5.0 mill cutoff, mean time in days to neutrophil engraftment on multivariate analysis was shorter for pts who received CD34+ ≥ 5.0 mill compared to < 5.0 mill after adjusting for Mel dose (140 mg/m2 vs 200 mg/m2), ISS stage (I,II vs III), MM risk (standard vs high) and IMiD induction (yes vs no): 11.1 days vs. 12.1 days (p<0.0001). Mean time in days to last platelet infusion on multivariate analysis was also shorter after adjusting for the Mel dose, ISS stage, MM risk and IMiD induction: 7.3 days vs. 10.6 days (p=0.0083). After adjusting for the same variables in multivariate analysis, depth of response at day+100 (CR vs partial response) was not statistically different. Hospitalization duration in days was not significantly affected by either Mel dosing or CD34+ dose. Our single institution experience suggests that there is no significant association between CD34+ stem cell infusion dose at either 2.5 mill or 5.0 mill cutoffs and post-AHSCT outcomes with either Mel dose once controlled for relevant disease specific factors. However, our results do suggest that in pts ≥ 65 years of age, infusing ≥ 5.0 mill CD34+ cells shortens time to neutrophil engraftment and reduces plt transfusion requirements during AHSCT. Disclosures Holstein: Celgene: Consultancy; Takeda: Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; Sorrento: Consultancy; GSK: Consultancy; Genentech: Membership on an entity's Board of Directors or advisory committees. Lunning:Curis: Research Funding; Janssen Scientific Affairs, LLC: Consultancy, Research Funding; Juno Therapeutics: Consultancy, Research Funding; MiRagen: Research Funding; TG Therapeutics: Consultancy, Research Funding; AbbVie: Consultancy; Bayer: Consultancy; DAVA: Consultancy; Gilead Sciences, Inc.: Consultancy; Kite: Consultancy; Novartis: Consultancy; OncLive: Consultancy; Portola: Consultancy; Seattle Genetics: Consultancy; Spectrum: Consultancy; VANIUM: Consultancy; Verastem: Consultancy. Armitage:Oncology Analytics: Consultancy; Partner Therapeutics: Consultancy; Samus Therapeutics: Consultancy; Ascentage: Consultancy; Union Pacific: Consultancy; Tesaro bio: Membership on an entity's Board of Directors or advisory committees. Al-Kadhimi:Seattle Genetics: Other: Stocks; Celldex Biotech: Other: Stocks. Vose:Celgene Corporation: Research Funding; Incyte Corporation: Research Funding; Kite Pharma: Honoraria, Other: Grants, Research Funding; Novartis: Research Funding; Seattle Genetics: Research Funding; AbbVie: Consultancy, Honoraria; Epizyme: Consultancy, Honoraria; Legend Pharmaceuticals: Honoraria; Acerta Pharma: Honoraria, Other: Grants, Research Funding; Bristol-Meyers Squibb Company: Research Funding. Baljevic:Karyopharm: Other: Internal Review Committee participant; Cardinal Health Specialty Solutions: Consultancy; Takeda Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees.

Clinicopathological Features and Outcomes of Progression for Chronic Lymphocytic Leukaemia (CLL) Treated with the BCL2 Inhibitor Venetoclax

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3223-3223 ◽  
Author(s):  
Thomas E Lew ◽  
Mary Ann Anderson ◽  
Constantine S. Tam ◽  
David C.S. Huang ◽  
Surender Juneja ◽  
...  
Keyword(s):  
Risk Factors ◽  
Medical Research ◽  
Board Of Directors ◽  
Research Funding ◽  
Univariate Analysis ◽  
Complex Karyotype ◽  
Advisory Committees ◽  
Risk Of Progression ◽  
Eliza Hall Institute ◽  
Hall Institute

Abstract Background: The natural history of CLL/small lymphocytic lymphoma (SLL) treated with chemo-immunotherapy included enrichment for del(17p) with each progression and evolution to Richter transformation (RT) in some patients (pts) with refractory disease.In early phase clinical trials, the BCL2 inhibitor venetoclax achieves objective responses in ~80% of pts with heavily pre-treated relapsed/refractory CLL/SLL, irrespective of disease bulk, chemo-refractoriness or del(17p)/TP53 aberrations. However, the nature of progressions during ongoing therapy has not yet been well characterised. We report the clinicopathological features, outcomes and dominant predictors of progression on venetoclax for CLL/SLL. Methods: We retrospectively reviewed data from 67 pts treated with venetoclax for relapsed/refractory CLL/SLL at two institutions in Australia between June 2011 and March 2016. Pts were enrolled in 1 of 3 ongoing trials: Phase 1 venetoclax monotherapy (NCT01328626), Phase 1b venetoclax + rituximab (NCT01682616), or Phase 2 venetoclax monotherapy in del(17p) CLL (NCT01889186). Pts received 150Ð1200mg/day of venetoclax ± 6 doses of rituximab (n=16).Forty-nine received the approved dose of 400mg/day or higher.Pts were investigated for RT at progression with PET scans and biopsies. There was no mandated systematic screening for RT at trial entry. Univariate Kaplan Meier, Cox proportional hazards multivariate and Classification and Regression Tree (CART) analyses were used to identify risk factors for progression. Results: Median age was 68 (range 20Ð87) years; pts had received a median 3 (1Ð12) prior therapies. CLL/SLL was fludarabine refractory (F-refr; defined as no response or progression within 6 months) in 51%. With median follow up of 23 (2Ð46) months, 25 pts (37%) had progressed; 17 (68%) with RT (14 DLBCL, 3 Hodgkin-like) and 8 (32%) with CLL/SLL. Median time-to-progression (TTP) was 8 (1Ð23) months for RT and 23 (7Ð38) months for CLL/SLL (p = 0.0033). PET scans were performed in 12/17 cases of RT. High FDG-avidity disease (SUVmax > 10) was multifocal in 9 cases (median 4 sites (2 Ð 10)),unifocal in 2 and negative in 1pt with histologically confirmed DLBCL RT. All 13 cases of DLBCL RT tested for BCL2 protein expression by IHC were positive. TTP was closely related to best iwCLL response (median: not reached, 25 and 6 months for CR, PR and SD, respectively; p<0.0001). Univariate analysis examined putative factors associated with modulation of risk of progression in pts treated at _400mg/day (n=49) including: age, number of prior therapies, disease bulk (>5 cm), presence of del(17p), presence of del(17p) and/or TP53 mutation, del(11q), and concurrent rituximab therapy. None were statistically significant (p>0.1). F-refr disease and complex karyotype (defined as ³3 cytogenetic abnormalities on conventional karyotype) were associated with risk of progression by univariate analysis (HR 6.1, p=0.0052;and HR 6.6, p=0.0045, respectively; see Figure). A limited power multivariate and CART analysis supported independence between these variables. Median overall survival after progression was 11.4 months (32% at 2-years). Salvage chemotherapy was used in 16/17 pts with RT, followed byautograftsor allografts in 2 cases each. Seven pts with RT remain alive (response to salvage: 5 CR, 2 PR), including all 3 pts with Hodgkin-like RT (22, 23 and 43 months post progression). Three pts with DLBCL RT who responded to salvage (2 CR, 1 PR) subsequently progressed with CLL/SLL and remain alive on BTK inhibitors (BTKIs) at 30, 34 and 38 months. Six of 8 pts with progressive CLL/SLL onvenetoclaxwere treated withibrutinib(5 PR, 1 SD) and 3 remain alive on therapy at last follow up (6, 6 and 9 months). Conclusions: F-refractoriness and complex karyotype are the dominant risk factors for progression onvenetoclax, which may presentearly as RT, as might be expected in heavily pretreated patients with these risk factors, or later as CLL/SLL, with PET features being discriminatory. A minority of pts with RT progression can attain durable disease control with multimodality therapy and progressive CLL/SLL can respond to BTKIs, even if after RT. Patients with CLL/SLL that isF-refr or has complex karyotype should have clinically occult RTexcluded before treatment with venetoclax monotherapy. Disclosures Anderson: Walter and Eliza Hall Institute of Medical Research: Other: Walter and Eliza Hall Institute of Medical Research receives milestone payments for the development of venetoclax. Tam:janssen: Honoraria, Research Funding; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees. Huang:Walter and Eliza Hall Institute of Medical Research: Other: Walter and Eliza Hall Institute of Medical Research receives milestone payments for the development of venetoclax. Seymour:Genentech: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie Inc.: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees. Roberts:Walter and Eliza Hall Institute of Medical Research: Employment.

Prognostic Factors for Developing Thrombosis in Polycytemia Vera: A Retrospective Analysis of 331 Patients with Long-Term Follow-up Highlights the Importance of White Blood Cells Levels

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 48-49
Author(s):  
Samantha Ferrari ◽  
Chiara Pagani ◽  
Mariella D'Adda ◽  
Nicola Bianchetti ◽  
Annamaria Pelizzari ◽  
...  
Keyword(s):  
Risk Factors ◽  
Multivariate Analysis ◽  
High Risk ◽  
Board Of Directors ◽  
Advisory Board ◽  
Advisory Committees ◽  
Risk Status ◽  
History Of ◽  
Wbc Count

Polycythemia Vera (PV) is a chronic myeloproliferative neoplasm characterized by erythrocytosis, constitutively active mutations in JAK2 and an increased susceptibility to thrombotic events (TEs). There is still controversy about the role of increased hematocrit and of other variables including elevated white blood cell count as risk factors for the occurrence of TEs. A better definition of the relative prognostic importance of hematologic parameters would help us to better tailor the therapeutic approach to PV patients (pts), which is currently mainly based on the use of acetilsalycilic acid (ASA), venesection and hydroxyurea . The aim of our study was to analyze if any clinical or laboratory variables were significantly associated to the occurrence of TEs both at PV diagnosis and during the course of the disease in a large series of PV pts uniformly followed at a single Center over a period of 29.5 years from January 1986 to June 2019. Clinical and laboratory data were obtained from the time of diagnosis until death, progression to acute leukemia or last follow-up. Hematocrit (Hct), hemoglobin (Hb), white blood cell (WBC) and platelet (PLT) levels were recorded for each patient at least every 6 months. Among a total of 331 pts, the median age was 65 years (range 30-92 years), and 56% were male. "High risk" features (age ≥ 60 years and/or history of prior thrombosis) were present in 221 pts (66.7%). The incidence of cardiovascular risk factors was: hypertension 64%, diabetes 15%, hyperlipidemia 28%, history of active or remote smoking 41%. Patients on ASA were 279 (84%), 19 (6%) were on oral anticoagulation, while 27 (8%) were on ASA+oral anticoagulant. At PV diagnosis 54 pts (16%) presented with thrombosis, arterial in 32 (59%) and venous in 22 (41%). A previous TE was recorded in 57 pts (17%): in 43 (75%) arterial, in 12 (22%) venous and in 2 (3%) mixed (arterial+venous). Previous thrombosis was the only variable significantly associated with the presence of a TE at PV diagnosis (P=0.02). After PV diagnosis, with a median follow-up of 81 months (range 1-374 months), 63 pts (19%) experienced a TE and 11 of them a further episode, for a total of 74 TEs. The incidence rate (pts/year) of TEs was 2.7%. Forty-two events were arterial (57%), 31 were venous (42%) and 1 (1%) was mixed. It was the first TE for 37 pts. Cerebrovascular accidents and deep-venous thrombosis were the most frequent arterial and venous TEs both at PV diagnosis and throughout the disease course, with a relative incidence of 50% and 32% respectively. The table compares the characteristics of patients who did or did not develop a TE after PV diagnosis. At univariate analysis, PV high risk status, a previous TE and hyperlipidemia at PV diagnosis were significantly associated with a subsequent TE. Among hematologic variables an elevated WBC count at the time of thrombosis, but not Hct or PLT levels, was highly significantly associated with the development of a TE. At multivariate analysis, WBC count ≥10.4 x 10^9/L and hyperlipidemia maintained their independent prognostic value, while high risk status and a previous TE lost their prognostic significance. Both at univariate and multivariate analysis, hyperlipidemia at diagnosis (P=0.009 and P=0.002) and high WBC count at thrombosis (P=0.001 and P=&lt;0.0001) predicted for arterial thromboses, while only a history of prior thrombosis (P=0.03) predicted for venous ones. In conclusion, our analysis confirms that elevated WBC count at the moment of the event more than increased hematocrit is associated to the development of thrombosis in PV pts. We also found that hyperlipidemia was an independent risk factor for arterial thrombosis, calling for an accurate management of increased lipid levels. Whether a reduction of the WBC count during the course of PV may reduce the frequency of TE remains to be demonstrated by prospective studies. Table Disclosures D'Adda: Novartis: Other: Advisory board; Incyte: Other: Advisory board; Pfizer: Other: Advisory board. Rossi:Daiichi Sankyo: Consultancy, Honoraria; Sanofi: Honoraria; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Novartis: Other: Advisory board; Alexion: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria; Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Jazz: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees.

scholarly journals Pre-Transplant Fecal Microbial Diversity Independently Predicts Critical Illness after Hematopoietic Cell Transplantation

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3264-3264 ◽  
Author(s):  
Fatima I. Adhi ◽  
Eric R. Littmann ◽  
Ying Taur ◽  
Molly A. Maloy ◽  
Kate A Markey ◽  
...  
Keyword(s):  
Intensive Care ◽  
Respiratory Failure ◽  
Critical Illness ◽  
Board Of Directors ◽  
Research Funding ◽  
Independent Predictor ◽  
Fecal Microbiota ◽  
Advisory Committees ◽  
Icu Admission ◽  
Conditioning Intensity

Background Fecal microbiota composition is associated with important outcomes after allo-HCT including survival, relapse, GVHD, and infections. We previously demonstrated in a multicenter observational study that HCT patients present with fecal microbiota configurations that have lower diversity and are distinct from those of healthy individuals, and that pre-HCT microbiota injury predicts poor overall survival. Here, we hypothesized that pre-HCT fecal microbiota features predict development of critical illness post-HCT. Methods We analyzed 828 adults who received a first allo-HCT from 2009 to 2017 at a single institution who had an evaluable fecal sample in our biobank collected within the 10 days prior to cell infusion. The patients were heterogeneous with respect to transplant indication, conditioning intensity, graft source (cord blood, peripheral blood, marrow) and graft manipulation (CD34-selection). The V4-V5 regions of 16S rRNA genes of DNA extracted from fecal samples were amplified and annotated taxonomically. The outcome of interest was time to ICU admission, which was assessed using survival-analysis methods. The reason for admission to the ICU was evaluated for each subject. Results Seventy-five (9%) patients were admitted to the intensive care unit (ICU) between the day of cell infusion and day +50; the peak incidence of ICU admission occurred on day +10. The most common indications for ICU admission were respiratory failure (65%) and infection (27%). Patients were stratified based on fecal microbiota diversity, as assessed by 16S sequencing of stool samples collected prior to transplantation, into high (inverse Simpson index ≥4) and low (<4) diversity groups following a previously-published cutoff. Patients with low diversity pre-HCT had a strikingly higher risk of ICU admission than those with high diversity (HR 2.38 [95% CI 1.5-3.7], p <0.001, see the Figure). This association remained significant in a multivariate Cox proportional hazard model that accounted for conditioning intensity, graft source, graft manipulation, and the HCT-CI comorbidity index (multivariate p = 0.003). HCT-CI score was also an independent predictor of ICU admission. The association between pre-HCT fecal diversity and ICU admission was also significant when the outcome definition was limited to ICU transfers for reason of respiratory failure or sepsis (to the exclusion of such indications as hemorrhage, anaphylaxis, or isolated dysfunctions of the cardiac, renal, or neurological systems). Conclusion Pre-transplant fecal microbial diversity is an independent predictor of intensive-care-requiring critical illness in the post-HCT period. These observations highlight the pre-HCT period as a window of opportunity to (a) assess microbiota injury in conjunction with comorbidity evaluation, (b) inform selection of antibiotic prophylaxis, gut-decontamination, GVHD-prophylaxis, or conditioning regimens, and (c) intervene with microbiota injury-remediation or prevention strategies. Figure Disclosures Brereton: Seres Therapeutics: Other: Salary Support. Clurman:Seres Therapeutics: Research Funding. Slingerland:Seres Therapeutics: Other: Salary supported by Seres funding. Shah:Janssen Pharmaceutica: Research Funding; Amgen: Research Funding. Scordo:McKinsey & Company: Consultancy; Angiocrine Bioscience, Inc.: Consultancy. Politikos:Angiocrine Bioscience Inc: Research Funding. Gyurkocza:Actinium Pharmaceuticals: Research Funding. Barker:Angiocrine Bioscience Inc: Research Funding; Gamida Cell: Research Funding; Merck: Research Funding. Perales:Kyte/Gilead: Research Funding; Miltenyi: Research Funding; MolMed: Membership on an entity's Board of Directors or advisory committees; NexImmune: Membership on an entity's Board of Directors or advisory committees; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bellicum: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Meyers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Nektar Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Omeros: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Consultancy, Honoraria; Medigene: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees. Giralt:Amgen: Consultancy, Research Funding; Spectrum Pharmaceuticals: Consultancy; Actinium: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Kite: Consultancy; Johnson & Johnson: Consultancy, Research Funding; Jazz Pharmaceuticals: Consultancy; Miltenyi: Research Funding; Takeda: Consultancy, Research Funding; Novartis: Consultancy. van den Brink:Merck & Co, Inc.: Consultancy, Honoraria; Acute Leukemia Forum (ALF): Consultancy, Honoraria; Magenta and DKMS Medical Council: Membership on an entity's Board of Directors or advisory committees; Juno Therapeutics: Other: Licensing; Amgen: Consultancy, Honoraria; Therakos: Consultancy, Honoraria; Seres Therapeutics: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Flagship Ventures: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Evelo: Consultancy, Honoraria; Jazz Pharmaceuticals: Consultancy, Honoraria. Pamer:Bristol Myers Squibb: Honoraria; Celgene: Honoraria; Seres Therapeutics: Honoraria, Patents & Royalties; MedImmune: Honoraria; Novartis: Honoraria; Ferring Pharmaceuticals: Honoraria. Peled:Seres Therapeutics: Research Funding.

scholarly journals Multicenter Analysis of Treatment and Outcomes for Patient with TP53 Mutated AML in the Era of Novel Therapies; Significant Impact of Allogeneic Stem Cell Transplantation on Survival

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 797-797
Author(s):  
Talha Badar ◽  
Mark R. Litzow ◽  
Rory M. Shallis ◽  
Jan Philipp Bewersdorf ◽  
Antoine Saliba ◽  
...  
Keyword(s):  
Stem Cell ◽  
High Risk ◽  
Stem Cell Transplantation ◽  
Board Of Directors ◽  
Research Funding ◽  
Univariate Analysis ◽  
Advisory Board ◽  
Novel Therapies ◽  
Advisory Committees ◽  
Tp53 Mutations

Abstract Background: TP53 mutations occur in 10-20% of patients with AML, constitute high-risk disease as per ELN criteria, and confer poorer prognosis. Venetoclax combination therapies and CPX-351 were recently approved for AML treatment and lead to improved outcomes in subsets of high-risk AML, however the most effective approach for treatment of TP53-mutated (m) AML remains unclear. In this study we explored the clinical outcome of TP53m AML patients treated over the last 8 years as novel therapies have been introduced to our therapeutic armamentarium. Methods: We conducted a multicenter observational study in collaboration with 4 U.S. academic centers and analyzed clinical characteristics and outcome of 174 TP53m AML patients diagnosed between March 2013 and February 2021. Mutation analysis was performed on bone marrow specimens using 42, 49, 199, or 400 gene targeted next generation sequencing (NGS) panels. Patients with an initial diagnosis of AML were divided into 4 groups (GP) based on the progressive use of novel therapies in clinical trials and their approvals as AML induction therapy during different time periods: 2013-2017 (GP1, n= 37), 2018-2019 (GP2, n= 53), 2019-2020 (GP3, n= 48) and 2020-2021 (GP4, n= 36) to analyze difference in outcome. Results: Baseline characteristics were not significantly different across different GP, as shown in Table 1. Median age of patients was 68 (range [R], 18-83), 65 (R, 29-88), 69 (R, 37-90) and 70 (R, 51-97) years in GP1-4, respectively (p=0.40). The percentage of patients with de novo AML/secondary AML/therapy-related AML in GP1-4 was 40/40/20, 36/29/24, 37.5/37.5/25 and 28/52/20, respectively (p=0.82). The proportion of patients with complex cytogenetics (CG) was 92%, 89%, 96% and 94% in GP1-4, respectively (p=0.54). The median TP53m variant allele frequency (VAF) was 48% (range [R], 5-94), 42% (R, 5-91), 45% (R, 10-94) and 60% (R, 8-82) in GP1-4, respectively (p=0.38). Four (11%), 13 (24.5%), 10 (21%) and 9 (25%) patients had multiple TP53 mutations in GP1-4, respectively (p=0.33). The proportion of patients who received 3+7 (30%, 16%, 6% & 8%; p=0.01), HMA only (11%, 18%, 2% & 8%; p=0.06), venetoclax-based (2.5%, 12%, 48%, & 61%; p &lt;0.01) and CPX-351 induction (16%, 40%, 28% & 5%; p&lt;0.001) were varied in GP1-4, respectively. The rate of CR/CRi was 22%, 26%, 28% and 18% in GP1-4, respectively (p=0.63). Treatment related mortality during induction was observed in 3%, 7%, 10% and 17% of patients in GP1-4, respectively (p=0.18). Overall, 28 (16%) patients received allogeneic hematopoietic stem cell transplantation (alloHCT) after induction/consolidation: 22%, 15%, 17% and 11% in GP1-4, respectively (p=0.67). In subset analysis, there was no difference in the rate of CR/CRi with venetoclax-based regimens vs. others (39% vs 61%, p=0.18) or with CPX-351 vs. others (25% vs 75%, p=0.84). The median progression-free survival was 7.7, 7.0, 5.1 and 6.6 months in GP1-4, respectively (p=0.60, Fig 1A). The median overall survival (OS) was 9.4, 6.1, 4.0 and 8.0 months in GP1-4, respectively (p=0.29, Fig 1B). In univariate analysis for OS, achievement of CR/CRi (p&lt;0.001) and alloHCT in CR1 (p&lt;0.001) associated with favorable outcome, whereas complex CG (p=0.01) and primary refractory disease (p&lt;0.001) associated with poor outcome. Multiple TP53 mutations (p=0.73), concurrent ASXL1m (p=0.86), extra-medullary disease (p=0.92), ≥ 3 non-TP53m mutations (p=0.72), TP53m VAF ≥ 40% vs. &lt; 40% (p=0.25), induction with CPX-351 vs. others (p=0.59) or venetoclax-based regimen vs. others (p=0.14) did not show significance for favorable or poor OS in univariate analysis. In multivariable analysis, alloHCT in CR1 (hazard ratio [HR]=0.28, 95% CI: 0.15-0.53; p=0.001) retained an association with favorable OS and complex CG (HR 4.23, 95%CI: 1.79-10.0; p=0.001) retained an association with dismal OS. Conclusion: We present the largest experience with TP53m AML patients analyzed by NGS. Although outcomes were almost universally dismal, alloHCT appears to improve the long-term survival in a subset of these patients. Effective therapies are warranted to successfully bridge patients to alloHCT and to prolong survival for transplant ineligible patients. Figure 1 Figure 1. Disclosures Badar: Pfizer Hematology-Oncology: Membership on an entity's Board of Directors or advisory committees. Litzow: Omeros: Other: Advisory Board; Pluristem: Research Funding; Actinium: Research Funding; Amgen: Research Funding; Jazz: Other: Advisory Board; AbbVie: Research Funding; Astellas: Research Funding; Biosight: Other: Data monitoring committee. Shallis: Curis: Divested equity in a private or publicly-traded company in the past 24 months. Goldberg: Celularity: Research Funding; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; Aprea: Research Funding; Arog: Research Funding; DAVA Oncology: Honoraria; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Research Funding; Prelude Therapeutics: Research Funding; Aptose: Consultancy, Research Funding; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Atallah: BMS: Honoraria, Speakers Bureau; Takeda: Consultancy, Research Funding; Amgen: Consultancy; Abbvie: Consultancy, Speakers Bureau; Novartis: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Research Funding. Foran: revolution medicine: Honoraria; gamida: Honoraria; bms: Honoraria; pfizer: Honoraria; novartis: Honoraria; takeda: Research Funding; kura: Research Funding; h3bioscience: Research Funding; OncLive: Honoraria; servier: Honoraria; aptose: Research Funding; actinium: Research Funding; abbvie: Research Funding; trillium: Research Funding; sanofi aventis: Honoraria; certara: Honoraria; syros: Honoraria; taiho: Honoraria; boehringer ingelheim: Research Funding; aprea: Research Funding; sellas: Research Funding; stemline: Research Funding.

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