Early platelet count kinetics has prognostic value in lower-risk myelodysplastic syndromes

Prognosis of lower-risk (International Prognostic Scoring System [IPSS] low/intermediate-1) myelodysplastic syndrome (MDS) is heterogeneous and relies on steady-state assessment of cytopenias. We analyzed relative drops in neutrophil and platelet counts during the first 6 months of follow-up of lowe...

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Published inBlood advances Vol. 2; no. 16; pp. 2079 - 2089
Main Authors Itzykson, Raphael, Crouch, Simon, Travaglino, Erica, Smith, Alex, Symeonidis, Argiris, Hellström-Lindberg, Eva, Sanz, Guillermo, Čermák, Jaroslav, Stauder, Reinhard, Elena, Chiara, Germing, Ulrich, Mittelman, Moshe, Langemeijer, Saskia, Mądry, Krzysztof, Tatic, Aurelia, Holm, Mette Skov, Almeida, Antonio Medina, Savic, Aleksandar, Šimec, Njetočka Gredelj, Luño, Elisa, Culligan, Dominic, Guerci-Bresler, Agnes, Malcovati, Luca, van Marrewijk, Corine, Bowen, David, de Witte, Theo, Fenaux, Pierre
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 28.08.2018
American Society of Hematology
Elsevier
Subjects
Online AccessGet full text
ISSN2473-9529
2473-9537
2473-9537
DOI10.1182/bloodadvances.2018020495

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Abstract Prognosis of lower-risk (International Prognostic Scoring System [IPSS] low/intermediate-1) myelodysplastic syndrome (MDS) is heterogeneous and relies on steady-state assessment of cytopenias. We analyzed relative drops in neutrophil and platelet counts during the first 6 months of follow-up of lower-risk MDS patients. We performed a landmark analysis of overall survival (OS) of lower-risk MDS patients prospectively included in the European LeukaemiaNet MDS registry having a visit at 6 ± 1 month from inclusion to assess the prognostic relevance of relative drops in neutrophils and platelets, defined as (count at landmark − count at inclusion)/count at inclusion. Of 2102 patients, 807 were eligible for the stringent 6-month landmark analysis. Median age was 73 years. Revised IPSS was very low, low, and intermediate/higher in 26%, 43%, and 31% of patients, respectively. A relative drop in platelets >25% at landmark predicted shorter OS (5-year OS, 21.9% vs 48.6% with platelet drop ≤25%, P < 10−4), regardless of baseline IPSS-revised or absolute platelet counts. Relative neutrophil drop >25% had no significant impact on OS. We built a classifier based on red blood cell transfusion dependence (RBC-TD) and relative platelet drop >25% at landmark. Patients with none (62%), either (27%), or both criteria (11%) had 5-year OS of 53.3%, 32.7%, and 9.0%, respectively (P < 10−4). This classifier was validated in an independent cohort of 335 patients. Combining relative platelet drop >25% and RBC-TD at 6 months from diagnosis provides an inexpensive and noninvasive way to predict outcome in lower-risk MDS. This study was registered at www.clinicaltrials.gov as #NCT00600860. •A drop in platelet count >25% relative to baseline at 6 months from diagnosis predicts inferior outcome in lower-risk MDS.•Platelet drop combined with RBC-TD at 6 months provides an inexpensive and validated classifier of outcome in lower-risk MDS. [Display omitted]
AbstractList Prognosis of lower-risk (International Prognostic Scoring System [IPSS] low/intermediate-1) myelodysplastic syndrome (MDS) is heterogeneous and relies on steady-state assessment of cytopenias. We analyzed relative drops in neutrophil and platelet counts during the first 6 months of follow-up of lower-risk MDS patients. We performed a landmark analysis of overall survival (OS) of lower-risk MDS patients prospectively included in the European LeukaemiaNet MDS registry having a visit at 6 ± 1 month from inclusion to assess the prognostic relevance of relative drops in neutrophils and platelets, defined as (count at landmark - count at inclusion)/count at inclusion. Of 2102 patients, 807 were eligible for the stringent 6-month landmark analysis. Median age was 73 years. Revised IPSS was very low, low, and intermediate/higher in 26%, 43%, and 31% of patients, respectively. A relative drop in platelets >25% at landmark predicted shorter OS (5-year OS, 21.9% vs 48.6% with platelet drop ≤25%, P < 10-4), regardless of baseline IPSS-revised or absolute platelet counts. Relative neutrophil drop >25% had no significant impact on OS. We built a classifier based on red blood cell transfusion dependence (RBC-TD) and relative platelet drop >25% at landmark. Patients with none (62%), either (27%), or both criteria (11%) had 5-year OS of 53.3%, 32.7%, and 9.0%, respectively (P < 10-4). This classifier was validated in an independent cohort of 335 patients. Combining relative platelet drop >25% and RBC-TD at 6 months from diagnosis provides an inexpensive and noninvasive way to predict outcome in lower-risk MDS. This study was registered at www.clinicaltrials.gov as #NCT00600860.Prognosis of lower-risk (International Prognostic Scoring System [IPSS] low/intermediate-1) myelodysplastic syndrome (MDS) is heterogeneous and relies on steady-state assessment of cytopenias. We analyzed relative drops in neutrophil and platelet counts during the first 6 months of follow-up of lower-risk MDS patients. We performed a landmark analysis of overall survival (OS) of lower-risk MDS patients prospectively included in the European LeukaemiaNet MDS registry having a visit at 6 ± 1 month from inclusion to assess the prognostic relevance of relative drops in neutrophils and platelets, defined as (count at landmark - count at inclusion)/count at inclusion. Of 2102 patients, 807 were eligible for the stringent 6-month landmark analysis. Median age was 73 years. Revised IPSS was very low, low, and intermediate/higher in 26%, 43%, and 31% of patients, respectively. A relative drop in platelets >25% at landmark predicted shorter OS (5-year OS, 21.9% vs 48.6% with platelet drop ≤25%, P < 10-4), regardless of baseline IPSS-revised or absolute platelet counts. Relative neutrophil drop >25% had no significant impact on OS. We built a classifier based on red blood cell transfusion dependence (RBC-TD) and relative platelet drop >25% at landmark. Patients with none (62%), either (27%), or both criteria (11%) had 5-year OS of 53.3%, 32.7%, and 9.0%, respectively (P < 10-4). This classifier was validated in an independent cohort of 335 patients. Combining relative platelet drop >25% and RBC-TD at 6 months from diagnosis provides an inexpensive and noninvasive way to predict outcome in lower-risk MDS. This study was registered at www.clinicaltrials.gov as #NCT00600860.
A drop in platelet count >25% relative to baseline at 6 months from diagnosis predicts inferior outcome in lower-risk MDS. Platelet drop combined with RBC-TD at 6 months provides an inexpensive and validated classifier of outcome in lower-risk MDS. Prognosis of lower-risk (International Prognostic Scoring System [IPSS] low/intermediate-1) myelodysplastic syndrome (MDS) is heterogeneous and relies on steady-state assessment of cytopenias. We analyzed relative drops in neutrophil and platelet counts during the first 6 months of follow-up of lower-risk MDS patients. We performed a landmark analysis of overall survival (OS) of lower-risk MDS patients prospectively included in the European LeukaemiaNet MDS registry having a visit at 6 ± 1 month from inclusion to assess the prognostic relevance of relative drops in neutrophils and platelets, defined as (count at landmark − count at inclusion)/count at inclusion. Of 2102 patients, 807 were eligible for the stringent 6-month landmark analysis. Median age was 73 years. Revised IPSS was very low, low, and intermediate/higher in 26%, 43%, and 31% of patients, respectively. A relative drop in platelets >25% at landmark predicted shorter OS (5-year OS, 21.9% vs 48.6% with platelet drop ≤25%, P < 10 −4 ), regardless of baseline IPSS-revised or absolute platelet counts. Relative neutrophil drop >25% had no significant impact on OS. We built a classifier based on red blood cell transfusion dependence (RBC-TD) and relative platelet drop >25% at landmark. Patients with none (62%), either (27%), or both criteria (11%) had 5-year OS of 53.3%, 32.7%, and 9.0%, respectively ( P < 10 −4 ). This classifier was validated in an independent cohort of 335 patients. Combining relative platelet drop >25% and RBC-TD at 6 months from diagnosis provides an inexpensive and noninvasive way to predict outcome in lower-risk MDS. This study was registered at www.clinicaltrials.gov as #NCT00600860.
Prognosis of lower-risk (International Prognostic Scoring System [IPSS] low/intermediate-1) myelodysplastic syndrome (MDS) is heterogeneous and relies on steady-state assessment of cytopenias. We analyzed relative drops in neutrophil and platelet counts during the first 6 months of follow-up of lower-risk MDS patients. We performed a landmark analysis of overall survival (OS) of lower-risk MDS patients prospectively included in the European LeukaemiaNet MDS registry having a visit at 6 ± 1 month from inclusion to assess the prognostic relevance of relative drops in neutrophils and platelets, defined as (count at landmark - count at inclusion)/count at inclusion. Of 2102 patients, 807 were eligible for the stringent 6-month landmark analysis. Median age was 73 years. Revised IPSS was very low, low, and intermediate/higher in 26%, 43%, and 31% of patients, respectively. A relative drop in platelets >25% at landmark predicted shorter OS (5-year OS, 21.9% vs 48.6% with platelet drop ≤25%, < 10 ), regardless of baseline IPSS-revised or absolute platelet counts. Relative neutrophil drop >25% had no significant impact on OS. We built a classifier based on red blood cell transfusion dependence (RBC-TD) and relative platelet drop >25% at landmark. Patients with none (62%), either (27%), or both criteria (11%) had 5-year OS of 53.3%, 32.7%, and 9.0%, respectively ( < 10 ). This classifier was validated in an independent cohort of 335 patients. Combining relative platelet drop >25% and RBC-TD at 6 months from diagnosis provides an inexpensive and noninvasive way to predict outcome in lower-risk MDS. This study was registered at www.clinicaltrials.gov as #NCT00600860.
Prognosis of lower-risk (International Prognostic Scoring System [IPSS] low/intermediate-1) myelodysplastic syndrome (MDS) is heterogeneous and relies on steady-state assessment of cytopenias. We analyzed relative drops in neutrophil and platelet counts during the first 6 months of follow-up of lower-risk MDS patients. We performed a landmark analysis of overall survival (OS) of lower-risk MDS patients prospectively included in the European LeukaemiaNet MDS registry having a visit at 6 ± 1 month from inclusion to assess the prognostic relevance of relative drops in neutrophils and platelets, defined as (count at landmark − count at inclusion)/count at inclusion. Of 2102 patients, 807 were eligible for the stringent 6-month landmark analysis. Median age was 73 years. Revised IPSS was very low, low, and intermediate/higher in 26%, 43%, and 31% of patients, respectively. A relative drop in platelets >25% at landmark predicted shorter OS (5-year OS, 21.9% vs 48.6% with platelet drop ≤25%, P < 10−4), regardless of baseline IPSS-revised or absolute platelet counts. Relative neutrophil drop >25% had no significant impact on OS. We built a classifier based on red blood cell transfusion dependence (RBC-TD) and relative platelet drop >25% at landmark. Patients with none (62%), either (27%), or both criteria (11%) had 5-year OS of 53.3%, 32.7%, and 9.0%, respectively (P < 10−4). This classifier was validated in an independent cohort of 335 patients. Combining relative platelet drop >25% and RBC-TD at 6 months from diagnosis provides an inexpensive and noninvasive way to predict outcome in lower-risk MDS. This study was registered at www.clinicaltrials.gov as #NCT00600860.
A drop in platelet count >25% relative to baseline at 6 months from diagnosis predicts inferior outcome in lower-risk MDS. Platelet drop combined with RBC-TD at 6 months provides an inexpensive and validated classifier of outcome in lower-risk MDS.
Prognosis of lower-risk (International Prognostic Scoring System [IPSS] low/intermediate-1) myelodysplastic syndrome (MDS) is heterogeneous and relies on steady-state assessment of cytopenias. We analyzed relative drops in neutrophil and platelet counts during the first 6 months of follow-up of lower-risk MDS patients. We performed a landmark analysis of overall survival (OS) of lower-risk MDS patients prospectively included in the European LeukaemiaNet MDS registry having a visit at 6 ± 1 month from inclusion to assess the prognostic relevance of relative drops in neutrophils and platelets, defined as (count at landmark − count at inclusion)/count at inclusion. Of 2102 patients, 807 were eligible for the stringent 6-month landmark analysis. Median age was 73 years. Revised IPSS was very low, low, and intermediate/higher in 26%, 43%, and 31% of patients, respectively. A relative drop in platelets >25% at landmark predicted shorter OS (5-year OS, 21.9% vs 48.6% with platelet drop ≤25%, P < 10−4), regardless of baseline IPSS-revised or absolute platelet counts. Relative neutrophil drop >25% had no significant impact on OS. We built a classifier based on red blood cell transfusion dependence (RBC-TD) and relative platelet drop >25% at landmark. Patients with none (62%), either (27%), or both criteria (11%) had 5-year OS of 53.3%, 32.7%, and 9.0%, respectively (P < 10−4). This classifier was validated in an independent cohort of 335 patients. Combining relative platelet drop >25% and RBC-TD at 6 months from diagnosis provides an inexpensive and noninvasive way to predict outcome in lower-risk MDS. This study was registered at www.clinicaltrials.gov as #NCT00600860. •A drop in platelet count >25% relative to baseline at 6 months from diagnosis predicts inferior outcome in lower-risk MDS.•Platelet drop combined with RBC-TD at 6 months provides an inexpensive and validated classifier of outcome in lower-risk MDS. [Display omitted]
Author Mądry, Krzysztof
Itzykson, Raphael
Stauder, Reinhard
Luño, Elisa
Elena, Chiara
Guerci-Bresler, Agnes
de Witte, Theo
Hellström-Lindberg, Eva
Crouch, Simon
Fenaux, Pierre
Travaglino, Erica
Smith, Alex
Holm, Mette Skov
Malcovati, Luca
Bowen, David
Symeonidis, Argiris
Sanz, Guillermo
Mittelman, Moshe
Savic, Aleksandar
van Marrewijk, Corine
Langemeijer, Saskia
Culligan, Dominic
Šimec, Njetočka Gredelj
Tatic, Aurelia
Almeida, Antonio Medina
Čermák, Jaroslav
Germing, Ulrich
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Cites_doi 10.1111/j.1365-2141.2011.08893.x
10.1038/sj.leu.2405070
10.1007/s11135-006-9018-6
10.1109/TAC.1974.1100705
10.1111/j.1600-0609.2009.01299.x
10.1182/blood-2012-03-420489
10.1200/JCO.2012.45.5626
10.1182/blood.V89.6.2079
10.1200/JCO.2009.25.0654
10.1093/jnci/djj129
10.1182/blood-2002-04-1199
10.1002/sim.4780050306
10.1007/s00277-016-2649-3
10.1002/sim.4780131603
10.1038/leu.2015.295
10.1200/JCO.2009.25.2395
10.1200/JCO.2007.15.5770
10.1111/bjh.13450
10.1371/journal.pone.0180756
10.1080/01621459.1999.10474144
10.1007/s00277-017-3009-7
10.1200/JCO.2005.01.7038
10.1093/ajcp/90.3.262
10.1111/bjh.13008
10.18637/jss.v033.i01
10.1200/JCO.2006.08.5696
10.1200/JCO.2011.40.7379
10.1055/s-0037-1613840
10.1002/cncr.24984
10.1002/ajh.21959
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References Malcovati, Porta, Pascutto (bib12) 2005; 23
Akaike (bib15) 1974; 19
Ibrahim, Chu, Chen (bib32) 2010; 28
Pellagatti, Benner, Mills (bib5) 2013; 31
Vardiman, Harris, Brunning (bib10) 2002; 100
Korn (bib13) 1986; 5
Dayyani, Conley, Strom (bib25) 2010; 116
Fine, Gray (bib14) 1999; 94
Ross, Ayscue, Watson, Bentley (bib21) 1988; 90
Friedman, Hastie, Tibshirani (bib18) 2010; 33
Sekeres, Maciejewski, Giagounidis (bib27) 2008; 26
Goldberg, Chen, Corral (bib23) 2010; 28
Pereira, Nomdedeu, Aguilar (bib30) 2011; 86
Malcovati, Germing, Kuendgen (bib6) 2007; 25
Petrylak, Ankerst, Jiang (bib8) 2006; 98
Grambsch, Louis, Bostick (bib16) 1994; 13
van der Helm, Alhan, Wijermans (bib28) 2011; 155
Buckley, James, Brown (bib20) 2000; 83
Montillo, Hamblin, Hallek, Montserrat, Morra (bib7) 2005; 90
de Swart, Smith, MacKenzie (bib11) 2017; 96
Costongs, Janson, Bas, Hermans, Brombacher, van Wersch (bib19) 1985; 23
Bejar, Stevenson, Caughey (bib4) 2012; 30
Garcia-Manero, Shan, Faderl (bib22) 2008; 22
Nachtkamp, Stark, Strupp (bib24) 2016; 95
Alhan, Westers, Cremers (bib3) 2016; 30
de Swart, Smith, Johnston (bib9) 2015; 170
Greenberg, Cox, LeBeau (bib1) 1997; 89
Zhao, Catalano, DeGruttola, Michor (bib31) 2017; 12
Neukirchen, Blum, Kuendgen (bib26) 2009; 83
Greenberg, Tuechler, Schanz (bib2) 2012; 120
O'Brien (bib17) 2007; 41
Zeidan, Lee, Prebet (bib29) 2014; 167
Friedman (2019111617252500700_B18) 2010; 33
Malcovati (2019111617252500700_B6) 2007; 25
Montillo (2019111617252500700_B7) 2005; 90
de Swart (2019111617252500700_B11) 2017; 96
Korn (2019111617252500700_B13) 1986; 5
Costongs (2019111617252500700_B19) 1985; 23
Petrylak (2019111617252500700_B8) 2006; 98
Neukirchen (2019111617252500700_B26) 2009; 83
Buckley (2019111617252500700_B20) 2000; 83
Garcia-Manero (2019111617252500700_B22) 2008; 22
Alhan (2019111617252500700_B3) 2016; 30
Malcovati (2019111617252500700_B12) 2005; 23
Zeidan (2019111617252500700_B29) 2014; 167
Ross (2019111617252500700_B21) 1988; 90
Greenberg (2019111617252500700_B2) 2012; 120
Nachtkamp (2019111617252500700_B24) 2016; 95
Ibrahim (2019111617252500700_B32) 2010; 28
de Swart (2019111617252500700_B9) 2015; 170
Zhao (2019111617252500700_B31) 2017; 12
Goldberg (2019111617252500700_B23) 2010; 28
Pereira (2019111617252500700_B30) 2011; 86
Sekeres (2019111617252500700_B27) 2008; 26
Bejar (2019111617252500700_B4) 2012; 30
Akaike (2019111617252500700_B15) 1974; 19
Grambsch (2019111617252500700_B16) 1994; 13
O’Brien (2019111617252500700_B17) 2007; 41
van der Helm (2019111617252500700_B28) 2011; 155
Greenberg (2019111617252500700_B1) 1997; 89
Pellagatti (2019111617252500700_B5) 2013; 31
Dayyani (2019111617252500700_B25) 2010; 116
Vardiman (2019111617252500700_B10) 2002; 100
Fine (2019111617252500700_B14) 1999; 94
References_xml – volume: 28
  start-page: 2796
  year: 2010
  end-page: 2801
  ident: bib32
  article-title: Basic concepts and methods for joint models of longitudinal and survival data
  publication-title: J Clin Oncol
– volume: 98
  start-page: 516
  year: 2006
  end-page: 521
  ident: bib8
  article-title: Evaluation of prostate-specific antigen declines for surrogacy in patients treated on SWOG 99-16
  publication-title: J Natl Cancer Inst
– volume: 95
  start-page: 937
  year: 2016
  end-page: 944
  ident: bib24
  article-title: Causes of death in 2877 patients with myelodysplastic syndromes
  publication-title: Ann Hematol
– volume: 170
  start-page: 372
  year: 2015
  end-page: 383
  ident: bib9
  article-title: Validation of the revised international prognostic scoring system (IPSS-R) in patients with lower-risk myelodysplastic syndromes: a report from the prospective European LeukaemiaNet MDS (EUMDS) registry
  publication-title: Br J Haematol
– volume: 30
  start-page: 658
  year: 2016
  end-page: 665
  ident: bib3
  article-title: The myelodysplastic syndromes flow cytometric score: a three-parameter prognostic flow cytometric scoring system
  publication-title: Leukemia
– volume: 33
  start-page: 1
  year: 2010
  end-page: 22
  ident: bib18
  article-title: Regularization paths for generalized linear models via coordinate descent
  publication-title: J Stat Softw
– volume: 86
  start-page: 245
  year: 2011
  end-page: 250
  ident: bib30
  article-title: Transfusion intensity, not the cumulative red blood cell transfusion burden, determines the prognosis of patients with myelodysplastic syndrome on chronic transfusion support
  publication-title: Am J Hematol
– volume: 26
  start-page: 5943
  year: 2008
  end-page: 5949
  ident: bib27
  article-title: Relationship of treatment-related cytopenias and response to lenalidomide in patients with lower-risk myelodysplastic syndromes
  publication-title: J Clin Oncol
– volume: 28
  start-page: 2847
  year: 2010
  end-page: 2852
  ident: bib23
  article-title: Incidence and clinical complications of myelodysplastic syndromes among United States Medicare beneficiaries
  publication-title: J Clin Oncol
– volume: 23
  start-page: 69
  year: 1985
  end-page: 76
  ident: bib19
  article-title: Short-term and long-term intra-individual variations and critical differences of haematological laboratory parameters
  publication-title: J Clin Chem Clin Biochem
– volume: 90
  start-page: 391
  year: 2005
  end-page: 399
  ident: bib7
  article-title: Chronic lymphocytic leukemia: novel prognostic factors and their relevance for risk-adapted therapeutic strategies
  publication-title: Haematologica
– volume: 90
  start-page: 262
  year: 1988
  end-page: 267
  ident: bib21
  article-title: Stability of hematologic parameters in healthy subjects. Intraindividual versus interindividual variation
  publication-title: Am J Clin Pathol
– volume: 96
  start-page: 1105
  year: 2017
  end-page: 1112
  ident: bib11
  article-title: Cytomorphology review of 100 newly diagnosed lower-risk MDS patients in the European LeukemiaNet MDS (EUMDS) registry reveals a high inter-observer concordance
  publication-title: Ann Hematol
– volume: 94
  start-page: 496
  year: 1999
  end-page: 509
  ident: bib14
  article-title: A proportional hazards model for the subdistribution of a competing risk
  publication-title: J Am Stat Assoc
– volume: 83
  start-page: 477
  year: 2009
  end-page: 482
  ident: bib26
  article-title: Platelet counts and haemorrhagic diathesis in patients with myelodysplastic syndromes
  publication-title: Eur J Haematol
– volume: 31
  start-page: 3557
  year: 2013
  end-page: 3564
  ident: bib5
  article-title: Identification of gene expression-based prognostic markers in the hematopoietic stem cells of patients with myelodysplastic syndromes
  publication-title: J Clin Oncol
– volume: 13
  start-page: 1619
  year: 1994
  end-page: 1634
  ident: bib16
  article-title: Statistical analysis of proliferative index data in clinical trials
  publication-title: Stat Med
– volume: 22
  start-page: 538
  year: 2008
  end-page: 543
  ident: bib22
  article-title: A prognostic score for patients with lower risk myelodysplastic syndrome
  publication-title: Leukemia
– volume: 167
  start-page: 62
  year: 2014
  end-page: 68
  ident: bib29
  article-title: Platelet count doubling after the first cycle of azacitidine therapy predicts eventual response and survival in patients with myelodysplastic syndromes and oligoblastic acute myeloid leukaemia but does not add to prognostic utility of the revised IPSS
  publication-title: Br J Haematol
– volume: 89
  start-page: 2079
  year: 1997
  end-page: 2088
  ident: bib1
  article-title: International scoring system for evaluating prognosis in myelodysplastic syndromes
  publication-title: Blood
– volume: 83
  start-page: 480
  year: 2000
  end-page: 484
  ident: bib20
  article-title: A novel approach to the assessment of variations in the human platelet count
  publication-title: Thromb Haemost
– volume: 116
  start-page: 2174
  year: 2010
  end-page: 2179
  ident: bib25
  article-title: Cause of death in patients with lower-risk myelodysplastic syndrome
  publication-title: Cancer
– volume: 155
  start-page: 599
  year: 2011
  end-page: 606
  ident: bib28
  article-title: Platelet doubling after the first azacitidine cycle is a promising predictor for response in myelodysplastic syndromes (MDS), chronic myelomonocytic leukaemia (CMML) and acute myeloid leukaemia (AML) patients in the Dutch azacitidine compassionate named patient programme
  publication-title: Br J Haematol
– volume: 25
  start-page: 3503
  year: 2007
  end-page: 3510
  ident: bib6
  article-title: Time-dependent prognostic scoring system for predicting survival and leukemic evolution in myelodysplastic syndromes
  publication-title: J Clin Oncol
– volume: 41
  start-page: 673
  year: 2007
  end-page: 690
  ident: bib17
  article-title: A caution regarding rules of thumb for variance inflation factors
  publication-title: Qual Quant
– volume: 100
  start-page: 2292
  year: 2002
  end-page: 2302
  ident: bib10
  article-title: The World Health Organization (WHO) classification of the myeloid neoplasms
  publication-title: Blood
– volume: 30
  start-page: 3376
  year: 2012
  end-page: 3382
  ident: bib4
  article-title: Validation of a prognostic model and the impact of mutations in patients with lower-risk myelodysplastic syndromes
  publication-title: J Clin Oncol
– volume: 23
  start-page: 7594
  year: 2005
  end-page: 7603
  ident: bib12
  article-title: Prognostic factors and life expectancy in myelodysplastic syndromes classified according to WHO criteria: a basis for clinical decision making
  publication-title: J Clin Oncol
– volume: 120
  start-page: 2454
  year: 2012
  end-page: 2465
  ident: bib2
  article-title: Revised international prognostic scoring system for myelodysplastic syndromes
  publication-title: Blood
– volume: 5
  start-page: 255
  year: 1986
  end-page: 260
  ident: bib13
  article-title: Censoring distributions as a measure of follow-up in survival analysis
  publication-title: Stat Med
– volume: 12
  start-page: e0180756
  year: 2017
  ident: bib31
  article-title: Estimating mono- and bi-phasic regression parameters using a mixture piecewise linear Bayesian hierarchical model
  publication-title: PLoS One
– volume: 19
  start-page: 716
  year: 1974
  end-page: 723
  ident: bib15
  article-title: A new look at the statistical model identification
  publication-title: IEEE Trans Automat Contr
– volume: 155
  start-page: 599
  issue: 5
  year: 2011
  ident: 2019111617252500700_B28
  article-title: Platelet doubling after the first azacitidine cycle is a promising predictor for response in myelodysplastic syndromes (MDS), chronic myelomonocytic leukaemia (CMML) and acute myeloid leukaemia (AML) patients in the Dutch azacitidine compassionate named patient programme
  publication-title: Br J Haematol
  doi: 10.1111/j.1365-2141.2011.08893.x
– volume: 22
  start-page: 538
  issue: 3
  year: 2008
  ident: 2019111617252500700_B22
  article-title: A prognostic score for patients with lower risk myelodysplastic syndrome
  publication-title: Leukemia
  doi: 10.1038/sj.leu.2405070
– volume: 41
  start-page: 673
  issue: 5
  year: 2007
  ident: 2019111617252500700_B17
  article-title: A caution regarding rules of thumb for variance inflation factors
  publication-title: Qual Quant
  doi: 10.1007/s11135-006-9018-6
– volume: 19
  start-page: 716
  issue: 6
  year: 1974
  ident: 2019111617252500700_B15
  article-title: A new look at the statistical model identification
  publication-title: IEEE Trans Automat Contr
  doi: 10.1109/TAC.1974.1100705
– volume: 83
  start-page: 477
  issue: 5
  year: 2009
  ident: 2019111617252500700_B26
  article-title: Platelet counts and haemorrhagic diathesis in patients with myelodysplastic syndromes
  publication-title: Eur J Haematol
  doi: 10.1111/j.1600-0609.2009.01299.x
– volume: 120
  start-page: 2454
  issue: 12
  year: 2012
  ident: 2019111617252500700_B2
  article-title: Revised international prognostic scoring system for myelodysplastic syndromes
  publication-title: Blood
  doi: 10.1182/blood-2012-03-420489
– volume: 31
  start-page: 3557
  issue: 28
  year: 2013
  ident: 2019111617252500700_B5
  article-title: Identification of gene expression-based prognostic markers in the hematopoietic stem cells of patients with myelodysplastic syndromes
  publication-title: J Clin Oncol
  doi: 10.1200/JCO.2012.45.5626
– volume: 89
  start-page: 2079
  issue: 6
  year: 1997
  ident: 2019111617252500700_B1
  article-title: International scoring system for evaluating prognosis in myelodysplastic syndromes
  publication-title: Blood
  doi: 10.1182/blood.V89.6.2079
– volume: 28
  start-page: 2796
  issue: 16
  year: 2010
  ident: 2019111617252500700_B32
  article-title: Basic concepts and methods for joint models of longitudinal and survival data
  publication-title: J Clin Oncol
  doi: 10.1200/JCO.2009.25.0654
– volume: 98
  start-page: 516
  issue: 8
  year: 2006
  ident: 2019111617252500700_B8
  article-title: Evaluation of prostate-specific antigen declines for surrogacy in patients treated on SWOG 99-16
  publication-title: J Natl Cancer Inst
  doi: 10.1093/jnci/djj129
– volume: 100
  start-page: 2292
  issue: 7
  year: 2002
  ident: 2019111617252500700_B10
  article-title: The World Health Organization (WHO) classification of the myeloid neoplasms
  publication-title: Blood
  doi: 10.1182/blood-2002-04-1199
– volume: 5
  start-page: 255
  issue: 3
  year: 1986
  ident: 2019111617252500700_B13
  article-title: Censoring distributions as a measure of follow-up in survival analysis
  publication-title: Stat Med
  doi: 10.1002/sim.4780050306
– volume: 95
  start-page: 937
  issue: 6
  year: 2016
  ident: 2019111617252500700_B24
  article-title: Causes of death in 2877 patients with myelodysplastic syndromes
  publication-title: Ann Hematol
  doi: 10.1007/s00277-016-2649-3
– volume: 13
  start-page: 1619
  issue: 16
  year: 1994
  ident: 2019111617252500700_B16
  article-title: Statistical analysis of proliferative index data in clinical trials
  publication-title: Stat Med
  doi: 10.1002/sim.4780131603
– volume: 30
  start-page: 658
  issue: 3
  year: 2016
  ident: 2019111617252500700_B3
  article-title: The myelodysplastic syndromes flow cytometric score: a three-parameter prognostic flow cytometric scoring system
  publication-title: Leukemia
  doi: 10.1038/leu.2015.295
– volume: 28
  start-page: 2847
  issue: 17
  year: 2010
  ident: 2019111617252500700_B23
  article-title: Incidence and clinical complications of myelodysplastic syndromes among United States Medicare beneficiaries
  publication-title: J Clin Oncol
  doi: 10.1200/JCO.2009.25.2395
– volume: 26
  start-page: 5943
  issue: 36
  year: 2008
  ident: 2019111617252500700_B27
  article-title: Relationship of treatment-related cytopenias and response to lenalidomide in patients with lower-risk myelodysplastic syndromes
  publication-title: J Clin Oncol
  doi: 10.1200/JCO.2007.15.5770
– volume: 170
  start-page: 372
  issue: 3
  year: 2015
  ident: 2019111617252500700_B9
  article-title: Validation of the revised international prognostic scoring system (IPSS-R) in patients with lower-risk myelodysplastic syndromes: a report from the prospective European LeukaemiaNet MDS (EUMDS) registry
  publication-title: Br J Haematol
  doi: 10.1111/bjh.13450
– volume: 12
  start-page: e0180756
  issue: 7
  year: 2017
  ident: 2019111617252500700_B31
  article-title: Estimating mono- and bi-phasic regression parameters using a mixture piecewise linear Bayesian hierarchical model
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0180756
– volume: 94
  start-page: 496
  issue: 446
  year: 1999
  ident: 2019111617252500700_B14
  article-title: A proportional hazards model for the subdistribution of a competing risk
  publication-title: J Am Stat Assoc
  doi: 10.1080/01621459.1999.10474144
– volume: 96
  start-page: 1105
  issue: 7
  year: 2017
  ident: 2019111617252500700_B11
  article-title: Cytomorphology review of 100 newly diagnosed lower-risk MDS patients in the European LeukemiaNet MDS (EUMDS) registry reveals a high inter-observer concordance
  publication-title: Ann Hematol
  doi: 10.1007/s00277-017-3009-7
– volume: 23
  start-page: 7594
  issue: 30
  year: 2005
  ident: 2019111617252500700_B12
  article-title: Prognostic factors and life expectancy in myelodysplastic syndromes classified according to WHO criteria: a basis for clinical decision making
  publication-title: J Clin Oncol
  doi: 10.1200/JCO.2005.01.7038
– volume: 90
  start-page: 262
  issue: 3
  year: 1988
  ident: 2019111617252500700_B21
  article-title: Stability of hematologic parameters in healthy subjects. Intraindividual versus interindividual variation
  publication-title: Am J Clin Pathol
  doi: 10.1093/ajcp/90.3.262
– volume: 167
  start-page: 62
  issue: 1
  year: 2014
  ident: 2019111617252500700_B29
  article-title: Platelet count doubling after the first cycle of azacitidine therapy predicts eventual response and survival in patients with myelodysplastic syndromes and oligoblastic acute myeloid leukaemia but does not add to prognostic utility of the revised IPSS
  publication-title: Br J Haematol
  doi: 10.1111/bjh.13008
– volume: 90
  start-page: 391
  issue: 3
  year: 2005
  ident: 2019111617252500700_B7
  article-title: Chronic lymphocytic leukemia: novel prognostic factors and their relevance for risk-adapted therapeutic strategies
  publication-title: Haematologica
– volume: 33
  start-page: 1
  issue: 1
  year: 2010
  ident: 2019111617252500700_B18
  article-title: Regularization paths for generalized linear models via coordinate descent
  publication-title: J Stat Softw
  doi: 10.18637/jss.v033.i01
– volume: 25
  start-page: 3503
  issue: 23
  year: 2007
  ident: 2019111617252500700_B6
  article-title: Time-dependent prognostic scoring system for predicting survival and leukemic evolution in myelodysplastic syndromes
  publication-title: J Clin Oncol
  doi: 10.1200/JCO.2006.08.5696
– volume: 30
  start-page: 3376
  issue: 27
  year: 2012
  ident: 2019111617252500700_B4
  article-title: Validation of a prognostic model and the impact of mutations in patients with lower-risk myelodysplastic syndromes
  publication-title: J Clin Oncol
  doi: 10.1200/JCO.2011.40.7379
– volume: 23
  start-page: 69
  issue: 2
  year: 1985
  ident: 2019111617252500700_B19
  article-title: Short-term and long-term intra-individual variations and critical differences of haematological laboratory parameters
  publication-title: J Clin Chem Clin Biochem
– volume: 83
  start-page: 480
  issue: 3
  year: 2000
  ident: 2019111617252500700_B20
  article-title: A novel approach to the assessment of variations in the human platelet count
  publication-title: Thromb Haemost
  doi: 10.1055/s-0037-1613840
– volume: 116
  start-page: 2174
  issue: 9
  year: 2010
  ident: 2019111617252500700_B25
  article-title: Cause of death in patients with lower-risk myelodysplastic syndrome
  publication-title: Cancer
  doi: 10.1002/cncr.24984
– volume: 86
  start-page: 245
  issue: 3
  year: 2011
  ident: 2019111617252500700_B30
  article-title: Transfusion intensity, not the cumulative red blood cell transfusion burden, determines the prognosis of patients with myelodysplastic syndrome on chronic transfusion support
  publication-title: Am J Hematol
  doi: 10.1002/ajh.21959
SSID ssj0001763592
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Snippet Prognosis of lower-risk (International Prognostic Scoring System [IPSS] low/intermediate-1) myelodysplastic syndrome (MDS) is heterogeneous and relies on...
A drop in platelet count >25% relative to baseline at 6 months from diagnosis predicts inferior outcome in lower-risk MDS. Platelet drop combined with RBC-TD...
A drop in platelet count >25% relative to baseline at 6 months from diagnosis predicts inferior outcome in lower-risk MDS. Platelet drop combined with RBC-TD...
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SubjectTerms Myeloid Neoplasia
Title Early platelet count kinetics has prognostic value in lower-risk myelodysplastic syndromes
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