Comparison of three prognostic scoring systems in a series of 146 cases of chronic myelomonocytic leukemia (CMML): MD Anderson prognostic score (MDAPS), CMML-specific prognostic scoring system (CPSS) and Mayo prognostic model. A detailed review of prognostic factors in CMML

2015 ◽  
Vol 39 (11) ◽  
pp. 1146-1153 ◽  
Author(s):  
Xavier Calvo ◽  
Meritxell Nomdedeu ◽  
Rodrigo Santacruz ◽  
Núria Martínez ◽  
Dolors Costa ◽  
...  
2013 ◽  
Vol 31 (19) ◽  
pp. 2428-2436 ◽  
Author(s):  
Raphaël Itzykson ◽  
Olivier Kosmider ◽  
Aline Renneville ◽  
Véronique Gelsi-Boyer ◽  
Manja Meggendorfer ◽  
...  

Purpose Several prognostic scoring systems have been proposed for chronic myelomonocytic leukemia (CMML), a disease in which some gene mutations—including ASXL1—have been associated with poor prognosis in univariable analyses. We developed and validated a prognostic score for overall survival (OS) based on mutational status and standard clinical variables. Patients and Methods We genotyped ASXL1 and up to 18 other genes including epigenetic (TET2, EZH2, IDH1, IDH2, DNMT3A), splicing (SF3B1, SRSF2, ZRSF2, U2AF1), transcription (RUNX1, NPM1, TP53), and signaling (NRAS, KRAS, CBL, JAK2, FLT3) regulators in 312 patients with CMML. Genotypes and clinical variables were included in a multivariable Cox model of OS validated by bootstrapping. A scoring system was developed using regression coefficients from this model. Results ASXL1 mutations (P < .0001) and, to a lesser extent, SRSF2 (P = .03), CBL (P = .003), and IDH2 (P = .03) mutations predicted inferior OS in univariable analysis. The retained independent prognostic factors included ASXL1 mutations, age older than 65 years, WBC count greater than 15 ×109/L, platelet count less than 100 ×109/L, and anemia (hemoglobin < 10 g/dL in female patients, < 11g/dL in male patients). The resulting five-parameter prognostic score delineated three groups of patients with median OS not reached, 38.5 months, and 14.4 months, respectively (P < .0001), and was validated in an independent cohort of 165 patients (P < .0001). Conclusion A new prognostic score including ASXL1 status, age, hemoglobin, WBC, and platelet counts defines three groups of CMML patients with distinct outcomes. Based on concordance analysis, this score appears more discriminative than those based solely on clinical parameters.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 2810-2810 ◽  
Author(s):  
Xavier Calvo ◽  
Meritxell Nomdedeu ◽  
Dolors Costa ◽  
Arturo Pereira ◽  
Núria Martínez ◽  
...  

Abstract Introduction Despite the existence of specific prognostic scoring systems, the International Prognostic Scoring System (IPSS) has been the most used for the evaluation of Chronic Myelomonocytic Leukemia (CMML) although it is not applicable for proliferative variants. Since its publication in 2002, the MD Anderson Prognostic Score (MDAPS) has been the most specific and powerful prognostic tool for CMML. Due to the recent emergence of CMML-specific Prognostic Scoring System (CPSS), we sought to determine its usefulness in our series and it was compared with the MDAPS to identify the index with the best capability to discriminate between high and low risk patients. Aim 1) To assess the prognostic impact of each of the variables composing the prognostic scoring systems: MDAPS and CPSS and 2) to evaluate the discriminative ability of both scores to detect the highest risk patients. Patients and Methods One hundred and twenty-two patients (74M/48F; median age: 76 years, 27-96 years; median follow-up: 1.88 years, 0-11.4 years) diagnosed with CMML (108 CMML-I; 14 CMML-II; 92 dysplastic CMML; 30 proliferative CMML) between 1998 and 2013 from the Hospital Clínic de Barcelona (n=110) and the Hospital Universitari Germans Trias i Pujol (n=12). The prognostic impact in terms of overall survival (OS) and leukemia free survival (LFS) of each of the variables that compose the score systems and both scores were studied by an univariate survival analysis (Kaplan-Meier; Log-Rank). The two prognostic indices were faced in a multivariate analysis (Cox Regression) to assess the discriminative power of each one to detect the highest risk patients. Finally, Receiver Operating Characteristics (ROC) curves were plotted and the area under the ROC curve was calculated as an index for the predictive value of the model. Results All the variables that compose the CPSS (CMML-I vs. II, transfusion requirement, dysplastic vs. proliferative variant and CPSS cytogenetics) had prognostic impact in terms of OS (p &lt;0.001, p &lt;0.001, p &lt;0.001, p =0.001) and LFS (p &lt;0.001, p =0.005, p &lt; 0.001, p =0.004). For the variables composing the MDAPS (Hb &lt;120g/L, total lymphocyte count &gt; 2500/mm3, presence of circulating immature cells and bone marrow blasts ≥ 10%) only the Hb &lt;120g/L and the bone marrow blasts ≥ 10% impacted on OS (p =0.001, p &lt;0.001, respectively) and only the bone marrow blasts ≥ 10% had an impact on the LFS (p &lt;0.001). When the score systems were applied to our series, both had an impact on OS and LFS (OS CPSS p &lt;0.001; LFS CPSS p &lt;0.001; OS MDAPS p &lt;0.001; LFS MDAPS p =0.037). In a multivariate analysis including gender, age, high risk patients defined by the MDAPS (high risk MDAPS) and high risk patients defined by the CPSS (high risk CPSS), only age and high risk CPSS retained its statistical significance for OS (p = 0.023, p =0.001, respectively) and only high risk CPSS for LFS (p =0.001). The greatest area under the curve (AUC), showing the highest predictive value, was observed in the mortality ROC curve of the CPSS (0.77, CI 95%: 0.68-0.86) while the AUC for the MDAPS was smaller (0.58, CI: 0.47-0.69). Conclusions In our series, CPSS seems to be a better tool than MDAPS for the prediction of OS and LFS in CMML. These data reinforce the validity of the CPSS and could serve as an additional validation cohort. Disclosures: No relevant conflicts of interest to declare.


Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 3122-3122
Author(s):  
Christian Gisselbrecht ◽  
Nicolas Mounier ◽  
Olivier Casanovas ◽  
O. Reman ◽  
Catherine Sebban ◽  
...  

Abstract Actually, the prognosis of localized Hodgkin’s lymphoma (HL) patients may be assessed by different scoring systems. Although many similar characteristics have been identified, these scoring systems are not easy to relate to advanced stage HL. The aim of the present study was to refine the assessment of risk using the published scoring systems and to construct a statistical model for predicting risk of death. We report here the results of the EORTC, GHSG and Canadian-ECOG scoring systems obtained in 1156 patients for whom hematological data were available among the 1390 patients with localized HL prospectively treated within GELA centres in H8 (518 pts) and H9 (638 pts) trials. The International prognostic score (IPS) was available only for the H9 subset. All patients have been treated with radio-chemotherapy of different intensity or duration according to their prognostic factors. Median age was 30 yr [14–69] and age≥45yr.: 18%, female 50%; stage 1: 25%; stage 2: 75%; B symptoms with elevated ESR: 40%; number of nodal sites 1–2: 52%; ≥3: 48%; extra nodal involvement: 8%, bulky mediastinum&gt; 0.35, 28%; elevated ESR&gt; 50:33%; Hb&lt; 10.5 g/dl: 7%; Lymphocytes &lt; 600/μl: 6%; WBC &gt; 15000/μl:11 %; albumin&lt; 40g/l: 37%. With the EORTC scoring system 36% of patients had favourable HL, with GHSG 35% and with Canadian-ECOG 38%. The IPS was 0 in 19% and 1 in 45%. With a median follow up of 42 months, 54 patients died. Survival curves according to the different scoring systems significantly discriminated favourable and unfavourable patients outcomes (5 yrs OS 95% vs 92%, p=0.01). By multivariate Cox analysis, age &gt; 45yr (RR=2.0), sex male (RR=2.5), haemoglobin &lt;10.5g/dl (RR=2.3), lymphocytes &lt; 600/μL (RR=3.6), B symptoms with elevated ESR (RR=3.6), extra nodal sites (RR=1.2) retained a significant prognostic value. The 5 yrs OS was 99%, 98%, 92%, 82%, 73% for patients with 0,1, 2, 3, 4–5 factors respectively (p&lt; 0.0001, see figure). 10% of the patients had 3–5 factors. The covariates selection was validated by the bootstrap method. The introduction of albumin&lt; 40g/l in the H9 subset population did not bring more significant information. In conclusion, these factors are similar with those described in the IPS when stages 3–4 are replaced by extra nodal (E) localization. They should be validated in other prospective trials because such a scoring system could unify the assessment of the prognosis for HL patients and facilitate the treatment choice. Figure Figure


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 1695-1695 ◽  
Author(s):  
Eric Padron ◽  
Najla H Al Ali ◽  
Deniz Peker ◽  
Jeffrey E Lancet ◽  
Pearlie K Epling-Burnette ◽  
...  

Abstract Abstract 1695 Introduction: CMML is a genetically and clinically heterogeneous malignancy characterized by peripheral monocytosis, cytopenias, and a propensity for AML transformation. Several prognostic models attempt to stratify patients into subcategories that are predictive for overall survival (OS), six models of which are specific to CMML. However, these models have either never been externally validated in the context of CMML or were externally validated prior to the use of hypomethylating agents. We externally validate and perform a detailed statistical comparison between the International Prognostic Scoring System (IPSS), MD Anderson Scoring System (MDASC), MD Anderson Prognostic Score (MDAPS), Dusseldorf Score (DS), and Spanish Scoring Systems (SS) in a large, single institution cohort. Methods: Data were collected retrospectively from the Moffitt Cancer Center (MCC) CMML database and charts were reviewed of patients that satisfied the WHO criteria for the diagnosis of CMML. The primary objective of the study was to validate the above prognostic models calculated at the time of initial presentation to MCC. All prognostic models were calculated as previously published. All analyses were conducted using SPSS version 15.0 (SPSS Inc, Chicago, IL). The Kaplan–Meier (KM) method was used to estimate median overall survival and the log rank test was used to compare KM survival estimates between two groups. Results: Between January 2000 and February 2012, 123 patients were captured by the MCC CMML database. The median age at diagnosis was 69 (30–90) years and the majority of patients were male (69%). By the WHO classification, the majority of patients had CMML-1 (84% vs. 16%) and most patients were subcategorized as MPN-CMML (59%) versus MDS-CMML (39%) by the FAB CMML criteria. The median overall survival of the entire cohort was 30 months and the rate of AML transformation was 44% (54). Twenty-two patients (18%) were treated with decitabine and 66 (54%) patients were treated with 5-azacitidine. Risk group stratification according to specific prognostic model is summarized in Table 1. The IPSS, MDASC, DS, and SS all predicted OS (p<0.05) while the MDASP could not be validated (p=0.924). When only patients who were treated with 5-azacitadine were considered, the MDASC, DS, and SS continued to predict OS (p<0.05) while the IPSS (p=0.15) and MDASP (p=0.239) did not. Previous reports have demonstrated that the MDASC provides further discrimination to refine stratification by the IPSS in Myelodysplastic Syndromes (MDS). Except for the low-risk DS patients, we grouped patients in our CMML cohort into lower and higher risk disease with each prognostic score and attempted to further stratify patients by the MDASC using KM and the log rank test. The MDASC was able to further risk stratify patients in each group for all prognostic models except those in the higher risk groups by the SS (p=0.07) and DS (P=0.45). When a similar statistical analysis was applied to each prognostic scoring system, only the MDASC was consistently able to further stratify the majority of risk groups as described in Table 2. The Dusseldorf scoring system was able to further stratify all lower risk groups regardless of model but was not able to do so in higher risk disease. Conclusions: This represents the first external validation of existing CMML prognostic models in the era of hypomethylating agent therapy. Except for the MDASP, we were able to validate the prognostic value all models tested. The MDASC represents the most robust model as it consistently refined the stratification of other models tested and remained predictive of OS in 5-azacitidine treated patients. Multi-institution collaboration is needed to construct a robust CMML specific prognostic model. Comparison to the IPSS-R is in progress. Disclosures: No relevant conflicts of interest to declare.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3278-3278
Author(s):  
Priyanka Priyanka ◽  
Janhavi Raut ◽  
Patricia S Fox ◽  
Francesco Stingo ◽  
Tariq Muzzafar

Abstract INTRODUCTION: Chronic myelomonocytic leukemia (CMML) is a myeloid neoplasm that belongs to the category of myelodysplastic syndrome / myeloproliferative neoplasms (MDS / MPN). The International Prognostic Scoring System for Myelodysplastic Syndromes (IPSS) classification and its revised version (IPSS-R) addressed patients with newly diagnosed, untreated MDS and excluded CMML. While numerous investigators have attempted to devise a prognostic risk scoring system for CMML, no system has been generally accepted for this entity. A CMML-specific prognostic scoring (CPSS) system proposed by Such, et al [Blood. 2013; 11;121(15):3005-15] defines 4 different prognostic risk categories for estimating both overall survival (OS) and risk for AML transformation; the alternative version replaces RBC transfusion dependency with hemoglobin levels. AIM: The aim of the study is to validate the alternative CPSS scoring system on the CMML patient cohort at UT MD Anderson Cancer Center (UTMDACC). METHODS: The databases of the Department of Hematopathology at UTMDACC were searched for patients diagnosed with CMML presenting from 2005 to 2012. Cases were classified by WHO 2008 criteria. Inclusion criteria were: confirmed diagnosis of CMML, age > 18 years, persistent absolute monocyte count >1 × 109/L, marrow blasts < 20%, peripheral blood blasts < 20%. The alternative CPSS score was calculated as a function of WHO subtype, FAB subtype, CMML-specific cytogenetic risk classification, and hemoglobin score. Cox proportional hazards regression was used to model overall survival and time to AML progression from date of diagnosis. For time to AML progression, patients who did not experience AML progression were censored at their date of death or last follow-up. Kaplan-Meier curves were used to estimate survival and the log-rank test was used to test for significant differences by CPSS score. All statistical analyses were performed using SAS 9.3 for Windows. RESULTS: Two hundred and three patients with newly diagnosed, untreated CMML were identified in the clinical databases. These included 132 males and 71 females; median age was 70 (range 55-80) years. 149 had CMML-1 and 54 had CMML-2. A total of 107 deaths and 38 progressions were observed. The median (range) follow-up time for all patients was 1.9 (2 days-10.8) years. The variables that compose the alternative CPSS (WHO subtype, FAB subtype, CMML-specific cytogenetic risk classification, hemoglobin) as well as a description of how the score is calculated are given in Tables 1-2. In univariate Cox models, the alternative CPSS score was a significant predictor of both OS and time to AML progression (Type III p-values <.0001 and 0.0037, respectively). Median survival times for OS were 4.07, 3.32, 2.14, and 1.23 years in the low, intermediate-1, intermediate-2, and high risk groups, respectively. Since less than half the patients progressed, the median time to AML progression could not be estimated for all groups but was 6.40 and 1.60 in the intermediate-2 and high risk groups, respectively. Overall, the alternative CPSS score was highly predictive of both OS and progression free survival (PFS) and clearly delineated the patient risk groups in this sample. CONCLUSIONS: These data reinforce the validity of the alternative CPSS and serve as an additional validation cohort. Table 1. Alternative CMML-specific prognostic scoring system (CPSS) score criteria Variable Each level assigned the following value(sum to get the composite CPSS score): 0 1 2 WHO subtype CMML-1 blasts (including promonocytes) <5% in the PB and <10% in the BM CMML-2 blasts (including promonocytes) from 5% to 19% in the PB and from 10% to 19% in the BM, or when Auer rods are present irrespective of blast count — FAB subtype CMML-MD (WBC <13 × 109/L) CMML-MP (WBC ≥13 × 109/L) — CMML-specific cytogenetic risk classification* Low Intermediate High Hemoglobin ≥10 g/dL <10/dL WBC: white blood cell * CMML-specific cytogenetic risk classification; low: normal and isolated –Y; intermediate: other abnormalities; and high: trisomy 8, complex karyotype (≥3 abnormalities), chromosome 7 abnormalities Table 2. Alternative CPSS: scores used for predicting likelihood of survival and leukemic evolution in individual patient with CMML Risk group Overall CPSS score Low 0 Intermediate-1 1 Intermediate-2 2-3 High 4-5 Figure 1 Overall Survival by alternative CPSS Score Figure 1. Overall Survival by alternative CPSS Score Figure 2 Time to AML Progression by alternative CPSS Score Figure 2. Time to AML Progression by alternative CPSS Score Disclosures No relevant conflicts of interest to declare.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3275-3275
Author(s):  
Aziz Nazha ◽  
Rami S Komrokji ◽  
Guillermo Garcia-Manero ◽  
John Barnard ◽  
Cassie Zimmerman ◽  
...  

Abstract Background: Several validated prognostic models exist for patients (pts) with MDS, including the International Prognostic Scoring System (IPSS), the Revised IPSS (IPSS-R), and the MD Anderson Prognostic Scoring System (MDAPSS). All were developed in pts with newly diagnosed MDS, and their prognostic value in subsequent stages of disease, such as at the time of failure of hypomethylating agents (HMAs, azacitidine (AZA) and decitabine (DAC), has not been established. Despite this, the IPSS is often used to determine clinical trial eligibility for pts who fail HMAs and is being considered for drug labeling for this indication. Methods Clinical data were combined from the MDS Clinical Research Consortium institutions (Moffitt Cancer Center n=259, Cleveland Clinic n=221, MD Anderson Cancer Center n=192, Cornell University n=100, Dana-Farber Cancer Institute n=45, and Johns Hopkins n=29). The IPSS, IPSS-R, and MDAPSS were calculated at the time of diagnosis and HMA failure. HMA failure was defined as no response to AZA or DAC following ≥ 4 cycles, loss of response, or progression to acute myeloid leukemia (AML). Responses were defined per International Working Group criteria (IWG 2006). Overall survival was calculated from the time of HMA failure to time of death or last follow up (OSHF). Survival curves were compared using stratified log-rank tests. Akaike information criterion (AIC) was used to compare fits from Cox proportional hazards models. Results A total of 488 pts who failed HMAs and had clinical data available at the time of failure were included in the final analyses. Overall, 406 (83%) were treated with AZA and 82 (17%) with DAC. At diagnosis: median age was 70 years (26-91), median absolute neutrophil count 1.06 k/mL (0.06-36.41), hemoglobin 9.3 g/dL (3.4-38.6), platelets 75 X 103/mL (2-969), and bone marrow blasts 7% (0-28). Prognostic scoring systems at diagnosis included, IPSS: 6 (2%) low, 46 (14%) intermediate-1, 206 (60%) intermediate-2, 83 (24%) high; IPSS-R: 3 (1%) very low, 12 (4%) low, 49 (16%) intermediate, 114 (37%) high, 129 (42%) very high; and MDAPSS: 11 (4%) low, 36 (13%) intermediate-1, 89 (31%) intermediate-2, 149 (52%) high. With median follow up from diagnosis of 18.2 months (mo) (0.7-224.6), median time from diagnosis to HMA start was 1.3 mo (0-162.4). Median number of HMA cycles received was (6, range 4-51): AZA (6, range 4-51), and DAC (4, range 4-21). Median OS from time of diagnosis was 19.5 mo (95% CI, 18.3-22.0). At the time of HMA failure, the median OSHF was 7.1 mo (95% CI, 6.2-7.9). Median OSHF by IPSS (n=311, low 10.9, intermediate-1 11.0, intermediate-2 7.1, high 5.1, p=.005), IPSS-R (n=285, very low 22.4, low 10.3, intermediate 5.6, high 9.4, very high 5.7, p<.0001) and MDAPSS (n=215, low 11.0, intermediate-1 11.3, intermediate-2 9.7, high 5.2, p=.01), Figure 1. Prognostic scoring system comparisons using the subset with all three scores gave AIC values of 1401 (IPSS), 1391 (IPSS-R) and 1393 (MDAPSS), with lower scores indicating a better fit. Conclusion When applying three of the most widely used prognostic scoring systems in MDS to pts at the time of HMA failure, the IPSS-R performed the best, followed by the MDAPSS and the IPSS. No system was ideal, though, and should be used with caution for clinical trial eligibility or drug labeling in MDS pts failing HMAs. Figure 1A. Overall survival by scoring systems: (A) IPSS, (B) IPSS-R, (C) MDAPSS Figure 1A. Overall survival by scoring systems: (A) IPSS, (B) IPSS-R, (C) MDAPSS Figure 1B Figure 1B. Figure 1C Figure 1C. Disclosures Roboz: Novartis: Consultancy; Agios: Consultancy; Celgene: Consultancy; Glaxo SmithKline: Consultancy; Astra Zeneca: Consultancy; Sunesis: Consultancy; Teva Oncology: Consultancy; Astex: Consultancy.


2012 ◽  
Vol 53 (10) ◽  
pp. 2073-2074
Author(s):  
Massimo Breccia ◽  
Paola Finsinger ◽  
Giuseppina Loglisci ◽  
Gioia Colafigli ◽  
Alessandra Serrao ◽  
...  

2007 ◽  
Vol 31 ◽  
pp. S101-S102
Author(s):  
F. Demirkan ◽  
I. Alacacioglu ◽  
G.H. Ozsan ◽  
O. Piskin ◽  
M.A. Ozcan ◽  
...  

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 4660-4660
Author(s):  
Xavier Calvo ◽  
Meritxell Nomdedeu ◽  
Rodrigo Santacruz ◽  
Núria Martínez ◽  
Dolors Costa ◽  
...  

Abstract INTRODUCTION: Although specific prognostic models for Chronic Myelomonocytic Leukemia (CMML) exist, few are based on large series of patients. Since its publication in 2002, the MD Anderson prognostic score (MDAPS) has been the most powerful prognostic tool for CMML. Due to the recent emergence of the CMML-specific prognostic scoring system (CPSS) and the Mayo prognostic model, we compared the three scores to assess their usefulness in our series. These three indexes, and not those based on clinical and molecular variables (Mayo Molecular Model and GFM prognostic score), were selected as the most easy-to-apply in normal clinical practice. AIM: 1) To assess the prognostic impact on overall survival (OS) and leukemia-free survival (LFS) of the variables composing the scores: MDAPS, CPSS and Mayo prognostic model; 2) To test the capability of the scores to detect the high-risk CMML patients; 3) To detect the index with the best predictive value for mortality and leukemia transformation, and 4) To implement a new score after selecting the best variables of the three indexes in terms of OS prognostic information. PATIENTS AND METHODS: From January 1997 to August 2013 a retrospective analysis including 146 patients diagnosed with CMML was performed in Hospital Clínic of Barcelona (n=134) and Hospital Germans Trias i Pujol (n=12). The median age was 76 years (range 27-96 years) and 63% were males. One-hundred and twenty-nine (88%) had a CMML-1, 17 (12%) a CMML-2, 102 (70%) a CMML-MD and 44 (30%) a CMML-MP. The median follow-up for surviving patients was 24.5 months and the median OS was 20 months (range 0-159 months). The prognostic impact in terms of OS and LFS of each of the variables that compose the indexes were studied by a univariate survival analysis (Kaplan-Meier; Log-Rank). A multivariate analysis (Cox model) was performed to assess the independent impact of the variables that showed significance in the univariate analysis in order to select the ones with the best prognostic information. The global prognostic scores were analyzed by univariate and multivariate analyses. In addition, ROC curves and the concordance index (C-index) were implemented to select the score with the best predictive power for mortality or leukemia transformation. RESULTS: All the variables that compose the MDAPS (hemoglobin level < 12 g/dl, absolute lymphocyte count > 2.5 x 109/L, presence of circulating immature myeloid cells (IMCs) and BM blasts ≥ 10%), the CPSS (CMML-MD vs. CMML-MP, CMML-1 vs. CMML-2, RBC transfusion dependency and the Spanish cytogenetic risk classification) and the Mayo prognostic model (absolute monocyte count > 10x109/L, presence of IMCs, hemoglobin < 10 g/dl and platelet count < 100 x 109/L) showed prognostic value on OS with the exception of circulating IMCs. Regarding LFS, only CPSS variables, BM blast ≥ 10% and an absolute monocyte count > 10x109/L had an impact. When the scores were applied, all showed an impact on OS and retained their significance in multivariate analysis. By using ROC curves and C-index, CPSS (ROC area: 0.80, CI 95%: 0.72-0.88; C-index: 0.73) showed a slightly better predictive value for mortality. Variables composing the three indexes were compared in a multivariate analysis and only CPSS parameters and platelets < 100 x 109/L retained their significance. Based on these findings, by adding platelet count information to CPSS, a new score was implemented (CPSS-P) showing the best risk stratification in our series (Figure 1). CONCLUSIONS: The present study reinforces the validity of CPSS, the MDAPS and the Mayo prognostic model for the assessment of CMML patients. Moreover, by including the platelet count information to the CPSS improved the prediction capacity for OS and LFS in our series. It is of importance to remark that platelet count information could help to better stratify CMML patients, being of special value in the subset of patients with normal karyotype. Figure 1. Associations Between Genetic Mutations and Clinical or Demographic Parameters Figure 1. Associations Between Genetic Mutations and Clinical or Demographic Parameters Disclosures No relevant conflicts of interest to declare.


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