Browsing by Author "Cokic, Vladan (6507196877)"

The widely used current International Prognostic Scoring System (IPSS) for primary myelofibrosis (PMF) is based on clinical parameters. The objective of this study was to identify additional prognostic factors at the time of diagnosis, which could have an impact on the future treatment of patients with PMF. We conducted a study of 131 consecutive PMF patients with median follow-up of 44 months. Data on baseline demographics, clinical and laboratory parameters, IPSS, grade of bone marrow fibrosis (MF), as well as influence of concomitant comorbidities were analyzed in terms of survival. Comorbidity was assessed using the Adult Comorbidity Evaluation-27 (ACE-27) score and the hematopoietic cell transplantation comorbidity index. An improved prognostic model of survival was obtained by deploying the MF and ACE-27 to the IPSS. A multivariable regression analyses confirmed the statistical significance of IPSS (P < 0.001, HR 3.754, 95 % CI 2.130-6.615), MF > 1 (P = 0.001, HR 2.694, 95 % CI 1.466-4.951) and ACE-27 (P < 0.001, HR 4.141, 95 % CI 2.322-7.386) in predicting the survival of patients with PMF. When the IPSS was modified with MF and ACE-27, the final prognostic model for overall survival was stratified as low (score 0-1), intermediate (score 2-3) and high risk (score 4-6) with median survival of not reached, 115 and 22 months, respectively (P < 0.001). Our findings indicate that the combination of histological changes, comorbidity assessment and clinical parameters at the time of diagnosis allows better discrimination of patients in survival prognostic groups and helps to identify high-risk patients for a poor outcome. © 2014 Springer Science+Business Media New York.

The widely used current International Prognostic Scoring System (IPSS) for primary myelofibrosis (PMF) is based on clinical parameters. The objective of this study was to identify additional prognostic factors at the time of diagnosis, which could have an impact on the future treatment of patients with PMF. We conducted a study of 131 consecutive PMF patients with median follow-up of 44 months. Data on baseline demographics, clinical and laboratory parameters, IPSS, grade of bone marrow fibrosis (MF), as well as influence of concomitant comorbidities were analyzed in terms of survival. Comorbidity was assessed using the Adult Comorbidity Evaluation-27 (ACE-27) score and the hematopoietic cell transplantation comorbidity index. An improved prognostic model of survival was obtained by deploying the MF and ACE-27 to the IPSS. A multivariable regression analyses confirmed the statistical significance of IPSS (P < 0.001, HR 3.754, 95 % CI 2.130-6.615), MF > 1 (P = 0.001, HR 2.694, 95 % CI 1.466-4.951) and ACE-27 (P < 0.001, HR 4.141, 95 % CI 2.322-7.386) in predicting the survival of patients with PMF. When the IPSS was modified with MF and ACE-27, the final prognostic model for overall survival was stratified as low (score 0-1), intermediate (score 2-3) and high risk (score 4-6) with median survival of not reached, 115 and 22 months, respectively (P < 0.001). Our findings indicate that the combination of histological changes, comorbidity assessment and clinical parameters at the time of diagnosis allows better discrimination of patients in survival prognostic groups and helps to identify high-risk patients for a poor outcome. © 2014 Springer Science+Business Media New York.

Essential thrombocythemia (ET) and prefibrotic primary myelofibrosis (prePMF) initially have a similar phenotypic presentation with thrombocytosis. The aim of our study was to determine significant clinical-laboratory parameters at presentation to differentiate prePMF from ET as well as to develop and validate a predictive diagnostic prePMF model. This retrospective study included 464 patients divided into ET (289 pts) and prePMF (175 pts) groups. The model was built using data from a development cohort (229 pts; 143 ET, 86 prePMF), which was then tested in an internal validation cohort (235 pts; 146 ET, 89 prePMF). The most important prePMF predictors in the multivariate logistic model were age ≥ 60 years (RR = 2.2), splenomegaly (RR = 13.2), and increased lactat-dehidrogenase (RR = 2.8). Risk scores were assigned according to derived relative risk (RR) for age ≥ 60 years (1 point), splenomegaly (2 points), and increased lactat-dehidrogenase (1 point). Positive predictive value (PPV) for pre-PMF diagnosis with a score of ≥points was 69.8%, while for a score of ≥3 it was 88.2%. Diagnostic performance had similar values in the validation cohort. In MPN patients with thrombocytosis at presentation, the application of the new model enables differentiation of pre-PMF from ET, which is clinically relevant considering that these diseases have different prognoses and treatments. © 2023 by the authors.

Essential thrombocythemia (ET) and prefibrotic primary myelofibrosis (prePMF) initially have a similar phenotypic presentation with thrombocytosis. The aim of our study was to determine significant clinical-laboratory parameters at presentation to differentiate prePMF from ET as well as to develop and validate a predictive diagnostic prePMF model. This retrospective study included 464 patients divided into ET (289 pts) and prePMF (175 pts) groups. The model was built using data from a development cohort (229 pts; 143 ET, 86 prePMF), which was then tested in an internal validation cohort (235 pts; 146 ET, 89 prePMF). The most important prePMF predictors in the multivariate logistic model were age ≥ 60 years (RR = 2.2), splenomegaly (RR = 13.2), and increased lactat-dehidrogenase (RR = 2.8). Risk scores were assigned according to derived relative risk (RR) for age ≥ 60 years (1 point), splenomegaly (2 points), and increased lactat-dehidrogenase (1 point). Positive predictive value (PPV) for pre-PMF diagnosis with a score of ≥points was 69.8%, while for a score of ≥3 it was 88.2%. Diagnostic performance had similar values in the validation cohort. In MPN patients with thrombocytosis at presentation, the application of the new model enables differentiation of pre-PMF from ET, which is clinically relevant considering that these diseases have different prognoses and treatments. © 2023 by the authors.

We investigated molecular and biological parameters reflecting the biology of chronic lymphocytic leukemia (CLL) that may help us to predict the time to first treatment (TTT). A group of 33 patients with newly diagnosed CLL (Binet stage A) were analyzed. We developed a new scoring system based on the serum levels of β2-microglobulin (β2M) and vascular endothelial growth factor (VEGF) and the expression of lipoprotein lipase (LPL). Patients with a score of 0 had a TTT of 58.4 months, while patients with a score of 3 (increased levels of β2M, LPL, and VEGF) had a significantly shorter TTT of only 10.6 months (p < 0.0001). © 2011 Informa UK, Ltd.

We investigated molecular and biological parameters reflecting the biology of chronic lymphocytic leukemia (CLL) that may help us to predict the time to first treatment (TTT). A group of 33 patients with newly diagnosed CLL (Binet stage A) were analyzed. We developed a new scoring system based on the serum levels of β2-microglobulin (β2M) and vascular endothelial growth factor (VEGF) and the expression of lipoprotein lipase (LPL). Patients with a score of 0 had a TTT of 58.4 months, while patients with a score of 3 (increased levels of β2M, LPL, and VEGF) had a significantly shorter TTT of only 10.6 months (p < 0.0001). © 2011 Informa UK, Ltd.

Objectives: Standard risk stratification for overall survival (OS) in patients with essential thrombocythemia (ET) is based on advanced age and history of thrombotic events. Recently, International Prognostic Score for ET (IPSET) incorporated also leukocytosis in prognostic model. The aim of this study was to establish additional risk factors for OS in ET patients. Methods: After the median follow-up of 7 yr, in 244 consecutive ET patients, 32 deaths were documented (13.2%). The 5- and 10-yr OS was 95.9% and 79.7%, respectively. Considered additional risk factors at diagnosis of ET were the presence of arterial hypertension, diabetes, hyperlipidemia, and smoking attitude. Results: The main cause of death in 75% of patients was cardiovascular (CV) comorbidity. Patients with CV risk factors had increased risk of death (HR = 2.33). Cox regression model identified age, leukocytosis, presence of CV risk factors, and previous thrombosis as unfavorable predictors of survival. Based on these parameters, four risk groups were defined, with significantly different survivals (P < 0.001). Improved prognostic model displayed a better hazard ratio profile compared to the standard risk stratification and IPSET. Conclusion: The addition of CV risk factors allows better prognostic assessment by delineating the intermediate-risk category and improved identification of the high-risk patients. © 2015 John Wiley & Sons A/S.

The current widely accepted stratification defined by age and previous thrombosis in patients with essential thrombocythemia (ET) probably deserves deeper analysis. The aim of our study was to identify additional factors at the time of diagnosis, which have an impact on the thrombosis prediction. We conducted a study of 244 consecutive ET patients with median follow-up of 83 months. We analyzed the influence of age, gender, laboratory parameters, history of previous thrombosis, spleen size, JAK2 mutation as well as cardiovascular (CV) risk factors including arterial hypertension, diabetes, active tobacco use and hyperlipidemia in the terms of thrombosis. The most important predictors of thrombosis in multivariate Cox regression model were the presence of CV risk factors (p = 0.004) and previous thrombosis (p = 0.038). Accordingly, we assigned risk scores based on multivariable analysis–derived hazard ratios (HR) to the presence of 1 CV risk factor (HR = 3.5; 1 point), >1 CV risk factors (HR = 8.3; 2 points) and previous thrombosis (HR = 2.0; 1 point). A final three-tiered prognostic model for thrombosis prediction was developed as low (score 0), intermediate (score 1 or 2) and high risk (score 3) (p < 0.001). The hazard of thrombosis was 3.8 % in low-risk group, 16.7 % in the intermediate-risk group and 60 % in the high-risk group (p < 0.001). Patients with thrombotic complications during the follow-up had a significantly shorter survival (p = 0.018). The new score based on CV risk factors and previous thrombotic events allows a better patient selection within prognostic-risk groups and improved identification of the high-risk patients for thrombosis. © 2014, Springer Science+Business Media New York.

The current widely accepted stratification defined by age and previous thrombosis in patients with essential thrombocythemia (ET) probably deserves deeper analysis. The aim of our study was to identify additional factors at the time of diagnosis, which have an impact on the thrombosis prediction. We conducted a study of 244 consecutive ET patients with median follow-up of 83 months. We analyzed the influence of age, gender, laboratory parameters, history of previous thrombosis, spleen size, JAK2 mutation as well as cardiovascular (CV) risk factors including arterial hypertension, diabetes, active tobacco use and hyperlipidemia in the terms of thrombosis. The most important predictors of thrombosis in multivariate Cox regression model were the presence of CV risk factors (p = 0.004) and previous thrombosis (p = 0.038). Accordingly, we assigned risk scores based on multivariable analysis–derived hazard ratios (HR) to the presence of 1 CV risk factor (HR = 3.5; 1 point), >1 CV risk factors (HR = 8.3; 2 points) and previous thrombosis (HR = 2.0; 1 point). A final three-tiered prognostic model for thrombosis prediction was developed as low (score 0), intermediate (score 1 or 2) and high risk (score 3) (p < 0.001). The hazard of thrombosis was 3.8 % in low-risk group, 16.7 % in the intermediate-risk group and 60 % in the high-risk group (p < 0.001). Patients with thrombotic complications during the follow-up had a significantly shorter survival (p = 0.018). The new score based on CV risk factors and previous thrombotic events allows a better patient selection within prognostic-risk groups and improved identification of the high-risk patients for thrombosis. © 2014, Springer Science+Business Media New York.