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Contribution of comorbidities and grade of bone marrow fibrosis to the prognosis of survival in patients with primary myelofibrosis

机译:合并症和骨髓纤维化程度对原发性骨髓纤维化患者生存预后的贡献

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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. Comor-bidity was assessed using the Adult Comorbidity Evalua-tion-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^.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.
机译:当前针对原发性骨髓纤维化(PMF)广泛使用的国际预后评分系统(IPSS)基于临床参数。这项研究的目的是在诊断时确定其他预后因素,这可能对PMF患者的未来治疗产生影响。我们对131例PMF患者进行了研究,中位随访时间为44个月。根据生存率分析了基线人口统计学,临床和实验室参数,IPSS,骨髓纤维化(MF)等级以及伴随合并症的影响的数据。使用成人合并症评估27(ACE-27)评分和造血细胞移植合并症指数评估合并症。通过将MF和ACE-27部署到IPSS获得了改善的生存期预后模型。多元回归分析证实了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 ^ .951)和ACE-27( P <0.001,HR 4.141,95%CI 2.322-7.386)来预测PMF患者的生存。当用MF和ACE-27修改IPSS时,总体生存的最终预后模型被分为低(分数0-1),中度(分数2-3)和高风险(分数4-6),中位生存期为未达到的时间分别为115和22个月(P <0.001)。我们的研究结果表明,在诊断时结合组织学变化,合并症评估和临床参数可以更好地区分生存预后组的患者,并有助于确定不良结果的高危患者。

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