Evaluation of clinical and prognostic features and treatment outcomes in patients with chronic lymphocytic leukemia Clinical and prognostic features of CLL patients

Main Article Content

Omer Ekinci
Ergin Turgut

Keywords

Chronic lymphocytic leukemia, prognostic factors, survival

Abstract

Objective: We aimed to investigate the demographic and clinicopathologic characteristics, treatment responses, survival rates, and prognostic factors affecting survival in patients with chronic lymphocytic leukemia (CLL).


Material and Methods: We retrospectively evaluated a total of 131 patients with CLL anddivided into two groups,  alive and  deceased, based on their situation at the time the data were collected for comparison.


Results: The majority of the patients were male (n = 95; 72.5%) and the median age was 62.2 ± 10.16 at disease baseline. The mean follow-up time was 31.7 months  and overall 3- and 5-year survival rates (OS) were 93.4% and 87.4%, respectively, for all patients. There were significant differences between the alive and deceased group with respect to age, platelet count, hemoglobin level, lactate dehydrogenase, albumin, Rai, modified Rai, and Binet stages, B symptoms, splenomegaly, hepatomegaly and autoimmune hemolytic anemia (AIHA) (p < 0.05). Regardless of treatment regimen, the treatment response rate in patients receiving first-line treatment was better in alive than in deceased (p < 0.001). Multivariate Cox regression analysis showed the following independent prognostic factors to affect both overall survival (OS) and treatment-free survival (TFS): age ≤ 64, Binet ≤ stage B, B symptoms, albumin > 4.1 g/dL, and presence of hepatomegaly. Also, AIHA was an independent prognostic factor affecting only TFS rates.


Conclusion: The demographic characteristics of our patients were consistent with the literature, while our 3- and 5-year survival rates were higher. Notably, hepatomegaly and hypoalbuminemia were associated with low OS and TFS. The limitation of the study was the lack of a clear comparison between treatment regimens due to the uneven distribution of the number of patients receiving treatment.

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