Relevance. Chronic lymphocytic leukemia (CLL) is one of the most common lymphoproliferative diseases of the European population with an increase in the elderly and senile age frequency. In this category of patients standard approaches to predicting overall survival do not take into account the presence of comorbid pathology and have low accuracy. In view of this, the search for parameters that affect the overall survival rate of patients with CLL is of particular relevance.The aim of the study is to identify factors affecting the CLL patients overall survival at the stage of CLL diagnosis.Materials and methods. The data of 132 CLL patients with stage A-C according to Binet with known overall survival were retrospectively analyzed. The problem was solved by data mining methods, namely using logical classification algorithms.Results. The glomerular filtration rate is defined as a parameter that objectively justifies the real terms deviation of the patients overall survival from the calculated ones according to the standard Binet staging system. For this parameter, an if…then rule is formed, which makes it possible to predict the patient’s survival. If the GFR value at the time of diagnosis of CLL is more than 76 ml/min /1.73 m2, we can say that the patient will overcome the calculated median survival data for the corresponding stage of CLL according to Binet. Otherwise, the overall survival of the CLL patient will be less than the estimated median survival according to Binet.Conclusion. The analysis of the study allows us to conclude that it is advisable to use data mining methods in predicting the patients overall survival with CLL. The clinical examples given in the article show their effectiveness. According to the study results, an application for invention No. 2022104419 was issued.

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The generally accepted staging for chronic lymphocytic leukemia (CLL) suggested by K. Rai and J. Binet allows calculating the median survival depending on the size of the tumor mass. However, in real clinical practice, the overall survival rate may differ significantly from the calculated median. Thus, the search for parameters affecting the overall survival rate of CLL patients is really relevant. The aim of the study was to assess general clinical parameters as predictors of survival in CLL patients. Materials and Methods. The authors examined 60 CLL men (stages A–C according to Binet) with known overall survival rate. Data mining was used to identify significant factors affecting the overall survival in such patients. Patients were divided into two non-overlapping classes: K1 (actual survival was less than the predicted median survival) and K2 (actual survival was more or equal to the predicted median survival). Results. The most significant differences between the classes were obtained for glomerular filtration rate. If the parameter value is more than 76.5 ml/min/1.73 m2, we can say that the patient will overcome the median survival for the corresponding CLL stage according to Binet. Otherwise, the overall survival of a CLL patient will be less than the estimated one. Conclusion. If during diagnosing glomerular filtration rate of a CLL patient is more than 76.5 ml/min/1.73 m2, it can be considered as a predictor of overcoming the median survival according to Binet. The results of the studies obtained are patented. Patent RU 2725877 C1, July 7, 2020. Keywords: overall survival in CLL patients, men, glomerular filtration rate, data mining. Общепризнанные системы стадирования хронического лимфолейкоза (ХЛЛ) К. Rai и J. Binet позволяют рассчитать медиану выживаемости пациента в зависимости от величины опухолевой массы. Однако в реальной клинической практике параметр общей выживаемости пациента может значимо отличаться от расчетной медианы. Ввиду этого поиск параметров, влияющих на показатель общей выживаемости пациентов с ХЛЛ, представляет особую актуальность. Цель исследования – оценить возможность использования общеклинических параметров в качестве предикторов выживаемости больных ХЛЛ. Материалы и методы. Ретроспективно проанализированы данные 60 мужчин с ХЛЛ стадии A–C по Binet c известной общей выживаемостью. Для выявления значимых факторов, влияющих на общую выживаемость пациентов, использовали метод интеллектуального анализа данных. Пациенты были разделены на два непересекающихся класса: K1 (фактическая выживаемость меньше прогнозируемой медианы выживаемости) и K2 (фактическая выживаемость больше или равна прогнозируемой медиане выживаемости). Результаты. Наиболее значимые различия между классами были получены по показателю скорости клубочковой фильтрации. При значении параметра более 76,5 мл/мин/1,73 м2 можно говорить о том, что пациент преодолеет расчетные данные медианы выживаемости для соответствующей стадии ХЛЛ по Binet. В противном случае общая выживаемость пациента ХЛЛ будет меньше расчетной. Выводы. Наличие у пациента с ХЛЛ на момент постановки диагноза скорости клубочковой фильтрации более 76,5 мл/мин/1,73 м2 можно рассматривать в качестве предиктора преодоления расчетного параметра медианы выживаемости по Binet. Результаты полученных исследований запатентованы. Патент RU 2725877 C1 от 7.07.2020. Ключевые слова: общая выживаемость при ХЛЛ, мужчины, скорость клубочковой фильтрации, интеллектуальный анализ данных.

Chronic lymphocytic leukemia (CLL) is one of the most common lymphoproliferative diseases in the European population with an increase in the incidence in the elderly and senile age. However, it is among the elderly that a decrease in glomerular filtration rate (GFR) and concomitant chronic kidney disease (CKD) are associated with the severity in long-term prognosis. The aim of the study was to analyze CKD incidence and prognostic value in patients with CLL. Materials and Methods. CLL retrospective analysis was performed in 132 patients (60 men and 72 women). CKD was diagnosed according to the 2021-Guidelines of Russian Scientific Society of Nephrologists. Results. Among the examined patients, 64 (48.5 %) were diagnosed with CKD: stage C2 – in 23 patients. (17.4 %), stage C3a – in 41 patients. (31.1 %). CKD incidence in patients with CLL was higher than in the similar population without CLL. The authors revealed that there was no correlation between CLL stage and CKD severity. Survival analysis showed that only 43 patients (32.5 %) overcame the estimated Binet median survival. C3a in patients with CLL at the time of CKD diagnosis is strongly correlated with survival. Conclusion. CKD occurs in 48.5 % of patients with CLL. It has been established that C3a CKD worsens CLL patient survivability.