低骨骼肌质量对急性髓系白血病患者 NK 细胞的影响及其与预后的相关性

The objective of this study was to analyze the correlation between skeletal muscle mass and the distribution of peripheral blood lymphocytes and natural killer (NK) cells, as well as their impact on prognosis in patients with acute myeloid leukemia (AML). A retrospective analysis was conducted on 211 newly diagnosed AML patients, evaluating skeletal muscle index (SMI), NK cell proportion, and absolute value, along with relevant clinical data. Linear regression and Spearman's correlation coefficient were used to assess the relationship between various indicators and SMI, followed by multiple linear regression for further modeling. Univariate and multivariate Cox proportional hazards regression models were used to identify independent predictors for overall survival (OS).

Among the 211 AML patients, 38 cases (18. 0%) were diagnosed with sarcopenia. Multiple linear regression analysis included weight, fat mass, ECOG score, body mass index, and peripheral blood NK cell proportion, constructing a correlation model for SMI (R 2 = 0. 745). Univariate analysis identified higher NK cell count (> 9. 53 × 10 6 /L) as a poor predictor for OS.

Multivariate Cox proportional hazards regression model indicated that age ≥ 60 years, PLT < 100 × 10 9 /L, ELN high risk, sarcopenia, and B cell count > 94. 6 × 10 6 /L were independent adverse prognostic factors for AML patients. Low skeletal muscle mass may negatively impact the count and function of NK cells, thereby affecting the prognosis of AML.

However, further basic and clinical research is needed to explore the specific mechanisms underlying the relationship between NK cells and SMI in AML.