Practical Geriatrics ›› 2022, Vol. 36 ›› Issue (6): 565-569.doi: 10.3969/j.issn.1003-9198.2022.06.005

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Predictive value of neutrophil to lymphocyte ratio combined with body mass index for decreased muscle mass in elderly patients with chronic heart failure

YIN Ji-xia, LIU Jia, HU Song, WANG Mei, WANG Yi-ru, MAO Yong-jun   

  1. YIN Ji-xia, LIU Jia, HU Song, WANG Yi-ru, MAO Yong-jun. Department of Geriatrics, the Affiliated Hospital of Qingdao University, Qingdao 266000, China;
    WANG Mei. Department of Geriatrics, the Eighth People’s Hospital of Qingdao, Qingdao 266000, China
  • Received:2021-11-01 Online:2022-06-20 Published:2022-06-30

Abstract: Objective To investigate the predictive value of neutrophil to lymphocyte ratio (NLR) combined with body mass index (BMI) for decreased muscle mass in the elderly patients with chronic heart failure (CHF). Methods A total of 94 CHF patients aged≥65 years old who were hospitalized from January 2018 to August 2021 in Department of Geriatrics of the Affiliated Hospital of Qingdao University and the Eighth People’s Hospital of Qingdao were selected. According to the diagnostic criteria set by Asian Sarcopenia Working Group in 2019, the patients were divided into muscle mass loss group(n=29) and non-muscle mass loss group (n=65). The general data and laboratory indicators of the patients in different groups and different cardiac function grades were compared. The risk factors for decreased muscle mass in the elderly patients with CHF were analyzed by multivariate Logistic regression. The predictive value of NLR and BMI for decreased muscle mass in the elderly patients with CHF was evaluatd by receiver operating characteristic (ROC) curve. Results There were statistically significant differences in age, gender, nutrition risk screening (NRS2002) score, NLR, BMI and lymphocyte count between muscle mass loss group and non-muscle mass loss group (P<0.05). There were statistically significant differences in age, NRS2002, NLR, N-terminal pro-B-type natriuretic peptide,BMI, left ventricular ejection fractions (LVEF) and skeletal muscle index (SMI) among the patients with different cardiac function grades (P<0.05). Logistic regression analysis showed that BMI (OR=0.764, 95%CI:0.600-0.972) and NLR(OR=2.266,95%CI:1.092-4.704) were the independent influencing factors for muscle mass loss. ROC curve analysis suggested that the area under the curve (AUC) of NLR and BMI was 0.764 (95%CI:0.660-0.868) and 0.726 (95%CI:0.613-0.839) in predicting muscle mass loss, respectively, and the AUC of NLR combined with BMI was 0.845 (95%CI:0.759-0.932) in predicting muscle mass loss, with a sensitivity of 82.8%, and a specificity of 81.2%. Conclusions NLR and BMI are the independent influencing factors for decreased muscle mass in the elderly patients with CHF, and the combination of NLR and BMI shows higher predictive value for decreased muscle mass.

Key words: aged, chronic heart failure, neutrophil to lymphocyte ratio, body mass index, muscle mass loss

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