3种营养指数预测慢性阻塞性肺疾病患者全因死亡率的研究
麦苏颖 , 南亚昀 , 王蔚 , 吴院波 , 陈琼
重庆医科大学学报 ›› 2025, Vol. 50 ›› Issue (03) : 344 -351.
3种营养指数预测慢性阻塞性肺疾病患者全因死亡率的研究
Three nutritional indices are effective predictors of all-cause mortality in patients with chronic obstructive pulmonary disease
Objective Malnutrition is prevalent among patients with chronic obstructive pulmonary disease(COPD) and closely associated with adverse outcomes. This study aimed to evaluate the effectiveness of three nutritional indices in predicting all-cause mortality among COPD patients. Methods Based on the National Health and Nutrition Examination Survey(NHANES),this study included 1640 patients with COPD surveyed from 1999 to 2018. The optimal cutoff values for controlling nutritional status(CONUT) score,geriatric nutritional risk index(GNRI),and prognostic nutritional index(PNI) were determined using receiver operating characteristic curves. The predictive value of these nutritional indices was assessed using the area under the receiver operating characteristic curve and C-index. Their predictive abilities were compared using the net reclassification improvement and integrated discrimination improvement. A Cox regression analysis was conducted to explore the association of the three nutritional indices with all-cause mortality. Results Log-rank tests revealed lower overall survival rates in patients with higher nutritional risks(P<0.001). In multivariate Cox regression adjusting for all covariates,CONUT score(hazard ratio [HR]=1.31,95%CI=1.03-1.67,P=0.030),GNRI(HR=2.02,95%CI=1.26-3.24,P=0.004),and PNI(HR=2.05,95%CI=1.53-2.75,P<0.001) were independently associated with all-cause mortality. Conclusion This study confirms that the three nutritional indices are effective predictors of all-cause mortality in COPD patients. Compared with PNI,CONUT score and GNRI demonstrate improved predictive abilities,and they are recommended for routine screening for high-risk malnutrition in COPD patients.
慢性阻塞性肺疾病 / 营养不良 / 全因死亡率 / 营养评价 / 美国国家健康与营养调查数据库
chronic obstructive pulmonary disease / malnutrition / all-cause mortality / nutrition assessment / NHANES database
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