LIU Bo 1,2 , YOU Junjie 1 , CHEN Mengling 1 , ZHENG Silin 3 , HUANG Min 2
  • 1. School of Nursing, Southwest Medical University, Luzhou, Sichuan 646000, P. R. China;
  • 2. Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, P. R. China;
  • 3. Nursing Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, P. R. China;
HUANG Min, Email: hm20140313@163.com
Prognostic nutritional index; chronic obstructive pulmonary disease; intensive care unit; nutritional indicators; prognosis; predictive factors
10.7507/1671-6205.202311033
Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables References Cited by

Objective  To investigate the predictive value of the prognostic nutritional index (PNI) for 28-day all-cause mortality in patients with chronic obstructive pulmonary disease (COPD) in intensive care unit (ICU). Methods  The relationship between PNI and short-term mortality in COPD patients was analysed using COX proportional hazards and restricted cubic spline (RCS) models. Receiver operating characteristic (ROC) curves were plotted and area under the ROC curve (AUC) was calculated to assess the predictive performance of PNI. The optimal cut-off value for PNI was determined using the Youden index, and the data were divided into a low PNI group and a high PNI group. Kaplan-Meier curves were then constructed and the log-rank test was used to assess differences in survival between the two groups. Results  A total of 980 COPD patients were included in the study. Multivariable COX regression analysis showed that PNI was an independent factor influencing short-term mortality in the severe COPD patients (HR=0.972, 95%CI 0.948 - 0.995, P=0.019). RCS curve results showed a non-linear relationship between PNI and short-term mortality in the severe COPD patients (P for non-linear=0.032), with the risk of death gradually decreasing as PNI increased. The ROC curve indicated that PNI had some predictive power, comparable to that of SOFA score [(AUCPNI=0.693) vs. (AUCSOFA=0.672)]. Kaplan-Meier curve analysis showed a significant difference in survival time between the low (≤38.3) PNI group and the high (>38.3) PNI group (P<0.05). Conclusions  PNI has a certain predictive role for short-term all-cause mortality in patients with severe COPD. Patients with low PNI at ICU admission have a higher risk of short-term mortality.

Citation： LIU Bo, YOU Junjie, CHEN Mengling, ZHENG Silin, HUANG Min. The impact of prognostic nutritional index on short-term prognosis in critically chronic obstructive pulmonary disease patients. Chinese Journal of Respiratory and Critical Care Medicine, 2024, 23(3): 160-165. doi: 10.7507/1671-6205.202311033 Copy

  • Previous Article

    Interpretable machine learning-based prognostic model for severe chronic obstructive pulmonary disease

  • Next Article

    Serum lncRNA MIAT and miR-515-5p expression levels and clinical significance in elderly patients with chronic obstructive pulmonary disease at different periods