Affiliation:
1. The First Affiliated Hospital of Zhengzhou University
Abstract
Abstract
Prognostic Nutritional Index (PNI) in identifying malnutrition and predicting prognosis in AECOPD patients.
Design: Retrospective cohort study
Setting and participants: The research encompassed a cohort of 839 individuals aged 60 years and above, who were admitted to the First Affiliated Hospital of Zhengzhou University during the period spanning January 2022 to December 2022, owing to acute exacerbation of chronic obstructive pulmonary disease (AECOPD).
Methods: From January 2022 to December 2022, a consecutive inclusion of AECOPD patients admitted to the First Affiliated Hospital of Zhengzhou University was conducted. The Global Leadership Initiative on Malnutrition (GLIM) defined malnutrition was detected by calculating the GNRI and the PNI using Receiver Operating Characteristic curves. Logistic regression analysis was employed to assess the risks associated with length of stay (LOS), hospitalization costs, and Charlson Comorbidity Index (CCI) based on GLIM, GNRI, or PNI.
Results: A total of 839 AECOPD patients were investigated in the study. The GNRI and PNI demonstrated a sensitivity of 89.5% and 74.1%, specificity of 77.2% and 66.4%, and an area under the curve of 0.834 and 0.702, respectively. The identification of high malnutrition-risk cases using the GLIM, GNRI and PNI were associated with a significant increase in the risk of LOS over 7 days [odds ratio (95% CI for GLIM, GNRI, PNI: 1.376 (1.033-1.833); 1.405 (1.070-1.846); 1.875 (1.425-2.468)] and higher hospitalization expenses [OR (95% CI) for GLIM, GNRI: 1.498 (1.080-2.080) ;1.510 (1.097-2.079)], but not with the CCI.
Conclusion: The utilization of GNRI and PNI as alternatives to GLIM in the context of AECOPD enables the identification of malnutrition. The presence of malnourished individuals experiencing AECOPD is correlated with heightened probabilities of extended hospital stays and escalated hospitalization costs.
Publisher
Research Square Platform LLC