Malnutrition is associated with severe outcome in elderly patients hospitalised with COVID-19

• Published in: Scientific reports 2024-10, Vol.14 (1), p.24367-8, Article 24367
• Main Authors: Wang, Xiaoman, Ke, Jingyao, Cheng, Rui, Xian, Hongfei, Li, Jingyi, Chen, Yongsen, Wu, Bin, Han, Mengqi, Wu, Yifan, Jia, Weijie, Yu, Pengfei, Liu, Jianmo, Luo, Haowen, Yi, Yingping
• Format: Article
• Language: English
• Subjects: 631/250; 692/308; 692/499; 692/700; Aged; Aged, 80 and over; Controlling nutritional status score; COVID-19; COVID-19 - complications; COVID-19 - mortality; Elderly people; Female; Hospitalization; Humanities and Social Sciences; Humans; Illnesses; Male; Malnutrition; Malnutrition - complications; multidisciplinary; Nutrition Assessment; Nutritional Status; Patients; Prognosis; Prognostic nutritional index; Retrospective cohort study; Retrospective Studies; ROC Curve; SARS-CoV-2 - isolation & purification; Science; Science (multidisciplinary); Severity of Illness Index
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-024-76363-4

Some studies have identified influencing factors of COVID-19 illness in elderly, such as underlying diseases, but research on the effect of nutritional status is still lacking. This study retrospectively examined the influence of nutritional status on the outcome of elderly COVID-19 inpatients. A retrospective analysis of the clinical data of 4241 COVID-19 patients who were admitted to a third-class hospital of Nanchang between November 1, 2022 and January 31, 2023 was conducted. Nutritional status was assessed using the prognostic nutritional index (PNI) and controlling nutritional status score (CONUT). The influence of nutritional status on the outcome of COVID-19 patients was determined through multivariate adjustment analysis, restrictive cubic spline, and receiver operating characteristic curve (ROC). Compared with mild/no malnutrition, severe malnutrition substantially increased the critical outcome of COVID-19. A linear relationship was observed between the odds ratio (OR) and PNI and CONUT ( P  > 0.05). The area under the ROC curve indicated that PNI was the better predictor. The optimal cutoff value of PNI was 38.04 (95%CI: 0.797 ~ 0.836, AUC = 0.817), with a sensitivity of 70.7% and a specificity of 79.6%. The critical illness of elderly COVID-19 patients shows a linear relationship with malnutrition at admission. The use of PNI to assess the prognosis of COVID-19 eldeely patients is reliable, highlighting the importance for doctors to closely pay attention to the nutritional status of COVID-19 patients. Focusing on nutritional status in clinical practice can effectively reduce the critical illness of elderly COVID-19 patients.