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Comparison of the Predictive Value of Four Nutritional Evaluation Methods for Postoperative Complications of Lumbar Degenerative Diseases

Authors :
ZENG Li, WANG Huihui, WANG Xiaoyu, GONG Weiyi, HU Chunqiu
Source :
Zhongguo quanke yixue, Vol 27, Iss 11, Pp 1349-1355 (2024)
Publication Year :
2024
Publisher :
Chinese General Practice Publishing House Co., Ltd, 2024.

Abstract

Background The occurrence of postoperative complications in lumbar degenerative disease (LDD) is closely related to malnutrition, and currently there is a lack of nutritional evaluation methods that can effectively, objectively, and comprehensively assess the nutritional status of LDD patients and predict the occurrence of postoperative complications. Objective To compare the predictive value of four nutritional evaluation methods of Prognostic Nutritional Index (PNI), Controlling Nutritional Status (CONUT), Naples Prognostic Score (NPS) and High-sensitivity Modified Glasgow Prognostic Score (HS-mGPS) for postoperative complications in patients with LDD, so as to formulate a precise nutritional intervention plan and effectively prevent complications. Methods A total of 201 patients diagnosed with LDD and underwent open surgery in Spine Surgery Department of Xiangya Hospital of Central South University from December 2021 to July 2022 were selected as the study subjects, four nutritional evaluation methods of PNI, CONUT, NPS and HS-mGPS were applied to assess the preoperative nutritional status of the patients, respectively, and occurrence of postoperative complications from postoperative period to hospital discharge were observed. The patients were divided into the complication group and non-complication group according to the occurrence of postoperative complications to analyze and compare the difference in clinical characteristics between the two groups; the optimal cut-off values of different nutritional evaluation methods were calculated by plotting the receiver operating characteristic (ROC) curve, and the prediction efficiency of different evaluation methods was compared, the area under curve (AUC) was compared by using MedCalc software. Multivariate Logistic regression model was used to analyze the correlation between different nutritional evaluation methods and postoperative complications. Results Postoperative complications occurred in 60 patients with an incidence rate of 29.8%. The comparison of clinical characteristics data showed statistically significant differences in age, gender, intraoperative bleeding, surgical segment, PNI, CONUT, and NPS scores between the complication group and non-complication group (P

Details

Language :
Chinese
ISSN :
10079572
Volume :
27
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Zhongguo quanke yixue
Publication Type :
Academic Journal
Accession number :
edsdoj.f4902c4079f441aeb760be849a8e294f
Document Type :
article
Full Text :
https://doi.org/10.12114/j.issn.1007-9572.2023.0410