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Inflammatory and nutritional markers predict the risk of post-operative delirium in elderly patients following total hip arthroplasty

OBJECTIVES: This study intended to explore whether albumin-associated inflammatory and nutritional markers could predict post-operative delirium (POD) in older patients after total hip arthroplasty (THA). In addition, we established a nomogram model for POD prediction. METHODS: Totally, 254 elderly...

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Autores principales: Hu, Wenhao, Song, Ziyi, Shang, Houlai, Wang, Jingcheng, Hao, Yuedong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651730/
https://www.ncbi.nlm.nih.gov/pubmed/38024358
http://dx.doi.org/10.3389/fnut.2023.1158851
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author Hu, Wenhao
Song, Ziyi
Shang, Houlai
Wang, Jingcheng
Hao, Yuedong
author_facet Hu, Wenhao
Song, Ziyi
Shang, Houlai
Wang, Jingcheng
Hao, Yuedong
author_sort Hu, Wenhao
collection PubMed
description OBJECTIVES: This study intended to explore whether albumin-associated inflammatory and nutritional markers could predict post-operative delirium (POD) in older patients after total hip arthroplasty (THA). In addition, we established a nomogram model for POD prediction. METHODS: Totally, 254 elderly cases who received THA were included. Clinical and laboratory data of these patients were retrospectively collected. Albumin-associated inflammatory and nutritional markers included neutrophil-to-albumin ratio (NAR), CRP-to-albumin ratio (CAR), prognostic nutritional index (PNI), and systemic inflammation score (SIS). The LASSO, univariate and multivariate logistic regression analyses were utilized to screen risk factors. A nomogram model was developed according to the results of multivariate regression analyses. RESULTS: Among 254 patients, 49 cases had POD with an incidence of 19.3%. LASSO regression and multivariate logistic analyses suggested that preoperative NAR, preoperative PNI, preoperative SIS, and age >75 years were risk factors for POD. A nomogram model was developed according to the results of multivariate logistic analyses. The calibration curve suggested that the predicted probability of this nomogram model was in good line with the actual probability. The DCA showed that this nomogram model had net benefits for the prediction of POD for elderly patients following THA. CONCLUSION: Albumin-associated inflammatory and nutritional markers including NAR, PNI, and SIS could predict POD in elderly patients following THA.
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spelling pubmed-106517302023-01-01 Inflammatory and nutritional markers predict the risk of post-operative delirium in elderly patients following total hip arthroplasty Hu, Wenhao Song, Ziyi Shang, Houlai Wang, Jingcheng Hao, Yuedong Front Nutr Nutrition OBJECTIVES: This study intended to explore whether albumin-associated inflammatory and nutritional markers could predict post-operative delirium (POD) in older patients after total hip arthroplasty (THA). In addition, we established a nomogram model for POD prediction. METHODS: Totally, 254 elderly cases who received THA were included. Clinical and laboratory data of these patients were retrospectively collected. Albumin-associated inflammatory and nutritional markers included neutrophil-to-albumin ratio (NAR), CRP-to-albumin ratio (CAR), prognostic nutritional index (PNI), and systemic inflammation score (SIS). The LASSO, univariate and multivariate logistic regression analyses were utilized to screen risk factors. A nomogram model was developed according to the results of multivariate regression analyses. RESULTS: Among 254 patients, 49 cases had POD with an incidence of 19.3%. LASSO regression and multivariate logistic analyses suggested that preoperative NAR, preoperative PNI, preoperative SIS, and age >75 years were risk factors for POD. A nomogram model was developed according to the results of multivariate logistic analyses. The calibration curve suggested that the predicted probability of this nomogram model was in good line with the actual probability. The DCA showed that this nomogram model had net benefits for the prediction of POD for elderly patients following THA. CONCLUSION: Albumin-associated inflammatory and nutritional markers including NAR, PNI, and SIS could predict POD in elderly patients following THA. Frontiers Media S.A. 2023-11-02 /pmc/articles/PMC10651730/ /pubmed/38024358 http://dx.doi.org/10.3389/fnut.2023.1158851 Text en Copyright © 2023 Hu, Song, Shang, Wang and Hao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Hu, Wenhao
Song, Ziyi
Shang, Houlai
Wang, Jingcheng
Hao, Yuedong
Inflammatory and nutritional markers predict the risk of post-operative delirium in elderly patients following total hip arthroplasty
title Inflammatory and nutritional markers predict the risk of post-operative delirium in elderly patients following total hip arthroplasty
title_full Inflammatory and nutritional markers predict the risk of post-operative delirium in elderly patients following total hip arthroplasty
title_fullStr Inflammatory and nutritional markers predict the risk of post-operative delirium in elderly patients following total hip arthroplasty
title_full_unstemmed Inflammatory and nutritional markers predict the risk of post-operative delirium in elderly patients following total hip arthroplasty
title_short Inflammatory and nutritional markers predict the risk of post-operative delirium in elderly patients following total hip arthroplasty
title_sort inflammatory and nutritional markers predict the risk of post-operative delirium in elderly patients following total hip arthroplasty
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651730/
https://www.ncbi.nlm.nih.gov/pubmed/38024358
http://dx.doi.org/10.3389/fnut.2023.1158851
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