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Prognostic Nutritional Index (PNI) as a potential predictor and intervention target for perioperative ischemic stroke: a retrospective cohort study

BACKGROUND: The prognostic nutritional index (PNI) is a nutritional indicator and predictor of various diseases. However it is unclear whether PNI can be a predictor of perioperative ischemic stroke. This study aims to evaluate the association of the preoperative PNI and ischemic stroke in patients...

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Autores principales: Liu, Min, Sun, Miao, Zhang, Ting, Li, Peng, Liu, Jin, Liu, Yanhong, Song, Yuxiang, Liu, Siyuan, Yang, Huikai, Zhou, Zhikang, Chang, Dandan, Wang, Guyan, Mi, Weidong, Ma, Yulong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413636/
https://www.ncbi.nlm.nih.gov/pubmed/37563630
http://dx.doi.org/10.1186/s12871-023-02216-8
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author Liu, Min
Sun, Miao
Zhang, Ting
Li, Peng
Liu, Jin
Liu, Yanhong
Song, Yuxiang
Liu, Siyuan
Yang, Huikai
Zhou, Zhikang
Chang, Dandan
Wang, Guyan
Mi, Weidong
Ma, Yulong
author_facet Liu, Min
Sun, Miao
Zhang, Ting
Li, Peng
Liu, Jin
Liu, Yanhong
Song, Yuxiang
Liu, Siyuan
Yang, Huikai
Zhou, Zhikang
Chang, Dandan
Wang, Guyan
Mi, Weidong
Ma, Yulong
author_sort Liu, Min
collection PubMed
description BACKGROUND: The prognostic nutritional index (PNI) is a nutritional indicator and predictor of various diseases. However it is unclear whether PNI can be a predictor of perioperative ischemic stroke. This study aims to evaluate the association of the preoperative PNI and ischemic stroke in patients undergoing non-cardiac surgery. METHODS: The retrospective cohort study included patients who underwent noncardiac surgery between January 2008 and August 2019. The patients were divided into PNI ≥ 38.8 and PNI < 38.8 groups according to the cut-off value of PNI. Univariate and multivariate logistic regression analyses were performed to explore the association between PNI and perioperative ischemic stroke. Subsequently, propensity score matching (PSM) analysis was performed to eliminate the confounding factors of covariates and further validate the results. Subgroup analyses were completed to assess the predictive utility of PNI for perioperative ischemic stroke in different groups. RESULTS: Amongst 221,542 hospitalized patients enrolled, 485 (0.22%) experienced an ischemic stroke within 30 days of the surgery, 22.1% of patients were malnourished according to PNI < 38.8, and the occurrence of perioperative ischemic stroke was 0.34% (169/49055) in the PNI < 38.8 group. PNI < 38.8 was significantly associated with an increased incidence of perioperative ischemic stroke whether in univariate logistic regression analysis (OR = 1.884, 95% CI: 1.559—2.267, P < 0.001) or multivariate logistic regression analysis (OR = 1.306, 95% CI: 1.061—1.602, P = 0.011). After PSM analysis, the ORs of PNI < 38.8 group were 1.250 (95% CI: 1.000–1.556, P = 0.050) and 1.357 (95% CI: 1.077–1.704, P = 0.009) in univariate logistic regression analysis and multivariate logistic regression analysis respectively. The subgroup analysis indicated that reduced PNI was significantly associated to an increased risk of perioperative ischemic stroke in patients over 65 years old, ASA II, not taking aspirin before surgery, without a history of stroke, who had neurosurgery, non-emergency surgery, and were admitted to ICU after surgery. CONCLUSIONS: Our study indicates that low preoperative PNI is significantly associated with a higher incidence of ischemic stroke in patients undergoing non-cardiac surgery. Preoperative PNI, as a preoperative nutritional status evaluation index, is an independent risk factor useful to predict perioperative ischemic stroke risk, which could be used as an intervenable preoperative clinical biochemical index to reduce the incidence of perioperative ischemic stroke. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12871-023-02216-8.
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spelling pubmed-104136362023-08-11 Prognostic Nutritional Index (PNI) as a potential predictor and intervention target for perioperative ischemic stroke: a retrospective cohort study Liu, Min Sun, Miao Zhang, Ting Li, Peng Liu, Jin Liu, Yanhong Song, Yuxiang Liu, Siyuan Yang, Huikai Zhou, Zhikang Chang, Dandan Wang, Guyan Mi, Weidong Ma, Yulong BMC Anesthesiol Research BACKGROUND: The prognostic nutritional index (PNI) is a nutritional indicator and predictor of various diseases. However it is unclear whether PNI can be a predictor of perioperative ischemic stroke. This study aims to evaluate the association of the preoperative PNI and ischemic stroke in patients undergoing non-cardiac surgery. METHODS: The retrospective cohort study included patients who underwent noncardiac surgery between January 2008 and August 2019. The patients were divided into PNI ≥ 38.8 and PNI < 38.8 groups according to the cut-off value of PNI. Univariate and multivariate logistic regression analyses were performed to explore the association between PNI and perioperative ischemic stroke. Subsequently, propensity score matching (PSM) analysis was performed to eliminate the confounding factors of covariates and further validate the results. Subgroup analyses were completed to assess the predictive utility of PNI for perioperative ischemic stroke in different groups. RESULTS: Amongst 221,542 hospitalized patients enrolled, 485 (0.22%) experienced an ischemic stroke within 30 days of the surgery, 22.1% of patients were malnourished according to PNI < 38.8, and the occurrence of perioperative ischemic stroke was 0.34% (169/49055) in the PNI < 38.8 group. PNI < 38.8 was significantly associated with an increased incidence of perioperative ischemic stroke whether in univariate logistic regression analysis (OR = 1.884, 95% CI: 1.559—2.267, P < 0.001) or multivariate logistic regression analysis (OR = 1.306, 95% CI: 1.061—1.602, P = 0.011). After PSM analysis, the ORs of PNI < 38.8 group were 1.250 (95% CI: 1.000–1.556, P = 0.050) and 1.357 (95% CI: 1.077–1.704, P = 0.009) in univariate logistic regression analysis and multivariate logistic regression analysis respectively. The subgroup analysis indicated that reduced PNI was significantly associated to an increased risk of perioperative ischemic stroke in patients over 65 years old, ASA II, not taking aspirin before surgery, without a history of stroke, who had neurosurgery, non-emergency surgery, and were admitted to ICU after surgery. CONCLUSIONS: Our study indicates that low preoperative PNI is significantly associated with a higher incidence of ischemic stroke in patients undergoing non-cardiac surgery. Preoperative PNI, as a preoperative nutritional status evaluation index, is an independent risk factor useful to predict perioperative ischemic stroke risk, which could be used as an intervenable preoperative clinical biochemical index to reduce the incidence of perioperative ischemic stroke. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12871-023-02216-8. BioMed Central 2023-08-10 /pmc/articles/PMC10413636/ /pubmed/37563630 http://dx.doi.org/10.1186/s12871-023-02216-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Liu, Min
Sun, Miao
Zhang, Ting
Li, Peng
Liu, Jin
Liu, Yanhong
Song, Yuxiang
Liu, Siyuan
Yang, Huikai
Zhou, Zhikang
Chang, Dandan
Wang, Guyan
Mi, Weidong
Ma, Yulong
Prognostic Nutritional Index (PNI) as a potential predictor and intervention target for perioperative ischemic stroke: a retrospective cohort study
title Prognostic Nutritional Index (PNI) as a potential predictor and intervention target for perioperative ischemic stroke: a retrospective cohort study
title_full Prognostic Nutritional Index (PNI) as a potential predictor and intervention target for perioperative ischemic stroke: a retrospective cohort study
title_fullStr Prognostic Nutritional Index (PNI) as a potential predictor and intervention target for perioperative ischemic stroke: a retrospective cohort study
title_full_unstemmed Prognostic Nutritional Index (PNI) as a potential predictor and intervention target for perioperative ischemic stroke: a retrospective cohort study
title_short Prognostic Nutritional Index (PNI) as a potential predictor and intervention target for perioperative ischemic stroke: a retrospective cohort study
title_sort prognostic nutritional index (pni) as a potential predictor and intervention target for perioperative ischemic stroke: a retrospective cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413636/
https://www.ncbi.nlm.nih.gov/pubmed/37563630
http://dx.doi.org/10.1186/s12871-023-02216-8
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