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Controlling Nutritional Status (CONUT) score as a predictor of all-cause mortality in elderly hypertensive patients: a prospective follow-up study

OBJECTIVES: The aim of this study was to elucidate the impact of nutritional status on survival per Controlling Nutritional Status (CONUT) score and Geriatric Nutritional Risk Index (GNRI) in patients with hypertension over 80 years of age. DESIGN: Prospective follow-up study. PARTICIPANTS: A total...

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Autores principales: Sun, Xiaonan, Luo, Leiming, Zhao, Xiaoqian, Ye, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5623525/
https://www.ncbi.nlm.nih.gov/pubmed/28928176
http://dx.doi.org/10.1136/bmjopen-2016-015649
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author Sun, Xiaonan
Luo, Leiming
Zhao, Xiaoqian
Ye, Ping
author_facet Sun, Xiaonan
Luo, Leiming
Zhao, Xiaoqian
Ye, Ping
author_sort Sun, Xiaonan
collection PubMed
description OBJECTIVES: The aim of this study was to elucidate the impact of nutritional status on survival per Controlling Nutritional Status (CONUT) score and Geriatric Nutritional Risk Index (GNRI) in patients with hypertension over 80 years of age. DESIGN: Prospective follow-up study. PARTICIPANTS: A total of 336 hypertensive patients over 80 years old were included in this study. OUTCOME MEASURES: All-cause deaths were recorded as Kaplan-Meier curves to evaluate the association between CONUT and all-cause mortality at follow-up. Cox regression models were used to investigate the prognostic value of CONUT and GNRI for all-cause mortality in the 90-day period after admission. RESULTS: Hypertensive patients with higher CONUT scores exhibited higher mortality within 90 days after admission (1.49%, 6.74%, 15.38%, respectively, χ(2)=30.92, p=0.000). Surviving patients had higher body mass index (24.25±3.05 vs 24.25±3.05, p=0.012), haemoglobin (123.78±17.05 vs 115.07±20.42, p=0.040) and albumin levels, as well as lower fasting blood glucose (6.90±2.48 vs 8.24±3.51, p=0.010). Higher GRNI score (99.42±6.55 vs 95.69±7.77, p=0.002) and lower CONUT (3.13±1.98 vs 5.14±2.32) both indicated better nutritional status. Kaplan-Meier curves indicated that survival rates were significantly worse in the high-CONUT group compared with the low-CONUT group (χ(1) =13.372, p=0.001). Cox regression indicated an increase in HR with increasing CONUT risk (from normal to moderate to severe). HRs (95% CI) for 3-month mortality was 1.458 (95% CI 1.102 to 1.911). In both respiratory tract infection and ‘other reason’ groups, only CONUT was a sufficiently predictor for all-cause mortality (HR=1.284, 95% CI 1.013 to 1.740, p=0.020 and HR=1.841, 95% CI 1.117 to 4.518, p=0.011). Receiver operating characteristic showed that CONUT higher than 3.0 was found to predict all-cause mortality with a sensitivity of 77.8% and a specificity of 64.7% (area under the curve=0.778, p<0.001). CONCLUSION: Nutritional status assessed via CONUT is an accurate predictor of all-cause mortality 90 days postadmission. Evaluation of nutritional status may provide additional prognostic information in hypertensive patients.
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spelling pubmed-56235252017-10-10 Controlling Nutritional Status (CONUT) score as a predictor of all-cause mortality in elderly hypertensive patients: a prospective follow-up study Sun, Xiaonan Luo, Leiming Zhao, Xiaoqian Ye, Ping BMJ Open Cardiovascular Medicine OBJECTIVES: The aim of this study was to elucidate the impact of nutritional status on survival per Controlling Nutritional Status (CONUT) score and Geriatric Nutritional Risk Index (GNRI) in patients with hypertension over 80 years of age. DESIGN: Prospective follow-up study. PARTICIPANTS: A total of 336 hypertensive patients over 80 years old were included in this study. OUTCOME MEASURES: All-cause deaths were recorded as Kaplan-Meier curves to evaluate the association between CONUT and all-cause mortality at follow-up. Cox regression models were used to investigate the prognostic value of CONUT and GNRI for all-cause mortality in the 90-day period after admission. RESULTS: Hypertensive patients with higher CONUT scores exhibited higher mortality within 90 days after admission (1.49%, 6.74%, 15.38%, respectively, χ(2)=30.92, p=0.000). Surviving patients had higher body mass index (24.25±3.05 vs 24.25±3.05, p=0.012), haemoglobin (123.78±17.05 vs 115.07±20.42, p=0.040) and albumin levels, as well as lower fasting blood glucose (6.90±2.48 vs 8.24±3.51, p=0.010). Higher GRNI score (99.42±6.55 vs 95.69±7.77, p=0.002) and lower CONUT (3.13±1.98 vs 5.14±2.32) both indicated better nutritional status. Kaplan-Meier curves indicated that survival rates were significantly worse in the high-CONUT group compared with the low-CONUT group (χ(1) =13.372, p=0.001). Cox regression indicated an increase in HR with increasing CONUT risk (from normal to moderate to severe). HRs (95% CI) for 3-month mortality was 1.458 (95% CI 1.102 to 1.911). In both respiratory tract infection and ‘other reason’ groups, only CONUT was a sufficiently predictor for all-cause mortality (HR=1.284, 95% CI 1.013 to 1.740, p=0.020 and HR=1.841, 95% CI 1.117 to 4.518, p=0.011). Receiver operating characteristic showed that CONUT higher than 3.0 was found to predict all-cause mortality with a sensitivity of 77.8% and a specificity of 64.7% (area under the curve=0.778, p<0.001). CONCLUSION: Nutritional status assessed via CONUT is an accurate predictor of all-cause mortality 90 days postadmission. Evaluation of nutritional status may provide additional prognostic information in hypertensive patients. BMJ Publishing Group 2017-09-18 /pmc/articles/PMC5623525/ /pubmed/28928176 http://dx.doi.org/10.1136/bmjopen-2016-015649 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Cardiovascular Medicine
Sun, Xiaonan
Luo, Leiming
Zhao, Xiaoqian
Ye, Ping
Controlling Nutritional Status (CONUT) score as a predictor of all-cause mortality in elderly hypertensive patients: a prospective follow-up study
title Controlling Nutritional Status (CONUT) score as a predictor of all-cause mortality in elderly hypertensive patients: a prospective follow-up study
title_full Controlling Nutritional Status (CONUT) score as a predictor of all-cause mortality in elderly hypertensive patients: a prospective follow-up study
title_fullStr Controlling Nutritional Status (CONUT) score as a predictor of all-cause mortality in elderly hypertensive patients: a prospective follow-up study
title_full_unstemmed Controlling Nutritional Status (CONUT) score as a predictor of all-cause mortality in elderly hypertensive patients: a prospective follow-up study
title_short Controlling Nutritional Status (CONUT) score as a predictor of all-cause mortality in elderly hypertensive patients: a prospective follow-up study
title_sort controlling nutritional status (conut) score as a predictor of all-cause mortality in elderly hypertensive patients: a prospective follow-up study
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5623525/
https://www.ncbi.nlm.nih.gov/pubmed/28928176
http://dx.doi.org/10.1136/bmjopen-2016-015649
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