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A Clinical Epidemiological Analysis of Prognostic Nutritional Index Associated with Diabetic Retinopathy

PURPOSE: Prognostic nutritional index (PNI) is an effective tool to evaluate the nutritional conditions and predict prognosis, but clinical data are limited for the use of PNI in diabetic retinopathy (DR). This study aimed to investigate the relationship of PNI with the prevalence and severity of DR...

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Autores principales: Yang, Lijuan, Yu, Weihui, Pan, Wei, Chen, Shuoping, Ye, Xiwen, Gu, Xuejiang, Hu, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7920509/
https://www.ncbi.nlm.nih.gov/pubmed/33658818
http://dx.doi.org/10.2147/DMSO.S295757
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author Yang, Lijuan
Yu, Weihui
Pan, Wei
Chen, Shuoping
Ye, Xiwen
Gu, Xuejiang
Hu, Xiang
author_facet Yang, Lijuan
Yu, Weihui
Pan, Wei
Chen, Shuoping
Ye, Xiwen
Gu, Xuejiang
Hu, Xiang
author_sort Yang, Lijuan
collection PubMed
description PURPOSE: Prognostic nutritional index (PNI) is an effective tool to evaluate the nutritional conditions and predict prognosis, but clinical data are limited for the use of PNI in diabetic retinopathy (DR). This study aimed to investigate the relationship of PNI with the prevalence and severity of DR in patients with type 2 diabetes mellitus (T2DM). PATIENTS AND METHODS: This cross-sectional analysis enrolled 1023 individuals with T2DM hospitalized between 2017–2020. PNI was calculated as 10 × serum albumin (g/l) + 0.005 × total lymphocyte count (cells/mL). DR severity was categorized as no, nonproliferative, and vision-threatened DR (VTDR) according to the modified Airlie House classification. Multivariate-adjusted odds ratio (OR) with 95% confidence interval (CI) for the prevalent DR in the top (Q4) compared with the bottom quartile (Q1) of PNI levels were estimated by using logistic regression analyses. RESULTS: PNI levels were significantly lower in individuals with VTDR than those with no and nonproliferative DR (both P < 0.001), and the proportions of individuals with DR were significantly decreased in the top quartile compared with the bottom quartile of PNI levels (P < 0.001). After adjustments for age, gender, DM duration, obesity-related risk factors and clinical biochemical parameters, the higher levels of PNI were significantly associated with a lower prevalence of DR (Q4 vs Q1: OR = 0.402, 95% CI: 0.250–0.649, P < 0.001), with a 5.9% reduction in the prevalence of DR for a per-unit increment in the levels of PNI (OR = 0.941, 95% CI: 0.911–0.972, P < 0.001). The association of PNI and obesity-related indexes (body mass index and waist circumference) with the severity of DR was independent of each other (P<0.001). CONCLUSION: PNI was inversely and independently associated with the severity and prevalence of DR, which suggested that PNI could likely be used to predict DR prognosis in clinical practice.
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spelling pubmed-79205092021-03-02 A Clinical Epidemiological Analysis of Prognostic Nutritional Index Associated with Diabetic Retinopathy Yang, Lijuan Yu, Weihui Pan, Wei Chen, Shuoping Ye, Xiwen Gu, Xuejiang Hu, Xiang Diabetes Metab Syndr Obes Original Research PURPOSE: Prognostic nutritional index (PNI) is an effective tool to evaluate the nutritional conditions and predict prognosis, but clinical data are limited for the use of PNI in diabetic retinopathy (DR). This study aimed to investigate the relationship of PNI with the prevalence and severity of DR in patients with type 2 diabetes mellitus (T2DM). PATIENTS AND METHODS: This cross-sectional analysis enrolled 1023 individuals with T2DM hospitalized between 2017–2020. PNI was calculated as 10 × serum albumin (g/l) + 0.005 × total lymphocyte count (cells/mL). DR severity was categorized as no, nonproliferative, and vision-threatened DR (VTDR) according to the modified Airlie House classification. Multivariate-adjusted odds ratio (OR) with 95% confidence interval (CI) for the prevalent DR in the top (Q4) compared with the bottom quartile (Q1) of PNI levels were estimated by using logistic regression analyses. RESULTS: PNI levels were significantly lower in individuals with VTDR than those with no and nonproliferative DR (both P < 0.001), and the proportions of individuals with DR were significantly decreased in the top quartile compared with the bottom quartile of PNI levels (P < 0.001). After adjustments for age, gender, DM duration, obesity-related risk factors and clinical biochemical parameters, the higher levels of PNI were significantly associated with a lower prevalence of DR (Q4 vs Q1: OR = 0.402, 95% CI: 0.250–0.649, P < 0.001), with a 5.9% reduction in the prevalence of DR for a per-unit increment in the levels of PNI (OR = 0.941, 95% CI: 0.911–0.972, P < 0.001). The association of PNI and obesity-related indexes (body mass index and waist circumference) with the severity of DR was independent of each other (P<0.001). CONCLUSION: PNI was inversely and independently associated with the severity and prevalence of DR, which suggested that PNI could likely be used to predict DR prognosis in clinical practice. Dove 2021-02-25 /pmc/articles/PMC7920509/ /pubmed/33658818 http://dx.doi.org/10.2147/DMSO.S295757 Text en © 2021 Yang et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Yang, Lijuan
Yu, Weihui
Pan, Wei
Chen, Shuoping
Ye, Xiwen
Gu, Xuejiang
Hu, Xiang
A Clinical Epidemiological Analysis of Prognostic Nutritional Index Associated with Diabetic Retinopathy
title A Clinical Epidemiological Analysis of Prognostic Nutritional Index Associated with Diabetic Retinopathy
title_full A Clinical Epidemiological Analysis of Prognostic Nutritional Index Associated with Diabetic Retinopathy
title_fullStr A Clinical Epidemiological Analysis of Prognostic Nutritional Index Associated with Diabetic Retinopathy
title_full_unstemmed A Clinical Epidemiological Analysis of Prognostic Nutritional Index Associated with Diabetic Retinopathy
title_short A Clinical Epidemiological Analysis of Prognostic Nutritional Index Associated with Diabetic Retinopathy
title_sort clinical epidemiological analysis of prognostic nutritional index associated with diabetic retinopathy
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7920509/
https://www.ncbi.nlm.nih.gov/pubmed/33658818
http://dx.doi.org/10.2147/DMSO.S295757
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