Cargando…

Relationship between stress hyperglycemia ratio and allcause mortality in critically ill patients: Results from the MIMIC-IV database

BACKGROUND: Stress hyperglycemia ratio (SHR) was developed to reduce the impact of long-term chronic glycemic factors on stress hyperglycemia levels, which have been linked to clinical adverse events. However, the relationship between SHR and the short- and long-term prognoses of intensive care unit...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Chong, Shen, He-Chen, Liang, Wei-Ru, Ning, Meng, Wang, Zi-Xuan, Chen, Yi, Su, Wei, Guo, Ting-Ting, Hu, Kun, Liu, Ying-Wu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106677/
https://www.ncbi.nlm.nih.gov/pubmed/37077351
http://dx.doi.org/10.3389/fendo.2023.1111026
_version_ 1785026456491917312
author Zhang, Chong
Shen, He-Chen
Liang, Wei-Ru
Ning, Meng
Wang, Zi-Xuan
Chen, Yi
Su, Wei
Guo, Ting-Ting
Hu, Kun
Liu, Ying-Wu
author_facet Zhang, Chong
Shen, He-Chen
Liang, Wei-Ru
Ning, Meng
Wang, Zi-Xuan
Chen, Yi
Su, Wei
Guo, Ting-Ting
Hu, Kun
Liu, Ying-Wu
author_sort Zhang, Chong
collection PubMed
description BACKGROUND: Stress hyperglycemia ratio (SHR) was developed to reduce the impact of long-term chronic glycemic factors on stress hyperglycemia levels, which have been linked to clinical adverse events. However, the relationship between SHR and the short- and long-term prognoses of intensive care unit (ICU) patients remains unclear. METHODS: We retrospectively analyzed 3,887 ICU patients (cohort 1) whose initial fasting blood glucose and hemoglobin A1c data within 24 hours of admission were available and 3,636 ICU patients (cohort 2) who were followed-up for 1-year using the Medical Information Mart for Intensive Care IV v2.0 database. Patients were divided into two groups based on the optimal cutoff value of SHR, which was determined using the receiver operating characteristic (ROC) curve. RESULTS: There were 176 ICU deaths in cohort 1 and 378 patients experienced all-cause mortality during 1 year of follow-up in cohort 2. The results of logistic regression revealed that SHR was associated with ICU death (odds ratio 2.92 [95% confidence interval 2.14–3.97] P < 0.001), and non-diabetic patients rather than diabetic patients showed an increased risk of ICU death. As per the Cox proportional hazards model, the high SHR group experienced a higher incidence of 1-year all-cause mortality (hazard ratio 1.55 [95% confidence interval 1.26–1.90] P < 0.001). Moreover, SHR had an incremental effect on various illness scores in predicting ICU all-cause mortality. CONCLUSION: SHR is linked to ICU death and 1-year all-cause mortality in critically ill patients, and it has an incremental predictive value in different illness scores. Moreover, we found that non-diabetic patients, rather than diabetic patients, showed an increased risk of all-cause mortality.
format Online
Article
Text
id pubmed-10106677
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-101066772023-04-18 Relationship between stress hyperglycemia ratio and allcause mortality in critically ill patients: Results from the MIMIC-IV database Zhang, Chong Shen, He-Chen Liang, Wei-Ru Ning, Meng Wang, Zi-Xuan Chen, Yi Su, Wei Guo, Ting-Ting Hu, Kun Liu, Ying-Wu Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Stress hyperglycemia ratio (SHR) was developed to reduce the impact of long-term chronic glycemic factors on stress hyperglycemia levels, which have been linked to clinical adverse events. However, the relationship between SHR and the short- and long-term prognoses of intensive care unit (ICU) patients remains unclear. METHODS: We retrospectively analyzed 3,887 ICU patients (cohort 1) whose initial fasting blood glucose and hemoglobin A1c data within 24 hours of admission were available and 3,636 ICU patients (cohort 2) who were followed-up for 1-year using the Medical Information Mart for Intensive Care IV v2.0 database. Patients were divided into two groups based on the optimal cutoff value of SHR, which was determined using the receiver operating characteristic (ROC) curve. RESULTS: There were 176 ICU deaths in cohort 1 and 378 patients experienced all-cause mortality during 1 year of follow-up in cohort 2. The results of logistic regression revealed that SHR was associated with ICU death (odds ratio 2.92 [95% confidence interval 2.14–3.97] P < 0.001), and non-diabetic patients rather than diabetic patients showed an increased risk of ICU death. As per the Cox proportional hazards model, the high SHR group experienced a higher incidence of 1-year all-cause mortality (hazard ratio 1.55 [95% confidence interval 1.26–1.90] P < 0.001). Moreover, SHR had an incremental effect on various illness scores in predicting ICU all-cause mortality. CONCLUSION: SHR is linked to ICU death and 1-year all-cause mortality in critically ill patients, and it has an incremental predictive value in different illness scores. Moreover, we found that non-diabetic patients, rather than diabetic patients, showed an increased risk of all-cause mortality. Frontiers Media S.A. 2023-04-03 /pmc/articles/PMC10106677/ /pubmed/37077351 http://dx.doi.org/10.3389/fendo.2023.1111026 Text en Copyright © 2023 Zhang, Shen, Liang, Ning, Wang, Chen, Su, Guo, Hu and Liu 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 Endocrinology
Zhang, Chong
Shen, He-Chen
Liang, Wei-Ru
Ning, Meng
Wang, Zi-Xuan
Chen, Yi
Su, Wei
Guo, Ting-Ting
Hu, Kun
Liu, Ying-Wu
Relationship between stress hyperglycemia ratio and allcause mortality in critically ill patients: Results from the MIMIC-IV database
title Relationship between stress hyperglycemia ratio and allcause mortality in critically ill patients: Results from the MIMIC-IV database
title_full Relationship between stress hyperglycemia ratio and allcause mortality in critically ill patients: Results from the MIMIC-IV database
title_fullStr Relationship between stress hyperglycemia ratio and allcause mortality in critically ill patients: Results from the MIMIC-IV database
title_full_unstemmed Relationship between stress hyperglycemia ratio and allcause mortality in critically ill patients: Results from the MIMIC-IV database
title_short Relationship between stress hyperglycemia ratio and allcause mortality in critically ill patients: Results from the MIMIC-IV database
title_sort relationship between stress hyperglycemia ratio and allcause mortality in critically ill patients: results from the mimic-iv database
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106677/
https://www.ncbi.nlm.nih.gov/pubmed/37077351
http://dx.doi.org/10.3389/fendo.2023.1111026
work_keys_str_mv AT zhangchong relationshipbetweenstresshyperglycemiaratioandallcausemortalityincriticallyillpatientsresultsfromthemimicivdatabase
AT shenhechen relationshipbetweenstresshyperglycemiaratioandallcausemortalityincriticallyillpatientsresultsfromthemimicivdatabase
AT liangweiru relationshipbetweenstresshyperglycemiaratioandallcausemortalityincriticallyillpatientsresultsfromthemimicivdatabase
AT ningmeng relationshipbetweenstresshyperglycemiaratioandallcausemortalityincriticallyillpatientsresultsfromthemimicivdatabase
AT wangzixuan relationshipbetweenstresshyperglycemiaratioandallcausemortalityincriticallyillpatientsresultsfromthemimicivdatabase
AT chenyi relationshipbetweenstresshyperglycemiaratioandallcausemortalityincriticallyillpatientsresultsfromthemimicivdatabase
AT suwei relationshipbetweenstresshyperglycemiaratioandallcausemortalityincriticallyillpatientsresultsfromthemimicivdatabase
AT guotingting relationshipbetweenstresshyperglycemiaratioandallcausemortalityincriticallyillpatientsresultsfromthemimicivdatabase
AT hukun relationshipbetweenstresshyperglycemiaratioandallcausemortalityincriticallyillpatientsresultsfromthemimicivdatabase
AT liuyingwu relationshipbetweenstresshyperglycemiaratioandallcausemortalityincriticallyillpatientsresultsfromthemimicivdatabase