Predictive value of triglyceride-glucose index for the occurrence of acute respiratory failure in asthmatic patients of MIMIC-IV database

This study aims to investigate the association between the triglyceride-glucose (TyG) index and the occurrence of acute respiratory failure in asthma patients. This retrospective observational cohort study utilized data from the Medical Information Mart for Intensive Care IV (MIMIC-IV 2.2) database....

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Bibliographic Details
Published in:Scientific reports 2024-11, Vol.14 (1), p.28631-11, Article 28631
Main Authors: Feng, Qi, Lv, ZiWen, Ba, Chun Xiao, Zhang, Ying Qian
Format: Article
Language:English
Subjects:
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Acute respiratory failure
Adult
Aged
Asthma
Asthma - blood
Asthma - complications
Asthma - diagnosis
Blood Glucose - analysis
Databases, Factual
Female
Humanities and Social Sciences
Humans
Information processing
Insulin resistance
Male
Middle Aged
MIMIC-IV database
multidisciplinary
Observational studies
Prediction models
Predictive Value of Tests
Regression analysis
Respiratory failure
Respiratory Insufficiency - blood
Respiratory Insufficiency - diagnosis
Respiratory Insufficiency - etiology
Retrospective Studies
Risk Factors
Science
Science (multidisciplinary)
Sensitivity analysis
Triglycerides - blood
TyG
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Summary:This study aims to investigate the association between the triglyceride-glucose (TyG) index and the occurrence of acute respiratory failure in asthma patients. This retrospective observational cohort study utilized data from the Medical Information Mart for Intensive Care IV (MIMIC-IV 2.2) database. The primary outcome was the development of acute respiratory failure in asthma patients. Initially, the Boruta algorithm and SHapley Additive exPansions were applied to preliminarily determine the feature importance of the TyG index, and a risk prediction model was constructed to evaluate its predictive ability. Secondly, Logistic regression proportional hazards models were employed to assess the association between the TyG index and acute respiratory failure in asthma patients. Finally, subgroup analyses were conducted for sensitivity analyses to explore the robustness of the results. A total of 751 asthma patients were included in the study. When considering the TyG index as a continuous variable, logistic regression analysis revealed that in the unadjusted Model 1, the odds ratio (OR) was 2.381 (95% CI: 1.857–3.052; P  
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-024-74294-8