Predictive value of triglyceride-glucose index for the occurrence of acute respiratory failure in asthmatic patients of MIMIC-IV database
Abstract 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)...
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Nature Portfolio
2024-11-01
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| Online Access: | https://doi.org/10.1038/s41598-024-74294-8 |
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| author | Qi Feng ZiWen Lv Chun Xiao Ba Ying Qian Zhang |
| author_facet | Qi Feng ZiWen Lv Chun Xiao Ba Ying Qian Zhang |
| author_sort | Qi Feng |
| collection | DOAJ |
| description | Abstract 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 < 0.001), in Model II, the OR was 2.456 (95% CI: 1.809–3.335; P < 0.001), and in the multivariable-adjusted model, the OR was 1.444 (95% CI: 1.029–2.028; P = 0.034). A consistent association was observed between the TyG index and the risk of acute respiratory failure in asthma patients. No significant interaction was found between the TyG index and various subgroups (P > 0.05). Furthermore, machine learning results indicated that an elevated TyG index was a significant feature predictive of respiratory failure in asthma patients. The baseline risk model achieved an AUC of 0.743 (95% CI: 0.679–0.808; P < 0.05), whereas the combination of the baseline risk model with the TyG index yielded an AUC of 0.757 (95% CI: 0.694–0.821; P < 0.05). The TyG index can serve as a predictive indicator for acute respiratory failure in asthma patients, albeit confirmation of these findings requires larger-scale prospective studies. |
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| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-11-01 |
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| series | Scientific Reports |
| spelling | doaj-art-8d3f6f754e8d46e3a64a6bcee4e7d2682024-11-24T12:23:40ZengNature PortfolioScientific Reports2045-23222024-11-0114111110.1038/s41598-024-74294-8Predictive value of triglyceride-glucose index for the occurrence of acute respiratory failure in asthmatic patients of MIMIC-IV databaseQi Feng0ZiWen Lv1Chun Xiao Ba2Ying Qian Zhang3Hebei North UniversityHebei North UniversityHebei Medical UniversityThree Departments of Respiration, Hebei Children’s HospitalAbstract 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 < 0.001), in Model II, the OR was 2.456 (95% CI: 1.809–3.335; P < 0.001), and in the multivariable-adjusted model, the OR was 1.444 (95% CI: 1.029–2.028; P = 0.034). A consistent association was observed between the TyG index and the risk of acute respiratory failure in asthma patients. No significant interaction was found between the TyG index and various subgroups (P > 0.05). Furthermore, machine learning results indicated that an elevated TyG index was a significant feature predictive of respiratory failure in asthma patients. The baseline risk model achieved an AUC of 0.743 (95% CI: 0.679–0.808; P < 0.05), whereas the combination of the baseline risk model with the TyG index yielded an AUC of 0.757 (95% CI: 0.694–0.821; P < 0.05). The TyG index can serve as a predictive indicator for acute respiratory failure in asthma patients, albeit confirmation of these findings requires larger-scale prospective studies.https://doi.org/10.1038/s41598-024-74294-8TyGInsulin resistanceAsthmaAcute respiratory failureMIMIC-IV database |
| spellingShingle | Qi Feng ZiWen Lv Chun Xiao Ba Ying Qian Zhang Predictive value of triglyceride-glucose index for the occurrence of acute respiratory failure in asthmatic patients of MIMIC-IV database Scientific Reports TyG Insulin resistance Asthma Acute respiratory failure MIMIC-IV database |
| title | Predictive value of triglyceride-glucose index for the occurrence of acute respiratory failure in asthmatic patients of MIMIC-IV database |
| title_full | Predictive value of triglyceride-glucose index for the occurrence of acute respiratory failure in asthmatic patients of MIMIC-IV database |
| title_fullStr | Predictive value of triglyceride-glucose index for the occurrence of acute respiratory failure in asthmatic patients of MIMIC-IV database |
| title_full_unstemmed | Predictive value of triglyceride-glucose index for the occurrence of acute respiratory failure in asthmatic patients of MIMIC-IV database |
| title_short | Predictive value of triglyceride-glucose index for the occurrence of acute respiratory failure in asthmatic patients of MIMIC-IV database |
| title_sort | predictive value of triglyceride glucose index for the occurrence of acute respiratory failure in asthmatic patients of mimic iv database |
| topic | TyG Insulin resistance Asthma Acute respiratory failure MIMIC-IV database |
| url | https://doi.org/10.1038/s41598-024-74294-8 |
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