Association between all-cause mortality and triglyceride glucose body mass index among critically ill patients with sepsis: a retrospective cohort investigation
Abstract Background We determined utilizing a sepsis participant cohort whether there is a significant association between TyG-BMI (triglyceride glucose body mass index) and mortality rates at any stage. Methods Herein, a historical cohort investigation approach was adopted, using information provid...
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| Language: | English |
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BMC
2024-12-01
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| Series: | Lipids in Health and Disease |
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| Online Access: | https://doi.org/10.1186/s12944-024-02390-9 |
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| author | Huijun Jin Xuefeng Xu Chun Ma Xinghai Hao Jinglan Zhang |
| author_facet | Huijun Jin Xuefeng Xu Chun Ma Xinghai Hao Jinglan Zhang |
| author_sort | Huijun Jin |
| collection | DOAJ |
| description | Abstract Background We determined utilizing a sepsis participant cohort whether there is a significant association between TyG-BMI (triglyceride glucose body mass index) and mortality rates at any stage. Methods Herein, a historical cohort investigation approach was adopted, using information provided by the Medical Information Mart for Intensive Care-IV (MIMIC-IV). We categorized the included individuals in accordance with their TyG-BMI data quartiles, and the primary outcomes were mortality during the hospital stay and death rate due to any reason at postadmission day 28, 90, and 365. To evaluate TyG-BMI mortality’s relationship with sepsis-induced mortality risk, we employed restricted cubic spline regression (RCS) and Cox regression models. Additionally, we confirmed TyG-BMI’s significant predictive value for mortality via machine learning methods. Furthermore, we performed subgroup analyses to investigate possible differences among various patient groups. Results The cohort included 4759 individuals, aged 63.9 ± 15.0 years, involving 2885 males (60.6%). The rates of death that took place during hospital stay and at 28, 90 and 365 days postadmission were respectively 19.60%, 24.70%, 28.80%, and 35.20%. As reflected by Cox models, TyG-BMI was negatively associated with mortality risk at various intervals: in-hospital [hazard ratio (HR) 0.47 (0.39–0.56), P = 0.003], 28 days postadmission [HR 0.42 (0.35–0.49), P < 0.001], 90 days postadmission [HR 0.41 (0.35–0.48), P < 0.001], and 365 days postadmission [HR 0.41 (0.35–0.47), P < 0.001]. Additionally, the relationship between TyG-BMI and death rates was L-shaped, as reflected by the RCS, with a TyG-BMI of 249 being the turning point. Conclusions Among sepsis patients in critical care, TyG-BMI is negatively correlated with mortality possibility at various intervals: during hospital stay and 28 days, 90 days, and one year postadmission. TyG-BMI is a beneficial parameter for categorizing risk levels among sepsis patients and for predicting their mortality risk within one year. Graphical Abstract |
| format | Article |
| id | doaj-art-b244928db2f9413980f9c48d27f0db2e |
| institution | Kabale University |
| issn | 1476-511X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | BMC |
| record_format | Article |
| series | Lipids in Health and Disease |
| spelling | doaj-art-b244928db2f9413980f9c48d27f0db2e2024-12-22T12:44:50ZengBMCLipids in Health and Disease1476-511X2024-12-0123111210.1186/s12944-024-02390-9Association between all-cause mortality and triglyceride glucose body mass index among critically ill patients with sepsis: a retrospective cohort investigationHuijun Jin0Xuefeng Xu1Chun Ma2Xinghai Hao3Jinglan Zhang4Department of Surgical Intensive Care Unit, Beijing Anzhen Hospital, Capital Medical UniversityDepartment of Surgical Intensive Care Unit, Beijing Anzhen Hospital, Capital Medical UniversityDepartment of Surgical Intensive Care Unit, Beijing Anzhen Hospital, Capital Medical UniversityDepartment of Surgical Intensive Care Unit, Beijing Anzhen Hospital, Capital Medical UniversityDepartment of Surgical Intensive Care Unit, Beijing Anzhen Hospital, Capital Medical UniversityAbstract Background We determined utilizing a sepsis participant cohort whether there is a significant association between TyG-BMI (triglyceride glucose body mass index) and mortality rates at any stage. Methods Herein, a historical cohort investigation approach was adopted, using information provided by the Medical Information Mart for Intensive Care-IV (MIMIC-IV). We categorized the included individuals in accordance with their TyG-BMI data quartiles, and the primary outcomes were mortality during the hospital stay and death rate due to any reason at postadmission day 28, 90, and 365. To evaluate TyG-BMI mortality’s relationship with sepsis-induced mortality risk, we employed restricted cubic spline regression (RCS) and Cox regression models. Additionally, we confirmed TyG-BMI’s significant predictive value for mortality via machine learning methods. Furthermore, we performed subgroup analyses to investigate possible differences among various patient groups. Results The cohort included 4759 individuals, aged 63.9 ± 15.0 years, involving 2885 males (60.6%). The rates of death that took place during hospital stay and at 28, 90 and 365 days postadmission were respectively 19.60%, 24.70%, 28.80%, and 35.20%. As reflected by Cox models, TyG-BMI was negatively associated with mortality risk at various intervals: in-hospital [hazard ratio (HR) 0.47 (0.39–0.56), P = 0.003], 28 days postadmission [HR 0.42 (0.35–0.49), P < 0.001], 90 days postadmission [HR 0.41 (0.35–0.48), P < 0.001], and 365 days postadmission [HR 0.41 (0.35–0.47), P < 0.001]. Additionally, the relationship between TyG-BMI and death rates was L-shaped, as reflected by the RCS, with a TyG-BMI of 249 being the turning point. Conclusions Among sepsis patients in critical care, TyG-BMI is negatively correlated with mortality possibility at various intervals: during hospital stay and 28 days, 90 days, and one year postadmission. TyG-BMI is a beneficial parameter for categorizing risk levels among sepsis patients and for predicting their mortality risk within one year. Graphical Abstracthttps://doi.org/10.1186/s12944-024-02390-9Retrospective designCohort investigationTyG-BMICritical IllnessIn-hospital Death |
| spellingShingle | Huijun Jin Xuefeng Xu Chun Ma Xinghai Hao Jinglan Zhang Association between all-cause mortality and triglyceride glucose body mass index among critically ill patients with sepsis: a retrospective cohort investigation Lipids in Health and Disease Retrospective design Cohort investigation TyG-BMI Critical Illness In-hospital Death |
| title | Association between all-cause mortality and triglyceride glucose body mass index among critically ill patients with sepsis: a retrospective cohort investigation |
| title_full | Association between all-cause mortality and triglyceride glucose body mass index among critically ill patients with sepsis: a retrospective cohort investigation |
| title_fullStr | Association between all-cause mortality and triglyceride glucose body mass index among critically ill patients with sepsis: a retrospective cohort investigation |
| title_full_unstemmed | Association between all-cause mortality and triglyceride glucose body mass index among critically ill patients with sepsis: a retrospective cohort investigation |
| title_short | Association between all-cause mortality and triglyceride glucose body mass index among critically ill patients with sepsis: a retrospective cohort investigation |
| title_sort | association between all cause mortality and triglyceride glucose body mass index among critically ill patients with sepsis a retrospective cohort investigation |
| topic | Retrospective design Cohort investigation TyG-BMI Critical Illness In-hospital Death |
| url | https://doi.org/10.1186/s12944-024-02390-9 |
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