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Jin Z, Xiao L, Xu X, Miao C, Liu Y. Association between triglyceride-glucose index and acute kidney injury in patients with acute myocardial infarction based on medical information mart for intensive care database: A cross-sectional study. J Med Biochem 2024; 43:153-161. [PMID: 38496026 PMCID: PMC10943466 DOI: 10.5937/jomb0-45219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 08/18/2023] [Indexed: 03/19/2024] Open
Abstract
Background The relationship between triglyceride glucose (TyG) index and the incidence of acute kidney injury (AKI) in patients with acute myocardial infarction (AMI) is unclear. This study aims to explore the relationship between the two. Methods Participants were enrolled from Medical Information Mart for Intensive Care IV (MIMICIV) and grouping of subjects based on the quartile interval of the TyG index. With the presence of AKI as the main outcome, a logistic regression model was constructed. The correlation of the TyG index with the results obtained was examined by using a restricted cubic spline (RCS) model.
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Affiliation(s)
- Zihan Jin
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Lu Xiao
- University of Traditional Chinese Medicine, First Teaching Hospital of Tianjin, Tianjin, China
| | - Xinyi Xu
- University of Traditional Chinese Medicine, First Teaching Hospital of Tianjin, Tianjin, China
| | - Changhong Miao
- University of Traditional Chinese Medicine, First Teaching Hospital of Tianjin, Tianjin, China
| | - Yi Liu
- University of Traditional Chinese Medicine, First Teaching Hospital of Tianjin, Tianjin, China
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Ye W, Chen X, Huang Y, Li Y, Xu Y, Liang Z, Wu D, Liu X, Li Y. The association between neutrophil-to-lymphocyte count ratio and mortality in septic patients: a retrospective analysis of the MIMIC-III database. J Thorac Dis 2020; 12:1843-1855. [PMID: 32642088 PMCID: PMC7330395 DOI: 10.21037/jtd-20-1169] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background Neutrophil-to-lymphocyte count ratio (NLCR) has been shown as a feasible parameter associated with outcomes of tumor patients and an accessible predictor of bacteremia. However, only a handful of research shed the light on the association between NLCR and outcomes of septic patients. This study is aimed to evaluate the association between NLCR and all-cause mortality in a population of adult septic patients. Methods We extracted clinical data from Medical Information Mart for Intensive Care (MIMIC)-III V1.4, a free, large-scale, single-center database. NLCR was computed individually. Patients were categorized by quartiles of NLCR. The associations between NLCR quartiles and 28-day all-cause mortality in septic patients were assessed using Cox proportional hazards models and subgroup analyzes. To evaluate the accuracy of NLCR in predicting 28-day mortality of sepsis, receiver operator characteristic curves (ROC), areas under the curve (AUC), and the Youden's J Index were calculated. Other outcomes included 7-day all-cause mortality, mortality in the intensive care units (ICU), in-hospital mortality and length of ICU stay. Results A total of 3,043 eligible patients were included in the study, of which, 760, 759, 766 and 758 patients were fallen in the first quartile (≤5.89), the second quartile (>5.89, ≤10.69), the third quartile (>10.69, ≤20.25) and the fourth quartile (>20.25) of NLCR, respectively. The 7-day mortality (13.4%, 9.9%, 13.6% and 14.2%; P=0.064) showed no difference in the four quartiles. In multivariate analysis, after adjusting for confounding factors, the highest NLCR quartile (>20.25) was associated with increased 28-day all-cause mortality [hazard ratio (HR) 1.22, 95% Cl: 1.01-1.49; P=0.046]. The areas under the receiver operating characteristic curves (AUROCs) for NLCR was 0.553 (95% CI: 0.529-0.576) for 28-day mortality. Conclusions High NLCR (>20.25) is independently related to increased 28-day all-cause mortality in adult septic patients of a limited sensibility and specificity. Further large multi-center prospective studies are needed to confirm such relationship and to validate whose clinical significance.
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Affiliation(s)
- Weiyan Ye
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, China
| | - Xiaoli Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, China
| | - Yongbo Huang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, China
| | - Yuchong Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, China
| | - Yonghao Xu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, China
| | - Zhenting Liang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, China
| | - Danlin Wu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, China
| | - Xiaoqing Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, China
| | - Yimin Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, China
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