Triglyceride-glucose index correlates with the incidences and prognoses of cardiac arrest following acute myocardial infarction: data from two large-scale cohorts

Figures

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  Fig. 1. Flowchart of patient selection from the eICU-CRD and the MIMIC-IV databases. TG, triglyceride; FBG, fasting blood glucose; AMI, acute myocardial infarction; CA, cardiac arrest; eICU-CRD, eICU Collaborative Research Database; MIMIC-IV, Medical Information Mart for Intensive Care-IV

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  Fig. 2. ROC curve of TyG index for identifying patients diagnosed with CA from the overall AMI population. TyG, triglyceride-glucose; AUC, area under the cure; CI, confidence interval

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  Fig. 3. Endpoints stratified by tertiles of the TyG index in the AMI-CA patient population. A in-hospital mortality; B ICU mortality; C LOS-H; D LOS-ICU. ICU, intensive unit care; LOS-H, length of stay in hospital; LOS-ICU, length of stay in intensive unit care; T, tertile

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  Fig. 4. RCS curves of the TyG index in relation to mortality in the AMI-CA patient population. A in-hospital mortality; B ICU mortality. ICU, intensive unit care; TyG, triglyceride-glucose; CI, confidence interval

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  Fig. 5. Logistic regression model to explore mortality risks associated with higher TyG index in the original, PSM-, OW-, and IPTW-adjusted cohorts. A in-hospital mortality; B ICU mortality. TyG, triglyceride-glucose; ICU, intensive unit care; PSM, propensity score matching; IPTW, inverse probability of treatment weighting; OW, overlap weighting; OR, odds ratio; CI, confidence interval

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  Fig. 6. Subgroup analyses for the correlation between the TyG index and mortalities, based on age, sex, BMI, and hypertension. BMI, body mass index; ICU, intensive care unit; OR, adds ratio; CI, confidence interval