Triglyceride-glucose index is associated with the occurrence and prognosis of cardiac arrest: a multicenter retrospective observational study

• Published in: Cardiovascular diabetology 2023-07, Vol.22 (1), p.190-190, Article 190
• Main Authors: Boshen, Yang, Yuankang, Zhu, Xinjie, Zheng, Taixi, Li, Kaifan, Niu, Zhixiang, Wang, Juan, Song, Junli, Duan, Suiji, Li, Xia, Lu, Chengxing, Shen
• Format: Article
• Language: English
• Subjects: Blood pressure; Cardiac arrest; Cardiopulmonary resuscitation; Cardiovascular disease; Cardiovascular diseases; Clinical outcomes; Correlation analysis; CPR; Diabetes; Glucose; Heart attacks; Hospital mortality; Hospitals; Hypertension; Insulin resistance; Intensive care unit; Medical prognosis; Mortality; Observational studies; Patients; Physiology; Population; Prognosis; Risk factors; Triglycerides; TyG index; Variables; Vital signs
• ISSN: 1475-2840; 1475-2840
• DOI: 10.1186/s12933-023-01918-0

Triglyceride-glucose (TyG) index is an efficient indicator of insulin resistance and is proven to be a valuable marker in several cardiovascular diseases. However, the relationship between TyG index and cardiac arrest (CA) remains unclear. The present study aimed to investigate the association of the TyG index with the occurrence and clinical outcomes of CA. In this retrospective, multicenter, observational study, critically ill patients, including patients post-CA, were identified from the eICU Collaborative Research Database and evaluated. The TyG index for each patient was calculated using values of triglycerides and glucose recorded within 24 h of intensive care unit (ICU) admission. In-hospital mortality and ICU mortality were the primary clinical outcomes. Logistic regression, restricted cubic spline (RCS), and correlation analyses were performed to explore the relationship between the TyG index and clinical outcomes. Propensity score matching (PSM), overlap weighting (OW), and inverse probability of treatment weighting (IPTW) were adopted to balance the baseline characteristics of patients and minimize selection bias to confirm the robustness of the results. Subgroup analysis based on different modifiers was also performed. Overall, 24,689 critically ill patients, including 1021 patients post-CA, were enrolled. The TyG index was significantly higher in patients post-CA than in those without CA (9.20 (8.72-9.69) vs. 8.89 (8.45-9.41)), and the TyG index had a moderate discrimination ability to identify patients with CA from the overall population (area under the curve = 0.625). Multivariate logistic regression indicated that the TyG index was an independent risk factor for in-hospital mortality (OR = 1.28, 95% CI: 1.03-1.58) and ICU mortality (OR = 1.27, 95% CI: 1.02-1.58) in patients post-CA. RCS curves revealed that an increased TyG index was linearly related to higher risks of in-hospital and ICU mortality (P for nonlinear: 0.225 and 0.271, respectively). Even after adjusting by PSM, IPTW, and OW, the TyG index remained a risk factor for in-hospital mortality and ICU mortality in patients experiencing CA, which was independent of age, BMI, sex, etc. Correlation analyses revealed that TyG index was negatively correlated with the neurological status of patients post-CA. Elevated TyG index is significantly associated with the occurrence of CA and higher mortality risk in patients post-CA. Our findings extend the landscape of TyG index in cardiovascula