4.4 Article

Predictors and nomogram of in-hospital mortality in sepsis-induced myocardial injury: a retrospective cohort study

Journal

BMC ANESTHESIOLOGY
Volume 23, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12871-023-02189-8

Keywords

Sepsis; Sepsis-induced myocardial injury; Nomogram; 28-day mortality; Troponin T

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The study aimed to construct a prediction model to assess the 28-day mortality in patients with sepsis-induced myocardial injury (SIMI). Retrospective data from the MIMIC-IV clinical database was used to construct the model. The results showed that SIMI was independently associated with the 28-day mortality in septic patients, and the performance of the nomogram model was better than the single SOFA score and Troponin T.
BackgroundSepsis-induced myocardial injury (SIMI) is a common organ dysfunction and is associated with higher mortality in patients with sepsis. We aim to construct a nomogram prediction model to assess the 28-day mortality in patients with SIMI. .MethodWe retrospectively extracted data from Medical Information Mart for Intensive Care (MIMIC-IV) open-source clinical database. SIMI was defined by Troponin T (higher than the 99th percentile of upper reference limit value) and patients with cardiovascular disease were excluded. A prediction model was constructed in the training cohort by backward stepwise Cox proportional hazards regression model. The concordance index (C-index), area under the receiver operating characteristics curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), calibration plotting and decision-curve analysis (DCA) were used to evaluate the nomogram.Results1312 patients with sepsis were included in this study and 1037 (79%) of them presented with SIMI. The multivariate Cox regression analysis in all septic patients revealed that SIMI was independently associated with 28-day mortality of septic patients. The risk factors of diabetes, Apache II score, mechanical ventilation, vasoactive support, Troponin T and creatinine were included in the model and a nomogram was constructed based on the model. The C-index, AUC, NRI, IDI, calibration plotting and DCA showed that the performance of the nomogram was better than the single SOFA score and Troponin T.ConclusionSIMI is related to the 28-day mortality of septic patients. The nomogram is a well-performed tool to predict accurately the 28-day mortality in patients with SIMI.

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