CO150 Examining the Relationship between Prolonged QTc Risk Score and in-Hospital Mortality

A model to predict risk of mortality may be useful guide treatment decisions for patients at prolonged QTc. This study aimed evaluate the relationship between a modified Tisdale QTc interval score (QTc-RS) and inpatient mortality. was retrospective observational study. QTc-RS calculated across 30 hospitals in U.S. The ranges from zero 23 incorporates following factors: sex, age>67 years, loop diuretic, diagnosis myocardial infarction, sepsis, heart failure, serum K+≤3.5 mEq/L, ≥ one medication with known TdP, Fridericia-corrected (QTcF)>500 milliseconds. Logistic regression generalized linear were used assess length hospitalization. Between October December 2020, 92,383 hospitalized patients. Common factors female sex (55.0%); age> 67 years (32.1%); receiving TdP (24.5%). total 2770 (3%) expired during their As increased, proportion who increased almost exponentially 0.5% 50%. odds by 32% every unit increase (OR=1.32, 95%CI:1.31-1.34). Relative QTc-RS<7, ratio 4.80 (95%CI:4.42-5.21) QTc-RS=7-10 11.51 (95%CI:10.23-12.94) those QTc-RS≥11. Length stay 0.7 day (p<0.0001). Our revealed an longer hospitalization increasing hospitalized. can easily using existing information electronic health records is strong predictor