Development and Validation of a Risk Score to Predict QT Interval Prolongation in Hospitalized Patients

dc.contributor.authorTisdale, James E.
dc.contributor.authorJaynes, Heather A.
dc.contributor.authorKingery, Joanna R.
dc.contributor.authorMourad, Noha A.
dc.contributor.authorTrujillo, Tate N.
dc.contributor.authorOverholser, Brian R.
dc.contributor.authorKovacs, Richard J.
dc.contributor.departmentMedicine, School of Medicine
dc.date.accessioned2025-05-08T09:57:05Z
dc.date.available2025-05-08T09:57:05Z
dc.date.issued2013
dc.description.abstractBackground: Identifying hospitalized patients at risk for QT interval prolongation could lead to interventions to reduce the risk of torsades de pointes. Our objective was to develop and validate a risk score for QT prolongation in hospitalized patients. Methods and results: In this study, in a single tertiary care institution, consecutive patients (n=900) admitted to cardiac care units comprised the risk score development group. The score was then applied to 300 additional patients in a validation group. Corrected QT (QTc) interval prolongation (defined as QTc>500 ms or an increase of >60 ms from baseline) occurred in 274 (30.4%) and 90 (30.0%) patients in the development group and validation group, respectively. Independent predictors of QTc prolongation included the following: female (odds ratio, 1.5; 95% confidence interval, 1.1-2.0), diagnosis of myocardial infarction (2.4 [1.6-3.9]), septic shock (2.7 [1.5-4.8]), left ventricular dysfunction (2.7 [1.6-5.0]), administration of a QT-prolonging drug (2.8 [2.0-4.0]), ≥2 QT-prolonging drugs (2.6 [1.9-5.6]), or loop diuretic (1.4 [1.0-2.0]), age >68 years (1.3 [1.0-1.9]), serum K⁺ <3.5 mEq/L (2.1 [1.5-2.9]), and admitting QTc >450 ms (2.3; confidence interval [1.6-3.2]). Risk scores were developed by assigning points based on log odds ratios. Low-, moderate-, and high-risk ranges of 0 to 6, 7 to 10, and 11 to 21 points, respectively, best predicted QTc prolongation (C statistic=0.823). A high-risk score ≥11 was associated with sensitivity=0.74, specificity=0.77, positive predictive value=0.79, and negative predictive value=0.76. In the validation group, the incidences of QTc prolongation were 15% (low risk); 37% (moderate risk); and 73% (high risk). Conclusions: A risk score using easily obtainable clinical variables predicts patients at highest risk for QTc interval prolongation and may be useful in guiding monitoring and treatment decisions.
dc.eprint.versionAuthor's manuscript
dc.identifier.citationTisdale JE, Jaynes HA, Kingery JR, et al. Development and validation of a risk score to predict QT interval prolongation in hospitalized patients [published correction appears in Circ Cardiovasc Qual Outcomes. 2013 Nov;6(6):e57]. Circ Cardiovasc Qual Outcomes. 2013;6(4):479-487. doi:10.1161/CIRCOUTCOMES.113.000152
dc.identifier.urihttps://hdl.handle.net/1805/47875
dc.language.isoen_US
dc.publisherAmerican Heart Association
dc.relation.isversionof10.1161/CIRCOUTCOMES.113.000152
dc.relation.journalCirculation: Cardiovascular Quality and Outcomes
dc.rightsPublisher Policy
dc.sourcePMC
dc.subjectElectrocardiography
dc.subjectPredictors
dc.subjectQT interval
dc.subjectRisk factors
dc.subjectTorsades de Pointes
dc.titleDevelopment and Validation of a Risk Score to Predict QT Interval Prolongation in Hospitalized Patients
dc.typeArticle
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