UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Prognostic model for atrial fibrillation after cardiac surgery: a UK cohort study

Chung, SC; O’Brien, B; Lip, GYH; Fields, KG; Muehlschlegel, JD; Thakur, A; Clifton, D; ... Providencia, R; + view all (2022) Prognostic model for atrial fibrillation after cardiac surgery: a UK cohort study. Clinical Research in Cardiology 10.1007/s00392-022-02068-1. (In press). Green open access

[thumbnail of s00392-022-02068-1.pdf]
Preview
Text
s00392-022-02068-1.pdf - Published Version

Download (1MB) | Preview

Abstract

OBJECTIVE: To develop a validated clinical prognostic model to determine the risk of atrial fibrillation after cardiac surgery as part of the PARADISE project (NIHR131227). METHODS: Prospective cohort study with linked electronic health records from a cohort of 5.6 million people in the United Kingdom Clinical Practice Research Datalink from 1998 to 2016. For model development, we considered a priori candidate predictors including demographics, medical history, medications, and clinical biomarkers. We evaluated associations between covariates and the AF incidence at the end of follow-up using logistic regression with the least absolute shrinkage and selection operator. The model was validated internally with the bootstrap method; subsequent performance was examined by discrimination quantified with the c-statistic and calibration assessed by calibration plots. The study follows TRIPOD guidelines. RESULTS: Between 1998 and 2016, 33,464 patients received cardiac surgery among the 5,601,803 eligible individuals. The final model included 13-predictors at baseline: age, year of index surgery, elevated CHA2DS2-VASc score, congestive heart failure, hypertension, acute coronary syndromes, mitral valve disease, ventricular tachycardia, valve surgery, receiving two combined procedures (e.g., valve replacement + coronary artery bypass grafting), or three combined procedures in the index procedure, statin use, and ethnicity other than white or black (statins and ethnicity were protective). This model had an optimism-corrected C-statistic of 0.68 both for the derivation and validation cohort. Calibration was good. CONCLUSIONS: We developed a model to identify a group of individuals at high risk of AF and adverse outcomes who could benefit from long-term arrhythmia monitoring, risk factor management, rhythm control and/or thromboprophylaxis.

Type: Article
Title: Prognostic model for atrial fibrillation after cardiac surgery: a UK cohort study
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s00392-022-02068-1
Publisher version: https://doi.org/10.1007/s00392-022-02068-1
Language: English
Additional information: © 2022 Springer Nature Switzerland AG. This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
Keywords: Atrial fibrillation after cardiac surgery, Atrial fibrillation, Cardiac surgery, Electronic health records, Epidemiology, Risk prediction, United Kingdom, Prognostic model, Risk score
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10153984
Downloads since deposit
23Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item