Derivation and Validation of a Clinical Score for Predicting Postoperative Atrial Fibrillation in Noncardiac Elective Surgery (the HART Score).


Journal

The American journal of cardiology
ISSN: 1879-1913
Titre abrégé: Am J Cardiol
Pays: United States
ID NLM: 0207277

Informations de publication

Date de publication:
01 05 2022
Historique:
received: 29 10 2021
revised: 14 01 2022
accepted: 21 01 2022
pubmed: 28 2 2022
medline: 13 4 2022
entrez: 27 2 2022
Statut: ppublish

Résumé

Postoperative atrial fibrillation (POAF) represents the most frequent cardiac arrhythmia in the surgical setting. It affects almost 3% of all patients over 45 years old who underwent noncardiovascular surgery and is associated with a higher risk of stroke, heart failure, myocardial infarction, and cardiac arrest. The study aimed to assess independent predictors of POAF and derive and validate a score for risk prediction in clinical practice. This was a retrospective cohort study including all consecutive candidates to all types of noncardiac elective surgery attending a cardiological preoperative assessment from 2016 to 2019. Exclusion criteria were a previous diagnosis of AF and the cancelation of the planned surgery. A total of 2,048 patients were enrolled (1350 men, aged 72 ± 12 years). A total of 44 patients experienced POAF (2.1%) - median 3 days (first to third quartile 2 to 4 days). Age (odds ratio [OR] 1.03 for each year, 95% confidence interval [CI] 1.01 to 1.07), hypertension (OR 3.43, 95% CI 1.22 to 9.63), thyroid dysfunction (OR 2.47, 95% CI 1.22 to 5.01), and intermediate or high-risk surgery (OR 18.28, 95% CI 2.51 to 33.09) resulted as independent predictors of POAF (all p <0.05). The Hypertension, Age, surgery Risk, and Thyroid dysfunction score (OR 2.59 for each point, 95% CI 1.79 to 3.75, p <0.001) was then created based on those 4 items. A cut-off score ≥6 had a 70% sensitivity and a 72% specificity in detecting POAF (area under the curve 0.76). Bootstrapping for internal validation confirmed the overall results (area under the curve 0.72). In conclusion, POAF complicates around 2% of all noncardiac surgery. A 4-item risk score, such as the Hypertension, Age, surgery Risk, and Thyroid dysfunction score, could be effective in implementing POAF screening and improving management.

Identifiants

pubmed: 35219508
pii: S0002-9149(22)00082-0
doi: 10.1016/j.amjcard.2022.01.020
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

56-62

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Giulia Stronati (G)

Cardiology and Arrhythmology Clinic, University Hospital "Lancisi-Umberto I- Salesi", Ancona, Italy; Department of Biomedical Sciences and Public Health, Marche Polytechnic University, Ancona, Italy.

Carlo Mondelli (C)

Cardiology and Arrhythmology Clinic, University Hospital "Lancisi-Umberto I- Salesi", Ancona, Italy; Department of Biomedical Sciences and Public Health, Marche Polytechnic University, Ancona, Italy.

Alessia Urbinati (A)

Cardiology and Arrhythmology Clinic, University Hospital "Lancisi-Umberto I- Salesi", Ancona, Italy.

Giuseppe Ciliberti (G)

Cardiology and Arrhythmology Clinic, University Hospital "Lancisi-Umberto I- Salesi", Ancona, Italy.

Alessandro Barbarossa (A)

Cardiology and Arrhythmology Clinic, University Hospital "Lancisi-Umberto I- Salesi", Ancona, Italy.

Paolo Compagnucci (P)

Cardiology and Arrhythmology Clinic, University Hospital "Lancisi-Umberto I- Salesi", Ancona, Italy.

Michela Casella (M)

Cardiology and Arrhythmology Clinic, University Hospital "Lancisi-Umberto I- Salesi", Ancona, Italy; Department of Clinical, Special and Dental Sciences, Marche Polytechnic University, Ancona, Italy.

Antonio Dello Russo (A)

Cardiology and Arrhythmology Clinic, University Hospital "Lancisi-Umberto I- Salesi", Ancona, Italy; Department of Biomedical Sciences and Public Health, Marche Polytechnic University, Ancona, Italy.

Federico Guerra (F)

Cardiology and Arrhythmology Clinic, University Hospital "Lancisi-Umberto I- Salesi", Ancona, Italy; Department of Biomedical Sciences and Public Health, Marche Polytechnic University, Ancona, Italy. Electronic address: f.guerra@staff.univpm.it.

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