Evidence map›Paper›PMID 34747754›Full record

ArticleAnnals of cardiac anaesthesia

New combined risk score to predict atrial fibrillation after cardiac surgery: COM-AF.

Lucrecia M Burgos, Andreína Gil Ramírez, Leonardo Seoane, Juan F Furmento, Juan P Costabel, Mirta Diez, Daniel Navia

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In one paragraph

Article in Annals of cardiac anaesthesia. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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  7. Brazilian Atrial Fibrillation Guidelines - 2025.Arquivos brasileiros de cardiologia · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Lucrecia M BurgosDepartment of Heart Failure, Pulmonary Hypertension and Transplant, Instituto Cardiovascular de Buenos Aires, Buenos Aires, Argentina.
Andreína Gil RamírezClinical Cardiology, Instituto Cardiovascular de Buenos Aires, Buenos Aires, Argentina.
Leonardo SeoaneCritical Care Cardiology, Instituto Cardiovascular de Buenos Aires, Buenos Aires, Argentina.
Juan F FurmentoCritical Care Cardiology, Instituto Cardiovascular de Buenos Aires, Buenos Aires, Argentina.
Juan P CostabelCritical Care Cardiology, Instituto Cardiovascular de Buenos Aires, Buenos Aires, Argentina.
Mirta DiezDepartment of Heart Failure, Pulmonary Hypertension and Transplant, Instituto Cardiovascular de Buenos Aires, Buenos Aires, Argentina.
Daniel NaviaCardiac Surgery, Instituto Cardiovascular de Buenos Aires, Buenos Aires, Argentina.
Instituto Cardiovascular de Buenos Aires · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Atrial fibrillation frequently occurs in the postoperative period of cardiac surgery, associated with an increase in morbidity and mortality. The scores POAF, CHA2DS2-VASc and HATCH demonstrated a validated ability to predict atrial fibrillation after cardiac surgery (AFCS). The objective is to develop and validate a risk score to predict AFCS from the combination of the variables with highest predictive value of POAF, CHA2DS2-VASc and HATCH models. Methods: We conducted a single-center cohort study, performing a retrospective analysis of prospectively collected data. The study included consecutive patients undergoing cardiac surgery in 2010-2016. The primary outcome was the development of new-onset AFCS. The variables of the POAF, CHA2DS2-VASc and HATCH scores were evaluated in a multivariate regression model to determine the predictive impact. Those variables that were independently associated with AFCS were included in the final model. Results: A total of 3113 patients underwent cardiac surgery, of which 21% presented AFCS. The variables included in the new score COM-AF were: age (≥75: 2 points, 65-74: 1 point), heart failure (2 points), female sex (1 point), hypertension (1 point), diabetes (1 point), previous stroke (2 points). For the prediction of AFCS, COM-AF presented an AUC of 0.78 (95% CI 0.76-0.80), the rest of the scores presented lower discrimination ability (P < 0.001): CHA2DS2-VASc AUC 0.76 (95% CI 0.74-0.78), POAF 0.71 (95% CI 0.69-0.73) and HATCH 0.70 (95% CI: 0, 67-0.72). Multivariable analysis demonstrated that COM-AF score was an independent predictor of AFCS: OR 1,91 (IC 95% 1,63-2,23). Conclusion: From the combination of variables with higher predictive value included in the POAF, CHA2DS2-VASc, and HATCH scores, a new risk model system called COM-AF was created to predict AFCS, presenting a greater predictive ability than the original ones. Being necessary future prospective validations.

Indexed as

Atrial FibrillationCardiac Surgical ProceduresCohort StudiesFemaleHumansRetrospective StudiesRisk AssessmentRisk FactorsAtrial fibrillationcardiac arrhythmiacardiac surgical proceduresthoracic surgery

Identifiers

PMID34747754
PMCPMC8617386
OpenAlexW3207916536

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.