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Left Atrial Size; a Missing Component in Scoring Systems for Predicting Atrial Fibrillation Following Coronary Artery
Abbasali Karimi1, Hamidreza Goodarzynejad1, Seyedeh Hamideh Mortazavi1
1Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Insights
A new clinical risk index can predict postoperative atrial fibrillation (AF) after coronary artery bypass graft (CABG) surgery. Left atrial size is a key factor for stratifying AF risk in CABG patients.
Area of Science:
- Cardiology
- Cardiac Surgery
- Medical Informatics
Background:
- Postoperative atrial fibrillation (AF) is a common complication after coronary artery bypass graft (CABG) surgery.
- Existing risk models may overlook crucial predictive factors for post-CABG AF.
- Accurate prediction of AF is essential for patient management and outcomes.
Purpose of the Study:
- To develop and validate a novel clinical risk index for predicting AF in patients undergoing isolated CABG.
- To identify key preoperative predictors of post-CABG AF.
- To improve risk stratification for AF in the context of cardiac surgery.
Main Methods:
- Retrospective cohort study involving 3047 isolated CABG patients.
- A risk index was derived using a prediction set (2032 patients) and validated in a separate set (1015 patients).
- Multivariate logistic regression identified independent preoperative predictors of post-CABG AF.
Main Results:
- Post-CABG AF incidence was 15.9% in the prediction set and 15.7% in the validation set.
- Four preoperative variables independently predicted AF: advanced age (≥75 years), left atrial (LA) enlargement, hypertension, and cerebrovascular accident.
- Advanced age (OR 4.134) and moderate to severe LA enlargement (OR 2.176) were significant predictors.
Conclusions:
- Left atrial size is a significant and important factor in risk stratification for post-CABG AF.
- The developed risk index demonstrates potential for predicting AF in CABG patients.
- Future risk scoring systems should incorporate LA size for enhanced predictive accuracy.
Background:
Several risk factors have been associated with the development of postoperative atrial fibrillation (AF). However, some important factors that may play substantial roles have been neglected in the final suggested risk models. In this study, we aimed to derive a new clinical risk index to predict AF in coronary artery bypass graft (CABG) patients.
Methods:
In this retrospective cohort study we enrolled 3047 isolated CABG patients. A random sample of 2032 patients was used to derive a risk index for the prediction of post-CABG AF. A multivariate logistic regression model identified the independent preoperative predictors of post-CABG AF, and a simple risk index to predict AF was constructed. This risk index was cross-validated in a validation set of 1015 patients with isolated CABG.
Results:
Post-CABG AF occurred in 15.9% and 15.7% of the patients in the prediction and validation sets, respectively. Using multivariate stepwise analysis, four preoperative variables including advanced age, left atrial (LA) enlargement, hypertension and cerebrovascular accident contributed to the prediction model (area under the receiver operating characteristic curve curve = 0.66). The effect of advanced age appeared to be dominant [age ≥ 75 years; odds ratio: 4.134, 95% confidence interval (CI): 2.791-6.121, p < 0.001]. Moderate to severe LA enlargement had an odds ratio of 2.176 (95% CI: 1.240-3.820, p = 0.013) for developing AF in our risk index.
Conclusions:
LA size was an important factor in risk stratification of post-CABG AF, which remained significant in the final model. Future scoring system studies might benefit from the use of this variable to obtain a more robust predictive value.
