Overweight and aging increase the risk of atrial fibrillation after cardiac surgery independently of left atrial size and left ventricular ejection fraction

Clinical characteristics and prognostic implication of atrial fibrillation in the postoperative period of cardiac surgery with cardiopulmonary bypass

INTRODUCTION

Despite the latest innovations in surgical and cardiopulmonary bypass techniques, atrial fibrillation remains a common occurrence in patients undergoing heart surgery, and has been shown to increase the incidence of intra- and postoperative complications. For this reason, it is among the top 10 research topics in cardiovascular surgery.

METHOD

Observational, analytical, retrospective study carried out at the largest cardiovascular centre in Mexico. Adult patients (>18 years) with no history of atrial fibrillation who underwent on-pump heart surgery between 1 January 2022 and 31 December 2023 were included. Variables that have previously been correlated with postoperative atrial fibrillation (POAF) were evaluated.

RESULTS

A total of 544 patients were included. The incidence of POAF was 23.8%. Overall in-hospital mortality was 5.9%. There was a significant difference in age between patients that developed postoperative atrial fibrillation and those that maintained sinus rhythm (62 years vs 57 years, p = < 0.01). Using a univariate logistic regression model, we found that POAF significantly predicts the occurrence of hospital-acquired pneumonia (OR 3.12, 95% CI 1.61-6.02, p = <0.01) and the requirement for renal replacement therapy (OR 3.04, 95% CI 1.34-6.86, p = <0.01).

CONCLUSIONS

Atrial fibrillation is a common arrhythmia in the postoperative period of on-pump heart surgery, and is a predictor of adverse outcomes. Prevention, early detection and treatment of POAF may have prognostic implications.

Association between postoperative atrial fibrillation after coronary artery bypass grafting and short-term clinical outcomes

BACKGROUND

Despite advances in prevention and treatment, postoperative atrial fibrillation (POAF) is the most common type of complication undergoing cardiac surgery. This study aimed to identify the relationship between POAF and clinical outcomes after coronary artery bypass graft.

METHODS

In this cross-sectional study, we retrospectively reviewed the medical records of 324 patients who had undergone coronary artery bypass grafting in an intensive care unit between 2010 and 2019 at a tertiary hospital in Korea. Propensity score matching was used to estimate a 1:1 match (without: with POAF) using seven covariates to overcome selection bias. Kaplan-Meier survival analysis and Cox proportional hazards modeling were performed to determine the effect on intensive care unit readmission and length of hospital stay.

RESULTS

After controlling for covariates, 1:1 matching was performed for 91 patients in each group. The occurrence of postoperative atrial fibrillation was found to increase the probability of readmission to the intensive care unit, with a 23% reduced probability of readmission for every 10% increase in left ventricular ejection fraction. Multivariate analysis indicated that postoperative atrial fibrillation, chronic obstructive pulmonary disease as a comorbidity, and preoperative hemoglobin were factors affecting the length of hospitalization after surgery. The Kaplan-Meier survival analysis results indicated that the without POAF group had a higher survival rate than the with POAF group.

CONCLUSIONS

Healthcare professionals should recognize negative factors such as postoperative atrial fibrillation and abnormal hematologic parameters that impact major clinical outcomes in patients and may require closer monitoring before and after coronary artery bypass grafting.

Postoperative Atrial Fibrillation Prediction by Left Atrial Size in Coronary Artery Bypass Grafting and Five-Year Survival Outcome

Background: Postoperative Atrial Fibrillation (POAF) is a common complication in cardiac surgery. Despite its multifactorial origin, the left atrial (LA) size is closely linked to POAF, raising the question of a valid cut-off value and its impact on the long-term outcome. Methods: Patients without a history of AF who underwent coronary artery bypass grafting between 2014 and 2016 were selected for this retrospective study. LA size was preoperatively assessed using the left atrial anterior-posterior diameter (LAAPd). Correlation and logistic regression analyses were performed, following a receiver-operating characteristic (ROC) analysis. Propensity score matching (PSM) was applied to ensure group comparability, followed by a comparison analysis regarding the primary endpoint of POAF and the secondary endpoints of all-cause mortality and stroke during a five-year follow-up. Results: A total of 933 patients were enrolled in the study eventually revealing a significant correlation between LAAPd and POAF (cor = 0.09, p < 0.01). A cut-off point of 38.5 mm was identified, resulting in groups with 366 patients each after PSM. Overall, patients with a dilated LA presented a significantly higher rate of POAF (22.3% vs. 30.4%, p = 0.02). In a five-year follow-up, a slightly higher rate of all-cause mortality (9.8% vs. 13.7%, HR 1.4 [0.92-2.29], p = 0.10) was observed, but there was no difference in the occurrence of strokes (3.6% vs. 3.3%, p = 0.87). Conclusions: An LAAPd of >38.5 mm was found to be an independent predictor of POAF after coronary artery bypass grafting and resulted in a non-significant tendency towards a worse outcome regarding all-cause mortality in a five-year follow-up.

Atrial fibrillation post CABG and the risk of arrhythmia recurrence: the AFRODITE study

BACKGROUND

New-onset postoperative atrial fibrillation (POAF) after coronary artery bypass surgery (CABG) occurs with an incidence of 20-40%. The clinical relevance of POAF remains a concern, and the need for further studies regarding the clinical management of POAF is necessary.

AIM

The AFRODITE study, a prospective multicenter cohort study, had as its primary endpoint the evaluation of AF recurrence in patients post CABG over a one-year period.

METHODS

Two hundred twenty-eight patients aged >50 years who underwent isolated CABG were included in the study. Patients were stratified into two groups, POAF and non-POAF, and followed for 12 months for AF recurrence, hospitalizations, and death.

RESULTS

Two hundred twenty-eight patients (mean age 67 years, 88.6% male) were included in the study. 28.5% of patients experienced at least one episode of POAF during index hospitalization (POAF group) and were compared with the non-POAF group (n = 163). Multivariate stepwise logistic regression analysis showed that the strongest prognostic parameter for POAF was the CHA2DS2-VASc score (odds ratio = 1.61, p < 0.001). POAF patients had a worse in-hospital outcome, but the incidence of long-term AF recurrence was not statistically different (3.6% vs. 4.8%, p = 0.9).

CONCLUSION

Interestingly, a one-year prospective follow-up of patients in the study did not reveal significant differences between POAF and non-POAF patients. A notable finding was that patients with a higher CHA2DS2-VASc score were more likely to develop POAF.

Prediction of new onset postoperative atrial fibrillation using a simple Nomogram

BACKGROUND

New onset postoperative atrial fibrillation (POAF) is the most common complication of cardiac surgery, with an incidence ranging from 15 to 50%. This study aimed to develop a new nomogram to predict POAF using preoperative and intraoperative risk factors.

METHODS

We retrospectively analyzed the data of 2108 consecutive adult patients (> 18 years old) who underwent cardiac surgery at our medical institution. The types of surgery included isolated coronary artery bypass grafting, valve surgery, combined valve and coronary artery bypass grafting (CABG), or aortic surgery. Logistic regression or machine learning methods were applied to predict POAF incidence from a subset of 123 parameters. We also developed a simple nomogram based on the strength of the results and compared its predictive ability with that of the CHA2DS2-VASc and POAF scores currently used in clinical practice.

RESULTS

POAF was observed in 414 hospitalized patients. Logistic regression provided the highest area under the receiver operating characteristic curve (ROC) in the validation cohort. A simple bedside tool comprising three variables (age, left atrial diameter, and surgery type) was established, which had a discriminative ability with a ROC of 0.726 (95% CI 0.693-0.759) and 0.727 (95% CI 0.676-0.778) in derivation and validation subsets respectively. The calibration curve of the new model was relatively well-fit (p = 0.502).

CONCLUSIONS

Logistic regression performed better than machine learning in predicting POAF. We developed a nomogram that may assist clinicians in identifying individuals who are prone to POAF.

A prediction model for new-onset atrial fibrillation following coronary artery bypass graft surgery: A multicenter retrospective study

Objective

Developing and assessing a risk prediction model of postoperative atrial fibrillation (POAF) after coronary artery bypass grafting (CABG), and aims to provide a reference for the prediction and prevention.

Design

A retrospective case-control study.

Setting

Three major urban teaching and university hospitals and tertiary referral centers.

Participants

consecutive patients undergoing CABG.

Interventions

The study was retrospective and no interventions were administered to patients.

Measurements and main results

In the study, the overall new-onset POAF prevalence was approximately 28%. A prediction model for POAF with nine significant indicators was developed, and identified new predictors of POAF: left ventricular end diastolic diameter (LVEDD), intraoperative defibrillation, and intraoperative temporary pacing lead implantation. The model had good discrimination in both the derivation and validation cohorts, with the area under the receiver operating characteristic curves (AUCs) of 0.621 (95% CI = 0.602-0.640) and 0.616 (95% CI = 0.579-0.651), respectively, and showed good calibration. Compared with CHA₂DS₂-VASc, HATCH score, and the prediction model of POAF after CABG developed based on a small sample of clinical data from a single center in China, the model in this study had better discrimination.

Conclusion

We have developed and validated a new prediction model of POAF after CABG using multicenter data that can be used in the clinic for early identification of high-risk patients of POAF, and to help effectively prevent POAF in postoperative patients.

The Influence of Multivessel Bypass Surgery on the Onset of Atrial Fibrillation in Elderly Patients

Aim. To study the factors associated with the development of postoperative atrial fibrillation (POAF) with single- or two- or more vascular bypass grafting in elderly patients with coronary heart disease.Methods. The study included 454 patients with coronary artery disease who underwent CABG. Patients were divided into 4 groups: 1 group – with single-vessel bypass, 2 group – with 2-vessels, 3 group – with 3-vessels and 4 group with 4-vessels bypass. During the observation period postoperative atrial fibrillation (POAF) occurred in 7.5% of patients in group 1, 18.4% in group 2, 17.5% in group 3 and 19.2% of patients in group 4. Since there were no significant differences in the incidence of POAF in patients with 2-4-vessels bypass grafting, these groups were combined for further analysis. 2 groups are allocated: Group I comprised patients with single-vessel bypass graft (79 patients, 76.0% of males, the average age of 65.0 [63.0;68.0] years), Group II – with 2-4-vessels bypass grafts (357 patients, 78.4% of males, the median age of 67.5 [64.5;69.0] years).Results. POAF occurred in 7.5% of patients in group I and in 18.4% of patients in group II (p=0.03) on the median 4.9 [1.2;8.7] day after coronary artery bypass graft. The multivariate regression analysis showed that indicators, associated with POAF development in patients undergoing CABG were the following: aortic cross-clamping time >36 min (odds ratio [OR)]1.4; 95% confidence interval (CI) 1.1-2.8; p=0.030), time of ischemia >19 min (OR 1.7; 95% CI 1.2-3.3; p=0.020), age >65 years (OR 1.8; 95% CI 1,1-4,1; p=0.010), left atrium diameter >39 mm (OR 2.9; 95% CI 1.5-5.4; p=0.005), left ventricular ejection fraction <51% (OR 1.9; 95% CI 1.2-3.0; p=0.04).Conclusion. In our study, atrial fibrillation in the early postoperative period was more common in patients undergoing multivessel coronary bypass surgery. Indicators, significantly associated with POAF in patients undergoing Coronary artery bypass graft were aortic cross-clamping time >36 minutes, time of ischemia >19 minutes, age >65 years, left atrium diameter >39 mm and left ventricular ejection fraction <51%.

Dose-response relationship among body mass index, abdominal adiposity and atrial fibrillation in patients undergoing cardiac surgery: a meta-analysis of 35 cohorts

Background

Whether overweight increases the risk of postoperative atrial fibrillation (POAF) is unclear, and whether adiposity independently contributes to POAF has not been comprehensively studied. Thus, we conducted a meta-analysis to clarify the strength and shape of the exposure-effect relationship between adiposity and POAF.

Methods

The PubMed, Cochrane Library, and EMBASE databases were searched for revelant studies (randomized controlled trials (RCTs), cohort studies, and nest-case control studies) reporting data regarding the relationship between adiposity and the risk of POAF.

Results

Thirty-five publications involving 33,271 cases/141,442 patients were included. Analysis of categorical variables showed that obesity (RR: 1.39, 95% CI [1.21–1.61]; P < 0.001), but not being underweight (RR: 1.44, 95% CI [0.90–2.30]; P = 0.13) or being overweight (RR: 1.03, 95% CI [0.95–1.11]; P = 0.48) was associated with an increased risk of POAF. In the exposure-effect analysis (BMI) was 1.09 (95% CI [1.05–1.12]; P < 0.001) for the risk of POAF. There was a significant linear relationship between BMI and POAF (P_nonlinearity = 0.44); the curve was flat and began to rise steeply at a BMI of approximately 30. Notably, BMI levels below 30 (overweight) were not associated with a higher risk of POAF. Additionally, waist obesity or visceral adiposity index was associated with the risk of POAF.

Conclusion

Based on the current evidence, our findings showed that high body mass index or abdominal adiposity was independently associated with an increased risk of POAF, while underweight or overweight might not significantly increase the POAF risk.