Optimising risk factors for atrial fibrillation post-cardiac surgery

Postoperative atrial fibrillation is associated with long-term morbidity and mortality in older adults: Analysis from the SWEDEHEART Registry

Objectives

Postoperative atrial fibrillation (POAF) is the most common perioperative arrhythmia. The association of POAF with negative short-term outcomes after cardiac surgery is well understood; however, the association of POAF with long-term morbidity and mortality is not well described. We compared the risk of long-term clinical outcomes (up to 9 years postdischarge) in patients with and without POAF following open-chest cardiac surgery.

Methods

This observational, retrospective cohort study used data from the Swedish Web-system for Enhancement and Development of Evidence-based care in Heart disease Evaluated According to Recommended Therapies (SWEDEHEART) Swedish Cardiac Surgery Registry and National Board of Health and Welfare. Patients aged 55 to 90 years who underwent open-chest coronary artery bypass and/or valvular surgery between 2010 and 2019 were included. Clinical outcomes were adjusted for differences in baseline demographics and clinical history using multivariable Cox regression.

Results

A total of 30,870 patients with a mean age of 69.2 years were included in the study (no POAF, n = 20,734; POAF, n = 10,136). The median follow-up was 4.6 years. After adjustment, POAF was associated with a significantly higher risk of recurrent atrial fibrillation (hazard ratio [HR], 2.30; 95% CI, 2.21-2.41), heart failure (HR, 1.17; 95% CI, 1.10-1.25), chronic kidney disease (HR, 1.15; 95% CI, 1.07-1.24), all-cause mortality (HR, 1.11; 95% CI, 1.04-1.18), and cardiovascular mortality (HR, 1.16; 95% CI, 1.06-1.26). POAF was also associated with a numerically higher risk of ischemic stroke and major bleed, but these findings were not statistically significant after adjustment.

Conclusions

These data provide further insight into the long-term clinical outcomes associated with POAF in patients undergoing cardiac surgery.

[Predictors of atrial fibrillation recurrence after biatrial cryo-maze procedure: a systematic review]

Today, the issue of atrial fibrillation recurrence after ablation is increasingly discussed in the literature. Many authors analyze the factors predicting success or failure of cryo-maze procedure. This review is devoted to predictors of atrial fibrillation recurrence in long-term period after biatrial cryo-maze procedure. Primary screening identified 48 studies. There were 27 articles after removing duplicate articles, case reports and articles with unavailable full-text versions. Two independent researchers reviewed the full-text articles and enrolled 11 and 14 articles, respectively. After collegial discussion and involving the third researcher, we selected 13 articles for final analysis. It was established that atrial enlargement and duration of atrial fibrillation are the main independent predictors of recurrence in long-term period.

Diagnosis and Treatment of New-Onset Perioperative Atrial Fibrillation

This article reviews medical and surgical risk factors for developing atrial fibrillation (AF), the most common sustained dysrhythmia in the United States. Evidence for assessment and management of patients with AF, including AF newly identified in the preoperative clinic, immediately preoperatively, intraoperatively, and unstable AF, is presented. A stepwise approach to guide anesthetic decision-making in the assessment of newly identified preoperative AF is proposed. Anesthetic considerations, including the potential impacts of anesthetic and vasopressor selection, and current evidence related to rate control and rhythm control via pharmacologic or electrical cardioversion as well as anticoagulation strategies are discussed.

[Intensive Care in Heart Surgery - is All Now Different?]

With approximately 100000 operations performed in Germany per year, cardiac surgery is among the surgical specialties that require intensive care tratment most frequently. Although all therapeutic aspects of ICU treatment are of high importance among cardiac surgery patients, there is a focus on hemodynamics with the overarching goal of sufficient oxygen delivery. Patients undergoing cardiac surgery are particularily prone to hemodynamic instability and low cardiac output syndrome, potentially culminating into cardiogenic shock. This article presents an overview of essential elements of intensive care medicine in cardiac surgery, paying special attention to hemodynamic monitoring, low cardiac output syndrome, inotropy, cardiac arrhyhmia, perioperative myocardial infarction, and patient blood management.

Radiomics signature of epicardial adipose tissue for predicting postoperative atrial fibrillation after pulmonary endarterectomy

Purpose

This study aimed to construct a radiomics signature of epicardial adipose tissue for predicting postoperative atrial fibrillation (POAF) after pulmonary endarterectomy (PEA) in patients with chronic thromboembolic pulmonary hypertension (CTEPH).

Methods

We reviewed the preoperative computed tomography pulmonary angiography images of CTEPH patients who underwent PEA at our institution between December 2016 and May 2022. Patients were divided into training/validation and testing cohorts by stratified random sampling in a ratio of 7:3. Radiomics features were selected by using intra- and inter-class correlation coefficient, redundancy analysis, and Least Absolute Shrinkage and Selection Operator algorithm to construct the radiomics signature. The area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis (DCA) were used to evaluate the discrimination, calibration, and clinical practicability of the radiomics signature. Two hundred-times stratified five-fold cross-validation was applied to assess the reliability and robustness of the radiomics signature.

Results

A total of 93 patients with CTEPH were included in this study, including 23 patients with POAF and 70 patients without POAF. Five of the 1,218 radiomics features were finally selected to construct the radiomics signature. The radiomics signature showed good discrimination with an AUC of 0.804 (95%CI: 0.664-0.943) in the training/validation cohort and 0.728 (95% CI: 0.503-0.953) in the testing cohorts. The average AUC of 200 times stratified five-fold cross-validation was 0.804 (95%CI: 0.801-0.806) and 0.807 (95%CI: 0.798-0.816) in the training and validation cohorts, respectively. The calibration curve showed good agreement between the predicted and actual observations. Based on the DCA, the radiomics signature was found to be clinically significant and useful.

Conclusion

The radiomics signature achieved good discrimination, calibration, and clinical practicability. As a potential imaging biomarker, the radiomics signature of epicardial adipose tissue (EAT) may provide a reference for the risk assessment and individualized treatment of CTEPH patients at high risk of developing POAF after PEA.

A novel predictive model for new-onset atrial fibrillation in patients after isolated cardiac valve surgery

Background

Postoperative atrial fibrillation (POAF) is a severe complication after cardiac surgery and is associated with an increased risk of ischemic stroke and mortality. The main aim of this study was to identify the independent predictors associated with POAF after isolated valve operation and to develop a risk prediction model.

Methods

This retrospective observational study involved patients without previous AF who underwent isolated valve surgery from November 2018 to October 2021. Patients were stratified into two groups according to the development of new-onset POAF. Baseline characteristics and perioperative data were collected from the two groups of patients. Univariate and multivariate logistic regression analyses were applied to identify independent risk factors for the occurrence of POAF, and the results of the multivariate analysis were used to create a predictive nomogram.

Results

A total of 422 patients were included in the study, of which 163 (38.6%) developed POAF. The Multivariate logistic regression analysis indicated that cardiac function (odds ratio [OR] = 2.881, 95% confidence interval [CI] = 1.595–5.206; P < 0.001), Left atrial diameter index (OR = 1.071, 95%CI = 1.028–1.117; P = 0.001), Operative time (OR = 1.532, 95%CI = 1.095–2.141; P = 0.013), Neutrophil count (OR = 1.042, 95%CI = 1.006–1.08; P = 0.021) and the magnitude of fever (OR = 3.414, 95%CI = 2.454–4.751; P < 0.001) were independent predictors of POAF. The above Variables were incorporated, and a nomogram was successfully constructed with a C-index of 0.810. The area under the receiver operating characteristic curve was 0.817.

Conclusion

Cardiac function, left atrial diameter index, operative time, neutrophil count, and fever were independent predictors of POAF in patients with isolated valve surgery. Establishing a nomogram model based on the above predictors helps predict the risk of POAF and may have potential clinical utility in preventive interventions.