Daily Cardiology Research Analysis
Three impactful studies in cardiology highlight safety trade-offs and quality improvement opportunities: a meta-analysis shows rhythm control in atrial fibrillation increases bradycardia-related events versus rate control; a national Medicare analysis reveals striking facility-level variation and disparities in inferior vena cava filter retrieval; and new validated risk models enable risk-adjusted monitoring of short-term surgical outcomes in adult congenital heart disease.
Summary
Three impactful studies in cardiology highlight safety trade-offs and quality improvement opportunities: a meta-analysis shows rhythm control in atrial fibrillation increases bradycardia-related events versus rate control; a national Medicare analysis reveals striking facility-level variation and disparities in inferior vena cava filter retrieval; and new validated risk models enable risk-adjusted monitoring of short-term surgical outcomes in adult congenital heart disease.
Research Themes
- Safety trade-offs in AF treatment strategies
- Facility-level quality metrics and equity in device management
- Risk-adjusted outcome modeling in adult congenital heart surgery
Selected Articles
1. Risk of syncope and permanent pacing with rate vs rhythm control of atrial fibrillation: A systematic review and meta-analysis.
Across 3 RCTs and 6 cohorts (n=522,841), rhythm control in AF was associated with a higher risk of syncope, falls, or pacemaker implantation than rate control (OR 1.28, 95% CI 1.14–1.44). Clinicians should weigh bradycardia-related harms when selecting rhythm control, particularly with antiarrhythmic drugs.
Impact: This meta-analysis synthesizes large-scale evidence indicating safety drawbacks of rhythm control, informing shared decision-making and surveillance strategies in AF management.
Clinical Implications: When choosing rhythm control, counsel patients about syncope/fall risks, optimize medication selection/dosing, and consider closer monitoring or early pacemaker evaluation in high-risk profiles.
Key Findings
- Meta-analysis of 3 RCTs and 6 cohorts including 522,841 AF patients
- Rhythm control increased the composite risk of syncope, falls, or pacemaker implantation vs rate control (OR 1.28; 95% CI 1.14–1.44)
- Random-effects modeling was used; secondary outcomes were the individual components of the composite
Methodological Strengths
- Comprehensive systematic search across major databases with predefined outcomes
- Large pooled sample including randomized and observational evidence with random-effects meta-analysis
Limitations
- Inclusion of observational studies introduces residual confounding and heterogeneity
- Rhythm-control strategies (antiarrhythmic drugs vs ablation) and monitoring intensity varied across studies
Future Directions: Prospective comparative studies stratifying by rhythm-control modality and bradycardia risk are needed to refine patient selection and mitigation strategies.
BACKGROUND: Rhythm control therapy for patients with new-onset atrial fibrillation (AF) reduces major adverse cardiovascular events. However, bradycardia-related complications may be higher with rhythm control strategies, particularly when antiarrhythmic drugs (AADs) are used. OBJECTIVE: The aim of this systematic review and meta-analysis was to compare the rate of syncope, falls, or pacemaker implantation among patients with AF treated with rate control as compared with rhythm control. METHODS: A systematic search was conducted for studies published from inception to January 14, 2025, in PubMed, Embase, and CENTRAL. Included studies compared the rate of the composite of syncope, falls, or pacemaker implantation in patients with AF treated with rate control vs rhythm control strategies. Secondary outcomes were the individual components of the primary composite outcome. Odds ratios (OR) were pooled with a random-effects model. RESULTS: We identified 3 randomized controlled trials and 6 cohort studies, encompassing a total of 522,841 patients with AF (348,831 treated with rate control and 174,010 with rhythm control). Rhythm control was associated with a significantly higher risk of the primary composite outcome of syncope, falls, or pacemaker implantation compared with rate control (OR 1.28; 95% confidence interval [CI] 1.14-1.44; P < .0001; I CONCLUSION: In this meta-analysis, rhythm control was associated with an increased risk of syncope, falls, or pacemaker implantation compared with rate control. These risks should be carefully weighed when choosing between rate control and rhythm control strategies.
2. Facility-Level Variation Underlying Low Inferior Vena Cava Filter Retrieval in the United States.
In 119,613 Medicare IVC filter implants across 2,485 facilities, retrieval was very low (median 6.2% at 3 months; 14.8% at 1 year) with extreme facility-level variation even after risk adjustment. Older age, Black race, Hispanic ethnicity, and nonteaching/small/safety-net hospitals were strongly associated with nonretrieval.
Impact: Identifies modifiable system-level gaps and equity issues driving low IVC filter retrieval, enabling targeted quality improvement and surveillance standardization.
Clinical Implications: Implement structured retrieval programs (registries, EHR alerts), prioritize follow-up for high-risk demographics, and benchmark facilities with risk-adjusted dashboards to reduce long-term device complications.
Key Findings
- National retrieval rates were low: median 6.2% at 3 months and 14.8% at 1 year
- After excluding 3-month deaths (30.2%), risk-adjusted facility retrieval ranged from 0% to 100%
- Nonretrieval associated with age >80 (OR 2.98), Black race (OR 1.62), Hispanic ethnicity (OR 1.45), and nonteaching/small/safety-net hospitals
Methodological Strengths
- Use of 100% Medicare claims with large sample and national coverage
- Bayesian hospital profiling and multivariable adjustment for indication, comorbidities, and year
Limitations
- Claims data lack clinical granularity on retrieval intent, contraindications, and complications
- Observational design susceptible to residual confounding and coding errors
Future Directions: Test standardized retrieval workflows and best practices from high-performing centers in pragmatic multi-center trials to improve national retrieval rates and equity.
OBJECTIVES: Timely retrieval of inferior vena cava (IVC) filters is recommended to reduce complications and optimize outcomes. This study aims to quantify facility-level variation in risk-adjusted IVC filter retrieval across US hospitals and to identify patient- and hospital-level factors associated with nonretrieval. METHODS: Medicare beneficiaries undergoing IVC filter implantation were identified in the 100% claims files for years 2016 to 2020. Facility-level variation in device retrieval was quantified using Bayesian hospital profiling. Patient- and hospital-level factors associated with nonretrieval were assessed using logistic regression, adjusting for diagnostic indication, comorbidities, and implantation year. RESULTS: IVC filters were implanted in 119,613 Medicare beneficiaries across 2,485 facilities. Retrieval rates were low: median 6.2% within 3 months and 14.8% within 1 year. Excluding deaths within 3 months (30.2%), retrieval ranged from 0% to 100% across facilities. Among high-volume hospitals (top 25th percentile, implanting ≥13 filters per year), 1-year risk-adjusted retrieval ranged from 0% to 74.5%, mean 20% ± 14.2% (positive skew 0.95). Patient factors associated with IVC filter nonretrieval included age > 80 years (odds ratio 2.98, 95% confidence interval [2.73-3.24]), Black race (1.62, [1.51-1.72]), and Hispanic ethnicity (1.45, [1.16-1.80]). Among hospital factors, nonteaching (1.45 [1.37-1.53]), small bed size (1.37 [1.24-1.50]), and safety-net (1.42 [1.34-1.50]) facilities were strongly associated with IVC filter nonretrieval. DISCUSSION: High mortality within 3 months of IVC filter implantation suggests opportunity to improve patient selection and, potentially, device type choice. There is large facility-level variance underlying low aggregate IVC filter retrieval nationally; a focus on standardizing device surveillance and identifying best practices from high-performing facilities is warranted.
3. New Models for Risk-Adjusted Monitoring of Postsurgical Complications and Mortality in Adult Congenital Heart Disease in England and Wales.
Using national audit data (2015–2022), the authors developed and validated risk-adjusted models for 30- and 90-day mortality and 30-day complications after adult CHD surgery. Mortality models showed strong discrimination (AUC 0.844 and 0.866) and good calibration; the complications model performed moderately, indicating missing risk factors in routine data.
Impact: Provides validated, risk-adjusted tools for benchmarking adult CHD surgical outcomes, enabling fair comparisons and continuous quality improvement across centers.
Clinical Implications: Adopting these models can inform risk-adjusted dashboards, target high-risk case mixes, and guide audit/feedback cycles while prompting collection of additional predictors for complications.
Key Findings
- Developed logistic models for 30- and 90-day mortality and 30-day complications after adult CHD surgery
- Strong mortality prediction: AUC 0.844 (30-day) and 0.866 (90-day) with good calibration
- Key predictors: CHD complexity and high-risk procedures; complications model AUC 0.760 indicates missing risk factors
Methodological Strengths
- National audit coverage with cross-validation for discrimination and calibration
- Inclusion of procedure risk and case complexity variables for robust risk adjustment
Limitations
- Low event rates may limit precision for some subgroups
- Complications model underperformance suggests important predictors are not captured in routine data
Future Directions: Augment routine datasets with clinical variables (e.g., frailty, intraoperative metrics) and externally validate models across health systems.
BACKGROUND: Routine monitoring of surgical outcomes can improve service quality. Risk-adjusted monitoring tools for adults with congenital heart disease (CHD) in England and Wales are lacking. METHODS: Using national audit data of all adult CHD surgical procedures in public hospitals from 2015 to 2022, we developed logistic regression models for mortality at 30 days and 90 days and a 30-day complications outcome. Risk factors included patient demographics and categorical derived variables for case complexity and procedure risk. Model performance was assessed by area under the receiver operating characteristic curve and calibration errors for in-sample and cross-validation data sets. RESULTS: Average 30-day and 90-day mortality were 1.4% (49/3502) and 1.7% (58/3493). Moderate and severe CHD complexity were strong predictors of 30-day mortality (odds ratio [95% CI], 3.5 [0.8-15.8], 8.6 [2.4-30.9]), as was high-risk procedure (OR, 3.6 [2.1-6.0]). Average 30-day complication rate was 7.5% (242/3223). Procedure risk groups (OR, 2.4 [0.9-6.0] to 12.2 [4.0-36.8]) and procedure complexity (OR, 2.5 [1.5-4.3]) were the strongest predictors. In cross-validation, 30-day and 90-day mortality models had median discrimination (interquartile range in parentheses) of 0.844 (0.84-0.85) and 0.866 (0.86-0.87), calibration slopes of 1.05 (0.60-1.13) and 1.11 (0.61-1.21), and calibration-in-the-large of 0.00 (-0.12 to 0.19) and -0.07 (-0.17 to 0.30). The 30-day complications model had cross-validation discrimination of 0.760 (0.76-0.76), calibration slope of 0.93 (0.74-1.18), and calibration-in-the-large of -0.07 (-0.13 to 0.22). CONCLUSIONS: The adult CHD risk models perform well for short-term mortality despite a low number of events. The risk model for 30-day complications showed reduced performance, suggesting that important risk factors are not captured by routinely collected data.