Temporal Trends and Predictors of Surgical Ablation for Atrial Fibrillation Across a Multistate Healthcare System

Abstract Background Following catheter ablation for atrial fibrillation (AF), CHADS2 and CHA2DS2-VASc have utility in predicting long-term outcomes. However, it is currently unknown if the same holds for patients undergoing surgical ablation. Purpose To determine whether CHADS2 and CHA2DS2-VASc predict long-term outcomes after surgical ablation in concomitance with other cardiac surgery. Methods In this prospective, follow-up study, we included patients who underwent biatrial ablation - or pulmonary vein isolation procedure concomitantly with other cardiac surgery between 2004 and 2018. CHADS2 and CHA2DS2-VASc scores were assessed prior to surgery and categorized in groups as 0–1, 2–4 or ≥5. Outcomes were death, AF, and AF-related death. Follow-up was ended in April 2019. Results A total of 587 patients with a mean age of 68.7±0.4 years were included. Both CHADS2 and CHA2DS2-VASc scores were predictors of survival p=0.005 and p<0.001, respectively (Figure). For CHADS2, mean survival times were 5.9±3.7 years for scores 0–1, 5.0±3.0 years for scores 2–4 and 4.3±2.6 years for scores ≥5. For CHA2DS2-VASc mean survival times were 7.3±4.0 years for scores 0–1, 5.6±2.9 years for scores 2–4 and 4.8±2.1 years for scores ≥5. The incidence of death was 20.1% for CHADS2 0–1, 24.8% for CHADS2 2–4, and 35.3% for CHADS2 ≥5, p=0.186. The incidence of AF was 50.2% for CHADS2 0–1, 47.9% for CHADS2 2–4, and 76.5% for CHADS2 ≥5, p=0.073. The incidence of AF related death was 13.0% for CHADS2 0–1, 16.8% for CHADS2 2–4, and 35.3% for CHADS2 ≥5, p=0.031. The incidence of death was 16.8% for CHA2DS2-VASc 0–1, 26.2% for CHA2DS2-VASc 2–4, and 45.0% for CHA2DS2-VASc ≥5, p=0.001. The incidence of AF was 49.6% for CHA2DS2-VASc 0–1, 52.5% for CHA2DS2-VASc 2–4, and 72.5% for CHA2DS2-VASc ≥5, p=0.035. The incidence of AF related death was 12.2% for CHA2DS2-VASc 0–1, 16.0% for CHA2DS2-VASc 2–4, and 42.5% for CHA2DS2-VASc ≥5, p<0.001. Conclusion Both CHADS2 and CHA2DS2-VASc scores predict long-term outcomes after surgical ablation for AF. However, CHA2DS2-VASc was superior in predicting death, AF, and AF-related death. Survival curves Funding Acknowledgement Type of funding source: None

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Commentary: How can we improve minimally invasive surgical ablation of atrial fibrillation?

Journal of Thoracic and Cardiovascular Surgery ◽

10.1016/j.jtcvs.2021.03.062 ◽

2021 ◽

Author(s):

Leonid Sternik

Keyword(s):

Atrial Fibrillation ◽

Minimally Invasive ◽

Surgical Ablation ◽

Minimally Invasive Surgical

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Increased prevalence of psychosis in patients who get admitted with atrial fibrillation with worse outcomes

European Psychiatry ◽

10.1016/j.eurpsy.2017.01.856 ◽

2017 ◽

Vol 41 (S1) ◽

pp. S575-S576

Author(s):

Z. Mansuri ◽

S. Patel ◽

P. Patel ◽

O. Jayeola ◽

A. Das ◽

...

Keyword(s):

Atrial Fibrillation ◽

Hospital Admissions ◽

Temporal Trends ◽

International Classification Of Diseases ◽

Trend Test ◽

Classification Of Diseases ◽

Competing Interest ◽

Armitage Trend Test ◽

The Impact

ObjectiveTo determine trends and impact on outcomes of atrial fibrillation (AF) in patients with pre-existing psychosis.BackgroundWhile post-AF psychosis has been extensively studied, contemporary studies including temporal trends on the impact of pre-AF psychosis on AF and post-AF outcomes are largely lacking.MethodsWe used Nationwide Inpatient Sample (NIS) from the healthcare cost and utilization project (HCUP) from year's 2002–2012. We identified AF and psychosis as primary and secondary diagnosis respectively using validated international classification of diseases, 9th revision, and Clinical Modification (ICD-9-CM) codes, and used Cochrane–Armitage trend test and multivariate regression to generate adjusted odds ratios (aOR).ResultsWe analyzed total of 3.887.827AF hospital admissions from 2002–2012 of which 1.76% had psychosis. Proportion of hospitalizations with psychosis increased from 5.23% to 14.28% (P trend < 0.001). Utilization of atrial-cardioversion was lower in patients with psychosis (0.76%v vs. 5.79%, P < 0.001). In-hospital mortality was higher in patients with Psychosis (aOR 1.206; 95%CI 1.003–1.449; P < 0.001) and discharge to specialty care was significantly higher (aOR 4.173; 95%CI 3.934–4.427; P < 0.001). The median length of hospitalization (3.13 vs. 2.14 days; P < 0.001) and median cost of hospitalization (16.457 vs. 13.172; P < 0.001) was also higher in hospitalizations with psychosis.ConclusionsOur study displayed an increasing proportion of patients with Psychosis admitted due to AF with higher mortality and extremely higher morbidity post-AF, and significantly less utilization of atrial-cardioversion. There is a need to explore reasons behind this disparity to improve post-AF outcomes in this vulnerable population.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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