David Massicotte-Azarniouch1, John Paul Kuwornu2, Juan-Jesus Carrero3, Ngan N Lam4, Amber O Molnar5, Deborah Zimmerman6, Megan K McCallum2, Amit X Garg7, Manish M Sood8. 1. Department of Medicine, University of Ottawa, Ottawa, Canada. 2. Institute for Clinical Evaluative Sciences, Ontario, Canada. 3. Departments of Medical Epidemiology and Biostatistics and Renal Medicine and Clinical Science Intervention and Technology, Karolinska Institutet, Solna, Sweden, Canada. 4. Institute for Clinical Evaluative Sciences, Ontario, Canada; Division of Nephrology, University of Alberta, Edmonton, Canada. 5. Institute for Clinical Evaluative Sciences, Ontario, Canada; Division of Nephrology, McMaster University, Hamilton, Canada. 6. Division of Nephrology, University of Ottawa, Ottawa, Canada. 7. Institute for Clinical Evaluative Sciences, Ontario, Canada; Division of Nephrology, Western University, London, Canada. 8. Institute for Clinical Evaluative Sciences, Ontario, Canada; Division of Nephrology, University of Ottawa, Ottawa, Canada; Ottawa Hospital Research Institute, Ottawa, Canada. Electronic address: msood@toh.on.ca.
Abstract
BACKGROUND: The association of atrial fibrillation (AF), estimated glomerular filtration rate (eGFR), and adverse events remains unknown. STUDY DESIGN: Population-based retrospective cohort study from Ontario, Canada. SETTING & PARTICIPANTS: 1,422,978 adult residents with eGFRs < 90mL/min/1.73m2 from April 1, 2006, through March 31, 2015. FACTOR: A diagnosis of AF at hospitalization. OUTCOMES: Congestive heart failure (CHF), myocardial infarction (MI), end-stage kidney disease, all-cause mortality. RESULTS: All adverse events were more frequent in individuals with AF (93,414 propensity score matched) compared to no AF, and this difference was more pronounced within the first 6 months of the index date (CHF: 3.04% [AF] vs 0.28% [no AF], subdistribution HR [sHR] of 11.57 [95% CI, 10.26-13.05]; MI: 0.97% [AF] vs 0.21% [no AF], sHR of 4.76 [95% CI, 4.17-5.43]; end-stage kidney disease: 0.16% [AF] vs 0.03% [no AF], sHR of 5.84 [95% CI, 3.82-8.93]; and all-cause mortality: 6.11% [AF] vs 2.50% [no AF], HR of 2.62 [95% CI, 2.50-2.76]) than in the period more than 6 months after the index date (CHF: 6.87% [AF] vs 2.87% [no AF], sHR of 2.64 [95% CI, 2.55-2.74]; MI: 2.21% [AF] vs 1.81% [no AF], sHR of 1.24 [95% CI, 1.18-1.30]; end-stage kidney disease: 0.52% [AF] vs 0.32% [no AF], sHR of 1.75 [95% CI, 1.57-1.95]; and all-cause mortality: 15.55% [AF] vs 15.10% [no AF], HR of 1.07 [95% CI, 1.04-1.10]). The results accounted for the competing risk for mortality. eGFR level modified the effect of AF on CHF (P for interaction < 0.05). LIMITATIONS: Observational study design does not permit determination of causality; only a single outpatient eGFR measure was used; medication data were not included. CONCLUSIONS: Incident AF is associated with a high risk for adverse outcomes in patients with eGFRs < 90mL/min/1.73m2. Because the risk is exceedingly high within the first 6 months after AF diagnosis, therapeutic interventions and monitoring may improve outcomes.
BACKGROUND: The association of atrial fibrillation (AF), estimated glomerular filtration rate (eGFR), and adverse events remains unknown. STUDY DESIGN: Population-based retrospective cohort study from Ontario, Canada. SETTING & PARTICIPANTS: 1,422,978 adult residents with eGFRs < 90mL/min/1.73m2 from April 1, 2006, through March 31, 2015. FACTOR: A diagnosis of AF at hospitalization. OUTCOMES: Congestive heart failure (CHF), myocardial infarction (MI), end-stage kidney disease, all-cause mortality. RESULTS: All adverse events were more frequent in individuals with AF (93,414 propensity score matched) compared to no AF, and this difference was more pronounced within the first 6 months of the index date (CHF: 3.04% [AF] vs 0.28% [no AF], subdistribution HR [sHR] of 11.57 [95% CI, 10.26-13.05]; MI: 0.97% [AF] vs 0.21% [no AF], sHR of 4.76 [95% CI, 4.17-5.43]; end-stage kidney disease: 0.16% [AF] vs 0.03% [no AF], sHR of 5.84 [95% CI, 3.82-8.93]; and all-cause mortality: 6.11% [AF] vs 2.50% [no AF], HR of 2.62 [95% CI, 2.50-2.76]) than in the period more than 6 months after the index date (CHF: 6.87% [AF] vs 2.87% [no AF], sHR of 2.64 [95% CI, 2.55-2.74]; MI: 2.21% [AF] vs 1.81% [no AF], sHR of 1.24 [95% CI, 1.18-1.30]; end-stage kidney disease: 0.52% [AF] vs 0.32% [no AF], sHR of 1.75 [95% CI, 1.57-1.95]; and all-cause mortality: 15.55% [AF] vs 15.10% [no AF], HR of 1.07 [95% CI, 1.04-1.10]). The results accounted for the competing risk for mortality. eGFR level modified the effect of AF on CHF (P for interaction < 0.05). LIMITATIONS: Observational study design does not permit determination of causality; only a single outpatient eGFR measure was used; medication data were not included. CONCLUSIONS: Incident AF is associated with a high risk for adverse outcomes in patients with eGFRs < 90mL/min/1.73m2. Because the risk is exceedingly high within the first 6 months after AF diagnosis, therapeutic interventions and monitoring may improve outcomes.
Authors: Nisha Bansal; Dawei Xie; Daohang Sha; Lawrence J Appel; Rajat Deo; Harold I Feldman; Jiang He; Kenneth Jamerson; John W Kusek; Steven Messe; Sankar D Navaneethan; Mahboob Rahman; Ana Catherine Ricardo; Elsayed Z Soliman; Raymond Townsend; Alan S Go Journal: J Am Soc Nephrol Date: 2018-10-30 Impact factor: 10.121
Authors: Celso L Diaz; Rachel M Kaplan; Graham Peigh; Aakash Bavishi; Jayson R Baman; Amar Trivedi; Mark J Shen; Prasongchai Sattayaprasert; Jeremiah Wasserlauf; Rishi Arora; Alexandru B Chicos; Susan Kim; Albert Lin; Nishant Verma; Bradley P Knight; Rod S Passman Journal: J Interv Card Electrophysiol Date: 2020-05-15 Impact factor: 1.759