Kadhim Kadhim1, Melissa E Middeldorp1, Adrian D Elliott1, Thomas Agbaedeng1, Celine Gallagher1, Varun Malik1, Christopher X Wong1, R Doug McEvoy2, Jonathan M Kalman3, Dennis H Lau1, Dominik Linz1, Prashanthan Sanders4. 1. Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia. 2. Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University and Sleep Health Service, Respiratory and Sleep Services, Southern Adelaide Local Health Network, Adelaide, Australia. 3. Department of Cardiology, Royal Melbourne Hospital, and Department of Medicine, University of Melbourne, Melbourne, Australia. 4. Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia. Electronic address: prash.sanders@adelaide.edu.au.
Abstract
BACKGROUND: In this study, we sought to estimate the prevalence of concomitant sleep-disordered breathing (SDB) in patients with atrial fibrillation (AF) and to systematically evaluate how SDB is assessed in this population. METHODS: We searched Medline, Embase and Cinahl databases through August 2020 for studies reporting on SDB in a minimum 100 patients with AF. For quantitative analysis, studies were required to have systematically assessed for SDB in consecutive AF patients. Pooled prevalence estimates were calculated with the use of the random effects model. Weighted mean differences and odds ratios were calculated when possible to assess the strength of association between baseline characteristics and SDB. RESULTS: The search yielded 2758 records, of which 33 studies (n = 23,894 patients) met the inclusion criteria for qualitative synthesis and 13 studies (n = 2660 patients) met the meta-analysis criteria. The pooled SDB prevalence based on an SDB diagnosis cutoff of apnea-hypopnea index (AHI) ≥ 5/h was 78% (95% confidence interval [CI] 70%-86%; P < 0.001). For moderate-to-severe SDB (AHI ≥ 15/h), the pooled SDB prevalence was 40% (95% CI 32%-48%; P < 0.001). High degrees of heterogeneity were observed (I2 = 96% and 94%, respectively; P < 0.001). Sleep testing with the use of poly(somno)graphy or oximetry was the most common assessment tool used (in 22 studies, 66%) but inconsistent diagnostic thresholds were used. CONCLUSIONS: SDB is highly prevalent in patients with AF. Wide variation exists in the diagnostic tools and thresholds used to detect concomitant SDB in AF. Prospective systematic testing for SDB in unselected cohorts of AF patients may be required to define the true prevalence of SDB in this population. Crown
BACKGROUND: In this study, we sought to estimate the prevalence of concomitant sleep-disordered breathing (SDB) in patients with atrial fibrillation (AF) and to systematically evaluate how SDB is assessed in this population. METHODS: We searched Medline, Embase and Cinahl databases through August 2020 for studies reporting on SDB in a minimum 100 patients with AF. For quantitative analysis, studies were required to have systematically assessed for SDB in consecutive AF patients. Pooled prevalence estimates were calculated with the use of the random effects model. Weighted mean differences and odds ratios were calculated when possible to assess the strength of association between baseline characteristics and SDB. RESULTS: The search yielded 2758 records, of which 33 studies (n = 23,894 patients) met the inclusion criteria for qualitative synthesis and 13 studies (n = 2660 patients) met the meta-analysis criteria. The pooled SDB prevalence based on an SDB diagnosis cutoff of apnea-hypopnea index (AHI) ≥ 5/h was 78% (95% confidence interval [CI] 70%-86%; P < 0.001). For moderate-to-severe SDB (AHI ≥ 15/h), the pooled SDB prevalence was 40% (95% CI 32%-48%; P < 0.001). High degrees of heterogeneity were observed (I2 = 96% and 94%, respectively; P < 0.001). Sleep testing with the use of poly(somno)graphy or oximetry was the most common assessment tool used (in 22 studies, 66%) but inconsistent diagnostic thresholds were used. CONCLUSIONS: SDB is highly prevalent in patients with AF. Wide variation exists in the diagnostic tools and thresholds used to detect concomitant SDB in AF. Prospective systematic testing for SDB in unselected cohorts of AF patients may be required to define the true prevalence of SDB in this population. Crown
Authors: Muhammed Gerçek; Mustafa Gerçek; Kanjo Alzein; Vanessa Sciacca; Christian Sohns; Philipp Sommer; Volker Rudolph; Henrik Fox Journal: J Clin Med Date: 2022-08-05 Impact factor: 4.964
Authors: Michael D Faulx; Reena Mehra; Glaucylara Reis Geovanini; Shin-Ichi Ando; Michael Arzt; Luciano Drager; Michael Fu; Camilla Hoyos; Jo Hai; Juey-Jen Hwang; Remzi Karaoguz; John Kimoff; Pei-Lin Lee; Olga Mediano; Sanjay R Patel; Yüksel Peker; Jean Louis Pepin; Manuel Sanchez-de-la-Torre; Frédéric Sériès; Stefan Stadler; Patrick Strollo; A A Tahrani; Erik Thunström; Motoo Yamauchi; Susan Redline; Craig L Phillips Journal: Int J Cardiol Heart Vasc Date: 2022-07-19