Chieh-Yang Koo1, Alicia Sánchez de la Torre2, Germaine Loo3, Manuel Sánchez-de-la Torre2, Junjie Zhang4, Joaquin Duran-Cantolla5, Ruogu Li6, Mercé Mayos7, Rishi Sethi8, Jorge Abad9, Sofia F Furlan10, Ramón Coloma11, Thet Hein12, Hee-Hwa Ho13, Man-Hong Jim14, Thun-How Ong15, Bee-Choo Tai16, Cecilia Turino17, Luciano F Drager10, Chi-Hang Lee3, Ferran Barbe18. 1. Department of Cardiology, National University Heart Centre, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore. Electronic address: christopher_koo@nuhs.edu.sg. 2. Respiratory Department, Hospital Universitari Arnau de Vilanova and Santa Maria, IRB Lleida, Lleida, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain. 3. Department of Cardiology, National University Heart Centre, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore. 4. Department of Cardiology, Nanjing First Hospital, Nanjing, China. 5. Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain; Bio-Araba Research Institute, Araba University Hospital, Department of Medicine of Basque Country University, Vitoria-Gasteiz, Spain. 6. Department of Cardiology, Shanghai Chest Hospital, Shanghai, China. 7. Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain; Sleep Unit, Department of Respiratory Medicine, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain. 8. Department of Cardiology, King George's Medical University, Lucknow, India. 9. Respiratory Department, Hospital Universitari Germans Trias I Pujol, Badalona, Barcelona, Catalonia, Spain. 10. Hypertension Unit-Heart Institute (InCor), University of Sao Paulo Medical School, Sao Paulo, Brazil. 11. Respiratory Department, Hospital General Universitario de Albacete, Spain. 12. No (1) 1000 bedded Defence Services General Hospital, Mingaladon, Yangon, Myanmar. 13. Department of Cardiology, Tan Tock Seng Hospital, Singapore. 14. Cardiac Medical Unit, The Grantham Hospital, Hong Kong. 15. Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore. 16. Saw Swee Hock School of Public Health, National University of Singapore, Singapore. 17. Respiratory Department, Hospital Universitari Arnau de Vilanova and Santa Maria, IRB Lleida, Lleida, Spain. 18. Respiratory Department, Hospital Universitari Arnau de Vilanova and Santa Maria, IRB Lleida, Lleida, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain. Electronic address: febarbe.lleida.ics@gencat.cat.
Abstract
BACKGROUND: Obstructive sleep apnoea (OSA) is an emerging risk factor for acute coronary syndrome (ACS). We sought to determine the effects of ethnicity on the prevalence of OSA in patients presenting with ACS who participated in an overnight sleep study. METHODS: A pooled analysis using patient-level data from the ISAACC Trial and Sleep and Stent Study was performed. Using the same portable diagnostic device, OSA was defined as an apnoea-hypopnoea index of ≥15 events per hour. RESULTS: A total of 1961 patients were analysed, including Spanish (53.6%, n=1050), Chinese (25.5%, n=500), Indian (12.0%, n=235), Malay (6.1%, n=119), Brazilian (1.7%, n=34) and Burmese (1.2%, n=23) populations. Significant differences in body mass index (BMI) were found among the various ethnic groups, averaging from 25.3kg/m2 for Indians and 25.4kg/m2 for Chinese to 28.6kg/m2 for Spaniards. The prevalence of OSA was highest in the Spanish (63.1%), followed by the Chinese (50.2%), Malay (47.9%), Burmese (43.5%), Brazilian (41.2%), and Indian (36.1%) patients. The estimated odds ratio of BMI on OSA was highest in the Chinese population (1.17; 95% confidence interval: 1.10-1.24), but was not significant in the Spanish, Burmese or Brazilian populations. The area under the curve (AUC) for the Asian patients (ranging from 0.6365 to 0.6692) was higher than that for the Spanish patients (0.5161). CONCLUSION: There was significant ethnic variation in the prevalence of OSA in patients with ACS. The magnitude of the effect of BMI on OSA was greater in the Chinese population than in the Spanish patients.
BACKGROUND:Obstructive sleep apnoea (OSA) is an emerging risk factor for acute coronary syndrome (ACS). We sought to determine the effects of ethnicity on the prevalence of OSA in patients presenting with ACS who participated in an overnight sleep study. METHODS: A pooled analysis using patient-level data from the ISAACC Trial and Sleep and Stent Study was performed. Using the same portable diagnostic device, OSA was defined as an apnoea-hypopnoea index of ≥15 events per hour. RESULTS: A total of 1961 patients were analysed, including Spanish (53.6%, n=1050), Chinese (25.5%, n=500), Indian (12.0%, n=235), Malay (6.1%, n=119), Brazilian (1.7%, n=34) and Burmese (1.2%, n=23) populations. Significant differences in body mass index (BMI) were found among the various ethnic groups, averaging from 25.3kg/m2 for Indians and 25.4kg/m2 for Chinese to 28.6kg/m2 for Spaniards. The prevalence of OSA was highest in the Spanish (63.1%), followed by the Chinese (50.2%), Malay (47.9%), Burmese (43.5%), Brazilian (41.2%), and Indian (36.1%) patients. The estimated odds ratio of BMI on OSA was highest in the Chinese population (1.17; 95% confidence interval: 1.10-1.24), but was not significant in the Spanish, Burmese or Brazilian populations. The area under the curve (AUC) for the Asian patients (ranging from 0.6365 to 0.6692) was higher than that for the Spanish patients (0.5161). CONCLUSION: There was significant ethnic variation in the prevalence of OSA in patients with ACS. The magnitude of the effect of BMI on OSA was greater in the Chinese population than in the Spanish patients.
Authors: Shaoping Nie; Yongxiang Wei; Xiao Wang; Jingyao Fan; Yunhui Du; Changsheng Ma; Xinliang Ma Journal: BMJ Open Diabetes Res Care Date: 2019-12-18