Hyo-Jeong Ahn1, Kyung-Do Han2, Eue-Keun Choi3,4, Jin-Hyung Jung5, Soonil Kwon1, So-Ryoung Lee1, Seil Oh1,6, Gregory Y H Lip6,7,8. 1. Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. 2. Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea. 3. Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. choiek17@snu.ac.kr. 4. Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. choiek17@snu.ac.kr. 5. Department of Medical Statistics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. 6. Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. 7. Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Chest & Heart Hospital, Liverpool, UK. 8. Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Abstract
BACKGROUND: The metabolic syndrome (MetS) and its components are associated with the development of atrial fibrillation (AF). However, the impact of time-burden of MetS on the risk of AF is unknown. We investigated the effect of the cumulative longitudinal burden of MetS on the development of AF. METHODS: We included 2 885 189 individuals without AF who underwent four annual health examinations during 2009-2013 from the database of the Korean national health insurance service. Metabolic burdens were evaluated in the following three ways: (1) cumulative number of MetS diagnosed at each health examination (0-4 times); (2) cumulative number of each MetS component diagnosed at each health examination (0-4 times per MetS component); and (3) cumulative number of total MetS components diagnosed at each health examination (0 to a maximum of 20). The risk of AF according to the metabolic burden was estimated using Cox proportional-hazards models. RESULTS: Of all individuals, 62.4%, 14.8%, 8.7%, 6.5%, and 7.6% met the MetS diagnostic criteria 0, 1, 2, 3, and 4 times, respectively. During a mean follow-up of 5.3 years, the risk of AF showed a positive association with the cumulative number of MetS diagnosed over four health examinations: adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) of 1, 2, 3, and 4 times compared to 0 times were 1.18 (1.13-1.24), 1.31 (1.25-1.39), 1.46 (1.38-1.55), and 1.72 (1.63-1.82), respectively; P for trend < 0.001. All five components of MetS, when diagnosed repeatedly, were independently associated with an increased risk of AF: adjusted HR (95% CI) from 1.22 (1.15-1.29) for impaired fasting glucose to 1.96 (1.87-2.07) for elevated blood pressure. As metabolic components were accumulated from 0 to 20 counts, the risk of AF also gradually increased up to 3.1-fold (adjusted HR 3.11, 95% CI 2.52-3.83 in those with 20 cumulative components of MetS), however, recovery from MetS was linked to a decreased risk of AF. CONCLUSIONS: Given the positive correlations between the cumulative metabolic burdens and the risk of incident AF, maximal effort to detect and correct metabolic derangements even before MetS development might be important to prevent AF and related cardiovascular diseases.
BACKGROUND: The metabolic syndrome (MetS) and its components are associated with the development of atrial fibrillation (AF). However, the impact of time-burden of MetS on the risk of AF is unknown. We investigated the effect of the cumulative longitudinal burden of MetS on the development of AF. METHODS: We included 2 885 189 individuals without AF who underwent four annual health examinations during 2009-2013 from the database of the Korean national health insurance service. Metabolic burdens were evaluated in the following three ways: (1) cumulative number of MetS diagnosed at each health examination (0-4 times); (2) cumulative number of each MetS component diagnosed at each health examination (0-4 times per MetS component); and (3) cumulative number of total MetS components diagnosed at each health examination (0 to a maximum of 20). The risk of AF according to the metabolic burden was estimated using Cox proportional-hazards models. RESULTS: Of all individuals, 62.4%, 14.8%, 8.7%, 6.5%, and 7.6% met the MetS diagnostic criteria 0, 1, 2, 3, and 4 times, respectively. During a mean follow-up of 5.3 years, the risk of AF showed a positive association with the cumulative number of MetS diagnosed over four health examinations: adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) of 1, 2, 3, and 4 times compared to 0 times were 1.18 (1.13-1.24), 1.31 (1.25-1.39), 1.46 (1.38-1.55), and 1.72 (1.63-1.82), respectively; P for trend < 0.001. All five components of MetS, when diagnosed repeatedly, were independently associated with an increased risk of AF: adjusted HR (95% CI) from 1.22 (1.15-1.29) for impaired fasting glucose to 1.96 (1.87-2.07) for elevated blood pressure. As metabolic components were accumulated from 0 to 20 counts, the risk of AF also gradually increased up to 3.1-fold (adjusted HR 3.11, 95% CI 2.52-3.83 in those with 20 cumulative components of MetS), however, recovery from MetS was linked to a decreased risk of AF. CONCLUSIONS: Given the positive correlations between the cumulative metabolic burdens and the risk of incident AF, maximal effort to detect and correct metabolic derangements even before MetS development might be important to prevent AF and related cardiovascular diseases.
Authors: Petter K Nyström; Axel C Carlsson; Karin Leander; Ulf de Faire; Mai-Lis Hellenius; Bruna Gigante Journal: PLoS One Date: 2015-05-15 Impact factor: 3.240
Authors: Juan José Cerezo-Manchado; Olga Meca Birlanga; Luis García de Guadiana Romualdo; Ignacio Gil-Ortega; Antonio Martínez Francés; Teodoro Iturbe-Hernandez Journal: Drugs Context Date: 2022-01-24