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Main air pollutants and ventricular arrhythmias in patients with implantable cardioverter-defibrillators: A systematic review and meta-analysis

OBJECTIVE: Previous studies of ambient air pollutants and ventricular arrhythmias in patients with implantable cardioverter-defibrillator (ICD) have yielded mixed results, and the association between air pollution and ventricular arrhythmias in these patients remains unclear. This study aimed to ass...

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Detalles Bibliográficos
Autores principales: Yang, Hong-Jie, Liu, Xin, Qu, Chuan, Shi, Shao-Bo, Liang, Jin-Jun, Yang, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Chinese Medical Association 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5747495/
https://www.ncbi.nlm.nih.gov/pubmed/29354807
http://dx.doi.org/10.1016/j.cdtm.2017.09.001
Descripción
Sumario:OBJECTIVE: Previous studies of ambient air pollutants and ventricular arrhythmias in patients with implantable cardioverter-defibrillator (ICD) have yielded mixed results, and the association between air pollution and ventricular arrhythmias in these patients remains unclear. This study aimed to assess and quantify the association between exposure to major air pollutants [CO, inhalable particles (PM(10)), SO(2), fine particulate matter (PM(2.5)), O(3), and NO(2)] and the presence of ventricular arrhythmia in patients with ICD. METHODS: The Medline, PubMed, Web of Science, Global Health Library, Virtual Health Library, Population Information Online (POPLINE), and New York Academy of Medicine Grey Literature Report databases were searched to identify studies analyzing the association between ventricular arrhythmias in patients with ICD and the abovementioned main air pollutants. Pooled estimates were generated using a random-effects model or fixed-effects model, according to the value of heterogeneity. Heterogeneity within studies was assessed using Cochran's Q and I(2) statistics. Funnel plots, Egger's regression test, and Begg's rank correlation method were used to evaluate publication bias. Sensitivity analyses were also conducted to evaluate the potential sources of heterogeneity. RESULTS: After a detailed screening of 167 studies, seven separate studies were identified. Ventricular arrhythmias in patients with ICD were found to be positively, but not significantly, associated with CO, PM(10), SO(2), PM(2.5), and NO(2,) with a pooled estimate [odds ratio (OR) associated with each 10 μg/m(3) increase in pollutant concentration, except for CO, which was associated with each 1 mg/m(3) increase in concentration] of 1.03 [95% confidence interval (CI): 0.92–1.17, P = 0.59] for CO, 1.01 (95%CI: 0.97–1.05, P = 0.55) for PM(10), 1.09 (95%CI: 0.95–1.24, P = 0.22) for SO(2,) 1.07 (95%CI: 0.95–1.21, P = 0.25) for PM(2.5), and 1.06 (95%CI: 0.98–1.14, P = 0.16) for NO(2). No increased risk of ventricular arrhythmias in patients with ICD was found to be associated with O(3) (OR = 1.00; 95%CI: 0.98–1.01, P = 0.56). CONCLUSIONS: The results of this study provide little evidence that ambient air pollutants affect the risk of ICD discharges for treating ventricular arrhythmias.