Hearing disorders, genetic predisposition, and risk of new-onset atrial fibrillation: A prospective cohort study in the UK biobank.

BACKGROUND: Atrial fibrillation (AF) is the most common sustained arrhythmia and is associated with significant morbidity and mortality. Hearing impairment has been linked to several cardiovascular diseases. However, the association between hearing disorders, genetic predisposition, and new-onset AF remains largely unknown. METHODS: A total of 476,773 participants (mean age 56.5 years) free of AF at baseline (from 2006 to 2010) were included from the UK Biobank study. The presence of hearing disorders including hearing difficulty and tinnitus was self-reported through the touchscreen questionnaire. AF was defined using ICD-10 code: I48 and was followed till February 1st. 2022. The Cox model was used to calculate hazard ratios (HRs) and 95% confidence intervals (95% CI). RESULTS: During a median follow-up of 13.0 years, the AF incidence rate was 2.9 per 1000 person-years. After adjustments for potential confounders, the presence of hearing difficulty (HR, 1.35; 95% CI: 1.32-1.39) and the use of hearing aid (1.45; 1.37-1.53) were significantly associated with risk of new-onset AF. Compared to individuals without tinnitus, the AF risk increased by 17% among those who experienced tinnitus occasionally (1.17; 1.09-1.25), 23% among those who experienced tinnitus frequently (1.23; 1.10-1.39), and 32% among those who experienced tinnitus consistently (1.32; 1.22-1.42). No significant difference was observed across different groups of genetic risk score for AF onset. CONCLUSIONS: Our study provides evidence regarding significant associations of hearing difficulty, use of hearing aid, and tinnitus with risk of incident AF. Findings highlight the potential that screening hearing disorders can benefit AF prevention.

The ecology of medical care in Beijing.

BACKGROUND: We presented the pattern of health care consumption, and the utilization of available resources by describing the ecology of medical care in Beijing on a monthly basis and by describing the socio-demographic characteristics associated with receipt care in different settings. METHODS: A cohort of 6,592 adults, 15 years of age and older were sampled to estimate the number of urban-resident adults per 1,000 who visited a medical facility at least once in a month, by the method of three-stage stratified and cluster random sampling. Separate logistic regression analyses assessed the association between those receiving care in different types of setting and their socio-demographic characteristics. RESULTS: On average per 1,000 adults, 295 had at least one symptom, 217 considered seeking medical care, 173 consulted a physician, 129 visited western medical practitioners, 127 visited a hospital-based outpatient clinic, 78 visited traditional Chinese medical practitioners, 43 visited a primary care physician, 35 received care in an emergency department, 15 were hospitalized. Health care seeking behaviors varied with socio-demographic characteristics, such as gender, age, ethnicity, resident census register, marital status, education, income, and health insurance status. In term of primary care, the gate-keeping and referral roles of Community Health Centers have not yet been fully established in Beijing. CONCLUSIONS: This study represents a first attempt to map the medical care ecology of Beijing urban population and provides timely baseline information for health care reform in China.