OBJECTIVES: This meta-analysis aimed to investigate the effects of telemedicine-based follow-up management on adults with obstructive sleep apnea. METHODS: Publications were searched in the Cochrane Library, PubMed, Scopus, Web of Science and Embase. Studies were selected according to the predefined screening criteria, and their qualities were assessed by the Revised Cochrane risk-of-bias tool for randomized trials. The statistical analyses were performed using Stata12.0 software. It was registered in PROSPERO with the number: CRD42021276414. RESULTS: A total of 33 articles with 8,689 participants were included. Telemedicine-based follow-up management improved average daily continuous positive airway pressure usage by 36 min (weighted mean difference:0.61;95% confidence interval: 0.39 to 0.83), and the percentage of days with continuous positive airway pressure usage more than four hours by 10.67% in obstructive sleep apnea patients. The meta-analysis of good continuous positive airway pressure compliance showed telemedicine-based follow-up management did not lead to good continuous positive airway pressure compliance (odds ratio: 1.13;95% confidence interval: 0.72 to 1.76). The pooled mean difference of sleep quality was 0.15 (standardized mean difference:0.15; 95% confidence interval: -0.03 to 0.32), and daytime sleepiness was -0.26 (weighted mean difference: -0.26;95% confidence interval: -0.79 to 0.28). The pooled mean difference of apnea hypopnea index was -0.53 (95% confidence interval: -3.58 to 2.51). As for the overall quality of life, the pooled mean difference was -0.25 (standardized mean difference: -0.25;95% confidence interval: -0.25 to 0.76). CONCLUSION: Telemedicine-based follow-up management was beneficial for continuous positive airway pressure compliance of obstructive sleep apnea patients within six months. However, it could not improve sleep quality, daytime sleepiness, the severity of obstructive sleep apnea, and quality of life in obstructive sleep apnea patients compared with traditional follow-up. Moreover, it was more cost-effective, but there was no consensus on whether it would increase the workload of medical staff.

Background Mild cognitive impairment (MCI) is a cognitive state falling between normal aging and dementia. The relation between alcohol intake and risk of MCI as well as progression to dementia in people with MCI (PDM) remained unclear. Objective To synthesize available evidence and clarify the relation between alcohol intake and risk of MCI as well as PDM. Method We searched electronic databases consisting of PubMed, EMBASE, Cochrane Library, and China Biology Medicine disc (CBM) from inception to October 1, 2019. Prospective studies reporting at least three levels of alcohol exposure were included. Categorical meta-analysis was used for quantitative synthesis of the relation between light, moderate and heavy alcohol intake with risk of MCI and PDM. Restricted cubic spline and fixed-effects dose-response models were used for dose-response analysis. Result Six cohort studies including 4244 individuals were finally included. We observed an unstable linear relation between alcohol intake (drinks/week) and risk of MCI (P linear = 0.0396). It suggested that a one-drink increment per week of alcohol intake was associated with an increased risk of 3.8% for MCI (RR, 1.038; 95% CI 1.002-1.075). Heavy alcohol intake (> 14 drinks/week) was associated with higher risk of PDM (RR = 1.76; 95% CI 1.10-2.82). And we found a nonlinear relation between alcohol intake and risk of PDM. Drinking more than 16 drinks/week (P nonlinear = 0.0038, HR = 1.42; 95% CI 1.00-2.02), or 27.5 g/day (P nonlinear = 0.0047, HR = 1.46; 95% CI 1.00-2.11) would elevate the risk of PDM. Conclusion There was a nonlinear dose-response relation between alcohol intake and risk of PDM. Excessive alcohol intake would elevate the risk of PDM.