AIMThere is emerging concern that antipsychotics may be associated with an increased risk of myocardial infarction (MI). A previous review identified five observational studies that did not provide an accurate estimate of the association between antipsychotic drug use and MI risk. More recent studies have produced variable results.
METHODSWe performed a systematic review and meta-analysis of observational studies to determine whether antipsychotic use affects the risk for MI. Our analysis included all observational studies that compared MI incidence among patients receiving antipsychotics vs. no treatment.
RESULTSNine observational studies were included in the analysis. The odds for developing MI were 1.88-fold higher (odds ratio (OR) 1.88, 95% confidence interval (CI) 1.39, 2.54) in antipsychotic users compared with individuals who had not taken antipsychotics. Subgroup analyses found an OR of 2.48 (95% CI 1.66, 3.69) among patients with schizophrenia and an OR of 2.64 (95% CI 2.48, 2.81) among short term (<30 days) antipsychotic users.
CONCLUSIONThe findings of this meta-analysis support an increased risk of MI in antipsychotic drug users. The present systematic review expands previous knowledge by demonstrating an increased and more pronounced risk in short term users.
Aim: To study the sleep and mental health of chronic insomnia patients in China during coronavirus disease in 2019 (COVID-19) epidemic. Methods: A total of 764 patients with chronic insomnia were included in this study. From 17 January 2020 to 24 January 2020, insomnia, anxiety and physical symptoms were evaluated online, and they were followed up for 4 and 8 weeks. Main outcomes and indicators were assessed using the Pittsburgh Sleep Quality Index (PSQI) and each factor score, the General Anxiety Disorder-7 (GAD-7) and the Patient Health Questionnaire-15 (PHQ-15), respectively. In addition, insomnia, anxiety and physical symptoms were assessed at baseline and at the end of fourth and eighth weeks. Wilcoxon signed rank test was used to compare the changes in patients’ scale scores at different time points. Results: Among the 764 participants, there were 755 and 738 evaluators who completed the fourth and eighth weeks, respectively, and the questionnaire completion rates were 98.82% and 96.60%, respectively. Among them, there are 459 (60.0%) aged 41–60 years old, 546 (71.5%) women, 218 (28.5%) men and 313 (41%) college degrees. After 8 weeks of follow-up, the differences in sleep status, anxiety symptoms and physical symptoms were statistically significant. Among the factors of PSQI, there were differences in subjective sleep quality, sleep latency, sleep duration, sleep disturbance (disorder), sleep efficiency and daytime function. At 4 weeks of follow-up, there was a statistically significant difference in the use of hypnotic drugs; at 8 weeks of follow-up, there was no statistically significant difference in the use of hypnotic drugs. Conclusion: Under the influence of the COVID-19, the sleep status and anxiety of patients with chronic insomnia are affected by the epidemic.
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