Objective Individuals with schizophrenia may be at an increased risk for COVID-19 morbidity due to the disease characteristics. In this study, we aimed to explore the odds of significant COVID-19 morbidity and mortality among schizophrenia patients while controlling for potential sociodemographic and medical confounders. Methods Schizophrenia patients and age-and-sex matched controls (total n = 51 078) were assessed for frequency of COVID-19 positivity, hospitalizations, and mortality. The odds for COVID-19-associated hospitalization and mortality were calculated using logistic regression models, while controlling for age, sex, marital status, sector, socioeconomic status, diabetes, ischemic heart disease, hypertension, hyperlipidemia, obesity, smoking, and chronic obstructive pulmonary disease. Results Individuals with schizophrenia were less likely to test positive for COVID-19; however, they were twice as likely to be hospitalized for COVID-19 (OR 2.15 95% CI 1.63–2.82, P < .0001), even after controlling for sociodemographic and clinical risk factors (OR 1.88 95% CI 1.39–2.55, P < .0001). Furthermore, they were 3 times more likely to experience COVID-19 mortality (OR 3.27 95% CI 1.39–7.68, P < .0001), compared to controls. Conclusions We found evidence of associations between schizophrenia and increased COVID-19 morbidity and mortality compared to controls regardless of sociodemographic and medical factors. As these patients present with a combination of potential risk factors for mortality, efforts should be made to minimize the effects of the pandemic on this vulnerable population.
Background: Nonattendance for obstetrics and gynecology (OB/GYN) appointments disrupts medical care and leads to misuse of valuable resources. We investigated factors associated with nonattendance in an outpatient OB/GYN clinic. Methods: Nonattendance was examined for a period of 1 year in first-time visitors of an ambulatory OB/GYN clinic. The effects of age, population sector, the treating physician, waiting time, and timing of the appointment on the proportions of nonattendance were assessed. χ2 tests and logistic regression were used for simple and multiple regression models. Results: A total of 8,883 visits were included (median age 36 years). The proportion of nonattendance was 30.1%: 19.9% among rural Jewish, 30.5% in urban Jewish, and 36% in Bedouins (p < 0.001). Nonattendance increased from 26.6% among those waiting up to 1 week to 32.3% among those who waited more than 15 days (p < 0.001) and decreased with age (p < 0.001). A multiple logistic regression model demonstrated that age, population sector and waiting time for an appointment were significantly associated with nonattendance. Conclusion: Nonattendance in OB/GYN patients is independently associated with age, population sector and waiting time for an appointment. It is suggested that various solutions should be carefully introduced assessed regarding routine patient scheduling in OB/GYN clinics.
Background: Until COVID-19 drugs specifically developed to treat COVID-19 become more widely accessible, it is crucial to identify whether existing medications have a protective effect against severe disease. Towards this objective, we conducted a large population study in Clalit Health Services (CHS), the largest healthcare provider in Israel, insuring over 4.7 million members. Methods: Two case-control matched cohorts were assembled to assess which medications, acquired in the last month, decreased the risk of COVID‑19 hospitalization. Case patients were adults aged 18-95 hospitalized for COVID-19. In the first cohort, five control patients, from the general population, were matched to each case (n=6202); in the second cohort, two non-hospitalized SARS-CoV-2 positive control patients were matched to each case (n=6919). The outcome measures for a medication were: odds ratio (OR) for hospitalization, 95% confidence interval (CI), and the p‑value, using Fisher's exact test. False discovery rate was used to adjust for multiple testing. Results: Medications associated with most significantly reduced odds for COVID-19 hospitalization include: ubiquinone (OR=0.185, 95% CI (0.058 to 0.458), p<0.001), ezetimibe (OR=0.488, 95% CI ((0.377 to 0.622)), p<0.001), rosuvastatin (OR=0.673, 95% CI (0.596 to 0.758), p<0.001), flecainide (OR=0.301, 95% CI (0.118 to 0.641), p<0.001), and vitamin D (OR=0.869, 95% CI (0.792 to 0.954), p<0.003). Remarkably, acquisition of artificial tears, eye care wipes, and several ophthalmological products were also associated with decreased risk for hospitalization. Conclusions: Ubiquinone, ezetimibe and rosuvastatin, all related to the cholesterol synthesis pathway were associated with reduced hospitalization risk. These findings point to a promising protective effect which should be further investigated in controlled, prospective studies. Funding: This research was supported in part by the Intramural Research Program of the National Institutes of Health, NCI.
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