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OBJECTIVE To identify lifestyle-related, sociodemographic, and mental health characteristics of people with insomnia symptoms and people without insomnia during the pandemic. METHODS A case-control study was conducted with data collected by snowball sampling using an online questionnaire. From November 2020 to April 2021, 6,360 people with a mean age of 43.5 years (SD = 14.3) participated in the survey. For this study, we considered 158 cases of insomnia disorder and 476 controls (three controls per case) randomly selected from the participants without sleep problems. RESULTS The results of the comparative analysis between cases and controls showed that sleeping less than six hours daily (OR = 3.89;95%CI 2.50–6.05), feeling sadness frequently (OR = 2.95;95%CI 1.69–5.17), residing in metropolitan areas (OR = 1.71;95%CI 1.04–2.84), being 40 years or older (OR = 1.93;95%CI 1.22–3.06), and the interaction between occupation and poorer education (OR = 2.12;95%CI 1.22–3.69) were predictors for symptoms of insomnia disorder during the pandemic. CONCLUSIONS In addition to confirming the hypothesis that mental health problems are associated with insomnia symptoms, the results point to insomnia as an important outcome for studies on the effects of unemployment, vulnerability and low education of the population, especially in large cities, highlighting that the effects of the crisis on health and the economy are extremely unequally distributed.
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Few data from Latin American centers on clinical outcomes in coronavirus disease 2019 (COVID-19) patients with acute respiratory distress syndrome who required extracorporeal membrane oxygenation (ECMO) are published. Moreover, clinical and functional status after hospital discharge remains poorly explored in these patients. We evaluated in-hospital outcomes of severe COVID-19 patients who received ECMO support in two Brazilian hospitals. In one-third of the survivors, post-acute COVID-19 syndrome (PACS), quality of life, anxiety, depression, and return to work were evaluated. Eighty-five patients were included and in-hospital mortality was 47%. Age >65 years (HR: 4.8;95% confidence interval [CI]: 1.4–16.4), diabetes (HR: 6.0;95% CI: 1.8–19.6), ECMO support duration (HR: 1.08;95% CI: 1.05–1.12) and dialysis initiated after ECMO (HR: 3.4;95% CI: 1.1–10.8) were independently associated with higher in-hospital mortality and mechanical ventilation (MV) duration before ECMO was not (HR: 1.18;95% CI: 0.71–2.09). PACS-related symptoms were reported by two-thirds and half of patients at 30- and 90-days post-discharge, respectively. The median EQ-5D score was 0.85 (0.70–1.00) and 0.77 (0.66–1.00) at 30 and 90 days. Of the 15 responders, all previously working patients, except one, have returned to work at 90 days. In conclusion, in-hospital mortality in a large Latin American cohort was comparable to the Global extracorporeal life support organization registry.
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BACKGROUND: Nonadherence to antihypertensive treatment is one of the main causes of the lack of blood pressure (BP) control. The coronavirus disease (COVID-19) pandemic imposes substantial social restriction impairing the medical care routine, which may influence adherence to the antihypertensive treatment. To assess the rate of nonadherence to antihypertensive drug treatment during the COVID-19 pandemic. METHODS: This is a cross-sectional study evaluating hypertensive adult patients from a tertiary outpatient clinic. From March to August 2020, patients were interviewed by telephone during the social distancing period of the COVID-19 pandemic. We evaluated biosocial data, habits, attitudes, and treatment adherence using the 4-item Morisky Green Levine Scale during the social distancing. Uncontrolled BP was defined by BP ≥ 140/90 mmHg. Clinical and prescription variables for drug treatment were obtained from the electronic medical record. We performed a multivariate analysis to determine the predictors of nonadherence to BP treatment. RESULTS: We studied 281 patients (age 66 ± 14 years, 60.5% white, 62.3% women, mean education of 9.0 ± 4 years of study). We found that 41.3% of the individuals reported poor adherence to antihypertensive drug treatment and 48.4% had uncontrolled BP. Subsample data identified that adherence was worse during the pandemic than in the previous period. The variables that were independently associated with the nonadherence during the pandemic period were black skin color (odds ratio [OR], 2.62; 95% confidence interval [CI], 1.46-4.68), and intermittent lack of access to antihypertensive medication during the pandemic (OR, 2.56; 95% CI, 1.11-5.89). CONCLUSIONS: Beyond traditional variables associated with poor adherence, the lack of availability of antihypertensive medications during the study underscore the potential role of pandemic on hypertension burden.
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OBJECTIVES: Health vulnerability is associated with a higher risk of mortality and functional decline in older people in the community. However, few studies have evaluated the role of the Vulnerable Elders Survey (VES-13) in predicting clinical outcomes of hospitalized patients. In the present study, we tested the ability of the VES-13 to predict mortality and the need for invasive mechanical ventilation in older people hospitalized with coronavirus disease 2019 (COVID-19). METHODS: This prospective cohort included 91 participants aged ≥60 years who were confirmed to have COVID-19. VES-13 was applied, and the demographic, clinical, and laboratory variables were collected within 72h of hospitalization. A Poisson generalized linear regression model with robust variance was used to estimate the relative risk of death and invasive mechanical ventilation. RESULTS: Of the total number of patients, 19 (21%) died and 15 (16%) required invasive mechanical ventilation. Regarding health vulnerability, 54 (59.4%) participants were classified as non-vulnerable, 30 (33%) as vulnerable, and 7 (7.6%) as extremely vulnerable. Patients classified as extremely vulnerable and male sex were strongly and independently associated with a higher relative risk of in-hospital mortality (p<0.05) and need for invasive mechanical ventilation (p<0.05). CONCLUSION: Elderly patients classified as extremely vulnerable had more unfavorable outcomes after hospitalization for COVID-19. These data highlight the importance of identifying health vulnerabilities in this population.