Non-oncological gynecological diagnoses in a women's health care service during the pandemic caused by the Severe Acute Respiratory Syndrome Coronavirus 2.

OBJECTIVE: Analyze clinical factors and non-oncological gynecological diagnoses before and during the initial months of the COVID-19 pandemic. METHOD: Crosssectional study at an Outpatient Gynecology Clinic in Brazil involving medical consultations performed during the pre-pandemic and pandemic periods. The number of visits, prevalence of non-oncological gynecological diagnoses, and clinical-demographic data were analyzed. Parametric continuous variables were evaluated by Student's t-test and ANOVA tests, non-parametric variables were evaluated by the Mann-Whitney and Wilcoxon tests, and categorical or binary variables were evaluated by chi-square and Fisher's exact tests. Univariate logistic regression tests were performed, and variables with p ≤ 0.20 were subjected to multivariate logistic regression. Statistical significance was set at p < 0.05. RESULTS: There were 1,236 records during the pre-pandemic period and 530 during the pandemic, reflecting a significant reduction (57.88%; p = 0.001) in medical consultations. The outpatient prevalence of women older than 50 y (OR 0.85; 95%CI 0.68-1.05) reduced, and the outpatient prevalence of postmenopausal women with hot flashes (OR 1.34; 95%CI 1.09-1.65; p = 0.005) and alcohol consumption habits (OR 2.76; 95%CI 1.15-6.59; p = 0.023) increased. There was a 6% proportional increase in noninflammatory disorders of the female genital tract (p = 0.030) and a 72.4% decrease in general physical examinations, contraception, and procreation (p = 0.001). Multivariate analysis showed that there was an increased prevalence of abnormal uterine bleeding (OR, 1.7; 95% CI 1.34-2.16; p = 0.001) and endometriosis (OR 1.65; 95% CI 1.13-2.42; p = 0.01). CONCLUSION: Medical consultations for benign gynecological diseases during the pandemic prevented non-inflammatory disorders of the female genital tract, with an emphasis on abnormal uterine bleeding and endometriosis. There was an increased prevalence of women under 50 years of age, women with symptoms of hot flashes, and alcohol consumption habits and a reduction in the prevalence of general physical examinations, contraception, and procreation.

Acute Muscle Mass Loss Predicts Long-Term Fatigue, Myalgia, and Health Care Costs in COVID-19 Survivors.

OBJECTIVE: We examined the impact of loss of skeletal muscle mass in post-acute sequelae of SARS-CoV-2 infection, hospital readmission rate, self-perception of health, and health care costs in a cohort of COVID-19 survivors. DESIGN: Prospective observational study. SETTING AND PARTICIPANTS: Tertiary Clinical Hospital. Eighty COVID-19 survivors age 59 ± 14 years were prospectively assessed. METHODS: Handgrip strength and vastus lateralis muscle cross-sectional area were evaluated at hospital admission, discharge, and 6 months after discharge. Post-acute sequelae of SARS-CoV-2 were evaluated 6 months after discharge (main outcome). Also, health care costs, hospital readmission rate, and self-perception of health were evaluated 2 and 6 months after hospital discharge. To examine whether the magnitude of muscle mass loss impacts the outcomes, we ranked patients according to relative vastus lateralis muscle cross-sectional area reduction during hospital stay into either "high muscle loss" (-18 ± 11%) or "low muscle loss" (-4 ± 2%) group, based on median values. RESULTS: High muscle loss group showed greater prevalence of fatigue (76% vs 46%, P = .0337) and myalgia (66% vs 36%, P = .0388), and lower muscle mass (-8% vs 3%, P < .0001) than low muscle loss group 6 months after discharge. No between-group difference was observed for hospital readmission and self-perceived health (P > .05). High muscle loss group demonstrated greater total COVID-19-related health care costs 2 ($77,283.87 vs. $3057.14, P = .0223, respectively) and 6 months ($90,001.35 vs $12, 913.27, P = .0210, respectively) after discharge vs low muscle loss group. Muscle mass loss was shown to be a predictor of total COVID-19-related health care costs at 2 (adjusted ß = $10, 070.81, P < .0001) and 6 months after discharge (adjusted ß = $9885.63, P < .0001). CONCLUSIONS AND IMPLICATIONS: COVID-19 survivors experiencing high muscle mass loss during hospital stay fail to fully recover muscle health. In addition, greater muscle loss was associated with a higher frequency of post-acute sequelae of SARS-CoV-2 and greater total COVID-19-related health care costs 2 and 6 months after discharge. Altogether, these data suggest that the loss of muscle mass resulting from COVID-19 hospitalization may incur in an economical burden to health care systems.