Ontology highlight
ABSTRACT:
Methods: This retrospective cohort study used the Health Insurance Review and Assessment data of 5,061 adult patients with laboratory-confirmed coronavirus disease 2019 in South Korea from January 20 to April 8, 2020. To evaluate the effect of hormone therapy on clinical outcomes among women, subgroup analyses using age-matched case-control data were performed.
Results: Coronavirus disease 2019 was most prevalent in women in the 20-39 years age group (1,250 [44.14%]). Men were more likely to receive oxygen therapy (144 [6.46%] vs 131 [4.63%], P?=?0.004), be admitted to the intensive care unit (60 [2.69%] vs 53 [1.87%], P?=?0.049), and have a longer length of stay after admission to the intensive care unit (19.70 ± 11.80 vs 14.75?±?9.23, P?=?0.016). However, there was no significant difference in the mortality rate (men vs women: 42 [1.88%] vs 42 [1.48%], P?=?0.267). In the multivariable Cox analysis, older age and underlying comorbidities, but not sex, were independent risk factors for mortality. Hormone therapy was not significantly associated with clinical outcomes.
Conclusions: This study, using nationwide data, suggests that female sex hormones are not associated with the morbidity and clinical outcomes of coronavirus disease 2019 in South Korea.
SUBMITTER: Lee JH
PROVIDER: S-EPMC7709921 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature
Lee Jae Hoon JH Kim Yong Chan YC Cho Si Hyun SH Lee Jinae J You Seng Chan SC Song Young Goo YG Won Young Bin YB Choi Young Sik YS Park Yun Soo YS
Menopause (New York, N.Y.) 20201201 12
<h4>Objective</h4>To evaluate the effect of female sex hormones on the clinical outcomes of coronavirus disease 2019 patients using national claims data.<h4>Methods</h4>This retrospective cohort study used the Health Insurance Review and Assessment data of 5,061 adult patients with laboratory-confirmed coronavirus disease 2019 in South Korea from January 20 to April 8, 2020. To evaluate the effect of hormone therapy on clinical outcomes among women, subgroup analyses using age-matched case-contr ...[more]