ArticleInternational journal of environmental research and public health2022
Predictors of the Development of Mental Disorders in Hospitalized COVID-19 Patients without Previous Psychiatric History: A Single-Center Retrospective Study in South Korea.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Alzheimer's disease risk after COVID-19: a view from the perspective of the infectious hypothesis of neurodegeneration.Neural regeneration research · 2023Review
- Increase in presentations with new-onset psychiatric disorders in a psychiatric emergency department in Berlin, Germany during the second wave of the COVID-19 pandemic - a retrospective cross-sectional study.Frontiers in psychiatry · 2023Article
- Article
- The Relationship between Mental Disorders and the COVID-19 Pandemic-Course, Risk Factors, and Potential Consequences.International journal of environmental research and public health · 2022Review
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6 authors.
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Abstract
The objective of this study was to investigate the predictors for new-onset mental disorders among patients with mild to moderate COVID-19 illness during hospitalization. A retrospective cohort study was performed in patients with confirmed COVID-19 admitted to a nationally designated hospital between 1 February and 30 June 2020. Demographic, clinical, psychological assessments, and psychiatric outcomes were obtained from electronic medical record review. Multivariate logistic regression analysis was used to identify predictors of new-onset mental disorders. Among 185 patients, 130 had no history of mental disorders or cognitive impairment at the time of admission. Of 130 patients, 29 (22.3%) were newly diagnosed with mental disorders during hospitalization. The following factors were significantly associated with an increased risk of a psychiatric diagnosis: Charlson comorbidity index core ≥1 (adjusted odds ratio (aOR) = 5.115, 95% confidence interval (CI): 1.737-15.058), length of stay (aOR per 1-day increase = 1.067, 95% CI: 1.035-1.100), and self-reported depressive symptoms at the time of admission (aOR = 5.357, 95% CI: 1.745-16.444). The predictive accuracy of combining these risk factors was relatively high (area under curve = 0.851, 95% CI: 0.778-0.923). These potential risk factors could help to predict the new-onset mental disorder among hospitalized patients with COVID-19.
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