Objective: The association of serious mental illness (affective or non-affective psychotic disorders) with higher mortality in patients infected with acute coronavirus disease 2019 (COVID-19) has been suggested. Although this association remains significant after adjusting for medical comorbidities in previous studies, admission clinical status and treatment modalities should be considered as important confounding factors.
Methods: We aimed to assess whether serious mental illness is associated with in-hospital mortality, in patients with COVID-19 by adjusting for comorbidities, admission clinical status, and treatment modalities. Our nationwide cohort in Japan included consecutive patients admitted to 438 acute care hospitals for laboratory-confirmed acute COVID-19 from January 1, 2020 to November 30, 2021.
Results: Of 67,348 hospitalized patients (mean [standard deviation] age, 54 [18.6] years; 3891 [53.0%] female), 2524 patients (3.75%) had serious mental illness. In-hospital mortality was 282/2524 (11.17%) among patients with serious mental illness, while it was 2118/64,824 (3.27%) in other patients. In the fully adjusted model, serious mental illness was significantly associated with in-hospital mortality (odds ratio, 1.49; 95% CI, 1.27-1.72). E-value analysis confirmed the robustness of the results.
Conclusion: Serious mental illness remains a risk for mortality in acute COVID-19 after adjusting for comorbidities, admission clinical status, and treatment modalities. Vaccination, diagnosis, early assessment and treatment should be prioritized for this vulnerable group.
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http://dx.doi.org/10.1016/j.genhosppsych.2023.01.014 | DOI Listing |
Gen Physiol Biophys
January 2025
Shanghai University of Traditional Chinese Medicine, Shenzhen Hospital, Shenzhen, Guangdong, China.
Cerebral ischemia-reperfusion (I/R) is a serious complication in patients with ischemic stroke. Senkyunolide A (SenA) can alleviate neuronal cell damage induced by cerebral I/R; however, the exact action mechanism remains unclear. An in vitro cellular injury model was established by inducing PC-12 cells with OGD/R.
View Article and Find Full Text PDFMany people with serious mental illness (SMI) experience cognitive disabilities and poor independent living skills which limit their ability to live independently in the community. This study examined the feasibility and initial effectiveness of integrating a new cognitive remediation program, Thinking Skills for Life (TSL), into independent living skills training programs in four secure residential treatment facilities (SRTFs) to facilitate discharge to more independent living situations. Participants were 30 individuals in the SRTF, of whom 11 were forensically committed to the SRTF.
View Article and Find Full Text PDFBMC Psychol
January 2025
Department of Obstetrics, The Juliane Marie Centre, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Background: Reduced well-being and depressive episodes frequently complicate pregnancy and can result in serious adverse outcomes for both mother and infant if left untreated. This study aimed to assess the psychometric validity of the 5-item World Health Organization index (WHO-5), and to evaluate if the WHO-5 index can serve as a proxy for two items of core depressive symptoms from the Major Depression Inventory (MDI), identified as MDI-2. Additionally, the paper aimed to assess well-being and detect risk factors of reduced well-being using the WHO-5 index.
View Article and Find Full Text PDFCommun Med (Lond)
January 2025
Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Background: Alzheimer's disease (AD) is a serious neurodegenerative disorder without a clear understanding of pathophysiology. Recent experimental data have suggested neuronal excitation-inhibition (E-I) imbalance as an essential element of AD pathology, but E-I imbalance has not been systematically mapped out for either local or large-scale neuronal circuits in AD, precluding precise targeting of E-I imbalance in AD treatment.
Method: In this work, we apply a Multiscale Neural Model Inversion (MNMI) framework to the resting-state functional MRI data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) to identify brain regions with disrupted E-I balance in a large network during AD progression.
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