COVID‑19‑related psychiatric manifestations requiring hospitalization: Analysis in older vs. younger patients

Global burden of sleep disturbances among older adults and the disparities by geographical regions and pandemic periods

Sleep disturbances are highly prevalent during the COVID-19 pandemic, especially among older adults. We aimed to evaluate sleep heath during COVID-19 pandemic and assess the differences among geographical regions and pandemic periods. We searched three databases (PubMed, Embase, Web of Science) to find articles up to March 12, 2023. We included observational studies that reported the prevalence of sleep disturbances among adults aged 60 years or older in any setting. Two researchers independently reviewed the literature and retrieved the data. We used Der Simonian-Laird random effects meta-analyses to pool the data, followed by subgroup analysis, sensitivity analysis, and meta-regression. A total of 64 studies with 181,224 older adults during the pandemic were included. The prevalence of poor sleep quality, short sleep duration, long sleep duration, and insomnia symptoms were 47.12% (95% CI: 25.97%, 68.27%), 40.81% (95% CI: 18.49%, 63.12%), 31.61% (95% CI: 24.83%, 38.38%), and 21.15% (95% CI: 15.30%, 27.00%), respectively. The prevalence of sleep problems reported by self-constructed items was 26.97% (95% CI: 20.73%, 33.22%). When compared to America (64.13%), Europe (20.23%) and the Western Pacific (21.31%) showed a lower prevalence of sleep problems (all P < 0.0001). The prevalence of worsened sleep problems was 27.88% (95% CI: 11.94%, 43.82%). Compared to 2020 (15.14%), it increased to 47.42% in 2021 (P < 0.05). Eight studies on sleep disturbances among 672 older COVID-19 patients were included. The prevalence of sleep problems and insomnia symptoms among older COVID-19 patients were 41.58% (95% CI: 21.97%, 61.20%) and 41.56% (95% CI: 28.11%, 58.02%), respectively. A significant burden related to poor sleep has been observed among older adults worldwide over the past three years, with variations across different regions and time periods. It is important to make more efforts in prevention and intervention to identify the risk factors, treatment, and rehabilitation of sleep disturbances for healthy aging.

Teledermatology Practice in a Department that Was Relocated Multiple Times during the COVID-19 Pandemic

The COVID pandemic inherently impacts clinical activity in Dermatological practices throughout all sectors. Under these circumstances, our service has implemented teledermatology in order to act both as a filter for reducing in-hospital admittance or face-to-face interactions, and as a straightforward solution to solve the issues faced by patients and family doctors within our area. Live consultations rely on the resident physician's capacity to take a detailed patient history in the limited time allotted, while the subsequent case-discussion with the leading-physician has good didactic value. The establishment of a quality international collaboration through teledermatology would further facilitate a more accurate and faster diagnosis, even for patients traveling for business or tourism.

Development and validation of prediction models for poor sleep quality among older adults in the post-COVID-19 pandemic era

BACKGROUND

Corona Virus Disease 2019 (COVID-19) has a significant impact on sleep quality. However, the effects on sleep quality in the post-COVID-19 pandemic era remain unclear, and there is a lack of a screening tool for Chinese older adults. This study aimed to understand the prevalence of poor sleep quality and determine sensitive variables to develop an effective prediction model for screening sleep problems during infectious diseases outbreaks.

MATERIALS AND METHODS

The Peking University Health Cohort included 10,156 participants enrolled from April to May 2023. The Pittsburgh Sleep Quality Index (PSQI) scale was used to assess sleep quality. The data were randomly divided into a training-testing cohort (n = 7109, 70%) and an independent validation cohort (n = 3027, 30%). Five prediction models with 10-fold cross validation including the Least Absolute Shrinkage and Selection Operator (LASSO), Stochastic Volatility Model (SVM), Random Forest (RF), Artificial Neural Network (ANN), and XGBoost model based on the area under curve (AUC) were used to develop and validate predictors.

RESULTS

The prevalence of poor sleep quality (PSQI >7) was 30.69% (3117/10,156). Among the generated models, the LASSO model outperformed SVM (AUC 0.579), RF (AUC 0.626), ANN (AUC 0.615) and XGBoost (AUC 0.606), with an AUC of 0.7. Finally, a total of 12 variables related to sleep quality were used as parameters in the prediction models. These variables included age, gender, ethnicity, educational level, residence, marital status, history of chronic diseases, SARS-CoV-2 infection, COVID-19 vaccination, social support, depressive symptoms, and cognitive impairment among older adults during the post-COVID-19 pandemic. The nomogram illustrated that depressive symptoms contributed the most to the prediction of poor sleep quality, followed by age and residence.

CONCLUSIONS

This nomogram, based on twelve-variable, could potentially serve as a practical and reliable tool for early identification of poor sleep quality among older adults during the post-pandemic period.

Exploration of Molecular Targets and Mechanisms of Curcumin in the Treatment of COVID-19 with Depression by an Integrative Pharmacology Strategy

BACKGROUND

Coronavirus disease 2019 (COVID-19) not only causes a range of respiratory symptoms but also has a great impact on individual mental health. With the global pandemic of SARS-CoV-2, the incidence of COVID-19 comorbid with depression has increased significantly. Curcumin, a natural polyphenol compound, has been shown to have antidepressant and anti-coronavirus activities.

METHODS

This study aimed to explore the molecular targets and underlying biological mechanisms of curcumin in the treatment of COVID-19 with depression through an integrative pharmacology strategy, including target prediction, network analysis, PPI analysis, GO and KEGG enrichment analyses, and molecular docking.

RESULTS

After a comprehensive search and thorough analysis, 8 core targets (ALB, AKT1, CASP3, STAT3, EGFR, PTGS2, FOS, and SERPINE1) were identified. GO and KEGG enrichment analysis results revealed that the pathways related to viral infection, immune regulation, neuronal reorganization, apoptosis, and secretion of inflammatory cytokines were involved in the pathological process. Furthermore, molecular docking showed that curcumin could spontaneously bind to the SARS-CoV-2-related receptor proteins and the core targets with a strong binding force.

CONCLUSION

The potential pharmacological mechanisms of curcumin in COVID-19 comorbid depression were evaluated. Curcumin can be used as a therapeutic agent for COVID-19 comorbid depression. One of the potential mechanisms may be to reduce the inflammatory response and suppress the cytokine storm by regulating the JAK-STAT signaling pathway and MAPK signaling pathway. These findings may help to overcome the impact of the COVID-19 pandemic on psychological health.

Delirium in a Relatively Young Person due to COVID-19 Infection

The coronavirus disease (COVID-19) pandemic, caused by the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2 virus), has significantly impacted global health. It can present a range of complications, from asymptomatic to severe respiratory distress syndrome. It has also been linked to complications in multiple organ systems, including neurological symptoms such as headaches and encephalopathy. Delirium, characterized by acute confusion, is common in older adults and associated with prolonged hospital stays and elevated mortality rates. We present a case study of a young mother with a prior medical history of mild to moderate depression who experienced an episode of delirium consequent to a COVID-19 infection. The initial manifestation of her illness was mild diarrhea, but as her condition worsened, she began exhibiting symptoms of delirium. These symptoms include confusion, agitation, sleep disturbance, and disordered behavior. The delirious episode was brief and effectively managed with small doses of psychotropic medications to control aggressive behavior. Upon resolution, no additional treatment was deemed necessary. This case underscores the wide-ranging effects of COVID-19 on physical and psychological well-being and highlights the importance of considering symptoms beyond those associated with respiratory distress.

Hereditary Hemorrhagic Telangiectasia Associating Neuropsychiatric Manifestations with a Significant Impact on Disease Management-Case Report and Literature Review

(1) Background: Genetic hereditary hemorrhagic telangiectasia (HHT) is clinically diagnosed. The clinical manifestations and lack of curative therapeutic interventions may lead to mental illnesses, mainly from the depression–anxiety spectrum. (2) Methods: We report the case of a 69-year-old patient diagnosed with HHT and associated psychiatric disorders; a comprehensive literature review was performed based on relevant keywords. (3) Results: Curaçao diagnostic criteria based the HHT diagnosis in our patient case at 63 years old around the surgical interventions for a basal cell carcinoma, after multiple episodes of epistaxis beginning in childhood, but with a long symptom-free period between 20 and 45 years of age. The anxiety–depressive disorder associated with nosocomephobia resulted in a delayed diagnosis and low adherence to medical monitoring. A comprehensive literature review revealed the scarcity of publications analyzing the impact of psychiatric disorders linked to this rare condition, frequently associating behavioral disengagement as a coping strategy, psychological distress, anxiety, depression, and hopelessness. (4) Conclusions: As patients with HHT face traumatic experiences from disease-related causes as well as recurring emergency hospital visits, active monitoring for mental illnesses and psychological support should be considered as part of the initial medical approach and throughout the continuum of care.