Approximate reciprocal relationship between two cause-specific hazard ratios in COVID-19 data with mutually exclusive events.

COVID-19 survival data presents a special situation where not only the time-to-event period is short, but also the two events or outcome types, death and release from hospital, are mutually exclusive, leading to two cause-specific hazard ratios (csHR d and csHR r ). The eventual mortality/release outcome is also analyzed by logistic regression to obtain odds-ratio (OR). We have the following three empirical observations: (1) The magnitude of OR is an upper limit of the csHR d : |log(OR)| ≥ |log(csHR d )|. This relationship between OR and HR might be understood from the definition of the two quantities; (2) csHR d and csHR r point in opposite directions: log(csHR d ) ⋅ log(csHR r ) < 0; This relation is a direct consequence of the nature of the two events; and (3) there is a tendency for a reciprocal relation between csHR d and csHR r : csHR d ∼ 1/csHR r . Though an approximate reciprocal trend between the two hazard ratios is in indication that the same factor causing faster death also lead to slow recovery by a similar mechanism, and vice versa, a quantitative relation between csHR d and csHR r in this context is not obvious. These results may help future analyses of data from COVID-19 or other similar diseases, in particular if the deceased patients are lacking, whereas surviving patients are abundant.

Blood-Type-A is a COVID-19 infection and hospitalization risk in a Turkish cohort.

We have shown in an ethnically homogenous Turkey cohort with more than six thousand cases and 25 thousand controls that ABO blood types that contain anti-A antibody (O and B) are protective against COVID-19 infection and hospitalization, whereas those without the anti-A antibody (A and AB) are risks. The A + AB frequency increases from 54.7 % in uninfected controls to 57.6 % in COVID-19 outpatients, and to 62.5 % in COVID-19 inpatients. The odds-ratio (OR) for lacking of anti-A antibody risk for infection is 1.16 (95 % confidence interval (CI) 1.1-1.22, and Fisher test p-value 1.8 × 10-7). The OR for hospitalization is 1.23 (95 %CI 1.06-1.42, Fisher test p-value 0.005). A linear regression treating controls, outpatients, inpatients as three numerical levels over anti-A antibody leads to a p-value of 5.9 × 10-9. All these associations remain to be statistically significant after conditioning over age, even though age itself is a risk for both infection and hospitalization. We also attempted to correct the potential effect from vaccination, even though vaccination information is not available, by using the date of the data collection as a surrogate to vaccination status. Although no significant association between infection/hospitalization with Rhesus blood system was found, forest plots are used to illustrate possible trends.

The impact of social quarantine on the living status and mental health of the elderly in the Wuhan community: one year after Wuhan COVID-19 blockade.

PURPOSE: In order to control the corona virus disease-2019 (COVID-19) pandemic, many countries have adopted social quarantine policies, with older adults in Wuhan suffering the longest and most severe conditions. But few studies have explored the impact of this on the mental health of older adults in Wuhan. The purpose of this paper is to examine changes in the residential status and mental health of this group when 1 year after the social isolation policies in Wuhan. METHOD: A cross-sectional study with convenience sampling was conducted to assess the questionnaire of older adults in a total of 21 streets in 5 central and 2 distant urban districts of Wuhan. Using a self-compiled living status questionnaire, the Patient Health Questionnaire-9, the General Anxiety Disorder-7, the PTSD Checklist-Civilian Version, the UCLA Loneliness Scale and the Social Support Rating Scale, our survey evaluated the living status, depression, anxiety, post-traumatic stress symptoms, loneliness and social support of all the participants. RESULTS: A total of 400 valid samples were obtained. One year after experiencing social isolation, older adults had not changed much from their pre-epidemic living status and mostly lived with their partners. They had satisfactory social support (33.86 ± 6.92) and low levels of depression (3.12 ± 4.30), anxiety (1.52 ± 3.19) and post-traumatic stress symptoms (21.41 ± 7.39), but there were moderate levels of loneliness (38.27 ± 9.31). Among them, depression, anxiety and post-traumatic stress symptoms were significantly higher (ps < 0.05) in older adults who were COVID-19 close contacts while experiencing social isolation. CONCLUSION: One year after experiencing Wuhan's harsh social isolation, older adults in the Wuhan community did not experience significant symptoms of depression, anxiety or post-traumatic stress, but loneliness has increased and the mental health of older adults who were COVID-19 close contacts needs attention.

Online psychosocial interventions for improving mental health in people during the COVID-19 pandemic: A systematic review and meta-analysis.

BACKGROUND: During the COVID-19 pandemic, interventions for public mental health were mostly delivered through online modalities. Although many studies have explored the effectiveness of online psychosocial interventions through randomized controlled trials, there is a lack of quantitative synthesis of the effectiveness of online psychosocial interventions and an examination of their overall application. OBJECTIVE: To understand the commonly used psychosocial interventions during the COVID-19 pandemic and the effectiveness of the interventions. METHODS: Risk bias was assessed in the included studies according to the Cochrane Collaboration criteria, and data from post-test and follow-up were combined for standardized mean differences using Stata 16.0 software, and sources of heterogeneity were explored by subgroup analysis, and risk bias was assessed in the included studies using Review Manager 5.4 software. The study was written in strict accordance with PRISMA specifications, and registration was completed on the PROSPERO platform (CRD42022302917). RESULTS: The online psychosocial intervention had an ameliorating effect on anxiety (SMD = -0.78), depression (SMD = -0.80), and insomnia (SMD = -0.19) in the public during the COVID-19 pandemic, was ineffective for the intervention on stress, and the effectiveness of the intervention on depression continued at follow-up. Subgroup analyses showed that the type of intervention, intervention form, Duration of intervention, and setting of the control group influenced the trial results to some extent, with cognitive behavioral therapy being the most effective intervention for anxiety and depressive symptoms, self-help interventions being more effective than interventions with therapist interventions, and 1-4 week interventions being more effective than 5-8 week interventions. Due to the limited number of studies included in the analysis and variability in quality, more randomized controlled trials are needed to test the findings. CONCLUSION: Online psychosocial interventions can be effective in improving symptoms of anxiety, depression, stress, and insomnia in the public during the COVID-19 pandemic. However, additional randomized controlled trial studies are needed to determine which types of interventions are more appropriate for which populations and how they can be implemented to achieve better intervention outcomes.

A composite ranking of risk factors for COVID-19 time-to-event data from a Turkish cohort.

Having a complete and reliable list of risk factors from routine laboratory blood test for COVID-19 disease severity and mortality is important for patient care and hospital management. It is common to use meta-analysis to combine analysis results from different studies to make it more reproducible. In this paper, we propose to run multiple analyses on the same set of data to produce a more robust list of risk factors. With our time-to-event survival data, the standard survival analysis were extended in three directions. The first is to extend from tests and corresponding p-values to machine learning and their prediction performance. The second is to extend from single-variable to multiple-variable analysis. The third is to expand from analyzing time-to-decease data with death as the event of interest to analyzing time-to-hospital-release data to treat early recovery as a meaningful event as well. Our extension of the type of analyses leads to ten ranking lists. We conclude that 20 out of 30 factors are deemed to be reliably associated to faster-death or faster-recovery. Considering correlation among factors and evidenced by stepwise variable selection in random survival forest, 10 ~ 15 factors seem to be able to achieve the optimal prognosis performance. Our final list of risk factors contain calcium, white blood cell and neutrophils count, urea and creatine, d-dimer, red cell distribution widths, age, ferritin, glucose, lactate dehydrogenase, lymphocyte, basophils, anemia related factors (hemoglobin, hematocrit, mean corpuscular hemoglobin concentration), sodium, potassium, eosinophils, and aspartate aminotransferase.

Psychotropic Medication Use Is Associated With Greater 1-Year Incidence of Dementia After COVID-19 Hospitalization.

Background: COVID-19 has been associated with an increased risk of incident dementia (post-COVID dementia). Establishing additional risk markers may help identify at-risk individuals and guide clinical decision-making. Methods: We investigated pre-COVID psychotropic medication use (exposure) and 1-year incidence of dementia (outcome) in 1,755 patients (≥65 years) hospitalized with COVID-19. Logistic regression models were used to examine the association, adjusting for demographic and clinical variables. For further confirmation, we applied the Least Absolute Shrinkage and Selection Operator (LASSO) regression and a machine learning (Random Forest) algorithm. Results: One-year incidence rate of post-COVID dementia was 12.7% (N = 223). Pre-COVID psychotropic medications (OR = 2.7, 95% CI: 1.8-4.0, P < 0.001) and delirium (OR = 3.0, 95% CI: 1.9-4.6, P < 0.001) were significantly associated with greater 1-year incidence of post-COVID dementia. The association between psychotropic medications and incident dementia remained robust when the analysis was restricted to the 423 patients with at least one documented neurological or psychiatric diagnosis at the time of COVID-19 admission (OR = 3.09, 95% CI: 1.5-6.6, P = 0.002). Across different drug classes, antipsychotics (OR = 2.8, 95% CI: 1.7-4.4, P < 0.001) and mood stabilizers/anticonvulsants (OR = 2.4, 95% CI: 1.39-4.02, P = 0.001) displayed the greatest association with post-COVID dementia. The association of psychotropic medication with dementia was further confirmed with Random Forest and LASSO analysis. Conclusion: Confirming prior studies we observed a high dementia incidence in older patients after COVID-19 hospitalization. Pre-COVID psychotropic medications were associated with higher risk of incident dementia. Psychotropic medications may be risk markers that signify neuropsychiatric symptoms during prodromal dementia, and not mutually exclusive, contribute to post-COVID dementia.

Investigation of PTSD during the coronavirus epidemic

Aim: We investigated to understand post-traumatic stress disorder (PTSD) during the coronavirus epidemic, and related influential factors. We hoped to provide more basis for targeted services to improve public psychological health care. Methods: From the psychological aid platform set up by the Wuhan Mental Health Center, we obtained online sample data of Chinese residents during the coronavirus epidemic. We used the PTSD examination scale as the study tool and analyzed the data with SPSS. Results: A total of 376 data was collected. The PTSD degree of the public was 45.93 +/- 17.32, the positive detection rate was 63.56%, and the PTSD level increased with fluctuation. Participants' gender, educational level, and location were the influential factors. Specifically, women, lower educational backgrounds, and people in Wuhan were more likely to have PTSD. Conclusions: The epidemic had a great impact on people's psychological status. Although the epidemic has basically been brought under control, PTSD levels have not declined. Therefore, it is necessary to provide timely psychological assistance for people in need, and help them adapt to life as soon as possible. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

Mortality in association with antipsychotic medication use and clinical outcomes among geriatric psychiatry outpatients with COVID-19.

OBJECTIVES: Older adults are particularly vulnerable to the negative consequences of antipsychotic exposure and are disproportionally affected by higher mortality from coronavirus disease 2019 (COVID-19). Our goal was to determine whether concurrent antipsychotic medication use was associated with increased COVID-19 mortality in older patients with preexisting behavioral health problems. We also report on findings from post-COVID follow-ups. DESIGN: Retrospective observational study. PARTICIPANTS: Outpatients at a geriatric psychiatric clinic in New York City. MEASUREMENTS: Demographic and clinical data including medication, diagnosis and Clinical Global Impression Severity (CGI-S) scales on outpatients who had COVID-19 between February 28th and October 1st 2020 were extracted from the electronic health records (EHR) from the hospital. RESULTS: A total of 56 patients were diagnosed with COVID-19 (mean age 76 years; median age 75 years) and 13 (23.2%) died. We found an increased mortality risk for patients who were prescribed at least one antipsychotic medication at the time of COVID-19 infection (Fisher's exact test P = 0.009, OR = 11.1, 95% confidence interval: 1.4-96.0). This result remains significant after adjusting for age, gender, housing context and dementia (Logistic regression P = 0.035, Beta = 2.4). Furthermore, we found that most patients who survived COVID-19 (88.4%) recovered to pre-COVID baseline in terms of psychiatric symptoms. Comparison of pre- and post-COVID assessments of CGI-S for 33 patients who recovered from COVID-19 were not significantly different. CONCLUSION: We observed a higher COVID-19 mortality associated with concurrent antipsychotics use in older patients receiving behavioral health services. The majority of patients in our geriatric clinic who recovered from COVID-19 appeared to return to their pre-COVID psychiatric function. More precise estimates of the risk associated with antipsychotic treatment in older patients with COVID-19 and other underlying factors will come from larger datasets and meta-analyses.

Alpha variant (B.1.1.7) of SARS-CoV-2 increases fatality-rate for patients under age of 70 years and hospitalization risk overall.

The emergence of new SARS-CoV-2 variants is a challenge to the control of this pandemic. It is therefore important to collect and to analyze data related to the infection caused by different variants. We have obtained more than 3,700 COVID-19 patients between April 2020 and March 2021 from Tokat, Turkey (roughly 3,100 outpatients and close to 600 inpatients) where about 30% were infected with Alpha variant (B.1.1.7). Descriptive statistics was used to characterize different subgroups. Both logistic regression and cause-specific Cox survival analysis of competing-risk was run on inpatients, to examine the impact of Alpha variant on hospitalization, on mortality and on other factors. We observed that the Alpha variant is over-represented in inpatients than outpatients so infection by Alpha variant increases the chance for hospitalization. The impact of Alpha variant on mortality seems to depend on the patient's age. For patients under age of 70, the case-fatality-rate was 0.84% (5.3%) for patients without (with) Alpha variant (Fisher's test P-value = 2.4 × 10-10). For patients above age of 70, the trend is opposite: the case-fatality-rate is 31.5% (13.6%) for patients without (with) Alpha variant (Fisher's test P-value = 0.0016). The two opposite trends would cancel each other, making other analyses such as cause-specific Cox regression and logistic regression non-significant. The Alpha variant increases the risk for hospitalization, increases the case-fatality-rate for lower age group, and decreases the case-fatality-rate for the upper age group. If the increase of case-fatality-rate in not the most senior group holds true, it should provide useful information for a vaccination planning to counter the impact of Alpha variants.

Possible posttraumatic stress disorder in Chinese frontline healthcare workers who survived COVID-19 6 months after the COVID-19 outbreak: prevalence, correlates, and symptoms.

Suffering from COVID-19 and witnessing the suffering and deaths of patients with COVID-19 may place frontline healthcare workers (HCWs) at particularly high risk for posttraumatic stress disorder (PTSD); however, few data are available on the clinical characteristics of PTSD among frontline HCWs who survived COVID-19 ("surviving HCWs" hereafter). The present study examined the prevalence, correlates, and clinical symptoms of possible PTSD in surviving HCWs 6 months after the COVID-19 outbreak in China. A total of 291 surviving HCWs and 42 age- and gender-matched COVID-19-free frontline HCWs (control group) were recruited and administered the Chinese Essen Trauma Inventory, which was used to assess the presence of possible PTSD according to DSM-IV-TR criteria. Survivors' clinical data and characteristics of exposure to COVID-19 were collected via self-report questionnaires. Surviving HCWs had significantly higher rates of possible PTSD than controls (19.9% vs. 4.8%, P = 0.017). Correlates of PTSD in survivors were ICU admission (OR = 8.73, P = 0.003), >10 respiratory symptoms during the most symptomatic period of COVID-19 (OR = 3.08, P = 0.006), the residual symptom of dizziness (OR = 2.43, P = 0.013), the residual symptom of difficult breathing (OR = 2.23, P = 0.027), life in danger due to COVID-19 (OR = 16.59, P = 0.006), and exposure to other traumatic events (OR = 2.94, P = 0.035). Less commonly seen PTSD symptoms in survivors were having nightmares about the event (34.5%), suddenly feeling like they were living through the event suddenly (25.9%), being unable to remember an important part of the event (32.8%), and overalertness (31.0%). Nearly one-fifth of the surviving HCWs had possible PTSD 6 months after the COVID-19 outbreak. Mental health services for this vulnerable population should include periodic screening for PTSD, expanded social support, and, when necessary, psychotherapy and psychopharmacological treatment.

Feelings of loneliness and mental health needs and services utilization among Chinese residents during the COVID-19 epidemic.

BACKGROUND: Due to the implementation of social distancing and quarantine measures, loneliness has been a major public health concern during the COVID-19 pandemic. However, few studies have examined loneliness in Chinese residents during the COVID-19 epidemic, as well as its associations with mental health needs and services utilization. METHODS: The present study was a cross-sectional survey during the COVID-19 outbreak in China. A total of 7741 adults were invited and completed an online self-administered questionnaire. The Chinese 12-item General Health Questionnaire was used to screen for common mental health problems, loneliness was measured with a single-item self-report question ("How often do you feel lonely in recent days?"), and two standardized questions were used to assess perceived needs for and use of mental health services. RESULTS: In total, 24.2 % of the participants felt lonely in recent days. Age of 16-29 years (OR = 1.36, P = 0.020), marital status of never-married (OR = 1.47, P < 0.001), marital status of "others" (re-married, co-habiting, separated, divorced, and widowed) (OR = 1.72, P < 0.001), having infected family members or close relatives (OR = 1.64, P = 0.026), and having infected colleagues, friends, or classmates (OR = 1.62, P < 0.001) were significant correlates of loneliness. Rates of mental health needs (17.4 % vs. 4.9 %, P < 0.001) and services utilization (2.7 % vs. 1.0 %, P < 0.001) were significantly higher in lonely than not lonely participants. After adjusting for socio-demographic and epidemic characteristics and common mental health problems, loneliness was still significantly associated with mental health needs (OR = 2.50, P < 0.001) and services utilization (OR = 1.62, P = 0.020). CONCLUSIONS: Feelings of loneliness are prevalent among Chinese residents affected by the COVID-19 epidemic and the presence of loneliness is associated with high levels of mental health needs and greater services utilization. Effective measures aiming at preventing or reducing loneliness are potentially beneficial for the mental wellbeing of COVID-19-affected population and reducing the use of the limited mental health service resources during the COVID-19 pandemic.

Presentation and Outcome of Coronavirus Disease (COVID-19) in Patients at a Geriatric Psychiatric Outpatient Clinic

Introduction The novel coronavirus disease 2019 (COVID-19) disproportionally affects elderly patients leading to particularly high morbidity and mortality rates in this population. Age, gender, comorbidities, and housing context have been reported to be among the risk factors for mortality. Exposure to antipsychotics have been discussed to potentially impact the immune response and may pose additional risks. Furthermore, neuropsychiatric presentations are common among older patients and it is unclear how geriatric patients with preexisting psychiatric and neuropsychiatric problems recover from COVID-19. Methods In this retrospective observational study, we describe demographic characteristics of patients at a large geriatric psychiatric outpatient clinic in the New York metropolitan area, who had COVID-19. Our aim is to identify factors that may be associated with increased mortality and to evaluate whether those who survived returned to pre-COVID baseline function. We combined information provided by the treating psychiatrists with data that could be extracted from the electronic health records. Results Between February and September 2020, we identified 56 patients who were diagnosed with COVID-19 (mean age 76 years old). Thirteen patients (23.2%) died and we found that antipsychotics use at the time of COVID-19 infection is associated with increased risk of death (Fisher's exact test P= 0.009, odds ratio = 11.5, 95% confidence interval: 1.4 – 96.0). The result remains significant after adjusting for age, gender, housing context and presence of neurocognitive disorder (Logistic regression P=0.037, Beta=2.4). Furthermore, we found that most patients who survived COVID-19 recovered to baseline (88.4%) as indicated by the ratio of pre- and post-COVID Clinical Global Impressions Severity scale (mean ratio= 0.98, median=1.0, One-sample t-test P=0.48) in 33 patients. Conclusions In conclusion, antipsychotics appear to be associated with higher mortality in our geriatric psychiatry outpatient cohort. However, it is encouraging to find that the majority of elderly patients who survived COVID-19 seems to recover to their baseline neuropsychiatric function. Future larger studies are needed to put these observations into a broader context as well as to explore underlying mechanisms of risk factors. Funding NIH K08 AG054727

Mental health problems, needs, and service use among people living within and outside Wuhan during the COVID-19 epidemic in China.

BACKGROUND: Crisis mental health services for the general population are an essential component in combating the COVID-19 epidemic. To facilitate planning of mental health services, empirical data on mental health problems and service utilization of populations affected by the epidemic are urgently needed. This study investigated the prevalence of mental health problems of residents within and outside Wuhan, China, as well as their patterns of mental health service utilization. METHODS: From January 27 to February 2, 2020, an online cross-sectional survey recruited residents from 4 subpopulations: Wuhan residents (n=2,617), migrants from Wuhan (those who left Wuhan before lockdown, n=930), other Hubei residents (n=633), and residents of other provinces of China ("other residents", n=3,561). Participants' mental health problems and patterns of utilization of mental health services in recent days were assessed with standardized assessments. RESULTS: Among the 4 groups, Wuhan residents had the highest rate of any type of mental health problem (i.e., psychological distress: 41.9%), followed by migrants from Wuhan (34.2%), other Hubei residents (24.8%), and other residents (21.1%). Rates of perceived mental health needs and utilization of mental health services during recent days were 10.2% and 1.9% for Wuhan residents, 8.4% and 1.8% for migrants from Wuhan, 6.2% and 1.1% for other Hubei residents, and 6.4% and 1.0% for other residents, respectively. Overall, 63.0% mental health service users received services via internet and telephone, and 83.1% participants with perceived mental health needs ascribed their lack of help-seeking to barriers to accessibility and availability. CONCLUSIONS: The COVID-19 epidemic is associated with unprecedented levels of mental health problems and needs in affected residents. To address the unmet mental health needs, internet- and telephone-based mental health services should be widely provided to residents, especially those in the worst-affected regions.

Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey.

Unprecedented measures have been adopted to control the rapid spread of the ongoing COVID-19 epidemic in China. People's adherence to control measures is affected by their knowledge, attitudes, and practices (KAP) towards COVID-19. In this study, we investigated Chinese residents' KAP towards COVID-19 during the rapid rise period of the outbreak. An online sample of Chinese residents was successfully recruited via the authors' networks with residents and popular media in Hubei, China. A self-developed online KAP questionnaire was completed by the participants. The knowledge questionnaire consisted of 12 questions regarding the clinical characteristics and prevention of COVID-19. Assessments on residents' attitudes and practices towards COVID-19 included questions on confidence in winning the battle against COVID-19 and wearing masks when going out in recent days. Among the survey completers (n=6910), 65.7% were women, 63.5% held a bachelor degree or above, and 56.2% engaged in mental labor. The overall correct rate of the knowledge questionnaire was 90%. The majority of the respondents (97.1%) had confidence that China can win the battle against COVID-19. Nearly all of the participants (98.0%) wore masks when going out in recent days. In multiple logistic regression analyses, the COVID-19 knowledge score (OR: 0.75-0.90, P<0.001) was significantly associated with a lower likelihood of negative attitudes and preventive practices towards COVID-2019. Most Chinese residents of a relatively high socioeconomic status, in particular women, are knowledgeable about COVID-19, hold optimistic attitudes, and have appropriate practices towards COVID-19. Health education programs aimed at improving COVID-19 knowledge are helpful for Chinese residents to hold optimistic attitudes and maintain appropriate practices. Due to the limited sample representativeness, we must be cautious when generalizing these findings to populations of a low socioeconomic status.