Prevalence of Depressive Symptoms Among Pregnant and Postpartum Women in China During the COVID-19 Pandemic.

OBJECTIVE: According to recent studies, the COVID-19 pandemic has been associated with an increased risk of mental health problems across many subpopulations including pregnant and postnatal women. This study examined the prevalence and correlates of depressive symptoms (depression hereafter) in Chinese pregnant and postpartum women during the COVID-19 pandemic. METHODS: This was a multicenter, cross-sectional study comprising 1309 pregnant and postpartum women across 12 provinces in China during the COVID-19 pandemic. Depression was assessed using the nine-item Patient Health Questionnaire. Univariate analyses and multivariate logistic regression analyses were conducted. RESULTS: The prevalence of depression in pregnant and postpartum women was 27.43% (95% confidence interval [CI] = 25.01%-29.85%). Women who were worried about themselves or their babies being infected with COVID-19 (odds ratio [OR] = 2.562, 95% CI = 1.670-3.929), and those who had delayed regular medical checkups (OR = 2.434, 95% CI = 1.580-3.750) were at higher risk of depression. Compared with those living in central and western parts of China, women living in northern (OR = 0.513, 95% CI = 0.326-0.807) and southeastern parts of China (OR = 0.626, 95% CI = 0.463-0.846) were less likely to have depression. CONCLUSIONS: The COVID-19 pandemic was associated with an increased likelihood of mental health problems among pregnant and postnatal women. Over a quarter of the pregnant and postpartum women in China had depression during the COVID-19 pandemic. Considering the negative health impact of depression, preventive measures, regular mental health screening, and medical checkups are needed with the goal to reduce the risk of depression in this vulnerable population during a pandemic.

Frailty as a predictor of mortality among patients with COVID-19: a systematic review and meta-analysis.

BACKGROUND: A large number of studies have explored the association between frailty and mortality among COVID-19 patients, with inconsistent results. The aim of this meta-analysis was to synthesize the evidence on this issue. METHODS: Three databases, PubMed, Embase, and Cochrane Library, from inception to 20th January 2021 were searched for relevant literature. The Newcastle-Ottawa Scale (NOS) was used to assess quality bias, and STATA was employed to pool the effect size by a random effects model. Additionally, potential publication bias and sensitivity analyses were performed. RESULTS: Fifteen studies were included, with a total of 23,944 COVID-19 patients, for quantitative analysis. Overall, the pooled prevalence of frailty was 51% (95% CI: 44-59%). Patients with frailty who were infected with COVID-19 had an increased risk of mortality compared to those without frailty, and the pooled hazard ratio (HR) and odds ratio (OR) were 1.99 (95% CI: 1.66-2.38) and 2.48 (95% CI: 1.78-3.46), respectively. In addition, subgroup analysis based on population showed that the pooled ORs for hospitalized patients in eight studies and nursing home residents in two studies were 2.62 (95% CI: 1.68-4.07) and 2.09 (95% CI: 1.40-3.11), respectively. Subgroup analysis using the frailty assessment tool indicated that this association still existed when using the clinical frailty scale (CFS) (assessed in 6 studies, pooled OR = 2.88, 95% CI: 1.52-5.45; assessed in 5 studies, pooled HR = 1.99, 95% CI: 1.66-2.38) and other frailty tools (assessed in 4 studies, pooled OR = 1.98, 95% CI: 1.81-2.16). In addition, these significant positive associations still existed in the subgroup analysis based on study design and geographic region. CONCLUSION: Our study indicates that frailty is an independent predictor of mortality among patients with COVID-19. Thus, frailty could be a prognostic factor for clinicians to stratify high-risk groups and remind doctors and nurses to perform early screening and corresponding interventions urgently needed to reduce mortality rates in patients infected by SARS-CoV-2.

Prevalence of depression and its association with quality of life in clinically stable patients with COVID-19.

INTRODUCTION: High risk of mental health problems is associated with Coronavirus Disease 2019 (COVID-19). This study explored the prevalence of depressive symptoms (depression hereafter) and its relationship with quality of life (QOL) in clinically stable patients with COVID-19. METHODS: This was an online survey conducted in COVID-19 patients across five designated isolation hospitals for COVID-19 in Hubei province, China. Depression and QOL were assessed with standardized instruments. RESULTS: A total of 770 participants were included. The prevalence of depression was 43.1% (95%CI: 39.6%-46.6%). Binary logistic regression analysis found that having a family member infected with COVID-19 (OR=1.51, P = 0.01), suffering from severe COVID-19 infection (OR=1.67, P = 0.03), male gender (OR=0.53, P<0.01), and frequent social media use to obtain COVID-19 related information (OR=0.65, P<0.01) were independently associated with depression. Patients with depression had lower QOL than those without. CONCLUSION: Depression is highly prevalent in clinically stable patients with COVID-19. Regular screening and appropriate treatment of depression are urgently warranted for this population.

Association of insomnia disorder with sociodemographic factors and poor mental health in COVID-19 inpatients in China.

PURPOSE: To examine insomnia disorder and its association with sociodemographic factors and poor mental health in 2019 novel coronavirus (COVID-19) inpatients in Wuhan, China. DESIGN: and Methods: A total of 484 COVID-19 inpatients in Wuhan Tongji Hospital were selected and interviewed with standardized assessment tools. Insomnia disorder was measured by the Chinese version of the Insomnia Severity Index (ISI-7), a total score of 8 or more was accepted as the threshold for diagnosing insomnia disorder. RESULTS: The prevalence of insomnia disorder in the whole sample was 42.8%. Binary logistic regression analysis revealed that female gender, younger age, and higher fatigue and anxiety severity were more likely to experience insomnia disorder. CONCLUSION: Given the high rate of insomnia disorder status among COVID-19 inpatients in Wuhan, China, and its negative effects, follow-up assessments and appropriate psychological interventions for insomnia disorder are needed in this population.

Holistic care for patients with severe coronavirus disease 2019: An expert consensus.

OBJECTIVE: To standardize the holistic care for patients with severe coronavirus disease 2019 (COVID-19) in China. METHODS: The consensus was preliminarily formed by combining relevant literature findings and frontline medical working experiences, and it was eventually confirmed by five rounds of online discussions and expert consultations. RESULTS: This consensus included nursing assessment, nursing priorities, nursing goals, and thirteen key points of nursing procedures such as oxygen therapy and respiratory nursing, etc. CONCLUSION: This scientific and practical consensus guideline can provide clinical guidance on the holistic nursing care of patients with severe COVID-19.