Prevalence and Risk Factors Associated with Postpartum Depression during the COVID-19 Pandemic: A Literature Review and Meta-Analysis.

BACKGROUND: Owing to the high prevalence and detrimental consequences, postpartum depression (PPD) has been identified as one of the severe global public health issues in the last decade. Prior research found that during disasters or events, the prevalence rates of mental disorders among postpartum women are significantly high. However, the effect of the coronavirus disease 2019 (COVID-19) pandemic on PPD and its risk factors remained unclear for postpartum women. Therefore, the present systematic review and meta-analysis aimed to estimate the influence of the COVID-19 pandemic on the prevalence of PPD and to summarize risk factors for PPD during the COVID-19 pandemic. METHODS: Three electronic databases of MEDLINE, EMBASE, and Cochrane library databases were systematically searched for articles from their commencements until 1 November 2021. Quality assessment of included studies, random-effects meta-analysis, and sensitivity analysis were performed. RESULTS: A total of eight studies with 6480 postpartum women during the COVID-19 pandemic were included, and most studies were conducted in developed countries. The pooled prevalence of PPD was 34% (95% CI: 21-46%) during the COVID-19 pandemic, much higher than the incident of previous research during the non-pandemic period. Risk factors for PPD during the COVID-19 pandemic were defined as socio-demographic and clinical characteristics, stress and anxiety, lack of various supports, and the COVID-19 related factors. CONCLUSION: The research findings indicated that the COVID-19 pandemic could make detrimental effects on maternal mental wellbeing among women after childbirth. Investigating the prevalence and risk factors of PPD among postpartum women could shed some light on their mental and emotional states; so that support measures and tailored interventions from health professionals and policymakers could be offered to improve the maternal and infant outcomes, especially during the COVID-19 pandemic. Much more research on maternal psychological wellbeing during the COVID-19 pandemic was strongly recommended to undertake in the middle and low-income countries.

Carcinoembryonic Antigen: A Potential Biomarker to Evaluate the Severity and Prognosis of COVID-19.

Background and Objectives: Corona Virus Disease 2019 (COVID-19) has become a serious pandemic disease worldwide. Identification of biomarkers to predict severity and prognosis is urgently needed for early medical intervention due to high mortality of critical cases with COVID-19. This retrospective study aimed to indicate the values of carcinoembryonic antigen (CEA) in evaluating the severity and prognosis of COVID-19. Methods: We included 46 death cases from intensive care unit and 68 discharged cases from ordinary units with confirmed COVID-19 of Wuhan Jin Yin-tan Hospital from January 1 to March 22, 2020. Laboratory and radiologic data were analyzed retrospectively. All patients were followed up until April 10, 2020. Results: COVID-19 patients in the death group had significantly higher CEA levels (ng/ml) than discharged group (14.80 ± 14.20 vs. 3.80 ± 2.43, P < 0.001). The risk of COVID-19 death increased 1.317 times for each additional 1 ng/ml CEA level (OR = 1.317, 95% CI: 1.099-1.579). The standardized and weighted receiver operating characteristic curve (ROC) analysis adjusted to age, sex, and ferritin levels suggested that the area under the curve (AUC) of the serum CEA levels was 0.808 in discrimination between death cases and discharged cases with COVID-19 (P < 0.001). We found mortality of COVID-19 is associated with elevated CEA levels increased (HR = 1.023, 95% CI: 1.005-1.042), as well as age (HR = 1.050, 95% CI: 1.016-1.086) and ferritin levels (HR = 1.001, 95% CI: 1.001-1.002) by survival analysis of Cox regression model. Among discharged patients, CEA levels were significant lower in moderate cases compared to the severe and critical cases (P = 0.005; OR = 0.488, 95% CI: 0.294-0.808) from binary logistic regression analysis. The AUC of CEA levels was 0.79 in distinguishing moderate cases from discharged COVID-19 patients by standardized and weighted ROC analysis (P < 0.001). A positive correlation between CEA levels and CT scores existed in discharged patients (Correlation Coefficient: 0.687; P < 0.001). Conclusions: Elevated CEA levels increased the risk of death from COVID-19 and CEA levels were related to CT scores of the discharged patients positively.