Background: The COVID-19 pandemic continues to rise. In order to control the COVID-19 pandemic, healthcare professionals have been subjected to increased exposure to work stress. In this systematic review, we aimed at investigating the prevalence and determinants of immediate and long-term post-traumatic stress disorder (PTSD) effects on healthcare professionals by the COVID-19 (SARS CoV-2) and SARS-2003 (SARS CoV-1) pandemics. Methods: This systematic review was conducted according to the recommendations of the Protocols for Systemic Review and Meta-Analysis (PRISMA) statement. Only studies reporting the prevalence of PTSD (frequency, percentage) and related risk factors (adjusted odds ratio (OR)) in healthcare professionals (HCPs) during the SARS CoV-2 and SARS CoV-1 pandemics were included. The following databases were screened: Medline, Embase, PsychINFO, and Health Psychosocial Instrument (HaPI). Results: Six of eight studies reported PTSD symptoms among healthcare professionals during the COVID-19 pandemic in China (three), Singapore (one), India (one), and the United States of America (USA) (two), while two studies reported symptoms during the SARS-2003 pandemic in China (one) and Singapore (one). Sample sizes ranged from 263 to 5062 with a combined total of 10,074 participants. All of the studies self-reported the level of exposure to coronaviruses (CoV-1 and CoV-2) and severity of PTSD. Seven studies reported the prevalence of immediate PTSD and determinants, while one study reported delayed-onset PTSD (3 years after CoV-1 pandemic). Determinants of immediate PTSD were reported for the CoV-2 pandemic, while those for long-term PTSD were reported for the CoV-1 pandemic. Conclusions: A comprehensive understanding of the prevalence and determinants of immediate or long-term pandemic PTSD for healthcare workers can improve prevention, diagnosis, and management. Rigorous research measuring the prevalence of PTSD and its associated risk factors (adjusted OR) for the CoV-2 pandemic are envisaged. Although strategies to resolve immediate PTSD are key, long-term PTSD must not be overlooked.

IntroductionThe objective of this study was to investigate the psychosocial and cardiovascular markers in healthcare professionals during the COVID-19 pandemic.MethodsThis was a STROBE compliant, blended exploratory study. Residents, staff physicians, nurses, and auxiliary healthcare professionals from both inpatient and outpatient medicine services were recruited using a planned random probability sample. The Maslach Burnout Inventory (MBI), Fuster-BEWAT score (FBS), and socio-demographic factors, as well as sleep quality, were studied. The correlations between burnout severity and cardiovascular risk were examined using multivariable linear regression models adjusted for confounding variables, such as sociodemographic and anthropometric characteristics.ResultsThe regression analysis with FBS as the outcome showed a negative association between cardiovascular health and emotional exhaustion [Coef.(95%CI): −0.029 (−0.048, −0.01), p = 0.002]. The higher the emotional exhaustion the lower the cardiovascular health. Further, the model showed a positive association between personal accomplishment and cardiovascular health [Coef.(95%CI): 0.045 (0.007, 0.082), p = 0.02]. Emotional exhaustion was significantly positive correlated with REM sleep and light average (Spearman’s rank correlation: 0.37 and 0.35, respectively, with P < 0.05).ConclusionThe data from this study show that healthcare practitioners who are with burnout and emotional exhaustion have an elevated cardiovascular risk, however, causality cannot be determined. As an adaptive response to stressful situations, REM sleep increases. The findings of this study may be relevant in creating preventive strategies for burnout and cardiovascular risk reduction or prevention.Clinical Trial Registration[www.ClinicalTrials.gov], identifier [NCT04422418].

Introduction: The coronavirus disease 2019 (COVID-19) pandemic has created new and unpredictable challenges for healthcare systems. Healthcare professionals are heavily affected by this rapidly changing situation, especially frontline healthcare professionals who are directly engaged in the diagnosis, treatment, and care of patients with COVID-19 and may experience psychological burdens. The objective of this study is to explore the evolution of psychosocial, cardiovascular, and immune markers in healthcare professionals with different levels of exposure to the COVID-19 pandemic.Methods and Analysis: This is a STROBE compliant, blended, exploratory study involving online and onsite approaches that use wearable monitoring. A planned random probability sample of residents, staff physicians, nurses, and auxiliary healthcare professionals will be recruited. The study sample will be stratified by exposure to the COVID-19 pandemic. As a first step, recruitment will be conducted online, with e-consent and using e-surveys with Maslach Burnout Inventory, Fuster-BEWAT score, and sociodemographic characteristics. Onsite visits will be planned for the second step where participants will receive a wearable setup that will measure heart rate, actimetry, and sleep quality monitoring, which will be used together with blood sampling for immune biomarkers. Steps 1 and 2 will then be repeated at 2–3 months, and 6 months. Power BI and Tableau will be used for data visualization, while front-end data capture will be used for data collection using specific survey/questionnaires, which will enable data linkage between e-surveys, internet of things wearable devices, and clinical laboratory data.Clinical Trial Registration:ClinicalTrials.gov; Identifier: NCT04422418

Congenital anomalies (CAs) are a leading cause of morbidity and mortality in early life. We aimed to assess the incidence, risk factors, and outcomes of major CAs in the State of Qatar. A population-based retrospective data analysis of registry data retrieved from the Perinatal Neonatal Outcomes Research Study in the Arabian Gulf (PEARL-Peristat Study) between April 2017 and March 2018. The sample included 25,204 newborn records, which were audited between April 2017 and March 2018, of which 25,073 live births were identified and included in the study. Maternal risk factors and neonatal outcomes were assessed for association with specific CAs, including chromosomal/genetic, central nervous system (CNS), cardiovascular system (CVS), facial, renal, multiple congenital anomalies (MCAs) using univariate and multivariate analyses. The incidence of any CA among live births was 1.3% (n = 332). The most common CAs were CVS (n = 117; 35%), MCAs (n = 69, 21%), chromosomal/genetic (51; 15%), renal (n = 39; 12%), CNS (n = 20; 6%), facial (14, 4%), and other (GIT, Resp, Urogenital, Skeletal) (n = 22, 7%) anomalies. Multivariable regression analysis showed that multiple pregnancies, parity ≥ 1, maternal BMI, and demographic factors (mother’s age and ethnicity, and infant’s gender) were associated with various specific CAs. In-hospital mortality rate due to CAs was estimated to be 15.4%. CAs were significantly associated with high rates of caesarean deliveries (aOR 1.51; 95% CI 1.04–2.19), Apgar < 7 at 1 min (aOR 5.44; 95% CI 3.10–9.55), Apgar < 7 at 5 min (aOR 17.26; 95% CI 6.31–47.18), in-hospital mortality (aOR 76.16; 37.96–152.8), admission to neonatal intensive care unit (NICU) or perinatal death of neonate in labor room (LR)/operation theatre (OT) (aOR 34.03; 95% CI 20.51–56.46), prematurity (aOR 4.17; 95% CI 2.75–6.32), and low birth weight (aOR 5.88; 95% CI 3.92–8.82) before and after adjustment for the significant risk factors. This is the first study to assess the incidence, maternal risk factors, and neonatal outcomes associated with CAs in the state of Qatar. Therefore, a specialized congenital anomaly data registry is needed to identify risk factors and outcomes. In addition, counselling of mothers and their families may help to identify specific needs for pregnant women and their babies.

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