Extrapulmonary manifestations and complications of severe acute respiratory syndrome coronavirus 2 infection: a systematic review.

INTRODUCTION: We aimed to describe the extrapulmonary manifestations of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection, including their frequency, onset with respect to respiratory symptoms, pathogenesis and association with disease severity. METHODS: We searched the MEDLINE and Embase databases for SARS-CoV-2-related studies. Meta-analysis, observational studies, case series and case reports published in English or Chinese between 1 January and 1 May 2020 were included. Reports with only paediatric or obstetric cases were excluded. RESULTS: 169 articles were included. Early manifestations (preceding respiratory symptoms until Day 6 of onset) included olfactory and gustatory disturbance (self-reported in up to 68% and 85% of cases, respectively), gastrointestinal symptoms (up to 65.9%) and rash (up to 20.4%). From Day 7 onwards, hypercytokinaemia, paralleled multi-organ complications including acute cardiac injury (pooled incidence of 17.7% in 1,412 patients, mostly with severe disease and 17.4% mortality), kidney and liver injury (up to 17% and 33%, respectively) and thrombocytopenia (up to 30%). Hypercoagulability resulted in venous thromboembolic events in up to 31% of all patients. Uncommon disease presentation and complications comprised Guillain-Barré syndrome, rhabdomyolysis, otitis media, meningoencephalitis and spontaneous pneumomediastinum. CONCLUSION: Although the systemic manifestations of SARS-CoV-2 infection are variegated, they are deeply interwoven by shared mechanisms. Two phases of extrapulmonary disease were identified: (a) an early phase with possible gastrointestinal, ocular and cutaneous involvement and (b) a late phase characterised by multiorgan dysfunction and clinical deterioration. A clear, multidisciplinary consensus to define and approach thromboinflammation and cytokine release syndrome in SARS-CoV-2 is needed.

Investigating Psychological Differences Between Nurses and Other Health Care Workers From the Asia-Pacific Region During the Early Phase of COVID-19: Machine Learning Approach.

BACKGROUND: As the COVID-19 pandemic evolves, challenges in frontline work continue to impose a significant psychological impact on nurses. However, there is a lack of data on how nurses fared compared to other health care workers in the Asia-Pacific region. OBJECTIVE: This study aims to investigate (1) the psychological outcome characteristics of nurses in different Asia-Pacific countries and (2) psychological differences between nurses, doctors, and nonmedical health care workers. METHODS: Exploratory data analysis and visualization were conducted on the data collected through surveys. A machine learning modeling approach was adopted to further discern the key psychological characteristics differentiating nurses from other health care workers. Decision tree-based machine learning models (Light Gradient Boosting Machine, GradientBoost, and RandomForest) were built to predict whether a set of psychological distress characteristics (ie, depression, anxiety, stress, intrusion, avoidance, and hyperarousal) belong to a nurse. Shapley Additive Explanation (SHAP) values were extracted to identify the prominent characteristics of each of these models. The common prominent characteristic among these models is akin to the most distinctive psychological characteristic that differentiates nurses from other health care workers. RESULTS: Nurses had relatively higher percentages of having normal or unchanged psychological distress symptoms relative to other health care workers (n=233-260 [86.0%-95.9%] vs n=187-199 [74.8%-91.7%]). Among those without psychological symptoms, nurses constituted a higher proportion than doctors and nonmedical health care workers (n=194 [40.2%], n=142 [29.5%], and n=146 [30.3%], respectively). Nurses in Vietnam showed the highest level of depression, stress, intrusion, avoidance, and hyperarousal symptoms compared to those in Singapore, Malaysia, and Indonesia. Nurses in Singapore had the highest level of anxiety. In addition, nurses had the lowest level of stress, which is the most distinctive psychological outcome characteristic derived from machine learning models, compared to other health care workers. Data for India were excluded from the analysis due to the differing psychological response pattern observed in nurses in India. A large number of female nurses emigrating from South India could not have psychologically coped well without the support from family members while living alone in other states. CONCLUSIONS: Nurses were least psychologically affected compared to doctors and other health care workers. Different contexts, cultures, and points in the pandemic curve may have contributed to differing patterns of psychological outcomes amongst nurses in various Asia-Pacific countries. It is important that all health care workers practice self-care and render peer support to bolster psychological resilience for effective coping. In addition, this study also demonstrated the potential use of decision tree-based machine learning models and SHAP value plots in identifying contributing factors of sophisticated problems in the health care industry.

Safety attitudes, burnout and wellbeing among healthcare workers during the COVID-19 pandemic: an Indo-Pacific regional cross-sectional study.

INTRODUCTION: The COVID-19 pandemic has had an unprecedented impact in Asia and has placed significant burden on already stretched healthcare systems. We examined the impact of COVID-19 on safety attitudes among healthcare workers (HCWs) as well as their associated demographic and occupational factors, and measures of burnout, depression and anxiety. METHODS: A cross-sectional survey study utilising snowball sampling was performed involving doctors, nurses and allied health professions from 23 hospitals in Singapore, Malaysia, India and Indonesia between 29 May 2020 and 13 July 2020. This survey collated demographic data and workplace conditions and included three validated questionnaires: Safety Attitudes Questionnaire (SAQ); Oldenburg Burnout Inventory; and Hospital and Anxiety Depression Scale. We performed multivariate mixed model regression to assess for independent associations with the SAQ Total Percentage Agree Rates (PAR). RESULTS: We obtained 3,163 responses. A SAQ Total PAR of 35.7%, 15.0%, 51.0% and 3.3% was calculated among respondents from Singapore, Malaysia, India and Indonesia, respectively. Burnout scores were highest among respondents from Indonesia and lowest in respondents from India at 70.9%-85.4% versus 56.3%-63.6%, respectively. Multivariate analyses revealed that meeting burnout and depression thresholds, and shifts lasting ≥ 12 hours were significantly associated with lower SAQ Total PAR. CONCLUSION: Addressing factors contributing to high burnout and depression, and placing strict limits on work hours per shift may contribute significantly towards improving safety culture among HCWs and should remain priorities as this pandemic continues.

Aseptic meningitis after BNT-162b2 COVID-19 vaccination.

The COVID-19 pandemic has had an unprecedented impact on healthcare systems globally, giving rise to significant morbidity and mortality. Vaccination has been widely regarded as the most important strategy to contain the pandemic. Whilst local side-effects of the BNT-162b2 (Pfizer-BioNTech) vaccine are well known, concern has emerged due to sporadic reports of immune-mediated adverse effects (Cines and Bussel, 2021; Rela et al., 2021). As of August 19, 2021, 4.54 million individuals had received COVID-19 vaccines in Singapore (Oxford Martin School UoO, 2021). We report a case series of two patients who developed aseptic meningitis after vaccination.

Cerebral Venous Thrombosis in Patients with COVID-19 Infection: a Case Series and Systematic Review.

BACKGROUND: There has been increasing reports associating the coronavirus disease 2019 (COVID-19) with thromboembolic phenomenon including ischemic strokes and venous thromboembolism. Cerebral venous thrombosis (CVT) is a rare neurovascular emergency that has been observed in some COVID-19 patients, yet much remains to be learnt of its underlying pathophysiology. OBJECTIVE: We present a case series of local patients with concomitant COVID-19 infection and CVT; and aim to perform a systematic review of known cases in the current literature. METHODS: We describe two patients with concomitant COVID-19 infection and CVT from a nationwide registry in Singapore. We then conducted a literature search in PubMed and Embase using a suitable keyword search strategy from 1st December 2019 to 11th June 2020. All studies reporting CVT in COVID-19 patients were included. RESULTS: Nine studies and 14 COVID-19 patients with CVT were studied. The median age was 43 years (IQR=36-58) and majority had no significant past medical conditions (60.0%). The time taken from onset of COVID-19 symptoms to CVT diagnosis was a median of 7 days (IQR=6-14). CVT was commonly seen in the transverse (75.0%) and sigmoid sinus (50.0%); 33.3% had involvement of the deep venous sinus system. A significant proportion of patients had raised D-dimer (75.0%) and CRP levels (50.0%). Two patients reported presence of antiphospholipid antibodies. Most patients received anticoagulation (91.7%) while overall mortality rate was 45.5%. CONCLUSIONS: The high mortality rate of CVT in COVID-19 infection warrants a high index of suspicion from physicians, and early treatment with anticoagulation should be initiated.