Estimating the risk of incident SARS-CoV-2 infection among healthcare workers in quarantine hospitals: the Egyptian example.

In response to the COVID-19 epidemic, Egypt established a unique care model based on quarantine hospitals where only externally-referred confirmed COVID-19 patients were admitted, and healthcare workers resided continuously over 1- to 2-week working shifts. Using a mathematical model accounting for the false-negative rates of RT-PCR tests, we computed the incidence rate of SARS-CoV-2 infection among HCWs, while unveiling the proportion of infections remaining undiagnosed despite routine testing. We relied on longitudinal data, including results of routine RT-PCR tests, collected within three Egyptian quarantine hospitals. We estimated an incidence rate (per 100 person-day, PD) of 1.05 (95% CrI 0.58-1.65) at Hospital 1, 1.92 (95% CrI 0.93-3.28) at Hospital 2 and 7.62 (95% CrI 3.47-13.70) at Hospital 3. We found that the risk for an HCW to be infected during a working shift lay within the range of risk levels previously documented in standard healthcare settings for Hospitals 1-2, whereas it was > threefold higher for Hospital 3. This large variation suggests that HCWs from quarantine hospitals may face a high occupational risk of infection, but that, with sufficient infection control measures, this risk can be brought down to levels similar to those observed in standard healthcare settings.

The COVEG score to predict severity and mortality among hospitalized patients with COVID-19.

INTRODUCTION: COVID-19 severity and mortality predictors could determine admission criteria and reduce mortality. We aimed to evaluate the clinical-laboratory features of hospitalized patients with COVID-19 to develop a novel score of severity and mortality. METHODOLOGY: This retrospective cohort study was conducted using data from patients with COVID-19 who were admitted to five Egyptian university hospitals. Demographics, comorbidities, clinical manifestations, laboratory parameters, the duration of hospitalization, and disease outcome were analyzed, and a score to predict severity and mortality was developed. RESULTS: A total of 1308 patients with COVID-19, with 996 (76.1%) being moderate and 312 (23.9%) being severe cases, were included. The mean age was 46.5 ± 17.1 years, and 61.6% were males. The overall mortality was 12.6%. Regression analysis determined significant predictors, and a ROC curve defined cut-off values. The COVEG severity score was defined by age ≥ 54, D-dimer ≥ 0.795, serum ferritin ≥ 406, C-reactive protein ≥ 30.1, and neutrophil: lymphocyte ratio ≥ 2.88. The COVEG mortality score was based on COVEG severity and the presence of cardiac diseases. Both COVEG scores had high predictive values (area under the curve 0.882 and 0.883, respectively). CONCLUSIONS: COVEG score predicts the severity and mortality of patients with COVID-19 accurately.

Oropharyngeal Candidiasis among Egyptian COVID-19 Patients: Clinical Characteristics, Species Identification, and Antifungal Susceptibility, with Disease Severity and Fungal Coinfection Prediction Models.

The study aimed to investigate the causative species, antifungal susceptibility, and factors associated with oropharyngeal candidiasis (OPC) among Egyptian COVID-19 patients. This is an observational, case-controlled, single-center study that included three groups: COVID-19 patients (30), COVID-19 patients with OPC (39), and healthy individuals (31). Patients' demographic data (age, sex), laboratory tests, comorbidities, treatment, and outcomes were included. Candida species were isolated from COVID-OPC patient's oropharyngeal swabs by convenient microbiological methods. Isolated strains were tested for antimicrobial susceptibility, biofilm production, aspartyl protease, and phospholipase activities. The most common respiratory symptoms reported were dyspnea (36/39; 92.4%) and cough (33/39; 84.7%). Candida albicans was the most common isolated species, accounting for 74.36% (29/39), followed by Candida tropicalis and Candida glabrata (15.38% and 10.26%, respectively). Amphotericin was effective against all isolates, while fluconazole was effective against 61.5%. A total of 53.8% of the isolates were biofilm producers. The phospholipase activity of C. albicans was detected among 58.6% (17/29) of the isolates. Significant variables from this study were used to create two equations from a regression model that can predict the severity of disease course and liability to fungal infection, with a stativity of 87% and 91%, respectively. According to our findings, COVID-19 patients with moderate to severe infection under prolonged use of broad-spectrum antibiotics and corticosteroids should be considered a high-risk group for developing OPC, and prophylactic measures are recommended to be included in the treatment protocols. In addition, due to the increased rate of fluconazole resistance, other new antifungals should be considered.

Correction: Clinical characteristics of Egyptian male patients with COVID-19 acute respiratory distress syndrome.

[This corrects the article DOI: 10.1371/journal.pone.0249346.].

Predictors for Severity of SARS-CoV-2 Infection Among Healthcare Workers.

BACKGROUND: Healthcare workers (HCWs) are still at higher risk of acquiring severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections than the general population. Identifying risk factors associated with severe SARS-CoV-2 infections is of paramount importance to protect HCWs and the non-infected patients attending different healthcare facilities. PURPOSE: To recognize the predictors for severity of SARS-CoV2 infection among HCWs working in either COVID-19 or non-COVID-19 healthcare settings. Also, to assess compliance of HCW to standard precautions of infection control and explore the possible risk factors for SARS-CoV-2 infection among HCWs. METHODS: A cross-sectional study was conducted among HCWs with suspected or confirmed SARS-CoV-2 infection, from different Egyptian governorates. They were asked to fill in a web-based self-reporting questionnaire. The questionnaire assessed the demographic and socio-economic characteristics of participants, compliance of HCWs to standard precautions of infection control and COVID-19 presentation. RESULTS: Our study enrolled 204 HCWs (52.3% physicians). Infection of SARS-CoV-2 was confirmed in 61.3% by RT- PCR; 35.8% were admitted to hospital, and of these, 3.9% were admitted to the intensive care unit. While 30.4% had mild disease, 48.5% had moderate disease, 17.2% had severe disease and 3.9% had critical disease. Regression analysis for variables predicting COVID-19 severity among study healthcare workers showed that associated chronic diseases and management at home were the main independent variables predicting severity of their SARS-COV-2 infection, while the variables age, sex, residence, occupation or drug history of immunosuppressives had no role in severity prediction. CONCLUSION: Associated chronic diseases and management at home were the main independent variables predicting severity of SARS-COV-2 infection among HCWs. So, HCWs with chronic diseases should not work in COVID-19 designated hospitals, and there should be a screening strategy for their infection with SARS-COV-2. HCWs must not be negligent in adhering to strict precautions of infection control. HCWs infected with SARS-COV-2 must be managed in hospital not at home.

Clinical characteristics of Egyptian male patients with COVID-19 acute respiratory distress syndrome.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is a serious illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and in severe cases associated with acute respiratory distress syndrome (ARDS). OBJECTIVE: To describe the clinical characteristics of patients with ARDS-COVID-19. MATERIALS AND METHODS: This study involved 197 male Egyptian participants, among them111 COVID-19 patients presented with ARDS, 60 COVID-19 patients presented with non-ARDS, and 26 Non-COVID-19 patients. We reported the analysis results of clinical and laboratory information, including blood routine tests, blood biochemistry parameters [aspartate aminotransferase (AST), alanine aminotransferase (ALT), creatinine and C-reactive protein (CRP)], thrombotic activity (D-dimer) and serum ferritin and lactate dehydrogenase (LDH). RESULTS: The levels of hemoglobin, AST, creatinine, monocyte count, monocyte %, RBC count, TLC, and platelet count were not significantly different among the groups. The lymphopenia and increased CRP, ALT, D-dimer, ferritin, and LDH were observed in patients with ARDS-COVID-19. CONCLUSION: COVID-19 patients with ARDS presented with lymphopenia, increased thrombotic activity, increased CRP, LDH, and ferritin levels. The results revealed that CRP, D-dimer, LDH levels, and lymphopenia have a significant association with the COVID-19 severity and can be used as biomarkers to predict the disease severity.