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Objectives: To validate and recalibrate the CURB-65 and pneumonia severity index (PSI) in predicting 30-day mortality and critical care intervention (CCI) in a multiethnic population with COVID-19, along with evaluating both models in predicting CCI. Methods: Retrospective data was collected for 1181 patients admitted to the largest hospital in Qatar with COVID-19 pneumonia. The area under the curve (AUC), calibration curves, and other metrics were bootstrapped to examine the performance of the models. Variables constituting the CURB-65 and PSI scores underwent further analysis using the Least Absolute Shrinkage and Selection Operator (LASSO) along with logistic regression to develop a model predicting CCI. Complex machine learning models were built for comparative analysis. Results: The PSI performed better than CURB-65 in predicting 30-day mortality (AUC 0.83, 0.78 respectively), while CURB-65 outperformed PSI in predicting CCI (AUC 0.78, 0.70 respectively). The modified PSI/CURB-65 model (respiratory rate, oxygen saturation, hematocrit, age, sodium, and glucose) predicting CCI had excellent accuracy (AUC 0.823) and good calibration. Conclusions: Our study recalibrated, externally validated the PSI and CURB-65 for predicting 30-day mortality and CCI, and developed a model for predicting CCI. Our tool can potentially guide clinicians in Qatar to stratify patients with COVID-19 pneumonia.

Background: Postmenopausal bleeding (PMB) is one of the most common reasons for referral to gynecology services. This is due to the concern of possible underlying malignancy, as approximately 10% of women with PMB will have endometrial carcinoma. Objective: Early diagnosis of endometrial changes in women with postmenopausal bleeding and thickened endometrium. Patients and Methods: A cross sectional study was conducted at Obstetrics and Gynecology Department, from December 2018 to January 2020 at Zagazig University Hospitals. The study included 56 women with post-menopausal bleeding and thickened endometrium (> 4 mm). They underwent vaginal sonography for endometrial thickness and ovarian volume measurement; endometrial sampling was done for definitive histologic diagnosis. Results: There was statistically significant difference between normal, over weight and obese females as regards mean ovarian volume and endometrial thickness (p = 0.001and p = 0.01) respectively. Where, over weight and obese females had large mean ovarian volume (median = 1.80 and 2.350) respectively and larger endometrial thickness (median = 9.0 and 14.0) respectively compared to normal ones. We found that 51% of studied females were having hyperplasic lesions followed by 37.3% of them were having benign lesions then 11.8% of them were having malignant lesions. Conclusions: That enlarged ovaries in women with postmenopausal bleeding and thickened endometrium are associated with endometrial adenocarcinoma risk. Whereas obesity represents a marker of risk for that endometrial change.

Medico-legal practitioners are often confronted with dismembered remains from which they need to develop a biological profile to establish identity. Accurate estimation of stature is an initial, crucial component of any meaningful medico-legal evaluation. However, sometimes only cephalo-facial remains are available. The most accurate statistical estimations of biological attributes are based on population-specific standards. Therefore, this study assessed the ability to estimate stature using 15 cephalo-facial measurements in 240 Sudanese adults (120 men, 120 women) aged 18-25years. Stature and cephalo-facial measurements of men were significantly higher than those of women. Most of the measurements were significantly correlated with stature (p