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The diagnostic performance of chest computed tomography scanning in the diagnosis of coronavirus disease 2019 compared to polymerase chain reaction: A retrospective study of 1240 cases from Tripoli University Hospital, Libya

OBJECTIVE: The increasing prevalence of suspected cases of coronavirus disease 2019 (COVID-19) presenting to emergency departments (EDs) requires a rapid and reliable triaging tool. The diagnostic performance of chest computed tomography (CT) has yet to be validated for triaging cases in the ED. We aimed to assess the diagnostic performance of chest CT compared to GeneXpert Xpress Xpert severe acute respiratory syndrome coronavirus 2 test in rapidly diagnosing COVID-19 among patients with respiratory symptoms presenting to the ED. MATERIALS AND METHODS: This was a retrospective, single-center study at Tripoli University Hospital including cases with respiratory symptoms who underwent chest CT as well as polymerase chain reaction (PCR) testing for suspected COVID-19 between May 18 and August 18, 2020. RESULTS: A total of 1240 cases were included, among whom 570 had radiologically evident COVID-19 on chest CT (46%). Five hundred and sixty-five cases had positive PCR results (45.6%), of whom 557 had radiologically evident COVID-19 on chest CT (97.7%). The calculated accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were 98%, 98.5%, 98%, 97.7%, and 98.8%, respectively, in relation to the PCR results. CONCLUSION: During the current pandemic, chest CT is a quick and reliable diagnostic tool for COVID-19 in the ED.
Nader Shalaka(11-2021)
Publisher's website

Prognostic indices for hospital mortality among Libyan diabetic patients

The pattern of diabetic deaths in the medical wards of Tripoli Medical Centre was retrospectively studied. During a three‐year period, 575 diabetic deaths occurred, accounting for 26.2% of all medical deaths. The mean age at death was 65.33±12.7 years. Cardiovascular disease (183 [31.8%]), cerebrovascular accidents (102 [17.7%]) and infection (83 [14.4%]) were the most common complications associated with diabetic deaths. Other causes were malignancy (10%), liver cirrhosis (5.6%), and acute diabetic complications (5%). Forty‐five (7.8%) deaths unaccountable for may be due to other unknown causes. Factors predictive of mortality, such as admission diagnosis of hyperosmolar non‐ketotic state, cerebrovascular disease, acute coronary syndromes or infection were associated with poor prognosis. Admission hyperglycaemia, old age, renal dysfunction and prior stroke were also associated with poor admission outcome. The excess mortality, mainly due to atherosclerotic complications, is potentially preventable through implementation of serious approaches to the management of cardiovascular risk factors. arabic 8 English 64
Hawa Juma El-Shareif(7-2010)
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Assessment of diabetes-related knowledge among nursing staff in a hospital setting

This study aimed to identify areas of deficient knowledge among hospital nurses regarding diabetes management; the ultimate goal was to improve the quality of care for people with diabetes who are admitted to hospital for other medical reasons. Diabetes-related knowledge was assessed in 116 nurses using a 66-item questionnaire; the mean total score was 48.5±15.1. Knowledge was highest for nurses working in paediatrics (62.0±5.5; P
Hawa Juma El-Shareif(7-2013)
Publisher's website