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1.
The Egyptian Journal of Radiology and Nuclear Medicine ; 52(1):200, 2021.
Article in English | ProQuest Central | ID: covidwho-2278682

ABSTRACT

BackgroundCT chest severity score (CTSS) is a semi-quantitative measure done to correlate the severity of the pulmonary involvement on the CT with the severity of the disease.The objectives of this study are to describe chest CT criteria and CTSS of the COVID-19 infection in pediatric oncology patients, to find a cut-off value of CTSS that can differentiate mild COVID-19 cases that can be managed at home and moderate to severe cases that need hospital care.A retrospective cohort study was conducted on 64 pediatric oncology patients with confirmed COVID-19 infection between 1 April and 30 November 2020. They were classified clinically into mild, moderate, and severe groups. CT findings were evaluated for lung involvement and CTSS was calculated and range from 0 (clear lung) to 20 (all lung lobes were affected).ResultsOverall, 89% of patients had hematological malignancies and 92% were under active oncology treatment. The main CT findings were ground-glass opacity (70%) and consolidation patches (62.5%). In total, 85% of patients had bilateral lung involvement, ROC curve showed that the area under the curve of CTSS for diagnosing severe type was 0.842 (95% CI 0.737–0.948). The CTSS cut-off of 6.5 had 90.9% sensitivity and 69% specificity, with 41.7% positive predictive value (PPV) and 96.9% negative predictive value (NPV). According to the Kaplan–Meier analysis, mortality risk was higher in patients with CT score > 7 than in those with CTSS < 7.ConclusionPediatric oncology patients, especially those with hematological malignancies, are more vulnerable to COVID-19 infection. Chest CT severity score > 6.5 (about 35% lung involvement) can be used as a predictor of the need for hospitalization.

2.
Clin Anat ; 35(1): 87-93, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1449917

ABSTRACT

During the COVID-19 pandemic, many educational institutions followed the blended learning system. Using the participants' opinions, we evaluated the Blackboard (Bb) collaborate platform for online team-based learning (TBL) sessions for undergraduate students from different medical programs in the KSA. The participants were students on the MBBS Program (157 year two and 149 year three), together with 53 students in year one of the Nursing Program, 25 in year two of the Doctor of Pharmacy Program, and 11 in year two of the Medical Laboratory Sciences Program in Fakeeh College for Medical Sciences, (FCMS) KSA. To assess students' recall, engagement, and satisfaction with the sessions, an online TBL plan was designed and reviewed by the Medical Education Department. The students completed an online survey at the end of each session. All responses in this study showed a statistically significant positive difference from the neutral mid-point response (p < 0.05), reflecting high satisfaction. In the MBBS Program, the survey was completed by 40 students in year two and 76 in year three. The mean responses were 4.1 ± 0.3 and 3.9 ± 0.2 respectively (mean ± SD). In the BSN Program, 19 students completed the survey. The mean response was 4.6 ± 0.2. In the Pharm D Program, 10 students completed the survey. The mean response was 4.9 ± 0.12. In the MLS Program, eight students completed the survey. The mean response was 4.8 ± 0.12. It was concluded that online TBL using Bb collaborate is a successful anatomy-learning tool among FCMS students on different programs.


Subject(s)
COVID-19 , Students, Medical , Educational Measurement , Humans , Pandemics , SARS-CoV-2
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