Objective(s): To measure serum C-reactive protein (CRP) titer as a predictive diagnosis of acute hepatitis C virus (HCV)
infection.
Methodology: Two hundred and ten patients with acute HCV infection and 234 apparently healthy individuals as
control group were enrolled in this study in Baghdad medical city (Teaching Laboratories). The patents include
74(35.2%) females and 136 (64.8%) males with mean age (27±16.5) years. The control group includes 114 (48.7%)
females and 120 (51.3%) males with mean age (26±5.8) years. Blood samples were collected from out patients from
Alfadul in Baghdad city. Sera were separated and stored at 20 0
C. The diagnosis of acute HCV infection was based on
detection of HC Ag and anti- HCV IgM and standard liver function tests. Determination of CRP titer was assessed by
semi-quantitative tube agglutination test. All data were statistically analyzed.
Results: Based on 95% percentile, the baseline CRP titer in healthy individuals was 1:8 (16mg/l) and for patients 1:512
(1024mg/l). There was a statistically significant increase in the mean CRP titer in patients with acute HCV infection
compared to healthy individuals (P< 0.001) .The validly of CRP titer 1: 64 as a cut –off value to predict HCV infection
provide a sensitivity and specificity of 100 % and 96% respectively. Furthermore, there was a significant correlation
between CRP titer and liver function test values.
Recommendation:
Therefore, in further studies, we recommends the evaluation of C- reactive protein titer in patients with acute
hepatitis B Virus infection and patients with non–infectious diseases such as cardiovascular disease, diabetes mellitus
and hyperlipidemia infection, and compare between them.
Some new norms need to be adapted due to COVID-19 pandemic period where people need to wear masks, wash their hands frequently, maintain social distancing, and avoid going out unless necessary. Therefore, educational institutions were closed to minimize the spread of COVID-19. As a result of this, online education was adapted to substitute face-to-face learning. Therefore, this study aimed to assess the Malaysian university students’ adaptation to the new norms, knowledge and practices toward COVID-19, besides, their attitudes toward online learning. A convenient sampling technique was used to recruit 500 Malaysian university students from January to February 2021 through social media. For data collection, all students
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