Online ISSN: 2515-8260

Keywords : RT-PCR

Estimate Viral RNA Of Hepatitis C Of Β-Thalassemia Patients In Nineveh Province

Ali Adel Dawood; Asmaa Mohammed Khaleel; Ahmed Mohammed Hayawi

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 1-8

Hepatitis C infection is the main occasional agent of chronic liver disease and might lead to cirrhosis and hepatocellular carcinoma. β-thalassemia and hemodialysis patients are most susceptible to HCV as a result of the continuous blood transfusion. Aim of the study: This study aimed to estimate the quantitative of HCV-RNA in the serum of β- thalassemia patients in Nineveh province using RT-PCR in the GeneXpert system. Methods: We detected anti-HCV using ELISA. Determine the viral RNA using Xpert® HCV viral load technique. Result: The positive detection result of anti-HCV is 48 out of a total of 752 thalassemia patients. Only 12 out of 48 enrolled HCV Ct value with a rate of 1.59% of the total β- thalassemia patients. Conclusions: The prevalence of HCV in thalassemic patients in Nineveh province is less than those found in the other Iraqi provinces or adjacent countries. The routine using of immunobiological and biochemical tests for hepatic enzymes should be the routine pursuit in thalassemia and dialysis clinical centers.

Automatic Classification of the Severity of COVID-19 Patients Based on CT Scans and X-rays Using Deep Learning

Sara Bhatti; Dr. Asif Aziz; Dr. Naila Nadeem; Irfan Usmani; Prof. Dr. Muhammad Aamir; Dr. Irum Khan

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 1436-1455

The 2019 novel coronavirus (COVID-19), which originated from China, has been declared a pandemic by the World Health Organization (WHO) as it has surpassed over eighty three million cases worldwide, with nearly two million deaths. The unexpected exponential increase in positive cases and the limited number of ventilators, personal safety equipment and COVID-19 test kits, especially in Low to Middle Income Countries (LMIC), had put undue pressure on medical staff, first responders as well as the overall health care systems. The Real-Time Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) test is the decisive test for the diagnosis of COVID-19, but a significant percentage of positive tests return a false negative result. For patients in LMICs, the availability and affordability of routine Computerized Tomography (CT) scanning and chest X-rays is better compared to an RT-PCR test, especially in rural areas. Chest X-rays and CT scans can aid in the prognosis and management of COVID-19 positive patients, but are not recommended for diagnostic purposes. Using Deep Convolutional Neural Networks (CNN), three network based pre-trained models (AlexNet, GoogleNet and Resnet50) were used for the automatic classification of positive COVID-19 chest X-Rays and CT scans based on their severity into three classes- normal, mild/moderate, severe. This classification can aid health care workers in performing expeditious analysis of large numbers of thoracic CT scans and chest X-rays of COVID-19 positive patients, and aid in their prognosis and management. The images were obtained from public repositories, and were verified and classified by trained and highly experienced radiologist from Agha Khan University Hospital prior to simulations. The images were augmented and trained, and ResNet50 was concluded to achieve the highest accuracy. This research can be used for other lung infections, and can aid the authorities in the preparations of future pandemics.

Genotype Variants Of Dengue Virus On Dengue Hemorrhagic Fever (Dhf) Suspect: Cross Sectional Study In Health Facilities In Semarang City, Indonesia

Martini Martini; Syahilla Efriana; Rini Fajarini; Ari Udiyono; Retno Hestiningsih; Atik Mawarni; Indranila Kustarini

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 8, Pages 730-740

Semarang has been reported as an endemic area of dengue hemorrhagic fever (DHF), yet continuous data of molecular epidemiology related to dengue fever is not available. The aim of this study was to analyze the characteristics of virus strains, host suspected dengue, and the dynamics of dengue fever in Semarang City. The design of this study was observational description with cross-sectional design. Seventy three DHF suspected patients from two hospitals and seven health centers in Semarang City were sampled during 2017- 2018. Reverse Transcription Polymerase Chain Reaction (RT-PCR) method was used to examine serum suspected dengue and sequence serotypes and genotypes of dengue virus. The results showed that the highest frequency to be exposed by DHF was infant and children; while, the number of male and female with suspected dengue was relatively the same. The dominant serotype was DENV-3, DENV-1, and mix of DENV-2 and DENV-3; while, the circulation of DENV-1 genotype I and DENV-3 genotype I were identified as Indonesian local endemic strain causing epidemics in Indonesia.