Incidence of HCV induced—Esophageal varices in Egypt

Autor: Salama Khaled, Mohammad M. Sallam, Elsayed A. Elgohary, Mohammed Tag-Adeen, Baha Hawary, Abdallah Nawara, Mahmoud Fouad, Mahmoud Abdel-Aty, Ali Ismael
Rok vydání: 2017
Předmět:
Liver Cirrhosis
Male
Cirrhosis
Hepacivirus
computer.software_genre
Polymerase Chain Reaction
Severity of Illness Index
Gastroenterology
Liver disease
0302 clinical medicine
Esophageal varices
esophageal varices
Data Mining
education.field_of_study
Incidence
Incidence (epidemiology)
General Medicine
Middle Aged
Treatment Outcome
030220 oncology & carcinogenesis
Egypt
Female
030211 gastroenterology & hepatology
Data mining
medicine.symptom
Research Article
Adult
medicine.medical_specialty
Adolescent
Population
Observational Study
Enzyme-Linked Immunosorbent Assay
Esophageal and Gastric Varices
Young Adult
03 medical and health sciences
Melena
Internal medicine
decision tree
medicine
Humans
education
Ligation
business.industry
cirrhosis
Hepatitis C
Chronic
medicine.disease
Comorbidity
business
computer
Zdroj: Medicine
ISSN: 0025-7974
Popis: Esophageal varices is one of the most important comorbidity related liver cirrhosis, patients usually presented with hematemesis, melena, or both, ultimately 20% is the mortality during the first attack, hence we aimed to investigate the incidence of such esophageal varices related chronic Hepatitis C virus (HCV) in randomized Egyptian population. One thousand eighteen Egyptian patients, aged between 17 and 58 years, positive for Hepatitis C virus genotype 4 (HCV-4) by enzyme linked immunosorbent assay Ab and HCV RNA-polymerase chain reaction were screened for the presence of esophageal varices. Incidence of esophageal varices was 62.3%; 635 patients, those with large Esophageal varices (LEVs) was 47.4%; 301 patients. Model for end-stage liver disease (MELD) score has not been significantly improved post variceal band ligation (VBL). Using 2D U/S was useful for EVs prediction. Incidence of esophageal varices in HCV Egyptian patients still high, valuable knowledge would be helpful in clinical field have been discovered by data mining computational intelligent analysis using in practical medicine to improve overall health care.
Databáze: OpenAIRE
Externí odkaz: