Data mining of routine laboratory tests can predict liver disease progression in Egyptian diabetic patients with hepatitis C virus (G4) infection: a cohort study of 71 806 patients
| Autor: | Yasmin Saad, Wahid Doss, Abobakr Awad, Mahasen Mabrouk, Wafaa Alakel, Tahany Awad |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Adult Liver Cirrhosis Male Hepatitis C virus Comorbidity computer.software_genre medicine.disease_cause Body Mass Index 03 medical and health sciences Liver disease 0302 clinical medicine Fibrosis Risk Factors Diabetes mellitus medicine Diabetes Mellitus Data Mining Humans Serum Albumin Retrospective Studies Hepatology business.industry Clinical Laboratory Techniques Platelet Count Decision Trees Gastroenterology Age Factors Retrospective cohort study Hepatitis C Hepatitis C Chronic Middle Aged medicine.disease digestive system diseases 030104 developmental biology Disease Progression 030211 gastroenterology & hepatology Egypt Female Data mining alpha-Fetoproteins business Hepatic fibrosis Viral hepatitis computer Algorithms |
| Zdroj: | European journal of gastroenterologyhepatology. 30(2) |
| ISSN: | 1473-5687 |
| Popis: | Objectives Hepatitis C virus (HCV) and diabetes mellitus (DM) are prevalent diseases worldwide, associated with significant morbidity, mortality, and mutual association. The aims of this study were as follows: (i) find the prevalence of DM among 71 806 Egyptian patients with chronic HCV infection and its effect on liver disease progression and (ii) using data mining of routine tests to predict hepatic fibrosis in diabetic patients with HCV infection. Patients and methods A retrospective multicentered study included laboratory and histopathological data of 71 806 patients with HCV infection collected by Egyptian National Committee for control of viral hepatitis. Using data mining analysis, we constructed decision tree algorithm to assess predictors of fibrosis progression in diabetic patients with HCV. Results Overall, 12 018 (16.8%) patients were diagnosed as having diabetes [6428: fasting blood glucose ≥126 mg/dl (9%) and 5590: fasting blood glucose ≥110-126 mg/dl (7.8%)]. DM was significantly associated with advanced age, high BMI and α-fetoprotein (AFP), and low platelets and serum albumin (P≤0.001). Advanced liver fibrosis (F3-F4) was significantly correlated with DM (P≤0.001) irrespective of age. Of 16 attributes, decision tree model for fibrosis showed AFP was most decisive with cutoff of 5.25 ng/ml as starting point of fibrosis. AFP level greater than cutoff in patients was the first important splitting attribute; age and platelet count were second important splitting attributes. Conclusion (i) Chronic HCV is significantly associated with DM (16.8%). (ii) Advanced age, high BMI and AFP, low platelets count and albumin show significant association with DM in HCV. (iii) AFP cutoff of 5.25 is a starting point of fibrosis development and integrated into mathematical model to predict development of liver fibrosis in diabetics with HCV (G4) infection. |
| Databáze: | OpenAIRE |
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