HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Severity of Non-B and Non-C Hepatitis Versus Hepatitis B and C Associated Chronic Liver Disease: A Retrospective, Observational, Comparative Study.

Abstract
Background and objectives Chronic liver disease (CLD) encompasses a variety of etiologies, and the infectious causes are mainly hepatitis B and hepatitis C virus. Chronic alcohol abuse and non-alcoholic fatty liver disease also have a major contribution to CLD. The Child-Pugh scoring system indicates the probable prognosis and mortality risk of a patient with cirrhosis. The primary objective of this research is to observe the mortality risks of CLD caused by a variety of etiologies mentioned above. The secondary objective is to determine the biochemical markers that are correlating with the severity of the study groups. Another aim was to determine the Model for End-Stage Liver Disease (MELD) scoring of each study group predicting the severity of disease among the Child-Pugh classification. Materials and methods We broadly classified the etiologies into two study groups: (1) hepatitis B, C associated CLD (hepatitis B, C--CLD) and (2) non-hepatitis B, C associated CLD (non-hepatitis B, C-CLD). This study was conducted as a descriptive, retrospective study involving patients admitted to the Gastroenterology Department at Dow University Hospital between July 2019 and December 2019. All patients who met the inclusion criteria were included in the study in order to document their levels of severity markers of CLD. A total of 167 individuals met the inclusion criteria, and the sampling was done through non-probability consecutive methods. All continuous variables were described as mean and standard deviations, which were then compared using an independent sample t-test. The comparison of categorical data was done either using the chi-square test or Fisher's exact test accordingly. A p-value of <0.05 was considered statistically significant (two-tailed). Results The mean age of the study population was 51.83 ± 13.67, with no difference in gender and type of CLD. The frequent co-morbidities (other than CLD) found in the study population were diabetes, hypertension, ischemic heart disease, and chronic kidney disease, with most of them having significant association with non-hepatitis B, C-CLD. Both types of CLD had equal gender proportion (p=0.708). Among the study groups, 56.28% (n=94) had hepatitis B, C-CLD, out of which 18 (19%) belonged to Child-Pugh class A, 36 (38%) to Child-Pugh class B, and 40 (43%) to Child-Pugh class C, whereas 43.72% (n=71) had non-hepatitis B, C-CLD, comprising of 13% (n=10) of Child-Pugh class A patients, 42% (n=31) of Child-Pugh class B patients, and 44% (n=32) of Child-Pugh class C patients (p=0.631). Bilirubin levels (p=0.055), serum creatinine (p=0.201), and International normalized ratio (INR) are found higher in non-hepatitis B, C-CLD (p=0.312), whereas thrombocytopenia was more likely to be associated with hepatitis B, C-CLD (p=0.205). Hyponatremia was slightly associated with non-hepatitis B, C-CLD (p=0.281). The mean MELD score was comparable among the two study groups in both Child-Pugh classes A and B, but in Child-Pugh class C it was significantly higher in non-hepatitis B, C-CLD patients as compared to hepatitis B, C--CLD (p=0.006). Conclusion Non-hepatitis B, C-CLD was proved to be milder in Child-Pugh class A as compared to hepatitis B, C-CLD, but its mortality risk increases with severity, as mean MELD score was found significantly higher in Child-Pugh class C. Our research was able to identify severe biochemical markers in both types of CLD.
AuthorsMuhammad Sohaib Asghar, Muhammad Nadeem Ahsan, Uzma Rasheed, Maira Hassan, Rumael Jawed, Marium B Abbas, Rabail Yaseen, Syed Anosh Ali Naqvi, Hera Rizvi, Mashaal Syed
JournalCureus (Cureus) Vol. 12 Issue 12 Pg. e12294 (Dec 26 2020) ISSN: 2168-8184 [Print] United States
PMID33520498 (Publication Type: Journal Article)
CopyrightCopyright © 2020, Asghar et al.

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: