| Literature DB >> 31275583 |
Hamza Waqar Bhatti1, Umama Tahir1, Noman Ahmed Chaudhary1, Sania Bhatti1, Muhammad Hafeez2, Zuhair Ali Rizvi1.
Abstract
OBJECTIVES: To assess factors associated with renal dysfunction (RD) in hepatitis C virus (HCV) cirrhosis, correlate renal parameters with Child-Pugh score (CPS) and find a cut-off value of CPS to determine RD.Entities:
Keywords: hepatitis C; hepatorenal syndrome; liver cirrhosis
Year: 2019 PMID: 31275583 PMCID: PMC6577365 DOI: 10.1136/bmjgast-2019-000286
Source DB: PubMed Journal: BMJ Open Gastroenterol ISSN: 2054-4774
Demographic details (n=70)
| Variable | N=70 |
| Gender* | |
| Male | 56 (80%) |
| Female | 14 (20%) |
| Renal dysfunction* | |
| Yes | 30 (43%) |
| No | 40 (57%) |
| Ascites* | |
| Yes | 40 (57%) |
| No | 30 (43%) |
| Child-Pugh score* | |
| A | 18 (26%) |
| B and C | 52 (74%) |
| Hepatic encephalopathy* | |
| Yes | 30 (43%) |
| No | 40 (57%) |
| Age, years† | 55 (IQR=15) |
*Categorical variable: n%.
†Numerical data, asymmetric distribution, median (IQR).
Distribution of grades of hepatic encephalopathy in patients with HCV-induced liver cirrhosis (n=30)
| Grades of hepatic encephalopathy | N (%) |
| Grade 1 | 4 (13.33%) |
| Grade 2 | 14 (46.67%) |
| Grade 3 | 12 (40%) |
| Grade 4 | 0 (0%) |
| Total | 30 (100%) |
HCV, hepatitis C virus.
Factors associated with renal dysfunction
| Variables | Renal dysfunction | Total | P value | OR | ||
| Gender | Male | 24 | 32 | 56 | 1.000 | 1.00 |
| Female | 6 | 8 | 14 | |||
| Ascites | Yes | 12 | 28 | 40 | <0.000* | 32.6 |
| No | 18 | 12 | 30 | |||
| Hepatic encephalopathy | Yes | 18 | 12 | 30 | 0.012* | 3.5 |
| No | 12 | 28 | 40 | |||
| Child-Pugh score | A | 0 | 18 | 18 | <0.000* | |
| B and C | 30 | 22 | 52 | |||
* p<0.05 was considered statistically significant
Comparison of quantitative variables according to renal dysfunction
| Variable | Renal dysfunction | P value | |
| Yes | No | ||
| Total bilirubin | 35.91 | 23.47 | 0.064 |
| Albumin | 3.2 | 3.3 | 0.180 |
| Urea | 13.7 | 3.9 | <0.000 |
| Creatinine | 150 | 93.5 | <0.000 |
| eGFR | 37 | 83.5 | <0.000 |
| Child-Pugh score | 10 | 7 | 0.001 |
| Age | 60 | 55 | 0.02 |
a. All variables are asymmetrically distributed; medians are reported and compared.
b. Significance is calculated by non-parametric Kruskal-Wallis test.
Correlation of eGFR and creatinine levels with Child-Pugh score
| Variable | Correlation coefficient (r) | P value |
| eGFR | −0.359 |
|
| Creatinine | +0.757 |
|
eGFR, estimated glomerular filtration rate.
Figure 1Correlation between eGFR and Child-Pugh score. eGFR, estimated glomerular filtration rate.
Figure 2ROC for cut-off point for Child-Pugh score for renal dysfunction (AUC=0.730).