Renal function changes in chronic hepatitis B patients
The best way to treat chronic hepatitis B is with pegylated interferon alone or with oral antiviral drugs. There is limited research comparing the renal safety of entecavir and tenofovir when used with pegylated interferon. This study will compare changes in renal function in chronic hepatitis B patients treated with pegylated interferon and either entecavir or tenofovir. The study included a cohort of 836 patients with chronic hepatitis B (CHB) who received treatment with pegylated interferon (IFN) either alone or in combination with entecavir (ETV) and tenofovir (TDF) between the years 2018 and 2021. Of these patients, 713 were included in a matched analysis comparing outcomes between those who were cured and those who were uncured, while 123 patients received IFN alone as a control group for comparison with the ETV and TDF treatment groups. The primary outcome measured was the change in renal function, specifically estimated glomerular filtration rate (eGFR), cystatin C (CysC), and inorganic phosphorus (IPHOS). Patients were categorized into stage 1 or stage 2 based on a baseline eGFR of less than 90 ml/min/m^2 Results: 125 CHB patients were matched 1:1 in both the combined treatment and cured groups. Baseline eGFR, CysC, and IPHOS levels were similar between the groups. Renal function in stage 1 and stage 2 groups showed a decreasing trend at 48 weeks after an initial increase.Correlation analysis showed significant relationships between changes in ALT and eGFR values at 12 weeks in both non-cured and cured groups. Conclusions: Over the 48-week duration of combined treatment in patients with chronic hepatitis B (CHB), it was found that both Tenofovir Disoproxil Fumarate (TDF) and Entecavir (ETV) did not lead to an increase in renal injury.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Machine learning for dynamically predicting the onset of renal replacement therapy in chronic kidney disease patients using claims data
Chronic kidney disease (CKD) represents a slowly progressive disorder that can eventually require renal replacement therapy (RRT) including dialysis or renal transplantation. Early identification of patients who will req…
SpecificitySparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients
Chronic kidney disease (CKD) is a gradual loss of renal function over time, and it increases the risk of mortality, decreased quality of life, as well as serious complications. The prevalence of CKD has been increasing i…
Effect of Clinical History on Predictive Model Performance for Renal Complications of Diabetes
Diabetes is a chronic disease characterised by a high risk of developing diabetic nephropathy, which, in turn, is the leading cause of end-stage chronic kidney disease. The early identification of individuals at heighten…
Feature ImportanceExplainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients
Hepatitis C is a liver infection caused by a virus, which results in mild to severe inflammation of the liver. Over many years, hepatitis C gradually damages the liver, often leading to permanent scarring, known as cirrh…
Deep Learning-Based Quantitative Assessment of Renal Chronicity Indices in Lupus Nephritis
Background: Renal chronicity indices (CI) have been identified as strong predictors of long-term outcomes in lupus nephritis (LN) patients. However, assessment by pathologists is hindered by challenges such as substantia…