Evaluation of hepatic and kidney dysfunction among newly diagnosed HIV patients with viral hepatitis infection in Cape Coast, Ghana

Anabire, Nsoh Godwin; Tetteh, William Jackson; Obiri-Yaboah, Dorcas; Annan, Isaac; Luuse, Arnold Togiwe; Aryee, Paul Armah; Helegbe, Gideon Kofi; Hagan, Charles Oheneba; Eliason, Sabastian

doi:10.1186/s13104-019-4513-8

Cited by 4 publications

(1 citation statement)

References 35 publications

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“…CR can be used to assess kidney function [ 39 ]. The study based on 90 newly diagnosed HIV patients with viral hepatitis infection in Cape Coast Teaching Hospital HIV clinic showed that severe kidney malfunction (chronic kidney disease stage 4, with eGFR < 15 mL/min/1.73 m 2 ) was only and nearly significant in those with HIV1/HBV [ 31 ].…”

Section: Discussionmentioning

confidence: 99%

A Noninvasive Prediction Model for Hepatitis B Virus Disease in Patients with HIV: Based on the Population of Jiangsu, China

Yin

Xue

Shi

et al. 2021

BioMed Research International

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Objective. To establish a machine learning model for identifying patients coinfected with hepatitis B virus (HBV) and human immunodeficiency virus (HIV) through two sexual transmission routes in Jiangsu, China. Methods. A total of 14197 HIV cases transmitted by homosexual and heterosexual routes were recruited. After data processing, 12469 cases (HIV and HBV, 1033; HIV, 11436) were left for further analysis, including 7849 cases with homosexual transmission and 4620 cases with heterosexual transmission. Univariate logistic regression was used to select variables with significant P value and odds ratio for multivariable analysis. In homosexual transmission and heterosexual transmission groups, 10 and 6 variables were selected, respectively. For identifying HIV individuals coinfected with HBV, a machine learning model was constructed with four algorithms, including Decision Tree, Random Forest, AdaBoost with decision tree (AdaBoost), and extreme gradient boosting decision tree (XGBoost). The detective value of each variable was calculated using the optimal machine learning algorithm. Results. AdaBoost algorithm showed the highest efficiency in both transmission groups (homosexual transmission group: accuracy = 0.928 , precision = 0.915 , recall = 0.944 , F − 1 = 0.930 , and AUC = 0.96 ; heterosexual transmission group: accuracy = 0.892 , precision = 0.881 , recall = 0.905 , F − 1 = 0.893 , and AUC = 0.98 ). Calculated by AdaBoost algorithm, the detective value of PLA was the highest in homosexual transmission group, followed by CR, AST, HB, ALT, TBIL, leucocyte, age, marital status, and treatment condition; in the heterosexual transmission group, the detective value of PLA was the highest (consistent with the condition in the homosexual group), followed by ALT, AST, TBIL, leucocyte, and symptom severity. Conclusions. The univariate logistics regression combined with the AdaBoost algorithm could accurately screen the risk factors of HBV in HIV coinfection without invasive testing. Further studies are needed to evaluate the utility and feasibility of this model in various settings.

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Section: Discussionmentioning

confidence: 99%

A Noninvasive Prediction Model for Hepatitis B Virus Disease in Patients with HIV: Based on the Population of Jiangsu, China

Yin

Xue

Shi

et al. 2021

BioMed Research International

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Renal outcomes in adults with HBV, HIV and HBV/HIV coinfection after 3 years of antiviral therapy in urban Tanzania

Wu,

Christian,

Rivera

et al. 2023

Journal of Antimicrobial Chemotherapy

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Background An enhanced understanding of renal outcomes in persons with chronic HBV, HIV, and HBV/HIV coinfection is needed to mitigate chronic kidney disease in regions where HBV and HIV are endemic. Objectives To investigate changes in estimated glomerular filtration rate (eGFR) in adults with HBV, HIV or HBV/HIV enrolled in a 3 year prospective cohort study of liver outcomes in Dar es Salaam, Tanzania and initiated on antiviral therapy. Methods We compared eGFR between and within groups over time using mixed-effects models. Results Four hundred and ninety-nine participants were included in the analysis (HBV: 164; HIV: 271; HBV/HIV: 64). Mean baseline eGFRs were 106.88, 106.03 and 107.18 mL/min/1.73 m2, respectively. From baseline to Year 3, mean eGFR declined by 4.3 mL/min/1.73 m2 (95% CI −9.3 to 0.7) and 3.7 (−7.8 to 0.5) in participants with HBV and HIV, respectively, and increased by 5.1 (−4.7 to 14.9) in those with HBV/HIV. In multivariable models, participants with HBV had lower eGFRs compared with those with HIV or HBV/HIV and, after adjusting for HBV DNA level and hepatitis B e antigen (HBeAg) status, significantly lower eGFRs than those with HBV/HIV at all follow-up visits. Conclusions In this Tanzanian cohort, coinfection with HBV/HIV did not appear to exacerbate renal dysfunction compared with those with either infection alone. Although overall changes in eGFR were small, persons with HBV experienced lower eGFRs throughout follow-up despite their younger age and similar baseline values. Longer-term studies are needed to evaluate continuing changes in eGFR and contributions from infection duration and other comorbidities.

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Prevalence of liver cirrhosis in individuals with hepatitis B virus infection in sub‐Saharan Africa: Systematic review and meta‐analysis

Surial

Wyser

Béguelin

et al. 2020

Liver International

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Background & Aims Chronic hepatitis B virus (HBV) infection accounts for 30%‐50% of cirrhosis related deaths in sub‐Saharan Africa (SSA). Since HBV‐related cirrhosis is an indication for immediate antiviral therapy and cancer surveillance, we aimed to estimate the prevalence of cirrhosis among treatment‐naïve patients with chronic HBV infection in SSA. Methods We performed a systematic review of published articles which evaluated liver fibrosis stage among treatment‐naïve HBV‐infected individuals who presented to care in SSA. Our primary outcome was the prevalence of cirrhosis in HBsAg‐positive persons, which was estimated using random‐effects meta‐analysis. Risk factors for cirrhosis were explored using subgroup‐analyses and multivariable meta‐regression. Results Of 2129 articles identified, 17 met our eligibility criteria. The studies described 22 cohorts from 13 countries, including 13 cohorts (3204 patients) with chronic HBV mono‐infection and nine cohorts (688 patients) with HIV/HBV‐coinfection. Liver fibrosis was assessed using transient elastography (10 cohorts), APRI score (11 cohorts), and Fibrotest (one cohort). The pooled prevalence of cirrhosis was 4.1% (95% confidence interval [CI] 2.6‐6.4) among studies from primary care facilities or general population, compared to 12.7% (95% CI 8.6‐18.3) in studies performed in referral or tertiary care facilities (adjusted odds ratio 0.29, 95% CI 0.15‐0.56). We found no association between cirrhosis and age, gender, fibrosis test used or HIV‐coinfection. Conclusions Depending on the setting, between 4% and 13% of HBV‐infected individuals in SSA have cirrhosis and need immediate antiviral therapy. These estimates should be considered when planning HBV treatment strategies and resource allocation.

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Evaluation of hepatic and kidney dysfunction among newly diagnosed HIV patients with viral hepatitis infection in Cape Coast, Ghana

Cited by 4 publications

References 35 publications

A Noninvasive Prediction Model for Hepatitis B Virus Disease in Patients with HIV: Based on the Population of Jiangsu, China

A Noninvasive Prediction Model for Hepatitis B Virus Disease in Patients with HIV: Based on the Population of Jiangsu, China

Renal outcomes in adults with HBV, HIV and HBV/HIV coinfection after 3 years of antiviral therapy in urban Tanzania

Prevalence of liver cirrhosis in individuals with hepatitis B virus infection in sub‐Saharan Africa: Systematic review and meta‐analysis

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