Towards better diagnostic tools for liver injury in low-income and middle-income countries

Microfluidic point-of-care testing device for multiplexed detection of liver function blood markers

In this work, we developed a novel microfluidic paper-based analytical device to quantify the blood markers of liver function from human fingertips and whole blood samples. The device can quickly acquire information for screening liver injury and supporting clinical decision-making by simultaneously performing quantitative tests for alanine aminotransferase, aspartate aminotransferase, and albumin. We evaluated the detection accuracy and the storage stability of the device using fingertip samples. The yielded results of our device correlated well with those from Mindray BS350s, even under the conditions of 35 °C and 90%RH. Thus, it offers an effective platform for clinical assessment of liver injury particularly in resource-limited areas.

Assessment of variceal bleeding in cirrhotic patients: accuracy of multi-detector computed tomography

Background

Esophageal variceal hemorrhage (EVH) has been shown to be a leading cause of mortality in patients with portal hypertension. Our purpose was to assess the utility of multi-detector computed tomography (MDCT) features in the assessment of esophageal varices (EVs) and esophageal variceal hemorrhage (EVH). This prospective study included 85 cirrhotic patients who underwent MDCT and Upper Gastrointestinal Tract (UGIT) endoscopy within 2 weeks. Four radiologists evaluated the presence of EVs and the presence and size of different collaterals. Multivariable logistic regression analysis was calculated to investigate the significant predictors influencing EV and EVH.

Results

Findings of EV with MDCT were the best predictor of EV or EVH. The presence (and/or size) of following collaterals had significant association with both EV and EVH: paraesophageal (p < 0.001, < 0.001), short gastric (p = 0.024, 0.010), gastric varicosities (p < 0.001, < 0.001), coronary (p < 0.001, < 0.001), and main coronary vein (MCV) (p < 0.001, = 0.011). We proposed an imaging-based model (presence of coronary collaterals, main coronary vein size > 3.5 mm, presence of short gastric collaterals, presence of gastric varicosities, size > 1.5 mm) with 97% sensitivity, 91% specificity, and 94% accuracy to predict EVs. We suggested another model (presence of paraesophageal collaterals, presence of short gastric vein (SGC), SGC size > 2.5 mm, main coronary vein size > 3.5 mm, gastric varicosities size > 1.5 mm, size of EVs > 4 mm, and Child C score) to predict EVH with 98% sensitivity, 81% specificity, and 89.5% accuracy. Inter-observer agreement was high in the detection of EVs (W. Kappa = 0.71–0.88).

Conclusion

MDCT is an effective modality in the diagnosis of EVs. At MDCT, the presence and/or size of various collaterals including para-esophageal, short gastric, coronary collaterals, and gastric varicosities are accurate predictors for either EVs existence or EVH. We suggested two computed tomography imaging-based models with high reproducibility and acceptable accuracy for the prediction of EV and EVH. With cirrhotic patients, we recommend that radiologists report collaterals in their daily practice.

Factors associated with high alanine aminotransferase (ALT) and cirrhosis in people living with HIV on combination antiretroviral treatment (cART) in the Asia-Pacific

Liver disease is a growing burden among people living with HIV (PLHIV) in resource-limited settings. As an indicator of liver disease, risk factors of high alanine aminotransferase (ALT) and cirrhosis were assessed among PLHIV in the TREAT Asia HIV Observational Database (TAHOD). Patients on combination antiretroviral therapy (cART) with a pre-cART ALT measurement and at least one follow-up ALT measurement were included. Factors associated with high ALT (ALT levels > 5 times its upper limit of normal) were analyzed using repeated measure logistic regression over a 10-year follow-up period. Liver cirrhosis was defined as having an AST to Platelet Ratio Index score > 1.5, fibrosis-4 score > 3.25, or a clinical diagnosis of cirrhosis. Cox regression analysis stratified by site was used to analyze factors associated with cirrhosis among those in follow-up after 2015. Of 5182 patients, 101 patients (1.9%) had high ALT levels with hepatitis C virus (HCV) antibody positive (odds ratio [OR]: 4.98, 95% confidence interval [CI]: 2.82-8.77, p < 0.001) and ever high alcohol consumption (OR: 2.33, 95% CI: 1.00-5.46, p = 0.050) as likely factors. Among 6318 PLHIV in the liver cirrhosis analysis, 151 (2%) developed cirrhosis (incidence rate = 0.82 per 100 person-years). Those HCV-antibody positive (hazard ratio [HR]: 5.54, 95% CI: 3.75-8.18, p < 0.001) and had high alcohol consumption (HR: 2.06, 95% CI: 1.23-3.45, p = 0.006) were associated with liver cirrhosis. HCV-antibody positive and high alcohol consumption are factors associated with high ALT. With raised ALT levels as a known factor associated with liver cirrhosis, greater efforts are required in managing ALT levels and reducing the risk of developing liver cirrhosis among those positive for HCV-antibody and those who consume alcohol.

Rapid Diagnostics for Hepatitis B and C Viruses in Low- and Middle-Income Countries

The global health challenge posed by hepatitis B virus (HBV) and hepatitis C virus (HCV) persists, especially in low-and-middle-income countries (LMICs), where underdiagnosis of these viral infections remains a barrier to the elimination target of 2030. HBV and HCV infections are responsible for most liver-related mortality worldwide. Infected individuals are often unaware of their condition and as a result, continue to transmit these viruses. Although conventional diagnostic tests exist, in LMIC they are largely inaccessible due to high costs or a lack of trained personnel, resulting in poor linkage to care and increased infections. Timely and accurate diagnosis is needed to achieve elimination of hepatitis B and C by the year 2030 as set out by the World Health Organization Global Health Sector Strategy. In this review rapid diagnostic tests allowing for quick and cost-effective screening and diagnosis of HBV and HCV, are discussed, as are their features, including suitability, reliability, and applicability in LMIC, particularly those within Africa.

Esophageal variceal hemorrhage: the role of MDCT characteristics in predicting the presence of varices and bleeding risk

PURPOSE

To investigate the associated Multi-Detector Computed Tomography (MDCT) features for esophageal varices (EVs) and esophageal variceal hemorrhage (EVH), with particular emphasis on different collateral veins.

MATERIALS AND METHODS

All cirrhotic patients who had undergone both Upper Gastrointestinal Tract (UGIT) endoscopy and contrast-enhanced MDCT within 6 months from 2013 to 2019 were included in the study. MDCT of 124 patients, 76 males and 48 females, aged between 21 and 73 years old were evaluated for presence of EV and presence and size of different collaterals. The presence and size of collaterals in patients with high-risk EVs or EVH were compared with others.

RESULTS

Findings of EV in MDCT analysis were the best predictor of EV or EVH, and presence (and/or size) of following collaterals showed a significant relationship with both EV and EVH: coronary (p = 0.006, 0.002), short gastric (SGC) (p = 0.02, < 0.001), and paraesophageal (p = 0.04, 0.01). Those presenting each aforementioned collaterals or with higher collateral size were more likely to develop the EV or EVH. Yet, other collaterals indicated no similar association: para-umbilical, omental, perisplenic, and splenorenal. Main coronary vein (p = 0.02, 0.03) and fundus (p = 0.006, 0.001) varices' sizes were also significantly higher in patients with EV or EVH. Finally, we suggested an imaging-based model (presence of SGC, SGC size > 2.5 mm, presence of EV, and coronary vein size > 3.5 mm) with 75.86% sensitivity, 76.92% specificity, and 76.36% accuracy to predict the presence of EVs according to UGIT endoscopy. Furthermore, we presented another model (presence of SGC, SGC size > 2.5 mm, presence of EV, and MELD score > 11.5 mm) to predict the occurrence of EVH with 75.86% sensitivity, 76.92% specificity, and 76.36% accuracy.

CONCLUSION

We suggested imaging characteristics for predicting EV and EVH with especial emphasis on the presence and size of various collaterals; then, we recommended reliable imaging criteria with high specificity and accuracy for predicting the EV and EVH.