We aimed to evaluate the accuracy of serological biomarkers for non-alcoholic fatty liver disease (NAFLD) and advanced fibrosis (METAVIR-F3F4) in HIV mono-infected individuals.
MethodsIn all, 674 participants from the PROSPEC-HIV study (NCT02542020), who had blood sample tests and transient elastography (TE) performed on the same day, were eligible. Exclusion criteria were viral hepatitis co-infection (n = 90), abusive alcohol intake (n = 61), missing data (n = 47) or unreliable TE (n = 39). NAFLD was defined by controlled attenuation parameter ≥ 248 dB/m and advanced fibrosis by liver stiffness measurement ≥ 8.7 kPa with M probe or ≥ 7.2 kPa with XL probe. Biomarkers for NAFLD [Steato-ELSA, Fatty Liver Index (FLI), Hepatic Steatosis Index (HSI), NAFLD-Liver Fat Score (NAFLD-LFS)] and fibrosis [Fibrosis-4 score (FIB-4), Aspartate-to-Platelet Ratio Index (APRI) and NAFLD Fibrosis Score (NFS)] were calculated.
ResultsA total of 437 patients [57% female, age = 44 (interquartile range: 35-52) years, body mass index (BMI) = 26.1 (23.4-29.3) kg/m 2 , CD4 = 660 (427-901) cells/μL] were included. The prevalence [95% confidence interval (CI)] of NAFLD and advanced fibrosis were 38.2% (33.8-42.9) and 10.5% (8.0-13.8), respectively. The areas (95% CI) under the receiver operator curve (AUROCs) for diagnosis of NAFLD were 0.854 (0.818-0.889), 0.840 (0.804-0.877), 0.805 (0.762-0.847) and 0.793 (0.750-0.836) for Steato-ELSA, FLI, HSI and NAFLD-LFS (P < 0.001), respectively. All tests yielded satisfactory sensitivities, specificities and negative predictive values (NPVs). The AUROCs (95% CI) for diagnosis of advanced fibrosis were 0.736 (0.659-0.814), 0.700 (0.614-0.7851) and 0.795 (0.726-0.864) for FIB-4, APRI and NFS (P = 0.077), respectively. These tests yielded high specificities and negative predictive values (NPVs) > 90%.
ConclusionBiomarkers for NAFLD had a good accuracy and those for fibrosis had high specificities and NPVs. These tests should be integrated to HIV care to detect NAFLD and to exclude advanced liver fibrosis.
Objective
We aimed to evaluate the agreement/accuracy of point shear-wave elastography (p-SWE) and 2D-shear-wave elastography (2D-SWE) for liver fibrosis staging using transient elastography (TE) as the reference.
Methods
This retrospective study analyzed data from people with chronic liver diseases submitted to TE, p-SWE, and 2D-SWE. Liver fibrosis stages were defined using the TE’s ‘rule of five’: normal (<5 kPa); suggestive of compensated-advanced chronic liver disease (cACLD) (10–15 kPa); highly suggestive of cACLD (15–20 kPa); suggestive of clinically significant portal hypertension (>20 kPa). Agreement and accuracy of p-SWE and 2D-SWE were assessed. Optimal cutoffs for p-SWE and 2D-SWE were identified using the point nearest to the upper left corner of the ROC curves.
Results
A total of 289 participants were included. The correlation between TE and 2D-SWE (rho = 0.59; P < 0.001) or p-SWE (rho = 0.69; P < 0.001) was satisfactory. The AUROCs (95% CI) of 2D-SWE and p-SWE for TE ≥ 5 kPa; TE ≥ 10 kPa; TE ≥ 15 kPa and TE ≥ 20 kPa were 0.757 (0.685–0.829) and 0.741 (0.676–0.806); 0.819 (0.770–0.868) and 0.870 (0.825–0.915); 0.848 (0.803–0.893) and 0.952 (0.927–0.978); 0.851 (0.806–0.896) and 0.951 (0.920–0.982), respectively. AUROCs of 2D-SWE were significantly lower compared with p-SWE for detecting cACLD. Optimal thresholds of 2D-SWE and p-SWE for TE ≥ 15 kPa were 8.82 kPa (sensitivity = 86% and specificity = 79%) and 8.86 kPa (sensitivity = 90% and specificity = 92%), respectively.
Conclusion
LSM by p-SWE and 2D-SWE techniques were correlated with TE. LSM by p-SWE seems to be more accurate than 2D-SWE to identify patients with more advanced fibrosis.
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