| Literature DB >> 32166191 |
Alia Hadefi1,2, Delphine Degré1,2, Eric Trépo1,2, Christophe Moreno1,2.
Abstract
BACKGROUND: Alcohol-related liver disease (ALD) represents a major cause of death worldwide, and unfortunately, most patients are diagnosed at an advanced stage of the disease, which is related to poorer outcomes. Liver biopsy has historically been the gold standard for identifying advanced hepatic fibrosis, but this approach has several limitations, including invasiveness, low applicability, sampling variability, and cost. MAIN TEXT: In order to detect earlier features of advanced liver fibrosis, surrogate biomarkers and techniques have been developed. While these were initially developed for chronic liver diseases such as viral hepatitis and nonalcoholic fatty liver disease (NAFLD), their performance in ALD has also been recently studied. Among the noninvasive surrogate markers and techniques used to detect liver fibrosis, the Enhanced Liver Fibrosis test, FibroTest, and Transient Elastography are the most accurate and validated techniques. In this review, we summarize the current status of the noninvasive assessment of liver disease in ALD and provide a synthesis of how these noninvasive tools can be used in clinical practice. Finally, we briefly outline novel biomarkers that are currently being investigated and discuss future directions and new opportunities in the noninvasive diagnosis of ALD.Entities:
Keywords: alcohol‐related liver disease; biomarkers; fibrosis; noninvasive diagnosis; transient elastography
Year: 2020 PMID: 32166191 PMCID: PMC7060960 DOI: 10.1002/hsr2.146
Source DB: PubMed Journal: Health Sci Rep ISSN: 2398-8835
Performance of biological tests for the diagnosis of advanced fibrosis and cirrhosis in patients with biopsy‐proven ALD
| Tests | Patients, n | Endpoint | AUC | Se, % | Sp, % | NPV, % | PPV, % |
|---|---|---|---|---|---|---|---|
| ELF ≥10.5 | 289 | F3‐F4 | 0.92‐0.94 | 79 | 91 | 94 | 71 |
| FT ≥0.58 | 289 | F3‐F4 | 0.88‐0.88 | 67 | 87 | 90 | 60 |
| Fibrometer | 218 | F3‐F4 | 0.83‐0.94 | 91.8‐91.8 | 92.3‐92.3 | NA | NA |
| Hepascore | 218 | F3‐F4 | 0.83‐0.92 | NA | NA | NA | NA |
| APRI ≥1.0 | 289 | F3‐F4 | 0.80‐0.85 | 38 | 90 | 83 | 52 |
| Fib‐4 ≥ 3.25 | 289 | F3‐F4 | 0.85‐0.89 | 58 | 91 | 88 | 64 |
Abbreviations: ALD, alcohol‐related liver disease; APRI, aspartate transaminase‐platelet ratio index; AUC, area under the curve; ELF, Enhanced Liver Fibrosis; FT, Fibrotest; Se, sensitivity; Sp, specificity; NPV, negative predictive value; PPV, positive predictive value; NA, not available.
Characteristics of the available elastography techniques for liver fibrosis stratification
| Techniques | Evidence in ALD | Availability | Confounders | Failure Rate (%) | Cost | ||
|---|---|---|---|---|---|---|---|
| Obesity | inflammation | Others | |||||
| TE | +++ | +++ | ++ | ++ | congestion, alcohol, amyloidosis | 3.1‐15.8 (39) | € |
| ARFI/pSWE | + | ++ | + | ++ | ? | 2.1 (66) | €€ |
| 2D‐SWE | + | + | ? | ? | ? | 4 | €€ |
| MRE | + | + | ++ | ++ | ? | 4.3 | €€€ |
Abbreviations: ?, limited data; ALD, alcoholic liver disease; ARFI, acoustic radiation force imaging; MRE, magnetic resonance elastography; TE, transient elastography; SWE, shear wave elastography.
Performances of Transient Elastography for the diagnosis of advanced fibrosis and cirrhosis in patients with biopsy‐proven ALD
| Authors | Year | Design | Patients, n | Age, y | Endpoint | Prevalence, % | Cutoff, kPa | AUC | Se, % | Sp, % |
|---|---|---|---|---|---|---|---|---|---|---|
| Nahon et al | 2008 | P | 147 | 54.4 ± 8.9 | F3‐F4 | 71‐48 | 12.9‐22.6 | 0.94‐0.87 | 81‐84 | 89‐80 |
| Nguyen‐Khac et al | 2008 | P | 103 | 52.6 ± 9.6 | F3‐F4 | 53‐32 | 11‐19.5 | 0.90‐0.92 | 86.7‐85.7 | 80.5‐84.2 |
| Kim et al | 2009 | R | 45 | 49 ± 8 | F3‐F4 | 80‐64 | 18.5‐25.8 | 0.98‐0.97 | 89‐90 | 89‐87 |
| Boursier et al | 2009 | P | 91 | 56 ± 10 | F3‐F4 | 69‐37 | 11.4‐17.3 | 0.85‐0.91 | 75‐82 | 75‐79 |
| Mueller et al | 2010 | P | 101 | 53.2 ± 10.6 | F3‐F4 | 66‐60 | 8.0‐11.5 | 0.91‐0.92 | 91‐100 | 75‐77 |
| Janssens et al | 2010 | R | 48 | 55 ± 9 | F3‐F4 | 65‐40 | 17.2‐21.7 | 0.75‐0.89 | 71‐79 | 71‐79 |
| Fernandez et al | 2015 | R | 112 | 55 ± 10 | F3‐F4 | 46‐29 | 15.2‐24.3 | 0.84‐0.90 | 79‐81 | 78‐82 |
| Thiele et al | 2016 | P | 189 | 49 ± 10 | F3‐F4 | 40‐15 | 8.8‐16.9 | 0.89‐0.94 | 80‐88 | 83‐88 |
| Voican et al | 2017 | P | 188 | 55 ± 11 | F3‐F4 | 22‐14 | 13‐20.8 | 0.96‐0.90 | 90‐89 | 90‐90 |
| Nguyen‐Khac et al | 2018 | M | 1026 | 54 ± 11 | F3‐F4 | 65‐42 | 12.1‐18.6 | 0.90‐0.91 | 81‐84 | 83‐85 |
Abbreviations: P, prospective; R, retrospective; M, meta‐analysis; AUC, area under the curve; Se, sensitivity; Sp, specificity.
Figure 1An algorithm for the use of noninvasive tests in clinical practice for predicting advanced fibrosis in patients with alcohol‐related liver disease (ALD). AST, aspartate aminotransferase; ELF, enhance liver fibrosis; FT, Fibrotest; HCC, hepatocellular carcinoma; LSM, liver stiffness measurement; TE, transient elastography; US, ultrasound. *Consider intervention (alcohol withdrawal) or use AST adapted cutoffs if alcohol withdrawal is not feasible. $Consider liver biopsy if the presence of cirrhosis is not clear. Adapted from Castera et al,111 with permission from Elsevier