| Literature DB >> 35207727 |
Mathias Jachs1,2, Lukas Hartl1,2, David Bauer1,2, Benedikt Simbrunner1,2,3, Albert Friedrich Stättermayer1, Robert Strassl4, Michael Trauner1, Mattias Mandorfer1,2, Thomas Reiberger1,2,3.
Abstract
BACKGROUND: Nucleos(t)ide analog (NA) treatment for hepatitis B virus (HBV) infection may improve clinically significant portal hypertension (CSPH). Data on hepatic venous pressure gradient (HVPG) and non-invasive tests (NITs) for risk re-stratification in virally suppressed HBV-infected patients with pre-treatment CSPH are limited.Entities:
Keywords: antivirals; cirrhosis; disease regression; liver stiffness; nucleos(t)ide analogs; portal hypertension; transient elastography
Year: 2022 PMID: 35207727 PMCID: PMC8880497 DOI: 10.3390/jpm12020239
Source DB: PubMed Journal: J Pers Med ISSN: 2075-4426
Figure 1Correlation of the hepatic venous pressure gradient (HVPG) and liver stiffness measurement (LSM) attained by vibration-controlled transient elastography (VCTE) (n = 17, ρ = 0.725, p < 0.001).
Comparison of patient characteristics under long-term chronic NA therapy stratified by the incidence of hepatic decompensation during FU.
| Patient Characteristics | No Hepatic Decompensation during FU | Hepatic Decompensation during FU | |
|---|---|---|---|
| Sex, male/female (% male) | 23/7 (76.7%) | 10/2 (83.3%) | 0.953 |
| Age, years (IQR) | 46.5 (40.1; 56.4) | 50.3 (47.7; 56.5) | 0.242 |
| BMI, kg/m2 | 26.6 (22.4; 30.9) | 24.6 (23.6; 27.5) | 0.452 |
| HBeAg positive (%) | 5 (16.7%) | 1 (12.5%) | 1.000 |
| NA compound | 0.453 | ||
| TDF (%) | 14 (46.7%) | 8 (66.7%) | |
| TAF (%) | 3 (10.0%) | 0 (0.0%) | |
| ETV | 6 (20.0%) | 1 (8.3%) | |
| 3TC/LdT | 7 (23.3%) | 3 (25.0%) | |
| Alcohol consumption (%) | 6 (16.7%) | 1 (12.5%) | 1.000 |
| Diabetes (%) | 10 (33.3%) | 2 (16.7%) | 0.545 |
| Previous hepatic decompensation | |||
| Any | 5 (16.7%) | 7 (58.3%) |
|
| Ascites | 4 (13.3%) | 7 (58.3%) |
|
| Encephalopathy | 0 (0.0%) | 1 (8.3%) | 0.631 |
| Variceal bleeding | 2 (6.7%) | 1 (8.3%) | 1.000 |
| Varices (%) | 0.414 | ||
| Small | 11 (36.7%) | 2 (18.2%) | |
| Large | 8 (26.7%) | 5 (45.5%) | |
| Splenomegaly (%) | 16 (53.3%) | 11 (91.7%) | 0.0051 |
| HVPG 1, mmHg (IQR) | 12 (9; 16) | 22 (21; 22) |
|
| HVPG ≥ 16 mmHg (%) | 3 (25.0%) | 5 (100%) |
|
| LSM, kPa (IQR) | 16.3 (10.0; 24.2) | 47.7 (31.7; 75.0) |
|
| LSM ≥ 25 kPa (%) | 7 (23.3%) | 12 (100%) |
|
| CTP stage (%) |
| ||
| A | 28 (93.3%) | 4 (33.3%) | |
| B | 2 (6.7%) | 8 (66.7%) | |
| MELD, points (IQR) | 8 (7; 10) | 11 (10; 12) |
|
| Albumin, g/L (IQR) | 39.8 (37.5; 43.7) | 34.6 (29.8; 36.3) | 0.001 |
| Bilirubin, mg/dL (IQR) | 0.84 (0.59; 1.19) | 1.31 (0.74; 2.20) | 0.058 |
| INR (IQR) | 1.2 (1.1; 1.3) | 1.3 (1.3; 1.5) | 0.051 |
| Creatinine, mg/dL | 0.82 (0.74; 0.94) | 0.72 (0.67; 0.99) | 0.444 |
| Sodium, mmol/L | 139 (138; 141) | 139 (135; 140) | 0.207 |
| Platelet count, G/L | 146 (91; 195) | 63 (48; 119) |
|
1 HVPG available in n = 17 patients. Note: Bold fonts show statistically significant differences between groups. Abbreviations: FU = follow-up; IQR = interquartile range; BMI = body mass index; NA = nucleos(t)ide analogue; TDF = tenofovir disoproxile fumarate; TAF = tenofovir alafenamide; 3TC/LdT = lamivudine/telbivudine; HVPG = hepatic venous pressure gradient; LSM = liver stiffness measurement; CTP = Child-Turcotte-Pugh; MELD = model for end-stage liver disease; INR = international normalized ratio.
Figure 2Time-dependent receiver operating characteristic curves for the prediction of (further) hepatic decompensation within three years of follow-up by HVPG (AUROC = 1.000 (95%CI 1.000–1.000); n = 17), LSM (0.944 (0.868–1.000)), MELD (0.869 (0.729–1.000)), PLT (0.775 (0.586–0.964), inverse association) and albumin levels (0.873 (0.727–1.000), inverse association). Abbreviations: HVPG = hepatic venous pressure gradient; LSM = liver stiffness measurement; MELD = model for end-stage liver disease score; PLT = platelet count; AUROC = area under the receiver operating characteristics curve.
Multivariate competing risk regression models with hepatic decompensation as outcome of interest and liver transplantation, diagnosis of hepatocellular carcinoma and non-liver-related death as competing risks. The parameter of interest (VCTE-LSM) is compared with the parameters that showed prognostic value in univariate analysis, i.e., (A) presence of ascites, (B) MELD and (C) albumin levels.
| Patient Characteristic | Model A * | Model B | Model C | ||||||
|---|---|---|---|---|---|---|---|---|---|
| aSHR | 95% CI |
| aSHR | 95% CI |
| aSHR | 95% CI |
| |
| LSM, per kPA | 1.03 | 1.01–1.06 |
| 1.04 | 1.02–1.06 |
| 1.04 | 1.01–1.06 |
|
| Ascites | 3.43 | 0.93–12.63 | 0.064 | - | - | - | |||
| MELD, per point | - | - | - | 1.14 | 1.05–1.23 |
| - | - | - |
| Albumin, per g/L | - | - | - | - | - | - | 0.93 | 0.84–1.03 | 0.150 |
* Model A was chosen by stepwise regression applying backward elimination including all four variables (see Supplementary Materials). Note: Bold fonts show statistically significant differences between groups. Abbreviations: aSHR = adjusted subdistribution hazard ratio; CI = confidence interval; LSM = liver stiffness measurement; MELD = model for end-stage liver disease score.
Figure 3Cumulative incidence of (A) (further) hepatic decompensation in the overall cohort and of (B) first hepatic decompensation in patients with compensated cirrhosis, stratified by liver stiffness ≥ 25 kPa versus < 25 kPa at follow-up examination. Importantly, HCC diagnosis, liver transplantation and non-liver related mortality were considered as competing risks (graphs not shown). Abbreviations: LSM = liver stiffness measurement; HCC = hepatocellular carcinoma.
Figure 4Changes in liver stiffness over time (presented as individual paired values and median and IQR) in patients undergoing an additional liver stiffness measurement during long-term follow-up (LFU). Only one patient showed an increase; the patient was diagnosed with HCC soon after. Abbreviations: T1 = first measurement LSM = liver stiffness measurement; HCC = hepatocellular carcinoma.