| Literature DB >> 34989164 |
Laura-Patricia Llovet1, Jordi Gratacós-Ginès1, Luis Téllez2, Ana Gómez-Outomuro3, Carmen A Navascués3, Mar Riveiro-Barciela4, Raquel Vinuesa5, Judith Gómez-Camarero5, Montserrat García-Retortillo6, Fernando Díaz-Fontenla7, Magdalena Salcedo7, María García-Eliz8, Diana Horta9, Marta Guerrero10, Manuel Rodríguez-Perálvarez10, Conrado Fernández-Rodriguez11, Agustín Albillos2, Juan G-Abraldes12, Albert Parés1, Maria-Carlota Londoño1.
Abstract
The value of noninvasive tools in the diagnosis of autoimmune hepatitis (AIH)-related cirrhosis and the prediction of clinical outcomes is largely unknown. We sought to evaluate (1) the utility of liver stiffness measurement (LSM) in the diagnosis of cirrhosis and (2) the performance of the Sixth Baveno Consensus on Portal Hypertension (Baveno VI), expanded Baveno VI, and the ANTICIPATE models in predicting the absence of varices needing treatment (VNT). A multicenter cohort of 132 patients with AIH-related cirrhosis was retrospectively analyzed. LSM and endoscopies performed at the time of cirrhosis diagnosis were recorded. Most of the patients were female (66%), with a median age of 54 years. Only 33%-49% of patients had a LSM above the cutoff points described for the diagnosis of AIH-related cirrhosis (12.5, 14, and 16 kPa). Patients with portal hypertension (PHT) had significantly higher LSM than those without PHT (15.7 vs. 11.7 kPa; P = 0.001), but 39%-52% of patients with PHT still had LSM below these limits. The time since AIH diagnosis negatively correlated with LSM, with longer time being significantly associated with a lower proportion of patients with LSM above these cutoffs. VNT was present in 12 endoscopies. The use of the Baveno VI, expanded Baveno VI criteria, and the ANTICIPATE model would have saved 46%-63% of endoscopies, but the latter underpredicted the risk of VNT. Conclusions: LSM cutoff points do not have a good discriminative capacity for the diagnosis of AIH-related cirrhosis, especially long-term after treatment initiation. Noninvasive tools are helpful to triage patients for endoscopy.Entities:
Mesh:
Year: 2022 PMID: 34989164 PMCID: PMC9134802 DOI: 10.1002/hep4.1889
Source DB: PubMed Journal: Hepatol Commun ISSN: 2471-254X
FIG. 1Flowchart of the patients included in the study. Abbreviation: EV, esophageal varices.
Clinical Characteristics of Patients at the Time of AIH Diagnosis
| Variable | All (n = 132) | Cirrhosis at Diagnosis of AIH (n = 60) | Cirrhosis During Follow‐up (n = 72) |
|
|---|---|---|---|---|
| Age (years) | 54 (42‐63) | 58 (50‐71) | 49 (29‐59) | 0.001 |
| Female (n, %) | 85 (64%) | 40 (67%) | 45 (63%) | 0.377 |
| Autoimmune comorbidity (n, %) | 36 (27%) | 18 (30%) | 18 (25%) | 0.327 |
| Laboratory results at diagnosis | ||||
| AST (U/L) | 359 (143‐835) | 334 (92‐575) | 489 (149‐1,172) | 0.046 |
| ALT (U/L) | 298 (146‐817) | 240 (80‐640) | 367 (202‐1,107) | 0.016 |
| ALP (U/L) | 175 (122‐243) | 171 (124‐238) | 178 (121‐313) | 0.531 |
| GGT (U/L) | 165 (84‐329) | 180 (102‐353) | 148 (69‐293) | 0.196 |
| Bilirubin (mg/dL) | 1.9 (0.9‐7.3) | 2 (1‐6.4) | 1.7 (0.9‐8) | 0.573 |
| IgG (g/dL) | 20.9 (16‐29.3) | 20.7 (16.1‐28) | 21.4 (15.2‐32) | 0.493 |
| ANA (titer) | 160 (50‐640) | 160 (40‐640) | 160 (60‐640) | 0.764 |
| SMA (titer) | 40 (0‐80) | 0 (0‐80) | 40 (0‐160) | 0.236 |
| AMA positivity (n, %) | 19 (14%) | 8 (13%) | 11 (15%) | 0.613 |
| Anti‐LKM positivity (n, %) | 12 (9%) | 4 (7%) | 8 (11%) | 0.362 |
| Anti‐SLA positivity (n, %) | 12 (9%) | 4 (7%) | 8 (11%) | 0.353 |
| Platelet count (×109) | 156 (121‐223) | 150 (113‐210) | 173 (130‐236) | 0.125 |
| INR | 1.1 (1.0‐1.4) | 1.2 (1‐1.4) | 1.1 (1‐1.4) | 0.822 |
| MELD score | 10 ‐18) | 10 (7‐18) | — | — |
| Fibrosis stage at diagnosis | <0.001 | |||
| F0‐F1 | 19 (16%) | 0 | 17 (30%) | |
| F2 | 9 (8%) | 0 | 9 (15%) | |
| F3 | 44 (38%) | 14 (24%) | 32 (55%) | |
| F4 | 44 (38%) | 44 (76%) | 0 | |
| Decompensation at diagnosis (n, %) | 16 (13%) | 16 (25%) | — | — |
| Simplified score HAI | 8 (6‐8) | 8 (6‐8) | 8 (6‐8) | 0.880 |
| Treatment (n, %) | 0.150 | |||
| Prednisone + azathioprine | 74 (56%) | 34 (57%) | 40 (57%) | |
| Azathioprine in monotherapy | 3 (2%) | 2 (3%) | 1 (1%) | |
| Prednisone in monotherapy | 46 (35%) | 18 (30%) | 28 (40%) | |
| Other | 9 (7%) | 8 (10%) | 3 (2%) |
Data are expressed as median (IQR).
Calculated only in patients with cirrhosis at diagnosis.
According to liver biopsy (available in 116 patients at diagnosis of AIH).
Other treatments included no treatment (n = 7), ursodeoxycholic acid (n = 1), and budesonide in combination with azathioprine (n = 1).
Abbreviations: ALP, alkaline phosphatase; AMA, anti‐mitochondrial antibody; ANA, antinuclear antibodies; anti‐LKM, anti‐liver kidney microsome type 1; anti‐SLA, anti‐soluble liver antigen; GGT, gamma‐glutamyltransferase; HAI, histological activity index; MELD: Model for End‐Stage Liver Disease; SMA, smooth muscle antibodies.
Patients With LSM Above the Defined Cutoff Point for the Diagnosis of Cirrhosis
| Cutoff | All (n = 107) | Response to Therapy | PHT | ||||
|---|---|---|---|---|---|---|---|
| Remission (n = 76) | Not in Remission (n = 31) |
| No (n = 53) | Yes (n = 54) |
| ||
| ≥12.5 kPa | 52 (49%) | 33 (43%) | 19 (61%) | 0.131 | 19 (36%) | 33 (61%) | 0.012 |
| ≥14 kPa | 44 (41%) | 28 (37%) | 16 (52%) | 0.196 | 13 (24%) | 31 (57%) | 0.001 |
| ≥16 kPa | 37 (33%) | 22 (29%) | 13 (42%) | 0.256 | 9 (17%) | 26 (48%) | 0.001 |
Analysis based on 107 patients with a LSM performed 6 months after starting immunosuppressive treatment; 76 were in biochemical remission.
FIG. 2Impact of time between the initiation of immunosuppressive treatment and LSM on the ability of LSM to detect cirrhosis in patients with AIH. (A) Correlation between time (in months) and LSM (kPa). Bivariate correlation was analyzed using the Spearman rank‐order correlation test. (B) Proportion of patients with cirrhosis and LSM ≥ 12.5 kPa, 14 kPa, and 16 kPa according to time after treatment initiation (divided into four periods: ≤12 months, 12‐36 months, 36‐60 months, and ≥60 months). (C) Same as (B) but analyzing only patients with portal hypertension.
FIG. 3Association between VCTE values and platelet count and the risk of VNT in patients with cirrhosis related to AIH. These exploratory plots were constructed with non‐parametric local regression (locally weighted least squares).
FIG. 4Performance (in terms of calibration) of the original ANTICIPATE model and the ANTICIPATE‐PBC model in predicting VNT. (A) Calibration plot of the original ANTICIPATE model. This model underpredicted the risk of VNT in the segment of patients with a risk of between 5% and 20%. (B) Calibration plot of the ANTICIPATE‐PBC model, which shows excellent agreement between the predicted and observed probabilities of VNT. The bars over the x‐axis show the distribution of the patients according to predicted risks. Z‐value represents the Spiegelhalter calibration( ) with its P value. The closer the value of the Z‐statistic to zero, and the higher its P value, the better the calibration of the model.
Performance of the Different Criteria to Rule Out the Presence of VNT
| Criteria | Spared Endoscopies | Sensitivity | Specificity | +LR | −LR | PPV | NPV |
|---|---|---|---|---|---|---|---|
| Baveno VI | 45 (46%) | 1.0 (0.73‐1.0) | 0.54 (0.44‐0.74) | 2.18 (1.76‐2.70) | 0 | 0.19 (0.16‐0.23) | 1.0 |
| Expanded Baveno VI | 62 (63%) | 1.0 (0.74‐1.0) | 0.63 (0.53‐0.73) | 2.72 (2.10‐3.53) | 0 | 0.23 (0.19‐0.28) | 1.0 |
| ANTICIPATE | 62 (63%) | 1.0 (0.74‐1.0) | 0.63 (0.53‐0.73) | 2.72 (2.10‐3.53) | 0 | 0.23 (0.19‐0.28) | 1.0 |
| ANTICIPATE‐PBC | 53 (54%) | 1.0 (0.74‐1.0) | 0.54 (0.44‐0.64) | 2.18 (1.76‐2.70) | 0 | 0.21 (0.18‐0.25) | 1.0 |
Risk threshold of 5%.
Abbreviations: +LR, positive likelihood ratio; −LR, negative likelihood ratio; PPV, positive predictive value.