Indexed In : Science Citation Index Expanded(SCIE), MEDLINE,
Pubmed/Pubmed Central, Elsevier Bibliographic, Google Scholar,
Databases(Scopus & Embase), KCI, KoreaMed, DOAJ
Gut and Liver is an international journal of gastroenterology, focusing on the gastrointestinal tract, liver, biliary tree, pancreas, motility, and neurogastroenterology. Gut atnd Liver delivers up-to-date, authoritative papers on both clinical and research-based topics in gastroenterology. The Journal publishes original articles, case reports, brief communications, letters to the editor and invited review articles in the field of gastroenterology. The Journal is operated by internationally renowned editorial boards and designed to provide a global opportunity to promote academic developments in the field of gastroenterology and hepatology. +MORE
Yong Chan Lee |
Professor of Medicine Director, Gastrointestinal Research Laboratory Veterans Affairs Medical Center, Univ. California San Francisco San Francisco, USA |
Jong Pil Im | Seoul National University College of Medicine, Seoul, Korea |
Robert S. Bresalier | University of Texas M. D. Anderson Cancer Center, Houston, USA |
Steven H. Itzkowitz | Mount Sinai Medical Center, NY, USA |
All papers submitted to Gut and Liver are reviewed by the editorial team before being sent out for an external peer review to rule out papers that have low priority, insufficient originality, scientific flaws, or the absence of a message of importance to the readers of the Journal. A decision about these papers will usually be made within two or three weeks.
The remaining articles are usually sent to two reviewers. It would be very helpful if you could suggest a selection of reviewers and include their contact details. We may not always use the reviewers you recommend, but suggesting reviewers will make our reviewer database much richer; in the end, everyone will benefit. We reserve the right to return manuscripts in which no reviewers are suggested.
The final responsibility for the decision to accept or reject lies with the editors. In many cases, papers may be rejected despite favorable reviews because of editorial policy or a lack of space. The editor retains the right to determine publication priorities, the style of the paper, and to request, if necessary, that the material submitted be shortened for publication.
Dong Hyeon Lee1 , Youn I Choi1
, Jeong Mo Bae2
, Mee Soo Chang3
, Sae Kyung Joo1
, Yong Jin Jung1
, Kook Lae Lee1
, Byeong Gwan Kim1
, Won Kim1
Correspondence to: Won Kima and Byeong Gwan Kimb
Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul 07061, Korea
aTel: +82-2-870-2233, Fax: +82-2-831-2826, E-mail: drwon1@snu.ac.kr
bTel: +82-2-870-2217, Fax: +82-2-831-2826, E-mail: caskim@brmh.org
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Gut Liver 2020;14(5):636-643. https://doi.org/10.5009/gnl19203
Published online May 29, 2020, Published date September 15, 2020
Copyright © Gut and Liver.
Background/Aims: The alcoholic hepatitis histologic score (AHHS) is a recently developed clinical model for predicting short-term mortality in Caucasian patients with alcoholic hepatitis (AH). The AHHS has not been extensively validated in other ethnic populations. This study validated the AHHS in a Korean patient cohort. Methods: We conducted a prospective cohort study of hospitalized Korean patients with AH between January 2010 and August 2017. Histopathological findings were assessed to determine the AHHS in all study subjects. Histopathological risk factors were examined by Cox regression analysis to predict overall survival (OS). Kaplan-Meier curves were plotted to assess the diagnostic performance of the AHHS. Results: We recruited a total of 107 patients with biopsy-proven AH. None of the individual AHHS components were associated with 3-month mortality. However, the bilirubinostasis type and fibrosis severity were significantly associated with AH mortality beyond 6 months (all p<0.05, except fibrosis severity for 6-month mortality) and OS (all p<0.05). The modified AHHS classification as a binary variable (<5 vs ≥5) was also associated with OS (hazard ratio, 2.88; 95% confidence interval [CI], 1.50 to 5.56; p=0.002), and had higher predictive performance for OS (concordance index [C-index], 0.634; 95% CI, 0.561 to 0.707) than the original AHHS classification (mild vs moderate vs severe: C-index, 0.577; 95% CI, 0.498 to 0.656). This difference was statistically significant (p=0.045). Conclusions: In this prospective Korean AH cohort, the modified AHHS was significantly associated with OS. Therefore, the AHHS might be a useful histological prognosticator for long-term prognosis in patients with nonsevere AH.
Keywords: Hepatitis, alcoholic, Alcohol-related disorder, Classification, Biopsy, Prognosis
In developed countries, alcohol-related liver disease is a major cause of advanced liver disease and is the leading cause of death among those who abuse alcohol.1,2 The most severe form of alcohol-related liver disease is alcoholic hepatitis (AH), which is clinically characterized by jaundice and liver failure.3 As patients with AH exhibit higher rates of short-term mortality, there is a need for more accurate patient characterization and more targeted therapies.4 Although AH is often suspected based on clinical and biochemical findings, histological confirmation remains the only method of confirming the diagnosis.5 As such, reliable noninvasive tests for AH are clearly needed.
In order to predict clinical outcome in patients with AH, a number of models have been proposed. The Maddrey discriminant function and the model for end-stage liver disease (MELD) score have been used to identify those patients most likely to benefit from pharmacological therapy.6,7 Other validated models include the ABIC (age, serum bilirubin, international normalized ratio, and serum creatine) score, the Lille score, and the Glasgow alcoholic hepatitis score, and the MAGIC (model for AH to grade severity in an Asian patient cohort) score.8-11 Although biochemical data can be used to predict clinical outcome, AH is likely the only chronic liver disease that lacks a validated histological classification.
Previous studies have shown that several individual histological parameters are associated with clinical outcome in patients with AH.12-16 However, there was no attempt to develop a novel histological classification by integrating these parameters. Altamirano
The aims of this study were to (1) assess the frequency of each AHHS histological feature among Korean patients with AH and (2) evaluate the prognostic value of the AHHS for predicting long-term survival as well as short-term survival in Korean patients with AH.
The longitudinal cohort for this study was derived from an ongoing, single-center AH registry. Subjects with clinical and biochemical evidence of AH between January 2010 and August 2017 were prospectively enrolled based on inclusion criteria. The criteria for eligibility for liver biopsy were as follows: (1) ≥18 years old; (2) alcohol consumption >60 g/day for men and >40 g/day for women before admission; (3) recent onset of jaundice; (4) elevated levels of gamma-glutamyl transpeptidase; (5) elevated levels of transaminases with an aspartate aminotransferase/alanine aminotransferase ratio >1; and (6) an absence of other etiologies for chronic liver disease such as hepatitis B or C, autoimmune hepatitis, drug-induced liver injury, hemochromatosis, primary biliary cholangitis, or Wilson disease. The prospective study was conducted with those patients with histological confirmation of AH as evidenced by hepatocellular ballooning, steatosis, and neutrophil infiltration. Forty patients were not enrolled due to the presence of other causes of chronic liver disease (hepatitis C infection, n=16; concomitant hepatitis C/human immunodeficiency virus [HIV] coinfection, n=3; miliary tuberculosis, n=1; syphilitic hepatitis, n=1; hemochromatosis, n=1; or drug-induced liver injury, n=4) or failure to fulfill histologic criteria for AH (n=14). Based upon inclusion and exclusion criteria along with histological confirmation of AH, we enrolled a total of 107 patients in this study.
During the study, all patients received general supportive care including nutrient supplementation, enteral or parenteral nutrition if needed, and administration of B complex vitamins. Those patients that developed complications during hospitalization were treated according to current international practice guidelines.18-21 Patients with an Maddrey discriminant function score ≥32 were treated with oral prednisolone (40 mg daily) for 4 weeks, followed by a 2-week taper period. If oral dosing was not tolerated, methylprednisolone (intravenous) with equivalent efficacy (32 mg each 24 hours) was administered. The treatment response to corticosteroids was assessed at day 7 using the Lille score with a cutoff of 0.45.11 Patients with contraindications to corticosteroids were treated with pentoxifylline. We obtained written informed consent from each patient in the study cohort. This study was conducted according to the provisions in the Declaration of Helsinki for the participation of human subjects in research and was approved by the Institutional Review Board of Boramae Medical Center (IRB number: 16-2013-45). The trial was registered at clinicaltrials.gov (NCT 01943318).
Electronic medical records were used to obtain demographic, clinical, and laboratory parameters. Liver samples were obtained between days 1 and 7 after admission, either percutaneously or via a transjugular approach depending on the presence of variceal bleeding, ascites, or coagulopathy. Samples were fixed in 4% formalin, then embedded in paraffin. All liver biopsies were assessed and reviewed by a single, experienced liver pathologist (J.M.B.). Detailed histological analyses were performed both prospectively and retrospectively and included the following observations: (1) presence or absence of hepatocellular damage or ballooning; (2) degree of polymorphonuclear leukocyte infiltration (absent, mild, moderate, or severe); (3) presence or absence of Mallory bodies; (4) degree of steatosis (absent, mild, moderate, or severe); (5) presence and location of bilirubinostasis (absent, hepatocellular bilirubinostasis, canalicular or ductular bilirubinostasis, or mixed hepatocellular plus canalicular or ductular bilirubinostasis); (6) presence or absence of megamitochondria; and (7) stage of fibrosis (no fibrosis, portal fibrosis, expansive fibrosis, bridging fibrosis, or cirrhosis).12-17 Diagnosis of AH was based on the overall pattern of histological injury including hepatocellular damage (presence of Mallory bodies and hepatocellular ballooning), inflammatory infiltrate polymorphonuclear leukocytes, and pericellular fibrosis.8-22 In order to evaluate a possible association between short-term outcomes and the AHHS score, we graded the severity of fibrosis, type of bilirubinostasis, degree of neutrophil infiltration, and presence of megamitochondria.17
The endpoints included overall survival (OS) and mortality at 3 months, 6 months, and 1 year from the date of biopsy. OS was measured from the date of biopsy until the date of liver transplantation (LT) or death from any cause. When study participants were lost to follow-up before LT or death, those data were censored with respect to the date of their last clinic visit. The data cutoff date was May 10, 2018. All death events were verified using mortality data from the Ministry of the Interior and Safety of South Korea. Short-term mortality was defined as death within 3 months, whereas long-term mortality was defined as death beyond 6 months.
Median and interquartile range (IQR) were used to describe continuous variables, while means of counts and percentages were used to describe categorical variables. Logistic regression analysis was performed to identify histological features associated with 3-month, 6-month, and 1-year mortality. Associations between histological features and OS, and between the AHHS and OS, were assessed using Cox proportional hazard models. Harrell’s concordance-index (C-index) was calculated to validate the prognosis-predictive performance of the AHHS based on the histological classification system. The “compareC” package was used to determine significance between C-indices of the anatomic and prognostic staging models.23 Kaplan-Meier curves were used to generate survival data; statistical significance was determined using log-rank tests. p-values <0.05 were considered significant. All statistical analyses were performed using SPSS version 20.0 (IBM Corp., Armonk, NY, USA) and the R statistical programming environment, version 3.5.1 (R Foundation for Statistical Computing, Vienna, Austria).
This study included 107 patients with AH as confirmed by histological confirmation. Demographic, clinical, and biochemical data for the study population are presented in Table 1. The median age was 52 years (IQR, 43 to 59 years); 85 patients (79.4%) were male. The median time interval between admission and liver biopsy was 3 days (IQR, 1 to 4 days). One patient experienced acute anemia after percutaneous liver biopsy. However, he was discharged safely after conservative management without further deterioration.
A total of 31 patients (29.0%) were treated with corticosteroids; among these, 28 patients (90.3%) responded to steroid therapy in terms of the Lille score (<0.45) and completed the scheduled treatment for 28 days. Four patients with contraindications to corticosteroids were treated with pentoxifylline as an alternative therapy. Median follow-up duration was 68 weeks (IQR, 22 to 130 weeks), and the observed overall 3-month, 6-month, and 1-year mortality rates were 12.1%, 19.6%, and 30.8%, respectively. After discharge, only 20 patients (18.7%) achieved alcohol abstinence until the last follow-up and 43 patients (40.2%) were readmitted due to alcohol recidivism within 3 months.
First, we assessed the relationships between histological features and 3-month mortality (Supplementary Table 1). Univariate and multivariate analyses revealed that none of the AHHS components or any other histological features at admission were significantly associated with 3-month mortality. However, bilirubinostasis type and fibrosis severity were significantly associated with long-term mortality greater than 6 months (Supplementary Table 2). Ductular and/or canalicular plus hepatocellular bilirubinostasis was associated with 6-month mortality (odds ratio, 3.88; 95% confidence interval [CI], 1.39 to 10.83; p=0.010) and 1-year mortality (adjusted odds ratio, 7.05; 95% CI, 2.34 to 21.23; p=0.001), and bridging and/or cirrhosis was significantly associated with 1-year mortality (adjusted odds ratio, 25.96; 95% CI, 3.13 to 215.00; p=0.003).
OS was significantly associated with the bilirubinostasis type (ductular and/or canalicular plus hepatocellular vs no or hepatocellular only: adjusted hazard ratio [HR], 3.37; 95% CI, 1.79 to 6.34; p<0.001) and fibrosis severity (no/portal and/or expansive vs bridging and/or cirrhosis: adjusted HR, 5.28; 95% CI, 2.04 to 13.70; p=0.001) (Table 2).
Fifty patients (46.7%) died and two patients (1.9%) received LT during the follow-up period. Because more than half of patients were still alive without LT during the follow-up duration, we could not estimate the median OS. Among the 50 deaths, 19 occurred in the hospital and 16 (84.2%) succumbed to liver-related events (seven for bleeding, five for hepatorenal syndrome, and four for infection). Patients classified into the mild disease group (AHHS 0–3 points) had better prognosis than those classified into the moderate (4–5 points) and severe (6–9 points) groups. These differences, however, were not statistically significant (moderate vs mild: HR, 1.57; 95% CI, 0.67 to 3.66; p=0.300; severe vs mild: HR, 2.37; 95% CI, 1.00 to 5.59; p=0.050; and severe vs moderate: HR, 1.51; 95% CI, 0.83 to 2.73; p=0.176) (Table 3). The C-index of the AHHS was 0.577 (95% CI, 0.498 to 0.656) (Table 4).
Next, we used an alternative cutoff value (< 5 vs ≥ 5) proposed by Altamirano
The modified AHHS (<5 vs ≥5) was independently associated with OS after adjusting for ABIC (p<0.001) or MELD (p<0.001) score (Supplementary Table 3). Therefore, we investigated whether the sequential use of clinical and histological scores improved the prognostic performance for predicting survival in patients with AH. Since there were only six patients in the ABIC class C, the analysis for patients with ABIC class C was not conducted. The sequential use of the AHHS (<5 vs ≥5) did not improve the prognostic assessment in patients with a MELD score ≥21 (p=0.262). However, the AHHS (<5 vs ≥5) did successfully discriminate two subgroups according to the risk of death in patients with ABIC class A and B (ABIC score <9) (p=0.001) (Fig. 2A), and patients with MELD score <21 (p=0.006) (Fig. 2B).
In this prospective Korean AH cohort, we validated the prognosis-predictive value of the recently proposed AHHS by assessing OS in histologically confirmed patients. Contrary to the previous studies,17,24 our analyses indicate that none of the integral components of the AHHS were associated with 3-month mortality. By contrast, the type of bilirubinostasis and severity of fibrosis were significantly associated with long-term survival greater than 6 months. The bilirubinostasis pattern and fibrosis stage were also significantly associated with OS. The AHHS was significantly associated with OS when a cutoff of 5 points was used. Therefore, these results suggest that long-term survival (as compared to short-term survival) may be predicted by the AHHS in patients with nonsevere AH.
Previous studies reported that the presence of bilirubinostasis is an independent predictor of short-term mortality in AH.14,15,17,24 Although bilirubinostasis was not associated with 3-month mortality in our cohort, it was significantly associated with 6-month and 1-year mortality. Since the presence of bilirubinostasis is a surrogate marker for impairment in hepatocellular bile transport and hepatic bile flow, it is common to find bilirubinostasis in patients with severe AH. Several studies have reported that development of bacterial infection and sepsis was associated with bilirubinostasis type.15-17 Fibrosis severity was associated with 1-year survival in these patients. This can be attributed to the fact that advanced fibrosis can lead to cirrhosis-related complications and portal hypertension.25 Further studies are warranted to identify key molecular drivers and optimal therapeutic targets for bilirubinostasis and fibrosis in patients with AH.
A novel histological scoring system was developed by Altamirano
Our study is the first to evaluate the ability of AHHS to evaluate long-term prognosis in patients with AH. In addition, a major strength of this study is that it is the first external validation of AHHS in a Korean population with histologically confirmed AH. The impact of race and ethnicity on AH is not clear. However, this independent external validation of the AHHS in the Korean population is indispensable because of known ethnic significant differences in mitochondrial aldehyde dehydrogenase activity and obesity prevalence.27,28 The present study also is the first to clarify the association of the AHHS with OS, not restricted to liver-related mortality. Although a previous study performed survival analyses in some subgroups, it did not perform survival analyses for all patients.17 Another strength of our study lies in the fact that it affirms the usefulness of the AHHS and sequential use of noninvasive clinical scoring systems for risk stratification, demonstrating that using a cutoff of 5.0 points derived for sequential analyses was more effective and simpler for risk stratification than the original AHHS classification (mild vs moderate vs severe).
There are certain limitations that should be considered in the present study. First, the majority of patients had relatively well-preserved hepatic reserve (median MELD score, 14; median ABIC score, 7.0), and the 3-month mortality rate was much lower in the current study than in the previous discovery and validation studies.17,24 The disease severity of the observed population was different in our study than in the previous studies; therefore, the AHHS might not accurately predict 3-month mortality in our study despite the scoring system that was designed to predict short-term mortality. Second, we did not consider potential differences in interobserver variability in the present and previous studies. Significant interobserver variability among individual pathologists was found in the previous study.29 Although the majority of patients in our study exhibited mild to moderate AH, the proportion of patients with severe polymorphonuclear leukocyte infiltration, known as a favorable prognostic marker, was lower than in the previous study (13.1% vs 33%). These findings suggest that there could be significant interobserver variability among pathologists in the present and previous studies.
In summary, we observed that the AHHS accurately predicted OS and mortality beyond 6 months although the integral components of the AHHS were not significantly associated with 3-month mortality. Our results suggest that the AHHS is a useful tool to predict long-term prognosis rather than short-term mortality in Korean patients with relatively nonsevere AH.
This work was supported by Seoul Metropolitan Government Seoul National University (SMG-SNU) Boramae Medical Center (grant number: 03-2019-2).
No potential conflict of interest relevant to this article was reported.
Study concept and design: D.H.L., Y.I.C., W.K. Data acquisition: Y.I.C., J.M.B., S.K.J. Data analysis and interpretation: D.H.L., W.K. Drafting of the manuscript: D.H.L., Y.I.C. Critical revision of the manuscript for important intellectual content: M.S.C., Y.J.J., K.L.L. Statistical analysis: D.H.L., Y.I.C. Obtained funding: B.G.K. Study supervision: B.G.K., W.K. Final approval of the article: all authors.
Baseline Patient Characteristics (n=107)
Characteristic | Value |
---|---|
Age, yr | 52 (43–59) |
Male sex | 85 (79.4) |
Body weight, kg | 59.8 (52.0-71.1) |
Alcohol intake, g/day | 80 (45–113) |
Use of corticosteroids | 31 (29.0) |
Length of biopsy specimen, cm | 1.4 (1.2–1.6) |
Clinical decompensation at admission | |
Ascites | 46 (43.0) |
Well-controlled | 35 (32.7) |
Refractory | 11 (10.3) |
Encephalopathy | 1 (0.9) |
Infection | |
Spontaneous bacterial peritonitis | 6 (5.6) |
Pneumonia | 2 (1.9) |
UTI | 1 (0.9) |
Colitis | 1 (0.9) |
Sinusitis | 1 (0.9) |
Cellulitis | 1 (0.9) |
Miscellaneous | 9 (8.4) |
Laboratory and hemodynamic parameters | |
Hemoglobin, g/dL | 11.3 (9.6–12.9) |
Leukocyte count, ×109/L | 6.1 (4.6–9.1) |
Platelet count, ×109/L | 132 (81–190) |
Aspartate aminotransferase, U/L | 86 (58–142) |
Alanine aminotransferase, U/L | 32 (22–57) |
Serum sodium, mmol/L | 136 (132–139) |
Serum albumin, g/dL | 3.3 (2.8–3.9) |
Serum creatinine, mg/dL | 0.7 (0.6–0.9) |
Serum bilirubin, mg/dL | 4.1 (1.0–8.5) |
International normalized ratio | 1.32 (1.07–1.61) |
Liver volume, cm3* | 1,842 (1,355–2,440) |
AH severity scores at admission | |
MDF score | 12.8 (–1.3–37.3) |
MELD score | 14 (8–22) |
ABIC score | 7.0 (6.4–7.6) |
ABIC class | |
A (<6.71) | 38 (35.5) |
B (6.71–8.99) | 63 (58.9) |
C (≥9) | 6 (5.6) |
Histological features at admission | |
Fibrosis stage | |
No fibrosis or portal fibrosis | 17 (15.9) |
Expansive fibrosis | 14 (13.1) |
Bridging fibrosis or cirrhosis | 76 (71.0) |
Steatosis, % | |
5–33 | 37 (34.6) |
33–66 | 26 (24.3) |
>66 | 44 (41.1) |
Mallory bodies | |
None or occasional | 44 (41.1) |
Marked | 63 (58.9) |
Bilirubinostasis | |
None | 45 (42.1) |
Hepatocellular | 31 (29.0) |
Canalicular and/or ductular | 4 (3.7) |
Hepatocellular plus canalicular and/or ductular | 27 (25.2) |
Ballooning | |
Occasional | 71 (66.4) |
Marked | 36 (33.6) |
PMN infiltration | |
None/mild | 93 (86.9) |
Severe | 14 (13.1) |
Megamitochondria | |
No | 87 (81.3) |
Yes | 20 (18.7) |
Data are presented as the median (interquartile range) or number (%).
UTI, urinary tract infection; AH, alcoholic hepatitis; MDF, Maddrey discriminant function; MELD, model for end-stage liver disease; ABIC, age, serum bilirubin, international normalized ratio, and serum creatinine; PMN, polymorphonuclear neutrophil.
*Baseline total liver volume was measured using Aquarius iNtuition® software (TeraRecon, Houston, TX, USA) in 52 patients.
Univariate and Multivariate Analyses of Histological Features Associated with Overall Survival in Patients with Alcoholic Hepatitis
Histologic features | Univariate Cox regression (events, n=52) |
Multivariate Cox regression (events, n=52) |
Multivariate Cox regression (events, n=52) |
||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
HR | 95% CI | p-value | HR | 95% CI | p-value | HR | 95% CI | p-value | |||
Fibrosis | |||||||||||
No/portal and/or expansive | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference | |||||
Bridging and/or cirrhosis | 5.66 | 2.24–14.31 | <0.001 | 5.28 | 2.04–13.70 | 0.001 | 5.69 | 2.22–14.57 | <0.001 | ||
Bilirubinostasis | |||||||||||
No or hepatocellular only | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference | |||||
Ductular and/or canalicular | 4.20 | 1.24–14.14 | 0.021 | 3.44 | 0.99–12.02 | 0.052 | 5.31 | 1.49–18.88 | 0.010 | ||
Ductular and/or canalicular plus hepatocellular | 4.02 | 2.27–7.13 | <0.001 | 3.37 | 1.79–6.34 | <0.001 | 4.10 | 2.23–7.55 | <0.001 | ||
PMN infiltration | - | - | - | ||||||||
Mild | 1.00 | Reference | 1.00 | Reference | |||||||
Moderate/severe | 1.40 | 0.70–2.80 | 0.345 | 0.63 | 0.29–1.36 | 0.235 | |||||
Megamitochondria | - | - | - | ||||||||
No | 1.00 | Reference | 1.00 | Reference | |||||||
Yes | 1.40 | 0.75–2.63 | 0.295 | 1.00 | 0.51–1.97 | 0.997 | |||||
Ballooning | - | - | - | ||||||||
Occasional | 1.00 | Reference | 1.00 | Reference | |||||||
Marked | 2.60 | 1.50–4.51 | 0.001 | 0.98 | 0.52–1.85 | 0.944 | |||||
Mallory bodies | - | - | - | ||||||||
No | 1.00 | Reference | 1.00 | Reference | |||||||
Yes | 2.57 | 1.37–4.80 | 0.003 | 1.64 | 0.83–3.24 | 0.153 | |||||
Steatosis, % | - | - | - | - | - | - | |||||
5–33 | 1.00 | Reference | |||||||||
33–66 | 1.63 | 0.80–3.32 | 0.177 | ||||||||
>66 | 1.02 | 0.52–1.99 | 0.954 |
HR, hazard ratio; CI, confidence interval; PMN, polymorphonuclear neutrophil.
Cox Model Results for Overall Patient Survival Based on the AHHS
Histologic features | Cox regression (events, n=52) | ||
---|---|---|---|
HR | 95% CI | p-value | |
AHHS | |||
Mild (0–3) | 1.00 | Reference | |
Moderate (4–5) | 1.57 | 0.67–3.66 | 0.300 |
Severe (6–9) | 2.37 | 1.00–5.59 | 0.050 |
Moderate (4–5) | 1.00 | Reference | |
Severe (6–9) | 1.51 | 0.83–2.73 | 0.176 |
AHHS | |||
AHHS <5 | 1.00 | Reference | |
AHHS ≥5 | 3.16 | 1.65–6.07 | 0.001 |
AHHS, alcoholic hepatitis histologic score; HR, hazard ratio; CI, confidence interval.
Ranking of Classification by the C-Index
Histological features | C-index | 95% CI | p-value |
---|---|---|---|
AHHS (mild vs moderate vs severe) | 0.577 | 0.498–0.656 | 0.045 |
AHHS (<5 vs ≥5) | 0.634 | 0.561–0.707 |
C-index, concordance index; CI, confidence interval; AHHS, alcoholic hepatitis histologic score.
Gut and Liver 2020; 14(5): 636-643
Published online September 15, 2020 https://doi.org/10.5009/gnl19203
Copyright © Gut and Liver.
Dong Hyeon Lee1 , Youn I Choi1
, Jeong Mo Bae2
, Mee Soo Chang3
, Sae Kyung Joo1
, Yong Jin Jung1
, Kook Lae Lee1
, Byeong Gwan Kim1
, Won Kim1
1Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, 2Department of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, and 3Department of Pathology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
Correspondence to:Won Kima and Byeong Gwan Kimb
Division of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul 07061, Korea
aTel: +82-2-870-2233, Fax: +82-2-831-2826, E-mail: drwon1@snu.ac.kr
bTel: +82-2-870-2217, Fax: +82-2-831-2826, E-mail: caskim@brmh.org
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Background/Aims: The alcoholic hepatitis histologic score (AHHS) is a recently developed clinical model for predicting short-term mortality in Caucasian patients with alcoholic hepatitis (AH). The AHHS has not been extensively validated in other ethnic populations. This study validated the AHHS in a Korean patient cohort. Methods: We conducted a prospective cohort study of hospitalized Korean patients with AH between January 2010 and August 2017. Histopathological findings were assessed to determine the AHHS in all study subjects. Histopathological risk factors were examined by Cox regression analysis to predict overall survival (OS). Kaplan-Meier curves were plotted to assess the diagnostic performance of the AHHS. Results: We recruited a total of 107 patients with biopsy-proven AH. None of the individual AHHS components were associated with 3-month mortality. However, the bilirubinostasis type and fibrosis severity were significantly associated with AH mortality beyond 6 months (all p<0.05, except fibrosis severity for 6-month mortality) and OS (all p<0.05). The modified AHHS classification as a binary variable (<5 vs ≥5) was also associated with OS (hazard ratio, 2.88; 95% confidence interval [CI], 1.50 to 5.56; p=0.002), and had higher predictive performance for OS (concordance index [C-index], 0.634; 95% CI, 0.561 to 0.707) than the original AHHS classification (mild vs moderate vs severe: C-index, 0.577; 95% CI, 0.498 to 0.656). This difference was statistically significant (p=0.045). Conclusions: In this prospective Korean AH cohort, the modified AHHS was significantly associated with OS. Therefore, the AHHS might be a useful histological prognosticator for long-term prognosis in patients with nonsevere AH.
Keywords: Hepatitis, alcoholic, Alcohol-related disorder, Classification, Biopsy, Prognosis
In developed countries, alcohol-related liver disease is a major cause of advanced liver disease and is the leading cause of death among those who abuse alcohol.1,2 The most severe form of alcohol-related liver disease is alcoholic hepatitis (AH), which is clinically characterized by jaundice and liver failure.3 As patients with AH exhibit higher rates of short-term mortality, there is a need for more accurate patient characterization and more targeted therapies.4 Although AH is often suspected based on clinical and biochemical findings, histological confirmation remains the only method of confirming the diagnosis.5 As such, reliable noninvasive tests for AH are clearly needed.
In order to predict clinical outcome in patients with AH, a number of models have been proposed. The Maddrey discriminant function and the model for end-stage liver disease (MELD) score have been used to identify those patients most likely to benefit from pharmacological therapy.6,7 Other validated models include the ABIC (age, serum bilirubin, international normalized ratio, and serum creatine) score, the Lille score, and the Glasgow alcoholic hepatitis score, and the MAGIC (model for AH to grade severity in an Asian patient cohort) score.8-11 Although biochemical data can be used to predict clinical outcome, AH is likely the only chronic liver disease that lacks a validated histological classification.
Previous studies have shown that several individual histological parameters are associated with clinical outcome in patients with AH.12-16 However, there was no attempt to develop a novel histological classification by integrating these parameters. Altamirano
The aims of this study were to (1) assess the frequency of each AHHS histological feature among Korean patients with AH and (2) evaluate the prognostic value of the AHHS for predicting long-term survival as well as short-term survival in Korean patients with AH.
The longitudinal cohort for this study was derived from an ongoing, single-center AH registry. Subjects with clinical and biochemical evidence of AH between January 2010 and August 2017 were prospectively enrolled based on inclusion criteria. The criteria for eligibility for liver biopsy were as follows: (1) ≥18 years old; (2) alcohol consumption >60 g/day for men and >40 g/day for women before admission; (3) recent onset of jaundice; (4) elevated levels of gamma-glutamyl transpeptidase; (5) elevated levels of transaminases with an aspartate aminotransferase/alanine aminotransferase ratio >1; and (6) an absence of other etiologies for chronic liver disease such as hepatitis B or C, autoimmune hepatitis, drug-induced liver injury, hemochromatosis, primary biliary cholangitis, or Wilson disease. The prospective study was conducted with those patients with histological confirmation of AH as evidenced by hepatocellular ballooning, steatosis, and neutrophil infiltration. Forty patients were not enrolled due to the presence of other causes of chronic liver disease (hepatitis C infection, n=16; concomitant hepatitis C/human immunodeficiency virus [HIV] coinfection, n=3; miliary tuberculosis, n=1; syphilitic hepatitis, n=1; hemochromatosis, n=1; or drug-induced liver injury, n=4) or failure to fulfill histologic criteria for AH (n=14). Based upon inclusion and exclusion criteria along with histological confirmation of AH, we enrolled a total of 107 patients in this study.
During the study, all patients received general supportive care including nutrient supplementation, enteral or parenteral nutrition if needed, and administration of B complex vitamins. Those patients that developed complications during hospitalization were treated according to current international practice guidelines.18-21 Patients with an Maddrey discriminant function score ≥32 were treated with oral prednisolone (40 mg daily) for 4 weeks, followed by a 2-week taper period. If oral dosing was not tolerated, methylprednisolone (intravenous) with equivalent efficacy (32 mg each 24 hours) was administered. The treatment response to corticosteroids was assessed at day 7 using the Lille score with a cutoff of 0.45.11 Patients with contraindications to corticosteroids were treated with pentoxifylline. We obtained written informed consent from each patient in the study cohort. This study was conducted according to the provisions in the Declaration of Helsinki for the participation of human subjects in research and was approved by the Institutional Review Board of Boramae Medical Center (IRB number: 16-2013-45). The trial was registered at clinicaltrials.gov (NCT 01943318).
Electronic medical records were used to obtain demographic, clinical, and laboratory parameters. Liver samples were obtained between days 1 and 7 after admission, either percutaneously or via a transjugular approach depending on the presence of variceal bleeding, ascites, or coagulopathy. Samples were fixed in 4% formalin, then embedded in paraffin. All liver biopsies were assessed and reviewed by a single, experienced liver pathologist (J.M.B.). Detailed histological analyses were performed both prospectively and retrospectively and included the following observations: (1) presence or absence of hepatocellular damage or ballooning; (2) degree of polymorphonuclear leukocyte infiltration (absent, mild, moderate, or severe); (3) presence or absence of Mallory bodies; (4) degree of steatosis (absent, mild, moderate, or severe); (5) presence and location of bilirubinostasis (absent, hepatocellular bilirubinostasis, canalicular or ductular bilirubinostasis, or mixed hepatocellular plus canalicular or ductular bilirubinostasis); (6) presence or absence of megamitochondria; and (7) stage of fibrosis (no fibrosis, portal fibrosis, expansive fibrosis, bridging fibrosis, or cirrhosis).12-17 Diagnosis of AH was based on the overall pattern of histological injury including hepatocellular damage (presence of Mallory bodies and hepatocellular ballooning), inflammatory infiltrate polymorphonuclear leukocytes, and pericellular fibrosis.8-22 In order to evaluate a possible association between short-term outcomes and the AHHS score, we graded the severity of fibrosis, type of bilirubinostasis, degree of neutrophil infiltration, and presence of megamitochondria.17
The endpoints included overall survival (OS) and mortality at 3 months, 6 months, and 1 year from the date of biopsy. OS was measured from the date of biopsy until the date of liver transplantation (LT) or death from any cause. When study participants were lost to follow-up before LT or death, those data were censored with respect to the date of their last clinic visit. The data cutoff date was May 10, 2018. All death events were verified using mortality data from the Ministry of the Interior and Safety of South Korea. Short-term mortality was defined as death within 3 months, whereas long-term mortality was defined as death beyond 6 months.
Median and interquartile range (IQR) were used to describe continuous variables, while means of counts and percentages were used to describe categorical variables. Logistic regression analysis was performed to identify histological features associated with 3-month, 6-month, and 1-year mortality. Associations between histological features and OS, and between the AHHS and OS, were assessed using Cox proportional hazard models. Harrell’s concordance-index (C-index) was calculated to validate the prognosis-predictive performance of the AHHS based on the histological classification system. The “compareC” package was used to determine significance between C-indices of the anatomic and prognostic staging models.23 Kaplan-Meier curves were used to generate survival data; statistical significance was determined using log-rank tests. p-values <0.05 were considered significant. All statistical analyses were performed using SPSS version 20.0 (IBM Corp., Armonk, NY, USA) and the R statistical programming environment, version 3.5.1 (R Foundation for Statistical Computing, Vienna, Austria).
This study included 107 patients with AH as confirmed by histological confirmation. Demographic, clinical, and biochemical data for the study population are presented in Table 1. The median age was 52 years (IQR, 43 to 59 years); 85 patients (79.4%) were male. The median time interval between admission and liver biopsy was 3 days (IQR, 1 to 4 days). One patient experienced acute anemia after percutaneous liver biopsy. However, he was discharged safely after conservative management without further deterioration.
A total of 31 patients (29.0%) were treated with corticosteroids; among these, 28 patients (90.3%) responded to steroid therapy in terms of the Lille score (<0.45) and completed the scheduled treatment for 28 days. Four patients with contraindications to corticosteroids were treated with pentoxifylline as an alternative therapy. Median follow-up duration was 68 weeks (IQR, 22 to 130 weeks), and the observed overall 3-month, 6-month, and 1-year mortality rates were 12.1%, 19.6%, and 30.8%, respectively. After discharge, only 20 patients (18.7%) achieved alcohol abstinence until the last follow-up and 43 patients (40.2%) were readmitted due to alcohol recidivism within 3 months.
First, we assessed the relationships between histological features and 3-month mortality (Supplementary Table 1). Univariate and multivariate analyses revealed that none of the AHHS components or any other histological features at admission were significantly associated with 3-month mortality. However, bilirubinostasis type and fibrosis severity were significantly associated with long-term mortality greater than 6 months (Supplementary Table 2). Ductular and/or canalicular plus hepatocellular bilirubinostasis was associated with 6-month mortality (odds ratio, 3.88; 95% confidence interval [CI], 1.39 to 10.83; p=0.010) and 1-year mortality (adjusted odds ratio, 7.05; 95% CI, 2.34 to 21.23; p=0.001), and bridging and/or cirrhosis was significantly associated with 1-year mortality (adjusted odds ratio, 25.96; 95% CI, 3.13 to 215.00; p=0.003).
OS was significantly associated with the bilirubinostasis type (ductular and/or canalicular plus hepatocellular vs no or hepatocellular only: adjusted hazard ratio [HR], 3.37; 95% CI, 1.79 to 6.34; p<0.001) and fibrosis severity (no/portal and/or expansive vs bridging and/or cirrhosis: adjusted HR, 5.28; 95% CI, 2.04 to 13.70; p=0.001) (Table 2).
Fifty patients (46.7%) died and two patients (1.9%) received LT during the follow-up period. Because more than half of patients were still alive without LT during the follow-up duration, we could not estimate the median OS. Among the 50 deaths, 19 occurred in the hospital and 16 (84.2%) succumbed to liver-related events (seven for bleeding, five for hepatorenal syndrome, and four for infection). Patients classified into the mild disease group (AHHS 0–3 points) had better prognosis than those classified into the moderate (4–5 points) and severe (6–9 points) groups. These differences, however, were not statistically significant (moderate vs mild: HR, 1.57; 95% CI, 0.67 to 3.66; p=0.300; severe vs mild: HR, 2.37; 95% CI, 1.00 to 5.59; p=0.050; and severe vs moderate: HR, 1.51; 95% CI, 0.83 to 2.73; p=0.176) (Table 3). The C-index of the AHHS was 0.577 (95% CI, 0.498 to 0.656) (Table 4).
Next, we used an alternative cutoff value (< 5 vs ≥ 5) proposed by Altamirano
The modified AHHS (<5 vs ≥5) was independently associated with OS after adjusting for ABIC (p<0.001) or MELD (p<0.001) score (Supplementary Table 3). Therefore, we investigated whether the sequential use of clinical and histological scores improved the prognostic performance for predicting survival in patients with AH. Since there were only six patients in the ABIC class C, the analysis for patients with ABIC class C was not conducted. The sequential use of the AHHS (<5 vs ≥5) did not improve the prognostic assessment in patients with a MELD score ≥21 (p=0.262). However, the AHHS (<5 vs ≥5) did successfully discriminate two subgroups according to the risk of death in patients with ABIC class A and B (ABIC score <9) (p=0.001) (Fig. 2A), and patients with MELD score <21 (p=0.006) (Fig. 2B).
In this prospective Korean AH cohort, we validated the prognosis-predictive value of the recently proposed AHHS by assessing OS in histologically confirmed patients. Contrary to the previous studies,17,24 our analyses indicate that none of the integral components of the AHHS were associated with 3-month mortality. By contrast, the type of bilirubinostasis and severity of fibrosis were significantly associated with long-term survival greater than 6 months. The bilirubinostasis pattern and fibrosis stage were also significantly associated with OS. The AHHS was significantly associated with OS when a cutoff of 5 points was used. Therefore, these results suggest that long-term survival (as compared to short-term survival) may be predicted by the AHHS in patients with nonsevere AH.
Previous studies reported that the presence of bilirubinostasis is an independent predictor of short-term mortality in AH.14,15,17,24 Although bilirubinostasis was not associated with 3-month mortality in our cohort, it was significantly associated with 6-month and 1-year mortality. Since the presence of bilirubinostasis is a surrogate marker for impairment in hepatocellular bile transport and hepatic bile flow, it is common to find bilirubinostasis in patients with severe AH. Several studies have reported that development of bacterial infection and sepsis was associated with bilirubinostasis type.15-17 Fibrosis severity was associated with 1-year survival in these patients. This can be attributed to the fact that advanced fibrosis can lead to cirrhosis-related complications and portal hypertension.25 Further studies are warranted to identify key molecular drivers and optimal therapeutic targets for bilirubinostasis and fibrosis in patients with AH.
A novel histological scoring system was developed by Altamirano
Our study is the first to evaluate the ability of AHHS to evaluate long-term prognosis in patients with AH. In addition, a major strength of this study is that it is the first external validation of AHHS in a Korean population with histologically confirmed AH. The impact of race and ethnicity on AH is not clear. However, this independent external validation of the AHHS in the Korean population is indispensable because of known ethnic significant differences in mitochondrial aldehyde dehydrogenase activity and obesity prevalence.27,28 The present study also is the first to clarify the association of the AHHS with OS, not restricted to liver-related mortality. Although a previous study performed survival analyses in some subgroups, it did not perform survival analyses for all patients.17 Another strength of our study lies in the fact that it affirms the usefulness of the AHHS and sequential use of noninvasive clinical scoring systems for risk stratification, demonstrating that using a cutoff of 5.0 points derived for sequential analyses was more effective and simpler for risk stratification than the original AHHS classification (mild vs moderate vs severe).
There are certain limitations that should be considered in the present study. First, the majority of patients had relatively well-preserved hepatic reserve (median MELD score, 14; median ABIC score, 7.0), and the 3-month mortality rate was much lower in the current study than in the previous discovery and validation studies.17,24 The disease severity of the observed population was different in our study than in the previous studies; therefore, the AHHS might not accurately predict 3-month mortality in our study despite the scoring system that was designed to predict short-term mortality. Second, we did not consider potential differences in interobserver variability in the present and previous studies. Significant interobserver variability among individual pathologists was found in the previous study.29 Although the majority of patients in our study exhibited mild to moderate AH, the proportion of patients with severe polymorphonuclear leukocyte infiltration, known as a favorable prognostic marker, was lower than in the previous study (13.1% vs 33%). These findings suggest that there could be significant interobserver variability among pathologists in the present and previous studies.
In summary, we observed that the AHHS accurately predicted OS and mortality beyond 6 months although the integral components of the AHHS were not significantly associated with 3-month mortality. Our results suggest that the AHHS is a useful tool to predict long-term prognosis rather than short-term mortality in Korean patients with relatively nonsevere AH.
This work was supported by Seoul Metropolitan Government Seoul National University (SMG-SNU) Boramae Medical Center (grant number: 03-2019-2).
No potential conflict of interest relevant to this article was reported.
Study concept and design: D.H.L., Y.I.C., W.K. Data acquisition: Y.I.C., J.M.B., S.K.J. Data analysis and interpretation: D.H.L., W.K. Drafting of the manuscript: D.H.L., Y.I.C. Critical revision of the manuscript for important intellectual content: M.S.C., Y.J.J., K.L.L. Statistical analysis: D.H.L., Y.I.C. Obtained funding: B.G.K. Study supervision: B.G.K., W.K. Final approval of the article: all authors.
Table 1. Baseline Patient Characteristics (n=107)
Characteristic | Value |
---|---|
Age, yr | 52 (43–59) |
Male sex | 85 (79.4) |
Body weight, kg | 59.8 (52.0-71.1) |
Alcohol intake, g/day | 80 (45–113) |
Use of corticosteroids | 31 (29.0) |
Length of biopsy specimen, cm | 1.4 (1.2–1.6) |
Clinical decompensation at admission | |
Ascites | 46 (43.0) |
Well-controlled | 35 (32.7) |
Refractory | 11 (10.3) |
Encephalopathy | 1 (0.9) |
Infection | |
Spontaneous bacterial peritonitis | 6 (5.6) |
Pneumonia | 2 (1.9) |
UTI | 1 (0.9) |
Colitis | 1 (0.9) |
Sinusitis | 1 (0.9) |
Cellulitis | 1 (0.9) |
Miscellaneous | 9 (8.4) |
Laboratory and hemodynamic parameters | |
Hemoglobin, g/dL | 11.3 (9.6–12.9) |
Leukocyte count, ×109/L | 6.1 (4.6–9.1) |
Platelet count, ×109/L | 132 (81–190) |
Aspartate aminotransferase, U/L | 86 (58–142) |
Alanine aminotransferase, U/L | 32 (22–57) |
Serum sodium, mmol/L | 136 (132–139) |
Serum albumin, g/dL | 3.3 (2.8–3.9) |
Serum creatinine, mg/dL | 0.7 (0.6–0.9) |
Serum bilirubin, mg/dL | 4.1 (1.0–8.5) |
International normalized ratio | 1.32 (1.07–1.61) |
Liver volume, cm3* | 1,842 (1,355–2,440) |
AH severity scores at admission | |
MDF score | 12.8 (–1.3–37.3) |
MELD score | 14 (8–22) |
ABIC score | 7.0 (6.4–7.6) |
ABIC class | |
A (<6.71) | 38 (35.5) |
B (6.71–8.99) | 63 (58.9) |
C (≥9) | 6 (5.6) |
Histological features at admission | |
Fibrosis stage | |
No fibrosis or portal fibrosis | 17 (15.9) |
Expansive fibrosis | 14 (13.1) |
Bridging fibrosis or cirrhosis | 76 (71.0) |
Steatosis, % | |
5–33 | 37 (34.6) |
33–66 | 26 (24.3) |
>66 | 44 (41.1) |
Mallory bodies | |
None or occasional | 44 (41.1) |
Marked | 63 (58.9) |
Bilirubinostasis | |
None | 45 (42.1) |
Hepatocellular | 31 (29.0) |
Canalicular and/or ductular | 4 (3.7) |
Hepatocellular plus canalicular and/or ductular | 27 (25.2) |
Ballooning | |
Occasional | 71 (66.4) |
Marked | 36 (33.6) |
PMN infiltration | |
None/mild | 93 (86.9) |
Severe | 14 (13.1) |
Megamitochondria | |
No | 87 (81.3) |
Yes | 20 (18.7) |
Data are presented as the median (interquartile range) or number (%).
UTI, urinary tract infection; AH, alcoholic hepatitis; MDF, Maddrey discriminant function; MELD, model for end-stage liver disease; ABIC, age, serum bilirubin, international normalized ratio, and serum creatinine; PMN, polymorphonuclear neutrophil.
*Baseline total liver volume was measured using Aquarius iNtuition® software (TeraRecon, Houston, TX, USA) in 52 patients.
Table 2. Univariate and Multivariate Analyses of Histological Features Associated with Overall Survival in Patients with Alcoholic Hepatitis
Histologic features | Univariate Cox regression | Multivariate Cox regression | Multivariate Cox regression | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
HR | 95% CI | p-value | HR | 95% CI | p-value | HR | 95% CI | p-value | |||
Fibrosis | |||||||||||
No/portal and/or expansive | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference | |||||
Bridging and/or cirrhosis | 5.66 | 2.24–14.31 | <0.001 | 5.28 | 2.04–13.70 | 0.001 | 5.69 | 2.22–14.57 | <0.001 | ||
Bilirubinostasis | |||||||||||
No or hepatocellular only | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference | |||||
Ductular and/or canalicular | 4.20 | 1.24–14.14 | 0.021 | 3.44 | 0.99–12.02 | 0.052 | 5.31 | 1.49–18.88 | 0.010 | ||
Ductular and/or canalicular plus hepatocellular | 4.02 | 2.27–7.13 | <0.001 | 3.37 | 1.79–6.34 | <0.001 | 4.10 | 2.23–7.55 | <0.001 | ||
PMN infiltration | - | - | - | ||||||||
Mild | 1.00 | Reference | 1.00 | Reference | |||||||
Moderate/severe | 1.40 | 0.70–2.80 | 0.345 | 0.63 | 0.29–1.36 | 0.235 | |||||
Megamitochondria | - | - | - | ||||||||
No | 1.00 | Reference | 1.00 | Reference | |||||||
Yes | 1.40 | 0.75–2.63 | 0.295 | 1.00 | 0.51–1.97 | 0.997 | |||||
Ballooning | - | - | - | ||||||||
Occasional | 1.00 | Reference | 1.00 | Reference | |||||||
Marked | 2.60 | 1.50–4.51 | 0.001 | 0.98 | 0.52–1.85 | 0.944 | |||||
Mallory bodies | - | - | - | ||||||||
No | 1.00 | Reference | 1.00 | Reference | |||||||
Yes | 2.57 | 1.37–4.80 | 0.003 | 1.64 | 0.83–3.24 | 0.153 | |||||
Steatosis, % | - | - | - | - | - | - | |||||
5–33 | 1.00 | Reference | |||||||||
33–66 | 1.63 | 0.80–3.32 | 0.177 | ||||||||
>66 | 1.02 | 0.52–1.99 | 0.954 |
HR, hazard ratio; CI, confidence interval; PMN, polymorphonuclear neutrophil.
Table 3. Cox Model Results for Overall Patient Survival Based on the AHHS
Histologic features | Cox regression (events, n=52) | ||
---|---|---|---|
HR | 95% CI | p-value | |
AHHS | |||
Mild (0–3) | 1.00 | Reference | |
Moderate (4–5) | 1.57 | 0.67–3.66 | 0.300 |
Severe (6–9) | 2.37 | 1.00–5.59 | 0.050 |
Moderate (4–5) | 1.00 | Reference | |
Severe (6–9) | 1.51 | 0.83–2.73 | 0.176 |
AHHS | |||
AHHS <5 | 1.00 | Reference | |
AHHS ≥5 | 3.16 | 1.65–6.07 | 0.001 |
AHHS, alcoholic hepatitis histologic score; HR, hazard ratio; CI, confidence interval.
Table 4. Ranking of Classification by the C-Index
Histological features | C-index | 95% CI | p-value |
---|---|---|---|
AHHS (mild vs moderate vs severe) | 0.577 | 0.498–0.656 | 0.045 |
AHHS (<5 vs ≥5) | 0.634 | 0.561–0.707 |
C-index, concordance index; CI, confidence interval; AHHS, alcoholic hepatitis histologic score.