Is There a Futility Discriminant Function Score for Alcoholic Hepatitis?
Abstract
:1. Introduction
2. Patients and Methods
2.1. Patient Selection
2.2. Definition of AH
2.3. Data Collection
2.4. Objective of the Study
2.5. Statistical Analysis
3. Results
3.1. Study Population
3.2. Patient Survival
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
References
- Grant, B.F.; Chou, S.P.; Saha, T.D.; Pickering, R.P.; Kerridge, B.T.; Ruan, W.J.; Hasin, D.S. Prevalence of 12-Month Alcohol Use, High-Risk Drinking, and DSM-IV Alcohol Use Disorder in the United States, 2001-2002 to 2012-2013: Results from the National Epidemiologic Survey on Alcohol and Related Conditions. JAMA Psychiatry 2017, 74, 911–923. [Google Scholar] [CrossRef] [PubMed]
- Rehm, J.; Taylor, B.; Mohapatra, S.; Irving, H.; Baliunas, D.; Patra, J.; Roerecke, M. Alcohol as a risk factor for liver cirrhosis: A systematic review and meta-analysis. Drug Alcohol Rev. 2010, 29, 437–445. [Google Scholar] [CrossRef] [PubMed]
- Pang, J.X.; Ross, E.; Borman, M.A.; Zimmer, S.; Kaplan, G.G.; Heitman, S.J.; Myers, R.P. Validation of coding algorithms for the identification of patients hospitalized for alcoholic hepatitis using administrative data. BMC Gastroenterol. 2015, 15, 116–120. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Crabb, D.W.; Bataller, R.; Chalasani, N.P.; Kamath, P.S.; Lucey, M.; Mathurin, P.; Szabo, G. Standard definitions and common data elements for clinical trials in patients with alcoholic hepatitis: Recommendation from the NIAAA alcoholic hepatitis consortia. Gastroenterology 2016, 150, 787–790. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Maddrey, W.C.; Boitnott, J.K. Corticosteroid therapy of alcoholic hepatitis. Gastroenterology 1978, 75, 193–199. [Google Scholar] [CrossRef]
- Thursz, M.R.; Richardson, P.; Allison, M.; Austin, A.; Bowers, M.; Day, C.P.; Downs, N.; Gleeson, D.; MacGilchrist, A.; Grant, A.; et al. Prednisolone or pentoxifylline for alcoholic hepatitis. N. Engl. J. Med. 2015, 372, 1619–1628. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Louvet, A.; Thursz, M.R.; Kim, D.J.; Labreuche, J.; Atkinson, S.R.; Sidhu, S.S.; Mathurin, P. Corticosteroids Reduce Risk of Death Within 28 Days for Patients with Severe Alcoholic Hepatitis, Compared with Pentoxifylline or Placebo-a Meta-analysis of Individual Data from Controlled Trials. Gastroenterology 2018, 155, 458–468. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Hmoud, B.S.; Patel, K.; Bataller, R.; Singal, A.K. Corticosteroids and occurrence of and mortality from infections in severe alcoholic hepatitis: A meta-analysis of randomized trials. Liver Int. 2016, 36, 721–728. [Google Scholar] [CrossRef]
- Crabb, D.W.; Im, G.Y.; Szabo, G.; Mellinger, J.L.; Lucey, M.R. Diagnosis and Treatment of Alcohol-Associated Liver Diseases: 2019 Practice Guidance from the American Association for the Study of Liver Diseases. Hepatology 2020, 71, 306–333. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Mendenhall, C.; Roselle, G.A.; Gartside, P.; Moritz, T. Relationship of protein calorie malnutrition to alcoholic liver disease: A reexamination of data from two Veterans Administration Cooperative Studies. Alcohol. Clin. Exp. Res. 1995, 19, 635–641. [Google Scholar] [CrossRef] [PubMed]
- Angeli, P.; Ginès, P.; Wong, F.; Bernardi, M.; Boyer, T.D.; Gerbes, A.; Garcia-Tsao, G. Diagnosis and management of acute kidney injury in patients with cirrhosis: Revised consensus recommendations of the International Club of Ascites. J. Hepatol. 2015, 62, 968–974. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Forrest, E.G.; Morris, A.J.; Stewart, S.; Phillips, M.; Oo, Y.H.; Fisher, N.C.; Day, C.P. The Glasgow alcoholic hepatitis score identifies patients who may benefit from corticosteroids. Gut 2007, 56, 353–358. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Dunn, W.; Jamil, L.H.; Brown, L.S.; Wiesner, R.H.; KIM, W.R.; Menon, K.V.; Shah, V. MELD accurately predicts mortality in patients with alcoholic hepatitis. Hepatology 2005, 41, 353–358. [Google Scholar] [CrossRef] [PubMed]
- Louvet, A.; Naveau, S.; Abdelnour, M.; Ramound, M.J.; Diaz, E.; Fartoux, L.; Mathurin, P. The Lille model: A new tool for therapeutic strategy in patients with severe alcoholic hepatitis treated with steroids. Hepatology 2007, 45, 1348–1354. [Google Scholar] [CrossRef] [PubMed]
Total n = 52 | DF 33–54 n = 25 | DF 55+ n = 27 | p-Value | |
---|---|---|---|---|
Age, years (IQR) | 47 (36, 52) | 47 (37, 52) | 45 (34, 51) | 0.36 |
Female (%) | 15 (29) | 7 (28) | 8 (30) | 0.90 |
Race | ||||
Black (%) | 8 (15) | 4 (16) | 4 (15) | 0.85 |
White (%) | 43 (83) | 20 (80) | 23 (85) | |
Ethnicity | ||||
Declined (%) | 3 (6) | 1 (4) | 2 (7) | 0.062 |
Hispanic or Latino (%) | 4 (8) | 4 (16) | 0 (0) | |
Non-Hispanic or Latino (%) | 45 (87) | 20 (80) | 25 (93) | |
WBC Count 103/μL (IQR) | 9.8 (7.5, 14.9) | 9.2 (6.1, 14.7) | 10.6 (8.1, 15.2) | 0.28 |
Platelets 103/μL (IQR) | 127 (69, 182) | 133 (98, 206) | 123 (65, 157) | 0.14 |
Sodium mmol/L (IQR) | 130 (128, 134) | 131 (129, 135) | 129 (125, 132) | 0.02 |
Creatinine mg/dL (IQR) | 1.0 (1.0,1.3) | 1.0 (1.0, 1.0) | 1.0 (1.0, 1.9) | 0.01 |
Prothrombin Time seconds (IQR) | 21.0 (19.1, 22.4) | 19.2 (17.7, 20.0) | 22.2 (21.7, 25.0) | <0.001 |
INR | 1.9 (1.7, 2.1) | 1.6 (1.5, 1.7) | 2.0 (1.9, 2.2) | <0.001 |
Bilirubin Day 0 mg/dL (IQR) | 20.8 (14.1, 25.5) | 19.9 (11.0, 21.8) | 22.2 (15.8, 27.7) | 0.06 |
Lille Score | 0.69 (0.26, 0.96) | 0.42 (0.23, 0.79) | 0.95 (0.55, 0.99) | 0.11 |
AST | 164 (117, 239) | 136 (91, 213) | 171 (137, 274) | 0.14 |
Albumin g/dL (IQR) | 2.2 (1.9, 2.5) | 2.3 (2.1, 2.5) | 2.0 (1.8, 2.4) | 0.045 |
Presence of GI Hemorrhage (%) | 5 (10) | 3 (12) | 2 (7) | 0.66 |
Infection | 13 (25) | 1 (4) | 12 (44) | <0.001 |
Median MELD | ||||
20–29 (%) | 41 (79) | 24 (96) | 17 (63) | <0.001 |
30+ (%) | 10 (19) | 0 (0) | 10 (37) | |
Median MELD-Na | <0.001 | |||
20–29 (%) | 36 (69) | 25 (100) | 11 (41) | <0.001 |
30+ (%) | 16 (31) | 0 (0) | 16 (59) |
Total n = 56 | No Steroids n = 29 | Steroids n = 27 | p-Value | |
---|---|---|---|---|
Age, years (IQR) | 46 (37, 51) | 46 (40, 50) | 45 (34, 51) | 0.27 |
Female (%) | 19 (34) | 11 (38) | 8 (30) | 0.51 |
Race | 0.67 | |||
Black (%) | 6 (11) | 2 (7) | 4 (15) | 0.67 |
White (%) | 48 (89) | 25 (93) | 23 (85) | |
Ethnicity | ||||
Declined (%) | 5 (9) | 3 (10) | 2 (7) | 0.67 |
Hispanic or Latino (%) | 2 (4) | 2 (7) | 0 (0) | |
Non-Hispanic or Latino (%) | 49 (87) | 24 (83) | 25 (93) | |
WBC Count 103/μL (IQR) | 10.6 (7.5,14.8) | 10.6 (7.3, 13.5) | 10.6 (8.1, 15.2) | 0.79 |
Platelets 103/μL (IQR) | 125 (79,157) | 128 (79, 162) | 123 (65, 157) | 0.36 |
Sodium mmol/L (IQR) | 131 (128, 134) | 132 (130, 134) | 129 (125, 132) | 0.001 |
Creatinine mg/dL (IQR) | 1.0 (1.0, 2.0) | 1.0 (1.0, 2.1) | 1.0 (1.0, 1.9) | 0.32 |
Prothrombin Time seconds (IQR) | 23.8 (21.6, 27.3) | 25.5 (21.4, 27.7) | 22.2 (21.7, 25.0) | 0.28 |
INR | 2.2 (1.9,2.6) | 2.4 (2.1, 2.6) | 2.0 (1.9, 2.2) | 0.18 |
Bilirubin Day 0 mg/dL (IQR) | 22.2 (14.9,27.6) | 21.9 (14.0, 27.5) | 22.2 (15.8, 27.7) | 0.43 |
AST | 166 (123,209) | 145 (111, 199) | 171 (137, 274) | 0.03 |
Albumin g/dL (IQR) | 2.0 (1.8,2.3) | 2.0 (1.8, 2.3) | 2.0 (1.8, 2.4) | 0.97 |
Presence of GI Hemorrhage (%) | 3 (5) | 1 (3) | 2 (7) | 0.60 |
Infection | 15 (27) | 3 (10) | 12 (44) | 0.004 |
Median MELD | ||||
20–29 (%) | 35 (62) | 18 (62) | 17 (63) | 0.94 |
30+ (%) | 21 (38) | 11 (38) | 10 (37) | |
Median MELD-Na | ||||
20–29 (%) | 25 (45) | 14 (48) | 11 (41) | 0.57 |
30+ (%) | 31 (55) | 15 (52) | 16 (59) |
Logistic Regression of 30-Day Mortality among Patients with DF > 32 | ||
Variable | Odds Ratio | 95% CI (p-Value) |
DF > 54 vs. DF 32–54 | 1.67 | 0.65–4.32 (0.29) |
Creatinine (0.3 unit increase) | 1.19 | 1.04–1.37 (0.01) |
Albumin | 1.16 | 0.37–3.70 (0.80) |
Steroid Treatment | 1.01 | 0.39–2.61 (0.98) |
Controlling for GI bleeding, age, and CCI | ||
Logistic Regression of 90-Day Mortality among Patients with DF > 32 | ||
Variable | Odds Ratio | 95% CI (p-Value) |
DF > 54 vs. DF 32–54 | 2.05 | 0.88–4.79 (0.10) |
Creatinine (0.3 unit increase) | 1.13 | 1.00–1.28 (0.06) |
Albumin | 1.15 | 0.42–3.20 (0.78) |
Steroid Treatment | 1.46 | 0.64–3.33 (0.37) |
Controlling for GI bleeding, age, and CCI |
Outcome | Odds Ratio | 95% CI (p-Value) |
---|---|---|
30-Day Mortality * | 0.98 | 0.9–1.03 (0.42) |
90-Day Mortality * | 0.98 | 0.94–1.02 (0.33) |
30-Day Mortality ** | 0.98 | 0.94–1.03 (0.40) |
90-Day Mortality ** | 0.98 | 0.94–1.02 (0.23) |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Lamm, K.; McCarter, M.; Russo, M.W. Is There a Futility Discriminant Function Score for Alcoholic Hepatitis? J. Clin. Med. 2021, 10, 2756. https://doi.org/10.3390/jcm10132756
Lamm K, McCarter M, Russo MW. Is There a Futility Discriminant Function Score for Alcoholic Hepatitis? Journal of Clinical Medicine. 2021; 10(13):2756. https://doi.org/10.3390/jcm10132756
Chicago/Turabian StyleLamm, Kevin, Maggie McCarter, and Mark W. Russo. 2021. "Is There a Futility Discriminant Function Score for Alcoholic Hepatitis?" Journal of Clinical Medicine 10, no. 13: 2756. https://doi.org/10.3390/jcm10132756
APA StyleLamm, K., McCarter, M., & Russo, M. W. (2021). Is There a Futility Discriminant Function Score for Alcoholic Hepatitis? Journal of Clinical Medicine, 10(13), 2756. https://doi.org/10.3390/jcm10132756