The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A Model to Predict Survival in Patients With End–Stage Liver Disease
Abstract
A recent mandate emphasizes severity of liver disease to determine priorities in allocating organs for liver transplantation and necessitates a disease severity index based on generalizable, verifiable, and easily obtained variables. The aim of the study was to examine the generalizability of a model previously created to estimate survival of patients undergoing the transjugular intrahepatic portosystemic shunt (TIPS) procedure in patient groups with a broader range of disease severity and etiology. The Model for End–Stage Liver Disease (MELD) consists of serum bilirubin and creatinine levels, International Normalized Ratio (INR) for prothrombin time, and etiology of liver disease. The model's validity was tested in 4 independent data sets, including (1) patients hospitalized for hepatic decompensation (referred to as “hospitalized” patients), (2) ambulatory patients with noncholestatic cirrhosis, (3) patients with primary biliary cirrhosis (PBC), and (4) unselected patients from the 1980s with cirrhosis (referred to as “historical” patients). In these patients, the model's ability to classify patients according to their risk of death was examined using the concordance (c)–statistic. The MELD scale performed well in predicting death within 3 months with a c–statistic of (1) 0.87 for hospitalized patients, (2) 0.80 for noncholestatic ambulatory patients, (3) 0.87 for PBC patients, and (4) 0.78 for historical cirrhotic patients. Individual complications of portal hypertension had minimal impact on the model's prediction (range of improvement in c–statistic: <.01 for spontaneous bacterial peritonitis and variceal hemorrhage to ascites: 0.01–0.03). The MELD scale is a reliable measure of mortality risk in patients with end–stage liver disease and suitable for use as a disease severity index to determine organ allocation priorities.
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Cites
Transection of the oesophagus for bleeding oesophageal varices
Pugh, R. N. H., Murray-Lyon, I. M., Dawson, J. L., Pietroni, M. C., & Williams, R. (1973) · Journal of British Surgery · doi:10.1002/bjs.1800600817 · Cited by 7,941
Malinchoc, M., Kamath, P. S., Gordon, F. D., Peine, C. J., Rank, J., & ter Borg, P. C. J. (2000) · Hepatology · doi:10.1053/he.2000.5852 · Cited by 2,893
Self-citationPrognosis in primary biliary cirrhosis: Model for decision making
Dickson, R. E., Grambsch, P. M., Fleming, T. R., Fisher, L. D., & Langworthy, A. (1989) · Hepatology · doi:10.1002/hep.1840100102 · Cited by 816 · cited 1×
“MELD 9 (4-14) 10 (8-13) 1 (22-5) 7 (3-13)”
Ursodiol for Primary Sclerosing Cholangitis
Lindor, K. D. (1997) · New England Journal of Medicine · doi:10.1056/nejm199703063361003 · Cited by 598
Grambsch, P. M., Dickson, R. E., Kaplan, M., Lesage, G., Fleming, T. R., & Langworthy, A. L. (1989) · Hepatology · doi:10.1002/hep.1840100516 · Cited by 107
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Cited by
EASL–EORTC Clinical Practice Guidelines: Management of hepatocellular carcinoma
European Association for the Study of the Liver, & European Organisation for Research and Treatment of Cancer (2012) · Journal of Hepatology · doi:10.1016/j.jhep.2011.12.001 · Cited by 5,218
“UNOS developed a priority system to manage waiting lists for transplantation based on the MELD score [218], which was originally generated to predict 3-month survival in patients with End-Stage Liver Disease [221].”
MethodVillanueva, A. (2019) · New England Journal of Medicine · doi:10.1056/nejmra1713263 · Cited by 4,508
BCLC strategy for prognosis prediction and treatment recommendation: the 2022 update
Reig, M., Forner, A., Rimola, J., Ferrer-Fàbrega, J., Burrel, M., Garcia-Criado, Á., Kelley, R. K., Galle, P. R., Mazzaferro, V., Salem, R., et al. (2022) · Journal of Hepatology · doi:10.1016/j.jhep.2021.11.018 · Cited by 4,319
Rahbari, N. N., Garden, O. J., Padbury, R., Brooke-Smith, M., Crawford, M., Adam, R., Koch, M., Makuuchi, M., Dematteo, R. P., Christophi, C., et al. (2011) · Surgery · doi:10.1016/j.surg.2010.10.001 · Cited by 2,319
Global burden of liver disease: 2023 update
Devarbhavi, H., Asrani, S. K., Arab, J. P., Nartey, Y. A., Pose, E., & Kamath, P. S. (2023) · Journal of Hepatology · doi:10.1016/j.jhep.2023.03.017 · Cited by 2,267
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Metadata
- Authors
- Kamath, P. S., Wiesner, R. H., Malinchoc, M., Kremers, W., Therneau, T. M., Kosberg, C. L., D'Amico, G., Dickson, R. E., & Kim, R. W.
- Venue
- Hepatology
- Published
- 2001-02
- Volume
- 33
- Issue
- 2
- Pages
- 464-470
- ISSN
- 0270-9139 (ISSN-L)
- OpenAlex
- W2069243984
- Cited by
- 4,975
- References
- 5
- FWCI
- 63.73
- Type
- journal article
- Language
- en
- Open access
- closed
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