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The MELD-Plus: A generalizable prediction risk score in cirrhosis

BACKGROUND AND AIMS: Accurate assessment of the risk of mortality following a cirrhosis-related admission can enable health-care providers to identify high-risk patients and modify treatment plans to decrease the risk of mortality. METHODS: We developed a post-discharge mortality prediction model fo...

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Autores principales: Kartoun, Uri, Corey, Kathleen E., Simon, Tracey G., Zheng, Hui, Aggarwal, Rahul, Ng, Kenney, Shaw, Stanley Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5656314/
https://www.ncbi.nlm.nih.gov/pubmed/29069090
http://dx.doi.org/10.1371/journal.pone.0186301
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author Kartoun, Uri
Corey, Kathleen E.
Simon, Tracey G.
Zheng, Hui
Aggarwal, Rahul
Ng, Kenney
Shaw, Stanley Y.
author_facet Kartoun, Uri
Corey, Kathleen E.
Simon, Tracey G.
Zheng, Hui
Aggarwal, Rahul
Ng, Kenney
Shaw, Stanley Y.
author_sort Kartoun, Uri
collection PubMed
description BACKGROUND AND AIMS: Accurate assessment of the risk of mortality following a cirrhosis-related admission can enable health-care providers to identify high-risk patients and modify treatment plans to decrease the risk of mortality. METHODS: We developed a post-discharge mortality prediction model for patients with a cirrhosis-related admission using a population of 314,292 patients who received care either at Massachusetts General Hospital (MGH) or Brigham and Women’s Hospital (BWH) between 1992 and 2010. We extracted 68 variables from the electronic medical records (EMRs), including demographics, laboratory values, diagnosis codes, and medications. We then used a regularized logistic regression to select the most informative variables and created a risk score that comprises the selected variables. To evaluate the potential for generalizability of our score, we applied it on all cirrhosis-related admissions between 2010 and 2015 at an independent EMR data source of more than 18 million patients, pooled from different health-care systems with EMRs. We calculated the areas under the receiver operating characteristic curves (AUROCs) to assess prediction performance. RESULTS: We identified 4,781 cirrhosis-related admissions at MGH/BWH hospitals, of which 778 resulted in death within 90 days of discharge. Nine variables were the most effective predictors for 90-day mortality, and these included all MELD-Na’s components, as well as albumin, total cholesterol, white blood cell count, age, and length of stay. Applying our nine-variable risk score (denoted as “MELD-Plus”) resulted in an improvement over MELD and MELD-Na scores in several prediction models. On the MGH/BWH 90-day model, MELD-Plus improved the performance of MELD-Na by 11.4% (0.78 [95% CI, 0.75–0.81] versus 0.70 [95% CI, 0.66–0.73]). In the MGH/BWH approximate 1-year model, MELD-Plus improved the performance of MELD-Na by 8.3% (0.78 [95% CI, 0.76–0.79] versus 0.72 [95% CI, 0.71–0.73]). Performance improvement was similar when the novel MELD-Plus risk score was applied to an independent database; when considering 24,042 cirrhosis-related admissions, MELD-Plus improved the performance of MELD-Na by 16.9% (0.69 [95% CI, 0.69–0.70] versus 0.59 [95% CI, 0.58–0.60]). CONCLUSIONS: We developed a new risk score, MELD-Plus that accurately stratifies the short-term mortality of patients with established cirrhosis, following a hospital admission. Our findings demonstrate that using a small set of easily accessible structured variables can help identify novel predictors of outcomes in cirrhosis patients and improve the performance of widely used traditional risk scores.
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spelling pubmed-56563142017-11-09 The MELD-Plus: A generalizable prediction risk score in cirrhosis Kartoun, Uri Corey, Kathleen E. Simon, Tracey G. Zheng, Hui Aggarwal, Rahul Ng, Kenney Shaw, Stanley Y. PLoS One Research Article BACKGROUND AND AIMS: Accurate assessment of the risk of mortality following a cirrhosis-related admission can enable health-care providers to identify high-risk patients and modify treatment plans to decrease the risk of mortality. METHODS: We developed a post-discharge mortality prediction model for patients with a cirrhosis-related admission using a population of 314,292 patients who received care either at Massachusetts General Hospital (MGH) or Brigham and Women’s Hospital (BWH) between 1992 and 2010. We extracted 68 variables from the electronic medical records (EMRs), including demographics, laboratory values, diagnosis codes, and medications. We then used a regularized logistic regression to select the most informative variables and created a risk score that comprises the selected variables. To evaluate the potential for generalizability of our score, we applied it on all cirrhosis-related admissions between 2010 and 2015 at an independent EMR data source of more than 18 million patients, pooled from different health-care systems with EMRs. We calculated the areas under the receiver operating characteristic curves (AUROCs) to assess prediction performance. RESULTS: We identified 4,781 cirrhosis-related admissions at MGH/BWH hospitals, of which 778 resulted in death within 90 days of discharge. Nine variables were the most effective predictors for 90-day mortality, and these included all MELD-Na’s components, as well as albumin, total cholesterol, white blood cell count, age, and length of stay. Applying our nine-variable risk score (denoted as “MELD-Plus”) resulted in an improvement over MELD and MELD-Na scores in several prediction models. On the MGH/BWH 90-day model, MELD-Plus improved the performance of MELD-Na by 11.4% (0.78 [95% CI, 0.75–0.81] versus 0.70 [95% CI, 0.66–0.73]). In the MGH/BWH approximate 1-year model, MELD-Plus improved the performance of MELD-Na by 8.3% (0.78 [95% CI, 0.76–0.79] versus 0.72 [95% CI, 0.71–0.73]). Performance improvement was similar when the novel MELD-Plus risk score was applied to an independent database; when considering 24,042 cirrhosis-related admissions, MELD-Plus improved the performance of MELD-Na by 16.9% (0.69 [95% CI, 0.69–0.70] versus 0.59 [95% CI, 0.58–0.60]). CONCLUSIONS: We developed a new risk score, MELD-Plus that accurately stratifies the short-term mortality of patients with established cirrhosis, following a hospital admission. Our findings demonstrate that using a small set of easily accessible structured variables can help identify novel predictors of outcomes in cirrhosis patients and improve the performance of widely used traditional risk scores. Public Library of Science 2017-10-25 /pmc/articles/PMC5656314/ /pubmed/29069090 http://dx.doi.org/10.1371/journal.pone.0186301 Text en © 2017 Kartoun et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kartoun, Uri
Corey, Kathleen E.
Simon, Tracey G.
Zheng, Hui
Aggarwal, Rahul
Ng, Kenney
Shaw, Stanley Y.
The MELD-Plus: A generalizable prediction risk score in cirrhosis
title The MELD-Plus: A generalizable prediction risk score in cirrhosis
title_full The MELD-Plus: A generalizable prediction risk score in cirrhosis
title_fullStr The MELD-Plus: A generalizable prediction risk score in cirrhosis
title_full_unstemmed The MELD-Plus: A generalizable prediction risk score in cirrhosis
title_short The MELD-Plus: A generalizable prediction risk score in cirrhosis
title_sort meld-plus: a generalizable prediction risk score in cirrhosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5656314/
https://www.ncbi.nlm.nih.gov/pubmed/29069090
http://dx.doi.org/10.1371/journal.pone.0186301
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