Source:http://linkedlifedata.com/resource/pubmed/id/19010157
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
9
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| pubmed:dateCreated |
2008-11-17
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| pubmed:abstractText |
Postoperative Model for End-stage Liver Disease (MELD) values have never been assessed to predict very early (<1 week) death after liver transplantation (OLT). We retrospectively reviewed 275 consecutive OLTs performed in 252 recipients reported in a prospective database. We calculated the MELD score (pre-MELD) and consecutive postoperative MELD (post-MELD) scores computed daily during the first postoperative week and on days 15 and 30 after OLT. Post-MELD scores from nonsurviving recipients displayed on a scatterplot of immediate probability of death were adjusted to the best goodness-of-fit curve, and, finally, depicted graphically as a receiver operating characteristic (ROC) curve. Nonsurviving recipients showed higher post-MELD scores: day 1: 23.5 versus 16.6 (P = .05); day 3: 25.1 versus 12.5 (P = .000); day 5: 25.7 versus 11.8 (P = .000); and day 7: 22.1 versus 10.2 (P = .000). Overall comparisons were performed using a time-dependent general linear regression model, revealing higher post-MELD scores for nonsurviving recipients, irrespective of postoperative time (P = .002). The best goodness-of-fit curve was displayed when adjusting to a theoretical exponential regression curve calculated as follows: Probability of dying within the first week (%) = 3.36 x e(0.079 x (post-MELD)) (r = .89; P = .000). The area under the ROC curve was 0.783 (95% confidence interval, 0.630-0.935; P = .001). The model had a positive predictive value of 82.3%, a negative predictive value of 33.1%, and an accuracy of 79.2%. In conclusion, this study corroborated the suggestion that the MELD score may serve as a reliable tool to assess very early death after OLT.
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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:citationSubset |
IM
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| pubmed:status |
MEDLINE
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| pubmed:month |
Nov
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| pubmed:issn |
0041-1345
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| pubmed:author | |
| pubmed:issnType |
Print
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| pubmed:volume |
40
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
2952-4
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| pubmed:meshHeading |
pubmed-meshheading:19010157-Adolescent,
pubmed-meshheading:19010157-Adult,
pubmed-meshheading:19010157-Aged,
pubmed-meshheading:19010157-Confidence Intervals,
pubmed-meshheading:19010157-Databases, Factual,
pubmed-meshheading:19010157-Female,
pubmed-meshheading:19010157-Humans,
pubmed-meshheading:19010157-Liver Failure,
pubmed-meshheading:19010157-Liver Transplantation,
pubmed-meshheading:19010157-Male,
pubmed-meshheading:19010157-Middle Aged,
pubmed-meshheading:19010157-Postoperative Period,
pubmed-meshheading:19010157-Predictive Value of Tests,
pubmed-meshheading:19010157-Preoperative Care,
pubmed-meshheading:19010157-Probability,
pubmed-meshheading:19010157-ROC Curve,
pubmed-meshheading:19010157-Reoperation,
pubmed-meshheading:19010157-Retrospective Studies,
pubmed-meshheading:19010157-Survival Rate,
pubmed-meshheading:19010157-Survivors,
pubmed-meshheading:19010157-Treatment Failure,
pubmed-meshheading:19010157-Treatment Outcome,
pubmed-meshheading:19010157-Young Adult
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| pubmed:year |
2008
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| pubmed:articleTitle |
Model for end-stage liver disease can predict very early outcome after liver transplantation.
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| pubmed:affiliation |
Liver Transplantation Unit, Hospital Reina Sofía, Cordoba, Spain. javibriceno@hotmail.com
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| pubmed:publicationType |
Journal Article
|