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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
3
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pubmed:dateCreated |
2010-6-7
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pubmed:abstractText |
Acute kidney injury (AKI) is a common complication in the early period after liver transplantation (LT), posing an enormous obstacle to treatment efficiency and patient survival. However, the exact influencing factors of AKI are still unclear and a predictive model is desperately required in the clinic.
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:month |
Jun
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pubmed:issn |
1499-3872
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pubmed:author |
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pubmed:issnType |
Print
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pubmed:volume |
9
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
259-63
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pubmed:dateRevised |
2010-11-18
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pubmed:meshHeading |
pubmed-meshheading:20525552-Acute Disease,
pubmed-meshheading:20525552-Adult,
pubmed-meshheading:20525552-Biological Markers,
pubmed-meshheading:20525552-China,
pubmed-meshheading:20525552-Creatinine,
pubmed-meshheading:20525552-Female,
pubmed-meshheading:20525552-Humans,
pubmed-meshheading:20525552-Hypotension,
pubmed-meshheading:20525552-Kaplan-Meier Estimate,
pubmed-meshheading:20525552-Kidney Diseases,
pubmed-meshheading:20525552-Liver Diseases,
pubmed-meshheading:20525552-Liver Transplantation,
pubmed-meshheading:20525552-Logistic Models,
pubmed-meshheading:20525552-Male,
pubmed-meshheading:20525552-Middle Aged,
pubmed-meshheading:20525552-Models, Biological,
pubmed-meshheading:20525552-Norepinephrine,
pubmed-meshheading:20525552-Odds Ratio,
pubmed-meshheading:20525552-Predictive Value of Tests,
pubmed-meshheading:20525552-Prevalence,
pubmed-meshheading:20525552-Prospective Studies,
pubmed-meshheading:20525552-Reproducibility of Results,
pubmed-meshheading:20525552-Retrospective Studies,
pubmed-meshheading:20525552-Risk Assessment,
pubmed-meshheading:20525552-Risk Factors,
pubmed-meshheading:20525552-Sensitivity and Specificity,
pubmed-meshheading:20525552-Time Factors,
pubmed-meshheading:20525552-Treatment Outcome,
pubmed-meshheading:20525552-Urodynamics
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pubmed:year |
2010
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pubmed:articleTitle |
An effective model for predicting acute kidney injury after liver transplantation.
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pubmed:affiliation |
Department of Hepatobiliary and Pancreatic Surgery, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't,
Validation Studies
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