FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2044178566> ?p ?o ?g. }

• W2044178566 endingPage "113" @default.
• W2044178566 startingPage "109" @default.
• W2044178566 abstract "Background & AimsPregnancy-specific liver diseases such as acute fatty liver of pregnancy; hemolysis, elevated liver enzymes and low platelet syndrome; and preeclampsia-associated liver disease are associated with considerable morbidity and mortality. We investigated the ability of the model for end-stage liver disease (MELD) to predict 1-month mortality among patients with pregnancy-specific liver diseases. We also developed and tested a model to predict mortality based on features of pregnancy-specific liver diseases.MethodsWe performed a retrospective study, analyzing hospital admission, clinical, hematologic, and biochemical data collected from 130 patients with pregnancy-specific liver diseases admitted to the St. John's Medical College Hospital (Bangalore, India) from January 2000 through April 2011. Patients were followed up until 3 months after delivery or death. Logistic regression models were fitted using the MELD score and other variables identified as clinically or statistically significant. The predictive accuracy and calibration of the models were assessed by receiver operating characteristic curves and the Hosmer–Lemeshow goodness-of-fit test.ResultsThirty-two patients (24.6%) died. Mortalities from pregnancy-specific liver diseases within 1 month of admission among patients with MELD scores of 20 to 29, 30 to 39, or 40 or greater were 24.2%, 45.45%, and 90.9%, respectively. Univariate analysis identified encephalopathy, ascites, serum total protein, bilirubin, platelet count, alkaline phosphatase, serum creatinine, and international normalized ratio (INR) as significant variables. Multivariate analysis identified total bilirubin (P < .001) and INR (P < .003) as significant predictors of mortality. MELD score and a model based on only 2 variables (bilirubin level and INR) accurately predicted mortality (C statistics, 0.83 and 0.86, respectively) and were well calibrated (Hosmer–Lemeshow χ2 = 9.7 [P = .28] and 1.9 [P = .98], respectively).ConclusionsA new logistic model based on only 2 variables (INR and total bilirubin) was comparable with the MELD model in predicting mortality among women with pregnancy-specific liver diseases. Pregnancy-specific liver diseases such as acute fatty liver of pregnancy; hemolysis, elevated liver enzymes and low platelet syndrome; and preeclampsia-associated liver disease are associated with considerable morbidity and mortality. We investigated the ability of the model for end-stage liver disease (MELD) to predict 1-month mortality among patients with pregnancy-specific liver diseases. We also developed and tested a model to predict mortality based on features of pregnancy-specific liver diseases. We performed a retrospective study, analyzing hospital admission, clinical, hematologic, and biochemical data collected from 130 patients with pregnancy-specific liver diseases admitted to the St. John's Medical College Hospital (Bangalore, India) from January 2000 through April 2011. Patients were followed up until 3 months after delivery or death. Logistic regression models were fitted using the MELD score and other variables identified as clinically or statistically significant. The predictive accuracy and calibration of the models were assessed by receiver operating characteristic curves and the Hosmer–Lemeshow goodness-of-fit test. Thirty-two patients (24.6%) died. Mortalities from pregnancy-specific liver diseases within 1 month of admission among patients with MELD scores of 20 to 29, 30 to 39, or 40 or greater were 24.2%, 45.45%, and 90.9%, respectively. Univariate analysis identified encephalopathy, ascites, serum total protein, bilirubin, platelet count, alkaline phosphatase, serum creatinine, and international normalized ratio (INR) as significant variables. Multivariate analysis identified total bilirubin (P < .001) and INR (P < .003) as significant predictors of mortality. MELD score and a model based on only 2 variables (bilirubin level and INR) accurately predicted mortality (C statistics, 0.83 and 0.86, respectively) and were well calibrated (Hosmer–Lemeshow χ2 = 9.7 [P = .28] and 1.9 [P = .98], respectively). A new logistic model based on only 2 variables (INR and total bilirubin) was comparable with the MELD model in predicting mortality among women with pregnancy-specific liver diseases." @default.
• W2044178566 created "2016-06-24" @default.
• W2044178566 creator A5004769655 @default.
• W2044178566 creator A5027423486 @default.
• W2044178566 creator A5032365206 @default.
• W2044178566 creator A5056354966 @default.
• W2044178566 creator A5087140352 @default.
• W2044178566 date "2014-01-01" @default.
• W2044178566 modified "2023-10-14" @default.
• W2044178566 title "Factors That Predict 1-Month Mortality in Patients With Pregnancy-Specific Liver Disease" @default.
• W2044178566 cites W1497354373 @default.
• W2044178566 cites W1967300023 @default.
• W2044178566 cites W1983687348 @default.
• W2044178566 cites W1997031349 @default.
• W2044178566 cites W2003397776 @default.
• W2044178566 cites W2009388851 @default.
• W2044178566 cites W2010404502 @default.
• W2044178566 cites W2031780611 @default.
• W2044178566 cites W2047827582 @default.
• W2044178566 cites W2054452529 @default.
• W2044178566 cites W2055397215 @default.
• W2044178566 cites W2058723834 @default.
• W2044178566 cites W2058864990 @default.
• W2044178566 cites W2069243984 @default.
• W2044178566 cites W2073048831 @default.
• W2044178566 cites W2074810065 @default.
• W2044178566 cites W2086695142 @default.
• W2044178566 cites W2117143019 @default.
• W2044178566 cites W2145882262 @default.
• W2044178566 cites W2145917688 @default.
• W2044178566 cites W2160406623 @default.
• W2044178566 cites W2335787889 @default.
• W2044178566 cites W2337873021 @default.
• W2044178566 cites W4230468493 @default.
• W2044178566 cites W4367590719 @default.
• W2044178566 cites W64209544 @default.
• W2044178566 doi "https://doi.org/10.1016/j.cgh.2013.06.018" @default.
• W2044178566 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23856360" @default.
• W2044178566 hasPublicationYear "2014" @default.
• W2044178566 type Work @default.
• W2044178566 sameAs 2044178566 @default.
• W2044178566 citedByCount "32" @default.
• W2044178566 countsByYear W20441785662014 @default.
• W2044178566 countsByYear W20441785662015 @default.
• W2044178566 countsByYear W20441785662016 @default.
• W2044178566 countsByYear W20441785662017 @default.
• W2044178566 countsByYear W20441785662018 @default.
• W2044178566 countsByYear W20441785662019 @default.
• W2044178566 countsByYear W20441785662020 @default.
• W2044178566 countsByYear W20441785662021 @default.
• W2044178566 countsByYear W20441785662022 @default.
• W2044178566 countsByYear W20441785662023 @default.
• W2044178566 crossrefType "journal-article" @default.
• W2044178566 hasAuthorship W2044178566A5004769655 @default.
• W2044178566 hasAuthorship W2044178566A5027423486 @default.
• W2044178566 hasAuthorship W2044178566A5032365206 @default.
• W2044178566 hasAuthorship W2044178566A5056354966 @default.
• W2044178566 hasAuthorship W2044178566A5087140352 @default.
• W2044178566 hasBestOaLocation W20441785661 @default.
• W2044178566 hasConcept C126322002 @default.
• W2044178566 hasConcept C144301174 @default.
• W2044178566 hasConcept C167135981 @default.
• W2044178566 hasConcept C2777075537 @default.
• W2044178566 hasConcept C2777218350 @default.
• W2044178566 hasConcept C2777774211 @default.
• W2044178566 hasConcept C2779234561 @default.
• W2044178566 hasConcept C2779250428 @default.
• W2044178566 hasConcept C2779609443 @default.
• W2044178566 hasConcept C2780306776 @default.
• W2044178566 hasConcept C2780496750 @default.
• W2044178566 hasConcept C2911091166 @default.
• W2044178566 hasConcept C38180746 @default.
• W2044178566 hasConcept C46973012 @default.
• W2044178566 hasConcept C512861765 @default.
• W2044178566 hasConcept C54355233 @default.
• W2044178566 hasConcept C71924100 @default.
• W2044178566 hasConcept C86803240 @default.
• W2044178566 hasConcept C90924648 @default.
• W2044178566 hasConceptScore W2044178566C126322002 @default.
• W2044178566 hasConceptScore W2044178566C144301174 @default.
• W2044178566 hasConceptScore W2044178566C167135981 @default.
• W2044178566 hasConceptScore W2044178566C2777075537 @default.
• W2044178566 hasConceptScore W2044178566C2777218350 @default.
• W2044178566 hasConceptScore W2044178566C2777774211 @default.
• W2044178566 hasConceptScore W2044178566C2779234561 @default.
• W2044178566 hasConceptScore W2044178566C2779250428 @default.
• W2044178566 hasConceptScore W2044178566C2779609443 @default.
• W2044178566 hasConceptScore W2044178566C2780306776 @default.
• W2044178566 hasConceptScore W2044178566C2780496750 @default.
• W2044178566 hasConceptScore W2044178566C2911091166 @default.
• W2044178566 hasConceptScore W2044178566C38180746 @default.
• W2044178566 hasConceptScore W2044178566C46973012 @default.
• W2044178566 hasConceptScore W2044178566C512861765 @default.
• W2044178566 hasConceptScore W2044178566C54355233 @default.
• W2044178566 hasConceptScore W2044178566C71924100 @default.
• W2044178566 hasConceptScore W2044178566C86803240 @default.
• W2044178566 hasConceptScore W2044178566C90924648 @default.
• W2044178566 hasIssue "1" @default.

• next