meldmodelforendstageliverdiseasescore

由PSKamath著作·2007·被引用1915次—TheModelforEnd-stageLiverDisease(MELD)wasinitiallycreatedtopredictsurvivalinpatientswithcomplicationsofportalhypertensionundergoing ...,由AKSingal著作·2013·被引用164次—Modelforend-stageliverdisease(MELD)score,initiallydevelopedtopredictsurvivalfollowingtransjugularintrahepaticportosystemicshuntwas ...,由RWiesner著作·2003·被引用2978次—Methods:TheMELDmodelpredict...

The model for end

由 PS Kamath 著作 · 2007 · 被引用 1915 次 — The Model for End-stage Liver Disease (MELD) was initially created to predict survival in patients with complications of portal hypertension undergoing ...

Model for End

由 AK Singal 著作 · 2013 · 被引用 164 次 — Model for end-stage liver disease (MELD) score, initially developed to predict survival following transjugular intrahepatic portosystemic shunt was ...

Model for end

由 R Wiesner 著作 · 2003 · 被引用 2978 次 — Methods: The MELD model predicts liver disease severity based on serum creatinine, serum total bilirubin, and INR and has been shown to be useful in predicting ...

Model for End

由 J Fung 著作 · 2020 · 被引用 8 次 — Patients with MELD ≥ 28 should be worked up for liver transplantation, and those with MELD = 28-32 with three to four at-risk criteria, or MELD ≥ 32 should be ...

MELD 3.0: The Model for End

由 WR Kim 著作 · 2021 · 被引用 181 次 — The current version of the MELD score, commonly referred to as MELDNa, incorporates serum concentrations of total bilirubin, creatinine, and ...

MELD Na (UNOSOPTN)

The MELD Score (Model For End-Stage Liver Disease) (12 and older) quantifies end-stage liver disease for transplant planning.

Model for End Stage Liver Disease (MELD) Score

由 I Emenena 著作 · 2023 — The MELD score was found to have high sensitivity, specificity, and PPV to predict 1-month mortality among the patients with decompensated liver ...

Model for End-stage Liver Disease (MELD)

由 K Bambha 著作 · 被引用 17 次 — Model for End-stage Liver Disease (MELD) ... The original MELD score is a prospectively developed and validated chronic liver disease severity ...