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Ability of King's College Criteria and Model for End-Stage Liver Disease Scores to Predict Mortality of Patients With Acute Liver Failure: A Meta-analysis

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TLDR
Based on a meta-analysis of studies, the KCC more accurately predicts hospital mortality among patients with AALF, whereas MELD scores more accurately predict mortalityamong patients with NAALF.
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This article is published in Clinical Gastroenterology and Hepatology.The article was published on 2016-04-01 and is currently open access. It has received 91 citations till now. The article focuses on the topics: King's College Criteria & Model for End-Stage Liver Disease.

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Citations
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Elevated FABP1 serum levels are associated with poorer survival in acetaminophen-induced acute liver failure.

TL;DR: FABP 1 may have good potential to discriminate survivors from nonsurvivors and may improve models currently used in clinical practice; validation of FABP1 as a clinical prediction tool in APAP‐ALF warrants further investigation.
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Drug-induced acute liver failure in children and adults: Results of a single-centre study of 128 patients.

TL;DR: This work reviewed the implicated drugs, clinical features, laboratory characteristics and outcome of patients with drug‐induced ALF (DIALF), and analysed the predictors of mortality and their relationship with MELD, KCC, and ALFSG prognostic index.
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Modern Management of Acute Liver Failure.

TL;DR: The mainstay of acute liver failure management remains supportive care in the critical care setting, and if supportive treatment does not stabilize the disease process, the patient may require emergent liver transplantation.
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Acute liver failure: A review for emergency physicians.

TL;DR: Using a pathophysiological‐guided approach to the management of ALF associated complications is essential to optimizing patient care and identifying the underlying etiology and initiating symptomatic care is imperative.
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Systematic review: non A-E, seronegative or indeterminate hepatitis; what is this deadly disease?

TL;DR: A significant proportion of cases of acute liver failure (ALF) do not have an identifiable cause; so called “ non A‐E,” “non A, non B, non C,’ “seronegative” or “indeterminate” hepatitis is clinically not well described.
References
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Measuring inconsistency in meta-analyses

TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
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A model to predict survival in patients with end‐stage liver disease

TL;DR: The MELD scale is a reliable measure of mortality risk in patients with end‐stage liver disease and suitable for use as a disease severity index to determine organ allocation priorities in patient groups with a broader range of disease severity and etiology.
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A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts.

TL;DR: This Mayo TIPS model may predict early death following elective TIPS for either prevention of variceal rebleeding or for treatment of refractory ascites, superior to both the Child‐Pugh classification and the Child-Pugh score in predicting survival.
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The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed.

TL;DR: The effective sample size funnel plot and associated regression test of asymmetry should be used to detect publication bias and other sample size related effects in meta-analyses of test accuracy.
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Frequently Asked Questions (2)
Q1. What have the authors contributed in "Meta-analysis of king's college criteria and model for end stage liver disease to predict outcome in acute liver failure" ?

The authors assessed the accuracy of King 's College Criteria ( KCC ) versus the Model-forEnd-Stage-Liver-Disease ( MELD ) in ALF through meta-analysis of studies which report the accuracy of both tests. 

The authors hope these data help inform such decisions and future research. A worsening grade of HE can be detected at the bedside and incorporated into KCC without awaiting further biochemical analysis.