Results 51 to 60 of about 106,309 (302)

Correlation of Sarcopenia with Etiologies of Liver Cirrhosis and Its Association with Child-Pugh and MELD Scores

open access: yesNational Board of Examinations Journal of Medical Sciences
Background: Sarcopenia, defined by the progressive decline in muscle mass and strength, is a common yet often overlooked complication in individuals with liver cirrhosis. The extent of muscle loss varies based on the underlying cause of cirrhosis and may
Navpreet Kaur Batth   +4 more
doaj   +1 more source

Hollow Heaps [PDF]

open access: yes, 2015
We introduce the hollow heap, a very simple data structure with the same amortized efficiency as the classical Fibonacci heap. All heap operations except delete and delete-min take $O(1)$ time, worst case as well as amortized; delete and delete-min take $
E. Tarjan   +4 more
core   +1 more source

Biolipid Film‐Fused Electrochemiluminescence for Multipurpose In Situ Bioassays

open access: yesAdvanced Science, EarlyView.
An ECL‐emissive, membrane‐interactive scaffold was fabricated, and facilely fused with natural and non‐native phospholipids into multifactorial mimicries of cytomembranes and vesicles for in vitro representative membrane‐process probing. Such a biointerface‐based, state‐sensitive ECL paradigm not only pinpointed proximal phenomena, including channeling
Jialiang Chen   +9 more
wiley   +1 more source

MELD calibration [PDF]

open access: yesAmerican Journal of Transplantation, 2021
Gennaro D’Amico, Luigi Maruzzelli
openaire   +2 more sources

Predictors of Acute Liver Failure in Patients With Acute Hepatitis A: An Analysis of the 2016-2018 San Diego County Hepatitis A Outbreak. [PDF]

open access: yes, 2019
Background:Between 2016 and 2018, San Diego County experienced a hepatitis A outbreak with a historically high mortality rate (3.4%) that highlighted the need for early recognition of those at risk of developing acute liver failure (ALF).
Greenwald, Holly S   +6 more
core   +1 more source

Model of end stage liver disease (MELD) score greater than 23 predicts length of stay in the ICU but not mortality in liver transplant recipients [PDF]

open access: yes, 2010
INTRODUCTION: The impact of model of end stage liver disease (MELD) score on postoperative morbidity and mortality is still elusive, especially for high MELD.
Christian E Oberkofler   +6 more
core   +2 more sources

Association Between Liver Function Grade and Post‐Hepatectomy Liver Failure in Patients With Hepatocellular Carcinoma: A Latent Class Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
We retrospectively analyzed clinical data from patients who underwent hepatectomy for hepatocellular carcinoma (HCC) using LCA‐based grading system. These findings provide a new risk stratification framework for the design of precision surgery to treat patients with HCC.
Ling Liu   +5 more
wiley   +1 more source

Disparities in the Effects of Acuity Circle–based Liver Allocation on Waitlist and Transplant Practice Between Centers

open access: yesTransplantation Direct, 2022
Background. Liver allocation in the United States was updated on February 4, 2020, by introducing the acuity circle (AC)–based model. This study evaluated the early effects of the AC-based allocation on waitlist outcomes. Methods. Adult liver transplant (
Shunji Nagai, MD, PhD   +9 more
doaj   +1 more source

The Use of Palliative Performance Score in Patients with End-Stage Liver Disease [PDF]

open access: yes, 2017
● Palliative Care services are often underutilized in patients with End-Stage Liver Disease (ESLD) and often only initiated at the end of life ● The Palliative Performance Score (PPS) is an important tool used in Palliative Care to assess functional ...
Fenkel, MD, Jonathan M.   +5 more
core   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy