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Can I read Sarco‐Model: A score to predict the dropout risk in the perspective of organ allocation in patients awaiting liver transplantation on EtoBox?

Sarco‐Model: A score to predict the dropout risk in the perspective of organ allocation in patients awaiting liver transplantation by Quirino Lai; Paolo Magistri; Raffaella Lionetti; Alfonso W. Avolio; Ilaria Lenci; Valerio Giannelli; Annarita Pecchi; Flaminia Ferri; Giuseppe Marrone; Mario Angelico; Martina Milana; Vincenzo Schinniná; Renata Menozzi; Michele Di Martino; Antonio Grieco; Tommaso M. Manzia; Giuseppe Tisone; Salvatore Agnes; Massimo Rossi; Fabrizio Di Benedetto; Giuseppe M. Ettorre; Fabio P. Curci; Francesco Giovanardi; Gianluca Mennini; Stefano Ginanni Corradini; Manuela Merli; Cristiano Guidetti; Giacomo Assirati; Laura Po; Francesco Prampolini; Nicola De Maria; Gianpiero D'Offizi; Alessandro Cina; Pierluigi Barbieri; Marco Biolato; Marco M. Pascale; Adriano Pellicelli; Federica Falasca; Marco Colasanti; Giovanni B. Levi Sandri; the Sarco‐Model Study Group is a Medicine article available to read on EtoBox.

What is Sarco‐Model: A score to predict the dropout risk in the perspective of organ allocation in patients awaiting liver transplantation about?

## Background & aims: Sarcopenia in liver transplantation (lt) cirrhotic candidates has been connected with higher dropouts and graft losses after transplant. the study aims to create an 'urgency' model combining sarcopenia and model for end-stage liver disease sodium (meldna) to predict the risk of dropout and identify an appropriate threshold of post-lt futility. ## Methods: A total of 1087 adult cirrhotic patients were listed for a first lt during january 2012 to december 2018. the study population was split into a training (n = 855) and a validation set (n = 232). ## Results: Using a competing-risk analysis of cause-specific hazards, we created the sarco-model . according to the model, one extra point of meldna was added for each 0.5 cm /m reduction of total psoas area (tpa) < 6.0 cm /m . at external validation, the sarco-model showed the best diagnostic ability for predicting the risk of 3-month dropout in patients with meldna < 20 (area under the curve [auc] = 0.93; p = .003). using the net reclassification improvement, 14.3% of dropped-out patients were correctly reclassified using the sarco-model . as for the futility threshold, transplanted patients with tpa < 6.0 cm /m an

Who reads Sarco‐Model: A score to predict the dropout risk in the perspective of organ allocation in patients awaiting liver transplantation?

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Author
Quirino Lai; Paolo Magistri; Raffaella Lionetti; Alfonso W. Avolio; Ilaria Lenci; Valerio Giannelli; Annarita Pecchi; Flaminia Ferri; Giuseppe Marrone; Mario Angelico; Martina Milana; Vincenzo Schinniná; Renata Menozzi; Michele Di Martino; Antonio Grieco; Tommaso M. Manzia; Giuseppe Tisone; Salvatore Agnes; Massimo Rossi; Fabrizio Di Benedetto; Giuseppe M. Ettorre; Fabio P. Curci; Francesco Giovanardi; Gianluca Mennini; Stefano Ginanni Corradini; Manuela Merli; Cristiano Guidetti; Giacomo Assirati; Laura Po; Francesco Prampolini; Nicola De Maria; Gianpiero D'Offizi; Alessandro Cina; Pierluigi Barbieri; Marco Biolato; Marco M. Pascale; Adriano Pellicelli; Federica Falasca; Marco Colasanti; Giovanni B. Levi Sandri; the Sarco‐Model Study Group
Publisher
Wiley
Published
2021
Language
EN
Field
Medicine (Health Sciences)