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STABLE score risk calculator

This is a quantitative risk score model for recipient risk stratification of patients on ECMO bridge to lung transplant

This is a quantitative risk score model for recipient risk stratification of patients on ECMO bridge to lung transplant

STABLE score risk calculator

by Andreas Habertheuer
STABLE score risk calculator
STABLE score risk calculator
STABLE score risk calculator

What is it about?

This is a quantitative risk score model for recipient risk stratification of patients on ECMO bridge to lung transplant. The calculator is based on data from the United Network for Organ Sharing (UNOS) since 2004 and comprises 660 adult patients awaiting lung transplantation.

STABLE score risk calculator

App Details

Version
1.1
Rating
(1)
Size
10Mb
Genre
Medical
Last updated
May 24, 2019
Release date
April 3, 2019
More info

App Screenshots

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App Store Description

This is a quantitative risk score model for recipient risk stratification of patients on ECMO bridge to lung transplant. The calculator is based on data from the United Network for Organ Sharing (UNOS) since 2004 and comprises 660 adult patients awaiting lung transplantation.
All recipient specific pre-transplant variables with plausibility for predicting in-hospital mortality were tested using univariate regression. These variables included: Age, gender, BMI, recipient functional status, days on waitlist, transplant center size, mechanical ventilation, liver function (total bilirubin), kidney function (creatinine and need for dialysis) and major diagnosis codes (CODP/ emphysema, idiopathic pulmonary fibrosis, pulmonary hypertension). All potential explanatory variables were assessed for collinearity. Continuous variables were explored for linearity by considering as quartiles before being converted into categorical variables for practical purposes. Those associated with in-hospital mortality on exploratory analysis (p ≤ 0.2) were incorporated into a multivariable logistic regression model. Final model was constructed using automated stepwise backward regression and contained factors that improved explanatory power as assessed by likelihood ratio test, C-statistics and Hosmer-Lemeshow goodness of fit. From the final logistic model, a linear prediction was used to apportion a 27-point recipient risk score

This project was approved by United Network for Organ Sharing (UNOS).

Data presented at the the 29th Annual Meeting of the International Society for Heart and Lung Transplantation, Orlando, FL.

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