Validation and Recalibration of Two Multivariable Prognostic Models for Survival and Independence in Acute Stroke.

ABSTRACT:

Introduction

Various prognostic models have been developed for acute stroke, including one based on age and five binary variables ('six simple variables' model; SSVMod) and one based on age plus scores on the National Institutes of Health Stroke Scale (NIHSSMod). The aims of this study were to externally validate and recalibrate these models, and to compare their predictive ability in relation to both survival and independence.

Methods

Data from a large clinical trial of oxygen therapy (n = 8003) were used to determine the discrimination and calibration of the models, using C-statistics, calibration plots, and Hosmer-Lemeshow statistics. Methods of recalibration in the large and logistic recalibration were used to update the models.

Results

For discrimination, both mo

SUBMITTER: Sim J 

PROVIDER: S-EPMC4881958 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature