Can Clinical Predictive Models Identify Patients Who Should Not Receive TAVR? A Systematic Review.

ABSTRACT:

Background

One third of high- and prohibitive-risk TAVR patients remain severely symptomatic or die 1 year after treatment. There is interest in identifying individuals for whom this procedure is futile and should not be offered.

Methods

We performed a systematic review of the highest reported stratum of risk in TAVR clinical predictive models (CPMs). We explore whether currently available predictive models can identify patients for whom TAVR is futile, based on a quantitative futility definition and the observed and predicted outcomes for patients in the highest stratum of risk.

Results

17 TAVR CPMs representing 69,191 treated patients were published from 2013 to 2018. When reported, the median number of patients in the highest stratum of risk was 569 (range 1 to 175

SUBMITTER: Wessler BS 

PROVIDER: S-EPMC7469888 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature