Literature DB >> 31115939

Augmented intelligence decision tool for stroke prediction combines factors from CHA2 DS2 -VASc and the intermountain risk score for patients with atrial fibrillation.

Benjamin D Horne1,2, Victoria Jacobs1, Heidi T May1, Kevin G Graves1, T Jared Bunch1,3.   

Abstract

INTRODUCTION: CHA2 DS2 -VASc and CHADS2 are computationally simple risk prediction tools used to guide anticoagulation decisions for stroke prophylaxis, but they have modest risk discrimination ability and use static dichotomous variables. The Intermountain Mortality Risk Scores (IMRS) are dynamic decision tools using standard clinical laboratory tests. This study derived new stroke prediction scores using variables from both CHA2 DS2 -VASc and IMRS. METHODS AND
RESULTS: In outpatients with first atrial fibrillation (AF) diagnosis at the Intermountain Healthcare (females, n = 26 063 males, n = 29 807), sex-specific "IMRS-VASc" scores were derived using variables from CHA2 DS2 -VASc, warfarin use, the complete blood count, and the comprehensive metabolic profile. Validation was performed in an independent Intermountain outpatient AF cohort (females, n = 11 021; males, n = 12 641). Stroke occurred among 3.1% and 3.1% of females and 2.3% and 2.5% of males in derivation and validation groups, respectively. IMRS-VASc stratified stroke with similar ability in derivation (c-statistics, females: c = 0.703, males: c = 0.697) and validation groups (females: c = 0.681, males: c = 0.685). CHA2 DS2 -VASc (females: c = 0.581 and c = 0.605; males: c = 0.616 and c = 0.613 in derivation and validation, respectively) and CHADS2 (females: c = 0.581 and c = 0.608; males: c = 0.620 and c = 0.621 in derivation and validation, respectively) were substantially weaker stroke predictors. IMRS was the strongest mortality predictor (females: c = 0.783 and c = 0.782; males: c = 0.796 and c = 0.794 in derivation and validation, respectively) and all scores were poor at predicting bleeding risk.
CONCLUSIONS: A temporally dynamic risk score, IMRS-VASc was derived and validated as a predictor of stroke in outpatients with AF. IMRS-VASc requires further validation and the evaluation of its use in guiding care and treatment decisions for patients with AF.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  IMRS; IMRS-VASc; clinical decision tool; learning health system; risk stratification

Year:  2019        PMID: 31115939     DOI: 10.1111/jce.13999

Source DB:  PubMed          Journal:  J Cardiovasc Electrophysiol        ISSN: 1045-3873


  2 in total

1.  Predicting postdischarge hospital-associated venous thromboembolism among medical patients using a validated mortality risk score derived from common biomarkers.

Authors:  Lindsey Snyder; Scott M Stevens; Masarret Fazili; Emily L Wilson; James F Lloyd; Benjamin D Horne; Joseph Bledsoe; Scott C Woller
Journal:  Res Pract Thromb Haemost       Date:  2020-05-20

2.  Association of the Intermountain Risk Score with major adverse health events in patients positive for COVID-19: an observational evaluation of a US cohort.

Authors:  Benjamin D Horne; Joseph R Bledsoe; Joseph B Muhlestein; Heidi T May; Ithan D Peltan; Brandon J Webb; John F Carlquist; Sterling T Bennett; Susan Rea; Tami L Bair; Colin K Grissom; Stacey Knight; Brianna S Ronnow; Viet T Le; Edward Stenehjem; Scott C Woller; Kirk U Knowlton; Jeffrey L Anderson
Journal:  BMJ Open       Date:  2022-03-24       Impact factor: 2.692

  2 in total

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