TY - JOUR
T1 - Stratifying the Utility of Transthoracic Echocardiography for Ischemic Stroke Using a Risk Score
AU - Jani, Neel D.
AU - Basinger, Haley
AU - Jones, Ann M.
AU - Sattin, Justin A.
AU - Struck, Aaron F.
N1 - Publisher Copyright:
© 2025 S. Karger AG. All rights reserved.
PY - 2025
Y1 - 2025
N2 - Introduction: Inpatient transthoracic echocardiography (TTE) is considered to be an important part of secondary prevention in acute ischemic stroke, but can be a barrier to discharge. The goal of the study was to generate a risk score to assess which patients will benefit from a TTE in the inpatient setting. Methods: The training data set consisted of all 874 patients from the UW Health Comprehensive Stroke Registry admitted for acute ischemic stroke/transient ischemic attack (TIA) from 2017 to 2018 that received a TTE. A validation data set of 200 stroke patients was used from the Indiana University Stroke Registry. Using the training data, a modified logistic regression model was developed with simplified coefficients and a limited number of variables. The area under the receiver operator characteristic curve (AUC) was compared between different models and between the training and validation data sets. Results: The training data consisted of 874 patients (52.97% male; median age 64 years). Validation data set consisted of 200 patients (53.5% male; median age, 64 years). For the final model, termed AL2OHA, mean AUC on the training data across five-fold cross validation was 0.78 (95% CI, 0.76 0.80). The model consisted of six variables, and one point was awarded for each: atrial fibrillation, large artery atherosclerosis, large vessel occlusion, obesity, prior antihypertensive medication use, and if the patient s age was 18 39 or =70. Risk of positive findings was 6.2% for score of 0, 23.1% for score of 1, 57.4% for score of 2, 85.8%for score of 3, 96.4% for score of 4, and 99.2% for score of 5 or greater. When tested on the external validation data set, AUC was 0.73 and demonstrated to not be significantly different than the AUC for the training data set. Conclusions: The AL2OHA model is a clinical tool which can stratify which patients admitted for acute ischemic stroke/TIA are more likely to benefit from inpatient TTEs. 2025 The Author(s).
AB - Introduction: Inpatient transthoracic echocardiography (TTE) is considered to be an important part of secondary prevention in acute ischemic stroke, but can be a barrier to discharge. The goal of the study was to generate a risk score to assess which patients will benefit from a TTE in the inpatient setting. Methods: The training data set consisted of all 874 patients from the UW Health Comprehensive Stroke Registry admitted for acute ischemic stroke/transient ischemic attack (TIA) from 2017 to 2018 that received a TTE. A validation data set of 200 stroke patients was used from the Indiana University Stroke Registry. Using the training data, a modified logistic regression model was developed with simplified coefficients and a limited number of variables. The area under the receiver operator characteristic curve (AUC) was compared between different models and between the training and validation data sets. Results: The training data consisted of 874 patients (52.97% male; median age 64 years). Validation data set consisted of 200 patients (53.5% male; median age, 64 years). For the final model, termed AL2OHA, mean AUC on the training data across five-fold cross validation was 0.78 (95% CI, 0.76 0.80). The model consisted of six variables, and one point was awarded for each: atrial fibrillation, large artery atherosclerosis, large vessel occlusion, obesity, prior antihypertensive medication use, and if the patient s age was 18 39 or =70. Risk of positive findings was 6.2% for score of 0, 23.1% for score of 1, 57.4% for score of 2, 85.8%for score of 3, 96.4% for score of 4, and 99.2% for score of 5 or greater. When tested on the external validation data set, AUC was 0.73 and demonstrated to not be significantly different than the AUC for the training data set. Conclusions: The AL2OHA model is a clinical tool which can stratify which patients admitted for acute ischemic stroke/TIA are more likely to benefit from inpatient TTEs. 2025 The Author(s).
KW - Echocardiography
KW - Modeling
KW - Stroke
UR - https://www.scopus.com/pages/publications/105008790293
U2 - 10.1159/000544746
DO - 10.1159/000544746
M3 - Article
C2 - 40324339
AN - SCOPUS:105008790293
SN - 1015-9770
JO - Cerebrovascular Diseases
JF - Cerebrovascular Diseases
ER -