Digital Clock Drawing and Recall Enables Rapid Cognitive Screening in Acute Ischemic Stroke Care
Abstract Body: Cognitive impairment following acute stroke significantly impacts patient outcomes and rehabilitation. Early detection is crucial, yet comprehensive assessments are often impractical in acute settings. Digital clock drawing and recall (DCR) offers a rapid 5-minute cognitive screening by assessing clock drawing and three-word recall. While previously shown effective in early Alzheimer's detection, its utility in stroke patients has been underexplored. This study investigates the feasibility and validity of DCR compared to the Montreal Cognitive Assessment (MoCA) in stroke patients.
The study involved 80 acute ischemic stroke patients who completed both DCR and MoCA during hospitalization. DCR was implemented on the Linus Health platform. DCR data included DCR scores, battery duration, demographic variables, and recorded NIH Stroke Scale scores. Cognitive impairment was defined using a MoCA threshold of ≤24. Leave-One-Out Cross-Validation and XGBoost were used for analysis. Optuna-optimized hyperparameters and model performance were evaluated via AUC, accuracy, F1-score, sensitivity, and specificity. SHAP analysis provided insights into feature importance.
The median time from stroke to cognitive screening was 3 days [1.0, 2.0]. The impaired group (MoCA ≤ 24) was older (mean 63.2 vs. 53.2 years, p = 0.271), had lower education levels (mean 13.4 vs. 15.8 years, p = 0.005), longer battery durations (median 288.0 vs. 232.0 seconds, p = 0.017), and lower DCR scores (median 1.0 vs. 3.0, p < 0.001). NIHSS scores were higher but not statistically significant (median 4.0 vs. 2.0, p = 1.). Gender, race, and ethnicity were insignificant predictors excluded from the final model.
The XGBoost model demonstrated strong predictive performance, with an AUC of 0.8114, an F1-score of 0.8916, and an accuracy of 0.9. At the threshold of 0.5656 (Youden’s J statistic), the model achieved high sensitivity 0.9841 and moderate specificity 0.5882. SHAP analysis identified DCR score, education level, and battery duration as the most important features.
DCR screening proves to be an effective, rapid cognitive screening tool in acute ischemic stroke care. It demonstrates high sensitivity in detecting subtle cognitive impairments and correlates well with MoCA scores. While further validation is needed, this tool offers a rapid and reliable method for cognitive assessment in acute settings, potentially enhancing personalized treatment approaches and improving patient outcomes in stroke care.
Fedorov, Alex
( Emory University
, Atlanta
, Georgia
, United States
)
Saurman, Jessica
( Emory University
, Atlanta
, GA
, Georgia
)
Ro, Jennifer
( Emory University
, Atlanta
, GA
, Georgia
)
Ammar Abdulraheem Ahmed, Jumah
( Emory University
, Atlanta
, GA
, Georgia
)
Edwards, Paula
( Emory University
, Atlanta
, GA
, Georgia
)
Loring, David
( Emory University
, Atlanta
, Georgia
, United States
)
Hu, Xiao
( Emory
, Atlanta
, Georgia
, United States
)
Nahab, Fadi
( EMORY UNIVERSITY
, Atlanta
, Georgia
, United States
)
Author Disclosures:
Alex Fedorov:DO NOT have relevant financial relationships
| Jessica Saurman:DO NOT have relevant financial relationships
| Jennifer Ro:DO NOT have relevant financial relationships
| Jumah Ammar Abdulraheem Ahmed:No Answer
| Paula Edwards:DO have relevant financial relationships
;
Individual Stocks/Stock Options:Eli Lilly:Active (exists now)
| David Loring:DO NOT have relevant financial relationships
| Xiao Hu:No Answer
| Fadi Nahab:DO NOT have relevant financial relationships