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Abstract Details

Identifying Predictors for Final Diagnosis of Ischemic Events in an Emergency Department Observation Unit
Cerebrovascular Disease and Interventional Neurology
P4 - Poster Session 4 (5:30 PM-6:30 PM)
4-016

To identify clinical features that differentiate true ischemic events from nonischemic transient neurological attacks (NI-TNAs) among patients admitted to an ED-Observation Unit (ED-OU) for suspected TIA.

Transient neurologic events have high rates of diagnostic uncertainty. ED-OUs allow an accelerated diagnostic work up for suspected transient ischemic attacks (TIAs). However, clinical decision support regarding which patients to admit to these units is lacking.

A retrospective analysis was performed on consecutive patients admitted to the ED-OU at a single academic center for suspected TIA. Demographics, vascular risk factors, presenting symptoms, and clinical presentation details were abstracted from chart review. Final discharge diagnosis was dichotomized to either TIA or minor stroke (TIAMS) or NI-TNA based on the treating vascular neurologist’s final diagnosis. Standard statistical tests were used for comparison testing between the groups. Significantly different factors on univariate analysis were applied to a multivariable logistic regression model.

Of 186 consecutive patients, 101 (54%) had a final diagnosis of NI-TNA and 85 (46%) of TIAMS. The median population ABCD2 score was 4 [IQR 3-4]. On univariate analysis, older age (63 vs. 70, p<0.01), history of atrial fibrillation (AF) (12% vs. 26%, p=0.01), and facial weakness (5% vs. 14% p=0.03) were associated with TIAMS. Headache (24% vs. 12%, p=0.04) and symptom duration>60min (57% vs. 40%, p=0.02) were associated with NI-TNA. On multivariable analysis, only symptom duration>60 minutes predicted NI-TNA (OR 0.39, p=0.04) and only history of AF (OR 2.53, p=0.03) predicted TIAMS.  

We identified two clinical features that distinguished TIAMS from NI-TNA among patients admitted to an ED-OU for suspected TIA. These may be helpful in emergency room triage of TIAMS. Data from ED-OU can be used to identify factors associated with cerebral ischemia and improve current care pathways for patients with suspected TIA, so diagnostic evaluation is received in the most appropriate setting.

Authors/Disclosures
Arooshi Kumar, MD (Rush University Medical Center)
PRESENTER
Dr. Kumar has nothing to disclose.
Cen Zhang, MD Dr. Zhang has nothing to disclose.
Ava L. Liberman, MD (Weill Cornell Medicine) Dr. Liberman has nothing to disclose.
Ava L. Liberman, MD (Weill Cornell Medicine) Dr. Liberman has nothing to disclose.
Jose L. Torres, MD (NYU) Dr. Torres has nothing to disclose.
Sara K. Rostanski, MD (NYU School of Medicine) Dr. Rostanski has received personal compensation in the range of $10,000-$49,999 for serving as an Expert Witness for Individual law firms.