Transient ischemic attack without self-awareness of symptoms witnessed by bystanders: analysis of the PROMISE-TIA registry

A Retrospective Analysis of the Underlying Health Status of Patients Treated for Stroke in the Emergency Department of a Community Hospital Situated in a Health Professional Shortage Area

Background Hypertension, diabetes, and hyperlipidemia are known contributors to the incidence of stroke. These and other risk factors such as smoking can be managed with effective primary care, but living in a medically underserved area and racial background can limit access, thereby deleteriously affecting underlying medical conditions and disproportionately contributing to negative stroke outcomes. Our goal is to learn about the on-admission health of 1,731 stroke patients who presented to the Crouse Hospital emergency department (ED) between January 2019 and January 2021 to better understand the circumstances affecting these patients. Crouse Hospital is a community hospital in Syracuse, New York, and an award-winning comprehensive stroke center in the region. The hospital is located in a health professional shortage area (HPSA) and serves both rural and urban patients of various ethnic backgrounds and socioeconomic statuses. Methodology We retrospectively examined the stroke patient data to determine how access to primary care and race affected smoking status, arrival time following the onset of symptoms, stroke severity, thrombolytic administration, and metrics relating to hypertension, diabetes, hyperlipidemia, and depression. Results We determined that, while most patients stated that they had a primary care provider, stroke incidents were typically associated with high blood pressure and high blood glucose despite the prevalence of prescriptions to treat these conditions and that both conditions affected the underserved and non-White patients (Black, Hispanic, Asian, Indigenous, and Other) more so than the served and White populations. Underserved and non-White patients, were also more likely to be associated with smoking behavior. Conclusions The data indicated the major health factors affecting the patients and highlighted those influenced by limited access to primary care and racial background. As a result, we developed a survey to gauge patients' perspectives on primary care and underlying medical conditions before and after their stroke. This patient-centered approach will help refine our stroke education efforts to improve stroke outcomes in the community.

Prediction of acute neurovascular syndromes with prehospital clinical features witnessed by bystanders

BACKGROUND

The prompt recognition of an acute neurovascular syndrome by the patient or a bystander witnessing the event can directly influence outcome. We aimed to study the predictive value of the medical history and clinical features recognized by the patients' bystanders to preclassify acute stroke syndromes in prehospital settings.

METHODS

We analyzed 369 patients: 209 (56.6%) with acute ischemic stroke (AIS), 107 (29.0%) with intracerebral hemorrhage (ICH), and 53 (14.4%) with subarachnoid hemorrhage (SAH). All patients had neuroimaging as diagnostic gold standard. We constructed clinical prediction rules (CPRs) with features recognized by the bystanders witnessing the stroke onset to classify the acute neurovascular syndromes before final arrival to the emergency room (ER).

RESULTS

In all, 83.2% cases were referred from other centers, and only 16.8% (17.2% in AIS, 15% in ICH, and 18.9% in SAH) had direct ER arrival. The time to first assessment in ≤ 3 h occurred in 72.4% (73.7%, 73.8%, and 64.2%, respectively), and final ER arrival in ≤ 3 h occurred in 26.8% (32.1%, 15.9%, and 28.3%, respectively). Clinical features referred by witnesses had low positive predictive values (PPVs) for stroke type prediction. Language or speech disorder + focal motor deficit showed 63.3% PPV, and 77.0% negative predictive value (NPV) for predicting AIS. Focal motor deficit + history of hypertension had 35.9% PPV and 78.8% NPV for ICH. Headache alone had 27.9% PPV and 95.3% NPV for SAH. In multivariate analyses, seizures, focal motor deficit, and hypertension increased the probability of a time to first assessment in ≤ 3 h, while obesity was inversely associated. Final ER arrival was determined by age and a direct ER arrival without previous referrals.

CONCLUSION

CPRs constructed with the witnesses' narrative had only adequate NPVs in the prehospital classification of acute neurovascular syndromes, before neuroimaging confirmation.