Reliability of Bystander Recognition of Clinical Features in Pre-Hospital Classification of Acute Cerebrovascular Syndromes: Preliminary Findings

ABSTRACT Background: The recognition of stroke symptoms by patients or bystanders directly affects the outcomes of patients with acute cerebrovascular disease. Objective: The objective of the study was to assess the predictive value of the medical history and clinical features recognized by the patients’ bystanders to classify neurovascular syndromes in pre-hospital settings. Methods: We included 150 stroke patients of two Mexican referral centers: 50 with acute ischemic stroke (AIS), 50 with intracerebral hemorrhage (ICH), and 50 with subarachnoid hemorrhage (SAH). The performance of clinical prediction rules (CPR) to identify the stroke types was evaluated with features recognized by the patients’ bystanders before hospital arrival. The impact of CPRs on early arrival and in-hospital mortality was also analyzed. Results: Overall, 72% of the patients had previous medical evaluations in other centers before final referral to our hospitals, and therefore, only 45% had a final onset-to-door time <6 h, even when the first medical assessment had occurred in ≤1 h in 75% of cases. Clinical features noticed by the patients’ bystanders had low positive predictive values (PPV) for any stroke type. The CPR “language or speech disorder + focal motor deficit” had 93% sensitivity and a negative predictive value (NPV) of 84% to distinguish AIS. In SAH, headache alone showed a sensitivity of 84% and NPV of 97%. No CPR had an adequate performance on ICH. CPRs were not associated with final onset-to-door time. Altered consciousness, age ≥65 years, indirect arrival with stops before final referral, and atrial fibrillation increased in-hospital mortality. Conclusion: Clinical features referred by the witness of a neurovascular emergency have limited PPV, but adequate NPV in ruling-out AIS and SAH among stroke types. The use of CPRs had no impact on onset-to-door time or in-hospital mortality when the final arrival to a third-level center occurs with previous medical referrals.

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.

Reliability of Bystander Recognition of Clinical Features in Pre-Hospital Classification of Acute Cerebrovascular Syndromes: Preliminary Findings.

BACKGROUND: The recognition of stroke symptoms by patients or bystanders directly affects the outcomes of patients with acute cerebrovascular disease. OBJECTIVE: The objective of the study was to assess the predictive value of the medical his- tory and clinical features recognized by the patients' bystanders to classify neurovascular syndromes in pre-hospital settings. METHODS: We included 150 stroke patients of two Mexican referral centers: 50 with acute ischemic stroke (AIS), 50 with intracerebral hemorrhage (ICH), and 50 with subarachnoid hemorrhage (SAH). The performance of clinical prediction rules (CPR) to identify the stroke types was evaluated with features recognized by the patients' bystanders before hospital arrival. The impact of CPRs on early arrival and in-hospital mortality was also analyzed. RESULTS: Overall, 72% of the patients had previous medical evaluations in other centers before final referral to our hospitals, and therefore, only 45% had a final onset- to-door time <6 h, even when the first medical assessment had occurred in ≤1 h in 75% of cases. Clinical features noticed by the patients' bystanders had low positive predictive values (PPV) for any stroke type. The CPR "language or speech disor- der + focal motor deficit" had 93% sensitivity and a negative predictive value (NPV) of 84% to distinguish AIS. In SAH, head- ache alone showed a sensitivity of 84% and NPV of 97%. No CPR had an adequate performance on ICH. CPRs were not as- sociated with final onset-to-door time. Altered consciousness, age ≥65 years, indirect arrival with stops before final referral, and atrial fibrillation increased in-hospital mortality. CONCLUSION: Clinical features referred by the witness of a neurovascular emergency have limited PPV, but adequate NPV in ruling-out AIS and SAH among stroke types. The use of CPRs had no impact on onset-to-door time or in-hospital mortality when the final arrival to a third-level center occurs with previous medical refer- rals.

Enfermedad carotídea aterosclerosa y enfermedad de sustancia blanca en sujetos sin historia de infarto cerebral o isquemia cerebral transitoria.

INTRODUCTION: Atherosclerotic carotid artery disease (CAD) is a major risk factor for cerebrovascular disease. OBJECTIVE: To analyze the association of major vascular risk factors with atherosclerotic CAD and white matter disease (WMD) in patients without a history of ischemic stroke. METHOD: Risk factors were assessed with carotid examination using Doppler duplex ultrasound. Cases with a history cerebral infarction or transient ischemic attack were not included. Subjects had brain magnetic resonance imaging scans available and those with large-artery ischemic lesions were excluded. Multivariate models were constructed for the prediction of atherosclerotic CAD, significant carotid stenosis, atheroma burden and WMD. RESULTS: One-hundred and forty-five subjects were assessed (60.7% were females, mean age was 73 years). Atherosclerotic CAD was documented in 54.5%, carotid stenosis ≥ 50% in 9.0%, > 6 atheroma plaques in 7.6%, and periventricular or subcortical WMD in 28.3% (20.6% had atherosclerotic CAD and WMD concurrently). Risk factors independently associated with atherosclerotic CAD were age and hypertension; hypertension was associated with ≥ 50% carotid stenosis; age was associated with > 6 atheroma plaques; and age, diabetes and hypertension were associated with WMD. Obesity was not associated with any of the analyzed independent variables. CONCLUSIONS: In asymptomatic subjects without a history of ischemic stroke, age and hypertension were the most important risk factors for macrovascular disease. Diabetes mellitus was associated with microvascular disease. Obesity alone was not a major determinant of CAD or WMD.

INTRODUCCIÓN: La enfermedad carotídea aterosclerosa (ECA) es un factor de riesgo importante para enfermedad vascular cerebral. OBJETIVO: Analizar la asociación entre factores de riesgo vascular mayores con ECA y leucopatía cerebral en pacientes sin historia de ictus isquémico. MÉTODO: Se evaluaron factores de riesgo en sujetos con exploración de carótidas mediante ultrasonografía Doppler dúplex. No se incluyeron casos con historia de infarto cerebral o ataque isquémico transitorio. Los sujetos contaron con resonancia magnética cerebral y se excluyeron aquellos con lesiones isquémicas de grandes vasos. Se construyeron modelos multivariable para la predicción de ECA, estenosis carotídea significativa, carga de ateromas y leucopatía cerebral. RESULTADOS: Se estudiaron 145 sujetos (60.7 % mujeres, edad de 73 años). Se documentó ECA en 54.5 %, estenosis carotídea ≥ 50 % en 9 %, carga de placas de ateroma > 6 en 7.6 % y leucopatía periventricular o subcortical en 28.3 % (20.6 % tenían concurrentemente ECA y leucopatía). Los factores asociados independientemente con ECA fueron edad e hipertensión; con estenosis ≥ 50 %, hipertensión; con cargas de ateromas > 6 placas, edad; con leucopatía, edad, diabetes e hipertensión. La obesidad no se asoció con las variables independientes analizadas. CONCLUSIONES: En los sujetos asintomáticos sin historia de ictus isquémico, la edad y la hipertensión fueron los factores de riesgo más importantes para enfermedad macrovascular. La diabetes mellitus se asoció con enfermedad microvascular. La obesidad por sí sola no fue un determinante mayor de ECA o leucopatía cerebral.

Enfermedad carotídea aterosclerosa y enfermedad de sustancia blanca en sujetos sin historia de infarto cerebral o isquemia cerebral transitoria / Atherosclerotic Carotid Disease and White Matter Disease in Subjects Without a History of Cerebral Infarction or Transient Cerebral Ischemia

Resumen Introducción: La enfermedad carotídea aterosclerosa (ECA) es un factor de riesgo importante para enfermedad vascular cerebral. Objetivo: Analizar la asociación entre factores de riesgo vascular mayores con ECA y leucopatía cerebral en pacientes sin historia de ictus isquémico. Método: Se evaluaron factores de riesgo en sujetos con exploración de carótidas mediante ultrasonografía Doppler dúplex. No se incluyeron casos con historia de infarto cerebral o ataque isquémico transitorio. Los sujetos contaron con resonancia magnética cerebral y se excluyeron aquellos con lesiones isquémicas de grandes vasos. Se construyeron modelos multivariable para la predicción de ECA, estenosis carotídea significativa, carga de ateromas y leucopatía cerebral. Resultados: Se estudiaron 145 sujetos (60.7 % mujeres, edad de 73 años). Se documentó ECA en 54.5 %, estenosis carotídea ≥ 50 % en 9 %, carga de placas de ateroma > 6 en 7.6 % y leucopatía periventricular o subcortical en 28.3 % (20.6 % tenían concurrentemente ECA y leucopatía). Los factores asociados independientemente con ECA fueron edad e hipertensión; con estenosis ≥ 50 %, hipertensión; con cargas de ateromas > 6 placas, edad; con leucopatía, edad, diabetes e hipertensión. La obesidad no se asoció con las variables independientes analizadas. Conclusiones: En los sujetos asintomáticos sin historia de ictus isquémico, la edad y la hipertensión fueron los factores de riesgo más importantes para enfermedad macrovascular. La diabetes mellitus se asoció con enfermedad microvascular. La obesidad por sí sola no fue un determinante mayor de ECA o leucopatía cerebral.

Abstract Introduction: Atherosclerotic carotid artery disease (CAD) is a major risk factor for cerebrovascular disease. Objective: To analyze the association of major vascular risk factors with atherosclerotic CAD and white matter disease (WMD) in patients without a history of ischemic stroke. Method: Risk factors were assessed with carotid examination using Doppler duplex ultrasound. Cases with a history cerebral infarction or transient ischemic attack were not included. Subjects had brain magnetic resonance imaging scans available and those with large-artery ischemic lesions were excluded. Multivariate models were constructed for the prediction of atherosclerotic CAD, significant carotid stenosis, atheroma burden and WMD. Results: One-hundred and forty-five subjects were assessed (60.7% were females, mean age was 73 years). Atherosclerotic CAD was documented in 54.5%, carotid stenosis ≥ 50% in 9.0%, > 6 atheroma plaques in 7.6%, and periventricular or subcortical WMD in 28.3% (20.6% had atherosclerotic CAD and WMD concurrently). Risk factors independently associated with atherosclerotic CAD were age and hypertension; hypertension was associated with ≥ 50% carotid stenosis; age was associated with > 6 atheroma plaques; and age, diabetes and hypertension were associated with WMD. Obesity was not associated with any of the analyzed independent variables. Conclusions: In asymptomatic subjects without a history of ischemic stroke, age and hypertension were the most important risk factors for macrovascular disease. Diabetes mellitus was associated with microvascular disease. Obesity alone was not a major determinant of CAD or WMD.