4 results on '"Eduardo Ruiz-Ruiz"'
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2. Prediction of acute neurovascular syndromes with prehospital clinical features witnessed by bystanders
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Elizabeth Rodríguez-Perea, Eduardo Ruiz-Ruiz, Liz Toapanta-Yanchapaxi, Ana Ochoa-Guzmán, Rogelio Domínguez-Moreno, Fernando Flores-Silva, Guillermo Ramírez-García, Juan José Gómez-Piña, José Luis Ruiz-Sandoval, Valeria Sandoval-Rodríguez, Miguel García-Grimshaw, Erwin Chiquete, Carlos Cantú-Brito, Amado Jiménez-Ruiz, and Paola Trejo-Romero
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medicine.medical_specialty ,Neurology ,Subarachnoid hemorrhage ,Dermatology ,Clinical prediction rule ,Brain Ischemia ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,Medical history ,cardiovascular diseases ,030212 general & internal medicine ,Cerebral Hemorrhage ,Neuroradiology ,Intracerebral hemorrhage ,business.industry ,Syndrome ,General Medicine ,medicine.disease ,Neurovascular bundle ,Stroke ,Psychiatry and Mental health ,Cardiology ,Neurology (clinical) ,Neurosurgery ,Emergency Service, Hospital ,business ,030217 neurology & neurosurgery - Abstract
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. 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). 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. CPRs constructed with the witnesses’ narrative had only adequate NPVs in the prehospital classification of acute neurovascular syndromes, before neuroimaging confirmation.
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- 2020
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3. Reliability of Bystander Recognition of Clinical Features in Pre-Hospital Classification of Acute Cerebrovascular Syndromes: Preliminary Findings
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Miguel García-Grimshaw, Erwin Chiquete, Ana Ochoa-Guzmán, Eduardo Ruiz-Ruiz, Amado Jiménez-Ruiz, José Luis Ruiz-Sandoval, Valeria Sandoval-Rodríguez, Carlos Cantú-Brito, Juan José Gómez-Piña, Fernando Flores-Silva, and Guillermo Ramírez-García
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Intracerebral hemorrhage ,medicine.medical_specialty ,Subarachnoid hemorrhage ,Referral ,business.industry ,Atrial fibrillation ,General Medicine ,medicine.disease ,Neurovascular bundle ,03 medical and health sciences ,0302 clinical medicine ,Emergency medicine ,medicine ,Bystander effect ,cardiovascular diseases ,030212 general & internal medicine ,Medical assessment ,business ,Stroke ,030217 neurology & neurosurgery - 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 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
- Published
- 2020
4. Enfermedad carotídea aterosclerosa y enfermedad de sustancia blanca en sujetos sin historia de infarto cerebral o isquemia cerebral transitoria
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Guillermo García-Ramos, Isael Reyes-Melo, Guillermo Ramírez-García, José Domingo Barrientos-Guerra, Erwin Chiquete, Liz Toapanta-Yanchapaxi, Fernando Flores-Silva, Carlos Cantú-Brito, Jesús Higuera-Calleja, José Alejandro Flórez-Cardona, Juan José Gómez-Piña, and Eduardo Ruiz-Ruiz
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Carotid Artery Diseases ,Male ,medicine.medical_specialty ,Asymptomatic ,03 medical and health sciences ,0302 clinical medicine ,Leukoencephalopathies ,Risk Factors ,Internal medicine ,Diabetes mellitus ,Carotid artery disease ,Diabetes Mellitus ,medicine ,Humans ,Carotid Stenosis ,Obesity ,cardiovascular diseases ,030212 general & internal medicine ,Risk factor ,Aged ,Retrospective Studies ,Macrovascular disease ,Aged, 80 and over ,Ultrasonography, Doppler, Duplex ,Cerebral infarction ,business.industry ,Age Factors ,General Medicine ,Middle Aged ,medicine.disease ,Magnetic Resonance Imaging ,Plaque, Atherosclerotic ,Stenosis ,Atheroma ,Hypertension ,Cardiology ,Female ,medicine.symptom ,business - Abstract
espanolIntroduccion: La enfermedad carotidea aterosclerosa (ECA) es un factor de riesgo importante para enfermedad vascular cerebral. Objetivo: Analizar la asociacion entre factores de riesgo vascular mayores con ECA y leucopatia cerebral en pacientes sin historia de ictus isquemico. Metodo: Se evaluaron factores de riesgo en sujetos con exploracion de carotidas mediante ultrasonografia Doppler duplex. No se incluyeron casos con historia de infarto cerebral o ataque isquemico transitorio. Los sujetos contaron con resonancia magnetica cerebral y se excluyeron aquellos con lesiones isquemicas de grandes vasos. Se construyeron modelos multivariable para la prediccion de ECA, estenosis carotidea significativa, carga de ateromas y leucopatia cerebral. Resultados: Se estudiaron 145 sujetos (60.7 % mujeres, edad de 73 anos). Se documento ECA en 54.5 %, estenosis carotidea ≥ 50 % en 9 %, carga de placas de ateroma > 6 en 7.6 % y leucopatia periventricular o subcortical en 28.3 % (20.6 % tenian concurrentemente ECA y leucopatia). Los factores asociados independientemente con ECA fueron edad e hipertension; con estenosis ≥ 50 %, hipertension; con cargas de ateromas > 6 placas, edad; con leucopatia, edad, diabetes e hipertension. La obesidad no se asocio con las variables independientes analizadas. Conclusiones: En los sujetos asintomaticos sin historia de ictus isquemico, la edad y la hipertension fueron los factores de riesgo mas importantes para enfermedad macrovascular. La diabetes mellitus se asocio con enfermedad microvascular. La obesidad por si sola no fue un determinante mayor de ECA o leucopatia cerebral. EnglishIntroduction: 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.
- Published
- 2019
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