3 research outputs found

    Predictores de deterioro neurologico precoz en pacientes con enfermedad vascular cerebral isquemica

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    Determinar prevalencia y construir modelo de predicci贸n de deterioro neurol贸gico precoz en pacientes con Enfermedad cerebrovascular (ECV) isqu茅mico. Material y m茅todo: Estudio observacional, anal铆tico, transversal, se evalu贸 191 pacientes con ECV isqu茅mico distribuidos en 2 grupos: Grupo I (13 pacientes con deterioro neurol贸gico precoz y Grupo II (178 pacientes sin Deterioro Neurol贸gico precoz). Se investig贸 la influencia de: edad, sexo, Hipertensi贸n Arterial, diabetes mellitus tipo 2, presi贸n Arterial Sist贸lica , score de la Escala de Glasgow (ECG), nitr贸geno ureico en la sangre (BUN) , creatinina s茅rica, raz贸n BUN /creatinina, hemoglobina, glucosa, lipoprote铆nas de alta densidad, triglic茅ridos, sodio, potasio, prote铆na C reactiva (PCR), en el desarrollo de Deterioro Neurol贸gico Precoz (DNP). Se aplic贸 el Test de Chi cuadrado y se calcul贸 el Odds Ratio para asociaci贸n significativa entre las variables, y an谩lisis multivariado de regresi贸n log铆stica binaria para evaluar simult谩neamente los factores de riesgo ajustado. Resultados: Las variables cl铆nicas con asociaci贸n significativa a DNP tras un ECV isqu茅mico fueron: sexo OR = 0,20 (P=0,041), puntuaci贸n ECG al tercer d铆a OR= 0,70 (p=0,002) y nivel de potasio a la admisi贸n OR= 2,53 (P=0,030), controlando el resto de variables. El modelo tuvo un rendimiento diagn贸stico de 80,53%. Conclusiones: Prevalencia de DNP en pacientes con ECV isqu茅mica fue 6.8%. El modelo de predicci贸n para DNP en pacientes con ECV isqu茅mica estuvo integrado por las variables: sexo, score de ECG al tercer d铆a, y niveles de K a la admisi贸n con rendimiento diagn贸stico de 80,53%.Determine prevalence and make a predictive model of early neurological deterioration in patients with ischemic cerebrovascular disease (CVD). Method: It was conducted an observational, analytical, cross-sectional study, evaluated 191 patients with ischemic CVD, which were divided into two groups. Group I (13 patients with early neurological deterioration and Group II (178 patients without early neurological deterioration); the influence of :sex, Arterial hypertension, diabetes mellitus type 2, systolic blood pressure, score of the Glasgow Coma Scale (GCS), blood urea nitrogen (BUN) , serum creatinine, BUN / creatinine ratio, hemoglobin, glucose, High density lipoprotein (HDL), triglycerides, sodium, potassium, C-reactive protein were investigated in the development of early Neurological deterioration (END). Chi square was applied and Odds Ratio鈥檚 result shows significant association between the variables test, it is also performed the multivariate analysis of logistic binary regression where evaluated simultaneously the risk factors in study. Results: The clinical variables with significant association to early neurological impairment after ischemic cerebrovascular disease were: sex OR = 0.20 (P = 0.041), ECG score in the third day OR = 0.70 (p = 0.002) and the level of potassium admission OR = 2.53 (P = 0.030), controlling the other variables. The model had a 80.53% diagnostic performance. Conclusions: The prevalence of DNP in patients with ischemic CVD was 6.8%. The prediction model for DNP for patients with ischemic CVD consisted of variables: sex, ECG score on the third day, and potassium levels to admission diagnostic yield of 80.53%
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