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1.
Neurología (Barc., Ed. impr.) ; 31(3): 149-156, abr. 2016. tab, ilus
Article in Spanish | IBECS | ID: ibc-150893

ABSTRACT

Introducción: Existe evidencia de que el ingreso de pacientes con ictus en diferentes periodos laborales influye en su evolución. Analizamos la evolución de los pacientes con relación al momento del ingreso en una unidad de ictus. Métodos: Estudio retrospectivo. Se agrupó a los pacientes considerando los siguientes periodos: a) día de la semana, b) periodo del año y c) turno de trabajo. Analizamos características demográficas, tipo y gravedad del ictus y porcentaje de trombólisis. Determinamos la evolución precoz considerando: la National Institute of Heath Stroke Scale (NIHSS), complicaciones neurológicas (CN) y mortalidad hospitalaria, y situación funcional (SF) a 3 meses mediante la escala modificada de Rankin. Resultados: Se incluyó a 1.250 pacientes. Las CN fueron más frecuentes durante el fin de semana que en los días laborales, sin influir en la mortalidad hospitalaria. Respecto a la SF a 3 meses, el 67,0% de pacientes ingresados en días laborales vs. 60,7% durante el fin de semana (p = 0,096), el 65,5% de los pacientes ingresados durante los meses académicos vs. 63,5% durante las vacaciones de verano (p = 0,803) eran independientes. No identificamos diferencias significativas en la mortalidad a 3 meses según el día o periodo del año; sin embargo, para la variable turno de trabajo, el 13,2% de los pacientes ingresados durante la mañana, el 11,5% por la tarde y el 6,0% durante el turno de noche fallecieron (p = 0,017). Observamos una tendencia a realizar más fibrinólisis en días laborables, turno de la mañana y meses académicos. Conclusiones: El momento del ingreso en la unidad de ictus no influyó en la evolución precoz ni en la situación de independencia a 3 meses


Introduction: Evidence supports that admitting patients with stroke during different hospital work periods is related to distinct outcomes. We aimed to analyse outcomes in patients according to the period and time of admission to the stroke unit. Methods: Retrospective study. For purposes of data analysis, patients were grouped according to the following time periods: a) day of the week, b) period of the year, c) shift. We analysed demographic characteristics, stroke type and severity, and the percentage undergoing thrombolysis in each group. The measures used to evaluate early outcomes were the National Institutes of Health Stroke Scale (NIHSS), neurological complications (NC), and in-hospital mortality. Functional outcome at 3 months was determined using the modified Rankin scale. Results: The stroke unit admitted 1250 patients. We found NC to be slightly more frequent for weekend admissions than for weekday admissions, but this trend does not seem to have influenced in-hospital mortality. Regarding functional outcome at 3 months, 67.0% of weekday vs. 60.7% of weekend admissions were independent (P=.096), as were 65.5% of patients admitted during the academic months vs. 63.5% of those admitted during summer holidays (P=.803). We identified no significant differences in 3-month mortality linked to the day or period of admission; however, for the variable ‘shift’, 13.2% of the patients died during the morning shift, 11.5% during the afternoon shift, and 6.0% during the night shift (P=.017). We identified a trend toward higher rates of thrombolysis administration on weekdays, during the morning shift, and during the academic months. Conclusions: Time of admission to the stroke unit did not affect early outcomes or functional independence at 3 months


Subject(s)
Humans , Male , Female , Stroke/classification , Stroke/complications , Stroke/mortality , Prognosis , Hospital Units/organization & administration , Hospital Units , Hospitalization/trends , Fibrinolysis/physiology , Thrombolytic Therapy/instrumentation , Thrombolytic Therapy/methods , Thrombolytic Therapy , Retrospective Studies , Diagnosis of Health Situation , Clinical Protocols/standards
2.
Neurologia ; 31(3): 149-56, 2016 Apr.
Article in English, Spanish | MEDLINE | ID: mdl-26385014

ABSTRACT

INTRODUCTION: Evidence supports that admitting patients with stroke during different hospital work periods is related to distinct outcomes. We aimed to analyse outcomes in patients according to the period and time of admission to the stroke unit. METHODS: Retrospective study. For purposes of data analysis, patients were grouped according to the following time periods: a) day of the week, b) period of the year, c) shift. We analysed demographic characteristics, stroke type and severity, and the percentage undergoing thrombolysis in each group. The measures used to evaluate early outcomes were the National Institutes of Health Stroke Scale (NIHSS), neurological complications (NC), and in-hospital mortality. Functional outcome at 3 months was determined using the modified Rankin scale. RESULTS: The stroke unit admitted 1250 patients. We found NC to be slightly more frequent for weekend admissions than for weekday admissions, but this trend does not seem to have influenced in-hospital mortality. Regarding functional outcome at 3 months, 67.0% of weekday vs. 60.7% of weekend admissions were independent (P=.096), as were 65.5% of patients admitted during the academic months vs. 63.5% of those admitted during summer holidays (P=.803). We identified no significant differences in 3-month mortality linked to the day or period of admission; however, for the variable 'shift', 13.2% of the patients died during the morning shift, 11.5% during the afternoon shift, and 6.0% during the night shift (P=.017). We identified a trend toward higher rates of thrombolysis administration on weekdays, during the morning shift, and during the academic months. CONCLUSIONS: Time of admission to the stroke unit did not affect early outcomes or functional independence at 3 months.


Subject(s)
Disease Management , Stroke/therapy , Aged , Aged, 80 and over , Female , Hospital Mortality , Hospital Units , Humans , Male , Middle Aged , Recovery of Function , Retrospective Studies , Stroke/complications , Stroke/mortality , Time Factors , Treatment Outcome
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