BACKGROUND AND PURPOSE: For the clinician, the diagnosis of arterial ischemic stroke (AIS) in children is a challenge. Prompt diagnosis of pediatric AIS within 6 hours enables stroke-specific thrombolytic and neuroprotective strategies. METHODS: We conducted a retrospective study of prospectively enrolled consecutive cohort of children with AIS, admitted to The Hospital for Sick Children, Toronto, from January 1992 to December 2004. The data on clinical presentation, symptom onset, emergency department arrival, neuroimaging and stroke diagnosis were recorded. The putative predictors of delayed diagnosis were selected a priori for analysis. RESULTS: A total of 209 children with AIS were studied. The median interval from symptom onset to AIS diagnosis was 22.7 hours (interquartile range: 7.1 to 57.7 hours), prehospital delay (symptom onset to hospital arrival) was 1.7 hours (interquartile range: 49 minutes to 8.1 hours), and the in-hospital delay (presentation to diagnosis) was 12.7 hours (interquartile range: 4.5 to 33.5 hours). The initial assessment was completed in 16 minutes and initial neuroimaging in 8.8 hours. The diagnosis of AIS was suspected on initial assessment in 79 (38%) children and the initial neuroimaging diagnosed AIS in 47%. The parent's help seeking action, nonabrupt onset of symptoms, altered consciousness, milder stroke severity, posterior circulation infarction and lack of initial neuroimaging at a tertiary hospital were predictive delayed AIS diagnosis. CONCLUSIONS: In the diagnosis of AIS, significant prehospital and in-hospital delays exist in children. Several predictors of the delayed AIS diagnosis were identified in the present study. Efforts to target these predictors can reduce diagnostic delays and optimize the management of AIS in children.
BACKGROUND AND PURPOSE: For the clinician, the diagnosis of arterial ischemic stroke (AIS) in children is a challenge. Prompt diagnosis of pediatric AIS within 6 hours enables stroke-specific thrombolytic and neuroprotective strategies. METHODS: We conducted a retrospective study of prospectively enrolled consecutive cohort of children with AIS, admitted to The Hospital for Sick Children, Toronto, from January 1992 to December 2004. The data on clinical presentation, symptom onset, emergency department arrival, neuroimaging and stroke diagnosis were recorded. The putative predictors of delayed diagnosis were selected a priori for analysis. RESULTS: A total of 209 children with AIS were studied. The median interval from symptom onset to AIS diagnosis was 22.7 hours (interquartile range: 7.1 to 57.7 hours), prehospital delay (symptom onset to hospital arrival) was 1.7 hours (interquartile range: 49 minutes to 8.1 hours), and the in-hospital delay (presentation to diagnosis) was 12.7 hours (interquartile range: 4.5 to 33.5 hours). The initial assessment was completed in 16 minutes and initial neuroimaging in 8.8 hours. The diagnosis of AIS was suspected on initial assessment in 79 (38%) children and the initial neuroimaging diagnosed AIS in 47%. The parent's help seeking action, nonabrupt onset of symptoms, altered consciousness, milder stroke severity, posterior circulation infarction and lack of initial neuroimaging at a tertiary hospital were predictive delayed AIS diagnosis. CONCLUSIONS: In the diagnosis of AIS, significant prehospital and in-hospital delays exist in children. Several predictors of the delayed AIS diagnosis were identified in the present study. Efforts to target these predictors can reduce diagnostic delays and optimize the management of AIS in children.
Authors: Nicholas S Abend; Lauren A Beslow; Sabrina E Smith; Sudha K Kessler; Arastoo Vossough; Stefanie Mason; Shannon Agner; Daniel J Licht; Rebecca N Ichord Journal: J Pediatr Date: 2011-03-22 Impact factor: 4.406
Authors: Rebecca N Ichord; Rachel Bastian; Lisa Abraham; Rand Askalan; Susan Benedict; Timothy J Bernard; Lauren Beslow; Gabrielle Deveber; Michael Dowling; Neil Friedman; Heather Fullerton; Lori Jordan; Li Kan; Adam Kirton; Catherine Amlie-Lefond; Daniel Licht; Warren Lo; Chalmer McClure; Steve Pavlakis; Sabrina E Smith; Marilyn Tan; Scott Kasner; Abbas F Jawad Journal: Stroke Date: 2011-02-11 Impact factor: 7.914