title: Clinical severity predicts time to hospital admission in patients with spontaneous intracerebral hemorrhage.
abstract: BACKGROUND
  In this study we analyzed whether demographic, clinical and neuroradiological parameters are associated with time to hospital admission in patients with spontaneous intracerebral hemorrhage (ICH). We a priori hypothesized that the earlier a patient was admitted to hospital, the worse the clinical status would be.
  
  
  METHODS
  Demographic, clinical and neuroradiological parameters of consecutive patients with spontaneous ICH directly admitted to 2 neurological university departments were subjected to correlation, trichotomization and logistic regression analyses for prediction of (i) early hospital admission, and (ii) favorable clinical presentation at admission [dichotomized Glasgow Coma Scale (GCS) score > or =9].
  
  
  RESULTS
  We analyzed 157 patients with a median age of 66 (39-93) years. Patient trichotomization according to the GCS revealed a significant difference (p < 0.001) between all groups with regard to the time from symptom onset to hospital admission: patients with a GCS score of 3-5 were admitted after 105 (40-300) min (mean: 113 +/- 53), those with a GCS score of 6-9 after 180 (45-420) min (mean: 184 +/- 95) and those with a GCS score of 10-15 after 300 (60-1,560) min (mean: 324 +/- 367). There were significant correlations between (i) hematoma volume and GCS (r = -0.632; p < 0.001); (ii) time to admission and GCS (r = 0.596; p < 0.001), and (iii) Graeb scores for intraventricular hemorrhage and hematoma volume (r = 0.348; p < 0.001). In the multivariate regression model for prediction of time until hospital admission, presence of intraventricular hemorrhage and the GCS score on admission were significant. In the multivariate regression model for prediction of a GCS score of > or =9 on admission, hematoma volume and time until hospital admission were significant parameters.
  
  
  CONCLUSIONS
  Clinically more severely affected patients were admitted to hospital earlier. This highlights the importance of most rapid diagnosis of ICH. Efforts should be made to get less severely affected patients admitted earlier as they might be ideal candidates for emerging innovative treatments.
authors.affiliation: Department of Neurology, University of Erlangen, Erlangen, Germany. hagen.huttner@uk-erlangen.de
authors.forename: Hagen B
authors.initials: HB
authors.lastname: Huttner
authors.forename: Martin
authors.initials: M
authors.lastname: Kohrmann
authors.forename: Elena
authors.initials: E
authors.lastname: Tognoni
authors.forename: Eric
authors.initials: E
authors.lastname: Juttler
authors.forename: Gregor
authors.initials: G
authors.lastname: Richter
authors.forename: Arnd
authors.initials: A
authors.lastname: Dorfler
authors.forename: Udo
authors.initials: U
authors.lastname: Reulbach
authors.forename: Teresa
authors.initials: T
authors.lastname: Bassemir
authors.forename: Dimitre
authors.initials: D
authors.lastname: Staykov
authors.forename: Jurgen
authors.initials: J
authors.lastname: Bardutzky
authors.forename: Peter D
authors.initials: PD
authors.lastname: Schellinger
authors.forename: Stefan
authors.initials: S
authors.lastname: Schwab
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002543:Cerebral Hemorrhage / Q000175:diagnosis* / Q000453:epidemiology*; D003952:Diagnostic Imaging; D005260:Female; D015600:Glasgow Coma Scale; D006406:Hematoma / Q000175:diagnosis; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D010343:Patient Admission / Q000706:statistics & numerical data*; D011379:Prognosis; D012720:Severity of Illness Index