title: New prognostic score for the prediction of 30-day outcome in spontaneous supratentorial cerebral haemorrhage.
abstract: OBJECTIVE
  The purpose of the present study was to evaluate predictors of outcome in primary supratentorial cerebral haemorrhage. Furthermore, we aimed to develop a prognostic model to predict 30-day fatality.
  
  
  METHODS
  We retrospectively analyzed a database of 156 patients with spontaneous supratentorial haemorrhage to explore the relationship between clinical and CT characteristics and fatal outcome within 30 days using multiple logistic regression analysis. The analyzed factors included volumetric data assessed by neuropathological and CT volumetry. A second CT scan in survivors or neuropathological ABC/2 volumetry in nonsurvivors was used along with the baseline CT to assess the growth index of haematoma.
  
  
  RESULTS
  Systolic blood pressure, serum potassium and glucose levels, platelet count, absolute and relative haematoma volumes, and presence and size of intraventricular haemorrhage statistically significantly predicted the fatal outcome within 30 days. Based on our results we formulated a six-factor scoring algorithm named SUSPEKT to predict outcome.
  
  
  CONCLUSIONS
  After validation the SUSPEKT score may be applicable in general clinical practice for early patient selection to optimize individual management or for assessment of eligibility for treatment trials.
authors: Department of Neurology, University of Debrecen, Clinical Center, Debrecen 4032, Hungary.
authors: Rita
authors: R
authors: Szepesi
authors: Department of Neurology, University of Debrecen, Clinical Center, Debrecen 4032, Hungary.
authors: Ibolya Katalin
authors: IK
authors: Széll
authors: Department of Neurology, University of Debrecen, Clinical Center, Debrecen 4032, Hungary ; Division of Neuropathology, Institute of Pathology, University of Debrecen, Clinical Center, Debrecen 4032, Hungary.
authors: Tibor
authors: T
authors: Hortobágyi
authors: Hygiene and Infection Control Services, Kenézy Hospital, Debrecen 4031, Hungary.
authors: László
authors: L
authors: Kardos
authors: Department of Neurology, University of Debrecen, Clinical Center, Debrecen 4032, Hungary.
authors: Katalin
authors: K
authors: Nagy
authors: Department of Biomedical Laboratory and Imaging Science, University of Debrecen, Clinical Center, Debrecen 4032, Hungary.
authors: Levente István
authors: LI
authors: Lánczi
authors: Department of Biomedical Laboratory and Imaging Science, University of Debrecen, Clinical Center, Debrecen 4032, Hungary.
authors: Ervin
authors: E
authors: Berényi
authors: Department of Neurology, Semmelweis University, Budapest 1083, Hungary.
authors: Dániel
authors: D
authors: Bereczki
authors: Department of Neurology, University of Debrecen, Clinical Center, Debrecen 4032, Hungary.
authors: László
authors: L
authors: Csiba
mesh_terms: D000368:Aged; D001786:Blood Glucose / Q000378:metabolism; D001794:Blood Pressure / Q000502:physiology; D002543:Cerebral Hemorrhage / Q000097:blood / Q000175:diagnosis* / Q000378:metabolism / Q000401:mortality*; D005260:Female; D006801:Humans; D008297:Male; D010976:Platelet Count / Q000379:methods; D011188:Potassium / Q000097:blood; D011379:Prognosis; D012189:Retrospective Studies; D014057:Tomography, X-Ray Computed / Q000379:methods
chemical_list: D001786:Blood Glucose; D011188:Potassium
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