title: Multifactorial analysis in the prognosis of ischemic cerebrovascular accidents.
abstract: An attempt to determine the prognosis of an individual patient with ischemic cerebrovascular accident means an attempt to take into consideration several parameters at the same time. Discrimination analysis was done as a retrospective study of 316 patients, who were followed from the moment of accident (admitted to the clinic within 24 hours), to four weeks after the accident. Nineteen parameters were determined by degree and correlated with the outcome through statistical significance of a single parameter p less than 0.05). After that, the parameters with statistical significance (age, state of consciousness, severity of motor deficit, previous episodes of cerebrovascular disease, Babinski sign, conjugate deviation of eyes, the way of onset of the disease) were used in a multifactorial analysis. The first analysis referred to the prognosis of survival (76 patients died, 240 patients survived). It was shown that the chosen parameters were satisfactory, since in 87% of cases they divided groups in an appropriate way, i.e. the group of deceased patients amounted to 76% and for the group of survived patients the score amounted to 90%. The second analysis referred only to patients who survived, with the aim to determine the probability of the quality outcome prognosis. It was shown that the same parameters were less reliable and the classification into two groups was done in 76% of cases (for--no deficit or small deficit group--in 73% of cases and for--severe deficit group--in 84% of cases.
authors.affiliation: Department of Neurology, University Medical Center, Sarajevo.
authors.forename: J
authors.initials: J
authors.lastname: Dimitrijević
mesh_terms: D002545:Brain Ischemia / Q000150:complications* / Q000401:mortality; D006801:Humans; D011379:Prognosis; D012189:Retrospective Studies; D012307:Risk Factors