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Models For Predicting Clinical Outcome And Hematoma Absorption Rate Of The Spontaneous Intracerebral Hemorrhage

Posted on:2014-01-31Degree:MasterType:Thesis
Country:ChinaCandidate:W W HengFull Text:PDF
GTID:2234330395995439Subject:Clinical medicine
Abstract/Summary:PDF Full Text Request
Objective:To guide the clinical physicians evaluating the prognosis and hematoma absorption rate of spontaneous intracerebral hemorrhage (ICH), we investigated the clinical characteristics of ICH and set up models to predict the prognosis and hematoma absorption rate of ICH.Methods:The clinical data of acute cerebral hemorrhage patients were collected and studied retrospectively. All the patients were divided into two groups:good prognosis group (mRS score≤<2points), and poor prognosis group (mRS score3-6). And then patients were divided into two groups once again:fast absorption rate group (R<0.67ml/d), and low absorption rate group (R≥0.67ml/d). The clinical data were analyzed with single factor and Logistic regression analyses.Results:(1) Age, blood glucose levels, secondary pneumonia, Glasgow coma scale, NIHSS score, Activity of Daily Living Scale, drinking scores, bleeding location, amount of hemorrhage, midline of brain shift were analyzed. However, the age, ADL, NIHSS score, and amount of hemorrhage were independent predictors of prognosis for cerebral hemorrhage at30days. The accuracy of the predictors was83.3%, the negative predictive rate was78.1%and positive predictive rate was86.7%. Conclusions:Age, ADL, NIHSS score, amount of hemorrhage may be used to predict the prognosis of cerebral hemorrhage after30days.(2) Age, diabetes, blood glucose levels, glycosylated hemoglobin levels, Serum cholesterol levels, amount of hemorrhage, bleeding site, with or without midline shift, Glasgow conla scale, NIHSS score, Activity of Daily Living Scale were analyzed for the correlation with the hematoma absorption rate of patients. Logistic regression analysis showed that amount of hemorrhage, Glasgow conla scale, glycosylated hemoglobin levels was an independent low absorption rate factors for cerebral hemorrhage. Hematoma absorption rate prediction model including this three factors above to predict the hematoma absorption rate of ICH. The sensitivity of this model was88.2%, and the specificity was89.8%.Conclusions:(1) Age, ADL, NIHSS score, amount of hemorrhage may be used to predict the prognosis of cerebral hemorrhage after30days.(2) Amount of hemorrhage, Glasgow conla scale and glycosylated hemoglobin levels may be used to predict the hematoma absorption rate of cerebral hemorrhage. This predictive model is very suitable for hematoma absorption rate of spontaneous ICH.
Keywords/Search Tags:Intracerebral hemorrhage, Predictors of Prognosis, Hematoma, Absorption
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