1995Critical Care MedicineRequires access

Validation and comparison of models predicting survival following intracerebral hemorrhage

Stanley Tuhrim, Deborah Horowitz, Michael Sacher, James Godbold

Open publisher page 148 citations

Abstract

OBJECTIVE: To compare the performance of two previously reported logistic regression models using data independent from those data used to derive the models. DESIGN: Prospective. SETTING: Acute stroke unit of a tertiary care hospital. PATIENTS: One hundred twenty-nine patients with supratentorial intracerebral hemorrhage. MEASUREMENTS AND MAIN RESULTS: Model 1 contains the initial Glasgow Coma Scale score, hemorrhage size, and pulse pressure. The more complex model 2 includes, in addition to those three variables, the presence or absence of intraventricular hemorrhage and a term representing the interaction of intraventricular hemorrhage and Glasgow Coma Scale score. The areas under the receiver operating characteristic curves generated for each model were statistically indistinguishable. CONCLUSIONS: Model 1 predicts 30-day patient status as well as the more complex model 2. Model 1 provides a valid, easy-to-use means of categorizing supratentorial intracerebral hemorrhage patients in terms of their probability of survival.

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OBJECTIVE: To compare the performance of two previously reported logistic regression models using data independent from those data used to derive the models. DESIGN: Prospective. SETTING: Acute stroke unit of a tertiary care hospital. PATIENTS: One hundred twenty-nine patients with supratentorial intracerebral hemorrhage. MEASUREMENTS AND MAIN RESULTS: Model 1 contains the initial Glasgow Coma Scale score, hemorrhage size, and pulse pressure. The more complex model 2 includes, in addition to those three variables, the presence or absence of intraventricular hemorrhage and a term representing the interaction of intraventricular hemorrhage and Glasgow Coma Scale score. The areas under the receiver operating characteristic curves generated for each model were statistically indistinguishable. CONCLUSIONS: Model 1 predicts 30-day patient status as well as the more complex model 2. Model 1 provides a valid, easy-to-use means of categorizing supratentorial intracerebral hemorrhage patients in terms of their probability of survival.

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Available abstract

OBJECTIVE: To compare the performance of two previously reported logistic regression models using data independent from those data used to derive the models. DESIGN: Prospective. SETTING: Acute stroke unit of a tertiary care hospital. PATIENTS: One hundred twenty-nine patients with supratentorial intracerebral hemorrhage. MEASUREMENTS AND MAIN RESULTS: Model 1 contains the initial Glasgow Coma Scale score, hemorrhage size, and pulse pressure. The more complex model 2 includes, in addition to those three variables, the presence or absence of intraventricular hemorrhage and a term representing the interaction of intraventricular hemorrhage and Glasgow Coma Scale score. The areas under the receiver operating characteristic curves generated for each model were statistically indistinguishable. CONCLUSIONS: Model 1 predicts 30-day patient status as well as the more complex model 2. Model 1 provides a valid, easy-to-use means of categorizing supratentorial intracerebral hemorrhage patients in terms of their probability of survival.

Key concepts: Glasgow Coma Scale, Medicine, Intracerebral hemorrhage, Intraventricular hemorrhage, Logistic regression, Receiver operating characteristic, Stroke (engine), Glasgow Outcome Scale

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