A Dynamical Study of Risk Factors in Intracerebral Hemorrhage using Multivariate Approach

Afaq Ahmed Siddiqui; Junaid S. Siddiqui; Mohammad Wasay; S. Iqbal Azam; Asif Ahmed

A Dynamical Study of Risk Factors in Intracerebral Hemorrhage using Multivariate Approach

Afaq Ahmed Siddiqui, Junaid S. Siddiqui, Mohammad Wasay, S. Iqbal Azam, Asif Ahmed

Department of Medicine, Medical College, Pakistan

Research output: Contribution to journal › Article

Abstract

The purpose of this study is to investigate the effects of clinical covariates to the outcome of Intracerebral Hemorrhage (ICH) patients in terms of best fitted and excellent discriminate model of binary response variable.

Clinical data of 985 patients with ICH have collected using the International classification of diseases, Ninth revision codes. The diagnosis of ICH was confirmed by neuro-imaging in all patients.

Univariate analysis revealed that out of 88 covariates 46 were found to be significant (p

Surgery is an important part of recovery, and estimated that the improvement among the ICH patients, who were treated with surgery, was 1.4 times with significant p-value in best fitted models. The complication of pneumonia during treatment of ICH subjects has highly significant negative association with outcome variable.

Present Model has 0.892 area under the curve with sensitivity (0.852), specificity (0.793) and p-value (0.204). This indicates that the model gives the impression to fit quite well for predictive performance of the ICH outcome variable and the model is excellent model.

Original language	Undefined/Unknown
Journal	Department of Medicine
Publication status	Published - 31 Jan 2013

Access to Document

http://ecommons.aku.edu/pakistan_fhs_mc_med_med/115

Cite this

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title = "A Dynamical Study of Risk Factors in Intracerebral Hemorrhage using Multivariate Approach",

abstract = "The purpose of this study is to investigate the effects of clinical covariates to the outcome of Intracerebral Hemorrhage (ICH) patients in terms of best fitted and excellent discriminate model of binary response variable. Clinical data of 985 patients with ICH have collected using the International classification of diseases, Ninth revision codes. The diagnosis of ICH was confirmed by neuro-imaging in all patients. Univariate analysis revealed that out of 88 covariates 46 were found to be significant (p Surgery is an important part of recovery, and estimated that the improvement among the ICH patients, who were treated with surgery, was 1.4 times with significant p-value in best fitted models. The complication of pneumonia during treatment of ICH subjects has highly significant negative association with outcome variable. Present Model has 0.892 area under the curve with sensitivity (0.852), specificity (0.793) and p-value (0.204). This indicates that the model gives the impression to fit quite well for predictive performance of the ICH outcome variable and the model is excellent model.",

author = "Siddiqui, {Afaq Ahmed} and Siddiqui, {Junaid S.} and Mohammad Wasay and Azam, {S. Iqbal} and Asif Ahmed",

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T1 - A Dynamical Study of Risk Factors in Intracerebral Hemorrhage using Multivariate Approach

AU - Siddiqui, Afaq Ahmed

AU - Siddiqui, Junaid S.

AU - Wasay, Mohammad

AU - Azam, S. Iqbal

AU - Ahmed, Asif

PY - 2013/1/31

Y1 - 2013/1/31

N2 - The purpose of this study is to investigate the effects of clinical covariates to the outcome of Intracerebral Hemorrhage (ICH) patients in terms of best fitted and excellent discriminate model of binary response variable. Clinical data of 985 patients with ICH have collected using the International classification of diseases, Ninth revision codes. The diagnosis of ICH was confirmed by neuro-imaging in all patients. Univariate analysis revealed that out of 88 covariates 46 were found to be significant (p Surgery is an important part of recovery, and estimated that the improvement among the ICH patients, who were treated with surgery, was 1.4 times with significant p-value in best fitted models. The complication of pneumonia during treatment of ICH subjects has highly significant negative association with outcome variable. Present Model has 0.892 area under the curve with sensitivity (0.852), specificity (0.793) and p-value (0.204). This indicates that the model gives the impression to fit quite well for predictive performance of the ICH outcome variable and the model is excellent model.

AB - The purpose of this study is to investigate the effects of clinical covariates to the outcome of Intracerebral Hemorrhage (ICH) patients in terms of best fitted and excellent discriminate model of binary response variable. Clinical data of 985 patients with ICH have collected using the International classification of diseases, Ninth revision codes. The diagnosis of ICH was confirmed by neuro-imaging in all patients. Univariate analysis revealed that out of 88 covariates 46 were found to be significant (p Surgery is an important part of recovery, and estimated that the improvement among the ICH patients, who were treated with surgery, was 1.4 times with significant p-value in best fitted models. The complication of pneumonia during treatment of ICH subjects has highly significant negative association with outcome variable. Present Model has 0.892 area under the curve with sensitivity (0.852), specificity (0.793) and p-value (0.204). This indicates that the model gives the impression to fit quite well for predictive performance of the ICH outcome variable and the model is excellent model.

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