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Short term mortality predictors in acute stroke

BACKGROUND: Numerous studies have been done for last 20 years regarding the predictors of mortality in acute stroke. PURPOSE: This pilot study was designed for advancing our understanding the most influential factors involved in 4 wks mortality in Acute Stroke. METHODS: 440 patients were included in...

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Autores principales: Das, Sukdeb, Chandra Ghosh, Kartick, Malhotra, Mainak, Yadav, Ujjal, Sankar Kundu, Shib, Kumar Gangopadhyay, Prasanta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Indian Academy of Neurosciences 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4117043/
https://www.ncbi.nlm.nih.gov/pubmed/25205967
http://dx.doi.org/10.5214/ans.0972.7531.12190203
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author Das, Sukdeb
Chandra Ghosh, Kartick
Malhotra, Mainak
Yadav, Ujjal
Sankar Kundu, Shib
Kumar Gangopadhyay, Prasanta
author_facet Das, Sukdeb
Chandra Ghosh, Kartick
Malhotra, Mainak
Yadav, Ujjal
Sankar Kundu, Shib
Kumar Gangopadhyay, Prasanta
author_sort Das, Sukdeb
collection PubMed
description BACKGROUND: Numerous studies have been done for last 20 years regarding the predictors of mortality in acute stroke. PURPOSE: This pilot study was designed for advancing our understanding the most influential factors involved in 4 wks mortality in Acute Stroke. METHODS: 440 patients were included in the study. We studied the patients by 32 variables (clinical-12, radiological-3, complications-11 and previously handicapped-6). RESULTS: Out of 32 variables (analyzed by Decision Tree Technique) complications like delay in recovery of consciousness and new onset AMI/CCF and aspiration pneumonia were found to be the most significant predictors of mortality. In the next grade of factors influencing morality, we found age (>60 years), severity of neurodeficit (GCS>7, grade I/V motor weakness), size of lesion (infarct>1 lobe. hemorrhage>60 ml) to be important variables. CONCLUSION: Scoring criteria and multicenteric study with a larger sample will be a better choice for assessing such predictability.
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spelling pubmed-41170432014-09-09 Short term mortality predictors in acute stroke Das, Sukdeb Chandra Ghosh, Kartick Malhotra, Mainak Yadav, Ujjal Sankar Kundu, Shib Kumar Gangopadhyay, Prasanta Ann Neurosci Research Article BACKGROUND: Numerous studies have been done for last 20 years regarding the predictors of mortality in acute stroke. PURPOSE: This pilot study was designed for advancing our understanding the most influential factors involved in 4 wks mortality in Acute Stroke. METHODS: 440 patients were included in the study. We studied the patients by 32 variables (clinical-12, radiological-3, complications-11 and previously handicapped-6). RESULTS: Out of 32 variables (analyzed by Decision Tree Technique) complications like delay in recovery of consciousness and new onset AMI/CCF and aspiration pneumonia were found to be the most significant predictors of mortality. In the next grade of factors influencing morality, we found age (>60 years), severity of neurodeficit (GCS>7, grade I/V motor weakness), size of lesion (infarct>1 lobe. hemorrhage>60 ml) to be important variables. CONCLUSION: Scoring criteria and multicenteric study with a larger sample will be a better choice for assessing such predictability. Indian Academy of Neurosciences 2012-04 /pmc/articles/PMC4117043/ /pubmed/25205967 http://dx.doi.org/10.5214/ans.0972.7531.12190203 Text en Copyright © 2012, Annals of Neurosciences
spellingShingle Research Article
Das, Sukdeb
Chandra Ghosh, Kartick
Malhotra, Mainak
Yadav, Ujjal
Sankar Kundu, Shib
Kumar Gangopadhyay, Prasanta
Short term mortality predictors in acute stroke
title Short term mortality predictors in acute stroke
title_full Short term mortality predictors in acute stroke
title_fullStr Short term mortality predictors in acute stroke
title_full_unstemmed Short term mortality predictors in acute stroke
title_short Short term mortality predictors in acute stroke
title_sort short term mortality predictors in acute stroke
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4117043/
https://www.ncbi.nlm.nih.gov/pubmed/25205967
http://dx.doi.org/10.5214/ans.0972.7531.12190203
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