Formulation of a radiological scoring system to prognosticate patients with primary intracerebral haemorrhage
Background. Primary intracerebral haemorrhage is a neurological condition associated with high morbidity and mortality. Outcome prediction is necessary to allocate the available resources in such cases judicially. Our study aims to identify the radiological predictors of in-hospital mortality based...
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| Format: | Article |
| Language: | English |
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Poznan University of Medical Sciences
2023-03-01
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| Series: | Journal of Medical Science |
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| Online Access: | https://jms.ump.edu.pl/index.php/JMS/article/view/724 |
| _version_ | 1797855942322159616 |
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| author | Krishna Kumar Harison Gopalan Jayalakshmi Jayaprakash |
| author_facet | Krishna Kumar Harison Gopalan Jayalakshmi Jayaprakash |
| author_sort | Krishna Kumar |
| collection | DOAJ |
| description |
Background. Primary intracerebral haemorrhage is a neurological condition associated with high morbidity and mortality. Outcome prediction is necessary to allocate the available resources in such cases judicially. Our study aims to identify the radiological predictors of in-hospital mortality based on a plain CT study of the brain at admission and to develop a prognostic scoring system based on them.
Material and methods. We collected the clinical and radiological data from 182 consecutive patients who presented with primary spontaneous ICH. Bivariate analysis of radiological predictors of in-hospital mortality was undertaken using unadjusted logistic regression. Those variables found to have significance were put into a multivariate logistic regression model. The Results of multivariate logistic regression were treated as a foundation for developing the scoring system.
Results. The mortality rate in our series was 23.6% (N = 43). After multivariate analysis, Midline shift (MLS), presence or absence of intraventricular haemorrhage (IVH), Volume of ICH and Location of haematoma were significant predictors of mortality. Based on the identified radiological variables, a five-score prognostic scoring system (AUROC = 0.925, 95% CI 0.887–0.964)) was developed, with higher scores indicating higher mortality.
Conclusions. The established scoring system, MIVL, may help physicians to do better patient counselling regarding outcomes.
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| first_indexed | 2024-04-09T20:32:21Z |
| format | Article |
| id | doaj.art-6774b0df184c4d54a9a031030e915da8 |
| institution | Directory Open Access Journal |
| issn | 2353-9798 2353-9801 |
| language | English |
| last_indexed | 2024-04-09T20:32:21Z |
| publishDate | 2023-03-01 |
| publisher | Poznan University of Medical Sciences |
| record_format | Article |
| series | Journal of Medical Science |
| spelling | doaj.art-6774b0df184c4d54a9a031030e915da82023-03-30T12:57:16ZengPoznan University of Medical SciencesJournal of Medical Science2353-97982353-98012023-03-0192110.20883/medical.e724Formulation of a radiological scoring system to prognosticate patients with primary intracerebral haemorrhageKrishna Kumar0Harison Gopalan1Jayalakshmi Jayaprakash2Department of Neurosurgery, Government Thirumala Devaswom Medical College, Vandanam, Alappuzha, Kerala, IndiaGovernment Thirumala Devaswom Medical College, Vandanam, Alappuzha, Kerala, IndiaDepartment of Internal Medicine, Government Thirumala Devaswom Medical College, Vandanam, Alappuzha, Kerala, India Background. Primary intracerebral haemorrhage is a neurological condition associated with high morbidity and mortality. Outcome prediction is necessary to allocate the available resources in such cases judicially. Our study aims to identify the radiological predictors of in-hospital mortality based on a plain CT study of the brain at admission and to develop a prognostic scoring system based on them. Material and methods. We collected the clinical and radiological data from 182 consecutive patients who presented with primary spontaneous ICH. Bivariate analysis of radiological predictors of in-hospital mortality was undertaken using unadjusted logistic regression. Those variables found to have significance were put into a multivariate logistic regression model. The Results of multivariate logistic regression were treated as a foundation for developing the scoring system. Results. The mortality rate in our series was 23.6% (N = 43). After multivariate analysis, Midline shift (MLS), presence or absence of intraventricular haemorrhage (IVH), Volume of ICH and Location of haematoma were significant predictors of mortality. Based on the identified radiological variables, a five-score prognostic scoring system (AUROC = 0.925, 95% CI 0.887–0.964)) was developed, with higher scores indicating higher mortality. Conclusions. The established scoring system, MIVL, may help physicians to do better patient counselling regarding outcomes. https://jms.ump.edu.pl/index.php/JMS/article/view/724radiological scoreMIVL scoreprimary intracerebral haemorrhage |
| spellingShingle | Krishna Kumar Harison Gopalan Jayalakshmi Jayaprakash Formulation of a radiological scoring system to prognosticate patients with primary intracerebral haemorrhage Journal of Medical Science radiological score MIVL score primary intracerebral haemorrhage |
| title | Formulation of a radiological scoring system to prognosticate patients with primary intracerebral haemorrhage |
| title_full | Formulation of a radiological scoring system to prognosticate patients with primary intracerebral haemorrhage |
| title_fullStr | Formulation of a radiological scoring system to prognosticate patients with primary intracerebral haemorrhage |
| title_full_unstemmed | Formulation of a radiological scoring system to prognosticate patients with primary intracerebral haemorrhage |
| title_short | Formulation of a radiological scoring system to prognosticate patients with primary intracerebral haemorrhage |
| title_sort | formulation of a radiological scoring system to prognosticate patients with primary intracerebral haemorrhage |
| topic | radiological score MIVL score primary intracerebral haemorrhage |
| url | https://jms.ump.edu.pl/index.php/JMS/article/view/724 |
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