Possibilities of mathematical definition of unfavourable course of subarachnoid haemorrhage in the acute period

Subarachnoid haemorrhage (SAH) is associated with a 30-day mortality rate of 50% and is one of the most life-threatening cerebrovascular diseases. Objective. Toevaluatetheprognosticsignificance and informativeness of some clinical indicators, highlighting the most optimal and reliable potential f...

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Main Author: K. Y. Polkovnikova
Format: Article
Language:English
Published: Zaporizhia Medical Academy of Post-Graduate Education Ministry of Health of Ukraine 2020-04-01
Series:Сучасні медичні технології
Subjects:
Online Access:https://zmapo-journal.com/index.php/journal/article/view/63
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author K. Y. Polkovnikova
author_facet K. Y. Polkovnikova
author_sort K. Y. Polkovnikova
collection DOAJ
description Subarachnoid haemorrhage (SAH) is associated with a 30-day mortality rate of 50% and is one of the most life-threatening cerebrovascular diseases. Objective. Toevaluatetheprognosticsignificance and informativeness of some clinical indicators, highlighting the most optimal and reliable potential factors in the development of a mathematical equation for calculating the personal probability of complications in patients with subarachnoid hemorrhage of atraumatic etiology. Materials and methods. A clinical experimental study involved 87 patients with SAH, 44 were men, 43 – women. On the first day after SAH, half of the patients were hospitalized – 46 people (52,87%). Results. The constructed model for calculating the probability of events such as secondary ischemia, hydrocephalus, or cerebral vasospasm over the next 14 days indicates the correctness and adequacy of the constructed model of logistic regression. The personal probability of a complication is calculated by the formula: p = 1 / (1 + e-z), where p is the % probability of a complication of SAH; z = –45,5 + 17,5* Copeptine –0.44 × Na + 0,06 × Age + 1,99 × Ball (Hunt-Hess). Conclusions. The prognostic model allows us to consider that secondary ischemia and cerebral vasospasm are not only predictors of poor prognosis and potential factors for the formation of complications, but also are indicators for the correct determination of individual cumulative risk in SAH.
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spelling doaj.art-8d5d2a2687734562baee48f6d0c52f5b2022-12-22T00:19:44ZengZaporizhia Medical Academy of Post-Graduate Education Ministry of Health of UkraineСучасні медичні технології2072-93672020-04-011(44)667110.34287/MMT.1(44).2020.1063Possibilities of mathematical definition of unfavourable course of subarachnoid haemorrhage in the acute periodK. Y. Polkovnikova0Comunal Institution «Zaporizhzhia Regional Clinical Hospital» of Zaporihzhy Regional CouncilSubarachnoid haemorrhage (SAH) is associated with a 30-day mortality rate of 50% and is one of the most life-threatening cerebrovascular diseases. Objective. Toevaluatetheprognosticsignificance and informativeness of some clinical indicators, highlighting the most optimal and reliable potential factors in the development of a mathematical equation for calculating the personal probability of complications in patients with subarachnoid hemorrhage of atraumatic etiology. Materials and methods. A clinical experimental study involved 87 patients with SAH, 44 were men, 43 – women. On the first day after SAH, half of the patients were hospitalized – 46 people (52,87%). Results. The constructed model for calculating the probability of events such as secondary ischemia, hydrocephalus, or cerebral vasospasm over the next 14 days indicates the correctness and adequacy of the constructed model of logistic regression. The personal probability of a complication is calculated by the formula: p = 1 / (1 + e-z), where p is the % probability of a complication of SAH; z = –45,5 + 17,5* Copeptine –0.44 × Na + 0,06 × Age + 1,99 × Ball (Hunt-Hess). Conclusions. The prognostic model allows us to consider that secondary ischemia and cerebral vasospasm are not only predictors of poor prognosis and potential factors for the formation of complications, but also are indicators for the correct determination of individual cumulative risk in SAH.https://zmapo-journal.com/index.php/journal/article/view/63notraumatic subarachnoid hemorrhagec. s. ogilvycopeptinsiadh syndromehyponatremiaprognosislogistic regression
spellingShingle K. Y. Polkovnikova
Possibilities of mathematical definition of unfavourable course of subarachnoid haemorrhage in the acute period
Сучасні медичні технології
notraumatic subarachnoid hemorrhage
c. s. ogilvy
copeptin
siadh syndrome
hyponatremia
prognosis
logistic regression
title Possibilities of mathematical definition of unfavourable course of subarachnoid haemorrhage in the acute period
title_full Possibilities of mathematical definition of unfavourable course of subarachnoid haemorrhage in the acute period
title_fullStr Possibilities of mathematical definition of unfavourable course of subarachnoid haemorrhage in the acute period
title_full_unstemmed Possibilities of mathematical definition of unfavourable course of subarachnoid haemorrhage in the acute period
title_short Possibilities of mathematical definition of unfavourable course of subarachnoid haemorrhage in the acute period
title_sort possibilities of mathematical definition of unfavourable course of subarachnoid haemorrhage in the acute period
topic notraumatic subarachnoid hemorrhage
c. s. ogilvy
copeptin
siadh syndrome
hyponatremia
prognosis
logistic regression
url https://zmapo-journal.com/index.php/journal/article/view/63
work_keys_str_mv AT kypolkovnikova possibilitiesofmathematicaldefinitionofunfavourablecourseofsubarachnoidhaemorrhageintheacuteperiod