The early prognosis at the bacterial meningitis

On the basis of the studying of clinical and laboratory sings of 150 cases of bacterial meningitis (BM) with the use of various statistical methods, including multivariate logistical regression analysis, the early prognostic criteria of the maximum risk and the relation of chances of the maximum ris...

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Main Authors: Yu. V. Lobzin, V. V. Pilipenko, M. V. Rezvansev
Format: Article
Language:Russian
Published: Journal Infectology 2014-09-01
Series:Журнал инфектологии
Subjects:
Online Access:https://journal.niidi.ru/jofin/article/view/10
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author Yu. V. Lobzin
V. V. Pilipenko
M. V. Rezvansev
author_facet Yu. V. Lobzin
V. V. Pilipenko
M. V. Rezvansev
author_sort Yu. V. Lobzin
collection DOAJ
description On the basis of the studying of clinical and laboratory sings of 150 cases of bacterial meningitis (BM) with the use of various statistical methods, including multivariate logistical regression analysis, the early prognostic criteria of the maximum risk and the relation of chances of the maximum risk of an acyclic (severe, complicated, including lethal) variant of a diseases were estimated. These criteria are: age of the patient ≥ 55 years, late hospitalisation (≥3 days of disease), the expressed disturbances of consciousness (coma), episodes of generalized cramps in acute period, presence of “focal” neurologic sings, also the CSF protein level ≥2,7 g/l, and also factor size «a glucose of CSF/glucose of serum» <0,2 at primary (diagnostic) Lp. Using of an offered logistical regression models allows to prognosticate an aciclic variant of BM with efficiency of 92 %, at specificity of 90,6 % and sensitivity of 93 % in some hours after getting to the hospital.
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spelling doaj-art-e9961c0b203f4ee7b86fcb47e1d1866c2025-08-20T04:00:07ZrusJournal InfectologyЖурнал инфектологии2072-67322014-09-0131535810.22625/2072-6732-2011-3-1-40-4725The early prognosis at the bacterial meningitisYu. V. Lobzin0V. V. Pilipenko1M. V. Rezvansev2St-Petersburg Medical Academy of Postgraduate Studies, Saint-PetersburgSt-Petersburg Medical Academy of Postgraduate Studies, Saint-PetersburgMilitary Medical Academy named by S.M. Kirov, Saint-PetersburgOn the basis of the studying of clinical and laboratory sings of 150 cases of bacterial meningitis (BM) with the use of various statistical methods, including multivariate logistical regression analysis, the early prognostic criteria of the maximum risk and the relation of chances of the maximum risk of an acyclic (severe, complicated, including lethal) variant of a diseases were estimated. These criteria are: age of the patient ≥ 55 years, late hospitalisation (≥3 days of disease), the expressed disturbances of consciousness (coma), episodes of generalized cramps in acute period, presence of “focal” neurologic sings, also the CSF protein level ≥2,7 g/l, and also factor size «a glucose of CSF/glucose of serum» <0,2 at primary (diagnostic) Lp. Using of an offered logistical regression models allows to prognosticate an aciclic variant of BM with efficiency of 92 %, at specificity of 90,6 % and sensitivity of 93 % in some hours after getting to the hospital.https://journal.niidi.ru/jofin/article/view/10bacterial meningitisdiagnosticsprognostic risk factorsearly prognosis multivariate logistic regression prognostic model
spellingShingle Yu. V. Lobzin
V. V. Pilipenko
M. V. Rezvansev
The early prognosis at the bacterial meningitis
Журнал инфектологии
bacterial meningitis
diagnostics
prognostic risk factors
early prognosis multivariate logistic regression prognostic model
title The early prognosis at the bacterial meningitis
title_full The early prognosis at the bacterial meningitis
title_fullStr The early prognosis at the bacterial meningitis
title_full_unstemmed The early prognosis at the bacterial meningitis
title_short The early prognosis at the bacterial meningitis
title_sort early prognosis at the bacterial meningitis
topic bacterial meningitis
diagnostics
prognostic risk factors
early prognosis multivariate logistic regression prognostic model
url https://journal.niidi.ru/jofin/article/view/10
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