Forecast of the trichinosis severity

The objective was to develop a model for prediction of trichinellosis severity in the acute period of the disease based on the minimum but sufficient number of the most common and always investigated symptoms and syndromes that do not require a high qualification of medical staff and high-tech instr...

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Main Authors: V. I. Pustovoit, S. S. Kozlov, S. G. Grigoriev, E. Ya. Adoeva, V. S. Turitsin
Format: Article
Language:Russian
Published: Journal Infectology 2014-12-01
Series:Журнал инфектологии
Subjects:
Online Access:https://journal.niidi.ru/jofin/article/view/354
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author V. I. Pustovoit
S. S. Kozlov
S. G. Grigoriev
E. Ya. Adoeva
V. S. Turitsin
author_facet V. I. Pustovoit
S. S. Kozlov
S. G. Grigoriev
E. Ya. Adoeva
V. S. Turitsin
author_sort V. I. Pustovoit
collection DOAJ
description The objective was to develop a model for prediction of trichinellosis severity in the acute period of the disease based on the minimum but sufficient number of the most common and always investigated symptoms and syndromes that do not require a high qualification of medical staff and high-tech instrumental methods of a research. On the basis of a study of 106 case histories of trichinellosis patients a mathematical discriminant model was offered, based on some early clinical and laboratory signs (body temperature, presence of a swollen face, pain when moving a tongue, eosinophilia and signs of myocarditis development), which has a sufficiently high information capacity (86,8%) and is statistically significant (p<0,001) for predicting severity of trichinosis.
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spelling doaj.art-2d62c2efc97f400dab38e8cb0c6b99742023-09-03T09:18:12ZrusJournal InfectologyЖурнал инфектологии2072-67322014-12-0164394210.22625/2072-6732-2014-6-4-39-42368Forecast of the trichinosis severityV. I. Pustovoit0S. S. Kozlov1S. G. Grigoriev2E. Ya. Adoeva3V. S. Turitsin4Военно-медицинская академия имени С.М. Кирова, Санкт-Петербург, РоссияВоенно-медицинская академия имени С.М. Кирова, Санкт-Петербург, РоссияВоенно-медицинская академия имени С.М. Кирова, Санкт-Петербург, РоссияВоенно-медицинская академия имени С.М. Кирова, Санкт-Петербург, РоссияВоенно-медицинская академия имени С.М. Кирова, Санкт-Петербург, РоссияThe objective was to develop a model for prediction of trichinellosis severity in the acute period of the disease based on the minimum but sufficient number of the most common and always investigated symptoms and syndromes that do not require a high qualification of medical staff and high-tech instrumental methods of a research. On the basis of a study of 106 case histories of trichinellosis patients a mathematical discriminant model was offered, based on some early clinical and laboratory signs (body temperature, presence of a swollen face, pain when moving a tongue, eosinophilia and signs of myocarditis development), which has a sufficiently high information capacity (86,8%) and is statistically significant (p<0,001) for predicting severity of trichinosis.https://journal.niidi.ru/jofin/article/view/354трихинеллездискриминантная модельэозинофилия.
spellingShingle V. I. Pustovoit
S. S. Kozlov
S. G. Grigoriev
E. Ya. Adoeva
V. S. Turitsin
Forecast of the trichinosis severity
Журнал инфектологии
трихинеллез
дискриминантная модель
эозинофилия.
title Forecast of the trichinosis severity
title_full Forecast of the trichinosis severity
title_fullStr Forecast of the trichinosis severity
title_full_unstemmed Forecast of the trichinosis severity
title_short Forecast of the trichinosis severity
title_sort forecast of the trichinosis severity
topic трихинеллез
дискриминантная модель
эозинофилия.
url https://journal.niidi.ru/jofin/article/view/354
work_keys_str_mv AT vipustovoit forecastofthetrichinosisseverity
AT sskozlov forecastofthetrichinosisseverity
AT sggrigoriev forecastofthetrichinosisseverity
AT eyaadoeva forecastofthetrichinosisseverity
AT vsturitsin forecastofthetrichinosisseverity