Development of prediction models of severity of leptospirosis

Defined and studied the signs that characterize he severity of leptospirosis. Specified clinical and laboratory parameters determined in patients in the initial stage of the disease. Showed signs that, despite its  on-specific, represent a high predictive value. On this basis, perhaps moreaccurately...

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Main Authors: S. O. Mayorova, Yu. V. Lobzin, S. G. Grigoriev, A. A. Yakovlev
Format: Article
Language:Russian
Published: Journal Infectology 2014-09-01
Series:Žurnal Infektologii
Subjects:
Online Access:https://journal.niidi.ru/jofin/article/view/37
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spelling doaj-ba4c3ba76ed641d39dadcd2346c53f982021-08-02T08:43:15ZrusJournal InfectologyŽurnal Infektologii 2072-67322014-09-0133323710.22625/2072-6732-2011-3-3-32-3751Development of prediction models of severity of leptospirosisS. O. Mayorova0Yu. V. Lobzin1S. G. Grigoriev2A. A. Yakovlev3Clinical Infectious Diseases Hospital named by S.P. Botkin,Saint-PetersburgSаint-Petersburg Medical Academy of Postgraduate Studies, Saint-PetersburgMilitary Medical Academy named by S.M. Kirov, Saint-PetersburgClinical Infectious Diseases Hospital named by S.P. Botkin,Saint-PetersburgDefined and studied the signs that characterize he severity of leptospirosis. Specified clinical and laboratory parameters determined in patients in the initial stage of the disease. Showed signs that, despite its  on-specific, represent a high predictive value. On this basis, perhaps moreaccurately predict the severity of the disease and, therefore, choose a more effective drug therapy in early and remote period of the disease, thereby providing medical assistance to more efficiently and effectively. Marked the most significant features to determine the severity of leptospirosis in the prehospital and emergency department, as well as in the department of infectious hospital for 1–2 day stay, the patient. The possibilities of development and use of multivariate mathematical-statistical models to predict the severity of disease variants at the initial examination the patient’s physician.https://journal.niidi.ru/jofin/article/view/37leptospirosisthe severity of the diseaseprognosis of the diseasediscriminant analysis
collection DOAJ
language Russian
format Article
sources DOAJ
author S. O. Mayorova
Yu. V. Lobzin
S. G. Grigoriev
A. A. Yakovlev
spellingShingle S. O. Mayorova
Yu. V. Lobzin
S. G. Grigoriev
A. A. Yakovlev
Development of prediction models of severity of leptospirosis
Žurnal Infektologii
leptospirosis
the severity of the disease
prognosis of the disease
discriminant analysis
author_facet S. O. Mayorova
Yu. V. Lobzin
S. G. Grigoriev
A. A. Yakovlev
author_sort S. O. Mayorova
title Development of prediction models of severity of leptospirosis
title_short Development of prediction models of severity of leptospirosis
title_full Development of prediction models of severity of leptospirosis
title_fullStr Development of prediction models of severity of leptospirosis
title_full_unstemmed Development of prediction models of severity of leptospirosis
title_sort development of prediction models of severity of leptospirosis
publisher Journal Infectology
series Žurnal Infektologii
issn 2072-6732
publishDate 2014-09-01
description Defined and studied the signs that characterize he severity of leptospirosis. Specified clinical and laboratory parameters determined in patients in the initial stage of the disease. Showed signs that, despite its  on-specific, represent a high predictive value. On this basis, perhaps moreaccurately predict the severity of the disease and, therefore, choose a more effective drug therapy in early and remote period of the disease, thereby providing medical assistance to more efficiently and effectively. Marked the most significant features to determine the severity of leptospirosis in the prehospital and emergency department, as well as in the department of infectious hospital for 1–2 day stay, the patient. The possibilities of development and use of multivariate mathematical-statistical models to predict the severity of disease variants at the initial examination the patient’s physician.
topic leptospirosis
the severity of the disease
prognosis of the disease
discriminant analysis
url https://journal.niidi.ru/jofin/article/view/37
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