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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Journal Infectology
2014-09-01
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Online Access: | https://journal.niidi.ru/jofin/article/view/37 |
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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 |
work_keys_str_mv |
AT somayorova developmentofpredictionmodelsofseverityofleptospirosis AT yuvlobzin developmentofpredictionmodelsofseverityofleptospirosis AT sggrigoriev developmentofpredictionmodelsofseverityofleptospirosis AT aayakovlev developmentofpredictionmodelsofseverityofleptospirosis |
_version_ |
1721237718442180608 |