Email this article Prediction of the development of lipid distress syndrome in patients with a sustained response to antiviral therapy of chronic hepatitis C
- Authors: Konstantinov D.Y.1, Konnova T.V.1
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Affiliations:
- Samara State Medical University
- Issue: Vol 19, No 5-6 (2019)
- Pages: 81-85
- Section: Clinical Medicine
- URL: https://journals.rcsi.science/2410-3764/article/view/34207
- DOI: https://doi.org/10.17816/2072-2354.2019.19.3.81-85
- ID: 34207
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Abstract
Aim. The purpose of the article is to devise the method for predicting the development of lipid distress syndrome in patients with a sustained response to antiviral therapy of chronic viral hepatitis C on the basis of clinical and laboratory data.
Materials and methods. The outcomes of lipid distress syndrome were studied in 235 patients with a sustained virological response to antiviral therapy of chronic hepatitis C during the follow-up period lasting from 1 to 10 years.
Results. From the perspective of the discriminative analysis of the data of the complex examination of 135 patients, we developed a discriminative model of predicting the development of lipid distress syndrome in patients with a sustained response to antiviral therapy of chronic hepatitis C. The cross-checking of the accuracy of prediction was carried out by the examination of other 100 patients.
Conclusion. Sensitivity, specificity, prognostic value of positive and negative prognostic results and the accuracy index of the developed discriminative model for predicting the development of lipid distress syndrome are equal to 100%.
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##article.viewOnOriginalSite##About the authors
Dmitry Yu. Konstantinov
Samara State Medical University
Author for correspondence.
Email: dk.samgmu@mail.ru
Candidate of Medical Sciences, Associate Professor, Department of Infectious Diseases with the Course of Epidemiology
Russian Federation, SamaraTatiana V. Konnova
Samara State Medical University
Email: konnova63@yandex.ru
Candidate of Medical Sciences, Associate Professor, Department of Infectious Diseases with the Course of Epidemiology
Russian Federation, SamaraReferences
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