New Prognostic Method for Estimation of Lipid Distress Syndrome Development in Patients with Chronic Hepatitis C

Аннотация

Objectives- to work out a prognostic method, based on clinical and laboratory data, which can predict the development of lipid distress syndrome in patients with chronic viral hepatitis C.

Material and methods. We studied the outcomes of chronic viral hepatitis C with respect to development of lipid distress syndrome in 267 patients who did not receive antiviral therapy during the observation period lasting for 1 to 7 years.

Results. Discriminant function analysis of the data acquired after examination of 167 patients helped us to work out a discriminative model of predicting the development of lipid distress syndromein patients with chronic viral hepatitis C in the absence of antiviral therapy. Cross-checking of prediction accuracy was carried out on the data of examination of other 100 patients.

Conclusion. The designed technique for predicting the development of lipid distress syndrome in patients with chronic hepatitis C is characterized by point estimates of sensitivity and prognostic value of the negative result equal to 100%.

Conflict of Interest: nothing to disclose.

Список литературы

1. Konstantinov DYu, Popova LL, Golik OO. KhronicheskiivirusnyigepatitCisostoyaniegepatobiliarnoisistemy.Samara, 2018. (InRuss.).

2. Tkachenko LI, Maleev VV, Sarieva DM. Lipid metabolism disorders in patients with chronic hepatitis C. Arkhiv vnutrennei meditsiny. 2015;6(26):50–6. (InRuss.).

3. Savel'ev VS, Petukhov VA. Lipidnyi distress-sindrom. Мoscow, 2010. (In Russ.).

4. Konstantinov DYu, Nedugov GV, Suzdaltsev AA, Konstantinova EA. Prognosis of the development of lipid distress syndrome in chronic viral hepatitis C. Infektsionnye bolezni2018;16(4):34–37. (In Russ.).doi: 10.20953/1729-9225-2018-4-34-37

Для цитирования

Konstantinov DYu., Nedugov GV., Popova LL., Konstantinova EA. New Prognostic Method for Estimation of Lipid Distress Syndrome Development in Patients with Chronic Hepatitis C. Science & Innovations in Medicine. 2019;Vol.4(1):16-19.

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