RT Journal Article
SR Electronic
T1 Mathematical model for predicting the treatment effectiveness of MDR-TB based on Human-beta-defensin-1 level
JF European Respiratory Journal
JO Eur Respir J
FD European Respiratory Society
SP 1278
DO 10.1183/13993003.congress-2022.1278
VO 60
IS suppl 66
A1 O Pogorelova
A1 O Shevchenko
A1 I Ovcharenko
A1 O Hovardovska
A1 O Shvets
YR 2022
UL http://erj.ersjournals.com/content/60/suppl_66/1278.abstract
AB Currently used X-ray and laboratory methods for monitoring the effectiveness of TB treatment are not always convenient, because they give a delayed result, as in the case of sputum culture or are difficult to perform, for example, in patients with poor sputum production or patients not following instructions.The aim of the study was to develop mathematical model for predicting the treatment effectiveness of MDR-TB based on Human-beta-defensin-1 levelMaterials and methods: 50 patients with pulmonary MDR-TB were included in the study. A mathematical model was generated by discriminant functional analysis using Human-beta-defensin-1 (HBD-1) level at baseline, after 30 doses, and after 60 doses of treatment.Results: As a result of the discriminant functional analysis, a mathematical model was obtained for predicting the MDR-TB treatment effectiveness based on the HBD-1 levels at the beginning, after 30 doses and after 60 doses of anti-TB treatment:А = 0,1513*Def0 + 0,2661*Def30 + 0,1946Def60 - 28,4089В = -0,01995*Def0 + 0,12139*Def30 + 0,03918*Def60 - 1,37308where Def0 – HBD-1 at the treatment onset, Def30 – HBD-1 after 30 doses, Def60 – HBD-1 after 60 doses.If А>В, the prognosis is unfavorable.If А<В, the prognosis is favorable.Conclusions: The obtained mathematical model allows predicting MDR-TB treatment effectiveness based on Human-beta-defensin-1 level.FootnotesCite this article as Eur Respir J 2022; 60: Suppl. 66, 1278.This article was presented at the 2022 ERS International Congress, in session “-”.This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only).