Journal of cardiorespiratory research/Kardiorespirator tadqiqotlar jurnali 3-том 3-нөмір (2022)

Phenotypic Predictors and Biomarkers for Forecasting the Effectiveness of Antimicrobial Therapy

Мухсинов Фарход Мунисович, Ливерко Ирина Владимировна

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Аңдатпа

In order to assess the forecast of the effectiveness of antimicrobial therapy, phenotypic predictors characterizing the seriousness of the inflammatory process and the level of beta-lactamase activity (BLA) of blood serum were studied in 55 patients with exacerbation of chronic obstructive pulmonary disease and 40 patients with hospital-acquired pneumonia. According to the results, it was found that the serum beta-lactamase activity level is determined by phenotypic and clinical variables: age over 60 years, severe respiratory pathology, fever over 380, peripheral blood leukocyte level over 10x109, C-reactive protein over 40 mg/L and saturation less than 93%, correlating with an increase in UAV levels, and are predictors of low efficacy of treatment with beta-lactam antibiotics. A direct correlation was revealed between the level of serum beta-lactamase activity and the duration of antimicrobial therapy during the year (r=+0.86, p=0.001), the number of antimicrobial drugs prescribed simultaneously (r=+0.69, p=0.001), the fact of receiving beta-lactam reserve antibiotics – cefepime, imipenem, meropenem (r=+0.71, p=0.001), the fact of prescribing reserve antibiotics not related to the beta-lactam series – rifampicin, azithromycin, vancomycin, linezolid, levofloxacin (r=+0.59, p=0.001). Predicting the effectiveness of successful treatment with antibacterial drugs of the first-line beta-lactam group in the framework of evidence-based medicine, the need to determine the level of beta-lactamase activity of biological substrates is justified. Assessment of the level of beta-lactamase activity before the start of antibiotic therapy will reduce the unjustified use of beta-lactam antibiotics by up to 30%.

бета-лактамазная активностьэффективность антимикробной терапиибета-лактамные антибиотикипредикторы неэффективностипрогноз антибактериальной терапииbeta-lactamase activityeffectiveness of antimicrobial therapybeta-lactam antibioticspredictors of inefficiencyprognosis of antibacterial therapy

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Дәйексөз алу

APA 7
Мухсинов Фарход Мунисович & Ливерко Ирина Владимировна (2022). Phenotypic Predictors and Biomarkers for Forecasting the Effectiveness of Antimicrobial Therapy. Journal of cardiorespiratory research/Kardiorespirator tadqiqotlar jurnali, 3(3).
GOST R 7.0.5
Мухсинов Фарход Мунисович, Ливерко Ирина Владимировна Phenotypic Predictors and Biomarkers for Forecasting the Effectiveness of Antimicrobial Therapy // Journal of cardiorespiratory research/Kardiorespirator tadqiqotlar jurnali. 2022. Т. 3. № 3.
BibTeX
@article{мунисович2022,
  author  = {Мухсинов Фарход Мунисович and Ливерко Ирина Владимировна},
  title   = {Phenotypic Predictors and Biomarkers for Forecasting the Effectiveness of Antimicrobial Therapy},
  journal = {Journal of cardiorespiratory research/Kardiorespirator tadqiqotlar jurnali},
  year    = {2022},
  volume  = {3},
  number  = {3}
}
RIS
TY  - JOUR
AU  - Мухсинов Фарход Мунисович
AU  - Ливерко Ирина Владимировна
TI  - Phenotypic Predictors and Biomarkers for Forecasting the Effectiveness of Antimicrobial Therapy
JO  - Journal of cardiorespiratory research/Kardiorespirator tadqiqotlar jurnali
PY  - 2022
VL  - 3
IS  - 3
ER  -