The Incidence and Risk Factors of Antimicrobial Resistance Acinetobacter Baumannii Bacteremia in Chonburi Hospital

Authors

  • Thanatchaporn Buttree Faculty of Pharmaceutical Sciences, Burapha University
  • Nuttawarit Nittayasupaporn Faculty of Pharmaceutical Sciences, Burapha University
  • Chotika Chailarp Faculty of Pharmaceutical Sciences, Burapha University
  • Titinun Auamnoy Faculty of Pharmaceutical Sciences, Burapha University
  • Kessarin Chaisiri Chonburi Hospital
  • Suthabordee Muongmee Faculty of Pharmaceutical Sciences, Burapha University

Keywords:

Incidence and risk factor, Antimicrobial Resistance, Acinetobacter baumannii

Abstract

Antimicrobial resistance Acinetobacter baumannii (A. baumannii) is a crucial health crisis which increase globally and it is increasing. Objectives: 1.To investigate the incidence and risk factors of antimicrobial resistance A.baumannii infection. 2.To identify death prediction model using logistic regression analysis.Method: A retrospective cross-section survey study was conducted at Chonburi Hospital between April, 2017 to March, 2018. The data were retrospectively collected from1-year medical records. Results: The incidence of the antimicrobial resistance from A.baumannii bacteremia was 137 patients. We found that patients with age lower than 65 years (63.5 %) was a significant (p=0.014) risk factor for death. The other factors namely- female gender (54 %), general wards (67.2 %), duration staying in the hospital before infections > 7 days (57.7 %) and an insertion of infusion tubes before infection (56.2 %), did not significantly. However, insertion of infusion tubes factor related to age were significant (p=0.004). Two drug related problems were found among the patients with antimicrobial resistance from  A. baumanii bacteremia. Firstly, antimicrobial under-treatment due to the Chonburi hospital guideline was found in 21 patients (25.30%). Secondly, improper drug selection was detected in 62 patients (74.70%). Finally, the prediction equation for death or survival was established via multiple logistic regression. The equation model to predict mortality was  Z = (-0.822) Female + (0.683) ICU - (0.552) Duration + (0.653) Tube + (19.396) DRP1 – (0.358) DRP2 – (0.895) Colistin +(0.359) Piperacillin-tazobactam – (0.310) Meropenem + (1.736) Age (Hit rate = 76.1%). Conclusion, the incidence and risk factors of antimicrobial resistance of A. baumannii infection was age which was also associated with drug related problem and incurred possibility of death.

Keywords: Incidence and risk factor, Antimicrobial resistance, Acinetobacter baumannii

Author Biographies

Thanatchaporn Buttree, Faculty of Pharmaceutical Sciences, Burapha University

0832889787

Nuttawarit Nittayasupaporn, Faculty of Pharmaceutical Sciences, Burapha University

0906829682

Chotika Chailarp, Faculty of Pharmaceutical Sciences, Burapha University

0634210460

Titinun Auamnoy, Faculty of Pharmaceutical Sciences, Burapha University

0830270015

Kessarin Chaisiri, Chonburi Hospital

0819456536

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Published

2021-04-30