Araştırma Makalesi

Identification of Anaerobic Bacteria Isolated From Clinical Samples and Determination of Antibiotic Resistance Profiles

Cilt: 7 Sayı: 3 25 Ekim 2023
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Identification of Anaerobic Bacteria Isolated From Clinical Samples and Determination of Antibiotic Resistance Profiles

Öz

Objective: In this study, it was aimed to identify anaerobic bacteria isolated from various clinical samples, and to determine their antibiotic resistance by gradient method (E-test). Methods: The study was carried out between January 15 and November 1, 2021. The 213 of 863 samples were included in the study. Anaerobic strains were isolated by conventional methods and identified by an automated system. Antimicrobial susceptibility was determined by the gradient method according to the Clinical and Laboratory Standards Institute (CLSI) criteria. Results: Anaerobic bacteria were detected in 10.3% of the samples, aerobic/facultative anaerobic bacteria were detected in 34.8%, while growth was not observed in 54.9% of the samples. The 77% of the samples were abscess. The 72.7% of anaerobic bacteria were Gram positive bacteria, and 27.3% were Gram negative bacteria. The most common species were; Cutibacterium (22.7%), Actinomyces (18.3%), Prevotella (13.7%), Bacteroides (9.1%), Anaerococcus (9.1%), Clostridium species (9.1%). The antibiotic susceptibilities of all anaerobic bacteria were as following; moxifloxacin (95.5%), piperacillin-tazobactam (95.5%), amoxicillin-clavulanic acid (95.5%), cefoxitin (90.9%), meropenem (90.9%), clindamycin (77.3%), ampicillin (59.1%), and metronidazole (22.7%), respectively. The susceptibility rates of gram positive bacilli were 91.7% for ampicillin, amoxicillin-clavulanic acid, piperacillin-tazobactam, cefoxitin, moxifloxacin, meropenem, and 75% for clindamycin. In Gram positive cocci, susceptibility to ampicillin was 50%, susceptibility to amoxicillin-clavulanic acid, piperacillin-tazobactam, cefoxitin, clindamycin, moxifloxacin were 100%, and to meropenem was 75%. The susceptibility rates for Gram-negative bacilli were 0.0% for ampicillin, 100% for amoxicillin-clavulanic acid, piperacillin-tazobactam, moxifloxacin, meropenem, 83.3% for metronidazole, 66.7% for cefoxitin, and 50% for clindamycin. Conclusion: In our study, it was observed that the sensitivity rates for especially, metronidazole and ampicillin were low among anaerobic bacteria. The resistance profile of many anaerobic bacteria has changed significantly over the past decade, making the antimicrobial susceptibility of anaerobic bacteria unpredictable. For this reason, revealing and documenting local data on this subject at regular intervals will constitute an important reference for both empirical treatment, public health, and surveillance studies.

Anahtar Kelimeler

Destekleyen Kurum

Bu çalışma Tıpta Uzmanlık Tezi olarak Çukurova Üniversitesi Bilimsel Araştırma Projeleri tarafından TTU2020-13333 No’lu proje ile desteklenmiştir.

Proje Numarası

TTU2020-13333

Etik Beyan

Çukurova Üniversitesi Tıp Fakültesi Girişimsel Olmayan Klinik Araştırmalar Etik Kurulu’ndan onay alınmıştır (No: 104, Tarih: 02.10.2020).

Kaynakça

  1. REFERENCES 1. Sood A, Ray P, Angrup A. Antimicrobial susceptibility testing of anaerobic bacteria: In routine and research. Anaerobe. 2022; 75: 102559. doi: 10.1016/j.anaerobe.2022.102559.
  2. 2. Winn WC, Koneman EW, Allen SD, et al. The Anaerobic Bacteria (6. Baskı). Konemans Color Atlas and Textbook of Diagnostic Microbiology. Philadelphia: Lippincott Williams & Wilkins Publication, 2006: 877-944.
  3. 3. Nagy LE, Boyanova, Justesen US. How to isolate, identify and determine antimicrobial susceptibility of anaerobic bacteria in routine laboratories. Clin Microbiol Infect. 2018; 24(11): 1139-1148. doi: 0.1016/j.cmi.2018.02.008.
  4. 4. Hentges DJ. Anaerobes as normal flora. Anaerobic infections in humans, Finegold SM, George WL (Eds), San Diego, Elsevier Publications, 2012; p. 37e53.
  5. 5. Boyanova L, Kolarov R, Mitov I. Recent evolution of antibiotic resistance in the anaerobes as compared to previous decades. Anaerobe. 2015; 31: 4e10. doi: 10.1016/j.anaerobe.2014.05.004.
  6. 6. Clinical and Laboratory Standards Institute. Methods for antimicrobial susceptibility testing of anaerobic bacteria (9th Ed.), Document M11eA8, Wayne, PA, USA, 2019.
  7. 7. Byun JH, Kim M, Lee Y, et al. Antimicrobial Susceptibility Patterns of Anaerobic Bacterial Clinical Isolates From 2014 to 2016, Including Recently Named or Renamed Species. Ann Lab Med. 2019; 39: 190-199. doi: 10.3343/alm.2019.39.2.190.
  8. 8. Clinical and Laboratory Standards Institute (2012, January). Performance Standards for Antimicrobial Susceptibility Testing. Twenty-Second Informational Supplement, Document M100-S22, Clinical and Laboratory Standards Institute, Wayne PA, USA. https://m.ibric.org/miniboard/down.php?Board=exp_qna&filename=CLSI%20-%20M100%20S22E.pdf&id=531983&fidx=1 adresinden 30 Haziran 2023’de erişildi.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Tıbbi Bakteriyoloji, Tıbbi Enfeksiyon Ajanları

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

27 Ekim 2023

Yayımlanma Tarihi

25 Ekim 2023

Gönderilme Tarihi

30 Ağustos 2023

Kabul Tarihi

16 Eylül 2023

Yayımlandığı Sayı

Yıl 2023 Cilt: 7 Sayı: 3

Kaynak Göster

APA
Asgarova, T., Kibar, F., & Gümüş, H. H. (2023). Identification of Anaerobic Bacteria Isolated From Clinical Samples and Determination of Antibiotic Resistance Profiles. Journal of Biotechnology and Strategic Health Research, 7(3), 157-165. https://doi.org/10.34084/bshr.1352333
AMA
1.Asgarova T, Kibar F, Gümüş HH. Identification of Anaerobic Bacteria Isolated From Clinical Samples and Determination of Antibiotic Resistance Profiles. J Biotechnol and Strategic Health Res. 2023;7(3):157-165. doi:10.34084/bshr.1352333
Chicago
Asgarova, Tünzala, Filiz Kibar, ve Hatice Hale Gümüş. 2023. “Identification of Anaerobic Bacteria Isolated From Clinical Samples and Determination of Antibiotic Resistance Profiles”. Journal of Biotechnology and Strategic Health Research 7 (3): 157-65. https://doi.org/10.34084/bshr.1352333.
EndNote
Asgarova T, Kibar F, Gümüş HH (01 Ekim 2023) Identification of Anaerobic Bacteria Isolated From Clinical Samples and Determination of Antibiotic Resistance Profiles. Journal of Biotechnology and Strategic Health Research 7 3 157–165.
IEEE
[1]T. Asgarova, F. Kibar, ve H. H. Gümüş, “Identification of Anaerobic Bacteria Isolated From Clinical Samples and Determination of Antibiotic Resistance Profiles”, J Biotechnol and Strategic Health Res, c. 7, sy 3, ss. 157–165, Eki. 2023, doi: 10.34084/bshr.1352333.
ISNAD
Asgarova, Tünzala - Kibar, Filiz - Gümüş, Hatice Hale. “Identification of Anaerobic Bacteria Isolated From Clinical Samples and Determination of Antibiotic Resistance Profiles”. Journal of Biotechnology and Strategic Health Research 7/3 (01 Ekim 2023): 157-165. https://doi.org/10.34084/bshr.1352333.
JAMA
1.Asgarova T, Kibar F, Gümüş HH. Identification of Anaerobic Bacteria Isolated From Clinical Samples and Determination of Antibiotic Resistance Profiles. J Biotechnol and Strategic Health Res. 2023;7:157–165.
MLA
Asgarova, Tünzala, vd. “Identification of Anaerobic Bacteria Isolated From Clinical Samples and Determination of Antibiotic Resistance Profiles”. Journal of Biotechnology and Strategic Health Research, c. 7, sy 3, Ekim 2023, ss. 157-65, doi:10.34084/bshr.1352333.
Vancouver
1.Tünzala Asgarova, Filiz Kibar, Hatice Hale Gümüş. Identification of Anaerobic Bacteria Isolated From Clinical Samples and Determination of Antibiotic Resistance Profiles. J Biotechnol and Strategic Health Res. 01 Ekim 2023;7(3):157-65. doi:10.34084/bshr.1352333