Antibiotics Resistance, Sensitivity Pattern and Development of Antibiogram to Support Empirical Prescription in Health Facilities in South Senatorial District of Kwara State, Nigeria

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DOI: 10.21522/TIJPH.2013.09.03.Art004

Authors : Joseph Gbenga Solomon, Adekunle Ganiyu Salaudeen

Abstract:

A major concern in public health is Antibiotic resistance among pathogenic microorganisms. There are several organisms developing resistance to commonly used antibiotics in different locations and time. This study assessed patterns of antibiotic resistance in line with the WHO classification of antibiotics. A cross-sectional study was carried out from September 2020 to January 2021 in 4 randomly selected hospitals. Of all 442 patients recruited for this study, twenty-seven percent (122) were randomly selected for Antimicrobial Susceptibility Testing using the modified Kirby-Bauer disk diffusion method, and SPSS version 23 was used for analysis. The most predominant isolate was Staphylococcus aureus. Resistance by Staphylococcus aureus was noted against Amoxicillin, Trimethoprim-Sulfamethoxazole, Amoxicillin clavulanic acid, Gentamicin, and Cefuroxime. Resistance by E. coli against Chloramphenicol 80%, cefuroxime 100%, Trimethoprim-Sulfamethoxazole 83.3%, Resistance by Klebsiella spp; against Ampicillin Second and third-generation cephalosporin and Gentamicin 100%. Resistance by Streptococcus spp; Ampicillin 100% and Ampicillin cloxacillin 100%, cefuroxime 100%, and Ciprofloxacin 100%. Ciprofloxacin and levofloxacin were active against Salmonella species, Pseudomonas species, klebsiella, and Escherichia coli. Azithromycin, imipenem, and meropenem with high susceptibility to local bacterial isolates sample tested. The access group antibiotics showed a low susceptibility rate to local bacteria isolate with increase resistance to the watch group. Antibiogram was developed to guide empirical treatment type that is predominant in the district. Most bacteria isolated from health facilities in Kwara South were resistant to the access group. The resistance to watch a group of WHO antibiotics classification is building very fast.

Keywords: Antibiotic Resistance, Empirical Treatment, Susceptible.

References:

[1] World Health Organization (WHO). (2016). WHO | Antimicrobial resistance: global report on surveillance 2014 [Internet]. Antimicrobial resistance: global report on surveillance 2014. Available from: http://www.who.int/drugresistance/d http://www.who.int/drugresistance/documents/surveillancereport/en/%0A http://www.who.int/antimicrobial-resistance/publications/surveillancereport/en/%0A.

[2] Costelloe C, Metcalfe C, Lovering A, Mant D, Hay AD. (2010). Effect of antibiotic prescribing in primary care on antimicrobial resistance in individual patients: Systematic review and meta-analysis. Vol. 340, BMJ (Online). p. 1120.

[3] Bbosa GS, Mwebaza N, Odda J, Kyegombe DB, Ntale M. (2014). Antibiotics/antibacterial drug use, their marketing and promotion during the post-antibiotic golden age and their role in emergence of bacterial resistance. Health (Irvine Calif); 06(05): 410–25.

[4] Ferreira RL, Da Silva BCM, Rezende GS, Nakamura-Silva R, Pitondo-Silva A, Campanini EB, et al. (2019). High prevalence of multidrug-resistant klebsiella pneumoniae harboring several virulence and β-lactamase encoding genes in a brazilian intensive care unit. Front Microbiol; 10 (JAN).

[5] Okeke IN, Aboderin OA, Byarugaba DK, Ojo KK, Opintan JA. (2007). Growing problem of multidrug-resistant enteric pathogens in Africa. Emerg Infect Dis.; 13(11):1640–6.

[6] Oluyege AO, Dada AC, Ojo AM, Oluwadare E. (2009). Antibiotic resistance profile of bacterial isolates from food sold on a university campus in south western Nigeria. Vol. 8, African Journal of Biotechnology. p. 5883–7.

[7] Egwuenu A, Obasanya J, Okeke I, Aboderin O, Olayinka A, Kwange D, et al. (2018). Antimicrobial use and resistance in Nigeria: situation analysis and recommendations, 2017. Pan African Med J Conf Proc;2.

[8] Onubogu U, Anochie I. (2014). Empiric antibiotic prescription among febrile under-five Children in the University of Port Harcourt Teaching Hospital, Rivers State, Nigeria. Vol. 41, Nigerian Journal of Paediatrics. p. 234.

[9] Das P, Horton R. (2016). Antibiotics: Achieving the balance between access and excess. Vol. 387, The Lancet. p. 102–4.

[10] Bebell LM, Muiru AN. (2014). Antibiotic use and emerging resistance: How can resource-limited countries turn the tide? Vol. 9, Global Heart. p. 347–58.

[11] Al PAE. (2016). Antimicrobial Evaluation of Bacterial Isolates from Urine Specimen of Patients with Complaints of Urinary Tract Infections in Awka, Nigeria. Int J Microbiol; 9740273. Article ID 9740273, 6 pages http://dx.doi.org/10.115, (Article ID 9740273, 6 pages http://dx.doi.org/10.1155/2016/9740273).

[12] Ehinmidu JO. (2005). Antibiotics susceptibility patterns of urine bacterial isolates in Zaria, Nigeria. Trop J Pharm Res; 2(2):223–8.

[13] Udobi CE, Obajuluwa AF, Onaolapo JA. (2013). Prevalence and antibiotic resistance pattern of
methicillin-resistant staphylococcus aureus from an Orthopaedic hospital in Nigeria. Vol. 2013, BioMed Research International.

[14] Udo EE, Boswihi SS. (2017). Antibiotic Resistance Trends in Methicillin-Resistant Staphylococcus aureus Isolated in Kuwait Hospitals: 2011-2015. Med Princ Pract; 26(5):485–90.

[15] Nwankwo EO, Nasiru MS. (2011). Antibiotic sensitivity pattern of Staphylococcus aureus from clinical isolates in a tertiary health institution in Kano, Northwestern Nigeria. Pan Afr Med J.; 8:4.

[16] Okesola, A. O., & Aroundegbe TI. (2011). Antibiotic resistance pattern of uropathogenic Escherichia coli in South West Nigeria. African J Med Med Sci.; 40(3):235–238.

[17] CN A. (2005). Antimicrobial susceptibility pattern of Klebsiella species from Ebonyi State University Teaching Hospital Abakaliki, Nigeria. Niger J Clin Pract; 8(2):90–93.

[18] Jacobs MR, Bajaksouzian S, Zilles A, Lin G, Pankuch GA, Appelbaum PC. (1999). Susceptibilities of Streptococcus pneumoniae and Haemophilus influenzae to 10 oral antimicrobial agents based on pharmacodynamic parameters: 1997 U.S. surveillance study. Antimicrob Agents Chemother; 43(8):1901–8.