CoChat
Sign Up
Cited by 71Antimicrobial Resistance in StaphylococcusAntibiotic Use and ResistanceAntibiotic Resistance in Bacteria

The DOI matches its Crossref record.

Antimicrobial susceptibility pattern of Staphylococcus aureus isolates from clinical specimens at Kenyatta National Hospital

Open access
Gitau, Wilfred, Masika, Moses, Musyoki, Moses, Museve, Beatrice, Mutwiri, Titus·2018·BMC Research Notes
DOI 10.1186/s13104-018-3337-2PMC PMC5883409
Open this paper in CoChat — free accountOpen PDF

Abstract

OBJECTIVE: To determine antibiotic susceptibility pattern of S. aureus isolates from clinical specimens collected from patients at Kenyatta National Hospital from March 2014-February 2016, and to determine the prevalence and quarterly trends of MRSA throughout the study period. RESULTS: A total of 944 S. aureus isolates were analyzed. High sensitivity of S. aureus was observed for quinupristin/dalfopristin (100%), tigecycline (98.2), imipenem (98%), nitrofurantoin (97.6%), linezolid (97.3%), teicoplanin (97.1%) and vancomycin (95.1%). High resistance was recorded against penicillin G (91.9%), trimethoprim/sulfamethoxazole (56.9%) and tetracycline (33.2%). MRSA prevalence among the patients at KNH was 27.8%. Highest proportion (80%) of MRSA was in burns unit. Both MRSA and MSSA were highly susceptible to quinupristin/dalfopristin, tigecycline, linezolid, nitrofurantoin, ampicillin/sulbactam and vancomycin and showed high resistance to commonly used antibiotics such as gentamycin, erythromycin, levofloxacin and tetracycline. A majority of isolates were from pus specimen (68%).

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s13104-018-3337-2

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 25

  1. Pantosti A, Sanchini A, Monaco M. Mechanisms of antibiotic resistance in Staphylococcus aureus. Future Microbiol. 2007;2:323–34. · DOI
  2. Loomba PS, Taneja J, Mishra B. Methicillin and vancomycin resistant S. aureus in hospitalized patients. J. Glob Infect Dis. 2010;2:275–83. · DOI
  3. Espedido BA, Gosbell IB. Chromosomal mutations involved in antibiotic resistance in Staphylococcus aureus. Front Biosci. 2012;4:900–15.
  4. Kumar M. Multidrug-resistant Staphylococcus aureus, India, 2013–2015. Emerg Infect Dis. 2016;22:1666–7. · DOI
  5. Maina EK, Kiiyukia C, Wamae CN, Waiyaki PG, Kariuki S. Characterization of methicillin-resistant Staphylococcus aureus from skin and soft tissue infections in patients in Nairobi, Kenya. Int J Infect Dis. 2013;17:e115–9. · DOI
  6. Aiken AM, Mutuku IM, Sabat AJ, Akkerboom V, Mwangi J, Scott JAG, et al. Carriage of Staphylococcus aureus in Thika Level 5 Hospital, Kenya: a cross-sectional study. Antimicrob Resist Infect Control. 2014;3:22. · DOI
  7. Israel GD. Determining sample size 1. Gainesville: Inst. Food Agric. Sci., Univ. Florida; 1992. p. 1–5.
  8. Soltani R, Khalili H, Rasoolinejad M, Abdollahi A. Antimicrobial susceptibility pattern of Staphylococcus aureus strains isolated from hospitalized patients in Tehran, Iran. Iran J Pharm Sci. 2010;6:125–32.
  9. Obiazi HAK, Ekundayo AO, Ukwandu NCD. Prevalence and antibiotic susceptibility pattern of Staphylococcus aureus from clinical isolates grown at 37 and 44 °C from Irrua, Nigeria. African J Microbiol Res. 2007;1:57–60.
  10. Arianpoor A, Estaji F, Naderinasab M, Askari E. Antimicrobial susceptibility pattern of Staphylococcus aureus Isolates against newly marketed antibiotics. J Ayub Med Coll Abbottabad. 2015;3:3–6.
  11. Rayner C, Munckhof WJ. Antibiotics currently used in the treatment of infections caused by Staphylococcus aureus. Intern Med J. 2005;35(Suppl 2):3–16. · DOI
  12. Rutare S. Prevalence of methicillin resistant Staphylococcus aureus (MRSA) among paediatric patients admitted in intensive care unit and neonatal intensive care unit at Kenyatta national hospital-Nairobi. Kenya: University of Nairobi; 2013.
  13. Naik D, Teclu A. A study on antimicrobial susceptibility pattern in clinical isolates of Staphylococcus aureus in Eritrea. Pan Afr Med J. 2009;3:1.
  14. Nwankwo EO, Nasiru MS. Antibiotic sensitivity pattern of Staphylococcus aureus from clinical isolates in a tertiary health institution in Kano, Northwestern Nigeria. Pan Afr Med J. 2011;8:4.
  15. Iileka AEK, Mukesi M, Engelbrecht F, Moyo SR. Antimicrobial susceptibility patterns of Staphylococcus aureus strains isolated at the Namibia Institute of Pathology from 2012 to 2014. Open J Med Microbiol. 2012;2016:116–24.
  16. Ojulong J, Mwambu TP, Joloba M, Bwanga F, Kaddu-Mulindwa DH. Relative prevalence of methicilline resistant Staphylococcus aureus and its susceptibility pattern in Mulago Hospital, Kampala, Uganda. Tanzan J Health Res. 2009;11:149–53. · DOI
  17. Dibah S, Arzanlou M, Jannati E, Shapouri R. Prevalence and antimicrobial resistance pattern of methicillin resistant Staphylococcus aureus (MRSA) strains isolated from clinical specimens in Ardabil, Iran. Iran J Microbiol. 2014;6:163–8.
  18. Funke G, Funke-Kissling P. Performance of the new VITEK 2 GP card for identification of medically relevant Gram-positive cocci in a routine clinical laboratory. J Clin Microbiol. 2005;43:84–8. · DOI
  19. Omuse G, Kabera B, Revathi G. Low prevalence of methicillin resistant Staphylococcus aureus as determined by an automated identification system in two private hospitals in Nairobi, Kenya: a cross sectional study. BMC Infect Dis. 2014;14:669. · DOI
  20. Wertheim HFL, Vos MC, Boelens HAM, Voss A, Vandenbroucke-Grauls CMJE, Meester MHM, et al. Low prevalence of methicillin-resistant Staphylococcus aureus (MRSA) at hospital admission in the Netherlands: the value of search and destroy and restrictive antibiotic use. J Hosp Infect. 2004;56:321–5. · DOI
  21. Crowley E, Bird P, Fisher K, Goetz K, Boyle M, Benzinger MJJ, et al. Evaluation of the VITEK 2 gram positive (GP) microbial identification test card: collaborative study. J AOAC Int. 2012;95:1425–32. · DOI
  22. Mir BA. Prevalence and antimicrobial susceptibility of methicillin resistant Staphylococcus aureus and coagulase-negative Staphylococci in a tertiary care hospital. Asian J Pharm Clin Res. 2013;6:23–6.
  23. Brown PD, Ngeno C. Antimicrobial resistance in clinical isolates of Staphylococcus aureus from hospital and community sources in southern Jamaica. Int J Infect Dis. 2007;11:220–5. · DOI
  24. Joshi S, et al. Methicillin resistant Staphylococcus aureus (MRSA) in India: prevalence & susceptibility pattern. Indian J Med Res. 2013;137:363–9.
  25. Moreillon P. New and emerging treatment of Staphylococcus aureus infections in the hospital setting. Clin Microbiol Infect. 2008;14(Suppl 3):32–41. · DOI

Cited by

Sorted by citations

See all 71

Metadata

Authors
Gitau, W., Masika, M., Musyoki, M., Museve, B., & Mutwiri, T.
Affiliations
  • University of Nairobi (KE)
  • Kenyatta National Hospital (KE)
  • Kenya Methodist University (KE)
ORCID
Venue
BMC Research Notes
Publisher
Springer Science and Business Media LLC
Published
2018-04-03
Volume
11
Issue
1
Pages
226-226
ISSN
1756-0500 (ISSN-L)
DOI
10.1186/s13104-018-3337-2
PMC
PMC5883409
OpenAlex
W2806969632
Cited by
71
References
0
Citations by year
2026: 4 · 2025: 9 · 2024: 8 · 2023: 8 · 2022: 12 · 2021: 14 · 2020: 7 · 2019: 7 · 2018: 2
FWCI
5.67
Type
journal article
Language
en
Open access
Licence
Locations
  • BMC Research Notes (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Greater South Information System
Topics
  • Health Sciences › Medicine › Infectious Diseases › Antimicrobial Resistance in Staphylococcus
  • Health Sciences › Medicine › Infectious Diseases › Antibiotic Use and Resistance
  • Health Sciences › Medicine › Microbiology (medical) › Antibiotic Resistance in Bacteria
Keywords
Staphylococcus aureus, antimicrobial susceptibility, methicillin-resistant Staphylococcus aureus, MRSA prevalence, antibiotic resistance, clinical isolates, burn unit, Kenyatta National Hospital, tetracycline resistance, trimethoprim-sulfamethoxazole resistance, quinupristin/dalfopristin, tigecycline, linezolid, vancomycin
MeSH terms
Anti-Bacterial Agents, Cross Infection, Hospitals, Humans, Kenya, Microbial Sensitivity Tests, Retrospective Studies, Staphylococcal Infections, Staphylococcus aureus, Drug Resistance, Bacterial, Methicillin-Resistant Staphylococcus aureus

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review