Loading...

INTERNATIONAL JOURNAL OF VETERINARY AND ANIMAL MEDICINE (ISSN:2517-7362)

Cross-sectional study: Use of Antimicrobials in the Veterinary Clinics and Antibiotic Resistance

Crystal Cain1, Brandon R. Gines1, David McKenzie2, Teshome Yehualaeshet1 *

1 Department of Pathobiology,  College of Veterinary Medicine, Tuskegee University, Tuskegee, Alabama, United States
2 Departmment of Clinical Sciences, College of Veterinary Medicine, Tuskegee University, Tuskegee, Alabama, United States

CitationCitation COPIED

Yehualaeshet T. Cross-sectional study: Use of Antimicrobials in the Veterinary Clinics and Antibiotic Resistance. Int J Vet Anim Med. 2019 Jun;2(2):119

© 2019 Yehualaeshet T. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 international License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

Antibiotics are used for the treatment and control of many types of microbial infections in a wide variety of animals and human. Due to lack of prudent antibiotic use, antimicrobial resistance (AR) emerged global threat and pressing concern in public and animal health. AR is influenced by multifaceted interaction of human, agricultural production, and the environment. The objectives of this study were to perform cross-sectional data collection and analysis from veterinary clinics and antibiotic resistance patterns collected from diagnostic laboratory records. The pharmacy database from three animal hospitals was recorded for antibiotic use, prescribing practices, and personal opinions. AR data was collected from 88 recent clinical submissions and analyzed for the resistance/susceptibility of the isolates. The antibiotic classes commonly prescribed across the three veterinary clinics were cephalosporin, aminoglycoside, beta-lactam, quinolones, and tetracycline. Frequently prescribed antibiotic agents were to treat dermatological infections, respiratory infections, ear infections, and urinary infections as 24%, 15%, 14%, and 12%, respectively. Based on the records from veterinary diagnostic laboratory, the submitted clinical samples were from seven animal species out of which 66% were from canine. Forty-three antimicrobial drugs were included in the resistance assay panel. From all of the clinical isolates (n=88), sixteen bacterial species were identified, predominantly Staphylococcus (29), E. coli (29), and Pseudomonas species (11). In order to promote judicious use of antimicrobial use and resistance, it is critical to have adequate knowledge and database from the current clinical practice settings which require a multidisciplinary perspective under One Health Initiative and implement feasible guidelines and antimicrobial stewardship.

Keywords

Antibiotic; Resistance; Veterinary clinic; Bacteria

Introduction

Antimicrobials were first used as therapeutics in veterinary medicine for the treatment of mastitis in dairy cows shortly after the use of antimicrobials has increased to such an extent in intensive agricultural production techniques as feed supplements [1,2]. In recent years, antimicrobial resistance in bacteria of animal origin, including food-producing animals, and companion animals, fish and other aquatic animals as well as wild animals, has gained particular attention. Broader applications of antimicrobial agents have revolutionized medicine in many respects, but the application has been accompanied by a rapid appearance of resistant strains for many decades, resulting in a global health problem [3].

Overall, worldwide usage of antibiotics in both animal production and human medicine has increased in recent decades; agriculture accounts for the majority of drugs used, and the mass of antibiotics used for the production of terrestrial food animals is estimated to exceed the amount of drugs used in aquaculture [4]. Low and sub-therapeutic dose of antimicrobials plays very important role for the improvement of feed efficiency, promotion of animal growth, and prevention and control of the diseases [5,6]. In veterinary medicine, food-producing animals are often regarded as posing the greatest risk for the transmission of antimicrobial-resistant organisms to humans via the food chain. However, circumstantial evidence indicated that transmission of antimicrobial resistant bacteria bi-directionally between humans and household animals occur, which has implications for the treatment options available for veterinary use as well as the health of companion animal patients, their owners and caretakers. Infection with resistant organisms can lead to longer and more severe infections, increased mortality and higher costs for treatment [3,7].

Each year in the United States, at least 2 million people acquire serious infections with bacteria that are resistant to one or more of the antibiotics designed to treat those infections. At least 23,000 people die each year as a direct result of these antibiotic resistant infections. Many more die from other conditions that were complicated by an antibiotic resistant infection [8]. Several case studies have documented the presence of antibiotic-resistant bacterial strains in small animal veterinary medicine [9-11] including methicillin-resistant Staphylococcus aureus (MRSA). The resistant bacteria can be transferred between health care providers and patients and also between owners and their pets [12]. In the case of MRSA, veterinarians may also serve as reservoirs of resistant infections, and close contact between people and companion animals may also lead to the transfer of antimicrobial resistant bacteria in both directions. An effort is made to highlight the various factors that contribute to the emergence of antibiotic resistance in farm animals and to provide some insights into possible solutions to this major health issue [13,14]. The goal of the present study was to assess the current prescribing practices of therapeutic antibiotic in the veterinary clinics and analyze the antimicrobial resistance patterns which are essential to empower prudent use of antimicrobials and preserve the effectiveness of these important drugs in both human and veterinary medicine.

Materials and Methods

Data collection from veterinary clinics: Data were collected through questionnaire-based survey electronically sent to nine small animals and mixed animal’s veterinary clinics. Three veterinary clinics responded to the online excel survey file completed. The three veterinary clinics included in the questionnaire-based analysis are; VC-1 is a teaching veterinary hospital at the College of Veterinary Medicine, VC-2 and VC-3 are private veterinary clinics. The questionnaires focused on the pharmacy database to get the list of antimicrobial agents used and the prescribing practices. Furthermore, personal comments on frequently used antibiotics, and clinical experiences were included.

Antibiotic resistance: The antibiotic resistance data was collected from the diagnostic laboratory. Most of the samples submitted to the diagnostic laboratory were from veterinary clinic-1 (VC-1). A total of 88 recently submitted clinical samples were collected and analyzed against 43 antibiotics. The antibiogram tests were performed using Micro Scan auto Scan 4 (Biolog, Inc. Hayward, CA.) which is a semi automated instrument that utilized micro dilution panels containing frozen conventional substrates for identification of bacterial isolates and their antimicrobial resistance level [15].

Data Analysis: The collected data was compiled, statistical analyzed and tabulated using Microsoft Excel 11.5.5 (Microsoft; Redmond, WA, USA)

Results and Discussion

This study was intended to highlight the frequently used antimicrobials in animal clinics and analyze the antibiotic resistance patterns. Pharmacy data from veterinary clinics: In three of the veterinary clinical settings, the pharmacy database included 81 antibiotics (Figure 1). The antibiotics recorded in each veterinary clinics were 46, 10 and 25 from VC-1, VC-2 and VC-3, respectively. The common class of antibiotics recorded in all the veterinary clinics were, cephalosporin, amino glycoside, betalactam, quinolone, tetracycline and sulfonamide. The clinical cases frequently indicated to antibiotic treatments are summarized in (Figure 2). Based on the records, the major infections subjected to antibiotics treatment were dermatological infections (24%), respiratory infections (15%), ear infections (14%), and urinary infections (12%). Over all there are certain level of antibiotic awareness and antibiotic use guidelines available in the clinics.

Antibiotic resistance data: Randomly, 88 data records have been collected and analyzed from the recent clinical submissions for antibiogram tests. The veterinary diagnostic laboratory performs routine antimicrobial procedures supported by standard culture and semi automated Microscan procedures. The samples of origin were from 7 animal species out of which 66% of the samples were from canine (Figure 3). The rest samples were from avian, equine, feline, caprine, rabbit, and rat. About 9% records missed to register the animal source of the clinical specimen.

In general, 19 types of clinical specimens were submitted to the laboratory (Figure 4). The specimens were mainly from urine, (33%), ear swabs (11%), nasal swabs (6%), feces (6%), and vaginal swabs (5%). The antibiotic resistance test panel included 43 antibiotics, which is categorized to seven classes of antibiotics. Most of the antibiotics were categorized in betalactamine, cephalosporin and fluoroquinolone classes.

Based on our records, most frequently isolated bacteria were Staphylococcus spp, E. coli, and Pseudomonas (Table 1). In the assessment of the antimicrobial results, the resistant and susceptibility were considered as variables. The antimicrobial resistance panels’ results are summarized in (Graph 1, A-E).

A total of 20 Staphylococcus isolates categorized in five Staphylococcal spp (Staphylococcus xylosus, Staphylococcus sciuri, Staphylococcus hyicus, Staphylococcus cohnii and Staphylococcus aureus) were identified and assessed the antimicrobial profile patterns. Staphylococcus hyicus is sensitive to all tested antibiotics in the antibiotics panel except levofloxacin and ofloxacin. Staphylococcus cohnii, Staphylococcus aureus , Staphylococcus xylosus were fully susceptible for some antimicrobial agents none of the isolates were full resistance to any of the antibiotics. Staphylococcus sciuri isolates were fully resistant for ten of the antibiotics (Graph 2,3).

E. coli is strongly susceptible to ciproflaxin, levoflaxin, ticar/K clav and tabromycin. For the rest of antibiotics in the panel are differentially resistant/susceptible. The panel profile for Pseudomonas isolates looks partly similar to the E. coli pattern. All the Pseudomonas isolates were resistant to meropenem.

Antibiotic resistance has the potential to affect people at any stage of life, as well as the healthcare, veterinary, and agriculture industries, making it one of the world’s most urgent public health problems. Each year in the U.S., at least 2 million people are infected with antibiotic resistant bacteria, and at least 23,000 people die as a result [16]. Antimicrobial resistance is a critical and emerging threat to public health. In response to the need for improved antimicrobial usage, guidelines have been developed to direct treatment of common companion animal infections. However, studies indicating low awareness of these guidelines among veterinarians suggest that poor concordance of usage patterns with guideline recommendations might be expected [17].

Therefore, clinicians should use a variety of tools when deciding whether or not to prescribe an antibiotic and which antibiotic to use. As in human medicine, there is likely overuse and in appropriate use of antibiotics in veterinary medicine. Veterinarians should engage in discussions regarding clinically applicable guidelines for judicious use of antibiotic. Introduction Antibiotic resistance is of considerations. Shea et al. (2011) published if there was documentation of confirmed, suspected or no evidence of infection in veterinary practices. Their results showed that in 17% of therapeutic antibiotic prescriptions there was confirmed infection, in 45% suspected infection, and in 38% there was no documented evidence of infection.

Amoxicillin clavulanate was the most frequently prescribed antibiotic, followed by cefazolin/cephalexin, enrofloxacin, ampicillin/ amoxicillin and doxycycline. Doxycycline was the most frequently prescribed with no documented evidence of infection, and amoxicillinclavulanate was the most frequently prescribed with either confirmed or suspected evidence of infection [18].

In order to effectively prevent and control resistance, medical communities need to monitor and limit antibiotic use. Once a resistant strain has emerged, re-developing susceptibility to antimicrobial therapy is a difficult and lengthy process. Therefore, efforts should be focused on preventing the emergence of resistant strains through prudent use of antibiotics [16].

Due to a large overlap in antibiotics used in human and in small animal veterinary medicine, and because of the close and continuous contact many pet owners have with their dogs and cats, it is especially important to extend the focus of antimicrobial research to include use in small animal Medicine [19, 20]. In our study 29 Staphylococcus isolated were identifies with certain degree of resistance level. Other studies have provided evidence also that microbe such as Staphylococci can be readily transferred in both directions [21, 22]. Domestic pets, livestock, wild birds, and other animals have recently been identified as carriers of Methicillin-resistant S. aureus (MRSA) in several countries and settings.

In conclusion, there is a need to empower multidisciplinary perspective to control the emerging antimicrobial resistance under One Health Initiative. Furthermore, antimicrobial stewardship, feasible guidelines and related proactive educational components to the clinicians and the users will be central to mitigate the unwanted consequence of the resistance problem and prevail the therapeutic use of the drugs.


Figure 1: Antimicrobial classes listed from three veterinary clinics (number of antibiotics in each antibiotic class is in parentheses). VC1: Veterinary clinic (mixed animals clinic; VC-2 and VC-3: small animals private veterinary clinics


Figure 2: Percentage of infectious diseases commonly subjected to antibiotic treatment in the veterinary clinics


Figure 3: Percentage of animal species (in %) where the clinical samples were collected. 


Figure 4: Types of specimens submitted to the veterinary diagnostic laboratory for antibiotic resistance assay. 


Table 1: Identified bacteria from the clinical specimen submitted for antibiotic resistance.


Graph1, A-E: Resistance/susceptibility patterns of Staphylococcus isolates Resistance / susceptibility pattern of Staphylococcus spp. A: Staphylococcus xylosus (4), B: Staphylococcus sciuri (4), C: Staphylococcus hyicus (3), D: Staphylococcus cohnii (3), E: Staphylococcus aureus (6) R=Resistant, S=Susceptible, Number of isolates in parenthesis Y- -Axis =Number of isolates; X- -Axis =List of antibiotics


Graph 2: Resistance/susceptibility patterns of nine E. coli isolates


Graph 3: Resistance/susceptibility patterns of nine Pseudomonas isolates

Acknowledgement

We acknowledge Tuskegee University, College of Veterinary Medicine (TU-CVM) COE Grant # D34HP00001 for the financial support, Dr. Gopal Reddy for his technical and financial support (USDA 35-12650080), Dr. Mohamed Abdelrahman and Ms. Trenecka Collins for the technical support.

Conflict of Interest

No conflict of interest.

References

  1. Fleming A. On the antibacterial action of cultures of a penicillium,with special reference to their use in the isolation of B. influenzae.Br J Exp Pathol. 1929 Jun;10(3):226--236.
  2. Foley EG, Lee SW, Epstein JA. The effect of penicillin onstaphylococci and streptococci commonly associated with bovinemastitis. . J Milk Food Technol. 1946;8:129-133.
  3. Weese JS, Giguère S, Guardabassi L, Morley PS, Papich M, et al.ACVIM consensus statement on therapeutic antimicrobial use inanimals and antimicrobial resistance. J Vet Intern Med. 2015 MarApr;29(2):487-498.
  4. Martin MJ, Thottathil SE, Newman TB. Antibiotics Overuse inAnimal Agriculture: A Call to Action for Health Care Providers.Am J Public Health. 2015 Dec;105(12):2409-2410.
  5. Niewold TA. The nonantibiotic anti-inflammatory effect ofantimicrobial growth promoters, the real mode of action? Ahypothesis. Poult Sci. 2007 Apr;86(4):605-609.
  6. Dibner JJ, Richards JD. Antibiotic growth promoters in agriculture: history and mode of action. Poult Sci. 2005 Apr;84(4):634-643.
  7. Mateus AL, Brodbelt DC, Barber N, Stärk KD, et al. Qualitativestudy of factors associated with antimicrobial usage in sevensmall animal veterinary practices in the UK. Prev Vet Med. 2014Nov;117(1):68-78.
  8. CDC. Antibiotic Resitance Threas in the United States. Centers for Disease Control and Prevention. 2013.
  9. Faires MC, Gehring E, Mergl J, Weese JS. Methicillin-resistant Staphylococcus aureus in marine mammals. Emerg Infect Dis. 2009 Dec;15(12):2071-2072.
  10. Prescott JF, Hanna WJ, Reid-Smith R, Drost K. Antimicrobial druguse and resistance in dogs. Can Vet J. 2002 Feb;43(2):107-116.
  11. Warren A, Townsend K, King T, Moss S, O’Boyle D, et al. Multidrug resistant escherichia coli with extended-spectrum betalactamase activity and fluoroquinolone resistance isolated from clinical infections in dogs. Aust Vet J. 2001 Sep;79(9):621-623.
  12. Faires MC, Tater KC, Weese JS. An investigation of methicillinresistant Staphylococcus aureus colonization in people and petsin the same household with an infected person or infected pet. JAm Vet Med Assoc. 2009 Sep;235(5):540-543.
  13. Economou V, Gousia P. Agriculture and food animals as a source of antimicrobial-resistant bacteria. Infect Drug Resist. 2015 Apr;8:49-61.
  14. McLean CL, Ness MG. Meticillin-resistant Staphylococcusaureus in a veterinary orthopaedic referral hospital: staff nasalcolonisation and incidence of clinical cases. J Small Anim Pract.2008 Apr;49(4):170-7.
  15. O’Hara CM. Manual and automated instrumentation for identification of Enterobacteriaceae and other aerobic gramnegative bacilli. Clin Microbiol Rev. 2005 Jan;18(1):147-162.
  16. CDC. The AMR Challenge, Antibiotic / Antimicrobial Resistance(AR / AMR). Centers for Disease Control and Prevention. 2019.
  17. VET. Veterinary Emerging Topics Report. Bahnfield Pet Hospital. Are We Doing Our Part to Prevent Superbugs? Antimicrobial Usage Patterns AmongCompanion Animal Veterinarians. 2017.
  18. Wayne A, McCarthy R, Lindenmayer J. Therapeutic AntibioticUse Patterns in Dogs: Observations from a Veterinary TeachingHospital. J Small Anim Pract. 2011 Jun;52(6):310–318.
  19. Guardabassi L, Schwarz S, Lloyd DH. Pet animals as reservoirs of antimicrobial resistant bacteria. J Antimicrob Chemother. 2004 Aug;54(2):321-332.
  20. Morris DO, Rook KA, Shofer FS, Rankin SC. Screening ofStaphylococcus aureus, Staphylococcus intermedius, andStaphylococcus schleiferi isolates obtained from small companionanimals for antimicrobial resistance: a retrospective review of749 isolates (2003–04). Vet Dermatol. 2006 Oct;17(5):332-337.
  21. David MZ, Daum RS. Community-associated methicillin-resistantStaphylococcus aureus: epidemiology and clinical consequencesof an emerging epidemic. Clin Microbiol Rev. 2010 Jul;23(3):616-687.
  22. Rutland BE, Weese JS, Bolin C, Au J, Malani AN. Human-to-dogtransmission of methicillin-resistant Staphylococcus aureus.Emerg Infect Dis. 2009 Aug;15(8):1328-1330.