Abstract
International guidelines recommend using local susceptibility data to direct empiric therapy for acute uncomplicated cystitis. We evaluated outpatient urinary isolate susceptibility trends in New York State. Nitrofurantoin had the lowest resistance prevalence whereas trimethoprim-sulfamethoxazole and fluoroquinolones had higher prevalences. This study highlights the need for local outpatient antimicrobial stewardship programs.
Keywords: antibiogram, antimicrobial resistance, New York State, urinary tract infection
Acute uncomplicated cystitis is a prevalent outpatient condition [1, 2]. It is estimated that there are approximately 6–8 million annual visits to a physician or clinic by patients for treatment of an acute uncomplicated cystitis event [3, 4]. Treatment guidelines for acute uncomplicated cystitis in premenopausal, nonpregnant women are well defined in international guidelines [2]. In these international guidelines, empiric treatment recommendations are provided, but these empiric recommendations are accompanied by the caveat that empiric antibiotic selection should be guided by local organism susceptibility data and patient-specific risk factors.
Although treatment selection for acute uncomplicated cystitis was straightforward in the past, management of these conditions has been complicated by reports of rising antibiotic resistance rates for several key urinary pathogens. It is important to note that much of the data that describe rising rates of resistance for uncomplicated cystitis pathogens were derived from hospitalized inpatients with urinary tract infections. Data that describe outpatient resistance rates are consistent with published inpatient reports but are limited [5]. It is also unclear if resistance rates among acute uncomplicated cystitis pathogens are applicable to all age groups, and to both men and women. Given these gaps in the literature, this study sought to describe the prevalence and resistance patterns of urinary pathogens in New York State in the outpatient setting. The intent was to use these data to help inform treatment decisions for patients who present with uncomplicated cystitis in the outpatient setting and to assess the appropriateness of empiric treatment recommendations found in national guidelines for New York State.
METHODS
A retrospective analysis was conducted on all urine cultures received from outpatient settings (defined as physician offices or outpatient clinics), with antimicrobial susceptibility testing performed from January 1, 2016, to December 31, 2016, at a major clinical microbiology reference laboratory (Quest Diagnostics Laboratory, Teterboro, NJ). As antimicrobial testing is not routinely recommended for Streptococcus agalactiae and Staphylococcus saprophyticus, these organisms were not included in the analysis. Data from 17 New York State counties were included in the overall sample (Table 1). Urine cultures demonstrating 1 or 2 bacterial isolates at >105 colony-forming units/mL were included (only the first reported isolate from dual infections was included). In accordance with standards for summarizing antimicrobial susceptibilities for antibiograms, each species required a minimum of 30 isolates for inclusion in antimicrobial susceptibility estimates.
Table 1. .
Microorganism | Na | Ampicillin | Ceftazidime | Cefazolin | Ciprofloxacin | Nitrofurantoin | Pip-Tazo | Tobramycin | TMP-SMX | Tetracycline |
---|---|---|---|---|---|---|---|---|---|---|
Overallb | ||||||||||
Gram-negative | ||||||||||
Citrobacter diversus | 933 | 100 | 99 | 90 | 99 | 100 | 99 | |||
Citrobacter freundii | 316 | 93 | 95 | 95 | 94 | 98 | 85 | |||
Enterobacter aerogenes | 785 | 93 | 99 | 30 | 97 | 100 | 99 | |||
Enterobacter cloacae | 404 | 91 | 94 | 44 | 96 | 86 | ||||
Escherichia coli | 50 900 | 53 | 99 | 95 | 78 | 97 | 97 | 90 | 73 | |
Klebsiella pneumoniae | 7734 | 100 | 98 | 95 | 42 | 95 | 96 | 90 | ||
Proteus mirabilis | 3389 | 79 | 99 | 91 | 90 | 100 | 95 | 87 | ||
Providencia rettgeri | 43 | 93 | 85 | 95 | ||||||
Pseudomonas aeruginosa | 1051 | 94 | 76 | 92 | 95 | |||||
Serratia marcescens | 264 | 100 | 98 | 88 | 97 | |||||
Stenotrophomonas maltophila | 53 | 100 | ||||||||
Gram-positive | ||||||||||
Methicillin-sensitive Staphylococcus aureus | 825 | 85 | 98 | 98 | 89 | |||||
Methicillin-resistant Staphylococcus aureus | 326 | 25 | 97 | 96 | 83 | |||||
Vancomycin-sensitive Enterococcus spp. | 9281 | 100 | 99 | |||||||
Vancomycin-resistant Enterococcus faecium | 35 | 94 | 97 | |||||||
Females <18 yc | ||||||||||
Gram-negative | ||||||||||
Escherichia coli | 3872 | 41 | 99 | 97 | 91 | 98 | 91 | 74 | ||
Klebsiella pneumoniae | 281 | 100 | 97 | 97 | 46 | 98 | 92 | |||
Proteus mirabilis | 264 | 80 | 100 | 89 | 96 | 94 | 88 | |||
Pseudomonas aeruginosa | 71 | 97 | 100 | 100 | ||||||
Gram-positive | ||||||||||
Enterococcus spp. | 441 | 100 | 100 | |||||||
Methicillin-sensitive Staphylococcus aureus | 61 | 93 | 98 | 97 | 92 | |||||
Females 18–64 yd | ||||||||||
Gram-negative | ||||||||||
Citrobacter diversus | 498 | 100 | 100 | 92 | 100 | 99 | ||||
Citrobacter freundii | 91 | 99 | 97 | 96 | 98 | 88 | ||||
Enterobacter aerogenes | 433 | 96 | 99 | 16 | 100 | 100 | ||||
Enterobacter cloacae | 126 | 91 | 98 | 46 | 98 | 86 | ||||
Escherichia coli | 29 180 | 57 | 99 | 97 | 84 | 98 | 92 | 75 | ||
Klebsiella pneumoniae | 3642 | 100 | 97 | 86 | 38 | 87 | 80 | |||
Proteus mirabilis | 1486 | 84 | 100 | 94 | 96 | 97 | 91 | |||
Pseudomonas aeruginosa | 109 | 94 | 84 | 95 | ||||||
Serratia marcescens | 67 | 100 | 100 | 88 | 97 | |||||
Gram-positive | ||||||||||
Methicillin-sensitive Staphylococcus aureus | 430 | 92 | 98 | 99 | 87 | |||||
Methicillin-resistant Staphylococcus aureus | 105 | 54 | 94 | 98 | 65 | |||||
Vancomycin-sensitive Enterococcus spp. | 4425 | 100 | 99 | |||||||
Females >64 ye | ||||||||||
Gram-negative | ||||||||||
Citrobacter diversus | 190 | 98 | 98 | 86 | 99 | 97 | ||||
Citrobacter freundii | 140 | 91 | 93 | 97 | 100 | 88 | ||||
Enterobacter aerogenes | 154 | 88 | 100 | 55 | 100 | 99 | ||||
Enterobacter cloacae | 123 | 92 | 98 | 47 | 96 | 88 | ||||
Escherichia coli | 13 156 | 53 | 99 | 92 | 67 | 96 | 88 | 71 | ||
Klebsiella pneumoniae | 2781 | 46 | 21 | 43 | 34 | |||||
Proteus mirabilis | 978 | 76 | 99 | 88 | 84 | 95 | 83 | |||
Pseudomonas aeruginosa | 312 | 97 | 85 | 98 | ||||||
Serratia marcescens | 37 | 100 | 97 | 86 | 100 | |||||
Gram-positive | ||||||||||
Methicillin-sensitive Staphylococcus aureus | 106 | 74 | 98 | 100 | 91 | |||||
Methicillin-resistant Staphylococcus aureus | 79 | 11 | 99 | 94 | 94 | |||||
Vancomycin-sensitive Enterococcus spp. | 1843 | 100 | 98 | |||||||
Males <18 yf | ||||||||||
Gram-negative | ||||||||||
Escherichia coli | 126 | 52 | 99 | 94 | 91 | 98 | 92 | 72 | ||
Klebsiella pneumoniae | 21 | 100 | 97 | 99 | 46 | 100 | 91 | |||
Proteus mirabilis | 108 | 70 | 100 | 86 | 96 | 93 | 85 | |||
Gram-positive | ||||||||||
Vancomycin-sensitive Enterococcus spp. | 124 | 99 | 100 | |||||||
Males 18–64 yg | ||||||||||
Gram-negative | ||||||||||
Citrobacter diversus | 96 | 100 | 100 | 95 | 100 | 100 | ||||
Enterobacter aerogenes | 83 | 87 | 98 | 30 | 100 | 94 | ||||
Enterobacter cloacae | 34 | 97 | 94 | 38 | 97 | 88 | ||||
Escherichia coli | 1862 | 48 | 99 | 96 | 70 | 97 | 85 | 69 | ||
Klebsiella pneumoniae | 318 | 100 | 98 | 99 | 41 | 99 | 94 | |||
Proteus mirabilis | 157 | 72 | 99 | 85 | 83 | 93 | 80 | |||
Pseudomonas aeruginosa | 139 | 93 | 65 | 93 | ||||||
Serratia marcescens | 54 | 100 | 98 | 89 | 96 | |||||
Gram-positive | ||||||||||
Methicillin-sensitive Staphylococcus aureus | 68 | 84 | 100 | 97 | 93 | |||||
Vancomycin-sensitive Enterococcus spp. | 990 | 100 | 99 | |||||||
Males >64 yh | ||||||||||
Gram-negative | ||||||||||
Citrobacter diversus | 104 | 100 | 97 | 88 | 99 | 97 | ||||
Citrobacter freundii | 49 | 86 | 96 | 90 | 94 | 72 | ||||
Enterobacter aerogenes | 93 | 89 | 97 | 23 | 100 | 99 | ||||
Enterobacter cloacae | 91 | 89 | 85 | 37 | 93 | 81 | ||||
Escherichia coli | 2704 | 43 | 98 | 92 | 51 | 94 | 82 | 64 | ||
Klebsiella pneumoniae | 691 | 100 | 98 | 95 | 45 | 97 | 92 | |||
Proteus mirabilis | 396 | 74 | 98 | 87 | 75 | 92 | 82 | |||
Pseudomonas aeruginosa | 405 | 92 | 66 | 93 | ||||||
Serratia marcescens | 90 | 100 | 97 | 90 | 97 | |||||
Gram-positive | ||||||||||
Methicillin-sensitive Staphylococcus aureus | 145 | 70 | 99 | 98 | 94 | |||||
Methicillin-resistant Staphylococcus aureus | 110 | 7 | 99 | 96 | 92 | |||||
Vancomycin-sensitive Enterococcus spp. | 1458 | 100 | 99 |
The 17 New York counties are Albany, Bronx, Dutchess, Fulton, Greene, Kings, Nassau, New York, Orange, Putnam, Queens, Richmond, Rockland, Suffolk, Sullivan, Ulster, and Westchester.
Abbreviations: Pip-Tazo, piperacillin-tazobactam; TMP-SMX, trimethoprim/sulfamethoxazole.
aN = total number of antimicrobial testing results.
bData not shown for 1739 coagulase-negative staphylococci.
Organisms not reported due to <30 isolates in the reporting group:
cFemales <18 years: Citrobacter diversus (29 isolates), Citrobacter freundii (11), Enterobacter aerogenes (19), Enterobacter cloacae (27), methicillin-resistant S. aureus (5), Providencia rettgeri (1), Serratia marcescens (7), Staphylococcus haemolyticus (9), Staphylococcus hominis spp. hominis (4), Staphylococcus ludgunensis (1), Staphylococcus simulans (25), Stenotrophomonas maltophila (2), vancomycin-resistant Enterococcus faecium (0).
dFemales 18–64 years: Providencia rettgeri (5), Providencia stuartii (4), Staphylococcus hominis spp. hominis (9), Staphylococcus ludgunensis (29), Stenotrophomonas maltophila (8), vancomycin-resistant Enterococcus faecium (3).
eFemales >64 years: Providencia rettgeri (16), Providencia stuartii (13), Staphylococcus hominis spp. hominis (10), Staphylococcus ludgunensis (25), Staphylococcus simulans (28), Stenotrophomonas maltophila (10), vancomycin-resistant Enterococcus faecium (11).
fMales <18 years: Citrobacter diversus (16), Citrobacter freundii (4), Enterobacter aerogenes (3), Enterobacter cloacae (3), Klebsiella pneumoniae (21), methicillin-resistant S. aureus (0), methicillin-sensitive S. aureus (15), Providencia rettgeri (1), Pseudomonas aeruginosa (15), Serratia marcescens (9), Staphylococcus haemolyticus (9), Staphylococcus hominis spp. hominis (3), Staphylococcus ludgunensis (0), Staphylococcus simulans (24), Stenotrophomonas maltophila (1), vancomycin-resistant Enterococcus faecium (0).
gMales 18–64 years: Citrobacter freundii (21), methicillin-resistant S. aureus (27), Providencia rettgeri (2), Providencia stuartii (2), Staphylococcus hominis spp. hominis (11), Staphylococcus ludgunensis (7), Staphylococcus simulans (1), Stenotrophomonas maltophila (8), vancomycin-resistant Enterococcus faecium (2).
hMales >64 years: Providencia rettgeri (18), Providencia stuartii (13), Staphylococcus hominis spp. hominis (28), Staphylococcus ludgunensis (25), Staphylococcus simulans (16), Stenotrophomonas maltophila (24), vancomycin-resistant Enterococcus faecium (19).
Urine pathogens were isolated from bi-plates of Trypticase Soy Agar with 5% Sheep Blood (TSA II) and MacConkey II Agar, followed by identification and automated drug susceptibility testing (Vitek-2). Antimicrobials tested included ampicillin, ceftazidime, cefazolin, ciprofloxacin, nitrofurantoin, piperacillin-tazobactam, trimethoprim-sulfamethoxazole, tetracycline, oxacillin, and vancomycin, as appropriate. Minimum inhibitory concentration (MIC) susceptibility interpretations were derived from CLSI M100 S-25 [6]. Antibiotic sensitivity percentages are reported as number of susceptible isolates divided by number of isolates tested. Susceptibility was reported overall and by sex and age (children: ≤17 years; adults: 18–64 years; and older adults: ≥65 years). Chi-square tests or Fisher exact tests were used to compare the overall prevalence of bacterial resistance within and between agents tested and between age and sex groups.
RESULTS
A total of 78 078 urine culture susceptibility reports were included (Table 1). The majority of the urine cultures were obtained from female patients. The most frequently recovered isolates were Escherichia coli, 65.1%; Enterococcus spp., 11.9%; and Klebsiella pneumoniae, 10.0%. Among isolates recovered from females, the distribution was consistent with the overall study population. In men, the prevalence of E. coli was lower (40.3 %) relative to the overall population, whereas the prevalence of Enterococcus was higher (22.1%). In children, E. coli was the most prevalent isolate (73.7%), followed by Enterococcus (10.4%) and Proteus species (6.8%). The distribution of pathogens in adult (age 18–64 years) patients was similar to the overall population: E. coli (68.5%), Enterococcus (11.2%), and K. pneumoniae (8.7%). In older adults, the prevalence of E. coli was lower (58.7%), whereas the prevalence rates of Enterococcus and Klebsiella were higher (12.2% and 12.8%, respectively).
Of all the isolates tested for nitrofurantoin sensitivity (n = 73 191), 90.4% were susceptible. Nitrofurantoin resistance was more commonly noted in males as compared with females (10.6% vs 9.1%, P < .001) and older adults as compared with all other ages combined (12.3% vs 8.1%, P < .001). High overall rates of susceptibility were reported for isolates tested for cefazolin sensitivity (90.4%). However, due to the high prevalence of Enterococcus spp. (which is intrinsically resistant to cefazolin), cefazolin only has activity against 68.2% of the isolates. Only 77.2% of all isolates tested (n = 67711) were trimethoprim-sulfamethoxazole susceptible. Resistance to trimethoprim-sulfamethoxazole was more prevalent in men than women (26.3% vs 22.7%, P < .001) and in older adults than all other age groups combined (25.1% vs 22.1%, P < .001). Of the isolates tested for ciprofloxacin sensitivity (n = 68 709), 80.2% were susceptible. Resistance to ciprofloxacin was more frequent in males than females (35.0% vs 17.3%, P < .001) and in older adults than in all other ages combined (30. % vs 14.0%, P < .001). Additional data on pathogen-specific sensitivity overall and by sex and age groups are presented in Table 1. County-specific data are provided in the Supplementary Data.
DISCUSSION
The current Infectious Disease Society of America (IDSA) guidelines for acute uncomplicated cystitis recommend nitrofurantoin, trimethoprim-sulfamethoxazole, or fosfomycin as firstline agents for treatment [2]. Overall, we found that bacterial isolates in the outpatient setting in New York State were 90% sensitive in vitro to nitrofurantoin. The high probability of in vitro activity with nitrofurantoin is likely due to the high prevalence and susceptibility rates for E. coli. Although the IDSA guidelines do not define a resistance prevalence threshold for assessing the appropriateness of nitrofurantoin for empiric use in treating acute uncomplicated cystitis, if we apply the trimethoprim-sulfamethoxazole threshold (20%, per the IDSA guidelines), our data support the utilization of nitrofurantoin in the New York State outpatient setting for this condition. In contrast, trimethoprim-sulfamethoxazole appears to have more limited utility as an empiric treatment regimen for acute uncomplicated cystitis as the overall prevalence of trimethoprim-sulfamethoxazole resistance exceeded 20%. Unfortunately, fosfomycin susceptibility data were unavailable in this data set as testing was not routinely performed. Given the limited activity of trimethoprim-sulfamethoxazole and ciprofloxacin for acute uncomplicated cystitis, it would be prudent for laboratories to consider testing of fosfomycin in urinary isolates, especially for Escherichia coli and Enterococcus faecalis. In species other than Escherichia coli and Enteroccocus faecalis, the utility and validity of susceptibility results for fosfomycin have yet to be determined [6]. Importantly, recent data show that 1 day of fosfomycin is inferior to 5 days of nitrofurantoin for acute uncomplicated cystitis [7]. As such, fosfomycin should be used with caution when treating acute uncomplicated cystitis.
Susceptibility results from this study were also unfavorable to the empiric use of fluoroquinolones and β-lactam antibiotics. The overall prevalence of ciprofloxacin resistance was 19.8%, exceeding the IDSA-recommended 10% resistance threshold for empiric use. In light of the relatively high prevalence of fluoroquinolone resistance as well as growing concerns about fluoroquinolone-associated disability, our study supports the recent Food and Drug Administration recommendation to avoid empiric fluoroquinolone use unless no other alternative agents are available [7]. We also examined cefazolin as a surrogate for cephalexin susceptibility. When only Gram-negative bacterial species were isolated, cefazolin appeared to be an appropriate empiric agent. However, the utility of cefazolin as an empiric agent is less than favorable due to the high prevalence of Enterococcus, an organism that is intrinsically resistant to cefazolin. Given that β-lactam medications require longer duration of treatment as compared with other therapies and are associated with lower efficacy [8], our data suggest that β-lactam drugs should be considered as empiric agents only when potential benefits outweigh risks.
These data also indicate that the overall antimicrobial susceptibility percentages of antimicrobials are significantly lower for individuals in the ≥65 age group compared with all other ages combined and among males of all ages compared with females. These findings highlight the need to not rely exclusively on overall susceptibility results and to consider sex, age, and prior urine culture results when selecting an agent for a given patient. As susceptibility rates varied by age and sex, subsequent adjustment of therapy based on individualized culture and susceptibility reports should be performed in an effort to promote use of narrow-spectrum antibiotics where possible.
There are several caveats to be considered with respect to these findings. We did not include coagulase-negative staphylococci in this analysis due to its questionable pathogenicity. However, our conclusions would be affected minimally by the inclusion of coagulase-negative staphylococci because coagulase-negative staphylococci only accounted for 2% of isolates. Another potential limitation of this study is lack of data on clinical presentation of the patients. We did not determine whether these were symptomatic urinary tract infections or asymptomatic bacteriuria. Last, this study may overrepresent antimicrobial resistance rates as practitioners may only send urine cultures for patients with recurrent infections or treatment failure.
Although these data are from New York State, there are several generalizable aspects of this study. First, this project highlights the framework for creating a regional antibiogram. Regional antibiograms are important tools that could be used by health departments and other regional authorities to help influence prescribing and/or track antimicrobial resistance for key pathogens. Second, New York State (especially Kings, Queens, New York, Bronx, and Richmond counties, the 5 New York City counties) is unique in that it has an incredibly high population density [9]. Along with antimicrobial utilization, population density has been shown to be associated with antimicrobial resistance prevalence [10]. Hence, it stands to reason that New York State can be thought of as a regional bellwether for antimicrobial resistance.
In summary, we conducted a 1-year retrospective analysis of outpatient urine isolates collected from patients in New York State. Data indicated that nitrofurantoin has retained activity against many of the urinary pathogens since the publication of the 2011 IDSA guidelines and has a high prevalence of in vitro activity. In contrast, we found that the overall prevalence of resistance in bacterial urinary isolates exceeded the predefined IDSA empiric therapy thresholds of 20% for trimethoprim-sulfamethoxazole and 10% for fluoroquinolones, with resistance rates being highest in patients ≥65 years. These data highlight the need in outpatient settings for (1) urinary culture specimen submission, (2) antimicrobial stewardship efforts, and (3) assembly of local susceptibility data to guide empiric therapy in acute uncomplicated cystitis. Finally, these data also support the desperate need for new oral antimicrobials to treat acute uncomplicated cystitis in the outpatient setting.
Supplementary Data
Supplementary materials are available at Open Forum Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author.
Acknowledgments
Disclaimer. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the US government. The authors assume full responsibility for the accuracy and completeness of the ideas presented.
Financial support. The authors disclose receipt of the following financial support for the research, authorship, and/or publication of this article: The manuscript was produced by the members of the Urinary Tract Advisory panel, which was assembled and supported by Island Peer Review Organization (IPRO), the Centers for Medicare & Medicaid Services–designated Quality Innovation Network - Quality Improvement Organization (QIN - QIO) for New York State and lead for the Atlantic Quality Innovation Network (AQIN) under the 11th Statements of Work. The analyses upon which this publication is based were performed under Contract Number HHSM-500-2014-QIN013I, funded by the Centers for Medicare & Medicaid Services, an agency of the US Department of Health and Human Services.
Potential conflicts of interest. All authors: no reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.
References
- 1. Foxman B. Urinary tract infection syndromes: occurrence, recurrence, bacteriology, risk factors, and disease burden. Infect Dis Clin North Am 2014; 28:1–13. [DOI] [PubMed] [Google Scholar]
- 2. Gupta K, Hooton TM, Naber KG, et al. . International clinical practice guidelines for the treatment of acute uncomplicated cystitis and pyelonephritis in women: a 2010 update by the Infectious Diseases Society of America and the European Society for Microbiology and Infectious Diseases. Clin Infect Dis 2011; 52:e103–20. [DOI] [PubMed] [Google Scholar]
- 3. Foxman B. The epidemiology of urinary tract infection. Nat Rev Urol 2010; 7:653–60. [DOI] [PubMed] [Google Scholar]
- 4. Colgan R, Williams M. Diagnosis and treatment of acute uncomplicated cystitis. Am Fam Physician 2011; 84:771–6. [PubMed] [Google Scholar]
- 5. Sanchez GV, Babiker A, Master RN, Luu T, Mathur A, Bordon J. Antibiotic resistance among urinary isolates from female outpatients in the United States in 2003 and 2012. Antimicrob Agents Chemother 2016; 60:2680–3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Clinical and Laboratory Standards Institute. Performance Standards for Antimicrobial Susceptibility Testing; Twenty-Fifth Informational Supplement. CLSI Document M-100 S-25. Wayne, PA: Clinical and Laboratory Standards Institute; 2015. [Google Scholar]
- 7. US Department of Health, Human Services Food and Drug Administration. FDA Drug Safety Communication: FDA advises restricting fluoroquinolone antibiotic use for certain uncomplicated infections; warns about disabling side effects that can occur together https://www.fda.gov/Drugs/DrugSafety/ucm500143.htm. Accessed 24 August 2018.
- 8. Zalmanovici Trestioreanu A, Green H, Paul M, Yaphe J, Leibovici L. Antimicrobial agents for treating uncomplicated urinary tract infection in women. Cochrane Database Syst Rev 2010; 10:CD007182. [DOI] [PubMed] [Google Scholar]
- 9. United States Census Bureau. GCT-PH1—population, housing units, area, and density: 2000 - United States—County by State; and for Puerto Rico https://factfinder.census.gov/. Accessed 25 October 2018.
- 10. Bruinsma N, Hutchinson JM, van den Bogaard AE, et al. . Influence of population density on antibiotic resistance. J Antimicrob Chemother 2003; 51:385–90. [DOI] [PubMed] [Google Scholar]
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