| Literature DB >> 29991911 |
Justin Tenney1, Nicholas Hudson2, Hazar Alnifaidy3, Justin Ting Cheung Li1, Kathy Harriet Fung1.
Abstract
BACKGROUND: This is the first review to analyze literature identifying risk factors for a multidrug-resistant urinary tract infection (MDR UTI). Risk factors for other infections involving multidrug-resistant organisms have been evaluated in other reviews, but they do not assess urinary tract infections. The purpose of this study is to collect currently published data to determine the most commonly and consistently identified risk factors for UTIs.Entities:
Keywords: Cystitis; Microbial drug resistance; Pyelonephritis; Risk factors; Systematic review; Urinary tract infection
Year: 2018 PMID: 29991911 PMCID: PMC6035314 DOI: 10.1016/j.jsps.2018.02.023
Source DB: PubMed Journal: Saudi Pharm J ISSN: 1319-0164 Impact factor: 4.330
Study characteristics in determining risk factor supporting evidence.
| Probable risk factors requirements | Possible risk factor | Unlikely risk factor or more research needed |
|---|---|---|
| Number of studies ≥5 | Number of studies ≥ 5 | Number of studies ≤5 |
| Number of patients ≥1500 | Number of patients ≥2000 | Number of patients ≤2000 |
| Percent of patients in studies identified as positive for risk factor ≥70% | Percent of patients in studies identified as positive for risk factor ≥60% OR | Percent of patients in studies identified as positive for risk factor <60% |
| Percent of studies identified as positive for risk factor ≥70% | Percent of studies identified as positive for risk factor ≥60% | Percent of studies identified as positive for risk factor <60% |
Background information of studies included in the review.
| Study characteristics | Patient characteristics | |||||
|---|---|---|---|---|---|---|
| Lead author, year of publication | Country | Prospective (P), retrospective (R), or both (B) | Definition of resistance | Number of patients with positive urine cultures | Female (%) | |
| Allen, 1999 | Canada | P | Other | 100 | 548 | 65.6 |
| Arslan, 2005 | Turkey | P | Fluoroquinolone | 84.1 | 611 | 85.8 |
| Brown, 2002 | USA | R | TMP-SMX | 100 | 601 | 100 |
| Burman, 2003 | USA | B | TMP-SMX | 97.5 | 832 | 95.1 |
| Colgan, 2004 | USA | P | TMP-SMX | 83.5 | 103 | 100 |
| Colodner, 2004 | Israel | P | Other | 71.7 | 311 | 77.2 |
| Ena, 1995 | Spain | R | Fluoroquinolone | 6.4 | 105 | 58.1 |
| Eshetie, 2015 | Ethiopia | P | ≥2 classes | 61.2 | 183 | 63.8 |
| Faine, 2015 | USA | R | Other | 33.3 | 360 | 83.6 |
| Guangcuangco, 2015 | Philippines | P | TMP-SMX | 76.2 | 229 | 100 |
| Hertz, 2015 | Denmark | R | Other | 100 | 442 | 83.6 |
| Ho, 2010 | Hong Kong | P | ≥3 classes | 77 | 352 | 100 |
| Ikram, 2015 | New Zealand | R | ≥3 classes | 100 | 156 | 60.3 |
| Jadoon, 2015 | Pakistan | P | Fluoroquinolone | 100 | 66 | 75.3 |
| Johnson, 2008 | USA | R | Fluoroquinolone | 100 | 123 | 82.9 |
| Kang, 2015 | South Korea | R | Other | 29.2 | 1929 | 26.9 |
| Khawcharoenporn, 2013 | USA | R | Other | 72 | 431 | 81.4 |
| Killgore, 2004 | USA | R | Fluoroquinolone | 100 | 120 | 85 |
| Lee, 2010 | South Korea | P | Other | 100 | 225 | 100 |
| Metlay, 2003 | USA | R | TMP-SMX | 62 | 393 | N/A |
| Osthoff, 2015 | Australia | R | ESBL+ ≥3 classes | 72.5 | 200 | 74.5 |
| Seung, 2014 | South Korea | P | Other | 31.5 | 413 | 39.1 |
| Talan, 2008 | USA | P | TMP-SMX | 88 | 689 | 90 |
| Toner, 2015 | UK | R | ≥3 classes | 84.6 | 21,414 | 77 |
| Wright, 1999 | USA | R | TMP-SMX | 85 | 448 | 83.7 |
≥2/3 classes Resistance to ≥1 drug in a minimum of 2/3 different antibiotic classes.
Fluoroquinolone: Only required resistance to Ciprofloxacin or ≥1 drug in the fluoroquinolone class.
Only study with a Newcastle-Ottawa Quality Assessment Scale score of <7–8.
TMP-SMX: Only required resistance to sulfamethoxazole/trimethoprim.
Fig. 1Quantity of studies that assessed risk factor and found the risk factor to be related or not related to the chance of a UTI being from a MDR organism.
Risk factors stratified based on amount and consistency of supporting literature.
| Number of studies assessing for risk factor (n) | Number of patients assessed for risk factor (n) | % of Patients in studies positively identifying risk factor (%) | % of Studies positively identifying risk factor (%) | |
|---|---|---|---|---|
| Urinary Catheter | 14 | 27,401 | 95.1 | 81.8 |
| Previous Hospitalization | 14 | 6353 | 84.8 | 72.7 |
| Previous Antibiotics | 20 | 6943 | 76.9 | 75 |
| Nursing Home Resident | 5 | 1959 | 100 | 100 |
| Age | 19 | 29,626 | 87.6 | 64.7 |
| Previous UTI | 15 | 4526 | 59.1 | 64.3 |
| Male Gender | 19 | 27,701 | 92.7 | 61.5 |
| Diabetes | 6 | 1574 | 58.1 | 50 |
| Recent Travel | 3 | 1135 | 100 | 100 |
| Ethnicity | 3 | 1624 | 100 | 100 |
| Immunocompromised | 3 | 1255 | 28.6 | 33 |
| Female Gender | 19 | 27,701 | 2.7 | 23.1 |
Fig. 2Proportion of studies and patients that positively identify the risk factor for a MDR UTI.
Risk factors assessment analysis of studies using resistance definition from 2011 international consensus panel’s expert proposal for interim standard definitions for acquired resistance (resistance to 3 or more different drug classes with 1 or more antimicrobials in each class).
| Number of studies positive for risk factor/number of studies assessing risk factor (n/n) | Number of patients in studies positive for risk factor/number of patients assessed for risk factor (n/n) | |
|---|---|---|
| Urinary Catheter | 2/2 | 21,570/21,570 |
| Hospitalization in Previous 12 months | 0/1 | 0/156 |
| UTI in Previous 12 months | 1/2 | 156/508 |
| Previous Antibiotics | 2/2 | 508/508 |
| Nursing Home Resident | 1/1 | 156/156 |
| Male Gender | 1/1 | 21,414/21,414 |
| Female Gender | 1/1 | 156/156 |
| Diabetes Mellitus | 1/1 | 156/156 |
| Older Age (>51 or >85 or “increasing age”) | 3/3 | 21,922/21,922 |