| Literature DB >> 24775515 |
Maris S Arcilla, Jarne M van Hattem, Martin C J Bootsma, Perry J van Genderen, Abraham Goorhuis, Constance Schultsz, Ellen E Stobberingh, Henri A Verbrugh, Menno D de Jong, Damian C Melles, John Penders1.
Abstract
BACKGROUND: Antimicrobial resistance (AMR) is one of the major threats to public health around the world. Besides the intense use and misuse of antimicrobial agents as the major force behind the increase in antimicrobial resistance, the exponential increase of international travel may also substantially contribute to the emergence and spread of AMR. However, knowledge on the extent to which international travel contributes to this is still limited. The Carriage Of Multiresistant Bacteria After Travel (COMBAT) study aims to 1. determine the acquisition rate of multiresistant Enterobacteriaceae during foreign travel 2. ascertain the duration of carriage of these micro-organisms 3. determine the transmission rate within households 4. identify risk factors for acquisition, persistence of carriage and transmission of multiresistant Enterobacteriaceae. METHODS/Entities:
Mesh:
Substances:
Year: 2014 PMID: 24775515 PMCID: PMC4020574 DOI: 10.1186/1471-2458-14-410
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1Flowchart of study design. * Depending on colonization status of traveller (or his/her household member) at previous time-points.
Effect sizes that minimally can be detected according to the prevalence of the exposure in the final cohort of 2001 travellers
| 50% | 1.36 |
| 25% | 1.41 |
| 10% | 1.64 |
| 5% | 1.92 |
Baseline characteristics of travellers and non-travelling household members according to study center
| | Travellers | Household members | Travellers | Household members | Travellers | Household members | Travellers | Household members |
| (n = 1110) | (n = 129) | (n = 496) | (n = 43) | (n = 395) | (n = 43) | (n = 2001) | (n = 215) | |
| | | | | | | | | |
| Male | 541 (48.7%) | 39 (30.2%) | 208 (41.9%) | 18 (41.9%) | 171 (43.3%) | 23 (53.5%) | 920 (46.0%) | 80 (37.2%) |
| Female | 569 (51.3%) | 90 (69.8%) | 288 (58.1%) | 25 (58.1%) | 224 (56.7%) | 20 (46.5%) | 1081 (54.0%) | 135 (62.8%) |
| 52.0 (18.1-81.7) | 46.3 (18.4-82.0) | 44.7 (19.8-74.6) | 41.1 (18.9-78.0) | 50.4 (18.2-71.9) | 50.6 (18.4-71.6) | 50.5 (18.1-81.7) | 46.9 (18.4-82.0) | |
| | | | | | | | | |
| Asia | 557 (50.2%) | | 259 (52.2%) | | 200 (50.6%) | | 1016 (50.8%) | |
| Africa | 362 (32.6%) | | 148 (29.8%) | | 123 (31.1%) | | 633 (31.6%) | |
| America | 177 (15.9%) | | 81 (16.3%) | | 68 (17.2%) | | 326 (16.3%) | |
| Europe | 11 (1.0%) | | 6 (1.2%) | | 4 (1.0%) | | 21 (1.0%) | |
| Oceania | 3 (0.3%) | 2 (0.4%) | 0 (0.0%) | 5 (0.2%) | ||||
Figure 2Geographic distribution of residences of participating travellers (n = 2001) throughout the Netherlands according to study center. i. Yellow circles represent participants from Tropencentrum AMC, Amsterdam. ii. Red circles represent participants from Travel Clinic Havenziekenhuis, Rotterdam. iii. Blue circles represent participants from Maastricht University Medical Center, Maastricht.
Figure 3Heatmap showing the countries visited by the participating travellers (n = 2001). i. Grey color indicates 0–1 travellers visited country. ii. Light yellow color indicates 2–10 travellers visited country. iii. Orange color indicates 11–51 travellers visited country. iv. Light brown color indicates 50–100 travellers visited country. v. Dark brown color indicates > 100 travellers visited country.