| Literature DB >> 33072808 |
Aditya R Gandhi1, Sowmya R Rao2,3, Lin H Chen4,5, Michael D Nelson4, Edward T Ryan5,6,7,8,9, Regina C LaRocque5,6,7,8, Emily P Hyle1,5,6,7,8.
Abstract
BACKGROUND: International travelers are often prescribed antibiotics for self-treatment of travelers' diarrhea (TD), but the benefits and risks of antibiotics are debated. We assessed the prescribing patterns of empiric antibiotics for TD in international travelers evaluated at Global TravEpiNet (GTEN) sites (2009-2018).Entities:
Keywords: antibiotics; drug resistance; fluoroquinolones; travelers’ diarrhea
Year: 2020 PMID: 33072808 PMCID: PMC7545114 DOI: 10.1093/ofid/ofaa376
Source DB: PubMed Journal: Open Forum Infect Dis ISSN: 2328-8957 Impact factor: 3.835
Figure 1.Flow diagram of travel encounters at GTEN sites (2009–2018). Between 2009 and 2018, 121 295 pretravel consultations were recorded at GTEN sites, of which 103 843 met the inclusion criteria of the study. Providers prescribed antibiotics for empiric treatment of TD in 80 747 pretravel consultations, of which 1051 received >1 antibiotic. The combinations of >1 antibiotic include azithromycin and fluoroquinolone (n = 825); azithromycin and rifaximin (n = 148); fluoroquinolone and rifaximin (n = 39); fluoroquinolone and other (n = 22); azithromycin and other (n = 9); fluoroquinolone, azithromycin, and rifaximin (n = 5); and fluoroquinolone, azithromycin, and other (n = 3). The other category included prescriptions for metronidazole, doxycycline, trimethoprim-sulfamethoxazole, and amoxicillin-clavulanate for travelers’ diarrhea self-treatment and/or other nonmalaria prophylaxis indications (eg, respiratory infection, UTI). Abbreviations: GTEN, Global TravEpiNet; TD, travelers’ diarrhea; UTI, urinary tract infection; WHO, World Health Organization; WHO-defined regions: Africa, Americas, Southeast Asia, Europe, Eastern Mediterranean, Western Pacific.
Demographics and Travel-Related Characteristics of Adult Travelers Evaluated at GTEN Sites (2009–2018)
| Characteristics | No. (n = 103 843) | Not Prescribed Antibiotics (n = 23 096) | Prescribed Antibiotics (n = 80 747) |
|---|---|---|---|
| Sex, No. (row %) | |||
| Male | 45 282 | 9836 (21.7) | 35 446 (78.3) |
| Female | 58 561 | 13 260 (22.6) | 45 301 (77.4) |
| Age, No. (row %) | |||
| 18–49 y | 68 440 | 15 091 (22.0) | 53 349 (78.0) |
| 50–64 y | 23 658 | 5263 (22.2) | 18 395 (77.8) |
| ≥65 y | 11 745 | 2742 (23.3) | 9003 (76.7) |
| Drug allergies, No. (row %) | |||
| No allergies | 79 724 | 18 346 (23.0) | 61 378 (77.0) |
| FQ only | 626 | 93 (14.9) | 533 (85.1) |
| Macrolide only | 1283 | 221 (17.2) | 1062 (82.8) |
| FQ and macrolide | 52 | 15 (28.8) | 37 (71.2) |
| Other antibiotic allergy | 22 158 | 4421 (20.0) | 17 737 (80.0) |
| Duration of travel, No. (row %) | |||
| <14 d | 43 868 | 8630 (19.7) | 35 238 (80.3) |
| 14–29 d | 41 083 | 7845 (19.1) | 33 238 (80.9) |
| ≥30 d | 18 892 | 6621 (35.0) | 12 271 (65.0) |
| Region of travel, No. (row %)a | |||
| Africa | 37 604 | 10 804 (28.7) | 26 800 (71.3) |
| Americas | 29 845 | 6459 (21.6) | 23 386 (78.4) |
| Southeast Asia | 24 612 | 3169 (12.9) | 21 443 (87.1) |
| Western Pacific | 18 872 | 2977 (15.8) | 15 895 (84.2) |
| Europe | 5787 | 1202 (20.8) | 4585 (79.2) |
| Eastern Mediterranean | 5653 | 1434 (25.4) | 4219 (74.6) |
| Reason for travel, No. (row %) | |||
| Leisure | 49 928 | 9227 (18.5) | 40 701 (81.5) |
| Business | 18 771 | 3231 (17.2) | 15 540 (82.8) |
| Humanitarian service work | 15 315 | 3704 (24.2) | 11 611 (75.8) |
| Research/education | 7784 | 1537 (19.7) | 6247 (80.3) |
| VFR | 7527 | 3250 (43.2) | 4277 (56.8) |
| Other | 4518 | 2147 (47.5) | 2371 (52.5) |
| US Census region of clinic site, No. (row %) | |||
| Northeast | 45 817 | 5927 (12.9) | 39 890 (87.1) |
| Midwest | 8506 | 572 (6.7) | 7934 (93.3) |
| South | 26 145 | 12 419 (47.5) | 13 726 (52.5) |
| West | 23 375 | 4178 (17.9) | 19 197 (82.1) |
| Type of clinic, No. (row %) | |||
| Nonacademic center | 15 868 | 10 169 (64.1) | 5699 (35.9) |
| Academic center | 87 975 | 12 927 (14.7) | 75 048 (85.3) |
Abbreviations: FQ, fluoroquinolone; GTEN, Global TravEpiNet; VFR, visiting friends and relatives.
aTravelers can contribute to >1 region.
Results From Logistic Regressions Assessing the Relationship of Demographics and Travel Characteristics With Prescribing Antibiotics for TD Among Travelers Evaluated at GTEN Sites (2009–2018)
| Characteristics | Unadjusted OR (95% CI) | Unadjusted | Adjusted OR (95% CI)a | Adjusted |
|---|---|---|---|---|
| Sex | ||||
| Male | Ref | .46 | Ref | .77 |
| Female | 0.95 (0.82–1.10) | 1.02 (0.89–1.18) | ||
| Age | ||||
| 18–49 y | Ref | .54 | Ref | .045 |
| 50–64 y | 0.99 (0.77–1.26) | 1.14 (1.01–1.28) | ||
| ≥65 y | 0.93 (0.73–1.18) | 1.19 (0.92–1.54) | ||
| Drug allergies | ||||
| No allergies | Ref | <.001 | Ref | <.001 |
| FQ only | 1.71 (1.36–2.16) | 1.67 (1.24–2.26) | ||
| Macrolide only | 1.44 (1.01–2.05) | 1.12 (0.86–1.46) | ||
| FQ and macrolide | 0.74 (0.41–1.31) | 0.75 (0.42–1.33) | ||
| Other antibiotic allergy | 1.20 (1.01–1.42) | 1.14 (1.00–1.31) | ||
| Duration of travel | ||||
| <14 d | Ref | <.001 | Ref | <.001 |
| 14–29 d | 1.04 (0.92–1.17) | 0.99 (0.89–1.10) | ||
| ≥30 d | 0.45 (0.31–0.66) | 0.47 (0.32–0.70) | ||
| Region of travelb | ||||
| Africa | 0.57 (0.35–0.90) | .013 | 1.01 (0.81–1.27) | .92 |
| Americas | 1.05 (0.72–1.54) | .79 | 0.95 (0.75–1.21) | .68 |
| Southeast Asia | 2.27 (1.68–3.07) | <.001 | 1.88 (1.50–2.35) | <.001 |
| Western Pacific | 1.66 (1.14–2.41) | .006 | 1.43 (1.17–1.74) | <.001 |
| Europe | 1.10 (0.76–1.58) | .61 | 0.90 (0.72–1.13) | .35 |
| Eastern Mediterranean | 0.83 (0.69–1.00) | .046 | 0.98 (0.82–1.16) | .79 |
| Reason for travel | ||||
| Leisure | Ref | <.001 | Ref | <.001 |
| Business | 1.09 (0.78–1.52) | 1.03 (0.83–1.27) | ||
| Humanitarian service work | 0.71 (0.47–1.08) | 0.76 (0.56–1.04) | ||
| Research/education | 0.92 (0.69–1.24) | 1.17 (0.86–1.60) | ||
| VFR | 0.30 (0.13–0.70) | 0.33 (0.13–0.84) | ||
| Other | 0.25 (0.13–0.49) | 0.41 (0.28–0.59) | ||
| US Census region of clinic site | ||||
| Northeast | Ref | .011 | Ref | <.001 |
| Midwest | 2.06 (0.61–6.98) | 1.52 (0.78–2.93) | ||
| South | 0.16 (0.03–0.99) | 0.28 (0.11–0.69) | ||
| West | 0.68 (0.21–2.27) | 0.79 (0.24–2.64) | ||
| Type of clinic | ||||
| Nonacademic center | Ref | .014 | Ref | .005 |
| Academic center | 10.36 (1.49–72.23) | 7.30 (1.72–30.86) | ||
| Survey year | ||||
| 2009 | Ref | <.001 | Ref | <.001 |
| Each year after 2009 | 0.88 (0.84–0.93) | 0.84 (0.79–0.89) |
Abbreviations: FQ, fluoroquinolone; GTEN, Global TravEpiNet; OR, odds ratio; TD, travelers’ diarrhea; VFR, visiting friends and relatives.
aAdjusted results obtained from regressions that include all variables shown in the table.
bReference: not traveling to that specific region. Travelers can contribute to >1 region.
Figure 2.A, Antibiotic prescriptions among all GTEN travelers to any international destination (2009–2018). B, Interrupted time-series analysis showing the decrease in any fluoroquinolone prescriptions. A, Antibiotic prescription patterns for all travelers by year between 2009 and 2018. The x-axis represents the year, and the y-axis represents the proportion of pretravel consultations in which no antibiotics, azithromycin only, a fluoroquinolone only, and all other antibiotic(s) (including rifaximin only, another antibiotic, and >1 antibiotic) were prescribed. Among all GTEN travelers, antibiotic prescribing declined between 2009 and 2018. B, The proportion of pretravel consultations in which fluoroquinolone only was prescribed, by month, between 2009 and 2018. Interrupted time-series analysis shows the change in fluoroquinolone prescribing before and after the FDA warning on fluoroquinolones (July 2016). The rate of decrease in fluoroquinolone prescribing after the FDA warning was significant compared with that before the FDA warning (P < .001). Interrupted time-series analysis also revealed similar declines in fluoroquinolone prescribing before and after the release of the ISTM guidelines in March 2017 (before ISTM: 1.3%/year; P = .002; after ISTM: 13.6%/year; P < .001); when compared, the rates of decline were significantly different (P = .002). Abbreviations: FDA, Food and Drug Administration; GTEN, Global TravEpiNet; ISTM, International Society for Travel Medicine.
Results From Logistic Regressions Assessing the Relationship of Demographics and Travel Characteristics With Prescribing Fluoroquinolones Compared With Azithromycin for TD Among Travelers Evaluated at GTEN Sites (2009–2018)
| Characteristics | Unadjusted OR (95% CI) | Unadjusted | Adjusted OR (95% CI)a | Adjusted |
|---|---|---|---|---|
| Sex | ||||
| Male | Ref | .47 | Ref | <.001 |
| Female | 1.02 (0.96–1.10) | 0.94 (0.92–0.96) | ||
| Age | ||||
| 18–49 y | Ref | .063 | Ref | <.001 |
| 50–64 y | 1.22 (0.93–1.60) | 1.34 (1.08–1.66) | ||
| ≥65 y | 1.16 (0.84–1.62) | 1.29 (0.86–1.94) | ||
| Drug allergies | ||||
| No allergies | Ref | <.001 | Ref | <.001 |
| FQ only | 0.08 (0.06–0.11) | 0.04 (0.03–0.06) | ||
| Macrolide only | 4.53 (3.56–5.77) | 7.68 (5.59–10.54) | ||
| FQ and macrolide | 0.74 (0.33–1.66) | 0.41 (0.12–1.40) | ||
| Other antibiotic allergy | 1.04 (0.91–1.19) | 1.02 (0.96–1.08) | ||
| Duration of travel | ||||
| <14 d | Ref | .005 | Ref | .002 |
| 14–29 d | 0.76 (0.62–0.93) | 0.91 (0.85–0.97) | ||
| ≥30 d | 0.79 (0.65–0.95) | 0.97 (0.85–1.10) | ||
| Region of travelb | ||||
| Africa | 2.28 (1.62–3.19) | <.001 | 1.97 (1.31–2.95) | <.001 |
| Americas | 2.04 (1.44–2.90) | <.001 | 1.74 (1.22–2.48) | .002 |
| Southeast Asia | 0.15 (0.07–0.34) | <.001 | 0.17 (0.07–0.40) | <.001 |
| Western Pacific | 0.37 (0.27–0.50) | <.001 | 0.44 (0.38–0.51) | <.001 |
| Europe | 1.17 (1.02–1.35) | .019 | 1.22 (1.07–1.40) | .003 |
| Eastern Mediterranean | 1.03 (0.90–1.18) | .63 | 1.20 (1.03–1.40) | .017 |
| Reason for travel | ||||
| Leisure | Ref | <.001 | Ref | <.001 |
| Business | 1.00 (0.74–1.34) | 1.10 (0.99–1.22) | ||
| Humanitarian service work | 1.77 (1.13–2.76) | 0.91 (0.72–1.15) | ||
| Research/education | 1.38 (0.92–2.09) | 1.05 (0.85–1.29) | ||
| VFR | 0.83 (0.58–1.20) | 0.78 (0.57–1.07) | ||
| Other | 1.24 (0.96–1.59) | 0.81 (0.66–0.99) | ||
| US Census region of clinic site | ||||
| Northeast | Ref | <.001 | Ref | <.001 |
| Midwest | 0.12 (0.06–0.26) | 0.06 (0.02–0.13) | ||
| South | 2.14 (1.48–3.09) | 2.47 (1.25–4.90) | ||
| West | 2.27 (1.77–2.91) | 3.64 (2.66–4.99) | ||
| Type of clinic | ||||
| Nonacademic center | Ref | .64 | Ref | .24 |
| Academic center | 0.81 (0.32–2.07) | 1.56 (0.72–3.39) | ||
| Survey year | ||||
| 2009 | Ref | .023 | Ref | <.001 |
| Each year after 2009 | 0.88 (0.78–0.99) | 0.77 (0.73–0.82) |
Abbreviations: FQ, fluoroquinolone; GTEN, Global TravEpiNet; OR, odds ratio; TD, travelers’ diarrhea; VFR, visiting friends and relatives.
aAdjusted results obtained from regressions that include all variables shown in the table.
bReference: not traveling to that specific region. Travelers can contribute to >1 region.