| Literature DB >> 30534413 |
Eugene M Tan1, Jennifer L St Sauver2, Irene G Sia1.
Abstract
BACKGROUND: International travelers are at high risk of acquiring travelers' diarrhea. Pre-travel consultation has been associated with lower rates of malaria, hepatitis, and human immunodeficiency virus (HIV) infections. The objective was to study the impact of pre-travel consultation on clinical management and outcomes of travelers' diarrhea.Entities:
Keywords: Infectious disease; Pre-travel consultation; Travelers’ diarrhea
Year: 2018 PMID: 30534413 PMCID: PMC6280521 DOI: 10.1186/s40794-018-0076-2
Source DB: PubMed Journal: Trop Dis Travel Med Vaccines ISSN: 2055-0936
Fig. 1Geographic region of exposure based on GeoSentinel Surveillance System [7] (All material in the Morbidity and Mortality Weekly Report (MMWR) Series is in the public domain and may be used and reprinted without permission)
Demographics of patients with travelers’ diarrhea (n = 1160)
| Pre-travel consultationa | |||
|---|---|---|---|
| Yes ( | No (n = 904) | ||
| Age, in years | 35 (23–53) | 43 (27–56) | 0.0001 |
| Male | 107 (42) | 413 (46) | 0.3 |
| Employed | 153 (60) | 626 (69) | 0.0004 |
| Unemployed | 103 (40) | 278 (31) | |
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| Caucasian | 208 (81) | 794 (88) | 0.007 |
| Local residentc | 177 (69) | 529 (59) | 0.002 |
| Traveler sought pre-travel consult for | 92 (36)2 | 116 (13) | < 0.0001 |
| Traveler sought pre-travel consult for | 60 (23) | 116 (13) | < 0.0001 |
aContinuous variables are expressed as median (interquartile range). IQR = interquartile range from the 25th percentile to the 75th percentile. Categorical variables are expressed as numbers (%)
bP values were calculated based on Pearson’s chi-square test for categorical variables and Wilcoxon’s rank sum test for continuous variables
cLocal residents were defined as those whose primary residence was in Olmsted County, Minnesota, at the time of travel
Travel destinations based on geographic regions, as defined by the GeoSentinel Surveillance Network, for patients with travelers’ diarrhea (n = 1160). Travelers often frequented multiple destinations
| Region | Pre-travel consultationa | ||
|---|---|---|---|
| Yes ( | No ( | ||
| Central America | 55 (22) | 565 (63) | < 0.0001 |
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| South America | 36 (14) | 51 (6) | < 0.0001 |
| Sub-Saharan Africa | 65 (25) | 20 (2) | < 0.0001 |
| South Asia | 42 (16) | 32 (4) | < 0.0001 |
| Southeast Asia | 36 (14) | 31 (3) | < 0.0001 |
| Northeast Asia | 20 (8) | 31 (3) | 0.0080 |
| Caribbean | 23 (9) | 117 (13) | 0.2 |
aCategorical variables are expressed as numbers (%)
bP values were calculated based on Pearson’s chi-square test for categorical variables
Travel characteristics
| Pre-travel consultationa | |||
|---|---|---|---|
| Yes ( | No ( | ||
| Days of travelc | 15 (9–32) | 8 (7–14) | < 0.0001 |
| Reasons: | |||
| Vacation | 83 (32) | 379 (42) | 0.006 |
| Business | 54 (21) | 55 (6) | < 0.0001 |
| Volunteer work | 68 (27) | 33 (4) | < 0.0001 |
| VFRd | 38 (15) | 61 (7) | < 0.0001 |
| Unknown | 13 (5) | 376 (42) | < 0.0001 |
| Unsanitary food | 65 (24) | 189 (21) | 0.07 |
| Unsanitary water | 39 (15) | 104 (12) | 0.0003 |
| Rural location | 137 (54) | 39 (4) | < 0.0001 |
| Hiking | 42 (16) | 15 (2) | < 0.0001 |
| Camping | 25 (10) | 2 (0.2) | < 0.0001 |
aCategorical variables are expressed as numbers (%)
bP values were calculated based on Pearson’s chi-square test for categorical variables and Wilcoxon’s rank sum test for continuous variables
cDuration of travel was recorded as a continuous variable, which was expressed as median (interquartile range). IQR = interquartile range from the 25th percentile to the 75th percentile. Information on duration of travel was available for only 47% (542/1160) patients
dVFRs are immigrants or the children of immigrants, who are from developing nations and return home to visit friends and relatives
Clinical management and outcomes of travelers’ diarrhea
| Pre-travel consultationa | |||
|---|---|---|---|
| Yes ( | No ( | ||
| 1st health care encounter | |||
| Primary Care | 73 (29) | 348 (39) | |
| Infectious Disease (ID) | 39 (15) | 38 (4) | < 0.0001 |
| Emergency/Urgent Care | 32 (13) | 137 (15) | |
| Other Specialtyc | 13 (5) | 89 (10) | |
| Non-Visit Cared | 99 (39) | 292 (32) | |
| ID consultation | 86 (34) | 82 (9) | < 0.0001 |
| Stool sample | 134 (52) | 331 (37) | < 0.0001 |
| Pathogens found | 34/134 (25) | 80/331 (24) | 0.8 |
| Microbiology: | |||
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| 10/34 (29) | 28/80 (35) | 0.6 |
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| 5/34 (15) | 17/80 (21) | 0.4 |
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| 5/34 (15) | 17/80 (21) | 0.4 |
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| 2/34 (6) | 3/80 (4) | 0.6 |
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| 6/34 (18) | 6/80 (8) | 0.1 |
| Post-travel antimicrobial prescribede | 187 (73) | 563 (62) | 0.002 |
| 4/187 (2) | 9/563 (2) | 0.6 | |
| Hospitalization | 17 (7) | 53 (6) | 0.6 |
| Number of hospital days | 1 (1–2) | 2 (1–4) | 0.02 |
| Short-term complications | 32 (13) | 100 (11) | 0.5 |
| Diarrhea lasting > 4 weeks | 50 (20) | 155 (17) | 0.4 |
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aCategorical variables are expressed as numbers (%). Continuous variables are expressed as median (interquartile range). IQR interquartile range from the 25th percentile to the 75th percentile
bP values were calculated based on Pearson’s chi-square test for categorical variables
cOther specialties included gastroenterology, endocrinology, cardiology, transplant, surgery, etc
dNon-visit care included telephone calls or patient online correspondence between patients and providers
ePost-travel antimicrobials were prescribed either empirically or based on microbiology results, if available. Common post-travel antimicrobials included azithromycin and ciprofloxacin
Multivariate analysis for clinical management and outcome variables
| Pre-travel consultation (compared to no pre-travel consultation)a | |||
|---|---|---|---|
| Unadjusted odds ratio (95% confidence interval) | Partially adjusted odds ratio (95% confidence interval)b | Fully adjusted odds ratio (95% confidence interval)c | |
| Infectious Disease Consult | 5.1 (3.6–7.2) | 5.4 (3.8–7.7) | 3.1 (1.9–5.3) |
| Gastroenterology Consult | 0.3 (0.1–0.6) | 0.2 (0.1–0.5) | 0.4 (0.2–0.9) |
| Mean Days of Hospitalization | p = 0.006 | ||
| Pre-travel consult | 1.8 days | 1.8 days | 1.8 days |
| No pre-travel consult | 3.3 days | 3.3 days | 3.3 days |
| Stool sample obtained | 1.9 (1.4–2.5) | 1.9 (1.4–2.5) | 1.6 (1.1–2.4) |
| Antimicrobial prescribed | 1.6 (1.2–2.2) | 1.7 (1.2–2.3) | 1.6 (1.1–2.5) |
aA nominal logistic model was used for categorical variables. Least squares means were used to estimate the mean hospitalization duration based on a linear model. P values were calculated based on least squares means
bPartially adjusted model included age, sex, and race
cFully adjusted model included age, sex; race; local residence; employment; travel destinations (Central America, South America, Sub-Saharan Africa, South Asia, Southeast Asia, Northeast Asia, Caribbean); unsanitary food and water consumption; rural location; hiking; camping