| Literature DB >> 30675367 |
Scott Olson1, Alexis Hall1, Mark S Riddle2, Chad K Porter1.
Abstract
BACKGROUND: Travelers' diarrhea remains a prevalent illness impacting individuals visiting developing countries, however most studies have focused on this disease in the context of short term travel. This study aims to determine the regional estimates of travelers' diarrhea incidence, pathogen-specific prevalence, and describe the morbidity associated with diarrheal disease among deployed military personnel and similar long term travelers.Entities:
Keywords: Campylobacter; Enteroaggregative E. coli (EAEC); Enterotoxigenic E. coli (ETEC); Long term traveler; Travelers’ diarrhea
Year: 2019 PMID: 30675367 PMCID: PMC6332902 DOI: 10.1186/s40794-018-0077-1
Source DB: PubMed Journal: Trop Dis Travel Med Vaccines ISSN: 2055-0936
Fig. 1Flow diagram of study selection for inclusion in the updated systematic review. We identified 454 candidate studies for inclusion since the last systematic review by query of electronic bibliographic databases. After review of titles and abstracts, 193 studies were identified for full review, with 164 studies excluded. Thirty studies were identified for inclusion in the final systematic review, with a total of 82 studies when those from the prior review were included
Studies included in current systematic review of diarrheal illness among long term travelers since 2006
| Reference | First Author | Year of Pub | Study Years | Study Design | Country | Population | Population Size | Travel Duration | Percent Male | Age |
|---|---|---|---|---|---|---|---|---|---|---|
| Middle East | ||||||||||
| [ | Armstrong, AW | 2010 | 2007–2008 | Clinical Trial | Turkey | US Military | 100 | 0.5 | 88 | 36 |
| [ | Brown, J | 2009 | 2004 | Cross-sectional | Multiple | US Military | 3933 | 89 | 25 | |
| [ | Hillel, O | 2005 | 2003 | Cross-sectional | India | Backpackers | 114 | 5 | 43 | 26.6 |
| [ | Letizia, A | 2014 | 2005–2006 | Clinical Trial | Turkey | US Military | 109 | 12 | 86 | |
| [ | Monteville, MR | 2006 | 2004 | Other | Iraq; Afghanistan | US Military | 194 | 4.8 | 92 | 32 |
| [ | Monteville, MR | 2006 | 2004 | Other | Iraq; Afghanistan | US Military | 28,322 | |||
| [ | Porter, C | 2010 | 2002 | Mixed design | Turkey | US Military | 202 | 4 | 89 | 34 |
| [ | Porter, C | 2011 | 1999–2007 | Case-control | Iraq; Afghanistan | US Military | 31,866 | 54.5 | 28.5 | |
| [ | Porter, C | 2011 | 2008–2009 | Case-control | Afghanistan, Iraq | US Military | 535 | 6 | 56.6 | 26 |
| [ | Putnam, S | 2006 | 2003–2004 | Cross-sectional | Iraq; Afghanistan | US Military | 10,833 | 11 | 89.6 | 26 |
| [ | Riddle, MS | 2008 | 2006–2007 | Cross-sectional | Iraq; Afghanistan; Kuwait | US Military | 3374 | 5.7 | 84.5 | 26 |
| [ | Riddle, MS | 2011 | 2004–2005 | Mixed design | Egypt | US Military | 211 | 5.7 | 31 | |
| [ | Sanders, JW | 2007 | 2003–2004 | Clinical Trial | Turkey | US Military | 207 | 8 | 65 | 31 |
| [ | Sanders, JW | 2005 (conf) | 2004 | Cross-sectional | Iraq | US Military | 537 | 3.7 | 98.1 | 23 |
| [ | Sebeny, PJ | 2012 | 2009 | Mixed design | Egypt | US Military | 1529 | 0.7 | 81 | 34 |
| [ | Trivedi, KH | 2011 | 2004–2005 | Cohort | Egypt; Turkey | US Military | 120 | 3.7 | 74 | 34 |
| SE Asia | ||||||||||
| [ | Piyaphanee, W | 2011 | 2009 | Cross-sectional | Thailand | Backpackers | 404 | 1 | 59.7 | 26 |
| [ | Tribble, DR | 2007 | 2000–2001 | Clinical Trial | Thailand | US Military | 156 | 89 | 26 | |
| [ | Tribble, DR | 2008 | 2000–2001 | Mixed design | Thailand | US Military | 182 | 90 | 26 | |
| [ | Velasco, J | 2015 | 2014 | Other - Surveillance | Philippines | US Military | 15 | 0.5 | 100 | 29 |
| Latin America | ||||||||||
| [ | Ajami, N | 2014 | 2004 | Descriptive study | Mexico | Students | 75 | 1 | 46 | 26 |
| [ | Kasper, MR | 2012 | 2011 | Mixed design | El Salvador | US Military | 241 | 0.5 | 83.8 | 27 |
| [ | Reaves, EJ | 2012 | 2012 | Mixed design | Peru | US Military | 101 | |||
| Latin America and Caribbean | ||||||||||
| [ | Chern, A | 2016 | 2011 | Mixed design | Multiple | US Military / Civilian | 3156 | 5 | 64.6 | 31 |
| Africa | ||||||||||
| [ | Frickmann, H | 2015 | 2013–2014 | Surveillance | Mali | non-US Military | 51 | 8.5 | ||
| [ | Marimoutou, C | 2011 | 2007–2008 | Cohort | Chad | non-US Military | 278 | 5 | ||
| [ | Pommier de Santi, V | 2011 | 2007–2008 | Mixed design | Chad | non-US Military | 240 | 5 | 91.7 | 27 |
| Multiple | ||||||||||
| [ | Chen, L | 2009 | 1996–2008 | Descriptive study | Peace Corps; Expatriate | 4039 | 12 | 57.2 | ||
| [ | Stermer, E | 2006 | 2004 | Cross-sectional | Non-military Travelers | 405 | 1 | 53.3 | 30.8 | |
| [ | Tuteja AK | 2008 | Cohort | Missionaries (mainly) | 83 | 16 | 82 | 21 | ||
This table lists all studies included in the current systematic review since the last review in 2006. Thirty studies were included for analysis, bringing the total number of studies in this systematic review to 82. The author, year of publication, study years, type of study design, countries included, type of travel population evaluate, population size, median travel duration, percent male, and median age are included for each included study, where available. The studies are listed by region of travel
Fig. 2Pathogen prevalence of diarrheal illness among long term travelers, 1990–2015. Of those cases for which diagnostic testing was performed, 62% were positive for bacterial pathogens, with viruses (7%) and parasites (4%) being detected at lower rates. ETEC was the most commonly isolated bacterial etiology (44%), followed by EAEC (21%) and Campylobacter spp. (19%). Multiple pathogens were detected in 11% of tested cases and no identified pathogens in 36%
Comparison of pathogen prevalence between prior review and update
| Pathogen | n | Median | IQR |
|---|---|---|---|
| ETEC | |||
| - Prior study | 34 | 20.5 | 11.8, 32.0 |
| - 2006–2015 | 13 | 22.0 | 12.2, 40.6 |
| Campylobacter | |||
| - Prior study | 32 | 4.0 | 0.9, 12.5 |
| - 2006–2015 | 14 | 7.2 | 1.6, 18.1 |
| Shigella | |||
| - Prior study | 34 | 3.5 | 1.0, 9.0 |
| - 2006–2015 | 13 | 6.1 | 1.0, 8.6 |
| Salmonella | |||
| - Prior study | 32 | 2.5 | 1.0, 6.5 |
| - 2006–2015 | 12 | 1.1 | 0.0, 3.1 |
| EAEC | |||
| - Prior study | 14 | 8.5 | 2.8, 11.5 |
| - 2006–2015 | 6 | 9.2 | 0.0, 11.0 |
| No etiology identified | |||
| - Prior study | 32 | 50.0 | 35.5, 56.3 |
| - 2006–2015 | 9 | 39.0 | 20.6, 46.5 |
| Multiple pathogens | |||
| - Prior study | 17 | 9.0 | 6.0, 16.0 |
| - 2006–2015 | 12 | 11.0 | 6.1, 22.6 |
The prevalence of specific bacterial pathogens identified by testing. Prevalence was compared between the prior systematic review and studies performed since that time (2006–2015). The number of studies in each subgroup (n) is included. Comparison of median values between groups was analyzed using Wilcoxon signed-rank testing
Fig. 3Region specific pathogen prevalence of diarrheal illness among long term travelers, 1990–2015. We identified variability of pathogen prevalence across studies from different regions. In Latin America/Caribbean, Africa, and the Middle East, the most common identified pathogen was ETEC, while in SE Asia Campylobacter spp. predominated
Fig. 4Incidence of diarrheal illness among long-term travelers, 1990–2016. We found an estimated overall pooled incidence of TD among long-term travelers of 36.3 cases per 100 person-months. Studies included in the prior systematic review (AJTMH, 64(5), 2006) are listed at the top of the forest plot, with studies since that time included at the bottom of the figure (2018 Update). Weights calculated by random effects model
TD associated outcomes (‘90 – ‘15)
| Outcome | All years | 1990–2005 | 2006–2015 | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Median | IQR | Min, Max | Median | IQR | Min, Max | Median | IQR | Min, Max | |
| Pre-treatment symptoms, days | 1.4 | 1.1, 2.0 | 0.3, 4.0 | 1.4 | 1.1, 1.7 | 0.3, 4.1 | 2.0 | 1.0, 3.0 | 1.0, 3.3 |
| Post-treatment symptoms, days | 1.5 | 1.1, 1.9 | 0.6, 2.2 | 1.4 | 0.8, 1.8 | 0.6, 2.2 | 1.8 | – | 1.5, 2.0 |
| - TLUS (abx + loperamide), hrs | 9.6 | 8.2, 11.5 | 8.2, 11.5 | 11.5 | – | – | 8.9 | – | 8.2, 9.6 |
| - TLUS (abx – loperamide), hrs | 21.8 | 11.0, 43.2 | 11.0, 43.2 | 16.4 | – | 11.0, 21.8 | 43.2 | – | – |
| Prob. Receiving Abx, %* | 57.0 | 19.0, 91.0 | 3.0, 100.0 | 79.0 | – | – | 44.0 | 15.0, 96.0 | 3.0, 100.0 |
| Prob. Receiving loperamide, %* | 85.0 | 27.0, 88.0 | 17.0, 90.0 | – | – | – | 85.0 | 27.0, 88.0 | 17.0, 90.0 |
| Prob. Receiving IV fluids, %* | 15.0 | 6.0, 19.0 | 0.0, 33.0 | 12.0 | 0.0, 15.0 | 0.0, 15.0 | 17.0 | 6.0, 23.0 | 5.0, 33.0 |
| Prob. SIQ or incapacitation, %* | 21.0 | 13.0, 34.0 | 3.0, 55.0 | 16.0 | 5.0, 46.0 | 3.0, 55.0 | 23.0 | 13.0, 34.0 | 4.0, 39.0 |
| Prob. Hospital admission, % | 3.0 | 1.0, 13.0 | 0.0, 17.0 | 11.0 | – | 10.0, 13.0 | 2.0 | 1.0, 10.0 | 0.0, 17.0 |
| Symptom duration in those not seeking treatment, days | 3.0 | 2.4.0, 3.5.0 | 1.0, 4.3.0 | 3.0.0 | 2.5, 3.8 | 2.1, 4.3 | 2.9 | 1.8, 3.6 | 1.0, 3.8 |
TLUS – time to last unformed stool
SIQ – sick in quarters
*among those seeking care
Outcomes of interest, including those reflecting the morbidity of diarrheal illness, were compared. Outcomes were compared from all years, from studies included in the prior systematic review (1990–2005), and from studies performed since that time (2006–2015)