| Literature DB >> 26304922 |
Brian S Schwartz, Jessica Rosen, Pauline V Han, Noreen A Hynes, Stefan H Hagmann, Sowmya R Rao, Emily S Jentes, Edward T Ryan, Regina C LaRocque.
Abstract
An increasing number of immunocompromised individuals are pursuing international travel, and a better understanding of their international travel patterns and pretravel health care is needed. We evaluated the clinical features, itineraries, and pretravel health care of 486 immunocompromised international travelers seen at Global TravEpiNet sites from January 2009 to June 2012. We used bivariate analyses and logistic regressions using random intercept models to compare demographic and travel characteristics, vaccines administered, and medications prescribed for immunocompromised travelers versus 30,702 immunocompetent travelers. Immunocompromised travelers pursued itineraries that were largely similar to those of immunocompetent travelers, with nearly one-third of such travelers visiting countries with low human development indices. Biological agents, including tumor necrosis factor blockers, were commonly used immunosuppressive medications among immunocompromised travelers. A strong collaboration between travel-medicine specialists, primary care doctors, and specialist physicians is needed to prepare immunocompromised people for international travel. Incorporating routine questioning and planning regarding travel into the primary care visits of immunocompromised people may be useful. © The American Society of Tropical Medicine and Hygiene.Entities:
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Year: 2015 PMID: 26304922 PMCID: PMC4703284 DOI: 10.4269/ajtmh.15-0185
Source DB: PubMed Journal: Am J Trop Med Hyg ISSN: 0002-9637 Impact factor: 2.345
Immunosuppressive conditions among immunocompromised travelers in Global TravEpiNet*
| Immunosuppressive condition | Travelers ( |
|---|---|
| Immunosuppressive medication | 202 |
| Corticosteroids | 77 |
| TNF inhibitors | 73 |
| Methotrexate | 54 |
| Calcineurin inhibitor | 65 |
| Sirolimus | 7 |
| Mycophenolate mofetil | 47 |
| Antimetabolites | 47 |
| Alkylating agents | 1 |
| Cancer chemotherapy | 6 |
| Leflunomide | 4 |
| Hydroxyurea | 6 |
| Rituximab | 4 |
| Ustekinumab | 1 |
| HIV infection | 110 |
| CD4 count > 500 | 71 |
| CD4 count 200–500 | 22 |
| CD4 count < 200 | 9 |
| Solid-organ transplant | 61 |
| Splenectomy | 47 |
| Hematological malignancy | 27 |
| Sickle cell anemia | 9 |
| Stem cell or bone marrow transplant | 7 |
| Neutropenia | 5 |
| Hypogammaglobulinemia | 4 |
| History of thymectomy or thymus disease | 1 |
TNF = tumor necrosis factor.
Patients can have ≥ 1 immunosuppressive condition or be taking more than one immunosuppressive medication.
Demographic and travel-related characteristics of immunocompromised travelers compared with immunocompetent travelers‡
| Immunocompromised travelers | Immunocompetent travelers | ||
|---|---|---|---|
| Number (% of total) | 486 (1.6) | 30,702 (98.4) | – |
| Age (median, range) | 46 (1.5–83) | 35 (0–94) | < 0.0001 |
| Female | 241 (50%) | 16,672 (54%) | 0.11 |
| Destination (UNHDI classification) | 0.02 | ||
| Low human development | 138 (28%) | 9,507 (31%) | – |
| Medium human development | 242 (50%) | 14,852 (48%) | – |
| High human development | 84 (17%) | 5,407 (18%) | – |
| Very high human development | 22 (5%) | 936 (3%) | – |
| Days to departure (median, range) | 25 (0–424) | 25 (0–564) | 0.0004 |
| Duration of travel (days; median, range) | 14 (2–700) | 14 (0–9999) | 0.05 |
| Purpose of travel | |||
| Leisure | 288 (59%) | 16,563 (54%) | 0.01 |
| Business | 80 (16%) | 5,711 (19%) | 0.05 |
| VFR | 62 (13%) | 2,898 (9%) | 0.29 |
| Non-medical service work | 13 (3%) | 2,253 (7%) | 0.002 |
| Missionary work | 20 (4%) | 1,738 (6%) | 0.36 |
| Adventuring | 15 (3%) | 1,678 (6%) | 0.003 |
| Accommodations | |||
| Camping | 21 (4%) | 2,213 (7%) | 0.01 |
| Dormitory or hostel | 41 (8%) | 5,191 (17%) | < 0.0001 |
| Home stay with relatives | 92 (19%) | 4,516 (15%) | 0.07 |
| Hotel | 353 (73%) | 21,239 (69%) | 0.19 |
| Cruise | 38 (8%) | 1,240 (4%) | < 0.0001 |
| Taking a medication currently | 459 (94%) | 17,584 (57%) | < 0.0001 |
| Number of medications per person (median, range) | 3 (0–11) | 1 (0–15) | < 0.0001 |
UNHDI = United Nations Human Development Index; VFR = visiting friends and relatives.
P value calculated via random intercept model.
Travelers can travel to ≥ 1 destination.
All percentages are column percentages unless otherwise stated.
Travelers could choose more than one purpose of travel or more than one accommodation.
Travel characteristics of sub-groups of immunocompromised travelers
| HIV | Solid-organ transplant ( | TNF inhibitors ( | ||
|---|---|---|---|---|
| CD4 ≥ 500 cells/mm3 ( | CD4 < 500 cells/mm3 ( | |||
| Top destinations | Kenya (8%) | South Africa (15%) | India (15%) | India (18%) |
| Ghana (7%) | Ghana (10%) | China (10%) | Thailand (10%) | |
| Guinea (7%) | India (8%) | Italy (8%) | Kenya (7%) | |
| South Africa (7%) | Peru (8%) | Greece (7%) | Cambodia (7%) | |
| Senegal (8%) | ||||
| Zambia (8%) | ||||
| Travel to region with low human development (UNHDI classification) | 33 (46%) | 20 (51%) | 5 (8%) | 23 (32%) |
| Purpose of travel | ||||
| Leisure | 36 (51%) | 18 (46%) | 31 (51%) | 41 (56%) |
| Business | 14 (20%) | 6 (15%) | 12 (20%) | 17 (23%) |
| VFR | 16 (23%) | 16 (41%) | 11 (18%) | 2 (3%) |
| Non-medical service work | 2 (3%) | 0 | 1 (2%) | 2 (3%) |
| Missionary work | 1 (1%) | 0 | 6 (10%) | 1 (1%) |
| Adventuring | 3 (4%) | 1 (3%) | 0 | 2 (3%) |
| Days before departure visited travel clinic (median, range) | 21 (0–257) | 22 (4–98) | 22 (0–252) | 25 (0–353) |
United Nations Human Development Index (UNHDI).
Visiting friends and relatives (VFR).
Figure 1.Vaccine receipt in immunocompromised travelers (IC) and immunocompetent travelers (notIC).