| Literature DB >> 29653521 |
Sofie H Mooij1, Boris M Hogema2, Anna D Tulen3, Wilfrid van Pelt1, Eelco Franz1, Hans L Zaaijer2, Michel Molier2, Agnetha Hofhuis1.
Abstract
BACKGROUND: A marked increase of hepatitis E cases has recently been observed in the Netherlands. Causes of the (re-)emergence of hepatitis E virus (HEV) and exact sources and routes of transmission of HEV infection are currently unknown. We aimed to identify risk factors for HEV seropositivity.Entities:
Keywords: Blood donors; Hepatitis E; Netherlands; Risk factors; Zoonoses
Mesh:
Substances:
Year: 2018 PMID: 29653521 PMCID: PMC5899381 DOI: 10.1186/s12879-018-3078-9
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Demographic characteristics of 1562 study participants: blood donors from all over the Netherlands 2016
| Overall ( | Anti-HEV IgG-negative ( | Anti-HEV IgG-positive ( | ||||
|---|---|---|---|---|---|---|
| N | % | N | % | N | % | |
| Total | 1562 | 100 | 1074 | 68.8 | 488 | 31.2 |
|
| ||||||
| Gender | ||||||
| Men | 1234 | 79.0 | 837 | 77.9 | 397 | 81.4 |
| Women | 328 | 21.0 | 237 | 22.1 | 91 | 18.7 |
| Median age in years (IQR) | 58.1 | (50.7-63.9) | 56.9 | (49.6-63.1) | 60.2 | (54.5-65.4) |
| Age groups | ||||||
| < 30 years of age | 24 | 1.5 | 20 | 1.9 | 4 | 0.8 |
| 30-40 years of age | 75 | 4.8 | 68 | 6.3 | 7 | 1.4 |
| 40-50 years of age | 255 | 16.3 | 194 | 18.1 | 61 | 12.5 |
| 50-60 years of age | 561 | 35.9 | 392 | 36.5 | 169 | 34.6 |
| > 60 years of age | 647 | 41.4 | 400 | 37.2 | 247 | 50.6 |
| Country of birtha | ||||||
| The Netherlands | 1519 | 97.8 | 1041 | 97.6 | 478 | 98.2 |
| Any other country | 35 | 2.3 | 26 | 2.4 | 9 | 1.8 |
| Level of educationb | ||||||
| Low/intermediate | 780 | 50.3 | 508 | 47.7 | 272 | 56.1 |
| High | 770 | 49.7 | 557 | 52.3 | 213 | 43.9 |
|
| ||||||
| Previous HEV-test for medical reasonsc | ||||||
| No | 1368 | 88.4 | 927 | 87.2 | 441 | 90.9 |
| Yes | 8 | 0.5 | 6 | 0.6 | 2 | 0.4 |
| Unknown | 172 | 11.1 | 130 | 12.2 | 42 | 8.7 |
| Health complaints last 2 monthsf | ||||||
| Fever | 56 | 3.7 | 39 | 3.7 | 17 | 3.6 |
| Nausea | 54 | 3.5 | 41 | 3.9 | 13 | 2.7 |
| Diarrhea < 3 times/day | 125 | 8.2 | 83 | 7.9 | 42 | 8.8 |
| Stomach ache | 91 | 6.0 | 67 | 6.4 | 24 | 5.0 |
| Headache | 282 | 18.4 | 216 | 20.5 | 66 | 13.8 |
| Tiredness | 306 | 20.1 | 228 | 21.7 | 78 | 16.4 |
| Dark urine | 73 | 4.8 | 52 | 5.9 | 21 | 4.4 |
| Itching | 163 | 10.6 | 116 | 11.0 | 47 | 9.8 |
| Neurological symptoms | 75 | 4.9 | 51 | 4.9 | 24 | 5.0 |
| Underlying diseases last 6 monthsf | ||||||
| High blood pressure | 214 | 13.7 | 143 | 13.3 | 71 | 14.5 |
| Diabetes | 51 | 3.3 | 30 | 2.8 | 21 | 4.3 |
| High cholesterol | 126 | 8.1 | 82 | 7.6 | 44 | 9.0 |
| Alcohol consumptiond | ||||||
| < =6 drinks per week | 938 | 62.5 | 661 | 64.2 | 277 | 58.7 |
| > 7 drinks per week | 564 | 37.6 | 369 | 35.8 | 195 | 41.3 |
| Smokinge | ||||||
| No, never | 710 | 46.8 | 503 | 48.4 | 207 | 43.4 |
| Past smoker | 665 | 43.8 | 445 | 42.8 | 220 | 46.1 |
| Current smoker | 142 | 9.4 | 92 | 8.9 | 50 | 10.5 |
| Traveling history (lifetime) | ||||||
| Asia | 687 | 44.0 | 479 | 44.6 | 208 | 42.6 |
| Africa | 528 | 33.8 | 362 | 33.7 | 166 | 34.0 |
| North-America | 585 | 37.5 | 410 | 38.2 | 175 | 35.9 |
| Central/South-America | 417 | 26.7 | 306 | 28.5 | 111 | 22.8 |
|
| ||||||
| No, never | 5 | 0.3 | 5 | 0.5 | 0 | 0 |
| No, only in the past | 24 | 1.6 | 20 | 1.9 | 4 | 0.8 |
| Yes | 1518 | 98.1 | 1036 | 97.6 | 482 | 99.2 |
a8 missing values
b12 missing values
c14 missing values
d60 missing values
e45 missing values
fshown if reported by > = 50 participants
g15 missing values
Univariate and multivariate analyses of risk factors associated with anti-HEV IgG-seropositivity among 1562 blood donors. Only variables with P < 0.05 in uni- and/or multivariate analyses are shown. The multivariate logistic regression model, adjusted for age and gender, was based on backward selection of variables with P < 0.15 in univariate analyses
| Univariate analyses | Multivariate analyses | ||||
|---|---|---|---|---|---|
| Seropositivity n/N (%) | OR (95% CI) | aOR (95% CI) | |||
|
| |||||
| Gender | 0.121 | 0.692 | |||
| Men | 397/1234 (32.2%) | 1.0 | 1.0 | ||
| Women | 91/328 (27.7%) | 0.8 (0.6-1.1) | 0.9 (0.7-1.3) | ||
| Age groups in years | < 0.001 | < 0.001 | |||
| < 30 | 4/24 (16.7) | 1.0 | 1.0 | ||
| 30-40 | 7/75 (9.3) | 0.5 (0.1-1.9) | 0.4 (0.1-1.5) | ||
| 40-50 | 61/255 (23.9) | 1.6 (0.5-4.8) | 1.2 (0.4-3.8) | ||
| 50-60 | 169/561 (30.1) | 2.2 (0.7-6.4) | 1.7 (0.5-5.1) | ||
| > 60 | 247/647 (38.2) | 3.1 (1.0-9.1) | 2.4 (0.8-7.2) | ||
| Level of education | 0.002 | ||||
| Low/intermediate | 272/780 (34.9%) | 1.0 | |||
| High | 213/770 (27.7%) | 0.7 (0.6-0.9) | |||
| Alcohol consumption | 0.042 | ||||
| < =6 drinks per week | 277/938 (29.5%) | 1.0 | |||
| > 7 | 195/564 (34.6%) | 1.3 (1.0-1.6) | |||
| Traveling history to South America | 0.016 | ||||
| No | 377/1145 (32.9%) | 1.0 | |||
| Yes | 111/416 (26.6%) | 0.7 (0.6-0.9) | |||
|
| |||||
| | |||||
| Pork tenderloin | 0.009 | ||||
| No | 247/867 (28.5%) | 1.0 | |||
| Yes | 241/695 (34.7%) | 1.3 (1.1-1.7) | |||
| Pork chop | 0.001 | ||||
| No | 311/1083 (28.7%) | 1.0 | |||
| Yes | 177/479 (37.0%) | 1.5 (1.2-1.8) | |||
| Pork belly | 0.037 | ||||
| No | 267/915 (29.2%) | 1.0 | |||
| Yes | 221/647 (34.2%) | 1.3 (1.0-1.6) | |||
| Smoked sausage | 0.044 | ||||
| No | 201/702 (28.6%) | 1.0 | |||
| Yes | 287/860 (33.4%) | 1.2 (1.0-1.6) | |||
| | |||||
| Farmer sausage | 0.006 | ||||
| No | 340/1159 (29.3%) | 1.0 | |||
| Yes | 148/403 (36.7%) | 1.4 (1.1-1.8) | |||
| Traditional Dutch dry raw sausagesa (“salami” “salametti” “cervelaat” “fijnkost”) | < 0.001 | < 0.001 | |||
| No | 176/673 (26.2%) | 1.5 | 1.0 | ||
| Yes | 312/889 (35.1%) | 1.3 (1.2-1.9) | 1.5 (1.2-1.9) | ||
| Liver cheese/ Leberkäse | 0.001 | ||||
| No | 371/1267 (29.3%) | 1.0 | |||
| Yes | 117/295 (39.7%) | 1.6 (1.2-2.1) | |||
| Pork liver slices | 0.001 | ||||
| No | 408/1370 (29.8%) | 1.0 | |||
| Yes | 80/192 (41.7%) | 1.7 (1.2-2.3) | |||
| Other dry sausagese | 0.033 | 0.022 | |||
| No | 438/1436 (30.5%) | 1.0 | 1.0 | ||
| Yes | 50/126 (39.7%) | 1.5 (1.0-2.2) | 1.6 (1.1-2.4) | ||
| | |||||
| Regional raw pork sausage “Brabantse metworst” | 0.036 | ||||
| No | 471/1526 (30.9%) | 1.0 | |||
| Yes | 17/36 (47.2%) | 2.0 (1.0-3.9) | |||
| Tea sausage | 0.017 | ||||
| No | 467/1518 (30.8%) | 1.0 | |||
| Yes | 21/44 (47.7%) | 2.1 (1.1-3.7) | |||
| Pâté / liver sausageb | 0.011 | ||||
| No | 197/704 (27.9%) | 1.0 | |||
| Yes | 291/858 (33.9%) | 1.3 (1.1-1.6) | |||
| | |||||
| Steak | 0.023 | 0.022 | |||
| No | 189/671 (28.2%) | 1.0 | 1.0 | ||
| Yes | 299/891 (33.6%) | 1.3 (1.0-1.6) | 1.3 (1.0-1.7) | ||
| Smoked beef | 0.020 | ||||
| No | 318/1107 (28.7%) | 1.0 | 0.001 | 1.0 | |
| Yes | 170/455 (37.4%) | 1.5 (1.2-1.9) | 1.3 (1.0-1.7) | ||
| Ox sausage | 0.021 | ||||
| No | 375/1254 (29.9%) | 1.0 | |||
| Yes | 113/308 (36.7%) | 1.4 (1.0-1.8) | |||
| | |||||
| Raspberries | 0.031 | 0.039 | |||
| No | 429/1328 (32.3%) | 1.0 | 1.0 | ||
| Yes | 59/234 (25.2%) | 0.7 (0.5-1.0) | 0.7 (0.5-1.0) | ||
|
| |||||
| Restaurant visit | 0.003 | 0.009 | |||
| < 1 time per month | 234/667 (35.1%) | 1.0 | 1.0 | ||
| > 1 time per month | 234/868 (28.0%) | 0.7 (0.6-0.9) | 0.7 (0.6-0.9) | ||
|
| |||||
| Contact with contaminated waterc | 0.008 | 0.001 | |||
| No | 458/1497 (30.6%) | 1.0 | 1.0 | ||
| Yes | 30/65 (46.2%) | 1.9 (1.2-3.2) | 2.5 (1.5-4.4) | ||
| Contact with dogs | 0.066 | 0.013 | |||
| No | 214/632 (33.9%) | 1.0 | 1.0 | ||
| Yes | 274/930 (29.5%) | 0.8 (0.7-1.0) | 0.7 (0.6-0.9) | ||
| Contact with wild animalsd | 0.072 | 0.025 | |||
| No | 470/1481 (31.7%) | 1.0 | 1.0 | ||
| Yes | 18/81 (22.2%) | 0.6 (0.4-1.0) | 0.5 (0.3-0.9) | ||
aOR: Odds ratio adjusted for age and gender
95% CI: 95%-confidence interval
aCombined variable, created based on “salami”, “salametti”, “cervelaat” and “fijnkost”
bCombined variable, created based on several (open) questions
cCombined variable, created based on “removed water from a stable”, “worked with a septic tank” and “contact with sewage”
dCombined variable based on contact with deer (n = 7), roe (n = 4), wild boar (n = 0), hare (n = 7), rat (n = 9), mice (n = 54), and/or other wild animals (n = 21)
eVariable based on an open question, including very diverse both national and international (local) meat products, five most reported: fuet (n = 12, 10.3%), saucisson d’Ardenne (n = 10, 8.6%), French dry sausage (n = 9, 7.8%), grilled sausage (n = 8, 6.9%), smoked bacon called “katenspek” (n = 6, 5.2%)