| Literature DB >> 29907162 |
Valentina Marchese1,2, Anna Beltrame3, Andrea Angheben1, Geraldo Badona Monteiro1, Giovanni Giorli1, Francesca Perandin1, Dora Buonfrate1, Zeno Bisoffi1.
Abstract
BACKGROUND: Schistosomiasis is one of the most important neglected tropical diseases. If unrecognised and untreated, the chronic infection can lead to irreversible complications.Entities:
Keywords: Europe; Italy; Neglected tropical diseases, immigrants; Refugees; Schistosomiasis; Travellers
Mesh:
Year: 2018 PMID: 29907162 PMCID: PMC6004084 DOI: 10.1186/s40249-018-0440-5
Source DB: PubMed Journal: Infect Dis Poverty ISSN: 2049-9957 Impact factor: 4.520
Baseline demographic of the cohort and stratified by endemicity of provenience
| Characteristica | Entire cohort | Area of origin | ||
|---|---|---|---|---|
| Endemic | Non-endemic | |||
| Total | 272 | 234 (86.0) | 38 (14.0) | |
| Median age, years (IQR) | 30 (25–39.5) | 28 (24–38) | 41.5 (34–63.7) | < 0.001* |
| Male, | 215 (79.0) | 193 (82.5) | 22 (57.9) | 0.002* |
| Median elapsed time, days (IQR) | 197 (67.5–526.5) | 209 (71–576.5) | 120.5 (52–392.7) | 0.327 |
| Continent of Exposure, | ||||
| Africa | 261 (97.4) | 232 (99.1) | 29 (85.3) | < 0.001* |
| America | 4 (1.5) | 2 (0.9) | 2 (5.9) | 0.089 |
| Asia and Oceania | 3 (1.1) | 0 (0.0) | 3 (8.8) | |
Abbreviations: IQR Inter-quartile range
aRelative frequencies for each variable are obtained on the sub-population for which information was available
bCalculation of the P-value was done through Kolmogorov-Smirnov test for the difference in the distribution of age and elapsed time, whereas Fisher’s exact test was used for all dichotomous variables. Finally, the Chi-Squared test was used to test the difference in the distribution among diagnoses types
Fig. 1Geographical distribution of the places of exposure (data are the number of patients)
Clinical characteristics and laboratory results of the cohort and stratified by endemicity of provenience
| Characteristica | Entire cohort | Area of origin | ||
|---|---|---|---|---|
| Endemic | Non-endemic | |||
| Total, | 272 | 234 (86.0) | 38 (14.0) | |
| Symptoms presence, | 144 (52.9) | 124 (52.9) | 20 (52.6) | 1 |
| Abdominal pain | 98 (36.0) | 85 (36.3) | 13 (34.2) | 0.857 |
| Genito-urinary | 20 (7.4) | 16 (6.8) | 4 (10.5) | 0.625 |
| Macro-hematuria | 25 (11.3) | 22 (9.4) | 3 (7.9) | 1 |
| Rectal bleeding | 4 (1.5) | 4 (1.7) | 0 (0) | |
| Cough | 3 (1.1) | 3 (1.3) | 0 (0) | |
| Positive microscopy, | 103 (37.9) | 98 (41.9) | 5 (13.2) | < 0.001* |
| Ova in stools | 50 (18.4) | 48 (20.5) | 2 (5.3) | 0.020* |
| Ova in urine | 52 (19.1) | 49 (20.9) | 3 (7.9) | 0.070 |
| Ova in biopsy | 12 (4.4) | 11 (4.7) | 1 (2.6) | 1 |
| | 49 (47.6) | 46 (46.9) | 3 (60.0) | 0.102 |
| | 48 (46.6) | 46 (46.9) | 2 (40.0) | 0.037* |
| Both | 6 (5.8) | 6 (6.2) | 0 (0.0) | |
| Positive serology, | 250 (91.9) | 213 (91.0) | 37 (97.4) | 0.332 |
| Increased IgEc, | 169 (63.8) | 159 (70.0) | 10 (26.3) | < 0.001* |
| Blood eosinophilia, | 130 (47.8) | 115 (49.1) | 15 (39.5) | 0.297 |
| Other helminths, | 49 (22.8) | 44 (18.8) | 5 (13.2) | 0.499 |
| Abnormal Ultrasound, | 124 (48.8) | 110 (50.2) | 14 (40.0) | 0.280 |
| Infection Site, | ||||
| IS | 48 (17.9) | 46 (20.0) | 2 (5.4) | 0.037* |
| HSS | 13 (5.1) | 13 (5.9) | 0 (0) | |
| UGS | 133 (48.9) | 120 (51.3) | 13 (34.2) | 0.056 |
| I | 110 (43.8) | 88 (40.6) | 22 (64.7) | 0.009* |
| Diagnosis Type, | ||||
| Confirmed | 103 (37.9) | 98 (41.9) | 5 (13.2) | 0.003* |
| Probable | 165 (60.6) | 133 (56.9) | 32 (82.2) | |
| Suspected | 4 (1.5) | 3 (1.2) | 1 (2.6) | |
Abbreviations: IS Intestinal, HSS Hepato-splenic schistosomiasis, UGS Urogenital schistosomiasis, I Indeterminate
aRelative frequencies for each variable are obtained on the sub-population for which information was available
bCalculation of the P-value was done through different statistical tests. Namely, Kolmogorov-Smirnov test was used for testing the difference in the distribution of age and elapsed time, whereas Fisher’s exact test was used for all dichotomous variables. Finally, the Chi-Squared test was used to test the difference in the distribution among diagnoses
cTotal IgE value equal or above the upper normal limit (≥120 IU/ml)
Fig. 2Pseudopolyp of the urinary bladder in an immigrant with S. haematobium infection
Crude and adjusted ORs for the association between patients’ characteristics and the risk of detection of ova in any specimena
| Covariateb | Ova present | Ova absent | Crude | Adjusted |
|---|---|---|---|---|
| Age | 26 (21–32.5) | 34 (27–44) | 0.93 (0.90–0.95) | 0.94 (0.91–0.97) |
| Male | 91.3% | 71.0% | 4.22 (1.92–10.31) | 2.04 (0.78–5.81) |
| Elapsed Time | 184 (56–328) | 209 (71–657) | 0.99 (0.99–0.99) | 1.00 (0.99–1.01) |
| Other Parasites | 18.4% | 17.5% | 1.06 (0.53–2.11) | 0.79 (0.36–1.70) |
| Endemics | 95.2% | 80.7% | 4.66 (1.72–15.87) | 2.08 (0.64–8.10) |
| Abnormal ultrasound | 61.0% | 41.0% | 2.23 (1.30–3.89) | 2.12 (1.15–3.96) |
| Symptoms presence | 59.2% | 50.0% | 1.45 (0.86–2.46) | 1.82 (0.98–3.42) |
| Increased IgEd | 80.0% | 53.7% | 3.43 (1.87–6.49) | 1.20 (0.53–2.72) |
| Blood eosinophilia | 64.0% | 37.3% | 2.98 (1.74–5.15) | 1.98 (1.03–3.83) |
Abbreviations: OR odds ratio, CI confidence interval
aDue to the heterogeneity of provenience of patients, covariates such as exposure time could not be included in models
bRelative frequencies are presented here, whereas the median (interquartile range) is reported for Age and Elapsed Time
cAdjusted for every other covariate through a multivariate logistic regression model
dTotal IgE value equal or above the upper normal limit (≥ 120 IU/ml)