| Literature DB >> 31823806 |
Jean Claude Dejon-Agobé1,2, Jean Ronald Edoa3, Yabo Josiane Honkpehedji3,4, Jeannot Fréjus Zinsou3,4, Bayodé Roméo Adégbitè3, Mirabeau Mbong Ngwese3, Ance Mangaboula3, Bertrand Lell3,5,6, Tamirat Gebru Woldearegai6,7, Martin Peter Grobusch3,8,6, Benjamin Mordmüller6, Ayôla Akim Adegnika3,4,6,7.
Abstract
BACKGROUND: Sub-Saharan Africa carries most of the global burden of schistosomiasis. To optimize disease control and reduce morbidity, precise data are needed for control measures adapted to the local epidemiological situation. The objective of this study is to provide baseline information on schistosomiasis dynamics, including praziquantel (PZQ) treatment outcome in children and young adults living in the vicinity of Lambaréné, Gabon.Entities:
Keywords: Cure rate; Effectiveness; Efficacy; Egg rate reduction; Incidence; Morbidity; Praziquantel; Prevalence; Reinfection; Schistosoma spp.
Mesh:
Substances:
Year: 2019 PMID: 31823806 PMCID: PMC6905022 DOI: 10.1186/s13071-019-3836-6
Source DB: PubMed Journal: Parasit Vectors ISSN: 1756-3305 Impact factor: 3.876
Fig. 1Map of Lambaréné, Gabon, and surrounding localities. a The main human-water contact points in the different study areas. b Zilé-PK villages. c Bindo village
Study population baseline socio-demographic characteristics and distribution of schistosomiasis cases. The proportion of schistosomiasis cases is distributed at the end of phase 1 and at the end of phase 2
| Study population characteristics at baseline | Schistosomiasis cases | |||||||
|---|---|---|---|---|---|---|---|---|
| End of phase 1 | End of phase 2 | |||||||
| % | 95% CI (%) | % | % | |||||
| Overall | 328 | – | – | 103/258 | 39.9 | 33/188 | 17.5 | < 0.0001 |
| Age | ||||||||
| 6–8 | 69 | 21.0 | 16.7–25.8 | 16/61 | 26.2 | 10/44 | 22.7 | 0.86 |
| 9–11 | 102 | 31.1 | 26.1–36.4 | 34/80 | 42.5 | 13/66 | 19.7 | 0.006 |
| 12–14 | 81 | 24.7 | 19.8–29.4 | 32/69 | 46.4 | 7/50 | 14.0 | 0.0004 |
| 15–30 | 76 | 23.2 | 18.7–28.1 | 21/48 | 43.8 | 3/28 | 10.7 | 0.006 |
| Gender | ||||||||
| Female | 163 | 49.7 | 44.1–55.2 | 48/130 | 36.9 | 16/97 | 16.5 | 0.001 |
| Male | 165 | 50.3 | 44.7–55.8 | 55/128 | 43.0 | 17/91 | 18.7 | 0.0003 |
| Location | ||||||||
| Bindo | 69 | 21.0 | 16.7–25.8 | 6/52 | 11.5 | 1/39 | 2.6 | – |
| Zilé-PK | 259 | 79.0 | 74.1–83.2 | 97/206 | 47.1 | 32/149 | 21.5 | < 0.0001 |
aChi-square test to compare proportion of schistosomiasis cases between end of phase 1 and end of phase 2
Abbreviations: n, number of schistosomiasis cases; N, number of participants; CI, confidence interval
Fig. 2Study participants flowchart. The ellipse indicates participants monitored for praziquantel treatment outcome. For each proportion figure calculated, the denominator represents the number of subjects included (i.e. the numerator from the previous step)
Distribution of ERR and CR among the study population and by infection intensity
| Egg reduction rate (ERR) | Cure rate (CR) | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Post dose 1 | Post-dose 3 | Post-dose 1 | Post-dose 3 | |||||||||||
| e/Ea | % | e/Ea | % | % | % | |||||||||
| Study population | 309/4369 | 92.9 | 408/7953 | 94.9 | – | 0.003 | 52/67 | 77.6 | 72/82 | 87.8 | – | 0.15 | ||
| Age | < 0.0001 | < 0.0001 | < 0.0001 | 0.95d | 0.91 | 0.78 | ||||||||
| 6–8 | 5/313 | 98.4 | 7/2017 | 99.7 | 10/12 | 83.3 | 13/15 | 86.7 | ||||||
| 9–11 | 69/1727 | 96.0 | 70/2739 | 97.4 | 19/25 | 76.0 | 24/27 | 92.0 | ||||||
| 12–14 | 223/1420 | 84.3 | 99/1514 | 93.5 | 16/21 | 76.2 | 21/25 | 88.9 | ||||||
| 15–23 | 12/909 | 98.7 | 232/1683 | 86.2 | 7/9 | 77.8 | 14/15 | 93.3 | ||||||
| Gender | < 0.0001 | < 0.0001 | < 0.0001 | 0.058 | 0.09 | 0.007 | ||||||||
| Female | 7/1914 | 99.6 | 41/4602 | 99.1 | 27/30 | 90.0 | 39/41 | 95.1 | ||||||
| Male | 302/2455 | 87.7 | 367/3351 | 89.0 | 25/37 | 67.6 | 33/41 | 80.5 | ||||||
| Location | 0.020 | |||||||||||||
| Bindo | 0/1 | 100 | 38/512 | 92.6 | 1/1 | 100 | 3/4 | 75.0 | ||||||
| Zilé-PK | 309/4368 | 92.9 | 370/7441 | 95.0 | 0.0001 | 51/66 | 77.3 | 69/78 | 88.5 | 0.12 | ||||
| Infection intensity | < 0.0001 | < 0.0001 | < 0.0001 | 0.01d | 0.004d | < 0.0001 | ||||||||
| Light | 57/519 | 89.0 | 2/566 | 99.6 | 40/46 | 87.0 | 45/46 | 97.8 | ||||||
| Heavy | 252/3850 | 93.5 | 406/7387 | 94.5 | 12/21 | 57.1 | 27/36 | 75.0 | ||||||
aE is the total Schistosoma egg counts at baseline and e is the total Schistosoma egg counts at control
bN is the number of participants treated at baseline and n is the number of participants found negative at control
cP-value to assess the significant difference observed between post-dose 1 and post-dose 3 results
dFisher’s exact test applied
Note: The ERR and CR was assessed at PZQ post-dose1 (n = 67) and post-dose 3 (n = 82)
Fig. 3Kaplan Meier curves showing the probability to cure one month after the first and the third dose of praziquantel, respectively, among the general study population (a), per infection intensity (b) and per gender (c)
Suggestions for recommendation of praziquantel treatment according to the potential exposure level of the population to Schistosoma spp.
| Population group | Potential level of exposure to | Suggestion of the application of praziquantel treatment | Control strategy objective |
|---|---|---|---|
| (i) | No contact with freshwater bodies | No intervention required | – |
| (ii) | Accidental or occasional contact with freshwater bodies | Provide praziquantel in case of haematuria and one last dose when leaving the area | To cure and prevent morbidity |
| (iii) | Daily or frequent contact with freshwater bodies | Educate people to seek treatment once a year during their stay in the endemic area and one last dose when leaving the area | To prevent morbidity. Only the last dose will intend to cure |