| Literature DB >> 23209860 |
Patrick Mitashi1, Epco Hasker, Veerle Lejon, Victor Kande, Jean-Jacques Muyembe, Pascal Lutumba, Marleen Boelaert.
Abstract
While the incidence of Human African Trypanosomiasis (HAT) is decreasing, the control approach is shifting from active population screening by mobile teams to passive case detection in primary care centers. We conducted a systematic review of the literature between 1970 and 2011 to assess which diagnostic tools are most suitable for use in first-line health facilities in endemic countries. Our search retrieved 16 different screening and confirmation tests for HAT. The thermostable format of the Card Agglutination Test for Trypanosomiasis (CATT test) was the most appropriate screening test. Lateral flow antibody detection tests could become alternative screening tests in the near future. Confirmation of HAT diagnosis still depends on visualizing the parasite in direct microscopy. All other currently available confirmation tests are either technically too demanding and/or lack sensitivity and thus rather inappropriate for use at health center level. Novel applications of molecular tests may have potential for use at district hospital level.Entities:
Mesh:
Year: 2012 PMID: 23209860 PMCID: PMC3510092 DOI: 10.1371/journal.pntd.0001919
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Figure 1Flow diagram for study selection.
Evaluation of feasibility of all methods according to ASSURED criteria.
| Affordable(Euro) | Sensitivity(%) | Specificity(%) | User-friendly | Rapid(minutes) | Robust | Equipment-free | Deliverable | |
| Tests | ||||||||
| CATT | 0•46 | 68.8–100 | 83•5–99•3 | Yes | <30 | No | Yes | Yes |
| CATT dilution | 1 | 78•8 | 58•5–99•5 | No | <30 | No | No | Yes |
| MicroCATT | 0•8 | 91–92•7 | 93•7–100 | No | <30 | No | No | Yes |
| CATT-D10 | 1•5–2 | NR | NR | Yes | <30 | Yes | Yes | Yes |
| Latex | 0•8 | 67•9–100 | 96•1–99•2 | No | <30 | No | No | Yes |
| IFAT | 5–7 | 75•6–99•2 | 99•4–100 | No | >120 | No | No | No |
| ELISA | 0•62 | 96•3–100 | 94•7–100 | No | >120 | No | No | No |
| Immune trypanolysis test | >5 | 97•2–100 | 100 | No | >120 | No | No | No |
| WBF | 0•21 | 3•9–54•2 | 1† | Yes | 16 | n.a | Yes | No |
| TBF | 0•54 | 25•9–100 | 1† | Yes | 47 | Yes | Yes | No |
| LNA | 0•19 | 18•8–63•6 | 1† | Yes | 16 | n.a | Yes | No |
| mHCT | 0•76 | 44•3–93•0 | 1† | No | 18 | Yes | No | No |
| QBC | 3 | 100 | 1† | No | <30 | Yes | No | Yes |
| mAECT | 3 | 75•3–90•9 | 1† | No | ∼30 | Yes | No | Yes |
| mAECT-bc | 3 | 96•5 | 1† | No | >30 | Yes | No | Yes |
| PCR | 2•6–4•8 | 70•0–100 | 71•4–100 | No | 120–240 | No | No | No |
| PCR-OC | 2•6–4•8 | 82•4–100 | 99•2–100 | No | 120–240 | No | No | No |
| NASBA | 5•20 | 70•0 | 100 | No | 120 | No | No | No |
| NASBA-OC | 4•0–4•5 | 73•0–97•1 | 99•2–100 | No | 90 | No | No | No |
| LAMP | 5 | 75•0 | 100 | No | 30–60 | No | No | No |
1† = specificity of these techniques is assumed to be 100%.
Summary of published sensitivity estimates of parasite detection methods for HAT.
| Authors | Participant countries | Test | Number of participants | Sensitivity(CI 95%) |
| Henry et al | DRC | WBF | 96 | 54•2 [43•8–64•3] |
| Miezan et al | IC | WBF | 58 | 22•4 [11•9–37•7] |
| Lutumba et al | DRC | WBF | 154 | 3•9[1•6–8•7] |
| Henry et al | Zaïre(DRC) | TBF | 96 | 82•3 [72•9–89•1] |
| Miezan et al | IC | TBF | 58 | 34•5 [22•8–48•2] |
| Lutumba et al | DRC | TBF | 154 | 25•9 [19•3–33•7] |
| Bailey et al | Uganda | TBF | 30 | 93•3 [76•5–98•8] |
| Truc et al | IC | TBF | 11 | 100 [67•9–99•2] |
| Henry et al | DRC | LNA | 96 | 51•6 [41•2–61•8] |
| Nantulya et al | Uganda/IC | LNA | 77 | 63•6 [51•8–74•0] |
| Miezan et al | IC | LNA | 58 | 58•6 [44•9–71•1] |
| Lutumba et al | DRC | LNA | 154 | 18•8 [13•0–26•3] |
| Bailey et al | Uganda | LNA | 30 | 63•3 [43•9–79•4] |
| Truc et al | IC | LNA | 11 | 63•6 [31•6–87•6] |
| Duvallet et al | IC | LNA | 95 | 51•6[41•2–61•9] |
| Duvallet et al | IC | mHCT | 95 | 86•3[77•4–92 •2] |
| Nantulya et al | Uganda,IC | mHCT | 77 | 44•2[33•0–55•9] |
| Miezan et al | IC | mHCT | 58 | 48•3[35•1– 61•7] |
| Lutumba et al | DRC | mHCT | 154 | 56•5[48•3–64•4] |
| Truc et al | IC | mHCT | 11 | 54•5[24•5–81•8] |
| Mcnamara et al | Uganda | mHCT | 19 | 94•7[71•8–99•7] |
| Bailey et al | Uganda | QBC | 30 | 100[85•9–99•70] |
| Truc et al | IC | QBC | 11 | 100[67•8–99•2] |
| Mcnamara et al | Uganda | QBC | 19 | 100[79•1–99•5] |
| Truc et al | IC | mAECT | 11 | 90•9[57•1–99•5] |
| Nantulya et al | IC | mAECT | 77 | 85•7[75•4–92•3] |
| Miezan et al | IC | mAECT | 58 | 84•5[72•1–92•2] |
| Lutumba et al | DRC | mAECT | 154 | 75•3[67•6–81•7] |
| Camara et al | G-E | mAECT-bc | 57 | 96•5[86•8–99•4] |
IC = Ivory Coast; DRC = Democratic Republic of Congo; G-E = Guinée Equatoriale.
Summary of published sensitivity and specificity estimates of several molecular methods techniques for HAT.
| Authors | Participant countries | Test | Target | Number of participant (case/controls) | Sensitivity (CI95%) | Specificity (CI95%) | Remarks |
| Kabiri et al | G-E&Angola | PCR | ESAG6/7 | 23/36 | 86•9[65•3–96•5] | 97•2[83•8–99•8] | |
| Penchenier et al | Cameroon,G-E,RCA | PCR | Satellite DNA | 155/1654 | 99•4[96–100] | 96•8[95•8–97•6] | |
| Kyambadde et al | Uganda | PCR | Satellite DNA | 14/21 | 100[73•2–99•3] | 71•4[47•7–87•8] | Comparison of PCR results, CATT and HCT |
| Solano et al | IC | PCR | Satellite DNA | 26/49 | 100[84•0–99•6] | 91•8[79•5–97•3] | |
| Radwanska et al | IC | PCR | TgsGP gene | 14/78 | 100[73•2–99•3] | 100[91•3–99•8] | |
| Becker et al | Sudan | Real-time PCR | Satellite DNA | 13/5 | 100[71•6–99•3] | 100[46•3–98•1] | |
| Koffi et al | IC | PCR | Satellite DNA | 38/463 | 100[88•6–99•8] | 89•8[86•6–92•3] | |
| Deborggraeve et al | DRC | PCR-OC | 18S rDNA | 26/47 | 100[84•0–99•6] | 100[90•6–99•8] | |
| Njiru et al | Uganda | LAMP | RIME | 8/12 | 75•0[35•6–95•5] | 100[70•0–99•2] | Archived samples |
| Mugasa et al | Uganda & DRC | NASBA-RT | 18S rRNA | 33/50 | 93•9[78•3–98•9] | 100[91•1–99•8] | Controls: nonendemic & endemic controls |
| Mugasa et al | Uganda & DRC | NASBA-OC | 18S rRNA | 36/27 | 97•2[83•8–99•9] | 59•3[39•0–77•0] | |
| Matovu et al | Uganda & DRC | NASBA-OC | 18S rRNA | 68/122 | 97•1[90•0–99•2] | 99•2[95•6–99•9] | |
| Matovu et al | Uganda & DRC | PCR-OC | 18S rDNA | 68/123 | 82•4[71•6–89•6] | 99•2[95•5–99•9] | |
| Deborggraeve et al | DRC | PCR | 18 rDNA | 358/129 | 88•4[63•6–73•3] | 99•2 [97•7–100] |