| Literature DB >> 31856247 |
Daniel Lozano1,2, Lizeth Rojas1, Susana Méndez3, Aina Casellas3, Sergi Sanz3, Lourdes Ortiz4, María Jesús Pinazo3, Marcelo Abril5, Joaquim Gascón3, Faustino Torrico1,2, Julio Alonso-Padilla3.
Abstract
Chagas disease, caused by the parasite Trypanosoma cruzi, is the neglected tropical disease with a highest burden in Latin America. Its acute stage is mostly asymptomatic and goes unnoticed. Symptoms appear at the chronic stage, which is when diagnosis is usually made. This is based on the agreement of two conventional serological tests such as Enzyme-Linked Immunosorbent Assays (ELISAs). There are commercial kits with good sensitivity and specificity but their use is impractical in many highly endemic regions with poorly equipped laboratories. Luckily, several rapid diagnostic tests (RDTs) are available for the detection of anti-T. cruzi immunoglobulins. They are easy to operate, require no cold storage, provide fast turnaround of results, and some can work with a tiny volume of whole blood as sample. With the aim to field validate their use we compared an alternative algorithm based on a combination of RDTs with the standard based on ELISAs. In both cases a third test was available in case of discordance. RDTs were implemented by mobile teams in field campaigns to detect chronic T. cruzi-infections in the Chaco region of Bolivia. ELISAs were made in the reference laboratories located in the main hospitals of Yacuiba and Villa Montes, two major cities of the region. We enrolled 685 subjects who voluntarily participated in the study and had not been treated against the disease before. The agreement between the two main RDTs was 93.1% (638/685) (kappa index = 0.86; CI 95% 0.83-0.90). In comparison to the ELISAs algorithm, the combined use of the RDTs provided a sensitivity of 97.7% and a specificity of 96.1%. These results support the use of RDTs for the diagnosis of chronic Chagas disease in the studied region, and encourage their evaluation in other regions of Bolivia and other endemic countries.Entities:
Mesh:
Year: 2019 PMID: 31856247 PMCID: PMC6922313 DOI: 10.1371/journal.pntd.0007877
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Fig 1Study flowchart depicting the excluded subjects and the RDTs and ELISAs results of all of those included.
*Amongst the 47 discordant samples between the two main RDTs: 3 were CSP positive and CDP negative, and 44 were CSP negative and CDP positive; rate of disagreement = 6.9%. Hence, following the recommended algorithm, a third RDT based on distinct antigen set was used and the agreement of two out of three techniques considered. #The standard reference is the algorithm based on the agreement of two ELISAs, as recommended by the WHO/PAHO [4, 5].
Brief description of the population participating in the study.
| Average Age (years) | 31.0 (±19.4) [685] | ||
| Age groups (years) | [1–4] | 53 (8%) | |
| [5–14] | 118 (17%) | ||
| [≥15] | 514 (75%) | ||
| Gender | Male | 242 (35%) | |
| Female | 443 (65%) | ||
1Arithmetic mean (SD) [N];
2N (column percentage).
Performance of the algorithms based on ELISAs or RDTs for the diagnosis of chronic Chagas disease.
| Tests | Agreement between tests (%) | Kappa (CI95%) | Discordant results | Seropositive by final algorithm | Seronegative by final algorithm |
|---|---|---|---|---|---|
| Wiener ELISAs | 96.1% | 0.92 (0.89–0.95) | 27 (3.9%) | 304 (44.4%) | 381 (55.6%) |
| CSP | 93.1% | 0.86 (0.83–0.90) | 47 (6.9%) | 312 (45.5%) | 373 (54.5%) |
*Final algorithm result obtained upon testing discordant samples with the corresponding third test in each case.
Fig 2Seroprevalence per age group.
Serological status of patients per age group studied. Dark bars show the number of positive samples out of the total samples (whole bars) per age group (scale at left Y-axis); line indicates the % of positive patients per age group (scale at right Y-axis).
Table comparing the results of Chagas Stat Pack (CSP) and Chagas Detect Plus (CDP) individually or taking into consideration their combined use (RDTs) versus the "gold-standard" based on ELISAs.
| ELISAs | CSP | CDP | RDTs | |
|---|---|---|---|---|
| 0 | 10 | 49 | 15 | |
| 304 | 297 | 299 | 297 | |
| 0 | 7 | 5 | 7 | |
| 381 | 371 | 332 | 366 | |
| 685 | 685 | 685 | 685 | |
| - | 97.5 | 92.1 | 96.8 | |
| - | 0.95 (0.93–0.97) | 0.84 (0.80–0.88) | 0.94 (0.91–0.96) | |
| - | 97.7 | 98.4 | 97.7 | |
| - | 97.4 | 87.1 | 96.1 | |
| - | 96.7 | 85.9 | 95.2 | |
| - | 98.1 | 98.5 | 98.1 | |
| - | 97.5 | 92.1 | 96.8 |
Note that CSP, CDP and RDTs results of “% of agreement” (and kappa value), “sensitivity”, “specificity”, “PPV”, “NPV” and “DE” shown in the table correspond to their comparison to the outcome of using the ELISAs.
*, results obtained with the standard algorithm based on the agreement of two conventional serological tests (ELISAs in this case);
#, results obtained with the combined use of up to three RDTs, as described.