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Trial · NCT03981523

New Therapies and Biomarkers for Chagas Infection

NCT03981523, Phase 2, Completed, University of Texas, El Paso

3 sourcestrials-2026-11-12-0.5.0

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ConductScience Library. New Therapies and Biomarkers for Chagas Infection. Trials, record NCT03981523. Release trials-2026-11-12-0.5.0, 12 Nov 2026. https://conductscience.org/library/trials/NCT03981523

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Trial

As registered on ClinicalTrials.gov, in the graph's capture of the registry.

Title
New Therapies and Biomarkers for Chagas Infection
NCT number
NCT03981523
Status
Completed
Phases
Phase 2
Enrollment
450 participants, actual
Lead sponsor
University of Texas, El Paso
Conditions
Trypanosoma Cruzi Infection, Chagas Disease
Interventions
Benznidazole, Nifurtimox
First posted
2019-06-11
Last updated
2024-07-17

Source ClinicalTrials.gov

Registered outcomes10

Each outcome the trial registered, primary first, in ClinicalTrials.gov's words.

ListOutcomeTime frameDescription
PrimarySustained Parasitological Clearance by qPCR at End of Follow-Up (36 months)up to 36 months
The primary efficacy endpoint or measure is a binary 'cured' (success), 'not-cured' (failure) variable based on a total of eight qPCR timepoints from end-of-treatment (EOT) up to 36 months of follow-up. Each of the timepoints includes a total of three sequential qPCR examinations on blood samples collected during one visit. Therefore, for a patient to be considered "cured", a total of 24 negative qPCR results should be documented. Blood samples to be collected at EOT (30, 60, or 90 days), and at 4, 6, 12, 18, 24, 30 and 36 months of follow-up (with a window period of +/- 7 days from 4 to 12 months and +/- 14 days from 18 to 36 months).
SecondaryChanges Over Time in the blood parasitic load by qPCRDays 14-17, 59-62; EOT-30, EOT-60, and EOT-90; and months 4, 6, 12, 18, 24, 30, and 36 during follow-up (with a window period of +/- 7 days from 4 to 12 months and +/- 14 days from 18 to 36 months).
Evaluate changes over time in blood parasitic load as measured by qPCR. The unit for the qPCR is parasite equivalents/milliliter of blood (Par. Eq./mL). The limit of detection (LOD) and limit of quantification (LOQ) for the qPCR assay is 0.69 and 1.5 Par. Eq./mL blood, respectively. Kaplan-Meier survival curves will be drawn to depict the time-to-reappearance of blood parasitic load for patients who have cleared blood parasitic load at EOT (as such this is a time-to-relapse for 'success' patients) across treatment groups. A discrete-time survival model will be used to analyze this event time data. Change in parasite load over time assessed at days 14-17, 59-62, and EOT (30, 60, or 90 days), according to the treatment arm, and months 4, 6, 12, 18, 24, 30, and 36 of follow-up (with a window period of +/- 7 days from 4 to 12 months and +/- 14 days from 18 to 36 months), as measured by qPCR.
SecondaryChanges Over Time in the Conventional Serology using parasite antigenic mixtureDay -28; EOT-30, EOT-60, and EOT-90; and months 4, 6, 12, 18, 24, 30, and 36 (with a window period of +/- 7 days from 4 to 12 months and +/- 14 days from 18 to 36 months) during follow-up.
Evaluate changes over time in serological titers and incidence of negative seroconversion through conventional serology. Chagas disease serology commercial kit using a parasite antigenic mixture (lysate) will be used to perform this analysis. Serum samples from all timepoints in the study for each patient will be analyzed in the same ELISA plate to avoid bias due to interassay variations. Generalized linear mixed-effects models will be used to evaluate the conventional serological response over time. The dependent variable in both models will be a binary conventional serology parameter. The treatment arm will be included in the model as a fixed effect. The significance of the treatment covariate will be tested at the 0.05 two-sided significance level with Likelihood Ratio Test.
SecondaryChanges Over Time in the Conventional Serology using recombinant parasite antigensDay -28; EOT-30, EOT-60, and EOT-90; and months 4, 6, 12, 18, 24, 30, and 36 (with a window period of +/- 7 days from 4 to 12 months and +/- 14 days from 18 to 36 months) during follow-up.
Evaluate changes over time in serological titers and incidence of negative seroconversion through conventional serology. Chagas disease serology commercial kit using recombinant parasite antigens will be used to perform this analysis. Serum samples from all timepoints in the study for each patient will be analyzed in the same ELISA plate to avoid bias due to interassay variations. Generalized linear mixed-effects models will be used to evaluate the conventional serological response over time. The dependent variable in both models will be a binary conventional serology parameter. The treatment arm will be included in the model as a fixed effect. The significance of the treatment covariate will be tested at the 0.05 two-sided significance level with Likelihood Ratio Test.
SecondaryChanges Over Time in the Non-Conventional Serology Biomarker "Lytic Anti-α-Gal Antibodies"
Days 0, 14-17, 59-62; EOT-30, EOT-60, and EOT-90; and at months 4, 6, 12, 18, 24, 30, and 36 during follow-up (with a window period of +/- 7 days from 4 to 12 months and +/- 14 days from 18 to 36 months).
Evaluate changes over time in the non-conventional serology biomarker (BMK) "Lytic Anti-α-Gal Antibodies" and incidence of negative seroconversion for it, as measured by chemiluminescent (CL)-ELISA using T. cruzi tGPI-mucins as antigens. CL-ELISA unit is the Titer (T). T is the ratio of the relative luminescence units (RLU) of the tested serum to the cutoff value (CV). The CV is calculated by defining the upper prediction limit (as standard deviation, SD), multiplied by a factor according to the number of negative controls (NC) and a confidence interval of 99.5%. For each test plate in which six NC are included, the CV is defined as the NC mean plus 4.355 times the SD. A serum sample is positive when T = or \>1.000; negative when T = or \< 0.900; and inconclusive when T \> 0.900, \< 1.000. Generalized linear mixed-effects models (GLMM) will define how this BMK affects binary outcomes of parasite clearance. The BMK variable will be included in the model, with repeated measures.
SecondaryChanges Over Time in the Non-Conventional Serology Biomarker "Anti-KMP11 Antibodies"
Days 0, 14-17, 59-62; EOT-30, EOT-60, and EOT-90; and at months 4, 6, 12, 18, 24, 30, and 36 during follow-up (with a window period of +/- 7 days from 4 to 12 months and +/- 14 days from 18 to 36 months).
This BMK is measured by Enzyme-Linked Immunosorbent Assay (ELISA), whose unit is Optical Density (OD) at 492 nm. Cutoff: A negative result will be considered when OD values = or \<0.200, and positive when OD values \>0.300, at 1/200 serum dilution; indeterminate results will be OD values comprised between 0.200 and 0.300. Therapeutic efficacy will imply a continuous and substantial drop in the reactivity after treatment. A substantial decrease has to be at least 40% compared with the reactivity at T0 (before treatment). A slight increase (= or \<20%) in the reactivity against the BMK shortly after treatment versus OD at T0 will be allowed. Generalized linear mixed-effects models (GLMM) will define how this BMK affects binary outcomes of parasite clearance. The BMK variable will be included in the model, with repeated measures.
SecondaryChanges in the Non-Conventional Serology Biomarker "Anti-HSP70 Antibodies"
Days 0, 14-17, 59-62; EOT-30, EOT-60, and EOT-90; and at months 4, 6, 12, 18, 24, 30, and 36 during follow-up (with a window period of +/- 7 days from 4 to 12 months and +/- 14 days from 18 to 36 months).
This BMK is measured by Enzyme-Linked Immunosorbent Assay (ELISA), whose unit is Optical Density (OD) at 492 nm. Cutoff: A negative result will be considered when OD values = or \<0.300, and positive when OD values \>0.450, at 1/200 serum dilution; indeterminate results will be OD values comprised between 0.300 and 0.450. Therapeutic efficacy will imply a continuous and substantial drop in the reactivity after treatment. A substantial decrease has to be at least 30% compared with the reactivity at T0 (before treatment). A slight increase (= or \< 20%) in the reactivity against the BMK shortly after treatment versus OD at T0 will be allowed.
SecondaryChanges Over Time in the Non-Conventional Serology Biomarker "Anti-PFR2 Antibodies"
Days 0, 14-17, 59-62; EOT-30, EOT-60, and EOT-90; and at months 4, 6, 12, 18, 24, 30, and 36 during follow-up (with a window period of +/- 7 days from 4 to 12 months and +/- 14 days from 18 to 36 months).
This BMK is measured by Enzyme-Linked Immunosorbent Assay (ELISA), whose unit is Optical Density (OD) at 492 nm. Cutoff: A negative result will be considered when OD values = or \<0.250 at 1/400 dilution, and positive when OD values \>0.350, at 1/400 serum dilution; indeterminate results will be OD values comprised between 0.250 and 0.350. Therapeutic efficacy will imply a continuous and substantial drop in the reactivity after treatment. A substantial decrease has to be at least 40% compared with the reactivity at T0 (before treatment). A slight increase (= or \<20%) in the reactivity against the BMK shortly after treatment versus OD at T0 will be allowed. Generalized linear mixed-effects models (GLMM) will define how this BMK affects binary outcomes of parasite clearance. The BMK variable will be included in the model, with repeated measures.
SecondaryChanges Over Time in the Non-Conventional Serology Biomarker "Anti-Peptide 3973 Antibodies"
Days 0, 14-17, 59-62; EOT-30, EOT-600, and EOT-90; and at months 4, 6, 12, 18, 24, 30, and 36 during follow-up (with a window period of +/- 7 days from 4 to 12 months and +/- 14 days from 18 to 36 months).
This BMK is measured by Enzyme-Linked Immunosorbent Assay (ELISA), whose unit is Optical Density (OD) at 492 nm. Cutoff: A negative result will be considered when OD values = or \<0.250, and positive when OD values \>0.350, at 1/400 serum dilution; indeterminate results will be OD values comprised between 0.250 and 0.350. Therapeutic efficacy will imply a continuous and substantial drop in the reactivity after treatment. A substantial decrease has to be at least 40% compared with the reactivity at T0 (before treatment). A slight increase (= or \<20%) in the reactivity against the BMK shortly after treatment versus OD at T0 will be allowed. Generalized linear mixed-effects models (GLMM) will define how this BMK affects binary outcomes of parasite clearance. The BMK variable will be included in the model, with repeated measures.
SecondaryChanges Over Time in the Non-Conventional Serology Biomarker "Trypomastigote Excreted/Secreted Antigens (TESA)"
Days 0, 14-17, 59-62; EOT-30, EOT-60, and EOT-90; and at months 4, 6, 12, 18, 24, 30, and 36 during follow-up (with a window period of +/- 7 days from 4 to 12 months and +/- 14 days from 18 to 36 months).
Evaluate changes over time in the non-conventional serology biomarker (BMK) "Trypomastigote Excreted/Secreted Antigens (TESA)" and incidence of negative seroconversion for it, as measured by the aptamer assay. The unit of the aptamer assay is relative fluorescence unit (RFU). A Signal to Cutoff (S/CO) ratio is calculated for each clinical specimen by dividing the RFU value of the test sample by the cutoff (CO). The CO is the highest RFU value obtained from the endemic control specimens included in each run. The S/CO of a positive control included in the same run must meet pre-established acceptance criteria to be valid. A specimen with an S/CO \> 1.0 is interpreted as positive for the presence of the BMK (=infected). A specimen with an S/CO \< 1 is interpreted as negative (=non-infected). Generalized linear mixed-effects models (GLMM) will define how this BMK affects binary outcomes of parasite clearance. The BMK variable will be included in the model, with repeated measures.

Outcomes0

Each outcome the trial posted results for, in ClinicalTrials.gov's words.

None in this release.

Results by group0

Each measurement the trial posted, group by group, in the words and numbers it posted.

None in this release.

Participant flow0

How many started, completed or left each group, period by period.

None in this release.

Adverse events0

Each adverse event the trial posted, group by group: the participants affected out of those at risk.

None in this release.

Adverse event totals0

The totals the trial posted for each group.

None in this release.

Papers20

The papers the trial lists on ClinicalTrials.gov.

PMIDListed asSource
10194457BACKGROUNDPubMed
10395865BACKGROUNDPubMed
11334941BACKGROUNDPubMed
14580960BACKGROUNDPubMed
18000201BACKGROUNDPubMed
18162039BACKGROUNDPubMed
19254164BACKGROUNDPubMed
20398860BACKGROUNDPubMed
20399979BACKGROUNDPubMed
20932171BACKGROUNDPubMed

1 to 10 of 20

See all 20 papers

Grants1

The grants NIH RePORTER links to the trial, newest funded first: NIH's, and some of AHRQ's, CDC's, FDA's and VA's. Each shows its title, principal investigators, organization and funder in its newest year.

ProjectTitlePrincipal investigatorsOrganizationFunderFiscal years
U01AI129783New chemotherapy regimens and biomarkers for Chagas diseaseALMEIDA, IGOR C; GASCON, JOAQUIM; TORRICO, FAUSTINOUNIVERSITY OF TEXAS EL PASONATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES2018 to 2024

Trial comparisons0

Comparisons of the trial's two groups, calculated by ConductScience from the counts it posted.

None in this release.

Tests0

The ConductCognition tests this trial's registered outcomes name, as ScienceGraph matched them in trial-tests-2026-11-12-0.2.1.

None in this release.

Data dates

The day each source was copied for this release.

ClinicalTrials.gov
2026-11-12
ClinicalTrials.gov
Results, from AACT
2026-03-23
AACT
NIH grant links
2026-11-13
NIH RePORTER

Sources 3

  • ClinicalTrials.gov's posted results, through CTTI's AACTFreely available. Acknowledgement requested
  • ClinicalTrials.govNo license stated
  • NIH RePORTER's clinical studies and project filesPublic domain
Each source's terms
  • ClinicalTrials.gov's posted results, through CTTI's AACTClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299
  • ClinicalTrials.govnone stated
  • NIH RePORTER's clinical studies and project filesPublic domain (NIH RePORTER)

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

For software

Read this trial from software.

The record and each of its lists are JSON, twenty rows a page. No key.

GET https://conductscience.org/api/trials/v1/NCT03981523

GET https://conductscience.org/api/trials/v1/NCT03981523/registered