PrEPception: Expanding Assisted Reproductive Options for Serodiscordant Couples
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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Illinois
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Chicago, Illinois, United States, 60201
- Northwestern University
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Maryland
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Baltimore, Maryland, United States, 21287
- The Johns Hopkins University School of Medicine
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Massachusetts
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Boston, Massachusetts, United States, 02118
- Boston University Medical Center
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Pennsylvania
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Philadelphia, Pennsylvania, United States, 19102
- Drexel University
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Between the ages of 18 to 40 years
- In relationship with HIV-positive male
- Chosen to take PrEP for conception after completing counseling with health care provider
Exclusion Criteria:
- HIV-positive
- In relationship with HIV-negative female
- Partner has chosen to take PrEP for conception after completing counseling with health care provider
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Change in PrEP adherence levels throughout regimen
Time Frame: Monthly; participants will be followed for the duration of trying to conceive, an expected average of 1 year
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Adherence will be measured in two ways: (1) Dried blood spots (DBS) to measure drug level two times, once after the woman has been taking the drug for one month and once when pregnancy is confirmed.
We will perform unadjusted, bivariate analyses comparing participants below and equal to the drug level threshold for daily dosing using a one sample t-test for normally distributed continuous or ordinal variables on adherence.
We will also perform a paired t-test for measuring the difference, if any, between the two adherence tests at the different time points for each individual.
Adherence will also be measured through (2) participant self-report via a continuous variable of number of doses missed in the past month.
We will perform unadjusted, bivariate analyses comparing the observed participant self-reported adherence levels to the gold standard of ≥95% self-reported adherence using a one-sample t test of means for normally distributed continuous or ordinal variables.
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Monthly; participants will be followed for the duration of trying to conceive, an expected average of 1 year
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Change in condom use and sexual practice over time
Time Frame: Participants will be followed for the duration of trying to conceive, an expected average of 1 year
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Condom use will be measured through participant self-report on number of times a condom was used during the past month compared to the number of times the participant had sexual intercourse with his/her partner or other individuals in the past month.
We will perform unadjusted bivariate analyses comparing the observed participants in a one-sample student's t-test for normally distributed variables on condom use or a paired t-test for measuring the difference between two variables at different time points for the same subject (i.e. at baseline and at end-line evaluation).
For a non-normal distribution, we will use the non-parametric equivalent such as Sign or Wilcoxon Signed rank test for a symmetric distribution.
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Participants will be followed for the duration of trying to conceive, an expected average of 1 year
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Change in number of couples who complete a clinical protocol for PrEP compared to the total number of couples that initiate PrEP
Time Frame: Monthly; participants will be followed for the duration of trying to conceive, an expected average of 1 year
|
We will quantify this outcome measure by examining the number of couples who complete a clinical protocol for PrEP compared to the total number of couples that initiate PrEP, while examining other variables that could make the two groups statistically different.
We will perform unadjusted bivariate analyses comparing the number of couples that complete the clinical protocol and those who withdraw or become ineligible throughout the duration of the study.
We will use a one-way ANOVA or Kruskal-Wallis non-parametric test for continuous variables with two or more categories such as those that complete the protocol versus those that withdraw from PrEP versus those that become ineligible.
We will perform a two-sample test of means to compare the overall categories of those that complete the protocol versus those that do not complete the protocol and create cross-tabulations with chi-square and Fisher's exact tests.
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Monthly; participants will be followed for the duration of trying to conceive, an expected average of 1 year
|
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Change in beliefs and sexual behavior at different time points for the same subject
Time Frame: Monthly; participants will be followed for the duration of trying to conceive, an expected average of 1 year
|
For this outcome measure, we will perform unadjusted bivariate analyses in a paired t-test for measuring the difference in beliefs and sexual behavior at different time points for the same subject.
For a non-normal distribution, we will use the non-parametric equivalent such as Sign or Wilcoxon Signed rank test for a symmetric distribution.
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Monthly; participants will be followed for the duration of trying to conceive, an expected average of 1 year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Changes in creatinine clearance from the baseline compared to creatinine clearance at the conclusion of PrEP for the same subject
Time Frame: Participants will be followed for the duration of trying to conceive, an expected average of 1 year
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To assess renal toxicities, we will perform unadjusted bivariate analyses in a paired t-test for measuring the difference of creatinine clearance from the baseline compared to creatinine clearance at the conclusion of PrEP for the same subject.
For a non-normal distribution, we will use the non-parametric equivalent such as Sign or Wilcoxon Signed rank test for a symmetric distribution.
We will also report on basic drug side effects, while summarizing other self-reported effects of PrEP.
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Participants will be followed for the duration of trying to conceive, an expected average of 1 year
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Measuring the rates of teratogenicity as compared to the general population as determined by medical record review
Time Frame: 1 year
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We will perform unadjusted bivariate analyses in a two-sample test of means to compare rates of teratogenicity of newborns with HIV-negative females using PrEP as compared to rates of birth defects within the general population in similar age group women.
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1 year
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HIV transmission rates
Time Frame: Participants will be followed for the duration of trying to conceive, an expected average of 1 year
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For this outcome measure, we will report descriptively on whether there is a transmission or not within the observed participants taking PrEP for conception purposes.
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Participants will be followed for the duration of trying to conceive, an expected average of 1 year
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Margaret Sullivan, MD, Boston University Medical Campus
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
Other Study ID Numbers
- H-33071
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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