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Clinical Evaluation of Patient Preoperative Prep

Clinical Evaluation of ZP, A Patient Preoperative Skin Preparation

Status
Completed
Phases
Phase 3
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02831816
Enrollment
640
Registered
2016-07-13
Start date
2016-08-03
Completion date
2017-08-03
Last updated
2021-07-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Surgical Skin Preparation

Brief summary

The objective of the study is to demonstrate the antimicrobial efficacy of the ZP Preoperative Prep on skin flora of the abdomen and inguinal regions of human subjects.

Interventions

Apply topically.

Apply topically.

Apply topically.

Sponsors

Zurex Pharma, Inc.
Lead SponsorINDUSTRY

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Subjects of any race. * Subjects in good health. * Minimum skin flora baseline requirements on abdomen and groin. * Skin free of tattoos, dermatoses, abrasions, cuts, lesions, or other skin disorder near or on the applicable test area.

Exclusion criteria

* Topical or systemic antimicrobial exposure within 14 days prior to screening and treatment days, including antibiotics. * Subjects with a history of skin sensitivity, skin allergies, or skin cancer. * Subjects who are pregnant, attempting pregnancy, or nursing.

Design outcomes

Primary

MeasureTime frameDescription
Bacterial Reduction10 minutes post product applicationA a 3-log per cm2 bacterial reduction on the inguinal region is considered a success.
Bacterial Reduction - Abdomen10 minutes post product applicationA 2-log per cm2 bacterial reduction on the abdomen region is considered a success.

Countries

United States

Participant flow

Pre-assignment details

Enrollment consists of subjects that advanced from screening to randomization and treatment. Each subject had 2 test products applied bilaterally; therefore, the numbers will not add up uniformly across arms due to the pre-determined cohort/block design. Result totals will be less than than the treated number as the per subject/ area/intervention anatomical site must have an acceptable baseline count/flora.

Participants by arm

ArmCount
Treated Population
Each subject could have received 2 out of 3 test products randomly assigned. Demographics were not stratified by test product due to study design. While 640 was the treated population, to be evaluable for efficacy, each subject anatomical sample site (4/per subject) would need to pass the minimum log10 cfu/cm\^2 baseline requirements.
640
Total640

Baseline characteristics

CharacteristicTreated Population
Age, Continuous30 years
Ethnicity (NIH/OMB)
Hispanic or Latino
20 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
581 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
39 Participants
Race (NIH/OMB)
American Indian or Alaska Native
15 Participants
Race (NIH/OMB)
Asian
8 Participants
Race (NIH/OMB)
Black or African American
9 Participants
Race (NIH/OMB)
More than one race
0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
32 Participants
Race (NIH/OMB)
White
576 Participants
Sex: Female, Male
Female
164 Participants
Sex: Female, Male
Male
476 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
deaths
Total, all-cause mortality
0 / 5890 / 5900 / 131
other
Total, other adverse events
0 / 5890 / 5900 / 131
serious
Total, serious adverse events
0 / 5890 / 5900 / 131

Outcome results

Primary

Bacterial Reduction

A a 3-log per cm2 bacterial reduction on the inguinal region is considered a success.

Time frame: 10 minutes post product application

Population: Treated subjects with treatment day baseline criteria 5.0-7.5 log recoveries.

ArmMeasureValue (MEAN)Dispersion
Mean Log Reduction - ZP (70% IPA) - GroinBacterial Reduction4.04 log10 cfu/cm^2Standard Deviation 1.33
Mean Log Reduction - Groin - ChloraPrepBacterial Reduction4.01 log10 cfu/cm^2Standard Deviation 1.43
Mean Log Reduction - Groin - ZP VehicleBacterial Reduction1.60 log10 cfu/cm^2Standard Deviation 0.69
Comparison: Groin 10 minutes Average treatment effect, calculated using a linear regression model for each body site, was used for primary analysis. In the model, the response was the post-treatment log10 bacterial counts and predictors were the treatment effect as a fixed effect and the pre-treatment log10 bacterial counts as a covariate.95% CI: [-0.221, 0.18]
Comparison: Groin 10 minutes Average Treatment effect, calculated using a linear regression model for each body site, was used for primary analysis. In the model, the response was the post-treatment log10 bacterial counts and predictors were the treatment effect as a fixed effect and the pre-treatment log10 bacterial counts as a covariate.95% CI: [2.15, 2.76]
Primary

Bacterial Reduction - Abdomen

A 2-log per cm2 bacterial reduction on the abdomen region is considered a success.

Time frame: 10 minutes post product application

Population: Treated subjects with treatment day baseline criteria 3.0-5.5 log10 recoveries.

ArmMeasureValue (MEAN)Dispersion
Mean Log Reduction - ZP (70% IPA) - GroinBacterial Reduction - Abdomen2.99 log10 cfu/cm^2Standard Deviation 1.1
Mean Log Reduction - Groin - ChloraPrepBacterial Reduction - Abdomen2.79 log10 cfu/cm^2Standard Deviation 1.1
Mean Log Reduction - Groin - ZP VehicleBacterial Reduction - Abdomen1.00 log10 cfu/cm^2Standard Deviation 0.9
Comparison: Abdomen 10 minutes average treatment effect, calculated using a linear regression model for each body site, was used for primary analysis. In the model, the response was the post-treatment log10 bacterial counts and predictors were the treatment effect as a fixed effect and the pre-treatment log10 bacterial counts as a covariate.95% CI: [-0.2085, 0.1215]
Comparison: Abdomen 10 minutes Average Treatment Effect, calculated using a linear regression model for each body site, was used for primary analysis. In the model, the response was the post-treatment log10 bacterial counts and predictors were the treatment effect as a fixed effect and the pre-treatment log10 bacterial counts as a covariate.95% CI: [1.7, 2.25]

Source: ClinicalTrials.gov · Data processed: Feb 18, 2026