Evaluation of Anti-COVID 19 Pfizer Vaccination Effect on COVID 19 Detection Using Breath Analysis

NCT ID: NCT04842708

Last Updated: 2022-02-07

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

43 participants

Study Classification

INTERVENTIONAL

Study Start Date

2020-12-24

Study Completion Date

2021-12-24

Brief Summary

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The objective of this study will be to evaluate the effect of vaccination on breath VOC content.

By capturing and analyzing the breath of anti-COVID-19 vaccinated subjects during the period of antibody production, the investigators will determine and quantify all the compounds associated with the body reaction to the COVID-19 antigen.

Detailed Description

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The objective of this study will be to evaluate the effect of vaccination on breath VOC content.

By capturing and analyzing the breath of anti-COVID-19 vaccinated subjects during the period of antibody production, the investigators will determine and quantify all the compounds associated with the body reaction to the COVID-19 antigen.

Rapidly growing serological evidence shows that IgM, IgG, and IgA antibodies against the S or N proteins evolve rapidly in the serum of asymptomatic as well as symptomatic COVID-19 patients within a week of infection or symptom onset and stay elevated with progressing disease.

Since the standard serology testing at Shamir Medical center tracks the presence of IgG only, those serologic tests will be conducted before and 48 hours following the second vaccination dose.

Nevertheless, since IgM antibodies are known to be produced by four to seven days following the first dose of vaccination, although IgM serology testing cannot be performed, the investigators are interested in sampling breath at this time range, in order for them to correlate it with the changes in the subjects' physiologic condition.

Since this is an unknown metabolic volatile compound mixture, the goal will be to identify compounds and quantify them with a high level of precision and subsequently correlate them with the disease.

Conditions

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Covid19

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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Healthy Volunteers that are not to be vaccinated against COVID19

Healthy Volunteers that are not eligible to be vaccinated against COVID19

Group Type NO_INTERVENTION

No interventions assigned to this group

Healthy Volunteers that are assigned to be vaccinated against COVID19

Healthy Volunteers that are eligible to be vaccinated against COVID19

Group Type EXPERIMENTAL

vaccination against COVID19

Intervention Type DIAGNOSTIC_TEST

subjects will undergo breath biopsy sampling before, 4-7 days post-first vaccination dose, and 7-10 days post-second vaccination dose.

Interventions

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vaccination against COVID19

subjects will undergo breath biopsy sampling before, 4-7 days post-first vaccination dose, and 7-10 days post-second vaccination dose.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Age 18 to 75 years at the time of consent
* Capable of understanding written and/or spoken language
* Able to provide informed consent
* Assigned to undergo anti-COVID-19 vaccination

Exclusion Criteria

* Age under 18 years old
* Under guardianship or deprived of liberty
* Pregnant or lactating woman
* Not eligible for anti-COVID-19 vaccination
Minimum Eligible Age

18 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Scentech Medical Technologies Ltd

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Shai Efrati, MD

Role: PRINCIPAL_INVESTIGATOR

Assaf-Harofeh Medical Center

Locations

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Shamir Medical Center

Be’er Ya‘aqov, , Israel

Site Status

Countries

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Israel

Other Identifiers

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Cov-2-SMC-V-2020

Identifier Type: -

Identifier Source: org_study_id

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