Skip to content

Professional's Health in Epidemiological Crisis Covid-19

SARS-CoV-2 Infection Among Healthcare Professionals: Demographic Characteristics and Serological and Immune Responses Related to Progression's Phenotype (ProHEPiC-19)

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04885478
Acronym
ProHEpiC-19
Enrollment
1350
Registered
2021-05-13
Start date
2020-03-30
Completion date
2022-06-30
Last updated
2021-05-21

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

Conditions

COVID-19, SARS-CoV-2

Keywords

COVID-19, Serological test, Kinetics, T cell, Citokines

Brief summary

Introduction: Coronavirus Disease 2019 (COVID-19) has caused a global pandemic. Epidemiological and clinical inter-individual differences, symptomatology, recovery and humoral response against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) are key factors to better understand and predict the course of the pandemic. As Health Care Workers (HCWs) are caring for infected patients they are more susceptible to infection, which not only is critical for their own health but also because it results in a shortage of HCWs that seriously affects health services. Thus, maintaining the health and welfare of HCWs and enabling their rapid return to work is vital to overcome this crisis. The ProHEpiC-19 cohort presents data on the immune response of HCWs infected with SARS-CoV-2. This dynamic cohort was started in March 2020 and still continues including participants.

Detailed description

Objectives: Primary: To consolidate a prospective cohort of Health Care Workers (HCWs) to generate epidemiological and clinical high quality data. This information will be relevant to improve health policies and clinical COVID-19 protocols. This cohort will also be used as an ongoing platform to implement SARS-CoV-2 research projects with particular emphasis on incidence rate, reinfection, vaccines, and long term immune response. Secondary: 1. To determine the kinetics of SARS-CoV-2 antibodies and cellular immune response in early, mid, and long periods of immunization. 2. To assess the relation between clinical variables and initial RT-PCR results with the interindividual differences in the immune response in early, mid, and long periods of immunization. 3. To analyze differentially expressed cytokines as biomarkers of disease progression in early, mid, and long periods of immunization. Methods and analysis: Longitudinal, dynamic, prospective cohort study with a 12-month follow-up, which is being conducted in 4 primary-care centres and one hospital of Northern Metropolitana Nord of Barcelona (Spain). For now, the study consists of 1350 participants divided into 2 cohorts: 1) Healthy-Exposed HCWs: 675 not infected by SARS-CoV-2 (RT-PCR with a negative result and negative SARS-CoV-2 antibodies at baseline) and 2) Infected HCWs: 675 symptomatic participants (those with new persistent cough, temperature ≥37.5°C, anosmia, or ageusia or other compatible symptoms with COVID-19) or asymptomatic participants diagnosed by positive RT-PCR test and/or SARS-CoV-2 antibodies (IgM, IgG at baseline). Primary outcomes include: humoral and cellular immune response, quantitative antibodies to SARS-Cov-2, SARS-CoV-2 antibody levels related to progression phenotype, clinical spectrum of SARS-Cov-2, symptomatology, demographics and other variables that may be predictive of immune response. Follow-up: baseline, 15 days, 1, 3, 6, 9 and 12 months. Findings to date: Current literature has shown that the immune response is maintained for a minimum of 2 months. Nevertheless little is known about the association between the immune response and the progression phenotype of COVID-19 . Future plans: This prospective cohort offers the possibility to study associations between immune response and progression phenotype according to age and gender as well as long-term immune response. In turn, we will be able to examine possible cumulative effects, taking into account several clinical variables. The study is ongoing and we plan to extend it to increase the size of the cohort until 2024.

Interventions

OTHERImmune response monitoring , blood samples

In both cohorts: -SARS-CoV-2 IgG and IgM antibodies, ( Nucleocapside, Spike) in 8 visits during a year. Infected HCW: * Cytokines and T-Cell determination at baseline, 30, 60,180 days, 365 after positive test ( RT-PCR or SARS-CoV-2 antibodies ) * Covid-19 Symptoms, clinical monitoring

Sponsors

Fundació Institut Germans Trias i Pujol
CollaboratorOTHER
IrsiCaixa
CollaboratorOTHER
Institut Catala de Salut
CollaboratorOTHER_GOV
Fundacio d'Investigacio en Atencio Primaria Jordi Gol i Gurina
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 70 Years
Healthy volunteers
No

Inclusion criteria

* ≥ 18 years of age * Accept to take part in the study and sign the informed consent according to the Declaration of Helsinki. * To be a health care professional worker infected or exposed to SARS-CoV-2.

Exclusion criteria

* \< 18 years old * Not to accept to take part in the study and/or not to sign the informed consent according to the Declaration of Helsinki. * Not to be a health care professional worker exposed to SARS-CoV-2

Design outcomes

Primary

MeasureTime frameDescription
Creation prospective cohort of health care workersBaseline, to 12 months after the beginning of the studyInclude 675 exposed HCW participants and 675 infected HCW participants againts SARS-CoV-2, cohorts will be compared at each time point in terms of sociodemographic, epidemiological, clinical, and immunological information available. an exploratory bivariate analysis will be performed using the tests of Chi Square, ANOVA, Kruskall-Walis, depending on the application conditions assumptions.
Cohort description demografics ( age, sex, academic level, housing characteristics, work variables )Baseline, to 12 months after the beginning of the studyDescriptive analysis of the participants will be performed using the number and percentage for categorical variables, and mean and standard deviation or median and quartiles 1 and 3 for quantitative variables, an exploratory bivariate analysis will be performed using the tests of Chi Square, ANOVA, Kruskall-Walis, depending on the application conditions assumptions.
Cohort description clinical spectrum (asymptomatic, mild-moderate Illness, severe-critical)Baseline, to 12 months after the beginning of the studyCohort comparison , an exploratory bivariate analysis will be performed using the tests of Chi Square, ANOVA, Kruskall-Walis, depending on the application conditions assumptions.

Secondary

MeasureTime frameDescription
Kinetics of SARS-CoV-2. T-CellBaseline, 7 days, 15 days, 3, 6, 9 and 12 months after the beginning of the studySARS-CoV-2 specific CD4+ and CD8+ T-cell responses we performed an IFNγ ELISPOT assay. Wells will be considered positive if they contained at least 50 spot-forming cells per 106 PBMCs above the background level (2X mean + 3Xstandard deviation).
To assess the relation between clinical variables and initial RT-PCR results in the whole sample and by sex.Baseline, to 12 months after the beginning of the studyTo study the differences between clinical spectrums and initial RT-PCR we will use ANOVAs or Kruskal-Wallis tests, after checking normality assumption using a Shapiro-test
Kinetics of SARS-CoV-2. IgM NucleocapsideBaseline, 7 days, 15 days, 3, 6, 9 and 12 months after the beginning of the studyIgM (nucleocapside) ELISA kits (Inmunodiagnostic Limited ©). Positivity thresholds were provided by the assay manufacturers and were considered positive with an index value greater than 1.1, indeterminate from 0.9 to 1.1 and negative if \<0.9 index units
Cytokines as biomarkers of disease progression in early, mid, and long periods of immunization.Baseline, 7 days, 15 days, 3, 6, 9 and 12 months after the beginning of the studyCryopreserved plasma samples will be used in a 45-plex assay of soluble mediators. The plates will be read with a Luminex instrument (Luminex 200, Austin Luminex, USA).Appropriate statistical tests (i.e. t-test or Mann-Whitney to compare between sexes and ANOVA or Kruskal-Wallis to compare between clinical spectrums) will be used after checking for normality (Shapiro-test)
To analyse the relation between clinical variables and the interindividual differences in the immune response in early, mid, and long periods of immunization in the whole sample and by sexBaseline, 7 days, 15 days, 3, 6, 9 and 12 months after the beginning of the studyTo study the differences between clinical spectrums and immune response in early period we will use ANOVAs or Kruskal-Wallis tests, after checking normality assumption using a Shapiro-test . Similarly, to look for differences in antibody levels between sex, either a t-test or a Mann-Whitney test will be performed.
Kinetics of SARS-CoV-2. IgG NucleocapsideBaseline, 7 days, 15 days, 3, 6, 9 and 12 months after the beginning of the studyIgG (nucleocapside) ELISA kits (Inmunodiagnostic Limited ©). Positivity thresholds were provided by the assay manufacturers and were considered positive with an index value greater than 1.1, indeterminate from 0.9 to 1.1 and negative if \<0.9 index units
Kinetics of SARS-CoV-2. IgG SpikeBaseline, 7 days, 15 days, 3, 6, 9 and 12 months after the beginning of the studyIgG (spike). ELISA kits DECOV1901 (Demeditec Diagnostics GmbH©). Positivity thresholds were provided by the assay manufacturers and were considered positive with an index value greater than 40, indeterminate from 32 to 40 and negative if \<32 Ul/ml

Countries

Spain

Contacts

Primary ContactConcepción Violán Fors, MD, PhD
cviolanf.mn.ics@gencat.cat+34 629566936
Backup ContactPere Monteagudo Zaragoza
ugp@idiapjgol.info+3493 482 42 53

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 11, 2026