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Characterization Immunology, Biochemical and Lung Microbiome, Correlated With the Ventilation Associated Pneumonia (VAP)

Characterization of Cellular Immunology, Biochemical and Lung Microbiome, Correlated With the Development of Ventilation Associated Pneumonia (VAP) in Adult Patients Admitted to the Intensive Care Unit (ICU): The Second Stage.

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04944823
Acronym
MicroNAV-II
Enrollment
50
Registered
2021-06-30
Start date
2021-07-01
Completion date
2023-04-30
Last updated
2021-06-30

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

Conditions

Covid19, SARS-CoV Infection

Keywords

pulmonary microbiome, SARS-CoV Infection, Covid19

Brief summary

SARS-CoV-2, the virus that causes COVID-19, is currently a global public health problem, declared a pandemic by the World Health Organization, which today has more than one million deaths in the world, of which , 30,000 approximately belong to Colombia, being the country number 11 with the highest number of deaths. The most common symptoms related to this disease are fever, cough, dyspnea, myalgia, headache, diarrhea and rhinorrhea. COVID-19 is characterized by immune system dysfunction and hyperinflammation causing acute respiratory distress syndrome, macrophage activation, and coagulopathy. The clinical course for SARS-CoV-2 in most cases is mild, but approximately 14% of cases can be severe. In pneumonia caused by SARS-CoV-2, the lung lining is known to alter the composition of the lung microbiome, in addition to lymphocyte damage that can promote the growth of bacteria to initiate bacterial pneumonia, and it is estimated that the prevalence of coinfection / superinfection reaches 50% among deaths from COVID-19. Coinfection between different microorganisms and SARS-CoV-2 is a serious problem in the COVID-19 pandemic, and there is still little information on this. It is for this reason that the researchs propose to develop this research project that will allow to understand the possible mechanisms associated with the development of bacterial coinfection / superinfection in patients diagnosed with COVID-19, which will allow expanding the panorama of knowledge towards a better and adequate treatment in these patients, as well as detection of biomarkers or clinical phenotypics that may be useful in the diagnosis, based on evidence. It is important to note that these results are of clinical importance since we will try to identify biomarkers or changes in the lung microbiome that allow doctors to early identify patients at risk of developing coinfection and thus initiate early treatments or preventive measures, which allow the improvement of clinical outcomes in patients. Results will be presented in a timely manner at national and international conferences and in peer-reviewed, indexed, high-impact journals.

Detailed description

This is a prospective, translational (T0-T2), multicenter, observational, cohort study of consecutive patients with a first clinical phase, where the collection of different types of samples (Bronco alveolar lavage, blood, nasopharyngeal swab, secretion orotracheal and rectal swabbing) at the start of mechanical ventilation, on day 3 and before extubation and another stage of molecular analysis in human samples collected where by different types of techniques such as: characterization of the 16S ribosomal unit, ELISA, time PCR real, concentration and cell discrimination techniques, we will characterize the microbiological, immunological and cellular changes that condition the development of coinfection. Descriptive analytical studies, techniques, and parametric and nonparametric tests will be used to explore diagnostic, microbiological, or subgroup differences, as well as clinical outcomes. Independent predictors and associated hazard ratios with 95% confidence intervals will be reported. A two-tailed p value less than 0.05 will be considered statistically significant.

Interventions

OTHERClinical follow-up for 24 months

Sampling and clinical follow-up for 24 months

Sponsors

Universidad de la Sabana
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

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

Inclusion criteria

* Patients admitted to the ICU, COVID-19 positive by RT-PCR, who require assisted mechanical ventilation. * Adult patients over 18 years of age. * Patients who agree to participate in the study and sign the informed consent form (family members or legal representative). * Patients in whom the identification of the causative agent of coinfection is attempted within the first 48 hours of hospitalization.

Exclusion criteria

* Patient on mechanical ventilation for more than 24 hours without being evaluated for study entry. * Patient who was treated with antibiotics 7 days prior to hospitalization or time of assessment for the study. * Pregnant or breastfeeding patients. * People who belong to population groups with increased vulnerability such as, for example, prison population, minors detained in orphanages or people in street situations. No research procedure, clinical or paraclinical, or taking of clinical information or biological samples will be performed before the patient or his/her legal representative agrees to participate in the study and signs the informed consent form.

Design outcomes

Primary

MeasureTime frameDescription
Identification of the pulmonary microbiome and changes in microbial diversity in patients with severe COVID.24 monthsTo observe the change that occur in the diversity of the pulmonary microbiome in patients with severe COVID, with mechanical ventilation. The pulmonary microbiome will be analyzed at 4 four times during the patient's mechanical ventilation (baseline, 72 hours, fifth day, seventh day or if he/she develops co-infection or superinfection).
Correlation between microbial diversity and host immune response with severe COVID.24 monthsTo analyze whether changes in microbial diversity have any association with the host immune response leading to increased susceptibility to co-infection or superinfection during COVID disease.

Secondary

MeasureTime frameDescription
Percentage of coinfected/overinfected patients with severe COVID and the diversity of the pulmonary microbiome.24 monthsTo observe patterns of lung microbiome diversity in patients with severe COVID that will help us predict the development of coinfection or superinfection in these patients.
Immunologic or cellular patterns in coinfection or superinfection in patients with severe COVID.24 monthsTo describe immunological or cellular patterns in patients with severe COVID that will help us predict the development of coinfection or superinfection in these patients.

Other

MeasureTime frameDescription
Type of specimen and conventional cultures for the diagnosis of coinfection or superinfection in patients with severe COVID.24 monthsTo evaluate three types of respiratory samples by conventional culture for the diagnosis of coinfection or superinfection. This will be compared with the findings of genomic sequencing to be performed to determine the pulmonary microbiome.

Countries

Colombia

Contacts

Primary ContactLuis F Reyes, MD
luis.reyes5@unisabana.edu.co+57 3175130128
Backup ContactIngrid G Bustos, BsC
ingrid.bustos2@unisabana.edu.co+57 3115421277

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026