Lung Microbiota Analysis in Critically Ill Patients Admitted to the Intensive Care Unit.

NCT ID: NCT04271345

Last Updated: 2022-03-25

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

UNKNOWN

Total Enrollment

150 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-11-15

Study Completion Date

2023-04-30

Brief Summary

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Our study aims to evaluate the relationship between the heterogeneity of pulmonary microbiota and clinical and outcome variables among critically ill patients admitted to the intensive care unit (ICU). In patients undergoing invasive mechanical ventilation, an aliquot of bronchoalveolar lavage (BAL) fluid will be used in the microbiology laboratory for the analysis of respiratory microbiota through next-generation sequencing technologies and validate computational techniques.

Detailed Description

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Traditionally, microbiological investigations and clinical trials have contributed to the definition of lower airways as a physiologically sterile district, whose microbiological balance is altered when a respiratory infectious process occur. Actually, the introduction of molecular study methods aiming at the identification of pathogens through genomic sequencing questioned the pardigm of "one bug-one disease", according to which we usually tend to consider a bronchial or pulmonary infectious event as due to the pathogenic role of a single exogenous microorganism. In such a contest, there are truly few data dealing with the characterization of respiratory microbiota in human BAL as well as with the major determinants of this phenomenon and the possible impact on clinical and microbiological outcomes. Our study, although it's a pilot one, aims to evaluate these aspects in a larger cohort of critically ill patients, observing the relationship between the heterogeneity of pulmonary microbiota and clinical and outcome variables. In patients undergoing invasive mechanical ventilation, an aliquot of BAL fluid will be used in the microbiology laboratory for the analysis of respiratory microbiota through next-generation sequencing technologies and validate computational techniques. For each enrolled patient, we will register demographic, clinical and laboratory variables. The benefits deriving from this study lay in the possibility of improving the understanding of characteristics of critical patient's pulmonary microbioma and its clinical impact. Such an information meets the increasingly topical need to customize medical interventions, especially in the context of critically ill patients.

Conditions

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Lung Microbiota

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* execution of bronchoalveolar lavage sampling, either for clinical indications or in the context of surveillance programs
* acquisition of an informed consent

Exclusion Criteria

* presence of significant coagulation abnormalities and/or severe respiratory failure
* clearly bloody BAL sample
* small quantity of BAL sample (\<5 ml)
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Fondazione Policlinico Universitario Agostino Gemelli IRCCS

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Gennaro De Pascale, MD

Role: PRINCIPAL_INVESTIGATOR

Fondazione Policlinico A. Gemelli IRCCS

Locations

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Fondazione Policlinico A. Gemelli IRCCS

Rome, , Italy

Site Status RECRUITING

Countries

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Italy

Central Contacts

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Gennaro De Pascale, MD

Role: CONTACT

+39 06 30154386

Simone Carelli, MD

Role: CONTACT

Facility Contacts

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Gennaro De Pascale, MD

Role: primary

Simone Carelli, MD

Role: backup

References

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De Pascale G, Posteraro B, De Maio F, Pafundi PC, Tanzarella ES, Cutuli SL, Lombardi G, Grieco DL, Franchini E, Santarelli G, Infante A, Sanguinetti M, Antonelli M. Lung microbiota composition, respiratory mechanics, and outcomes in COVID-19-related ARDS. Microbiol Spectr. 2024 Apr 2;12(4):e0357423. doi: 10.1128/spectrum.03574-23. Epub 2024 Mar 11.

Reference Type DERIVED
PMID: 38466118 (View on PubMed)

Other Identifiers

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1847

Identifier Type: -

Identifier Source: org_study_id

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