NCT03720093

Brief Summary

This prospective, multicentric study investigates the modifications of pulmonary microbiome that occur in patients who need mechanical ventilation for non-pulmonary conditions. Genomic analysis will be performed by 16S RNA amplification on biological samples (bronchial aspirate) collected from patients.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
65

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Oct 2017

Typical duration for all trials

Geographic Reach
1 country

3 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

October 8, 2017

Completed
1 year until next milestone

First Submitted

Initial submission to the registry

October 9, 2018

Completed
16 days until next milestone

First Posted

Study publicly available on registry

October 25, 2018

Completed
1.1 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 20, 2019

Completed
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

January 24, 2020

Completed
Last Updated

July 2, 2020

Status Verified

July 1, 2020

Enrollment Period

2.1 years

First QC Date

October 9, 2018

Last Update Submit

July 1, 2020

Conditions

Keywords

ventilationintubationpulmonary microbiome

Outcome Measures

Primary Outcomes (1)

  • Changes of pulmonary microbiome between the time of intubation and 72 hours post-intubation, through genetic analysis of bacterial 16 Svedberg (16S) ribosomal RNA in bronchial aspirate.

    Two samples of bronchial aspirate were collected (one at the time of incubation and one 72 hours post-intubation) and analyzed by Polymerase Chain Reaction (PCR) by amplifying 16 Svedberg (16S) ribosomal RNA. Primers that specifically recognize hypervariable regions of 16S sub-unit will be used. At 5' end an adaptor will be inserted to prepare the MiSeqsequencing library. The classification of microbiome taxa will be expressed as diversity measure (diversity index alpha or beta); the frequency of the most represented taxa and the confidence interval will be calculated. Differences in microbiome composition will be represented with the analysis of principal coordinates (PCoA) based on phylogenetic distance (matrix UNIFRAC).

    At the time of intubation and after 72 hours from intubation

Eligibility Criteria

Age18 Years - 80 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Intubated patients with mechanical ventilation for at least 48 hours

You may qualify if:

  • patients undergo mechanical ventilation for non-pulmonary conditions (i.e. neurological condition)
  • patients who are expected to need mechanical ventilation for \>48 hours

You may not qualify if:

  • diagnosis at the ICU admission of pneumonia
  • need of mechanical ventilation for pulmonary conditions.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (3)

ASST-Monza

Monza, MB, 20900, Italy

Location

Ospedale Niguarda

Milan, 20121, Italy

Location

Ospedale di Parma

Parma, 43126, Italy

Location

Related Publications (8)

  • McDonald D, Ackermann G, Khailova L, Baird C, Heyland D, Kozar R, Lemieux M, Derenski K, King J, Vis-Kampen C, Knight R, Wischmeyer PE. Extreme Dysbiosis of the Microbiome in Critical Illness. mSphere. 2016 Aug 31;1(4):e00199-16. doi: 10.1128/mSphere.00199-16. eCollection 2016 Jul-Aug.

    PMID: 27602409BACKGROUND
  • Zaborin A, Smith D, Garfield K, Quensen J, Shakhsheer B, Kade M, Tirrell M, Tiedje J, Gilbert JA, Zaborina O, Alverdy JC. Membership and behavior of ultra-low-diversity pathogen communities present in the gut of humans during prolonged critical illness. mBio. 2014 Sep 23;5(5):e01361-14. doi: 10.1128/mBio.01361-14.

    PMID: 25249279BACKGROUND
  • Ojima M, Motooka D, Shimizu K, Gotoh K, Shintani A, Yoshiya K, Nakamura S, Ogura H, Iida T, Shimazu T. Metagenomic Analysis Reveals Dynamic Changes of Whole Gut Microbiota in the Acute Phase of Intensive Care Unit Patients. Dig Dis Sci. 2016 Jun;61(6):1628-34. doi: 10.1007/s10620-015-4011-3. Epub 2015 Dec 29.

    PMID: 26715502BACKGROUND
  • Charlson ES, Bittinger K, Haas AR, Fitzgerald AS, Frank I, Yadav A, Bushman FD, Collman RG. Topographical continuity of bacterial populations in the healthy human respiratory tract. Am J Respir Crit Care Med. 2011 Oct 15;184(8):957-63. doi: 10.1164/rccm.201104-0655OC. Epub 2011 Jun 16.

    PMID: 21680950BACKGROUND
  • Morris A, Beck JM, Schloss PD, Campbell TB, Crothers K, Curtis JL, Flores SC, Fontenot AP, Ghedin E, Huang L, Jablonski K, Kleerup E, Lynch SV, Sodergren E, Twigg H, Young VB, Bassis CM, Venkataraman A, Schmidt TM, Weinstock GM; Lung HIV Microbiome Project. Comparison of the respiratory microbiome in healthy nonsmokers and smokers. Am J Respir Crit Care Med. 2013 May 15;187(10):1067-75. doi: 10.1164/rccm.201210-1913OC.

    PMID: 23491408BACKGROUND
  • Segal LN, Alekseyenko AV, Clemente JC, Kulkarni R, Wu B, Gao Z, Chen H, Berger KI, Goldring RM, Rom WN, Blaser MJ, Weiden MD. Enrichment of lung microbiome with supraglottic taxa is associated with increased pulmonary inflammation. Microbiome. 2013 Jul 1;1(1):19. doi: 10.1186/2049-2618-1-19.

    PMID: 24450871BACKGROUND
  • Segal LN, Rom WN, Weiden MD. Lung microbiome for clinicians. New discoveries about bugs in healthy and diseased lungs. Ann Am Thorac Soc. 2014 Jan;11(1):108-16. doi: 10.1513/AnnalsATS.201310-339FR.

    PMID: 24460444BACKGROUND
  • Berdal JE, Bjornholt J, Blomfeldt A, Smith-Erichsen N, Bukholm G. Patterns and dynamics of airway colonisation in mechanically-ventilated patients. Clin Microbiol Infect. 2007 May;13(5):476-80. doi: 10.1111/j.1469-0691.2006.01678.x.

    PMID: 17430338BACKGROUND

Biospecimen

Retention: SAMPLES WITH DNA

Bronchial aspirate

MeSH Terms

Conditions

Respiratory Aspiration

Condition Hierarchy (Ancestors)

Respiration DisordersRespiratory Tract DiseasesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Giuseppe Citerio, Professor

    University of Milano Bicocca

    STUDY DIRECTOR
  • Andrea Gori, Professor

    Fondazione Cà Granda, Policlinico Milano

    STUDY CHAIR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

October 9, 2018

First Posted

October 25, 2018

Study Start

October 8, 2017

Primary Completion

November 20, 2019

Study Completion

January 24, 2020

Last Updated

July 2, 2020

Record last verified: 2020-07

Data Sharing

IPD Sharing
Will not share

Anonymized data will be shared upon written request to the study director

Locations