- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06095076
Cutaneous Microbiota Evolution in ICU Patients With CVC (ICMc) (ICMc)
Prospective Descriptive Study of the Cutaneous Microbiota of ICU Patients With Central Venous Catheter (ICMc)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Central venous catheters (CVCs) are necessary in up to 60% of ICU patients, representing a risk of catheter-related infections with high morbidity and mortality. Catheter colonization originating mostly from the skin is constant, but infection is not. Dysbiosis is known to be associated with pathological states and infection, for example post-antibiotic C. difficile diarrheas, or atopic dermatitis, in which flares are associated with dysbiosis and S. aureus predominance. Cutanous dysbiosis could be the missing link between catheter colonization and infection. Our hypothesis is that under the influence of multiple ICU factors (stress, antibiotic administration, local dysinfection procedures), cutaneous dybiosis appears in ICU patients with a central venous catheter.
All adult ICU patients with an indication for CVC placement will be included over a 6 months period. Skin swabbing will be performed on CVC insertion site before CVC placement (baseline), and then every 3 days (or when dressing is changed) while CVC is in place, then at ICU discharge. Bacterial metagenomics using bacterial DNA extraction, 16S PCR amplification and Nanopore sequencing will allow for description of cutaneous microbiota and diversity evaluation through Shannon index. Evolution of alpha-diversity will be evaluated through time-series data analysis: comparison of Shannon index at various time points with baseline Shanonn index (before CVC placement). Standard microbiologic culture of skin swabbing will be performed. General patient characteristics and informations relative to CVC infection and treatment will be collected.
This study will have no impact on patient management.
Category 3 Non-Interventional Human Person Research (RIPH 3)
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Ariane ROUJANSKY
- Phone Number: +594594395354
- Email: ariane.roujansky@ch-cayenne.fr
Study Contact Backup
- Name: Hatem KALLEL
- Phone Number: +594594395354
- Email: hatem.kallel@ch-cayenne.fr
Study Locations
-
-
Guyane Française
-
Cayenne, Guyane Française, French Guiana, 97306
- Recruiting
- Centre Hospitalier de Cayenne
-
Contact:
- Ariane ROUJANSKY, Dr
- Phone Number: 53 54 +594 594 39 53 54
- Email: ariane.roujansky@ch-cayenne.fr
-
Contact:
- Hatem KALLEL, PhD
- Email: hatem.kallel@ch-cayenne.fr
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Adult hospitalized in ICU at the Cayenne Hospital Center in whom the installation of a CVC is indicated
Exclusion Criteria:
- Patient under 18 years of age
- Patient or trusted person or family or relative objecting to participation in the study (refusal)
- Patient under judicial safeguard or under any other protective regime (guardianship or curatorship)
- Patient with cutaneous lesions (infection, burn) near the cutaneous insertion site of the CVC
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Evolution of alpha-diversity
Time Frame: Baseline
|
Comparison of Shannon index at various time points with baseline Shannon index (before Central Venous Catheter placement through leaving intensive care service).
The higher the Shannon index, the greater the diversity.
|
Baseline
|
|
Evolution of alpha-diversity
Time Frame: Day 3
|
Comparison of Shannon index at various time points with baseline Shannon index (before Central Venous Catheter placement through leaving intensive care service).
The higher the Shannon index, the greater the diversity.
|
Day 3
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Skin swabs Metagenomics
Time Frame: Baseline
|
Metagenomics: Alpha and beta-diversity of skin swabs
|
Baseline
|
|
Skin colonization
Time Frame: Baseline
|
Skin colonization: positive standard culture of skin swabs
|
Baseline
|
|
Catheter-related colonization
Time Frame: Baseline
|
Catheter-related colonization: standard central line culture positivity
|
Baseline
|
|
Central Venous Catheter's Metagenomics
Time Frame: Baseline
|
Metagenomics: alpha and beta-diversity of Central Venous Catheter at removal
|
Baseline
|
|
Catheter related Infection
Time Frame: Baseline
|
Clinical signs and blood culture and/or positive catheter culture
|
Baseline
|
|
Skin swabs Metagenomics
Time Frame: Day 3
|
Comparison of Shannon index at various time points with baseline Shannon index (before Central Venous Catheter placement through leaving intensive care service).
The higher the Shannon index, the greater the diversity.
|
Day 3
|
|
Skin colonization
Time Frame: Day 3
|
Skin colonization: positive standard culture of skin swabs
|
Day 3
|
|
Catheter-related colonization
Time Frame: Day 3
|
Catheter-related colonization: standard central line culture positivity
|
Day 3
|
|
Central Venous Catheter's Metagenomics
Time Frame: Day 3
|
Metagenomics: alpha and beta-diversity of Central Venous Catheter at removal
|
Day 3
|
|
Catheter related Infection
Time Frame: Day 3
|
Clinical signs and blood culture and/or positive catheter culture
|
Day 3
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Ariane ROUJANSKY, Centre Hospitalier de Cayenne
Publications and helpful links
General Publications
- Aagaard K, Petrosino J, Keitel W, Watson M, Katancik J, Garcia N, Patel S, Cutting M, Madden T, Hamilton H, Harris E, Gevers D, Simone G, McInnes P, Versalovic J. The Human Microbiome Project strategy for comprehensive sampling of the human microbiome and why it matters. FASEB J. 2013 Mar;27(3):1012-22. doi: 10.1096/fj.12-220806. Epub 2012 Nov 19.
- Chien AL, Tsai J, Leung S, Mongodin EF, Nelson AM, Kang S, Garza LA. Association of Systemic Antibiotic Treatment of Acne With Skin Microbiota Characteristics. JAMA Dermatol. 2019 Apr 1;155(4):425-434. doi: 10.1001/jamadermatol.2018.5221.
- Safdar N, Maki DG. The pathogenesis of catheter-related bloodstream infection with noncuffed short-term central venous catheters. Intensive Care Med. 2004 Jan;30(1):62-7. doi: 10.1007/s00134-003-2045-z. Epub 2003 Nov 26.
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- Sender R, Fuchs S, Milo R. Revised Estimates for the Number of Human and Bacteria Cells in the Body. PLoS Biol. 2016 Aug 19;14(8):e1002533. doi: 10.1371/journal.pbio.1002533. eCollection 2016 Aug.
- Meylan P, Lang C, Mermoud S, Johannsen A, Norrenberg S, Hohl D, Vial Y, Prod'hom G, Greub G, Kypriotou M, Christen-Zaech S. Skin Colonization by Staphylococcus aureus Precedes the Clinical Diagnosis of Atopic Dermatitis in Infancy. J Invest Dermatol. 2017 Dec;137(12):2497-2504. doi: 10.1016/j.jid.2017.07.834. Epub 2017 Aug 24.
- Raad I, Costerton W, Sabharwal U, Sacilowski M, Anaissie E, Bodey GP. Ultrastructural analysis of indwelling vascular catheters: a quantitative relationship between luminal colonization and duration of placement. J Infect Dis. 1993 Aug;168(2):400-7. doi: 10.1093/infdis/168.2.400.
- Kong HH, Oh J, Deming C, Conlan S, Grice EA, Beatson MA, Nomicos E, Polley EC, Komarow HD; NISC Comparative Sequence Program; Murray PR, Turner ML, Segre JA. Temporal shifts in the skin microbiome associated with disease flares and treatment in children with atopic dermatitis. Genome Res. 2012 May;22(5):850-9. doi: 10.1101/gr.131029.111. Epub 2012 Feb 6.
- Chen HS, Wang FD, Lin M, Lin YC, Huang LJ, Liu CY. Risk factors for central venous catheter-related infections in general surgery. J Microbiol Immunol Infect. 2006 Jun;39(3):231-6.
- Timsit JF. [Updating of the 12th consensus conference of the Societe de Reanimation de langue francaise (SRLF): catheter related infections in the intensive care unit]. Ann Fr Anesth Reanim. 2005 Mar;24(3):315-22. doi: 10.1016/j.annfar.2004.12.022. French.
- Grice EA, Kong HH, Conlan S, Deming CB, Davis J, Young AC; NISC Comparative Sequencing Program; Bouffard GG, Blakesley RW, Murray PR, Green ED, Turner ML, Segre JA. Topographical and temporal diversity of the human skin microbiome. Science. 2009 May 29;324(5931):1190-2. doi: 10.1126/science.1171700.
- Tacconelli E, Smith G, Hieke K, Lafuma A, Bastide P. Epidemiology, medical outcomes and costs of catheter-related bloodstream infections in intensive care units of four European countries: literature- and registry-based estimates. J Hosp Infect. 2009 Jun;72(2):97-103. doi: 10.1016/j.jhin.2008.12.012. Epub 2009 Feb 25.
- Soufir L, Timsit JF, Mahe C, Carlet J, Regnier B, Chevret S. Attributable morbidity and mortality of catheter-related septicemia in critically ill patients: a matched, risk-adjusted, cohort study. Infect Control Hosp Epidemiol. 1999 Jun;20(6):396-401. doi: 10.1086/501639.
- Christensen GD, Simpson WA, Bisno AL, Beachey EH. Adherence of slime-producing strains of Staphylococcus epidermidis to smooth surfaces. Infect Immun. 1982 Jul;37(1):318-26. doi: 10.1128/iai.37.1.318-326.1982.
- Darouiche RO. Device-associated infections: a macroproblem that starts with microadherence. Clin Infect Dis. 2001 Nov 1;33(9):1567-72. doi: 10.1086/323130. Epub 2001 Sep 26.
- Byrd AL, Belkaid Y, Segre JA. The human skin microbiome. Nat Rev Microbiol. 2018 Mar;16(3):143-155. doi: 10.1038/nrmicro.2017.157. Epub 2018 Jan 15.
- Coates M, Lee MJ, Norton D, MacLeod AS. The Skin and Intestinal Microbiota and Their Specific Innate Immune Systems. Front Immunol. 2019 Dec 17;10:2950. doi: 10.3389/fimmu.2019.02950. eCollection 2019.
- Nakatsuji T, Chen TH, Narala S, Chun KA, Two AM, Yun T, Shafiq F, Kotol PF, Bouslimani A, Melnik AV, Latif H, Kim JN, Lockhart A, Artis K, David G, Taylor P, Streib J, Dorrestein PC, Grier A, Gill SR, Zengler K, Hata TR, Leung DY, Gallo RL. Antimicrobials from human skin commensal bacteria protect against Staphylococcus aureus and are deficient in atopic dermatitis. Sci Transl Med. 2017 Feb 22;9(378):eaah4680. doi: 10.1126/scitranslmed.aah4680.
- Chen CH, Tu CC, Kuo HY, Zeng RF, Yu CS, Lu HH, Liou ML. Dynamic change of surface microbiota with different environmental cleaning methods between two wards in a hospital. Appl Microbiol Biotechnol. 2017 Jan;101(2):771-781. doi: 10.1007/s00253-016-7846-4. Epub 2016 Oct 22.
- Seekatz AM, Young VB. Clostridium difficile and the microbiota. J Clin Invest. 2014 Oct;124(10):4182-9. doi: 10.1172/JCI72336. Epub 2014 Jul 18.
- Sommer F, Anderson JM, Bharti R, Raes J, Rosenstiel P. The resilience of the intestinal microbiota influences health and disease. Nat Rev Microbiol. 2017 Oct;15(10):630-638. doi: 10.1038/nrmicro.2017.58. Epub 2017 Jun 19.
- Hooks KB, O'Malley MA. Dysbiosis and Its Discontents. mBio. 2017 Oct 10;8(5):e01492-17. doi: 10.1128/mBio.01492-17.
- McBride ME, Duncan WC, Knox JM. The environment and the microbial ecology of human skin. Appl Environ Microbiol. 1977 Mar;33(3):603-8. doi: 10.1128/aem.33.3.603-608.1977.
- Cusco A, Catozzi C, Vines J, Sanchez A, Francino O. Microbiota profiling with long amplicons using Nanopore sequencing: full-length 16S rRNA gene and the 16S-ITS-23S of the rrn operon. F1000Res. 2018 Nov 6;7:1755. doi: 10.12688/f1000research.16817.2. eCollection 2018.
- Haegeman B, Hamelin J, Moriarty J, Neal P, Dushoff J, Weitz JS. Robust estimation of microbial diversity in theory and in practice. ISME J. 2013 Jun;7(6):1092-101. doi: 10.1038/ismej.2013.10. Epub 2013 Feb 14.
- Kim BR, Shin J, Guevarra R, Lee JH, Kim DW, Seol KH, Lee JH, Kim HB, Isaacson R. Deciphering Diversity Indices for a Better Understanding of Microbial Communities. J Microbiol Biotechnol. 2017 Dec 28;27(12):2089-2093. doi: 10.4014/jmb.1709.09027.
- Rozas M, Brillet F, Callewaert C, Paetzold B. MinION Nanopore Sequencing of Skin Microbiome 16S and 16S-23S rRNA Gene Amplicons. Front Cell Infect Microbiol. 2022 Jan 5;11:806476. doi: 10.3389/fcimb.2021.806476. eCollection 2021.
- Matsuo Y, Komiya S, Yasumizu Y, Yasuoka Y, Mizushima K, Takagi T, Kryukov K, Fukuda A, Morimoto Y, Naito Y, Okada H, Bono H, Nakagawa S, Hirota K. Full-length 16S rRNA gene amplicon analysis of human gut microbiota using MinION nanopore sequencing confers species-level resolution. BMC Microbiol. 2021 Jan 26;21(1):35. doi: 10.1186/s12866-021-02094-5.
- NCBI Resource Coordinators. Database resources of the National Center for Biotechnology Information. Nucleic Acids Res. 2016 Jan 4;44(D1):D7-19. doi: 10.1093/nar/gkv1290. Epub 2015 Nov 28.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2023_006
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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