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Pseudomonas Aeruginosa Infections Among COVID-19 Patients in Intensive Care Units at CHRU of Nancy (Pyo-COVID-3)

Pseudomonas Aeruginosa Infections Among COVID-19 Patients in Intensive Care Units at Nancy University Hospital During the First Three Epidemic Waves: a Retrospective Study (Pyo-COVID-3)

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06141837
Acronym
Pyo-COVID-3
Enrollment
51
Registered
2023-11-21
Start date
2023-12-01
Completion date
2024-04-20
Last updated
2024-05-07

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

Conditions

COVID-19, Pseudomonas Aeruginosa

Keywords

ICU infections, antimicrobial resistance

Brief summary

P. aeruginosa is an opportunistic bacterium known to be responsible for numerous healthcare-associated infections, particularly in intensive care units (ICU). The frequency of these infections seems to have increased during the first waves of the COVID-19 pandemic. Identifying cases of co-infection and secondary infections with P. aeruginosa in patients with COVID-19 would provide a better understanding of the epidemiological evolution and characteristics of infected patients. Treatment of P. aeruginosa infections requires the use of antibiotics. Antibiotic resistance is a growing problem, with an increase in resistance among P. aeruginosa strains. The misuse of antibiotics to treat patients can accentuate the phenomenon of antibiotic resistance, and failure to take account of resistance revealed by antibiograms can compromise patient recovery. Analysis of bacteriological results and patient medical records would enable a posteriori evaluation of the proper use of antibiotics (choice and adaptation of molecules, doses and duration of prescriptions), and identify any areas for improvement. The main objective is to describe the evolution of P. aeruginosa infections in ICU patients with COVID-19 during the first 3 waves of COVID-19 (01/03/2020 to 31/05/2021). Secondary objectives are to describe the typology of P. aeruginosa strains identified among included patients (sampling sites and resistance profiles), to assess antibiotic prescriptions for these patients and to describe the relapse rate of included patients with a first P. aeruginosa infection.

Interventions

OTHERObservation

No intervention: observational study

Sponsors

Central Hospital, Nancy, France
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

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

Inclusion criteria

* Adult patients hospitalized for at least 48 h in an intensive care unit (ICU) at CHRU-Nancy for acute respiratory distress syndrome due to COVID-19. * Patients hospitalized from 1st March 2020 to 31st May 2021. * Patient developed an hospital-acquired infection caused by P. aeruginosa during their ICU stay.

Exclusion criteria

* Patients \<18 years old. * Patient without COVID-19 at the ICU admission. * Patients with P. aeruginosa isolated \<48 hours following ICU admission. * Patients who did not want to be included in the study.

Design outcomes

Primary

MeasureTime frameDescription
P. aeruginosa occurenceFrom 01 March 2020 to 31 May 2021.The occurrence of Pseudomonas aeruginosa infection during the ICU stay of a COVID-19 patient.

Secondary

MeasureTime frameDescription
P. aeruginosa sampleFrom 01 March 2020 to 31 May 2021.Distribution of different types of samples (respiratory, blood, urine, etc.) positive for P. aeruginosa.
P. aeruginosa resistanceFrom 01 March 2020 to 31 May 2021.The proportion of resistance to the various antibiotics tested on the P. aeruginosa strains identified.
P. aeruginosa antibiotic treatmentFrom 01 March 2020 to 31 May 2021.Compliance of antibiotic prescriptions with reference recommendations is assessed by comparing data from patients' medical records.
P. aeruginosa recurrenceFrom 01 March 2020 to 31 May 2021.Occurrence of a new P. aeruginosa infection.

Outcome results

None listed

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