Pneumocystis Jirovecii Genotyping
Real-time Pneumocystis Jirovecii Genotyping to Support Clinical Decision Making in the Management of Nosocomial Outbreaks
1 other identifier
observational
70
0 countries
N/A
Brief Summary
We share our lives with microorganisms, and these generally do not pose a problem if an individual is healthy with a normal immune system. However, if the immune system was not functioning properly (e.g., cancer patients), they are at risk of infection. One microorganism, a fungus called Pneumocystis jirovecii (PCP), can cause severe chest infections in patients without properly functioning immune systems, leading to hospitalisation and death if untreated. If patients remain without a functioning immune system, they have a greater chance of repeated infection. PCP spreads through air from person-to-person and can survive on environmental surfaces. Patients can be infected after contact with these surfaces. Hospitals have a responsibility to ensure PCP infected patients do not pass it on to other unwell patients. In cases where PCP has infected multiple patients, knowing if the same fungi has been passed along (or transmitted) from patient-to-patient is vital in understanding if there is an outbreak in the hospital. Understanding how similar (the relatedness) the PCP strain is allows healthcare workers to detect any transmission between patients or the environment. To understand how related each patient's PCP infection is we will utilise a laboratory test called multilocus sequence typing (MLST). This test looks at sections of the fungi's genetic code using deoxyribonucleic acid (DNA) sequencing to create a code (genotype) which tells us how related one PCP is to others tested, allowing comparison between patients and ultimately spotting transmission. Our aim is to develop this sequencing test using PCP positive patient samples and ensure it performs to high-quality standards. Surplus material from seventy known PCP positive patient samples will be tested. Each sample will be analysed to see if the DNA genotype matches or is similar to other patient samples we have tested, helping to understand how PCP may spread between patients.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Sep 2025
Shorter than P25 for all trials
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 29, 2024
CompletedFirst Posted
Study publicly available on registry
June 4, 2024
CompletedStudy Start
First participant enrolled
September 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
January 1, 2026
CompletedJune 27, 2025
June 1, 2025
4 months
May 29, 2024
June 24, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Objective 1: Development of a MLST PCP genotyping assay within NUH.
The previously published MLST scheme by Pasic et al (2020) using alleles β-TUB, CYB, mt26S and SOD will be assessed, with each allele optimised and verified for implementation for Objective 2.
18 months
Secondary Outcomes (1)
Objective 2: Analyse PCP positive patient samples and identify the PCP genotype, assessing links between patient metadata and genotype
18 months
Eligibility Criteria
Adults PCP positive patients over the age of 18 years.
You may qualify if:
- Total nucleic acid extracts from adult patients (over 18 years old) with a positive PCP diagnosis (\& detected at \> 50 copies/10ul) from routine respiratory panel testing.
You may not qualify if:
- Total nucleic acid extracts from patients with a negative PCP diagnosis from routine respiratory panel testing
- Total nucleic acid extracts from non-adult patients (under 18 years old).
- PCP positive total nucleic extract samples with \< 50 copies/10ul.
- Patients included on the UK National Opt-Out register
Contact the study team to confirm eligibility.
Sponsors & Collaborators
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 29, 2024
First Posted
June 4, 2024
Study Start
September 1, 2025
Primary Completion
January 1, 2026
Study Completion
January 1, 2026
Last Updated
June 27, 2025
Record last verified: 2025-06