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Not yet recruitingNCT06977165SIPRESUpdated May 18, 2025

Investigating the Impact of Sepsis Phenotypes on Antibiotic Treatment in Patients With Severe Pneumonia and Sepsis

An observational study in Respiration Disorders, Respiratory Failure and Sepsis, sponsored by University of Manchester. Not yet recruiting at 1 site in United Kingdom. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2025-05-18.

Sponsored by University of Manchester · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
119
Ages
18 Years and older
Sex
All
01

Study summary

Aim of the research: To find out why antibiotics work differently in certain patients with severe pneumonia and sepsis.

Background: Individuals can become very unwell from pneumonia, sometimes requiring admission to hospital or even the intensive care unit (ICU). In some cases, pneumonia can lead to a condition called sepsis, which can be deadly if not treated quickly. In the UK, approximately 30,000 patients die from pneumonia every year. Clinicians use antibiotic injections to treat life-threatening infections such as severe pneumonia. After being injected into the bloodstream, antibiotics quickly spread throughout the body, attacking the infection. Antibiotics are eventually broken down and removed from the body by the kidneys and other organs. However, antibiotics fail to achieve the same consistent result for every patient. This may be to do with the way the antibiotics travel through and are removed from the body, leading to different antibiotic levels in the blood at any one time. Low antibiotic levels can result in worse outcomes and antibiotic resistance. Patients can be grouped based on how their immune system reacts to infections. The SIPRES Study aims to explore if these previously described groups explain the difference in antibiotic levels in patients with severe pneumonia and sepsis.

Procedures: We will study how adult patients with severe pneumonia respond when treated with the most commonly used antibiotic in the ICU called piperacillin/tazobactam. Alongside information on how quickly patients get better and how long they need to stay in hospital or in ICU, we will collect blood samples to measure antibiotic levels and assess each patient's immune system at two time points during their treatment. This will allow us to measure antibiotic levels in blood at different times and group patients based on their immune system reaction to infection. We will describe the range of antibiotic levels seen in the different immune system reaction groups using mathematical and statistical models.

Patient involvement: We are working closely with people who have experienced severe pneumonia and will work with two patient partners and a patient advisory group to help shape this research. Patient contributors have already shaped the development of the funding application and identified important study outcomes. Patients we have spoken to are concerned over the appropriate dosing of antibiotics and appreciate the need for improved and precise approaches to treating severe infections. Moving forward, patient partners will help finalise the protocol, develop patient and public facing materials, provide their perspective on the study results and shape plans to share the outcomes of the study more broadly.

Potential impact: The SIPRES Study will help identify a group of patients at risk of low antibiotic levels in blood, who are less likely to improve with treatment and more likely to develop antibiotic resistance. Mathematical models that can help clinicians personalise antibiotic dosing for each critically ill patient with severe pneumonia will be developed. Findings have the potential to limit the development of antibiotic resistance and help patients survive and get better faster so that they can return to their normal daily lives. Individualised dosing for patients with low antibiotic levels, as opposed to 'one size fits all' prescribing, also has the potential to more efficiently allocate scarce resources to those who will benefit the most.

02

Conditions studied

  • Respiration Disorders
  • Respiratory Failure
  • Sepsis
  • Infection in ICU
  • Pneumonia

Keywords

  • sepsis
  • pneumonia
  • therapeutic drug monitoring
  • beta-lactam antibiotics
  • piperacillin-tazobactam
03

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Hospitalised critically ill patients admitted to the intensive care unit

Inclusion criteria

  • age ≥ 18 years;
  • admitted to intensive care and receiving at least one-organ supportive care;
  • treated for presumed or confirmed lower respiratory infection;
  • receiving or about to receive piperacillin/tazobactam as part of standard clinical care;
  • valid informed consent or enrolment through deferred consent pathway appropriate.

Exclusion criteria

Exclusion Criteria:

  • unlikely to survive 24 hours as judged by the treating physician;
  • study antimicrobial started more than 24 hours prior.
04

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
119 participants (estimated)
Patient registry
No
Biospecimen retention
Samples without dna

Interventions

  • Diagnostic testAntibiotic quantification

    Piperacillin/tazobactam quantification using liquid chromatography-tandem mass spectrometry

05

What researchers measure

Primary outcomes

  1. Serum concentrations of antimicrobial

    The primary outcome of serum concentrations of antimicrobials was chosen to assess the profile of medication processing in the body between the groups of interest. Multiple blood samples are taken over the space of one dosing interval (most often 6-8 hours for piperacillin/tazobactam), which allows the calculation of an area under the concentration curve over time. For participants who remain in ICU at Visit 2 (Day 3-5) and are still receiving antimicrobials, a second sampling episode will occur. Those discharged from ICU prior will undergo only a single sampling period.

    Time frame: Day 0 ± Day 3-5

Secondary outcomes

  1. Baseline Sequential Organ Failure Assessment score (SOFA)

    SOFA score at baseline

    Time frame: Day 0

  2. Change in SOFA score

    Difference between aggregate SOFA scores

    Time frame: From Day 0 to Day 3-5

  3. All-cause mortality

    Death censored at Day 28

    Time frame: At Day 28

  4. Days alive and out of hospital

    Defined as the number of days not in hospital at Day 28

    Time frame: At Day 28

  5. Hospital and ICU length of stay

    Number of days in hospital/ICU

    Time frame: At Day 28

  6. Clinical cure

    Defined as the completion of antibiotic treatment course (on or prior to Day 28) without recommencement of antibiotic therapy within 48 hours of cessation

    Time frame: At Day 28

  7. Microbiological cure

    Defined as at least two negative cultures following proven bacterial infection and no new positive cultures at Day 28

    Time frame: At Day 28

  8. Duration of primary course of antimicrobial treatment

    Number of days of treatment with antimicrobial from baseline

    Time frame: At Day 28

  9. Isolated pathogens

    Proportion of participants with isolated pathogens

    Time frame: At Day 28

  10. Emergence of resistant organisms

    Any organism resistant to antimicrobials identified through culture from any source (blood, urine, sputum, stool)

    Time frame: At Day 28

  11. Therapeutic target attainment

    100% fraction of the time (fT) above the minimal inhibitory concentration \[MIC\] 100% fraction of the time (fT) above four times the minimal inhibitory concentration \[4xMIC\] Assessed for Pseudomonas aeruginosa according to latest EUCAST ECOFF breakpoints at time of analysis

    Time frame: At Day 0 ± Day 3-5

  12. Immune signature

    Phenotype category according to Davenport and Sinha classification

    Time frame: At Day 0 ± Day 3-5

  13. Safety and toxicity outcomes

    Any serious adverse events reported during the study period

    Time frame: At Day 28

06

Study locations

1 site
  • The University of Manchester
    Manchester, Lancashire M13 9PL, United Kingdom
07

References and documents

Individual participant data

Plan to share: Yes — The following anonymised data will be shared on an online accessible repository in line with Findability, Accessibility, Interoperability, and Reuse (FAIR) principles: * Baseline clinical characteristics without identifiable data * Outcome data * Pharmacokinetic data * Transcriptomic data * Immune cytokine data

Supporting information: Study protocol, Sap, Icf, Csr, Analytic code

No publications or documents are linked to this record.

08

Registry details

Key details

Study ID
NCT06977165
Lead sponsor
University of Manchester
Responsible party
Sponsor
First posted
May 18, 2025
Start date
Sep 1, 2025 (estimated)
Primary completion
Jun 30, 2027 (estimated)
Completion
Sep 30, 2027 (estimated)
Last update
May 18, 2025

Study contacts

Jan Hansel, MD MRes
Contact
jan.hansel@manchester.ac.uk
+44 161 275 1319

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
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