Pharmacokinetics of Ciprofloxacin in Critically Ill Patients

NCT ID: NCT03016845

Last Updated: 2020-10-19

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

40 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-01-01

Study Completion Date

2018-04-01

Brief Summary

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Optimal understanding of ciprofloxacin pharmacokinetics in critically ill patients is lacking resulting in large variation of achieved exposure and possible inadequate therapy. The investigators hypothesize that drug dosing based on CKD-EPIcr-cys provides a useful method to individualize and optimize therapy for ciprofloxacin and eventually improve outcome.

In a multi-centre, observational, open-label study the investigators aim to define : the model for estimation of renal function that most accurately predicts ciprofloxacin clearance in critically ill patients.

Detailed Description

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Correct estimation of glomerular filtration rate (GFR) is necessary in critically ill patients in order to asses renal function. GFR is subsequently used to derive and appropriate drug dosing of renally excreted drugs and warrant adequate dose adaptations.

It is known that estimation of GFR based on creatinine clearance is not precise, especially in populations with altered muscle mass or instable renal function, such as the Intensive Care Unit (ICU) population.

The use of combined filtration markers together, cystatin C and creatinine, can improve precision in estimating GFR (eGFR). Studies confirmed that eGFR based on both creatinine and cystatin C is more precise than eGFR creatinine or eGFR cystatin C. The equation based on both creatinine and cystatin C, the Chronic Kidney Disease Epidemiology Collaboration creatinine-cystatin C (CKD-EPIcr-cys), may therefore improve eGFR and thus drug dosing in ICU patients, a population that does not reach PK/PD targets frequently.

So far little is known about drug dosing based on CKD-EPIcr-cys. Currently optimal understanding of ciprofloxacin pharmacokinetics in critically ill patients is lacking, resulting in large variation of achieved exposure and possible inadequate therapy. The investigators hypothesize that drug dosing based on CKD-EPIcr-cys provides a useful method to individualize and optimize therapy for ciprofloxacin and eventually improve outcome.

In a multi-centre, observational, open-label study the investigators aim to define the model for estimation of renal function that most accurately predicts ciprofloxacin clearance in critically ill patients.

Conditions

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Bacterial Infections

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

1. Patient is admitted to an ICU
2. Subject is at least 18 years on the day of the first dosing
3. Is managed with an arterial line or central venous catheter
4. Is managed with an urinary catheter
5. Is already treated with ciprofloxacin as part of routine clinical care

Exclusion Criteria

1. Has previously participated in this study
2. Is on renal replacement therapy (RRT)
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Canisius-Wilhelmina Hospital

OTHER

Sponsor Role collaborator

UMC Utrecht

OTHER

Sponsor Role collaborator

Gelderse Vallei Hospital

OTHER

Sponsor Role collaborator

Tergooi Hospital

OTHER

Sponsor Role collaborator

Radboud University Medical Center

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Roger Bruggemann

Role: PRINCIPAL_INVESTIGATOR

Radboud University Medical Center

Locations

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Ziekenhuis Gelderse Vallei

Ede, , Netherlands

Site Status

CWZ

Nijmegen, , Netherlands

Site Status

Radboudumc

Nijmegen, , Netherlands

Site Status

UMC Utrecht

Utrecht, , Netherlands

Site Status

Countries

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Netherlands

References

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Gieling EM, Wallenburg E, Frenzel T, de Lange DW, Schouten JA, Ten Oever J, Kolwijck E, Burger DM, Pickkers P, Ter Heine R, Bruggemann RJM. Higher Dosage of Ciprofloxacin Necessary in Critically Ill Patients: A New Dosing Algorithm Based on Renal Function and Pathogen Susceptibility. Clin Pharmacol Ther. 2020 Oct;108(4):770-774. doi: 10.1002/cpt.1855. Epub 2020 May 15.

Reference Type RESULT
PMID: 32298468 (View on PubMed)

Related Links

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Other Identifiers

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UMCN-AFK 16.07

Identifier Type: -

Identifier Source: org_study_id

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