ClinicalTrials.Veeva

Menu

Optimizing Subcutaneous FEntanyl titRation: RApid Achievement of Adequate Exposure When Treating Cancer-Related paIn. (FERRARI)

Erasmus University logo

Erasmus University

Status and phase

Enrolling
Phase 4

Conditions

Cancer Pain

Treatments

Drug: Fentanyl

Study type

Interventional

Funder types

Other

Identifiers

NCT06498037
2023-507355-30

Details and patient eligibility

About

The primary objective is to evaluate the effect of loading boluses when dose incresaing treatment with SC fentanyl in patients with cancer. The primary endpoint of this study is to prove the non-inferiority of fentanyl plasma concentrations 12 hours after dose augmentation compared to 48 hours after dose augmentation within each patient.

Patients will be treated with additional loading boluses and plasma-PK samples will be obtained.

Enrollment

45 estimated patients

Sex

All

Ages

18 to 120 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Age ≥18 years;
  • Able to understand the written information and able to give informed consent.
  • Current or planned treatment with SC fentanyl for cancer-related pain

Exclusion criteria

  • Pregnancy or/ and breastfeeding
  • Other ways of using fentanyl (sublingual, nasal spray and oromucosal)
  • Liver function CPS B or C
  • The use of strong CYP3A4 inhibitors of inducers [9]
  • Presence of somnolence, respiratory depression or CTCAE grade 2 adverse events.

Trial design

Primary purpose

Supportive Care

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

45 participants in 1 patient group

Intervention arm
Experimental group
Description:
Patients are given loading doses when dose-increasing fentanyl. The concentrations at 12 and 48 hours after dose increase will be compared
Treatment:
Drug: Fentanyl

Trial contacts and locations

1

Loading...

Central trial contact

Bram C Agema

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2026 Veeva Systems