Precision IFX: Using a Dashboard to Individualize Infliximab Dosage

May 14, 2021 updated by: Marla Dubinsky, Icahn School of Medicine at Mount Sinai

Precision IFX: Using a Pharmacokinetic Dashboard to Optimize and Individualize Infliximab Dosage for Pediatric Inflammatory Bowel Disease Patients

The introduction of infliximab (IFX) and other monoclonal antibodies (MAbs) targeting tumor necrosis factor (TNF) was a major advancement in the management of inflammatory bowel disease (IBD). These biologics were able to improve the health outcomes of many IBD patients for whom other treatments were neither satisfactory nor sufficient. Despite clear advantages and increased use of these treatments, physicians still see a loss of response in up to 50% of their IBD patients within one year of initiating these therapies. Most of these phenomena are attributed to low drug concentrations in the presence or absence of anti-drug antibodies (ADA).

The fundamental issue is that approved/on-label dosing of these drug therapies does not take into account the various factors that impact the way an individual's body responds and processes these therapies. Dashboard software systems can quickly integrate patient data and serve as a revolutionary decision-support tool for physicians. The Precision IFX dashboard prototype was specifically developed to facilitate dosing of therapeutic monoclonal antibodies by integrating patient's clinical characteristics and drug concentrations into pharmacokinetic (PK) algorithms. Using clinical observations and patient laboratories, the system provides multiple dosing regimens that could allow the patient to attain and sustain a therapeutic drug trough level.

Using the Precision IFX dashboard to analyze and forecast optimal dosing regimens with prospectively collected individual patient data, the clinician will select an appropriate dose to actively maintain therapeutic drug trough levels throughout the infliximab maintenance period. This study aims to examine the outcomes of one year of maintenance infusions in IBD patients dosed using the Precision IFX dashboard prototype and compare the results with historical controls.

Study Overview

Status

Completed

Detailed Description

Therapeutic monoclonal antibodies (MAbs) targeting the tumor necrosis alpha pathway (anti-TNFα, anti-TNF) in the treatment of immune diseases such as rheumatoid arthritis, psoriasis, and inflammatory bowel diseases (IBD) have improved short and long term clinical outcomes. Crohn's Disease (CD) and ulcerative colitis (UC), two main subtypes of IBD, are chronic diseases resulting from immune dysregulation in genetically susceptible individuals. CD and UC are conventionally treated using anti-inflammatory agents including aminosalicylate based therapies (mesalamines), corticosteroids, and antimetabolites such as purine analogs (azathioprine and 6-mercaptopurine) and methotrexate. A high percentage of patients fail to respond or are intolerant to these therapies and require treatment with anti-TNF. However, despite their therapeutic efficacy, approximately 20% of patients show no or limited response during induction therapy (primary non-responders) and in up to 50% of responders, treatment becomes ineffective during maintenance therapy despite initial response (secondary non-responders). Recent publications have underscored substantial variability in patient exposure and response when anti-TNF therapies are administered at the labeled induction and maintenance dose, supporting the need to individualize dosing to account for variability and ensure safe and sustainable efficacy. Suboptimal exposure can be attributed to under-dosing, rapid drug clearance and/or the development of anti-drug antibodies (ADA) and can result in primary or secondary loss of response (LOR). Identifying an individual's effective dose and adjusting the doses of anti-TNF over the course of treatment to maintain effective concentrations is not intuitive.

Software-guided dosing has been shown to effectively control doses for individual patients and to increase efficiency in clinics. Individualized adaptive dosing using PK models has been undertaken but was a labor-intensive process prior to using dashboard systems. Several dashboard systems already exist to improve dosing in pediatric patients. Clinical use of such systems is still limited, in part because of a lack of familiarity with dashboards, ineffective communication to practicing clinical staff on the use and benefits of such systems to facilitate decision making, and the resources required to use modeling to fully individualize treatment. However in the case of pediatric patients, particularly for those patients dosed based on body size (e.g. mg/kg or mg/m2), the drug exposure in pediatrics is often substantially lower than adult patients making these dosing metrics particularly difficult for patients with low body weight or pediatrics, as has been shown for infliximab. This suggests that pediatric patients would potentially garner the greatest benefit from individualized dosing.

Until recently, effective use of drug concentrations and biomarkers has been limited by the lack of decision support tools allowing physicians to integrate patient data and generate treatment recommendations. Implementation of adaptive Bayesian dosing in the clinic has not yet gained wide acceptance, and requires careful evaluation and testing. However Bayesian forecasting has been shown to substantially increase the number of patients whose trough phenytoin levels were within the target range and improve clinical outcomes in pediatric oncology patients. Van Lent-Evers at all found that the use of Bayesian adaptive dosing of aminoglycosides offered resulted in higher antibiotic efficacy, shorter hospitalization, and reduced incidence of nephrotoxicity. The authors also found lower treatment costs in patients who were dosed using Bayesian approaches. There have been a number of dashboard systems developed recently for improving treatment in pediatric oncology and infectious disease although these have not yet gained widespread clinical use.

From a clinician's perspective, it would be highly advantageous to be able to optimize the exposure of MAbs in patients receiving these therapies for disease control. The advent of commercially available drug and ADA concentration assays has indeed improved understanding of why patients are not responding or are losing response while in maintenance. With conventional weight based (on label) dosing, the investigators make the assumption that all patients clear anti-TNF therapies at the same rate and do not take into account inter-individual variability. A model that selects the correct induction dose based on clinical variables that alter clearance and allows clinicians to dose adjust in maintenance as the disease activity, weight, and drug concentrations fluctuate over the course of disease would not only be helpful but also economical. Consistent with the potential advantage of dashboards, a recent evaluation found individualized infliximab dosing reduced treatment costs compared to conventional dosing.

Presently for infliximab, patients are escalated from 5 mg/kg to 10 mg/kg and without necessarily considering that a patient may benefit from just increasing to 6 mg/kg to maintain therapeutic concentrations based on the dashboard predictions. Moreover it could be that a frequency change in dosing (e.g., from every 8 weeks to every 4 or 6 weeks) should be considered rather than dose escalation which carries significantly more cost than more frequent infusions. Rather than waiting for a patient to declare themselves a failure of the indicated dosing, predictive models can ensure the investigators are dosing correctly up front and being proactive and flexible with dosing regimens.

The ultimate goal of precision medicine is to utilize new information to optimize therapy for individual patients so that patients are treated with the right dose of the right drug at the right time. This approach is intended maximize benefit and minimize risk. Research has provided a wealth of new information, but health care providers are not always equipped to collect and manage this information in the patient care setting. Thus, dashboard systems may provide an important decision-support tool to facilitate the use of this new information into patient care.

The shift from conventional empirical dose adjustments to dashboard facilitated dosing will require access to the models developed during drug development or during post-marketing evaluations. However, prior to routine implementation in clinical use, dashboard systems will need to be designed to merge seamlessly with current clinical practice and the use of these systems will need to be verified by prospective clinical trials showing the benefit of this approach, and education about these systems will have to be made available to practicing physicians.

Preliminary data of a retroactive study completed using an IFX dashboard prototype showed a there was 0.70 concordance of actual trough values with forecasted trough values when using clinical profiles with laboratory observations from the first maintenance infusion. The dashboard retroactively evaluated dosing regimens for the patients and recommended every 7-8 week dosing in 56% of patients who received every 7-8 week. The dashboard system recommended a dose decrease for 52% of subjects and dose increased for 38% of patients. Additionally, 71.4% of subjects who developed antibodies were recommended dose changes and/or dosing frequency changes.

The dashboard system will actively monitor and dose to target a maintenance drug trough level after the standard induction period is complete. By proactively monitoring and dosing patients, this study hopes to reduce the frequency of subjects losing response due to anti-drug antibody development and to increase the frequency of subjects attaining and sustaining therapeutic drug. Overall, the Precision IFX dashboard will serve as a decision support tool for the clinician. The clinician will ultimately determine the appropriate dosing regimen to use for the patient. The dosing regimen will be within standard-of-care guidelines and within guideline and limits usually practiced in clinic and authorized by insurances.

Study Type

Interventional

Enrollment (Actual)

189

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • New York
      • New York, New York, United States, 10029
        • Susan and Leonard Feinstein Inflammatory Bowel Disease Clinical Center

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

6 years to 45 years (ADULT, CHILD)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Patients with Inflammatory Bowel Disease
  • Patients at least 6 years of age, upper limit of 45 years old
  • Recently Indicated for (or already scheduled for) infliximab induction as per standard-of-care by treating gastroenterologist
  • Patient consent/assent and/or parent/guardian consent

Exclusion Criteria:

  • Patients do not consent to participate in study
  • Patients unable to comply with protocol

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: TREATMENT
  • Allocation: NA
  • Interventional Model: SINGLE_GROUP
  • Masking: NONE

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
EXPERIMENTAL: Individualized Dosage Precision IFX Dashboard
A clinician will select a dose and dosing frequency that is populated by a pharmacokinetic dashboard system that monitors and aims to dose patients to maintain a target trough infliximab concentration. Dosage and dosing frequency may vary from each patient.
Pharmacokinetic Dashboard Recommended Dosage and Dosing Frequency of Infliximab

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
drug trough levels
Time Frame: Week 54
use of Precision IFX dashboard - frequency of attaining and maintaining target drug trough levels
Week 54

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
anti-drug antibody level
Time Frame: Week 54
use of Precision IFX dashboard reduce - frequency of anti-drug antibody development prior to one year of maintenance therapy
Week 54

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Marla C Dubinsky, MD, Icahn School of Medicine at Mount Sinai

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

January 1, 2015

Primary Completion (ACTUAL)

October 21, 2020

Study Completion (ACTUAL)

October 21, 2020

Study Registration Dates

First Submitted

December 3, 2015

First Submitted That Met QC Criteria

December 7, 2015

First Posted (ESTIMATE)

December 8, 2015

Study Record Updates

Last Update Posted (ACTUAL)

May 18, 2021

Last Update Submitted That Met QC Criteria

May 14, 2021

Last Verified

May 1, 2021

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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