Procalcitonin and Antimicrobial Utilization in Critically Ill Cancer Patients with Sepsis

NCT ID: NCT04203524

Last Updated: 2025-03-17

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

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

TERMINATED

Clinical Phase

NA

Total Enrollment

157 participants

Study Classification

INTERVENTIONAL

Study Start Date

2019-08-21

Study Completion Date

2023-03-01

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Studies have demonstrated that the use of a procalcitonin (PCT)-guided algorithm in combination with clinical judgment was associated with reduced antibiotic use without impacting mortality or treatment failure. Though several studies have evaluated the use of PCT in critically ill patients, there are limited studies that evaluated PCT in patients with cancer and many of the currently available studies have excluded immune-compromised patients.

This is a randomized controlled trial that aims to evaluate the impact of a procalcitonin-guided algorithm on antibiotic utilization in critically ill cancer patients with sepsis. In addition, the study aims to evaluate the predictive value of PCT for predicting mortality and positive cultures.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Procalcitonin (PCT) has been widely studied to guide antibiotic use in critically ill septic patients. Using an algorithm for antibiotic de-escalation guided by PCT levels in septic patients with respiratory tract infections was associated with lower antibiotics exposure without increasing mortality or treatment failure. Furthermore, the current Surviving Sepsis Guidelines suggest that PCT levels may help clinicians in their decision of empiric antibiotics discontinuation especially in patients with suspected sepsis and low PCT values with no other evidence of infection (low level of evidence, GRADE 2C).

Reducing the use of antibiotics is a global health care priority. Using a PCT-guided algorithm in combination with clinical judgment was associated with reduced antibiotic use without increasing morbidity or mortality. Though PCT has been widely studied as a diagnostic, prognostic, and theragnostic inflammatory marker in patients with sepsis, there are limited studies that evaluated PCT in patients with cancer and many of the currently available studies have excluded immune-compromised patients. Furthermore, studies have reported elevated inflammatory markers, including PCT, in patients with cancer as a result of the malignancy itself or treatment complications. This may suggest that PCT alone may possibly be less useful for differentiating infectious from non-infectious sources of fever in cancer patients. However, serial PCT levels may be more useful in cancer patients, compared to a single level.

Sepsis is common in cancer patients; however, there are limited studies evaluating the clinical impact of obtaining PCT levels in this patient population. Therefore, this study will evaluate the impact of obtaining serial PCT levels on the number of antibiotic days in cancer patients with sepsis. In addition, the study aims to evaluate the predictive value of PCT for predicting mortality and positive cultures.

Study Objectives The main objective of this study is to evaluate the impact of a PCT-guided algorithm on the duration of antimicrobial therapy in critically ill cancer patients with sepsis. The main research question being asked is whether providing the clinical team with daily PCT levels, along with a PCT-based algorithm to guide antimicrobial management, would have an impact on the duration of antibiotic therapy. In addition, the study intends to assess the role of PCT in predicting mortality and positive cultures in the cancer septic patient population.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Sepsis Septic Shock Neoplasm Critical Illness

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Randomized controlled study
Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

SINGLE

Participants

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Procalcitonin Arm

The medical team will be provided with a daily PCT for the patient, along with the PCT-guided algorithm that outlines the suggested management based on the PCT levels.

Group Type EXPERIMENTAL

Procalcitonin Levels

Intervention Type DIAGNOSTIC_TEST

Procalcitonin (PCT) will be measured within 48 hours of admission to the ICU or 48 hours of onset of sepsis (if developed during the ICU stay). In addition, the patients will have daily blood samples taken up to 5 days or until ICU transfer, whichever occurs first. A PCT-guided algorithm will be available to guide the management of patients in the PCT group.

Control Arm

Procalcitonin levels will be measured for those patients, but the medical team will be blinded from their results

Group Type OTHER

Control

Intervention Type OTHER

Procalcitonin (PCT) will be measured within 48 hours of admission to the ICU or 48 hours of onset of sepsis (if developed during the ICU stay). In addition, the patients will have daily blood samples taken up to 5 days or until ICU transfer, whichever occurs first.The results of the PCT levels obtained will be blinded and all clinical team members will not be able to access the results.

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Procalcitonin Levels

Procalcitonin (PCT) will be measured within 48 hours of admission to the ICU or 48 hours of onset of sepsis (if developed during the ICU stay). In addition, the patients will have daily blood samples taken up to 5 days or until ICU transfer, whichever occurs first. A PCT-guided algorithm will be available to guide the management of patients in the PCT group.

Intervention Type DIAGNOSTIC_TEST

Control

Procalcitonin (PCT) will be measured within 48 hours of admission to the ICU or 48 hours of onset of sepsis (if developed during the ICU stay). In addition, the patients will have daily blood samples taken up to 5 days or until ICU transfer, whichever occurs first.The results of the PCT levels obtained will be blinded and all clinical team members will not be able to access the results.

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Age ≥ 18 years old
* Expected to remain in the ICU for at least 48 hours
* Patient meets the SEPSIS-3 criteria for sepsis defined as having a SOFA score change of 2 or more and suspected infection.
* Patient on antibiotics for suspected infection

Exclusion Criteria

* Patient code is DNR
* Patient receiving antibiotics for surgical prophylaxis
* Consent cannot be obtained
* Patients who are expected to require antibiotics for more than 14 days
* Patients who have PCT levels ordered as part of their routine clinical care
* Patients who are followed by the Infectious Disease team.
* Patient with life expectancy \<24 hours.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

King Hussein Cancer Center

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Lama Nazer

Head of Pharmacy Research and Staff Development/ Critical Care Clinical Pharmacy Specialist

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Lama H Nazer, PharmD

Role: PRINCIPAL_INVESTIGATOR

King Hussein Cancer Center

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

King Hussein Cancer Center

Amman, , Jordan

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Jordan

References

Explore related publications, articles, or registry entries linked to this study.

Shehabi Y, Sterba M, Garrett PM, Rachakonda KS, Stephens D, Harrigan P, Walker A, Bailey MJ, Johnson B, Millis D, Ding G, Peake S, Wong H, Thomas J, Smith K, Forbes L, Hardie M, Micallef S, Fraser JF; ProGUARD Study Investigators; ANZICS Clinical Trials Group. Procalcitonin algorithm in critically ill adults with undifferentiated infection or suspected sepsis. A randomized controlled trial. Am J Respir Crit Care Med. 2014 Nov 15;190(10):1102-10. doi: 10.1164/rccm.201408-1483OC.

Reference Type BACKGROUND
PMID: 25295709 (View on PubMed)

de Jong E, van Oers JA, Beishuizen A, Vos P, Vermeijden WJ, Haas LE, Loef BG, Dormans T, van Melsen GC, Kluiters YC, Kemperman H, van den Elsen MJ, Schouten JA, Streefkerk JO, Krabbe HG, Kieft H, Kluge GH, van Dam VC, van Pelt J, Bormans L, Otten MB, Reidinga AC, Endeman H, Twisk JW, van de Garde EMW, de Smet AMGA, Kesecioglu J, Girbes AR, Nijsten MW, de Lange DW. Efficacy and safety of procalcitonin guidance in reducing the duration of antibiotic treatment in critically ill patients: a randomised, controlled, open-label trial. Lancet Infect Dis. 2016 Jul;16(7):819-827. doi: 10.1016/S1473-3099(16)00053-0. Epub 2016 Mar 2.

Reference Type BACKGROUND
PMID: 26947523 (View on PubMed)

Schuetz P, Chiappa V, Briel M, Greenwald JL. Procalcitonin algorithms for antibiotic therapy decisions: a systematic review of randomized controlled trials and recommendations for clinical algorithms. Arch Intern Med. 2011 Aug 8;171(15):1322-31. doi: 10.1001/archinternmed.2011.318.

Reference Type BACKGROUND
PMID: 21824946 (View on PubMed)

Andriolo BN, Andriolo RB, Salomao R, Atallah AN. Effectiveness and safety of procalcitonin evaluation for reducing mortality in adults with sepsis, severe sepsis or septic shock. Cochrane Database Syst Rev. 2017 Jan 18;1(1):CD010959. doi: 10.1002/14651858.CD010959.pub2.

Reference Type BACKGROUND
PMID: 28099689 (View on PubMed)

Paul M, Dickstein Y, Raz-Pasteur A. Antibiotic de-escalation for bloodstream infections and pneumonia: systematic review and meta-analysis. Clin Microbiol Infect. 2016 Dec;22(12):960-967. doi: 10.1016/j.cmi.2016.05.023. Epub 2016 Jun 6.

Reference Type BACKGROUND
PMID: 27283148 (View on PubMed)

Prkno A, Wacker C, Brunkhorst FM, Schlattmann P. Procalcitonin-guided therapy in intensive care unit patients with severe sepsis and septic shock--a systematic review and meta-analysis. Crit Care. 2013 Dec 11;17(6):R291. doi: 10.1186/cc13157.

Reference Type BACKGROUND
PMID: 24330744 (View on PubMed)

Soni NJ, Samson DJ, Galaydick JL, Vats V, Huang ES, Aronson N, Pitrak DL. Procalcitonin-guided antibiotic therapy: a systematic review and meta-analysis. J Hosp Med. 2013 Sep;8(9):530-40. doi: 10.1002/jhm.2067. Epub 2013 Aug 17.

Reference Type BACKGROUND
PMID: 23955852 (View on PubMed)

Wirz Y, Meier MA, Bouadma L, Luyt CE, Wolff M, Chastre J, Tubach F, Schroeder S, Nobre V, Annane D, Reinhart K, Damas P, Nijsten M, Shajiei A, deLange DW, Deliberato RO, Oliveira CF, Shehabi Y, van Oers JAH, Beishuizen A, Girbes ARJ, de Jong E, Mueller B, Schuetz P. Effect of procalcitonin-guided antibiotic treatment on clinical outcomes in intensive care unit patients with infection and sepsis patients: a patient-level meta-analysis of randomized trials. Crit Care. 2018 Aug 15;22(1):191. doi: 10.1186/s13054-018-2125-7.

Reference Type BACKGROUND
PMID: 30111341 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

19KHCC11

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.