NCT03841162

Brief Summary

Sepsis is a life-threatening disease caused by a dysregulated host response to infection. This can lead to organ-dysfunction and septic shock, which is a subset of sepsis where underlying abnormalities increase mortality remarkably. Blood cultures are the gold standard for identifying pathogens in the bloodstream (bacteremia). It is based on cultivation techniques which, theoretically, can detect a single pathogenic cell from a patient sample. However, blood cultures have serious limitations, such as long time to result (3-7 days). This leads to the fact that only a small fraction of the patients obtain a correct diagnosis and in further consequence get the optimal antimicrobial treatment. Patients with sepsis should get antimicrobial treatment within the hour. Thus, physicians start treatment empirically, with broad-spectrum antibiotics. This puts a selective pressure on pathogens and has led to an increased amount of antibiotic resistance. Faster diagnostics are necessary to ensure an immediate and targeted treatment. In the EU-funded FAPIC project, two diagnostic systems that can be used with direct sample material from patients will be developed, avoiding the time-consuming cultivation of pathogens. In this study, the evaluation of the rapid diagnostics will be performed in patients with sepsis, suspected of bacteremia. To this aim, the performance of the diagnostic systems will be evaluated using blood samples that are collected in parallel with blood cultures. In addition, clinical data of the patients will be collected. In routine care, two blood culture sets (2x2 bottles) per patient are collected. One extra blood samples (EDTA, 9 ml) will be sampled with each blood culture set, totaling 2 samples per patient. In this study, patients presenting at the Emergency Department (ED), and the department of infectious diseases/nephrology will be included. The results will be used to estimate the performance, sensitivity, and specificity of the diagnostic systems compared to blood culture. Furthermore, in order to determine the severity of sepsis and to describe the patient population, clinically relevant parameters and laboratory parameters (ferritin, HLA-DR, serum lactate, SOFA score) will be assessed to determine its association with severity of disease and patient mortality. Evaluation will be done exclusively in the lab, and will not be used directly for the diagnosis or management of patients. Standard care will still be provided.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,957

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Feb 2019

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

February 6, 2019

Completed
6 days until next milestone

Study Start

First participant enrolled

February 12, 2019

Completed
3 days until next milestone

First Posted

Study publicly available on registry

February 15, 2019

Completed
1.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 17, 2020

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

April 17, 2020

Completed
Last Updated

April 29, 2020

Status Verified

April 1, 2020

Enrollment Period

1.2 years

First QC Date

February 6, 2019

Last Update Submit

April 28, 2020

Conditions

Keywords

Blood Cultures

Outcome Measures

Primary Outcomes (4)

  • Confirmed bacteremia based on positive blood cultures (SOFA score)

    Differences in SOFA score between patients with positive blood cultures and patients with negative blood cultures. SOFA: Sequential Organ Failure Assessment; Range 0-4 (better to worse).

    7 days

  • Confirmed bacteremia based on positive blood cultures (Serum Lactate)

    Differences in Serum Lactate levels between patients with positive blood cultures and patients with negative blood cultures

    7 days

  • Confirmed bacteremia based on positive blood cultures (Ferritin)

    Differences in Ferritin levels between patients with positive blood cultures and patients with negative blood cultures

    7 days

  • Test performance

    Performance characteristics (Clinical sensitivity, specificity and accuracy) of a new rapid diagnostic systems

    1 year

Secondary Outcomes (6)

  • Length of Stay (SOFA score)

    1 year

  • Length of Stay (Serum Lactate)

    1 year

  • Length of Stay (Ferritin)

    1 year

  • 30-day Mortality (Sofa score)

    30 days

  • 30-day Mortality (Serum Lactate)

    30 days

  • +1 more secondary outcomes

Study Arms (1)

Patients with suspected sepsis

Patients for whom blood cultures are drawn at the Emergency Department or the department of Infectious Diseases/Nephrology

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Patients with suspected sepsis, for whom blood cultures are drawn.

You may qualify if:

  • Patients for whom blood cultures are drawn
  • Age ≥ 18

You may not qualify if:

  • Age \< 18
  • Patients who are not hospitalized and sent home after ED admission
  • Patients from the haematology department
  • Duplicate blood cultures from the same bacteraemia episode (blood cultures drawn \<7 days after first blood culture)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Jessa Hospital

Hasselt, Limburg, 3500, Belgium

Location

Related Publications (22)

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    PMID: 26903338BACKGROUND
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    PMID: 26903336BACKGROUND
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    PMID: 23480440BACKGROUND
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    PMID: 22220196BACKGROUND
  • Kibe S, Adams K, Barlow G. Diagnostic and prognostic biomarkers of sepsis in critical care. J Antimicrob Chemother. 2011 Apr;66 Suppl 2:ii33-40. doi: 10.1093/jac/dkq523.

    PMID: 21398306BACKGROUND
  • Cinel I, Opal SM. Molecular biology of inflammation and sepsis: a primer. Crit Care Med. 2009 Jan;37(1):291-304. doi: 10.1097/CCM.0b013e31819267fb.

    PMID: 19050640BACKGROUND
  • Gogos CA, Drosou E, Bassaris HP, Skoutelis A. Pro- versus anti-inflammatory cytokine profile in patients with severe sepsis: a marker for prognosis and future therapeutic options. J Infect Dis. 2000 Jan;181(1):176-80. doi: 10.1086/315214.

    PMID: 10608764BACKGROUND
  • Rosario C, Zandman-Goddard G, Meyron-Holtz EG, D'Cruz DP, Shoenfeld Y. The hyperferritinemic syndrome: macrophage activation syndrome, Still's disease, septic shock and catastrophic antiphospholipid syndrome. BMC Med. 2013 Aug 22;11:185. doi: 10.1186/1741-7015-11-185.

    PMID: 23968282BACKGROUND
  • Schulert GS, Grom AA. Pathogenesis of macrophage activation syndrome and potential for cytokine- directed therapies. Annu Rev Med. 2015;66:145-59. doi: 10.1146/annurev-med-061813-012806. Epub 2014 Nov 5.

    PMID: 25386930BACKGROUND
  • Kell DB, Pretorius E. Serum ferritin is an important inflammatory disease marker, as it is mainly a leakage product from damaged cells. Metallomics. 2014 Apr;6(4):748-73. doi: 10.1039/c3mt00347g.

    PMID: 24549403BACKGROUND
  • Carcillo JA, Simon DW, Podd BS. How We Manage Hyperferritinemic Sepsis-Related Multiple Organ Dysfunction Syndrome/Macrophage Activation Syndrome/Secondary Hemophagocytic Lymphohistiocytosis Histiocytosis. Pediatr Crit Care Med. 2015 Jul;16(6):598-600. doi: 10.1097/PCC.0000000000000460. No abstract available.

    PMID: 26154908BACKGROUND
  • Bennett TD, Hayward KN, Farris RW, Ringold S, Wallace CA, Brogan TV. Very high serum ferritin levels are associated with increased mortality and critical care in pediatric patients. Pediatr Crit Care Med. 2011 Nov;12(6):e233-6. doi: 10.1097/PCC.0b013e31820abca8.

    PMID: 21263363BACKGROUND
  • Kyriazopoulou E, Leventogiannis K, Norrby-Teglund A, Dimopoulos G, Pantazi A, Orfanos SE, Rovina N, Tsangaris I, Gkavogianni T, Botsa E, Chassiou E, Kotanidou A, Kontouli C, Chaloulis P, Velissaris D, Savva A, Cullberg JS, Akinosoglou K, Gogos C, Armaganidis A, Giamarellos-Bourboulis EJ; Hellenic Sepsis Study Group. Macrophage activation-like syndrome: an immunological entity associated with rapid progression to death in sepsis. BMC Med. 2017 Sep 18;15(1):172. doi: 10.1186/s12916-017-0930-5.

    PMID: 28918754BACKGROUND
  • Shakoory B, Carcillo JA, Chatham WW, Amdur RL, Zhao H, Dinarello CA, Cron RQ, Opal SM. Interleukin-1 Receptor Blockade Is Associated With Reduced Mortality in Sepsis Patients With Features of Macrophage Activation Syndrome: Reanalysis of a Prior Phase III Trial. Crit Care Med. 2016 Feb;44(2):275-81. doi: 10.1097/CCM.0000000000001402.

    PMID: 26584195BACKGROUND
  • Antonakos N, Tsaganos T, Oberle V, Tsangaris I, Lada M, Pistiki A, Machairas N, Souli M, Bauer M, Giamarellos-Bourboulis EJ. Decreased cytokine production by mononuclear cells after severe gram-negative infections: early clinical signs and association with final outcome. Crit Care. 2017 Mar 9;21(1):48. doi: 10.1186/s13054-017-1625-1.

    PMID: 28274246BACKGROUND
  • Gainaru G, Papadopoulos A, Tsangaris I, Lada M, Giamarellos-Bourboulis EJ, Pistiki A. Increases in inflammatory and CD14dim/CD16pos/CD45pos patrolling monocytes in sepsis: correlation with final outcome. Crit Care. 2018 Mar 3;22(1):56. doi: 10.1186/s13054-018-1977-1.

    PMID: 29499723BACKGROUND
  • Drewry AM, Ablordeppey EA, Murray ET, Beiter ER, Walton AH, Hall MW, Hotchkiss RS. Comparison of monocyte human leukocyte antigen-DR expression and stimulated tumor necrosis factor alpha production as outcome predictors in severe sepsis: a prospective observational study. Crit Care. 2016 Oct 20;20(1):334. doi: 10.1186/s13054-016-1505-0.

    PMID: 27760554BACKGROUND
  • Cazalis MA, Friggeri A, Cave L, Demaret J, Barbalat V, Cerrato E, Lepape A, Pachot A, Monneret G, Venet F. Decreased HLA-DR antigen-associated invariant chain (CD74) mRNA expression predicts mortality after septic shock. Crit Care. 2013 Dec 10;17(6):R287. doi: 10.1186/cc13150.

    PMID: 24321376BACKGROUND
  • Wang AY, Ma HP, Kao WF, Tsai SH, Chang CK. Red blood cell distribution width is associated with mortality in elderly patients with sepsis. Am J Emerg Med. 2018 Jun;36(6):949-953. doi: 10.1016/j.ajem.2017.10.056. Epub 2017 Nov 10.

    PMID: 29133071BACKGROUND
  • Kim CH, Park JT, Kim EJ, Han JH, Han JS, Choi JY, Han SH, Yoo TH, Kim YS, Kang SW, Oh HJ. An increase in red blood cell distribution width from baseline predicts mortality in patients with severe sepsis or septic shock. Crit Care. 2013 Dec 9;17(6):R282. doi: 10.1186/cc13145.

    PMID: 24321201BACKGROUND
  • D'Onofrio V, Heylen D, Pusparum M, Grondman I, Vanwalleghem J, Meersman A, Cartuyvels R, Messiaen P, Joosten LAB, Netea MG, Valkenborg D, Ertaylan G, Gyssens IC. A prospective observational cohort study to identify inflammatory biomarkers for the diagnosis and prognosis of patients with sepsis. J Intensive Care. 2022 Mar 9;10(1):13. doi: 10.1186/s40560-022-00602-x.

  • D'Onofrio V, Van Steenkiste E, Meersman A, Waumans L, Cartuyvels R, Van Halem K, Messiaen P, Gyssens IC. Differentiating influenza from COVID-19 in patients presenting with suspected sepsis. Eur J Clin Microbiol Infect Dis. 2021 May;40(5):987-995. doi: 10.1007/s10096-020-04109-x. Epub 2020 Dec 3.

Related Links

Biospecimen

Retention: SAMPLES WITH DNA

1 EDTA bood sample per blood culture set (2 per patient). 5mL of samples is used for validation of DNA-based diagnostics developed within the FAPIC-project. 4mL of samples is used for HLA-DR typing using flow cytometry. Left-overs are stored as plasma for future research.

MeSH Terms

Conditions

BacteremiaSepsisShock, Septic

Condition Hierarchy (Ancestors)

Bacterial InfectionsBacterial Infections and MycosesInfectionsSystemic Inflammatory Response SyndromeInflammationPathologic ProcessesPathological Conditions, Signs and SymptomsShock

Study Officials

  • Inge C Gyssens, MD, PhD

    Radboud University Medical Center

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

February 6, 2019

First Posted

February 15, 2019

Study Start

February 12, 2019

Primary Completion

April 17, 2020

Study Completion

April 17, 2020

Last Updated

April 29, 2020

Record last verified: 2020-04

Data Sharing

IPD Sharing
Will not share

Locations