- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05686577
How to Reduce Unnecessary Blood Cultures: Construction and Validation of a Predictive Score for Blood Culture Positivity in Intensive Care (PROBIty)
February 29, 2024 updated by: University Hospital, Tours
Comment Diminuer Les hémocultures Inutiles : Construction et Validation d'un Score prédictif de positivité Des hémocultures en réanimation.
Prospective observational cohort consisting of all adult patients admitted to participating critical care units (ICU and CCU) during the study period, with blood cultures collected as part of their care, and who did not express any objection to participating.
For each patient, data will be collected prospectively for each blood culture set collected.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Study Type
Observational
Enrollment (Actual)
2411
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Denis GAROT
- Phone Number: +33 247473855
- Email: d.garot@chu-tours.fr
Study Contact Backup
- Name: Pierre-François DEQUIN
- Phone Number: +33 247473855
- Email: dequin@univ-tours.fr
Study Locations
-
-
-
Brest, France
- CHU Brest
-
Dijon, France
- CHU Dijon
-
La Roche-sur-Yon, France
- CHD La Roche sur Yon
-
Le Mans, France
- CH Le Mans
-
Nantes, France
- CHU Nantes
-
Orléans, France
- CHR Orléans
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Poitiers, France
- CHU Poitiers
-
Rennes, France
- CHU Rennes
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Strasbourg, France
- CHIU Strasbourg
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Tours, France, 37044
- CHU de Tours
-
-
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
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
critical care patient with suspected infection.
Description
Inclusion Criteria:
- Male or female, age 18 years or older
- Patient admitted to an ICU or ICU
- patient with a blood culture sample as part of care
Exclusion Criteria:
- Patient already included in this study during a previous hospitalisation
- Opposition expressed for participation in the study
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
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
learning database group
The results of blood cultures and the clinical elements of the patients in the first sample (1600 patients) will constitute the learning database.
A supervised learning will be performed on these data in order to select a set of clinical elements allowing to define a predictive score of positive blood cultures
|
no intervention
|
validation database group
The score will be validated on the remaining sample (800 patients), independent of the first sample.
Both samples will be constituted by randomization.
|
no intervention
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
Area under the ROC curve of the predictive performance of the score for predicting bacteremia or fungemia.
Time Frame: day 1- day 28
|
day 1- day 28
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Area under the ROC curve of the diagnostic performance of body temperature to predict bacteremia or fungemia;
Time Frame: day 1- day 28
|
day 1- day 28
|
|
Area under the ROC curve of the diagnostic performance of the Shapiro score for predicting bacteremia or fungemia;
Time Frame: day 1- day 28
|
day 1- day 28
|
|
Proportion of bacteremia or fungemia identified by blood cultures in patients on antibiotic therapy and broad-spectrum antibiotic therapy, and factors associated with these bacteremias or fungemias;
Time Frame: day 1- day 28
|
day 1- day 28
|
|
Comparison of the diagnostic performance of the score in predicting bacteremia or fungemia observed during the first 48 hours of hospitalization to later bacteremias;
Time Frame: 48 hours
|
48 hours
|
|
Descriptive study of the contribution of blood cultures, whatever their results, to the prescription of anti-infectives.
Time Frame: day 1- day 28
|
day 1- day 28
|
|
Efficiency of the new predictive score for blood culture positivity in Intensive Care, as compared with body temperature and Shapiro score, measured by two Incremental Cost-Effectiveness Ratios (ICER): ICER (incremental cost per additional well-detecte
Time Frame: less than 1 month
|
A tree decision model will compare three strategies for predicting positive blood cultures: the new predictive score, body temperature and Shapiro score.
Within-trial data will be used to define the model parameters.
The model will consider the costs related to the implementation of the strategies, blood cultures, and potential delays in patient management.
This will result in the estimation of the two ICERs.
|
less than 1 month
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Denis GAROT, University Hospital, Tours
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
- Vincent JL, Moreno R, Takala J, Willatts S, De Mendonca A, Bruining H, Reinhart CK, Suter PM, Thijs LG. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Med. 1996 Jul;22(7):707-10. doi: 10.1007/BF01709751. No abstract available.
- Seymour CW, Liu VX, Iwashyna TJ, Brunkhorst FM, Rea TD, Scherag A, Rubenfeld G, Kahn JM, Shankar-Hari M, Singer M, Deutschman CS, Escobar GJ, Angus DC. Assessment of Clinical Criteria for Sepsis: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA. 2016 Feb 23;315(8):762-74. doi: 10.1001/jama.2016.0288. Erratum In: JAMA. 2016 May 24-31;315(20):2237.
- Coburn B, Morris AM, Tomlinson G, Detsky AS. Does this adult patient with suspected bacteremia require blood cultures? JAMA. 2012 Aug 1;308(5):502-11. doi: 10.1001/jama.2012.8262. Erratum In: JAMA. 2013 Jan 23;309(4):343.
- Dargere S, Parienti JJ, Roupie E, Gancel PE, Wiel E, Smaiti N, Loiez C, Joly LM, Lemee L, Pestel-Caron M, du Cheyron D, Verdon R, Leclercq R, Cattoir V; UBC study group. Unique blood culture for diagnosis of bloodstream infections in emergency departments: a prospective multicentre study. Clin Microbiol Infect. 2014 Nov;20(11):O920-7. doi: 10.1111/1469-0691.12656. Epub 2014 Jun 14.
- Rhee C, Dantes R, Epstein L, Murphy DJ, Seymour CW, Iwashyna TJ, Kadri SS, Angus DC, Danner RL, Fiore AE, Jernigan JA, Martin GS, Septimus E, Warren DK, Karcz A, Chan C, Menchaca JT, Wang R, Gruber S, Klompas M; CDC Prevention Epicenter Program. Incidence and Trends of Sepsis in US Hospitals Using Clinical vs Claims Data, 2009-2014. JAMA. 2017 Oct 3;318(13):1241-1249. doi: 10.1001/jama.2017.13836.
- Goto M, Al-Hasan MN. Overall burden of bloodstream infection and nosocomial bloodstream infection in North America and Europe. Clin Microbiol Infect. 2013 Jun;19(6):501-9. doi: 10.1111/1469-0691.12195. Epub 2013 Mar 8.
- McNamara JF, Righi E, Wright H, Hartel GF, Harris PNA, Paterson DL. Long-term morbidity and mortality following bloodstream infection: A systematic literature review. J Infect. 2018 Jul;77(1):1-8. doi: 10.1016/j.jinf.2018.03.005. Epub 2018 May 7.
- Patel R. New Developments in Clinical Bacteriology Laboratories. Mayo Clin Proc. 2016 Oct;91(10):1448-1459. doi: 10.1016/j.mayocp.2016.06.020. Epub 2016 Aug 21.
- Leyssene D, Gardes S, Vilquin P, Flandrois JP, Carret G, Lamy B. Species-driven interpretation guidelines in case of a single-sampling strategy for blood culture. Eur J Clin Microbiol Infect Dis. 2011 Dec;30(12):1537-41. doi: 10.1007/s10096-011-1257-3. Epub 2011 Apr 18.
- Dargere S, Cormier H, Verdon R. Contaminants in blood cultures: importance, implications, interpretation and prevention. Clin Microbiol Infect. 2018 Sep;24(9):964-969. doi: 10.1016/j.cmi.2018.03.030. Epub 2018 Apr 3.
- Kirn TJ, Weinstein MP. Update on blood cultures: how to obtain, process, report, and interpret. Clin Microbiol Infect. 2013 Jun;19(6):513-20. doi: 10.1111/1469-0691.12180. Epub 2013 Mar 13.
- Opota O, Croxatto A, Prod'hom G, Greub G. Blood culture-based diagnosis of bacteraemia: state of the art. Clin Microbiol Infect. 2015 Apr;21(4):313-22. doi: 10.1016/j.cmi.2015.01.003. Epub 2015 Jan 16.
- Lamy B, Dargere S, Arendrup MC, Parienti JJ, Tattevin P. How to Optimize the Use of Blood Cultures for the Diagnosis of Bloodstream Infections? A State-of-the Art. Front Microbiol. 2016 May 12;7:697. doi: 10.3389/fmicb.2016.00697. eCollection 2016.
- Lin HH, Liu YF, Tien N, Ho CM, Hsu LN, Lu JJ. Evaluation of the blood volume effect on the diagnosis of bacteremia in automated blood culture systems. J Microbiol Immunol Infect. 2013 Feb;46(1):48-52. doi: 10.1016/j.jmii.2012.03.012. Epub 2012 Jun 26.
- Snyder SR, Favoretto AM, Baetz RA, Derzon JH, Madison BM, Mass D, Shaw CS, Layfield CD, Christenson RH, Liebow EB. Effectiveness of practices to reduce blood culture contamination: a Laboratory Medicine Best Practices systematic review and meta-analysis. Clin Biochem. 2012 Sep;45(13-14):999-1011. doi: 10.1016/j.clinbiochem.2012.06.007. Epub 2012 Jun 16.
- Caldeira D, David C, Sampaio C. Skin antiseptics in venous puncture-site disinfection for prevention of blood culture contamination: systematic review with meta-analysis. J Hosp Infect. 2011 Mar;77(3):223-32. doi: 10.1016/j.jhin.2010.10.015. Epub 2010 Dec 30.
- Cockerill FR 3rd, Hughes JG, Vetter EA, Mueller RA, Weaver AL, Ilstrup DM, Rosenblatt JE, Wilson WR. Analysis of 281,797 consecutive blood cultures performed over an eight-year period: trends in microorganisms isolated and the value of anaerobic culture of blood. Clin Infect Dis. 1997 Mar;24(3):403-18. doi: 10.1093/clinids/24.3.403.
- Andrews AL, Simpson AN, Heine D, Teufel RJ 2nd. A Cost-Effectiveness Analysis of Obtaining Blood Cultures in Children Hospitalized for Community-Acquired Pneumonia. J Pediatr. 2015 Dec;167(6):1280-6. doi: 10.1016/j.jpeds.2015.09.025. Epub 2015 Oct 9.
- Yamamoto S, Yamazaki S, Shimizu T, Takeshima T, Fukuma S, Yamamoto Y, Tochitani K, Tsuchido Y, Shinohara K, Fukuhara S. Body Temperature at the Emergency Department as a Predictor of Mortality in Patients With Bacterial Infection. Medicine (Baltimore). 2016 May;95(21):e3628. doi: 10.1097/MD.0000000000003628.
- Eliakim-Raz N, Bates DW, Leibovici L. Predicting bacteraemia in validated models--a systematic review. Clin Microbiol Infect. 2015 Apr;21(4):295-301. doi: 10.1016/j.cmi.2015.01.023. Epub 2015 Feb 10.
- Shapiro NI, Wolfe RE, Wright SB, Moore R, Bates DW. Who needs a blood culture? A prospectively derived and validated prediction rule. J Emerg Med. 2008 Oct;35(3):255-64. doi: 10.1016/j.jemermed.2008.04.001. Epub 2008 May 16.
- Laukemann S, Kasper N, Kulkarni P, Steiner D, Rast AC, Kutz A, Felder S, Haubitz S, Faessler L, Huber A, Fux CA, Mueller B, Schuetz P. Can We Reduce Negative Blood Cultures With Clinical Scores and Blood Markers? Results From an Observational Cohort Study. Medicine (Baltimore). 2015 Dec;94(49):e2264. doi: 10.1097/MD.0000000000002264. Erratum In: Medicine (Baltimore). 2017 Feb 17;96(7):e6197.
- Peres Bota D, Melot C, Lopes Ferreira F, Vincent JL. Infection Probability Score (IPS): A method to help assess the probability of infection in critically ill patients. Crit Care Med. 2003 Nov;31(11):2579-84. doi: 10.1097/01.CCM.0000094223.92746.56.
- Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982 Apr;143(1):29-36. doi: 10.1148/radiology.143.1.7063747.
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 (Actual)
November 22, 2022
Primary Completion (Actual)
September 27, 2023
Study Completion (Actual)
October 25, 2023
Study Registration Dates
First Submitted
January 6, 2023
First Submitted That Met QC Criteria
January 6, 2023
First Posted (Actual)
January 17, 2023
Study Record Updates
Last Update Posted (Estimated)
March 1, 2024
Last Update Submitted That Met QC Criteria
February 29, 2024
Last Verified
February 1, 2024
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- DR200089 (PROBIty)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
UNDECIDED
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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