How to Reduce Unnecessary Blood Cultures: Construction and Validation of a Predictive Score for Blood Culture Positivity in Intensive Care
NCT ID: NCT05686577
Last Updated: 2024-03-01
Study Results
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.
COMPLETED
2411 participants
OBSERVATIONAL
2022-11-22
2023-10-25
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
For each patient, data will be collected prospectively for each blood culture set collected.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Blood Cultures's Profitability in Intensive Care Unit
NCT02869191
Sepsis in ICU:Causes and Outcomes of Sepsis in Diabetics Versus Non Diabetics in Assiut University Hospital
NCT04015752
Predictive Value of Procalcitonin for Bacteremia in the ICU
NCT03497741
PREdiction of DIagnosed Covid-19 infecTion in IUC Patients
NCT04327180
Blood DdPCR for Early Identification and Dynamic Surveillance of Pathogenic Bacteria in ICU Septic Patients: a Single-centre, Prospective, Observational Study
NCT06791889
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
PROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
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
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
no intervention
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
no intervention
no intervention
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Patient admitted to an ICU or ICU
* patient with a blood culture sample as part of care
Exclusion Criteria
* Opposition expressed for participation in the study
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
University Hospital, Tours
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Denis GAROT
Role: PRINCIPAL_INVESTIGATOR
University Hospital, Tours
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
CHU Brest
Brest, , France
CHU Dijon
Dijon, , France
CHD La Roche sur Yon
La Roche-sur-Yon, , France
CH Le Mans
Le Mans, , France
CHU Nantes
Nantes, , France
CHR Orléans
Orléans, , France
CHU Poitiers
Poitiers, , France
CHU Rennes
Rennes, , France
CHIU Strasbourg
Strasbourg, , France
CHU de Tours
Tours, , France
Countries
Review the countries where the study has at least one active or historical site.
References
Explore related publications, articles, or registry entries linked to this study.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
DR200089 (PROBIty)
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.