Development of Risk Score Model and Decision Tree Algorithm for Predicting Infections With CRKp in Colonized Patients
DETERMINE
1 other identifier
observational
520
1 country
1
Brief Summary
DETERMINE trial is a prospective multicenter multinational cohort study. This study will be carried out to predict the risk of bloodstream infections (BSIs) or other types of invasive infection with carbapenem resistant K.pneumoniae in patients being colonized by CRKp. The results of DETERMINE trial would be quite important to prevent unnecessary coverage of carbapenem resistant Klebsiella pneumoniae in empirical treatment of colonized patients. In this study, both risk score model and decision tree algorithm will be constructed and compared with each other in terms of sensitivity, specificity, positive predictive value and negative predictive value.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Apr 2020
1 active site
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
January 4, 2020
CompletedFirst Posted
Study publicly available on registry
January 18, 2020
CompletedStudy Start
First participant enrolled
April 1, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 1, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
November 1, 2021
CompletedJanuary 18, 2020
January 1, 2020
1 year
January 4, 2020
January 12, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The factors that are associated with the development of subsequent BSI or other types of invasive infection with CRKp in CRKp carriers.
The independent risk factors (eg. presence of central venous catheter and presence of absolute neutropenia) for development of BSI or other invasive infections wtihin 90-days follow-up in CRKp carriers will be analyzed by constructing mutli-variate logistic regression analysis model.
90-day
Secondary Outcomes (2)
Calculation of sensitivity and specificity rates, positive and negative predictive values of risk score model.
90-day
Calculation of sensitivity and specificity rates, positive and negative predictive values of decision tree algorithm.
90-days
Study Arms (3)
Infection caused by CRKp
Group 1 cases are constituted by one BSI episode or non-bactereamic invasive infection episode (eg. pneumonia, intra-abdominal infection or urinary tract infection) with CRKp and a positive rectal swab screening or invasive infection (e.g. pneumonia, urinary tract infection and BSI) with CRKp within 90 days before identification of index BSI or other invasive infection with CRKp
Infection caused by any other bacteria
Group 2 cases who are colonized with CRKp or had invasive infection (e.g. pneumonia, urinary tract infection and BSI) with CRKp within 90 days before identification of index BSI or other types of invasive infection with any bacteria other than CRKp and develop subsequent BSI or non-bactereamic invasive infection with these bacteria
No infection
Group 3 cases involve the colonized patients with CRKp who do not develop subsequent BSI or other invasive infections with CRKp or any other bacteria
Interventions
Detection of CRKp colonization will be performed in all participants by sceening with rectal swab
Eligibility Criteria
All adult (≥18 years) patients having rectal colonization or history of previous invasive infection with CRKp within previous 90 days of index invasive infection
You may qualify if:
- All adult (≥18 years) patients having rectal colonization or history of previous invasive infection with CRKp
- Group 1 cases are constituted by one BSI episode or non-bactereamic invasive infection episode (eg. pneumonia, intra-abdominal infection or urinary tract infection) with CRKp and a positive rectal swab screening or invasive infection (e.g. pneumonia, urinary tract infection and BSI) with CRKp within 90 days before identification of index BSI or other invasive infection with CRKp
- Group 2 cases who are colonized with CRKp or had invasive infection (e.g. pneumonia, urinary tract infection and BSI) with CRKp within 90 days before identification of index BSI or other types of invasive infection with any bacteria other than CRKp and develop subsequent BSI or non-bactereamic invasive infection with these bacteria
- Group 3 cases involve the colonized patients with CRKp who do not develop subsequent BSI or other invasive infections with CRKp or any other bacteria
You may not qualify if:
- \<18 years old patients
- Palliative patients
- Pregnant and breast-feeding patients
- Patients who cannot be followed through 90-days.
- Patients who are de-colonized with antibiotics, prebiotics-probiotics or fecal microbiota transplantation
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Abdullah Tarık Aslan
Ankara, 06100, Turkey (Türkiye)
Related Publications (7)
Viale P, Giannella M, Lewis R, Trecarichi EM, Petrosillo N, Tumbarello M. Predictors of mortality in multidrug-resistant Klebsiella pneumoniae bloodstream infections. Expert Rev Anti Infect Ther. 2013 Oct;11(10):1053-63. doi: 10.1586/14787210.2013.836057. Epub 2013 Sep 27.
PMID: 24073806BACKGROUNDNguyen M, Eschenauer GA, Bryan M, O'Neil K, Furuya EY, Della-Latta P, Kubin CJ. Carbapenem-resistant Klebsiella pneumoniae bacteremia: factors correlated with clinical and microbiologic outcomes. Diagn Microbiol Infect Dis. 2010 Jun;67(2):180-4. doi: 10.1016/j.diagmicrobio.2010.02.001. Epub 2010 Mar 31.
PMID: 20356699BACKGROUNDZarkotou O, Pournaras S, Tselioti P, Dragoumanos V, Pitiriga V, Ranellou K, Prekates A, Themeli-Digalaki K, Tsakris A. Predictors of mortality in patients with bloodstream infections caused by KPC-producing Klebsiella pneumoniae and impact of appropriate antimicrobial treatment. Clin Microbiol Infect. 2011 Dec;17(12):1798-803. doi: 10.1111/j.1469-0691.2011.03514.x. Epub 2011 May 20.
PMID: 21595793BACKGROUNDQureshi ZA, Paterson DL, Potoski BA, Kilayko MC, Sandovsky G, Sordillo E, Polsky B, Adams-Haduch JM, Doi Y. Treatment outcome of bacteremia due to KPC-producing Klebsiella pneumoniae: superiority of combination antimicrobial regimens. Antimicrob Agents Chemother. 2012 Apr;56(4):2108-13. doi: 10.1128/AAC.06268-11. Epub 2012 Jan 17.
PMID: 22252816BACKGROUNDBonten MJ, Weinstein RA. The role of colonization in the pathogenesis of nosocomial infections. Infect Control Hosp Epidemiol. 1996 Mar;17(3):193-200. doi: 10.1086/647274.
PMID: 8708364BACKGROUNDMadueno A, Gonzalez Garcia J, Aguirre-Jaime A, Lecuona M. A hospital-based matched case-control study to identify risk factors for clinical infection with OXA-48-producing Klebsiella pneumoniae in rectal carriers. Epidemiol Infect. 2017 Sep;145(12):2626-2630. doi: 10.1017/S095026881700142X. Epub 2017 Jul 17.
PMID: 28712369BACKGROUNDGiannella M, Trecarichi EM, De Rosa FG, Del Bono V, Bassetti M, Lewis RE, Losito AR, Corcione S, Saffioti C, Bartoletti M, Maiuro G, Cardellino CS, Tedeschi S, Cauda R, Viscoli C, Viale P, Tumbarello M. Risk factors for carbapenem-resistant Klebsiella pneumoniae bloodstream infection among rectal carriers: a prospective observational multicentre study. Clin Microbiol Infect. 2014 Dec;20(12):1357-62. doi: 10.1111/1469-0691.12747. Epub 2014 Aug 11.
PMID: 24980276BACKGROUND
Biospecimen
Rectal swab samples for identification of colonization with CRKp Blood culture or other site culture samples for molecular and microbiological analysis
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Abdullah T Aslan, Dr.
Hacettepe University
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 4, 2020
First Posted
January 18, 2020
Study Start
April 1, 2020
Primary Completion
April 1, 2021
Study Completion
November 1, 2021
Last Updated
January 18, 2020
Record last verified: 2020-01
Data Sharing
- IPD Sharing
- Will not share
Any data of participants will be shared with other investigators except the data of their patients