- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03605498
OR PathTrac (Tracking Intra-operative Bacterial Transmission)
February 28, 2019 updated by: Sundara Reddy
An Investigation of Novel Technology to Bring Genomic Analysis to the Patient Bedside to Systematically Track and Report on ESKAPE Bacterial Transmission in Today's Operating Room Environments
Healthcare-associated infections occur frequently and are associated with patient harm.
These infections are becoming more difficult to treat due to antibiotic resistance.
It is important that healthcare facilities take the steps necessary to prevent the spread of resistant bacteria between patients.
Study Overview
Status
Completed
Conditions
Detailed Description
Two patients undergoing sedation in a randomly selected operating room will be evaluated in a serial manner in order to detect transmission of pathogenic bacteria.
Patient care will not change due to their participation in this study; the patients will undergo sedation and surgery according to usual practice.
This study involves taking microbiology cultures from various places in the operating room before and after each procedure.
Cultures will also be taken from the two patients after they are asleep and from their intravenous tubing.
From both patients anesthesiologist, surgeon and their surgical team, cRNA, and nursing staff will also have cultures obtained.
Each cultures will be de-identified and given a study ID number before transport to the research laboratory for microbiological assay.
The patient's medical record will be reviewed for 30 days after surgery to surveil for documentation of a potential hospital acquired infection.
Study Type
Observational
Enrollment (Actual)
83
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Iowa
-
Iowa City, Iowa, United States, 52242
- University of Iowa Hospitals and Clinics
-
-
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 to 105 years (Adult, Older Adult)
Accepts Healthy Volunteers
Yes
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
The study population will be surgical patients requiring peripheral intravenous and/or central venous catheter access and undergoing gynecology/oncology, colorectal, open vascular, total joint or cardiovascular procedures.
Description
Inclusion Criteria:
- At least 18 years of age
- Require peripheral intravenous and/or central venous catheter placement
- Undergoing gynecology/oncology, colorectal, open vascular, total joint or cardiovascular procedures.
Exclusion Criteria:
- Less than 18 years of age
- Does not require peripheral intravenous and/or central venous catheter placement
- Patient refusal to participate
- Incarceration
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
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Identify transmission dynamics of pathogenic bacteria (i.e. Staph aureus).
Time Frame: Intraoperative period
|
Focus on how Staph aureus is transmitted in the operating room by identifying key areas of origin.
|
Intraoperative period
|
|
Intraoperative clonal transmission of Staph aureus.
Time Frame: Intraoperative period
|
Monitor locations throughout the operating room to document clonal transmission from the area of origin.
|
Intraoperative period
|
|
Identify the modes of transmission of pathogenic bacteria ((i.e. Staph aureus).
Time Frame: Intraoperative period
|
If transmission of Staph aureus from the site of origin to another site in the operating room arena is documented, identify the modes of transmission.
|
Intraoperative period
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Monitor for post operative healthcare associated infections.
Time Frame: Up to 30 days following surgery
|
Monitor for the presence or absence of healthcare associated infection after undergoing an operative procedure.
|
Up to 30 days following surgery
|
|
Surveil for molecular links between pathogenic organisms.
Time Frame: Up to 30 days following surgery
|
Seek to identify molecular links between causative organisms of infection and bacteria found in the operating room at the time of surgery.
|
Up to 30 days following surgery
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Sundara Reddy, MBBS, FRCA, University of Iowa
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
- Cheadle WG. Risk factors for surgical site infection. Surg Infect (Larchmt). 2006;7 Suppl 1:S7-11. doi: 10.1089/sur.2006.7.s1-7.
- Vogel TR, Dombrovskiy VY, Lowry SF. Impact of infectious complications after elective surgery on hospital readmission and late deaths in the U.S. Medicare population. Surg Infect (Larchmt). 2012 Oct;13(5):307-11. doi: 10.1089/sur.2012.116. Epub 2012 Oct 19.
- Kirkland KB, Briggs JP, Trivette SL, Wilkinson WE, Sexton DJ. The impact of surgical-site infections in the 1990s: attributable mortality, excess length of hospitalization, and extra costs. Infect Control Hosp Epidemiol. 1999 Nov;20(11):725-30. doi: 10.1086/501572.
- Boucher HW, Talbot GH, Bradley JS, Edwards JE, Gilbert D, Rice LB, Scheld M, Spellberg B, Bartlett J. Bad bugs, no drugs: no ESKAPE! An update from the Infectious Diseases Society of America. Clin Infect Dis. 2009 Jan 1;48(1):1-12. doi: 10.1086/595011.
- Loftus RW, Koff MD, Brown JR, Patel HM, Jensen JT, Reddy S, Ruoff KL, Heard SO, Yeager MP, Dodds TM. The epidemiology of Staphylococcus aureus transmission in the anesthesia work area. Anesth Analg. 2015 Apr;120(4):807-18. doi: 10.1213/ANE.0b013e3182a8c16a.
- Loftus RW, Koff MD, Burchman CC, Schwartzman JD, Thorum V, Read ME, Wood TA, Beach ML. Transmission of pathogenic bacterial organisms in the anesthesia work area. Anesthesiology. 2008 Sep;109(3):399-407. doi: 10.1097/ALN.0b013e318182c855.
- Rowlands J, Yeager MP, Beach M, Patel HM, Huysman BC, Loftus RW. Video observation to map hand contact and bacterial transmission in operating rooms. Am J Infect Control. 2014 Jul;42(7):698-701. doi: 10.1016/j.ajic.2014.02.021.
- Koff MD, Loftus RW, Burchman CC, Schwartzman JD, Read ME, Henry ES, Beach ML. Reduction in intraoperative bacterial contamination of peripheral intravenous tubing through the use of a novel device. Anesthesiology. 2009 May;110(5):978-85. doi: 10.1097/ALN.0b013e3181a06ec3.
- Loftus RW, Muffly MK, Brown JR, Beach ML, Koff MD, Corwin HL, Surgenor SD, Kirkland KB, Yeager MP. Hand contamination of anesthesia providers is an important risk factor for intraoperative bacterial transmission. Anesth Analg. 2011 Jan;112(1):98-105. doi: 10.1213/ANE.0b013e3181e7ce18. Epub 2010 Aug 4.
- Loftus RW, Brown JR, Koff MD, Reddy S, Heard SO, Patel HM, Fernandez PG, Beach ML, Corwin HL, Jensen JT, Kispert D, Huysman B, Dodds TM, Ruoff KL, Yeager MP. Multiple reservoirs contribute to intraoperative bacterial transmission. Anesth Analg. 2012 Jun;114(6):1236-48. doi: 10.1213/ANE.0b013e31824970a2. Epub 2012 Mar 30.
- Loftus RW, Patel HM, Huysman BC, Kispert DP, Koff MD, Gallagher JD, Jensen JT, Rowlands J, Reddy S, Dodds TM, Yeager MP, Ruoff KL, Surgenor SD, Brown JR. Prevention of intravenous bacterial injection from health care provider hands: the importance of catheter design and handling. Anesth Analg. 2012 Nov;115(5):1109-19. doi: 10.1213/ANE.0b013e31826a1016. Epub 2012 Oct 9.
- Loftus RW, Brindeiro BS, Kispert DP, Patel HM, Koff MD, Jensen JT, Dodds TM, Yeager MP, Ruoff KL, Gallagher JD, Beach ML, Brown JR. Reduction in intraoperative bacterial contamination of peripheral intravenous tubing through the use of a passive catheter care system. Anesth Analg. 2012 Dec;115(6):1315-23. doi: 10.1213/ANE.0b013e31826d2aa4. Epub 2012 Nov 9.
- German RR, Lee LM, Horan JM, Milstein RL, Pertowski CA, Waller MN; Guidelines Working Group Centers for Disease Control and Prevention (CDC). Updated guidelines for evaluating public health surveillance systems: recommendations from the Guidelines Working Group. MMWR Recomm Rep. 2001 Jul 27;50(RR-13):1-35; quiz CE1-7.
- Koff MD, Brown JR, Marshall EJ, O'Malley AJ, Jensen JT, Heard SO, Longtine K, O'Neill M, Longtine J, Houston D, Robison C, Moulton E, Patel HM, Loftus RW. Frequency of Hand Decontamination of Intraoperative Providers and Reduction of Postoperative Healthcare-Associated Infections: A Randomized Clinical Trial of a Novel Hand Hygiene System. Infect Control Hosp Epidemiol. 2016 Aug;37(8):888-895. doi: 10.1017/ice.2016.106. Epub 2016 Jun 7.
- World Health Organization. Antimicrobial Resistance. Global Report on Surveillance, WHO. 2014
- Loftus RW, Koff MD, Brown JR, Patel HM, Jensen JT, Reddy S, Ruoff KL, Heard SO, Yeager MP, Dodds TM. The dynamics of Enterococcus transmission from bacterial reservoirs commonly encountered by anesthesia providers. Anesth Analg. 2015 Apr;120(4):827-36. doi: 10.1213/ANE.0000000000000123.
- Loftus RW, Brown JR, Patel HM, Koff MD, Jensen JT, Reddy S, Ruoff KL, Heard SO, Dodds TM, Beach ML, Yeager MP. Transmission dynamics of gram-negative bacterial pathogens in the anesthesia work area. Anesth Analg. 2015 Apr;120(4):819-26. doi: 10.1213/ANE.0000000000000626.
- Mabit C, Marcheix PS, Mounier M, Dijoux P, Pestourie N, Bonnevialle P, Bonnomet F; French Society of Orthopaedic Surgery, Traumatology (SOFCOT). Impact of a surgical site infection (SSI) surveillance program in orthopedics and traumatology. Orthop Traumatol Surg Res. 2012 Oct;98(6):690-5. doi: 10.1016/j.otsr.2012.08.001. Epub 2012 Sep 15.
- Koff MD, Corwin HL, Beach ML, Surgenor SD, Loftus RW. Reduction in ventilator associated pneumonia in a mixed intensive care unit after initiation of a novel hand hygiene program. J Crit Care. 2011 Oct;26(5):489-495. doi: 10.1016/j.jcrc.2010.12.013. Epub 2011 Mar 24.
- Edwards JR, Peterson KD, Mu Y, Banerjee S, Allen-Bridson K, Morrell G, Dudeck MA, Pollock DA, Horan TC. National Healthcare Safety Network (NHSN) report: data summary for 2006 through 2008, issued December 2009. Am J Infect Control. 2009 Dec;37(10):783-805. doi: 10.1016/j.ajic.2009.10.001. No abstract available.
- Zerbino DR, Birney E. Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res. 2008 May;18(5):821-9. doi: 10.1101/gr.074492.107. Epub 2008 Mar 18.
- Perdiz LB, Yokoe DS, Furtado GH, Medeiros EAS. Impact of an Automated Surveillance to Detect Surgical-Site Infections in Patients Undergoing Total Hip and Knee Arthroplasty in Brazil. Infect Control Hosp Epidemiol. 2016 Aug;37(8):991-993. doi: 10.1017/ice.2016.86. Epub 2016 Apr 13.
- Owens CD, Stoessel K. Surgical site infections: epidemiology, microbiology and prevention. J Hosp Infect. 2008 Nov;70 Suppl 2:3-10. doi: 10.1016/S0195-6701(08)60017-1.
- Qureshi ZA, Paterson DL, Pakstis DL, Adams-Haduch JM, Sandkovsky G, Sordillo E, Polsky B, Peleg AY, Bhussar MK, Doi Y. Risk factors and outcome of extended-spectrum beta-lactamase-producing Enterobacter cloacae bloodstream infections. Int J Antimicrob Agents. 2011 Jan;37(1):26-32. doi: 10.1016/j.ijantimicag.2010.09.009. Epub 2010 Nov 13.
- Paryavi E, Stall A, Gupta R, Scharfstein DO, Castillo RC, Zadnik M, Hui E, O'Toole RV. Predictive model for surgical site infection risk after surgery for high-energy lower-extremity fractures: development of the risk of infection in orthopedic trauma surgery score. J Trauma Acute Care Surg. 2013 Jun;74(6):1521-7. doi: 10.1097/TA.0b013e318292158d.
- Arnold C. Outbreak Breakthrough: Using Whole-Genome Sequencing to Control Hospital Infection. Environ Health Perspect. 2015 Nov;123(11):A281-6. doi: 10.1289/ehp.123-A281. No abstract available.
- Rupp ME, Fitzgerald T, Puumala S, Anderson JR, Craig R, Iwen PC, Jourdan D, Keuchel J, Marion N, Peterson D, Sholtz L, Smith V. Prospective, controlled, cross-over trial of alcohol-based hand gel in critical care units. Infect Control Hosp Epidemiol. 2008 Jan;29(1):8-15. doi: 10.1086/524333.
- Moureau NL, Flynn J. Disinfection of Needleless Connector Hubs: Clinical Evidence Systematic Review. Nurs Res Pract. 2015;2015:796762. doi: 10.1155/2015/796762. Epub 2015 May 14.
- Schweizer ML, Chiang HY, Septimus E, Moody J, Braun B, Hafner J, Ward MA, Hickok J, Perencevich EN, Diekema DJ, Richards CL, Cavanaugh JE, Perlin JB, Herwaldt LA. Association of a bundled intervention with surgical site infections among patients undergoing cardiac, hip, or knee surgery. JAMA. 2015 Jun 2;313(21):2162-71. doi: 10.1001/jama.2015.5387.
- Phillips M, Rosenberg A, Shopsin B, Cuff G, Skeete F, Foti A, Kraemer K, Inglima K, Press R, Bosco J. Preventing surgical site infections: a randomized, open-label trial of nasal mupirocin ointment and nasal povidone-iodine solution. Infect Control Hosp Epidemiol. 2014 Jul;35(7):826-32. doi: 10.1086/676872. Epub 2014 May 21.
- Bode LG, Kluytmans JA, Wertheim HF, Bogaers D, Vandenbroucke-Grauls CM, Roosendaal R, Troelstra A, Box AT, Voss A, van der Tweel I, van Belkum A, Verbrugh HA, Vos MC. Preventing surgical-site infections in nasal carriers of Staphylococcus aureus. N Engl J Med. 2010 Jan 7;362(1):9-17. doi: 10.1056/NEJMoa0808939.
- Konvalinka A, Errett L, Fong IW. Impact of treating Staphylococcus aureus nasal carriers on wound infections in cardiac surgery. J Hosp Infect. 2006 Oct;64(2):162-8. doi: 10.1016/j.jhin.2006.06.010. Epub 2006 Aug 23.
- Chen YQ, Hu C, Wang Y. Attributable risk function in the proportional hazards model for censored time-to-event. Biostatistics. 2006 Oct;7(4):515-29. doi: 10.1093/biostatistics/kxj023. Epub 2006 Feb 14.
- Mehrotra DV, Li X, Liu J, Lu K. Analysis of longitudinal clinical trials with missing data using multiple imputation in conjunction with robust regression. Biometrics. 2012 Dec;68(4):1250-9. doi: 10.1111/j.1541-0420.2012.01780.x. Epub 2012 Sep 20.
- Carpenter J, Pocock S, Lamm CJ. Coping with missing data in clinical trials: a model-based approach applied to asthma trials. Stat Med. 2002 Apr 30;21(8):1043-66. doi: 10.1002/sim.1065.
- Raudenbush SW. Hierarchical Linear Models: Applications and Data Analysis Methods. Newbury Park, CA: Sage; 2002.
- Wikler M, Cockerill F, Craig W, Dudley M, Eliopoulos G, Hecht P, Hindler J, Low D, Sheehan D, Tenover F, Turnidge J, Weinstein M, Zimmer B. Clinical and Laboratory Standards Institute: Performance Standards for Antimicrobial Disk Susceptibility Tests; Approved Standard-9th 10th edition. 2009, Wayne, PA, Clinical and Laboratory Standards Institute, 2006, pp M2 M02-A9A10
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)
September 5, 2017
Primary Completion (Actual)
February 12, 2018
Study Completion (Actual)
February 12, 2018
Study Registration Dates
First Submitted
June 8, 2018
First Submitted That Met QC Criteria
July 20, 2018
First Posted (Actual)
July 30, 2018
Study Record Updates
Last Update Posted (Actual)
March 1, 2019
Last Update Submitted That Met QC Criteria
February 28, 2019
Last Verified
February 1, 2019
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 201705826
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
YES
IPD Plan Description
All of the individual participant data collected during the trial, after deidentification will be shared with researchers who provide a methodologically sound proposal, to achieve aims in the approved proposal.
IPD will be available for sharing immediately after publication and ending 5 years following article publication.
IPD Sharing Time Frame
IPD will be available for sharing immediately after publication and ending 5 years following article publication.
IPD Sharing Access Criteria
IPD will be accessible to researchers who provide a methodologically sound proposal, to achieve aims in the approved proposal
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
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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