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Dive into the research topics where Lauren P. Knelson is active.

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Featured researches published by Lauren P. Knelson.


The Lancet | 2017

Enhanced terminal room disinfection and acquisition and infection caused by multidrug-resistant organisms and Clostridium difficile (the Benefits of Enhanced Terminal Room Disinfection study): a cluster-randomised, multicentre, crossover study

Deverick J. Anderson; Luke F. Chen; David J. Weber; Rebekah W. Moehring; Sarah S. Lewis; Patricia F Triplett; Michael Blocker; Paul Becherer; J Conrad Schwab; Lauren P. Knelson; Yuliya Lokhnygina; William A. Rutala; Hajime Kanamori; Maria F. Gergen; Daniel J. Sexton

BACKGROUND Patients admitted to hospital can acquire multidrug-resistant organisms and Clostridium difficile from inadequately disinfected environmental surfaces. We determined the effect of three enhanced strategies for terminal room disinfection (disinfection of a room between occupying patients) on acquisition and infection due to meticillin-resistant Staphylococcus aureus, vancomycin-resistant enterococci, C difficile, and multidrug-resistant Acinetobacter. METHODS We did a pragmatic, cluster-randomised, crossover trial at nine hospitals in the southeastern USA. Rooms from which a patient with infection or colonisation with a target organism was discharged were terminally disinfected with one of four strategies: reference (quaternary ammonium disinfectant except for C difficile, for which bleach was used); UV (quaternary ammonium disinfectant and disinfecting ultraviolet [UV-C] light except for C difficile, for which bleach and UV-C were used); bleach; and bleach and UV-C. The next patient admitted to the targeted room was considered exposed. Every strategy was used at each hospital in four consecutive 7-month periods. We randomly assigned the sequence of strategies for each hospital (1:1:1:1). The primary outcomes were the incidence of infection or colonisation with all target organisms among exposed patients and the incidence of C difficile infection among exposed patients in the intention-to-treat population. This trial is registered with ClinicalTrials.gov, NCT01579370. FINDINGS 31 226 patients were exposed; 21 395 (69%) met all inclusion criteria, including 4916 in the reference group, 5178 in the UV group, 5438 in the bleach group, and 5863 in the bleach and UV group. 115 patients had the primary outcome during 22 426 exposure days in the reference group (51·3 per 10 000 exposure days). The incidence of target organisms among exposed patients was significantly lower after adding UV to standard cleaning strategies (n=76; 33·9 cases per 10 000 exposure days; relative risk [RR] 0·70, 95% CI 0·50-0·98; p=0·036). The primary outcome was not statistically lower with bleach (n=101; 41·6 cases per 10 000 exposure days; RR 0·85, 95% CI 0·69-1·04; p=0·116), or bleach and UV (n=131; 45·6 cases per 10 000 exposure days; RR 0·91, 95% CI 0·76-1·09; p=0·303) among exposed patients. Similarly, the incidence of C difficile infection among exposed patients was not changed after adding UV to cleaning with bleach (n=38 vs 36; 30·4 cases vs 31·6 cases per 10 000 exposure days; RR 1·0, 95% CI 0·57-1·75; p=0·997). INTERPRETATION A contaminated health-care environment is an important source for acquisition of pathogens; enhanced terminal room disinfection decreases this risk. FUNDING US Centers for Disease Control and Prevention.


Infection Control and Hospital Epidemiology | 2013

Comparison of Non-Intensive Care Unit (ICU) versus ICU Rates of Catheter-Associated Urinary Tract Infection in Community Hospitals

Sarah S. Lewis; Lauren P. Knelson; Rebekah W. Moehring; Luke F. Chen; Daniel J. Sexton; Deverick J. Anderson

We describe and compare the epidemiology of catheter-associated urinary tract infection (CAUTI) occurring in non-intensive care unit (ICU) versus ICU wards in a network of community hospitals over a 2-year period. Overall, 72% of cases of CAUTI occurred in non-ICU patients, which indicates that this population is an important target for dedicated surveillance and prevention efforts.


Infection Control and Hospital Epidemiology | 2014

A Comparison of Environmental Contamination by Patients Infected or Colonized with Methicillin-Resistant Staphylococcus aureus or Vancomycin-Resistant Enterococci: A Multicenter Study

Lauren P. Knelson; David Williams; Maria F. Gergen; William A. Rutala; David J. Weber; Daniel J. Sexton; Deverick J. Anderson

A total of 1,023 environmental surfaces were sampled from 45 rooms with patients infected or colonized with methicillin-resistant Staphylococcus aureus (MRSA) or vancomycin-resistant enterococci (VRE) before terminal room cleaning. Colonized patients had higher median total target colony-forming units (CFU) of MRSA or VRE than did infected patients (median, 25 CFU [interquartile range, 0-106 CFU] vs 0 CFU [interquartile range, 0-29 CFU]; P = .033).


PLOS ONE | 2017

Identification of novel risk factors for community-acquired Clostridium difficile infection using spatial statistics and geographic information system analyses.

Deverick J. Anderson; Leoncio Flavio Rojas; Shera Watson; Lauren P. Knelson; S Pruitt; Sarah S. Lewis; Rebekah W. Moehring; Ee Sickbert Bennett; David J. Weber; Luke Francis Chen; Daniel J. Sexton; Cdc Prevention Epicenters Program

Background The rate of community-acquired Clostridium difficile infection (CA-CDI) is increasing. While receipt of antibiotics remains an important risk factor for CDI, studies related to acquisition of C. difficile outside of hospitals are lacking. As a result, risk factors for exposure to C. difficile in community settings have been inadequately studied. Main objective To identify novel environmental risk factors for CA-CDI Methods We performed a population-based retrospective cohort study of patients with CA-CDI from 1/1/2007 through 12/31/2014 in a 10-county area in central North Carolina. 360 Census Tracts in these 10 counties were used as the demographic Geographic Information System (GIS) base-map. Longitude and latitude (X, Y) coordinates were generated from patient home addresses and overlaid to Census Tracts polygons using ArcGIS; ArcView was used to assess “hot-spots” or clusters of CA-CDI. We then constructed a mixed hierarchical model to identify environmental variables independently associated with increased rates of CA-CDI. Results A total of 1,895 unique patients met our criteria for CA-CDI. The mean patient age was 54.5 years; 62% were female and 70% were Caucasian. 402 (21%) patient addresses were located in “hot spots” or clusters of CA-CDI (p<0.001). “Hot spot” census tracts were scattered throughout the 10 counties. After adjusting for clustering and population density, age ≥ 60 years (p = 0.03), race (<0.001), proximity to a livestock farm (0.01), proximity to farming raw materials services (0.02), and proximity to a nursing home (0.04) were independently associated with increased rates of CA-CDI. Conclusions Our study is the first to use spatial statistics and mixed models to identify important environmental risk factors for acquisition of C. difficile and adds to the growing evidence that farm practices may put patients at risk for important drug-resistant infections.


Open Forum Infectious Diseases | 2015

An Automated Surveillance Strategy to Identify Infectious Complications After Cardiac Implantable Electronic Device Procedures.

Joel C. Boggan; Arthur W. Baker; Sarah S. Lewis; Kristen V. Dicks; Michael J. Durkin; Rebekah W. Moehring; Luke F. Chen; Lauren P. Knelson; Donald D. Hegland; Deverick J. Anderson

Background.  The optimum approach for infectious complication surveillance for cardiac implantable electronic device (CIED) procedures is unclear. We created an automated surveillance tool for infectious complications after CIED procedures. Methods.  Adults having CIED procedures between January 1, 2005 and December 31, 2011 at Duke University Hospital were identified retrospectively using International Classification of Diseases, 9th revision (ICD-9) procedure codes. Potential infections were identified with combinations of ICD-9 diagnosis codes and microbiology data for 365 days postprocedure. All microbiology-identified and a subset of ICD-9 code-identified possible cases, as well as a subset of procedures without microbiology or ICD-9 codes, were reviewed. Test performance characteristics for specific queries were calculated. Results.  Overall, 6097 patients had 7137 procedures. Of these, 1686 procedures with potential infectious complications were identified: 174 by both ICD-9 code and microbiology, 14 only by microbiology, and 1498 only by ICD-9 criteria. We reviewed 558 potential cases, including all 188 microbiology-identified cases, 250 randomly selected ICD-9 cases, and 120 with neither. Overall, 65 unique infections were identified, including 5 of 250 reviewed cases identified only by ICD-9 codes. Queries that included microbiology data and ICD-9 code 996.61 had good overall test performance, with sensitivities of approximately 90% and specificities of approximately 80%. Queries with ICD-9 codes alone had poor specificity. Extrapolation of reviewed infectious rates to nonreviewed cases yields an estimated rate of infection of 1.3%. Conclusions.  Electronic queries with combinations of ICD-9 codes and microbiologic data can be created and have good test performance characteristics for identifying likely infectious complications of CIED procedures.


Infection Control and Hospital Epidemiology | 2018

Implementation Lessons Learned from the Benefits of Enhanced Terminal Room (BETR) Disinfection Study: Process and Perceptions of Enhanced Disinfection with Ultraviolet Disinfection Devices

Deverick J. Anderson; Lauren P. Knelson; Rebekah W. Moehring; Sarah S. Lewis; David J. Weber; Luke F. Chen; Patricia F Triplett; Michael Blocker; R. Marty Cooney; J Conrad Schwab; Yuliya Lokhnygina; William A. Rutala; Daniel J. Sexton

OBJECTIVE To summarize and discuss logistic and administrative challenges we encountered during the Benefits of Enhanced Terminal Room (BETR) Disinfection Study and lessons learned that are pertinent to future utilization of ultraviolet (UV) disinfection devices in other hospitals DESIGN Multicenter cluster randomized trial SETTING AND PARTICIPANTS Nine hospitals in the southeastern United States METHODS All participating hospitals developed systems to implement 4 different strategies for terminal room disinfection. We measured compliance with disinfection strategy, barriers to implementation, and perceptions from nurse managers and environmental services (EVS) supervisors throughout the 28-month trial. RESULTS Implementation of enhanced terminal disinfection with UV disinfection devices provides unique challenges, including time pressures from bed control personnel, efficient room identification, negative perceptions from nurse managers, and discharge volume. In the course of the BETR Disinfection Study, we utilized several strategies to overcome these barriers: (1) establishing safety as the priority; (2) improving communication between EVS, bed control, and hospital administration; (3) ensuring availability of necessary resources; and (4) tracking and providing feedback on compliance. Using these strategies, we deployed ultraviolet (UV) disinfection devices in 16,220 (88%) of 18,411 eligible rooms during our trial (median per hospital, 89%; IQR, 86%-92%). CONCLUSIONS Implementation of enhanced terminal room disinfection strategies using UV devices requires recognition and mitigation of 2 key barriers: (1) timely and accurate identification of rooms that would benefit from enhanced terminal disinfection and (2) overcoming time constraints to allow EVS cleaning staff sufficient time to properly employ enhanced terminal disinfection methods. TRIAL REGISTRATION Clinical trials identifier: NCT01579370 Infect Control Hosp Epidemiol 2018;39:157-163.


Lancet Infectious Diseases | 2018

Effectiveness of targeted enhanced terminal room disinfection on hospital-wide acquisition and infection with multidrug-resistant organisms and Clostridium difficile: a secondary analysis of a multicentre cluster randomised controlled trial with crossover design (BETR Disinfection)

Deverick J. Anderson; Rebekah W. Moehring; David J. Weber; Sarah S. Lewis; Luke F. Chen; J Conrad Schwab; Paul Becherer; Michael Blocker; Patricia F Triplett; Lauren P. Knelson; Yuliya Lokhnygina; William A. Rutala; Daniel J. Sexton

BACKGROUND The hospital environment is a source of pathogen transmission. The effect of enhanced disinfection strategies on the hospital-wide incidence of infection has not been investigated in a multicentre, randomised controlled trial. We aimed to assess the effectiveness of four disinfection strategies on hospital-wide incidence of multidrug-resistant organisms and Clostridium difficile in the Benefits of Enhanced Terminal Room (BETR) Disinfection study. METHODS We did a prespecified secondary analysis of the results from the BETR Disinfection study, a pragmatic, multicentre, crossover cluster-randomised trial that assessed four different strategies for terminal room disinfection in nine hospitals in the southeastern USA. Rooms from which a patient with a specific infection or colonisation (due to the target organisms C difficile, meticillin-resistant Staphylococcus aureus, vancomycin-resistant enterococci (VRE), or multidrug-resistant Acinetobacter spp) was discharged were terminally disinfected with one of four strategies: standard disinfection (quaternary ammonium disinfectant, except for C difficile, for which 10% hypochlorite [bleach] was used; reference); standard disinfection and disinfecting ultraviolet light (UV-C), except for C difficile, for which bleach and UV-C was used (UV strategy); 10% hypochlorite (bleach strategy); and bleach and UV-C (bleach and UV strategy). We randomly assigned the sequence of strategies for each hospital (1:1:1:1), and each strategy was used for 7 months, including a 1-month wash-in period and 6 months of data collection. The prespecified secondary outcomes were hospital-wide, hospital-acquired incidence of all target organisms (calculated as number of patients with hospital-acquired infection with a target organism per 10 000 patient days), and hospital-wide, hospital-acquired incidence of each target organism separately. BETR Disinfection is registered with ClinicalTrials.gov, number NCT01579370. FINDINGS Between April, 2012, and July, 2014, there were 271 740 unique patients with 375 918 admissions. 314 610 admissions met all inclusion criteria (n=73 071 in the reference study period, n=81 621 in the UV study period, n=78 760 in the bleach study period, and n=81 158 in the bleach and UV study period). 2681 incidenct cases of hospital-acquired infection or colonisation occurred during the study. There was no significant difference in the hospital-wide risk of target organism acquisition between standard disinfection and the three enhanced terminal disinfection strategies for all target multidrug-resistant organisms (UV study period relative risk [RR] 0·89, 95% CI 0·79-1·00; p=0·052; bleach study period 0·92, 0·79-1·08; p=0·32; bleach and UV study period 0·99, 0·89-1·11; p=0·89). The decrease in risk in the UV study period was driven by decreases in risk of acquisition of C difficile (RR 0·89, 95% CI 0·80-0·99; p=0·031) and VRE (0·56, 0·31-0·996; p=0·048). INTERPRETATION Enhanced terminal room disinfection with UV in a targeted subset of high-risk rooms led to a decrease in hospital-wide incidence of C difficile and VRE. Enhanced disinfection overcomes limitations of standard disinfection strategies and is a potential strategy to reduce the risk of acquisition of multidrug-resistant organisms and C difficile. FUNDING US Centers for Disease Control and Prevention.


Infection Control and Hospital Epidemiology | 2017

Self-monitoring by Environmental Services May Not Accurately Measure Thoroughness of Hospital Room Cleaning

Lauren P. Knelson; Gemila Ramadanovic; Luke F. Chen; Rebekah W. Moehring; Sarah S. Lewis; William A. Rutala; David J. Weber; Daniel J. Sexton; Deverick J. Anderson

1. Haley RW, Quade D, Freeman HE, Bennett JV. Appendix B: design of the preliminary screening questionnaire and specifications for computing indexes of surveillance and control. Am J Epidemiol 1980;111:613–621. 2. Haley RW, Culver DH, White JW, et al. The efficacy of infection surveillance and control programs in preventing nosocomial infections in US hospitals. Am J Epidemiol 1985; 121:182–205. 3. Stone PW, Dick A, Pogorzelka M, Horan TC, Furuya EY, Larson E. Staffing and structure of infection prevention and control programs. Am J Infect Control 2009;37:351–357. 4. Stone PW, Pogorzelska M, Kunches L, Hirschhorn LR. hospital staffing and health care–associated infections: a systematic review of the literature. Clin Infect Dis 2008;47:937–944. 5. About APIC. Association for Professionals in Infection Control and Epidemiology website. http://www.apic.org/ProfessionalPractice/Infection_preventionist_IP_competency_model. Accessed November 25, 2016. 6. Saint S, Greene MT, Olmsted RN, et al. Perceived strength of evidence supporting practices to prevent health care-associated infection: results from a national survey of infection prevention personnel. Am J Infect Control 2013;41:100–106. 7. Pogorzelska M, Stone PW, Larson EL. Wide variation in adoption of screening and infection control interventions for multidrugresistant organisms: a national study. Am J Infect Control 2012;40: 696–700. 8. Hospital Compare Datasets. Centers for Medicare and Medicaid Services website. https://data.medicare.gov/data/hospital-compare. Updated 2017. Accessed August 3, 2017. 9. Illinois Hospital Report Card and Consumer Guide to Health Care. Illinois Department of Public Health website. http://www.healthcarereportcard.illinois.gov/. Accessed June 29, 2016. 10. Rajaram R, Chung JW, Kinnier CV, et al. Hospital characteristics associated with penalties in the Centers for Medicare & Medicaid Services Hospital-Acquired Condition Reduction Program. JAMA 2015 Jul 28;314:375–383. Self-monitoring by Environmental Services May Not Accurately Measure Thoroughness of Hospital Room Cleaning


Infection Control and Hospital Epidemiology | 2018

Enhanced disinfection leads to reduction of microbial contamination and a decrease in patient colonization and infection

William A. Rutala; Hajime Kanamori; Maria F. Gergen; Lauren P. Knelson; Emily E. Sickbert-Bennett; Luke F. Chen; Deverick J. Anderson; Daniel J. Sexton; David J. Weber

In this prospective study, we monitored 4 epidemiologically important pathogens (EIPs): methicillin-resistane Staphylococcus aureus (MRSA), vancomycin-resistant enterococci (VRE), Clostridium difficile, and multidrug-resistant (MDR) Acinetobacter to assess the effectiveness of 3 enhanced disinfection strategies for terminal room disinfection against standard practice. Our data demonstrated that a decrease in room contamination with EIPs of 94% was associated with a 35% decrease in subsequent patient colonization and/or infection.


Open Forum Infectious Diseases | 2014

912Assessment of Automated Surveillance Strategies to Identify Infectious Complications Following Implanted Cardiac Device Procedures

Joel C. Boggan; Arthur W. Baker; Kristen V. Dicks; Michael J. Durkin; Sarah S. Lewis; Rebekah W. Moehring; Luke F. Chen; Lauren P. Knelson; Deverick J. Anderson

Infectious Complications Following Implanted Cardiac Device Procedures Joel C. Boggan, MD, MPH; Arthur W. Baker, MD; Kristen V. Dicks, MD; Michael J. Durkin, MD; Sarah S. Lewis, MD; Rebekah W. Moehring, MD, MPH; Luke F. Chen, MBBS, MPH, CIC, FRACP; Lauren Knelson, MSPH; Deverick J. Anderson, MD, MPH, FSHEA; Medicine, Durham Veterans Affairs Medical Center, Durham, NC; Department of Medicine, Duke University Medical Center, Durham, NC; Duke University Medical Center, Durham, NC; Division of Infectious Diseases, Duke University Medical Center, Durham, NC; Duke University CDC Prevention Epicenter Program, Durham, NC

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David J. Weber

University of North Carolina at Chapel Hill

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William A. Rutala

University of North Carolina at Chapel Hill

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Maria F. Gergen

University of North Carolina at Chapel Hill

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Hajime Kanamori

University of North Carolina at Chapel Hill

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