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Colborn KL, Bronsert M, Hammermeister K, Henderson WG, Singh AB, Meguid RA. Identification of urinary tract infections using electronic health record data. Am J Infect Control 2019; 47:371-375. [PMID: 30522837 DOI: 10.1016/j.ajic.2018.10.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 10/13/2018] [Accepted: 10/14/2018] [Indexed: 12/23/2022]
Abstract
BACKGROUND Population ascertainment of postoperative urinary tract infections (UTIs) is time-consuming and expensive, as it often requires manual chart review. Using the American College of Surgeons National Surgical Quality Improvement Program UTI status of patients who underwent an operation at the University of Colorado Hospital, we sought to develop an algorithm for identifying UTIs using data from the electronic health record. METHODS Data were split into training (operations occurring between 2013-2015) and test (operations in 2016) sets. A binomial generalized linear model with an elastic-net penalty was used to fit the model and carry out variables selection. International classification of disease codes, common procedural terminology codes, antibiotics, catheterization, and common procedural terminology-specific UTI event rates were included as predictors. The Youden's J statistic was used to determine the optimal classification threshold. RESULTS Of 6,840 patients, 134 (2.0%) had a UTI. The model achieved 92% specificity, 80% sensitivity, 100% negative predictive value, 16% positive predictive value, and an area under the curve of 0.94 using a decision threshold of 0.03. CONCLUSIONS A model with 14 predictors from the electronic health record identifies UTIs well, and it could be used to scale up UTI surveillance or to estimate the impact of large-scale interventions on UTI rates.
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Affiliation(s)
- Kathryn L Colborn
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO.
| | - Michael Bronsert
- Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO; Department of Surgery, Surgical Outcomes and Applied Research Program, School of Medicine, University of Colorado Anschutz Medical Campus, University of Colorado, Aurora, CO
| | - Karl Hammermeister
- Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO; Department of Surgery, Surgical Outcomes and Applied Research Program, School of Medicine, University of Colorado Anschutz Medical Campus, University of Colorado, Aurora, CO; Department of Cardiology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - William G Henderson
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO; Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO; Department of Surgery, Surgical Outcomes and Applied Research Program, School of Medicine, University of Colorado Anschutz Medical Campus, University of Colorado, Aurora, CO
| | - Abhinav B Singh
- Department of Surgery, Surgical Outcomes and Applied Research Program, School of Medicine, University of Colorado Anschutz Medical Campus, University of Colorado, Aurora, CO
| | - Robert A Meguid
- Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO; Department of Surgery, Surgical Outcomes and Applied Research Program, School of Medicine, University of Colorado Anschutz Medical Campus, University of Colorado, Aurora, CO
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Abrantes-Figueiredo JI, Ross JW, Banach DB. Device Utilization Ratios in Infection Prevention: Process or Outcome Measure? Curr Infect Dis Rep 2018; 20:8. [DOI: 10.1007/s11908-018-0616-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Metersky ML, Eldridge N, Wang Y, Mortensen EM, Meddings J. National trends in the frequency of bladder catheterization and physician-diagnosed catheter-associated urinary tract infections: Results from the Medicare Patient Safety Monitoring System. Am J Infect Control 2017. [PMID: 28625702 DOI: 10.1016/j.ajic.2017.03.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND It is unclear if bladder catheterization and catheter-associated urinary tract infection (CAUTI) rates have changed since the implementation of public reporting in 2011. METHODS We analyzed data from the Medicare Patient Safety Monitoring System, a national, chart abstraction-based surveillance system, for hospitalized adults with a principal discharge diagnosis of heart failure (HF), acute myocardial infarction (AMI), or pneumonia and patients who had undergone certain major surgeries. We assessed bladder catheterization frequency (percentage of patients catheterized) and risk-adjusted CAUTI frequency (percentage of catheterized patients developing CAUTI) from 2009-2014. RESULTS Bladder catheterization frequency declined significantly (6.6% for AMI patients, 8.0% for HF patients, and 5.7% for surgical patients). For pneumonia patients, there was a nonsignificant increase of 1.1%. The risk-adjusted CAUTI rate among AMI patients decreased by 9.7% each year relative to the year before. For surgical patients, the decrease was 9.1% per year. There was no significant decline among HF or pneumonia patients. The overall burden of CAUTI among surgical patients was higher than for the other conditions because surgical patients were more likely to be catheterized. CONCLUSIONS There were statistically significant declines in observed bladder catheterization frequency and adjusted CAUTI frequency in some patient populations between 2009 and 2014.
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Gundlapalli AV, Divita G, Redd A, Carter ME, Ko D, Rubin M, Samore M, Strymish J, Krein S, Gupta K, Sales A, Trautner BW. Detecting the presence of an indwelling urinary catheter and urinary symptoms in hospitalized patients using natural language processing. J Biomed Inform 2017; 71S:S39-S45. [DOI: 10.1016/j.jbi.2016.07.012] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Revised: 06/22/2016] [Accepted: 07/08/2016] [Indexed: 11/26/2022]
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Skelton F, Campbell B, Horwitz D, Krein S, Sales A, Gundlapalli A, Trautner BW. Developing a user-friendly report for electronically assisted surveillance of catheter-associated urinary tract infection. Am J Infect Control 2017; 45:572-574. [PMID: 28456323 PMCID: PMC7499359 DOI: 10.1016/j.ajic.2016.09.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2016] [Revised: 09/13/2016] [Accepted: 09/13/2016] [Indexed: 11/22/2022]
Abstract
Catheter-associated urinary tract infection (CAUTI) surveillance is labor intensive, generally involving manual medical record review. We developed a prototype automated report through iterative design. Surveys and qualitative interviews were administered to key stakeholders to assess the report design. We found that different provider types expressed different needs regarding report content and format. Therefore, determining the primary audience for reporting data on CAUTI a priori is critical to developing useful reports, particularly as this process becomes standardized and automated.
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Affiliation(s)
- Felicia Skelton
- Centers for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veteran Affairs Medical Center, Houston, TX; Baylor College of Medicine, Houston, TX
| | - Bryan Campbell
- Centers for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veteran Affairs Medical Center, Houston, TX
| | - Deborah Horwitz
- Centers for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veteran Affairs Medical Center, Houston, TX; Baylor College of Medicine, Houston, TX
| | - Sarah Krein
- Veteran Affairs Ann Arbor Healthcare System, Ann Arbor, MI; University of Michigan, Ann Arbor, MI
| | - Anne Sales
- Veteran Affairs Ann Arbor Healthcare System, Ann Arbor, MI; University of Michigan, Ann Arbor, MI
| | - Adi Gundlapalli
- University of Utah, Salt Lake City, UT; Veteran Affairs Salt Lake City Health Care System, Salt Lake City, UT
| | - Barbara W Trautner
- Centers for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veteran Affairs Medical Center, Houston, TX; Baylor College of Medicine, Houston, TX.
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Inpatient Urine Cultures Are Frequently Performed Without Urinalysis or Microscopy: Findings From a Large Academic Medical Center. Infect Control Hosp Epidemiol 2017; 38:455-460. [PMID: 28052781 DOI: 10.1017/ice.2016.311] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To describe the frequency of urine cultures performed in inpatients without additional testing for pyuria DESIGN Retrospective cohort study SETTING A 1,250-bed academic tertiary referral center PATIENTS Hospitalized adults METHODS This study included urine cultures drawn on 4 medical and 2 surgical wards from 2009 to 2013 and in the medical and surgical intensive care units (ICUs) from 2012 to 2013. Patient and laboratory data were abstracted from the hospital's medical informatics database. We identified catheter-associated urinary tract infections (CAUTIs) in the ICUs by routine infection prevention surveillance. Cultures without urinalysis or urine microscopy were defined as "isolated." The primary outcome was the proportion of isolated urine cultures obtained. We used multivariable logistic regression to assess predictors of isolated cultures. RESULTS During the study period, 14,743 urine cultures were obtained (63.5 cultures per 1,000 patient days) during 11,820 patient admissions. Of these, 2,973 cultures (20.2%) were isolated cultures. Of the 61 CAUTIs identified, 31 (50.8%) were identified by an isolated culture. Predictors for having an isolated culture included male gender (adjusted odds ratio [aOR], 1.22; 95%; confidence interval [CI], 1.11-1.35], urinary catheterization (aOR, 2.15; 95% CI, 1.89-2.46), ICU admission (medical ICU aOR, 1.72; 95% CI, 1.47-2.00; surgical ICU aOR, 1.82; 95% CI, 1.51-2.19), and obtaining the urine culture ≥1 calendar day after admission (1-7 days aOR, 1.91; 95% CI. 1.71-2.12; >7 days after admission aOR, 2.81; 95% CI, 2.37-3.34). CONCLUSIONS Isolated urine cultures are common in hospitalized patients, particularly in patients with urinary catheters and those in ICUs. Interventions targeting inpatient culturing practices may improve the diagnosis of urinary tract infections. Infect Control Hosp Epidemiol 2017;38:455-460.
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Fakih MG, Gould CV, Trautner BW, Meddings J, Olmsted RN, Krein SL, Saint S. Beyond Infection: Device Utilization Ratio as a Performance Measure for Urinary Catheter Harm. Infect Control Hosp Epidemiol 2016; 37:327-33. [PMID: 26894622 PMCID: PMC6502466 DOI: 10.1017/ice.2015.287] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Catheter-associated urinary tract infection (CAUTI) is considered a reasonably preventable event in the hospital setting, and it has been included in the US Department of Health and Human Services National Action Plan to Prevent Healthcare-Associated Infections. While multiple definitions for measuring CAUTI exist, each has important limitations, and understanding these limitations is important to both clinical practice and policy decisions. The National Healthcare Safety Network (NHSN) surveillance definition, the most frequently used outcome measure for CAUTI prevention efforts, has limited clinical correlation and does not necessarily reflect noninfectious harms related to the catheter. We advocate use of the device utilization ratio (DUR) as an additional performance measure for potential urinary catheter harm. The DUR is patient-centered and objective and is currently captured as part of NHSN reporting. Furthermore, these data are readily obtainable from electronic medical records. The DUR also provides a more direct reflection of improvement efforts focused on reducing inappropriate urinary catheter use.
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Affiliation(s)
- Mohamad G. Fakih
- St. John Hospital and Medical Center, Detroit, Michigan
- Wayne State University School of Medicine, Detroit, Michigan
| | - Carolyn V. Gould
- Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Barbara W. Trautner
- Houston VA Center for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
- Section of Infectious Diseases, Department of Medicine and Department of Surgery, Baylor College of Medicine, Houston, Texas
| | - Jennifer Meddings
- Department of Internal Medicine, Division of General Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Russell N. Olmsted
- Infection Prevention and Control, Unified Clinical Organization, Trinity Health, Livonia, Michigan
| | | | - Sanjay Saint
- VA Ann Arbor Healthcare System, Ann Arbor, Michigan
- Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Michigan
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Denominator doesn't matter: standardizing healthcare-associated infection rates by bed days or device days. Infect Control Hosp Epidemiol 2015; 36:710-6. [PMID: 25782986 DOI: 10.1017/ice.2015.42] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To examine the impact on infection rates and hospital rank for catheter-associated urinary tract infection (CAUTI), central line-associated bloodstream infection (CLABSI), and ventilator-associated pneumonia (VAP) using device days and bed days as the denominator DESIGN Retrospective survey from October 2010 to July 2013 SETTING: Veterans Health Administration medical centers providing acute medical and surgical care PATIENTS Patients admitted to 120 Veterans Health Administration medical centers reporting healthcare-associated infections METHODS We examined the importance of using device days and bed days as the denominator between infection rates and hospital rank for CAUTI, CLABSI, and VAP for each medical center. The relationship between device days and bed days as the denominator was assessed using a Pearson correlation, and changes in infection rates and device utilization were evaluated by an analysis of variance. RESULTS A total of 7.9 million bed days were included. From 2011 to 2013, CAUTI decreased whether measured by device days (2.32 to 1.64, P=.001) or bed days (4.21 to 3.02, P=.006). CLABSI decreased when measured by bed days (1.67 to 1.19, P=.04). VAP rates and device utilization ratios for CAUTI, CLABSI, and VAP were not statistically different across time. Infection rates calculated with device days were strongly correlated with infection rates calculated with bed days (r=0.79-0.94, P<.001). Hospital relative performance measured by ordered rank was also strongly correlated for both denominators (r=0.82-0.96, P<.001). CONCLUSIONS These findings suggest that device days and bed days are equally effective adjustment metrics for comparing healthcare-associated infection rates between hospitals in the setting of stable device utilization.
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Grigoryan L, Abers MS, Kizilbash QF, Petersen NJ, Trautner BW. A comparison of the microbiologic profile of indwelling versus external urinary catheters. Am J Infect Control 2014; 42:682-4. [PMID: 24837121 DOI: 10.1016/j.ajic.2014.02.028] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2014] [Revised: 02/28/2014] [Accepted: 02/28/2014] [Indexed: 10/25/2022]
Abstract
We studied the microbiology reports of urine cultures collected from external (condom catheters) versus indwelling (Foley) catheters. The equal prevalence of Enterobacteriaceae and Enterococci in samples from both catheter types calls into question the practice of switching from indwelling to external catheters to decrease catheter-associated bacteriuria.
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Trautner BW, Grigoryan L. Approach to a positive urine culture in a patient without urinary symptoms. Infect Dis Clin North Am 2013; 28:15-31. [PMID: 24484572 DOI: 10.1016/j.idc.2013.09.005] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Asymptomatic bacteriuria (ASB) is a condition in which bacteria are present in a noncontaminated urine sample collected from a patient without signs or symptoms related to the urinary tract. ASB must be distinguished from symptomatic urinary tract infection (UTI) by the absence of signs and symptoms compatible with UTI or by clinical determination that a nonurinary cause accounts for the patient's symptoms. The overall purpose of this review is to promote an awareness of ASB as a distinct condition from UTI and to empower clinicians to withhold antibiotics in situations in which antimicrobial treatment of bacteriuria is not indicated.
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Affiliation(s)
- Barbara W Trautner
- Department of Medicine, Center for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey Veterans Affairs Medical Center, 2002 Holcombe Boulevard, Houston, TX 77030, USA; Section of Infectious Diseases, Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA.
| | - Larissa Grigoryan
- Department of Family and Community Medicine, Baylor College of Medicine, 3701 Kirby, Houston, TX 77098, USA
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