Length of stay and mortality associated with healthcare-associated urinary tract infections: a multi-state model

Journal of Hospital Infection - Tập 93 - Trang 92-99 - 2016
B.G. Mitchell1,2, J.K. Ferguson3,4,5, M. Anderson1, J. Sear1, A. Barnett6
1Faculty of Arts, Nursing and Theology, Avondale College of Higher Education, Wahroonga, NSW, Australia
2School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Dickson, ACT, Australia
3Infection Prevention Service, Hunter New England Health, John Hunter Hospital, NSW, Australia
4University of New England, Queensland, Australia
5University of Newcastle, Queensland, Australia
6School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia

Tài liệu tham khảo

Gardner, 2014, A point prevalence cross-sectional study of healthcare-associated urinary tract infections in six Australian hospitals, BMJ Open, 4, 10.1136/bmjopen-2014-005099 Zarb, 2012, The European Centre for Disease Prevention and Control (ECDC) pilot point prevalence survey of healthcare-associated infections and antimicrobial use, Euro Surveill, 17, 10.2807/ese.17.46.20316-en Markovic-Denic, 2011, Risk factors for hospital-acquired urinary tract infection: a case–control study, Int Urol Nephrol, 43, 303, 10.1007/s11255-010-9828-2 Gould, 2010, Guideline for prevention of catheter-associated urinary tract infections 2009, Infect Control Hosp Epidemiol, 31, 319, 10.1086/651091 Saint, 2000, Clinical and economic consequences of nosocomial catheter-related bacteriuria, Am J Infect Control, 28, 68, 10.1016/S0196-6553(00)90015-4 Mitchell, 2014, The prolongation of length of stay because of Clostridium difficile infection, Am J Infect Control, 42, 164, 10.1016/j.ajic.2013.07.006 Saint, 2009, Translating health care-associated urinary tract infection prevention research into practice via the bladder bundle, Joint Commission Journal on Quality and Patient Safety/Joint Commission Resources, 35, 449, 10.1016/S1553-7250(09)35062-X Tambyah, 2012, Catheter-associated urinary tract infection, Curr Opin Infect Dis, 25, 365, 10.1097/QCO.0b013e32835565cc Mitchell, 2011, ASID (HICSIG)/AICA Position statement: preventing catheter-associated urinary tract infections in patients, Healthcare Infect, 16, 45, 10.1071/HI11007 Krein, 2014, Preventing catheter-associated urinary tract infection: a happy marriage between implementation and healthier patients, Healthcare Infect, 19, 1, 10.1071/HI13047 Chen, 2014, Clinical characteristics and antimicrobial susceptibility pattern of hospitalised patients with community-acquired urinary tract infections at a regional hospital in Taiwan, Healthcare Infect, 19, 20, 10.1071/HI13033 Centers for Disease Control and Prevention, 2014 Linhares, 2013, Frequency and antimicrobial resistance patterns of bacteria implicated in community urinary tract infections: a ten-year surveillance study (2000–2009), BMC Infect Dis, 13, 19, 10.1186/1471-2334-13-19 Kahlmeter, 2003, An international survey of the antimicrobial susceptibility of pathogens from uncomplicated urinary tract infections: the ECO·SENS Project, J Antimicrob Chemother, 51, 69, 10.1093/jac/dkg028 Longhi, 2012, Plasmid-mediated fluoroquinolone resistance determinants in Escherichia coli from community uncomplicated urinary tract infection in an area of high prevalence of quinolone resistance, Eur J Clin Microbiol Infect Dis, 31, 1917, 10.1007/s10096-011-1521-6 Sundararajan, 2004, New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality, J Clin Epidemiol, 57, 1288, 10.1016/j.jclinepi.2004.03.012 Gray B. cmprsk: subdistribution analysis of competing risks. R package version 2.2–6; 2013. Beyersmann, 2009, Nosocomial infection, length of stay, and time-dependent bias, Infect Control Hosp Epidemiol, 30, 273, 10.1086/596020 van Walraven, 2004, Time-dependent bias was common in survival analyses published in leading clinical journals, J Clin Epidemiol, 57, 672, 10.1016/j.jclinepi.2003.12.008 Beyersmann, 2008, An easy mathematical proof showed that time-dependent bias inevitably leads to biased effect estimation, J Clin Epidemiol, 61, 1216, 10.1016/j.jclinepi.2008.02.008 Deddens, 2008, Approaches for estimating prevalence ratios, Occup Environ Med, 65, 501, 10.1136/oem.2007.034777 Wolkewitz, 2014, Interpreting and comparing risks in the presence of competing events, BMJ, 349, g5060, 10.1136/bmj.g5060 Isikgoz Tasbakan, 2013, Hospital-acquired urinary tract infection point prevalence in Turkey: differences in risk factors among patient groups, Ann Clin Microbiol Antimicrob, 12, 31, 10.1186/1476-0711-12-31 Girard, 2015, Controlling urinary tract infections associated with intermittent bladder catheterization in geriatric hospitals, J Hosp Infect, 90, 240, 10.1016/j.jhin.2015.02.008 Magill, 2014, Multistate point-prevalence survey of health care-associated infections, N Engl J Med, 370, 1198, 10.1056/NEJMoa1306801 Meddings, 2013, Reducing unnecessary urinary catheter use and other strategies to prevent catheter-associated urinary tract infection: an integrative review, BMJ Qual Safety Gokula, 2004, Inappropriate use of urinary catheters in elderly patients at a midwestern community teaching hospital, Am J Infect Control, 32, 196, 10.1016/j.ajic.2003.08.007 Fakih, 2010, Urinary catheters in the emergency department: very elderly women are at high risk for unnecessary utilization, Am J Infect Control, 38, 683, 10.1016/j.ajic.2010.04.219 Jain, 1995, Overuse of the indwelling urinary tract catheter in hospitalized medical patients, Archs Intern Med, 155, 1425, 10.1001/archinte.1995.00430130115012 Saint, 2000, Are physicians aware of which of their patients have indwelling urinary catheters?, Am J Med, 109, 476, 10.1016/S0002-9343(00)00531-3 Becerra, 2015, A nationwide assessment of the burden of urinary tract infection among renal transplant recipients, J Transplant, 2015, 8 Chant, 2011, Relationship of catheter-associated urinary tract infection to mortality and length of stay in critically ill patients: a systematic review and meta-analysis of observational studies, Crit Care Med, 39, 1167, 10.1097/CCM.0b013e31820a8581 Barnett, 2011, The time-dependent bias and its effect on extra length of stay due to nosocomial infection, Value Health, 14, 381, 10.1016/j.jval.2010.09.008 Barnett, 2010, Excess length of stay due to central line-associated bloodstream infection in intensive care units in Argentina, Brazil, and Mexico, Infect Control Hosp Epidemiol, 31, 1106, 10.1086/653028 Rosenthal, 2011, Time-dependent analysis of length of stay and mortality due to urinary tract infections in ten developing countries: INICC findings, J Infect, 62, 136 Tambyah, 2002, The direct costs of nosocomial catheter-associated urinary tract infection in the era of managed care, Infect Control, 23, 27 Australian Institute of Health and Welfare. Australian hospital statistics 2011–12. In: Welfare AIoHa. Canberra: Australian Government. Cohen-Nahum, 2010, Urinary tract infections caused by multi-drug resistant Proteus mirabilis: risk factors and clinical outcomes, Infection, 38, 41, 10.1007/s15010-009-8460-5 Wilson, 2004, Laboratory diagnosis of urinary tract infections in adult patients, Clin Infect Dis, 38, 1150, 10.1086/383029 Stamm, 1982, Diagnosis of coliform infection in acutely dysuric women, N Engl J Med, 307, 463, 10.1056/NEJM198208193070802