Predictive Ability of Positive Clinical Culture Results and International Classification of Diseases, Ninth Revision, to Identify and Classify Noninvasive Staphylococcus aureus Infections: A Validation Study
- 1 July 2010
- journal article
- research article
- Published by Cambridge University Press (CUP) in Infection Control & Hospital Epidemiology
- Vol. 31 (7) , 694-700
- https://doi.org/10.1086/653206
Abstract
To develop and validate an algorithm to identify and classify noninvasive infections due to Staphylococcus aureus by using positive clinical culture results and administrative data. Retrospective cohort study. Veterans Affairs Maryland Health Care System. Data were collected retrospectively on all S. aureus clinical culture results from samples obtained from nonsterile body sites during October 1998 through September 2008 and associated administrative claims records. An algorithm was developed to identify noninvasive infections on the basis of a unique S. aureus-positive culture result from a nonsterile site sample with a matching International Classification of Diseases, Ninth Revision (ICD-9-CM), code for infection at time of sampling. Medical records of a subset of cases were reviewed to find the proportion of true noninvasive infections (cases that met the Centers for Disease Control and Prevention National Healthcare Safety Network [NHSN] definition of infection). Positive predictive value (PPV) and negative predictive value (NPV) were calculated for all infections and according to body site of infection. We identified 4,621 unique S. aureus-positive culture results, of which 2,816 (60.9%) results met our algorithm definition of noninvasive S. aureus infection and 1,805 (39.1%) results lacked a matching ICD-9-CM code. Among 96 cases that met our algorithm criteria for noninvasive S. aureus infection, 76 also met the NHSN criteria (PPV, 79.2% [95% confidence interval, 70.0%–86.1%]). Among 98 cases that failed to meet the algorithm criteria, 80 did not meet the NHSN criteria (NPV, 81.6% [95% confidence interval, 72.8%–88.0%]). The PPV of all culture results was 55.4%. The algorithm was most predictive for skin and soft-tissue infections and bone and joint infections. When culture-based surveillance methods are used, the addition of administrative ICD-9-CM codes for infection can increase the PPV of true noninvasive S. aureus infection over the use of positive culture results alone.Keywords
This publication has 19 references indexed in Scilit:
- Introduction: Improving Patient Safety Through Infection Control: A New Healthcare ImperativeInfection Control & Hospital Epidemiology, 2008
- CDC/NHSN surveillance definition of health care–associated infection and criteria for specific types of infections in the acute care settingPublished by Elsevier ,2008
- Hospitalizations and Deaths Caused by Methicillin-ResistantStaphylococcus aureus, United States, 1999–2005Emerging Infectious Diseases, 2007
- National Trends in Staphylococcus aureus Infection Rates: Impact on Economic Burden and Mortality over a 6-Year Period (1998-2003)Clinical Infectious Diseases, 2007
- Skin and Soft Tissue Infections Caused by Methicillin-ResistantStaphylococcus aureusUSA300 CloneEmerging Infectious Diseases, 2007
- ICD-10 codes are a valid tool for identification of pneumonia in hospitalized patients aged ⩾65 yearsEpidemiology and Infection, 2007
- Staphylococcus aureus–associated Skin and Soft Tissue Infections in Ambulatory CareEmerging Infectious Diseases, 2006
- Methicillin-ResistantS. aureusInfections among Patients in the Emergency DepartmentNew England Journal of Medicine, 2006
- On sample size for sensitivity and specificity in prospective diagnostic accuracy studiesStatistics in Medicine, 2004
- Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit.Psychological Bulletin, 1968