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      Discharge diagnoses versus medical record review in the identification of community-acquired sepsis

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          Abstract

          Introduction

          We evaluated the accuracy of hospital discharge diagnoses in the identification of community-acquired sepsis and severe sepsis.

          Methods

          We reviewed 379 serious infection hospitalizations from 2003 to 2012 from the national population-based reasons for geographic and racial differences in stroke (REGARDS) cohort. Through manual review of medical records, we defined criterion-standard community-acquired sepsis events as the presence of a serious infection on hospital presentation with ≥2 systemic inflammatory response syndrome criteria. We also defined criterion-standard community-acquired severe sepsis events as sepsis with >1 sequential organ failure assessment organ dysfunction. For the same hospitalizations, we identified sepsis and severe sepsis events indicated by Martin et al. and Angus et al. International Classifications of Diseases 9th edition discharge diagnoses. We evaluated the diagnostic accuracy of the Martin and Angus criteria for detecting criterion-standard community-acquired sepsis and severe sepsis events.

          Results

          Among the 379 hospitalizations, there were 156 community-acquired sepsis and 122 community-acquired severe sepsis events. Discharge diagnoses identified 55 Martin-sepsis and 89 Angus-severe sepsis events. The accuracy of Martin-sepsis criteria for detecting community-acquired sepsis were: sensitivity 27.6%; specificity 94.6%; positive predictive value (PPV) 78.2%; negative predictive value (NPV) 65.1%. The accuracy of the Angus-severe sepsis criteria for detecting community-acquired severe sepsis were: sensitivity 42.6%; specificity 86.0%; PPV 58.4%; NPV 75.9%. Mortality was higher for Martin-sepsis than community-acquired sepsis (25.5% versus 10.3%, P = 0.006), as well as for Angus-severe sepsis than community-acquired severe sepsis (25.5 versus 11.5%, P = 0.002). Other baseline characteristics were similar between sepsis groups.

          Conclusions

          Hospital discharge diagnoses show good specificity but poor sensitivity for detecting community-acquired sepsis and severe sepsis. While sharing similar baseline subject characteristics as cases identified by hospital record review, discharge diagnoses selected for higher mortality sepsis and severe sepsis cohorts. The epidemiology of a sepsis population may vary with the methods used for sepsis event identification.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13054-015-0771-6) contains supplementary material, which is available to authorized users.

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          Most cited references10

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          Rapid increase in hospitalization and mortality rates for severe sepsis in the United States: a trend analysis from 1993 to 2003.

          To determine recent trends in rates of hospitalization, mortality, and hospital case fatality for severe sepsis in the United States. Trend analysis for the period from 1993 to 2003. U.S. community hospitals from the Nationwide Inpatient Sample that is a 20% stratified sample of all U.S. community hospitals. Subjects of any age with sepsis including severe sepsis who were hospitalized in the United States during the study period. None. Utilizing International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes for septicemia and major organ dysfunction, we identified 8,403,766 patients with sepsis, including 2,857,476 patients with severe sepsis, who were hospitalized in the United States from 1993 to 2003. The percentage of severe sepsis cases among all sepsis cases increased continuously from 25.6% in 1993 to 43.8% in 2003 (p < .001). Age-adjusted rate of hospitalization for severe sepsis grew from 66.8 +/- 0.16 to 132.0 +/- 0.21 per 100,000 population (p < .001). Age-adjusted, population-based mortality rate within these years increased from 30.3 +/- 0.11 to 49.7 +/- 0.13 per 100,000 population (p < .001), whereas hospital case fatality rate fell from 45.8% +/- 0.17% to 37.8% +/- 0.10% (p < .001). During each study year, the rates of hospitalization, mortality, and case fatality increased with age. Hospitalization and mortality rates in males exceeded those in females, but case fatality rate was greater in females. From 1993 to 2003, age-adjusted rates for severe sepsis hospitalization and mortality increased annually by 8.2% (p < .001) and 5.6% (p < .001), respectively, whereas case fatality rate decreased by 1.4% (p < .001). The rate of severe sepsis hospitalization almost doubled during the 11-yr period studied and is considerably greater than has been previously predicted. Mortality from severe sepsis also increased significantly. However, case fatality rates decreased during the same study period.
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            The Reasons for Geographic and Racial Differences in Stroke Study: Objectives and Design

            The REasons for Geographic And Racial Differences in Stroke (REGARDS) Study is a national, population-based, longitudinal study of 30,000 African-American and white adults aged ≧45 years. The objective is to determine the causes for the excess stroke mortality in the Southeastern US and among African-Americans. Participants are randomly sampled with recruitment by mail then telephone, where data on stroke risk factors, sociodemographic, lifestyle, and psychosocial characteristics are collected. Written informed consent, physical and physiological measures, and fasting samples are collected during a subsequent in-home visit. Participants are followed via telephone at 6-month intervals for identification of stroke events. The novel aspects of the REGARDS study allow for the creation of a national cohort to address geographic and ethnic differences in stroke.
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              Identifying patients with severe sepsis using administrative claims: patient-level validation of the angus implementation of the international consensus conference definition of severe sepsis.

              Severe sepsis is a common and costly problem. Although consistently defined clinically by consensus conference since 1991, there have been several different implementations of the severe sepsis definition using ICD-9-CM codes for research. We conducted a single center, patient-level validation of 1 common implementation of the severe sepsis definition, the so-called "Angus" implementation. Administrative claims for all hospitalizations for patients initially admitted to general medical services from an academic medical center in 2009-2010 were reviewed. On the basis of ICD-9-CM codes, hospitalizations were sampled for review by 3 internal medicine-trained hospitalists. Chart reviews were conducted with a structured instrument, and the gold standard was the hospitalists' summary clinical judgment on whether the patient had severe sepsis. Three thousand one hundred forty-six (13.5%) hospitalizations met ICD-9-CM criteria for severe sepsis by the Angus implementation (Angus-positive) and 20,142 (86.5%) were Angus-negative. Chart reviews were performed for 92 randomly selected Angus-positive and 19 randomly-selected Angus-negative hospitalizations. Reviewers had a κ of 0.70. The Angus implementation's positive predictive value was 70.7% [95% confidence interval (CI): 51.2%, 90.5%]. The negative predictive value was 91.5% (95% CI: 79.0%, 100%). The sensitivity was 50.4% (95% CI: 14.8%, 85.7%). Specificity was 96.3% (95% CI: 92.4%, 100%). Two alternative ICD-9-CM implementations had high positive predictive values but sensitivities of <20%. The Angus implementation of the international consensus conference definition of severe sepsis offers a reasonable but imperfect approach to identifying patients with severe sepsis when compared with a gold standard of structured review of the medical chart by trained hospitalists.
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                Author and article information

                Contributors
                hwang@uabmc.edu
                draddis@uab.edu
                johndonnelly@uabmc.edu
                nshapiro@bidmc.harvard.edu
                russellg@uab.edu
                msafford@uab.edu
                jbaddley@uab.edu
                Journal
                Crit Care
                Critical Care
                BioMed Central (London )
                1364-8535
                1466-609X
                16 February 2015
                16 February 2015
                2015
                : 19
                : 1
                : 42
                Affiliations
                [ ]Department of Emergency Medicine, University of Alabama School of Medicine, 619 19th Street South, OHB 251, Birmingham, AL 35249 USA
                [ ]University of Alabama School of Medicine, Birmingham, Alabama USA
                [ ]Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama USA
                [ ]Department of Medicine, Division of Preventive Medicine, University of Alabama School of Medicine, Birmingham, Alabama USA
                [ ]Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts USA
                [ ]Department of Medicine, Division of Infectious Diseases, University of Alabama School of Medicine, Birmingham, Alabama USA
                Article
                771
                10.1186/s13054-015-0771-6
                4340494
                25879803
                0ec1c8c8-07e4-4286-84bf-21ea70e75c52
                © Wang et al.; licensee BioMed Central. 2015

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 31 October 2014
                : 23 January 2015
                Categories
                Research
                Custom metadata
                © The Author(s) 2015

                Emergency medicine & Trauma
                Emergency medicine & Trauma

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