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Comparison of Sepsis Definitions as Automated Criteria.
Yu, Sean C; Betthauser, Kevin D; Gupta, Aditi; Lyons, Patrick G; Lai, Albert M; Kollef, Marin H; Payne, Philip R O; Michelson, Andrew P.
Afiliación
  • Yu SC; Institute for Informatics, Washington University School of Medicine in St. Louis, St. Louis, MO.
  • Betthauser KD; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO.
  • Gupta A; Department of Pharmacy, Barnes-Jewish Hospital, St. Louis, MO.
  • Lyons PG; Institute for Informatics, Washington University School of Medicine in St. Louis, St. Louis, MO.
  • Lai AM; Division of Pulmonary and Critical Care, Washington University School of Medicine in St. Louis, St. Louis, MO.
  • Kollef MH; Healthcare Innovation Lab, BJC HealthCare and Washington University School of Medicine in St. Louis, St. Louis, MO.
  • Payne PRO; Institute for Informatics, Washington University School of Medicine in St. Louis, St. Louis, MO.
  • Michelson AP; Division of Pulmonary and Critical Care, Washington University School of Medicine in St. Louis, St. Louis, MO.
Crit Care Med ; 49(4): e433-e443, 2021 04 01.
Article en En | MEDLINE | ID: mdl-33591014
OBJECTIVES: Assess the impact of heterogeneity among established sepsis criteria (Sepsis-1, Sepsis-3, Centers for Disease Control and Prevention Adult Sepsis Event, and Centers for Medicare and Medicaid severe sepsis core measure 1) through the comparison of corresponding sepsis cohorts. DESIGN: Retrospective analysis of data extracted from electronic health record. SETTING: Single, tertiary-care center in St. Louis, MO. PATIENTS: Adult, nonsurgical inpatients admitted between January 1, 2012, and January 6, 2018. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: In the electronic health record data, 286,759 encounters met inclusion criteria across the study period. Application of established sepsis criteria yielded cohorts varying in prevalence: Centers for Disease Control and Prevention Adult Sepsis Event (4.4%), Centers for Medicare and Medicaid severe sepsis core measure 1 (4.8%), International Classification of Disease code (7.2%), Sepsis-3 (7.5%), and Sepsis-1 (11.3%). Between the two modern established criteria, Sepsis-3 (n = 21,550) and Centers for Disease Control and Prevention Adult Sepsis Event (n = 12,494), the size of the overlap was 7,763. The sepsis cohorts also varied in time from admission to sepsis onset (hr): Sepsis-1 (2.9), Sepsis-3 (4.1), Centers for Disease Control and Prevention Adult Sepsis Event (4.6), and Centers for Medicare and Medicaid severe sepsis core measure 1 (7.6); sepsis discharge International Classification of Disease code rate: Sepsis-1 (37.4%), Sepsis-3 (40.1%), Centers for Medicare and Medicaid severe sepsis core measure 1 (48.5%), and Centers for Disease Control and Prevention Adult Sepsis Event (54.5%); and inhospital mortality rate: Sepsis-1 (13.6%), Sepsis-3 (18.8%), International Classification of Disease code (20.4%), Centers for Medicare and Medicaid severe sepsis core measure 1 (22.5%), and Centers for Disease Control and Prevention Adult Sepsis Event (24.1%). CONCLUSIONS: The application of commonly used sepsis definitions on a single population produced sepsis cohorts with low agreement, significantly different baseline demographics, and clinical outcomes.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Índice de Severidad de la Enfermedad / Bases de Datos Factuales / Sepsis Tipo de estudio: Diagnostic_studies / Observational_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Crit Care Med Año: 2021 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Índice de Severidad de la Enfermedad / Bases de Datos Factuales / Sepsis Tipo de estudio: Diagnostic_studies / Observational_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Crit Care Med Año: 2021 Tipo del documento: Article