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Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis.
Taneja, Ishan; Reddy, Bobby; Damhorst, Gregory; Dave Zhao, Sihai; Hassan, Umer; Price, Zachary; Jensen, Tor; Ghonge, Tanmay; Patel, Manish; Wachspress, Samuel; Winter, Jackson; Rappleye, Michael; Smith, Gillian; Healey, Ryan; Ajmal, Muhammad; Khan, Muhammad; Patel, Jay; Rawal, Harsh; Sarwar, Raiya; Soni, Sumeet; Anwaruddin, Syed; Davis, Benjamin; Kumar, James; White, Karen; Bashir, Rashid; Zhu, Ruoqing.
Afiliación
  • Taneja I; Department of Bioengineering, University of Illinois at Urbana Champaign, 1270 Digital Computer Laboratory, 1304W, Springfield Ave., 61801, Urbana, IL, USA.
  • Reddy B; Biomedical Research Center, Carle Foundation Hospital, 61801, Urbana, IL, USA.
  • Damhorst G; Prenosis Inc., 210 Hazelwood Drive, Suite 103, 61822, Champaign, IL, USA.
  • Dave Zhao S; Department of Bioengineering, University of Illinois at Urbana Champaign, 1270 Digital Computer Laboratory, 1304W, Springfield Ave., 61801, Urbana, IL, USA.
  • Hassan U; Biomedical Research Center, Carle Foundation Hospital, 61801, Urbana, IL, USA.
  • Price Z; Prenosis Inc., 210 Hazelwood Drive, Suite 103, 61822, Champaign, IL, USA.
  • Jensen T; Department of Bioengineering, University of Illinois at Urbana Champaign, 1270 Digital Computer Laboratory, 1304W, Springfield Ave., 61801, Urbana, IL, USA.
  • Ghonge T; Biomedical Research Center, Carle Foundation Hospital, 61801, Urbana, IL, USA.
  • Patel M; Department of Statistics, University of Illinois at Urbana Champaign, Illini Hall, 725S Wright St #101, 61820, Champaign, IL, USA.
  • Wachspress S; Department of Bioengineering, University of Illinois at Urbana Champaign, 1270 Digital Computer Laboratory, 1304W, Springfield Ave., 61801, Urbana, IL, USA.
  • Winter J; Biomedical Research Center, Carle Foundation Hospital, 61801, Urbana, IL, USA.
  • Rappleye M; Department of Bioengineering, University of Illinois at Urbana Champaign, 1270 Digital Computer Laboratory, 1304W, Springfield Ave., 61801, Urbana, IL, USA.
  • Smith G; Biomedical Research Center, Carle Foundation Hospital, 61801, Urbana, IL, USA.
  • Healey R; Department of Bioengineering, University of Illinois at Urbana Champaign, 1270 Digital Computer Laboratory, 1304W, Springfield Ave., 61801, Urbana, IL, USA.
  • Ajmal M; Biomedical Research Center, Carle Foundation Hospital, 61801, Urbana, IL, USA.
  • Khan M; Department of Bioengineering, University of Illinois at Urbana Champaign, 1270 Digital Computer Laboratory, 1304W, Springfield Ave., 61801, Urbana, IL, USA.
  • Patel J; Biomedical Research Center, Carle Foundation Hospital, 61801, Urbana, IL, USA.
  • Rawal H; Department of Bioengineering, University of Illinois at Urbana Champaign, 1270 Digital Computer Laboratory, 1304W, Springfield Ave., 61801, Urbana, IL, USA.
  • Sarwar R; Biomedical Research Center, Carle Foundation Hospital, 61801, Urbana, IL, USA.
  • Soni S; Department of Bioengineering, University of Illinois at Urbana Champaign, 1270 Digital Computer Laboratory, 1304W, Springfield Ave., 61801, Urbana, IL, USA.
  • Anwaruddin S; Biomedical Research Center, Carle Foundation Hospital, 61801, Urbana, IL, USA.
  • Davis B; Prenosis Inc., 210 Hazelwood Drive, Suite 103, 61822, Champaign, IL, USA.
  • Kumar J; Department of Bioengineering, University of Illinois at Urbana Champaign, 1270 Digital Computer Laboratory, 1304W, Springfield Ave., 61801, Urbana, IL, USA.
  • White K; Biomedical Research Center, Carle Foundation Hospital, 61801, Urbana, IL, USA.
  • Bashir R; Prenosis Inc., 210 Hazelwood Drive, Suite 103, 61822, Champaign, IL, USA.
  • Zhu R; Department of Bioengineering, University of Illinois at Urbana Champaign, 1270 Digital Computer Laboratory, 1304W, Springfield Ave., 61801, Urbana, IL, USA.
Sci Rep ; 7(1): 10800, 2017 09 07.
Article en En | MEDLINE | ID: mdl-28883645
Sepsis is a leading cause of death and is the most expensive condition to treat in U.S. hospitals. Despite targeted efforts to automate earlier detection of sepsis, current techniques rely exclusively on using either standard clinical data or novel biomarker measurements. In this study, we apply machine learning techniques to assess the predictive power of combining multiple biomarker measurements from a single blood sample with electronic medical record data (EMR) for the identification of patients in the early to peak phase of sepsis in a large community hospital setting. Combining biomarkers and EMR data achieved an area under the receiver operating characteristic (ROC) curve (AUC) of 0.81, while EMR data alone achieved an AUC of 0.75. Furthermore, a single measurement of six biomarkers (IL-6, nCD64, IL-1ra, PCT, MCP1, and G-CSF) yielded the same predictive power as collecting an additional 16 hours of EMR data(AUC of 0.80), suggesting that the biomarkers may be useful for identifying these patients earlier. Ultimately, supervised learning using a subset of biomarker and EMR data as features may be capable of identifying patients in the early to peak phase of sepsis in a diverse population and may provide a tool for more timely identification and intervention.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores / Técnicas de Apoyo para la Decisión / Sepsis / Registros Electrónicos de Salud / Aprendizaje Automático Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Sci Rep Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores / Técnicas de Apoyo para la Decisión / Sepsis / Registros Electrónicos de Salud / Aprendizaje Automático Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Sci Rep Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido