Your browser doesn't support javascript.
loading
Electronic health record risk score provides earlier prognostication of clinical outcomes in patients admitted to the cardiac intensive care unit.
Kunitomo, Yukiko; Thomas, Alexander; Chouairi, Fouad; Canavan, Maureen E; Kochar, Ajar; Khera, Rohan; Katz, Jason N; Murphy, Christa; Jentzer, Jacob; Ahmad, Tariq; Desai, Nihar R; Brennan, Joseph; Miller, P Elliott.
Afiliação
  • Kunitomo Y; Department of Internal Medicine, Yale School of Medicine, New Haven, CT.
  • Thomas A; Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT.
  • Chouairi F; Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT.
  • Canavan ME; Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale School of Medicine, New Haven, CT.
  • Kochar A; Brigham and Women's Hospital Heart and Vascular Center, Harvard Medical School, Boston, MA.
  • Khera R; Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT; Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, CT.
  • Katz JN; Section of Cardiovascular Medicine, Duke University, Durham, NC.
  • Murphy C; Yale New Haven Hospital, New Haven, CT.
  • Jentzer J; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN.
  • Ahmad T; Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT.
  • Desai NR; Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT.
  • Brennan J; Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT.
  • Miller PE; Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT; Yale National Clinicians Scholar Program, Yale School of Medicine, New Haven, CT. Electronic address: Elliott.Miller@yale.edu.
Am Heart J ; 238: 85-88, 2021 08.
Article em En | MEDLINE | ID: mdl-33891906
ABSTRACT
In this observational study, we compared the prognostic ability of an electronic health record (EHR)-derived risk score, the Rothman Index (RI), automatically derived on admission, to the first 24-hour Sequential Organ Failure Assessment (SOFA) score for outcome prediction in the modern cardiac intensive care unit (CICU). We found that while the 24-hour SOFA score provided modestly superior discrimination for both in-hospital and CICU mortality, the RI upon CICU admission had better calibration for both outcomes. Given the ubiquitous nature of EHR utilization in the United States, the RI may become an important tool to rapidly risk stratify CICU patients within the ICU and improve resource allocation.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Algoritmos / Unidades de Cuidados Coronarianos / Registros Eletrônicos de Saúde / Hospitalização Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: Am Heart J Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Algoritmos / Unidades de Cuidados Coronarianos / Registros Eletrônicos de Saúde / Hospitalização Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: Am Heart J Ano de publicação: 2021 Tipo de documento: Article