Predictive Model and Risk Score for In-Hospital Mortality in Patients with All-Cause Cardiogenic Shock

  • Arias Federico García-Rodeja
    Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
  • Alonso-Fernandez-Gatta Marta
    Department of Cardiology, Hospital Universitario de Salamanca-IBSAL, University of Salamanca
  • Dominguez Marta Pérez
    Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
  • Martínez Jesús Martinón
    Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
  • Veloso Pedro Rigueiro
    Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
  • Bermejo Rosa María Agra
    Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
  • Álvarez Diego Iglesias
    Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
  • Merchán-Gómez Soraya
    Department of Cardiology, Hospital Universitario de Salamanca-IBSAL, University of Salamanca
  • Diego-Nieto Alejandro
    Department of Cardiology, Hospital Universitario de Salamanca-IBSAL, University of Salamanca
  • Casas Charigán Abou Jokh
    Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
  • Álvarez Belén Álvarez
    Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
  • Ferrero Teba González
    Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
  • Antonio Carla Cacho
    Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
  • Muiños Pablo José Antúnez
    Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV) Department of Cardiology, Hospital Universitario de Salamanca-IBSAL, University of Salamanca
  • Acuña José María García
    Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
  • Sánchez Pedro L
    Department of Cardiology, Hospital Universitario de Salamanca-IBSAL, University of Salamanca
  • Juanatey José Ramón González
    Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)

書誌事項

タイトル別名
  • Santiago Shock Score (S3)

抄録

<p>Cardiogenic shock (CS) is a condition associated with high morbidity and mortality. Our study aimed to perform a risk score for in-hospital mortality that allows for stratifying the risk of death in patients with CS.</p><p>This is a retrospective analysis, which included 135 patients from a Spanish university hospital between 2011 and 2020. The Santiago Shock Score (S3) was created using clinical, analytical, and echocardiographic variables obtained at the time of admission.</p><p>The in-hospital mortality rate was 41.5%, and acute coronary syndrome (ACS) was the responsible cause of shock in 60.7% of patients. Mitral regurgitation grade III-IV, age, ACS etiology, NT-proBNP, blood hemoglobin, and lactate at admission were included in the score. The S3 had good accuracy for predicting in-hospital mortality area under the receiver operating characteristic curve (AUC) 0.85 (95% confidence interval (CI) 0.78-0.90), higher than the AUC of the CardShock score, which was 0.74 (95% CI 0.66-0.83). Predictive power in a cohort of 131 patients with profound CS was similar to that of CardShock with an AUC of 0.601 (95% CI 0.496-0.706) versus an AUC of 0.558 (95% CI 0.453-0.664). Three risk categories were created according to the S3: low (scores 0-6), intermediate (scores 7-10), and high (scores 11-16) risks, with an observed mortality of 12.9%, 49.1%, and 87.5% respectively (P < 0.001).</p><p>The S3 score had excellent predictive power for in-hospital mortality in patients with nonprofound CS. It could aid the initial risk stratification of patients and thus, guide treatment and clinical decision making in patients with CS.</p>

収録刊行物

  • International Heart Journal

    International Heart Journal 63 (6), 1034-1040, 2022-11-30

    一般社団法人 インターナショナル・ハート・ジャーナル刊行会

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