Predictive Model and Risk Score for In-Hospital Mortality in Patients with All-Cause Cardiogenic Shock
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- Arias Federico García-Rodeja
- Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
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- Alonso-Fernandez-Gatta Marta
- Department of Cardiology, Hospital Universitario de Salamanca-IBSAL, University of Salamanca
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- Dominguez Marta Pérez
- Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
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- Martínez Jesús Martinón
- Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
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- Veloso Pedro Rigueiro
- Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
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- Bermejo Rosa María Agra
- Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
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- Álvarez Diego Iglesias
- Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
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- Merchán-Gómez Soraya
- Department of Cardiology, Hospital Universitario de Salamanca-IBSAL, University of Salamanca
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- Diego-Nieto Alejandro
- Department of Cardiology, Hospital Universitario de Salamanca-IBSAL, University of Salamanca
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- Casas Charigán Abou Jokh
- Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
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- Álvarez Belén Álvarez
- Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
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- Ferrero Teba González
- Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
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- Antonio Carla Cacho
- Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
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- 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
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- Acuña José María García
- Department of Department, Complejo Hospitalario Universitario de Santiago de Compostela Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV)
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- Sánchez Pedro L
- Department of Cardiology, Hospital Universitario de Salamanca-IBSAL, University of Salamanca
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- 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
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- 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
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- International Heart Journal
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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