Prognosis of acute right ventricular failure as the primary cause of cardiogenic shock complicating ST-segment elevation myocardial infarction

Boudiche, S.; Ayech, F. El; Hannachi, S.; Halima, M. Ben; Aloui, Hatem; Khader, Nader; Ouali, Sana; Mghaeith, F.; Larbi, N.; Mourali, M.S.

doi:10.1016/s1878-6480(17)30102-7

Archives of Cardiovascular Diseases Supplements

2017

DOI: 10.1016/s1878-6480(17)30102-7

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Prognosis of acute right ventricular failure as the primary cause of cardiogenic shock complicating ST-segment elevation myocardial infarction

S. Boudiche¹,

F. El Ayech²,

S. Hannachi³

et al.

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“…7) Several studies have analyzed prognostic variables in patients with CS, especially in patients with ACS. 8) However, few multivariable models have been developed to predict mortality in patients who are already in shock. Some nonspecific scores have been tested in this group of patients, with limited predictive power.…”

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confidence: 99%

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

Arias

Alonso-Fernández-Gatta

Dominguez

et al. 2022

Int. Heart J.

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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. 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.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).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.

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mentioning

confidence: 99%

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

Arias

Alonso-Fernández-Gatta

Dominguez

et al. 2022

Int. Heart J.

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Prognosis of acute right ventricular failure as the primary cause of cardiogenic shock complicating ST-segment elevation myocardial infarction

Cited by 1 publication

References 0 publications

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

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

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