BACKGROUND: The Society of Cardiovascular Angiography and Interventions (SCAI) have recently proposed a new classification of cardiogenic shock (CS) dividing patients into five subgroups. OBJECTIVE: Aim of this study was to apply the SCAI classification to a cohort of patients presenting with CS and to evaluate its ability to predict 30-day survival. METHODS: SCAI CS subgroups were interpreted based on the recent consensus statement and then applied to N = 1,007 consecutive patients presenting with CS or large myocardial infarction (MI) between October 2009 and October 2017. The association between SCAI classification and 30-day all-cause mortality was assessed by logistic regression analysis. RESULTS: Mean age in the study cohort was 67 (±15) years, 72% were male. Mean lactate at baseline was 6.05 (±5.13) mmol/l and 51% of the patients had prior cardiac arrest. Overall survival probability was 50.6% (95% confidence interval [CI] 47.5-54.0%). In view of the SCAI classification, the survival probability was 96.4% (95% CI 93.7-99.0%) in class A, 66.1% (95% CI 50.2-87.1%) in class B, 46.1% (95% CI 40.6-52.4%) in class C, 33.1% (95% CI 26.6-41.1%) in class D, and 22.6% (95% CI 17.1-30.0%) in class E. Higher SCAI classification was significantly associated with lower 30-day survival (p < .01). CONCLUSION: In this large clinical cohort, the SCAI classification was significantly associated with 30-day survival. This finding supports the rationale of the SCAI CS classification and calls for a validation in a prospective trial.
BACKGROUND: The Society of Cardiovascular Angiography and Interventions (SCAI) have recently proposed a new classification of cardiogenic shock (CS) dividing patients into five subgroups. OBJECTIVE: Aim of this study was to apply the SCAI classification to a cohort of patients presenting with CS and to evaluate its ability to predict 30-day survival. METHODS:SCAICS subgroups were interpreted based on the recent consensus statement and then applied to N = 1,007 consecutive patients presenting with CS or large myocardial infarction (MI) between October 2009 and October 2017. The association between SCAI classification and 30-day all-cause mortality was assessed by logistic regression analysis. RESULTS: Mean age in the study cohort was 67 (±15) years, 72% were male. Mean lactate at baseline was 6.05 (±5.13) mmol/l and 51% of the patients had prior cardiac arrest. Overall survival probability was 50.6% (95% confidence interval [CI] 47.5-54.0%). In view of the SCAI classification, the survival probability was 96.4% (95% CI 93.7-99.0%) in class A, 66.1% (95% CI 50.2-87.1%) in class B, 46.1% (95% CI 40.6-52.4%) in class C, 33.1% (95% CI 26.6-41.1%) in class D, and 22.6% (95% CI 17.1-30.0%) in class E. Higher SCAI classification was significantly associated with lower 30-day survival (p < .01). CONCLUSION: In this large clinical cohort, the SCAI classification was significantly associated with 30-day survival. This finding supports the rationale of the SCAICS classification and calls for a validation in a prospective trial.
Authors: Shashank S Sinha; Carolyn M Rosner; Behnam N Tehrani; Aneel Maini; Alexander G Truesdell; Seiyon Ben Lee; Pramita Bagchi; James Cameron; Abdulla A Damluji; Mehul Desai; Shashank S Desai; Kelly C Epps; Christopher deFilippi; M Casey Flanagan; Leonard Genovese; Hala Moukhachen; James J Park; Mitchell A Psotka; Anika Raja; Palak Shah; Matthew W Sherwood; Ramesh Singh; Daniel Tang; Karl D Young; Timothy Welch; Christopher M O'Connor; Wayne B Batchelor Journal: Circ Heart Fail Date: 2022-05-05 Impact factor: 10.447
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Authors: Adamantios Tsangaris; Tamas Alexy; Rajat Kalra; Marinos Kosmopoulos; Andrea Elliott; Jason A Bartos; Demetris Yannopoulos Journal: Front Cardiovasc Med Date: 2021-07-07
Authors: Behnam N Tehrani; Abdulla A Damluji; Matthew W Sherwood; Carolyn Rosner; Alexander G Truesdell; Kelly C Epps; Edward Howard; Scott D Barnett; Anika Raja; Christopher R deFilippi; Charles E Murphy; Christopher M O'Connor; Wayne B Batchelor Journal: Catheter Cardiovasc Interv Date: 2020-08-03 Impact factor: 2.585
Authors: Benedikt Schrage; Jessica Weimann; Salim Dabboura; Isabell Yan; Rafel Hilal; Peter Moritz Becher; Moritz Seiffert; Alexander M Bernhardt; Stefan Kluge; Hermann Reichenspurner; Stefan Blankenberg; Dirk Westermann Journal: J Clin Med Date: 2020-03-28 Impact factor: 4.241