Volume 98, Issue 7 pp. 1275-1284
ORIGINAL STUDY

Predicting mortality in cardiogenic shock secondary to ACS requiring short-term mechanical circulatory support: The ACS-MCS score

Qussay Marashly MD

Qussay Marashly MD

Division of Cardiovascular Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA

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Iosif Taleb MD

Iosif Taleb MD

Division of Cardiovascular Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA

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Christos P. Kyriakopoulos MD

Christos P. Kyriakopoulos MD

Division of Cardiovascular Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA

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Elizabeth Dranow PhD

Elizabeth Dranow PhD

Division of Cardiovascular Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA

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Tara L. Jones MD, PharmD

Tara L. Jones MD, PharmD

Division of Cardiovascular Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA

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Anwar Tandar MD

Anwar Tandar MD

Division of Cardiovascular Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA

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Sean D. Overton MD

Sean D. Overton MD

Cardiovascular intensive care unit (CVICU), University of Utah School of Medicine, Salt Lake City, Utah, USA

Department of Anesthesiology, University of Utah School of Medicine, Salt Lake City, Utah, USA

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Joseph E. Tonna MD, MS

Joseph E. Tonna MD, MS

Division of Cardiothoracic Surgery, University of Utah School of Medicine, Salt Lake City, Utah, USA

Cardiovascular intensive care unit (CVICU), University of Utah School of Medicine, Salt Lake City, Utah, USA

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Kathleen Stoddard RN

Kathleen Stoddard RN

Cardiovascular intensive care unit (CVICU), University of Utah School of Medicine, Salt Lake City, Utah, USA

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Omar Wever-Pinzon MD

Omar Wever-Pinzon MD

Division of Cardiovascular Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA

Cardiovascular intensive care unit (CVICU), University of Utah School of Medicine, Salt Lake City, Utah, USA

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Line Kemeyou MD

Line Kemeyou MD

Division of Cardiovascular Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA

Cardiovascular intensive care unit (CVICU), University of Utah School of Medicine, Salt Lake City, Utah, USA

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Antigone G. Koliopoulou MD

Antigone G. Koliopoulou MD

Division of Cardiothoracic Surgery, University of Utah School of Medicine, Salt Lake City, Utah, USA

Cardiovascular intensive care unit (CVICU), University of Utah School of Medicine, Salt Lake City, Utah, USA

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Kevin S. Shah MD

Kevin S. Shah MD

Division of Cardiovascular Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA

Cardiovascular intensive care unit (CVICU), University of Utah School of Medicine, Salt Lake City, Utah, USA

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Kimiya Nourian BS, MS

Kimiya Nourian BS, MS

Division of Cardiovascular Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA

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Tyler J. Richins BS

Tyler J. Richins BS

Division of Cardiovascular Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA

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Tyson S. Burnham BS

Tyson S. Burnham BS

Division of Cardiovascular Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA

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Frederick G. Welt MD

Frederick G. Welt MD

Division of Cardiovascular Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA

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Stephen H. McKellar MD, MSc

Stephen H. McKellar MD, MSc

Division of Cardiothoracic Surgery, University of Utah School of Medicine, Salt Lake City, Utah, USA

Cardiovascular intensive care unit (CVICU), University of Utah School of Medicine, Salt Lake City, Utah, USA

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Jose Nativi-Nicolau MD

Jose Nativi-Nicolau MD

Division of Cardiovascular Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA

Cardiovascular intensive care unit (CVICU), University of Utah School of Medicine, Salt Lake City, Utah, USA

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Stavros G. Drakos MD, PhD

Corresponding Author

Stavros G. Drakos MD, PhD

Division of Cardiovascular Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA

Cardiovascular intensive care unit (CVICU), University of Utah School of Medicine, Salt Lake City, Utah, USA

Correspondence

Stavros G. Drakos, Division of Cardiovascular Medicine and Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah School of Medicine, 30 North 1900 East, Room 4A150, Salt Lake City, UT.

Email: [email protected]

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First published: 07 March 2021
Citations: 5
EDITORIAL COMMENT: Expert Article Analysis for: Risk prediction in cardiogenic shock

Funding information: AHA Heart Failure Strategically Focused Research Network, Grant/Award Number: 16SFRN29020000; National Heart, Lung, and Blood Institute, Grant/Award Numbers: K23HL141596, NHLBI R01 HL132067-01A1, NHLBI R01 HL135121-01, NHLBI T32HL007576; Nora Eccles Treadwell Foundation

Abstract

Objective

To identify predictors of 30-day all-cause mortality for patients with cardiogenic shock secondary to acute coronary syndrome (ACS-CS) who require short-term mechanical circulatory support (ST-MCS).

Background

ACS-CS mortality is high. ST-MCS is an attractive treatment option for hemodynamic support and stabilization of deteriorating patients. Mortality prediction modeling for ACS-CS patients requiring ST-MCS has not been well-defined.

Methods

The Utah Cardiac Recovery (UCAR) Shock database was used to identify patients admitted with ACS-CS requiring ST-MCS devices between May 2008 and August 2018. Pre-ST-MCS clinical, laboratory, echocardiographic, and angiographic data were collected. The primary endpoint was 30-day all-cause mortality. A weighted score comprising of pre-ST-MCS variables independently associated with 30-day all-cause mortality was derived and internally validated.

Results

A total of 159 patients (mean age, 61 years; 78% male) were included. Thirty-day all-cause mortality was 49%. Multivariable analysis resulted in four independent predictors of 30-day all-cause mortality: age, lactate, SCAI CS classification, and acute kidney injury. The model had good calibration and discrimination (area under the receiver operating characteristics curve 0.80). A predictive score (ranging 0–4) comprised of age ≥ 60 years, pre-ST-MCS lactate ≥2.5 mmol/L, AKI at time of ST-MCS implementation, and SCAI CS stage E effectively risk stratified our patient population.

Conclusion

The ACS-MCS score is a simple and practical predictive score to risk-stratify CS secondary to ACS patients based on their mortality risk. Effective mortality risk assessment for ACS-CS patients could have implications on patient selection for available therapeutic strategy options.

CONFLICT OF INTEREST

Frederick G. Welt has served on the advisory board of Medtronic. Joseph E. Tonna has received modest support from LivaNova and Philips Healthcare as a speaking honorarium in relation to this work. Stavros G. Drakos is a consultant to Abbott. All other authors report no conflicts.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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