BACKGROUND: Cardiogenic shock (CS) is a multifactorial, hemodynamically complex syndrome associated with high mortality. Despite advances in reperfusion and mechanical circulatory support, management remains highly variable and outcomes poor. OBJECTIVES: This study investigated whether a standardized team-based approach can improve outcomes in CS and whether a risk score can guide clinical decision making. METHODS: A total of 204 consecutive patients with CS were identified. CS etiology, patient demographic characteristics, right heart catheterization, mechanical circulatory support use, and survival were determined. Cardiac power output (CPO) and pulmonary arterial pulsatility index (PAPi) were measured at baseline and 24 h after the CS diagnosis. Thresholds at 24 h for lactate (<3.0 mg/dl), CPO (>0.6 W), and PAPi (>1.0) were determined. Using logistic regression analysis, a validated risk stratification score was developed. RESULTS: Compared with 30-day survival of 47% in 2016, 30-day survival in 2017 and 2018 increased to 57.9% and 76.6%, respectively (p < 0.01). Independent predictors of 30-day mortality were age ≥71 years, diabetes mellitus, dialysis, ≥36 h of vasopressor use at time of diagnosis, lactate levels ≥3.0 mg/dl, CPO <0.6 W, and PAPi <1.0 at 24 h after diagnosis and implementation of therapies. Either 1 or 2 points were assigned to each variable, and a 3-category risk score was determined: 0 to 1 (low), 2 to 4 (moderate), and ≥5 (high). CONCLUSIONS: This observational study suggests that a standardized team-based approach may improve CS outcomes. A score incorporating demographic, laboratory, and hemodynamic data may be used to quantify risk and guide clinical decision-making for all phenotypes of CS.
BACKGROUND:Cardiogenic shock (CS) is a multifactorial, hemodynamically complex syndrome associated with high mortality. Despite advances in reperfusion and mechanical circulatory support, management remains highly variable and outcomes poor. OBJECTIVES: This study investigated whether a standardized team-based approach can improve outcomes in CS and whether a risk score can guide clinical decision making. METHODS: A total of 204 consecutive patients with CS were identified. CS etiology, patient demographic characteristics, right heart catheterization, mechanical circulatory support use, and survival were determined. Cardiac power output (CPO) and pulmonary arterial pulsatility index (PAPi) were measured at baseline and 24 h after the CS diagnosis. Thresholds at 24 h for lactate (<3.0 mg/dl), CPO (>0.6 W), and PAPi (>1.0) were determined. Using logistic regression analysis, a validated risk stratification score was developed. RESULTS: Compared with 30-day survival of 47% in 2016, 30-day survival in 2017 and 2018 increased to 57.9% and 76.6%, respectively (p < 0.01). Independent predictors of 30-day mortality were age ≥71 years, diabetes mellitus, dialysis, ≥36 h of vasopressor use at time of diagnosis, lactate levels ≥3.0 mg/dl, CPO <0.6 W, and PAPi <1.0 at 24 h after diagnosis and implementation of therapies. Either 1 or 2 points were assigned to each variable, and a 3-category risk score was determined: 0 to 1 (low), 2 to 4 (moderate), and ≥5 (high). CONCLUSIONS: This observational study suggests that a standardized team-based approach may improve CS outcomes. A score incorporating demographic, laboratory, and hemodynamic data may be used to quantify risk and guide clinical decision-making for all phenotypes of CS.
Authors: Manal Alasnag; Alexander G Truesdell; Holli Williams; Sara C Martinez; Syeda Kashfi Qadri; John P Skendelas; William A Jakobleff; Mirvat Alasnag Journal: Curr Atheroscler Rep Date: 2020-04-23 Impact factor: 5.113
Authors: Alexandra E Sperry; Matthew Williams; Pavan Atluri; Wilson Y Szeto; Marisa Cevasco; Christian A Bermudez; Michael A Acker; Michael Ibrahim Journal: Curr Heart Fail Rep Date: 2021-05-06
Authors: Behnam N Tehrani; Alexander G Truesdell; Mitchell A Psotka; Carolyn Rosner; Ramesh Singh; Shashank S Sinha; Abdulla A Damluji; Wayne B Batchelor Journal: JACC Heart Fail Date: 2020-11 Impact factor: 12.035
Authors: Iosif Taleb; Antigone G Koliopoulou; Anwar Tandar; Stephen H McKellar; Joseph E Tonna; Jose Nativi-Nicolau; Miguel Alvarez Villela; Frederick Welt; Josef Stehlik; Edward M Gilbert; Omar Wever-Pinzon; Jack H Morshedzadeh; Elizabeth Dranow; Craig H Selzman; James C Fang; Stavros G Drakos Journal: Circulation Date: 2019-07-01 Impact factor: 29.690
Authors: Marc D Samsky; Mitchell W Krucoff; David A Morrow; William T Abraham; Fernando Aguel; Andrew D Althouse; Eric Chen; Joaquin E Cigarroa; Adam D DeVore; Andrew Farb; Ian C Gilchrist; Timothy D Henry; Judith S Hochman; Navin K Kapur; Valarie Morrow; E Magnus Ohman; William W O'Neill; Ileana L Piña; Alastair G Proudfoot; John S Sapirstein; Jonathan H Seltzer; Fred Senatore; Meir Shinnar; Charles A Simonton; Behnam N Tehrani; Holger Thiele; Alexander G Truesdell; Ron Waksman; Sunil V Rao Journal: Am Heart J Date: 2020-10-02 Impact factor: 4.749