JOURNAL ARTICLE

Prediction of survival of patients in cardiogenic shock treated by surgically implanted Impella 5+ short-term left ventricular assist device

Gaik Nersesian, Carsten Tschöpe, Frank Spillmann, Tom Gromann, Luise Roehrich, Marcus Mueller, Johanna Mulzer, Christoph Starck, Volkmar Falk, Felix Schoenrath, Evgenij Potapov
Interactive Cardiovascular and Thoracic Surgery 2020 September 3
32879947

OBJECTIVES: Short-term mechanical circulatory support is a life-saving treatment for acute cardiogenic shock (CS). This multicentre study investigates the preoperative predictors of 30-day mortality in CS patients treated with Impella 5.0 and 5.5 short-term left ventricular assist devices.

METHODS: Data of patients in CS (n = 70) treated with the Impella 5 (n = 63) and 5.5 (n = 7) in 2 centres in Berlin between October 2016 and October 2019 were collected retrospectively.

RESULTS: CS was caused by acute myocardial infarction (n = 16), decompensated chronic heart failure (n = 41), postcardiotomy syndrome (n = 5) and acute myocarditis (n = 8). Before implantation 12 (17%) patients underwent cardiopulmonary resuscitation and 32 (46%) patients were ventilated. INTERMACS level 1, 2 and 3 was established in 35 (50%), 29 (41%) and 6 (9%) of patients, respectively. The mean preoperative lactate level was 4.05 mmol/l. The median support time was 7 days (IR= 4-15). In 18 cases, the pump was removed for myocardial recovery, in 22 cases, durable left ventricular assist devices were implanted, and 30 patients died on support. The overall 30-day survival was 51%. Statistical analysis showed that an increase in lactate per mmol/l [odds ratio (OR) 1.217; P = 0.015] and cardiopulmonary resuscitation before implantation (OR 16.74; P = 0.009) are predictors of 30-day survival. Based on these data, an algorithm for optimal short-term mechanical circulatory support selection is proposed.

CONCLUSIONS: Impella treatment is feasible in severe CS. Severe organ dysfunction, as well as the level and duration of shock predict early mortality. An algorithm based on these parameters may help identify patients who would benefit from Impella 5+ support.

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