Predicting Hemodynamic Changes During Intra-Aortic Balloon Pump Support With a Longitudinal Evaluation.
Francesco CastagnaShankar ViswanathanGeorge ChalhoubPaul IppolitoJulio Andres Ovalle RamosSasa VukelicDaniel B SimsShivank MadanOmar SaeedUlrich P JordePublished in: ASAIO journal (American Society for Artificial Internal Organs : 1992) (2023)
The use of intra-aortic balloon pump (IABP) has decreased in recent years due to negative outcome studies in cardiogenic shock complicating acute myocardial infarction, despite its favorable adverse-event profile. Acute hemodynamic response studies have identified potential super-responders with immediate improvements in cardiac index (CI) in heart failure patients. This single-center retrospective study aimed to predict CI and mean arterial pressure (MAP) changes throughout the entire duration of IABP support. The study analyzed 336 patients who received IABP between 2016 and 2022. Linear mixed-effect regression models were used to predict CI and MAP improvement during IABP support. The results showed that CI and MAP increases during the first days of support, and changes during IABP support varied with time and were associated with baseline parameters. Longitudinal CI change was associated with body surface area, baseline CI, baseline pulmonary artery pulsatility index, baseline need for pressors, and diabetes. Longitudinal MAP change was associated with baseline MAP, baseline heart rate, need for pressors, or inotropes. The study recommends considering these parameters when deciding if IABP is the most appropriate form of support for a specific patient. Further prospective studies are needed to validate the findings.
Keyphrases
- pulmonary artery
- heart rate
- acute myocardial infarction
- left ventricular
- pulmonary hypertension
- type diabetes
- blood pressure
- aortic valve
- pulmonary arterial hypertension
- heart rate variability
- high density
- cardiovascular disease
- heart failure
- emergency department
- aortic dissection
- liver failure
- metabolic syndrome
- cross sectional
- percutaneous coronary intervention
- intensive care unit
- risk assessment
- climate change
- skeletal muscle
- respiratory failure
- atrial fibrillation
- hepatitis b virus
- adverse drug
- weight loss
- human health
- neural network