BACKGROUND AND OBJECTIVES: The relevance of the use of intra-aortic balloon pump (IABP) in cardiogenic shock (CS) has been discussed over the past years. The aim of this study is to describe a single-centre 10-year experience with IABP and analyse the risk factors for 30-day mortality. METHODS: The data for this single-centre, observational, retrospective study were drawn from records dated from January 2012 to May 2022 pertaining to patients presenting with CS, treated with IABP and hospitalised at the Department of Acute Cardiology, Institute for Clinical and Experimental Medicine, Prague. RESULTS: Among the patients included in the study, 87% patients presented with newly developed heart failure. The leading cause of CS was acute myocardial infarction accounting for 86% of cases. Hospital mortality was recorded at 39% and the 30-day mortality reached 43%. Upon multi-variable analysis, only the vasoactive inotropic score on day 5 emerged as a statistically significant predictor for 30-day mortality (p=0.0055). Cox regression analysis revealed that the presence of mechanical complications was the only variable identified as yielding a statistically significant impact on the 30-day survival (Log-rank p=0.014, HR 2.19, 95% CI: 1.15‒4.15). There was no statistically significant difference in the 30-day mortality across the SCAI classes. CONCLUSION: The main cause of CS was a newly developed acute heart failure secondary to acute myocardial infarction. Despite the implementation of mechanical circulatory support, both in-hospital and 30-day mortality rates remained high. Increased vasoactive inotropic score and presence of mechanical complications were identified as significant predictors the 30-day survival (Tab. 6, Fig. 1, Ref. 36). Text in PDF www.elis.sk Keywords: cardiogenic shock, IABP, risk factors, mortality, Czech Republic, AMICS.
- MeSH
- infarkt myokardu komplikace mortalita MeSH
- intraaortální balónková pumpa * MeSH
- kardiogenní šok * mortalita terapie etiologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- mortalita v nemocnicích * MeSH
- retrospektivní studie MeSH
- rizikové faktory MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- srdeční selhání mortalita terapie komplikace MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- pozorovací studie MeSH
- Geografické názvy
- Česká republika MeSH
INTRODUCTION: Recent advances in machine learning provide new possibilities to process and analyse observational patient data to predict patient outcomes. In this paper, we introduce a data processing pipeline for cardiogenic shock (CS) prediction from the MIMIC III database of intensive cardiac care unit patients with acute coronary syndrome. The ability to identify high-risk patients could possibly allow taking pre-emptive measures and thus prevent the development of CS. METHODS: We mainly focus on techniques for the imputation of missing data by generating a pipeline for imputation and comparing the performance of various multivariate imputation algorithms, including k-nearest neighbours, two singular value decomposition (SVD)-based methods, and Multiple Imputation by Chained Equations. After imputation, we select the final subjects and variables from the imputed dataset and showcase the performance of the gradient-boosted framework that uses a tree-based classifier for cardiogenic shock prediction. RESULTS: We achieved good classification performance thanks to data cleaning and imputation (cross-validated mean area under the curve 0.805) without hyperparameter optimization. CONCLUSION: We believe our pre-processing pipeline would prove helpful also for other classification and regression experiments.
- Publikační typ
- časopisecké články MeSH
- MeSH
- arteria iliaca * abnormality chirurgie MeSH
- chirurgická náhrada chlopně metody MeSH
- lidé středního věku MeSH
- lidé MeSH
- výsledek terapie MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- Publikační typ
- kazuistiky MeSH
- MeSH
- aortální stenóza * diagnostické zobrazování MeSH
- bikuspidální aortální chlopeň diagnostické zobrazování MeSH
- defekty komorového septa diagnostické zobrazování MeSH
- dospělí MeSH
- kalcinóza diagnostické zobrazování komplikace MeSH
- lidé MeSH
- počítačová rentgenová tomografie metody MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- mužské pohlaví MeSH
- Publikační typ
- kazuistiky MeSH
Background: Atrial fibrillation (AF) is associated with high risk of stroke preventable by timely initiation of anticoagulation. Currently available screening tools based on ECG are not optimal due to inconvenience and high costs. Aim of this study was to study the diagnostic value of apelin for AF in patients with high risk of stroke. Methods: We designed a multicenter, matched-cohort study. The population consisted of three study groups: a healthy control group (34 patients) and two matched groups of 60 patients with high risk of stroke (AF and non-AF group). Apelin levels were examined from peripheral blood. Results: Apelin was significantly lower in AF group compared to non-AF group (0.694 ± 0.148 vs. 0.975 ± 0.458 ng/ml, p = 0.001) and control group (0.982 ± 0.060 ng/ml, p < 0.001), respectively. Receiver operating characteristic (ROC) analysis of apelin as a predictor of AF scored area under the curve (AUC) of 0.658. Apelin's concentration of 0.969 [ng/ml] had sensitivity = 0.966 and specificity = 0.467. Logistic regression based on manual feature selection showed that only apelin and NT-proBNP were independent predictors of AF. Logistic regression based on selection from bivariate analysis showed that only apelin was an independent predictor of AF. A logistic regression model using repeated stratified K-Fold cross-validation strategy scored an AUC of 0.725 ± 0.131. Conclusions: Our results suggest that apelin might be used to rule out AF in patients with high risk of stroke.
- Publikační typ
- časopisecké články MeSH
