Internal medicine
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Objectives The present study evaluated the usefulness of machine learning (ML) models with the coronary artery calcification score (CACS) and clinical parameters for predicting major adverse cardiac events (MACEs). Methods The Nationwide Gender-specific Atherosclerosis Determinants Estimation and Ischemic Cardiovascular Disease Prospective Cohort study (NADESICO) of 1,187 patients with suspected coronary artery disease (CAD) 50-74 years old was used to build a MACE prediction model. The ML random forest (RF) model was compared with a logistic regression analysis. ⋯ Conclusion The ML-RF model improved the long-term prediction of MACEs compared to the logistic regression model. However, the selected variables in the internal dataset were not highly predictive of the external dataset. Further investigations are required to validate the usefulness of this model.
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Acute respiratory failure (ARF) due to lateral medullary infarction (LMI) can be a fatal condition, although its details remain unclarified. To clarify clinical aspects of ARF due to LMI, we reviewed eight applicable cases treated in a tertiary hospital. ⋯ We clarified that even patients with a serious clinical course may have no apparent magnetic resonance imaging abnormalities in respiratory control centers at the initial examination. We should be mindful that respiratory monitoring is necessary even without infarction of regions responsible for respiratory control at the initial presentation.
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Objective Triple-vessel disease (TVD) is a well-established prognostic factor for patients with acute myocardial infarction (AMI). However, there is a paucity of literature regarding the risk factors for in-hospital death in patients with non-ST-segment elevation myocardial infarction (NSTEMI) and TVD. In this retrospective study, we examined the determinants of in-hospital death in patients with NSTEMI and TVD who underwent percutaneous coronary intervention (PCI) for culprit lesions. ⋯ In the multivariate logistic regression analysis, in-hospital death was inversely associated with the SBP at admission (odds ratio [OR] 0.984, 95% confidence interval [CI] 0.970-0.999, p<0.035) and eGFR (OR 0.966, 95% CI 0.939-0.994, p=0.019) and was associated with cardiopulmonary arrest (CPA) before PCI (OR 8.448, 95%CI 1.863-38.309, p=0.006). Conclusion In-hospital death was associated with CPA before PCI and inversely associated with the SBP at admission and eGFR in patients with NSTEMI and TVD who underwent PCI for the culprit lesion. It may be important to recognize these high-risk features in order to improve the clinical outcomes of patients with NSTEMI and TVD.