Rapid and precise prehospital recognition of acute coronary syndrome (ACS) is key to improving clinical outcomes. The aim of this study was to investigate a predictive power for predicting ACS using the machine learning-based prehospital algorithm. We conducted a multicenter observational prospective study that included 10 participating facilities in an urban area of Japan. The data from consecutive adult patients, identified by emergency medical service personnel with suspected ACS, were analyzed. In this study, we used nested cross-validation to evaluate the predictive performance of the model. The primary outcomes were binary classification models for ACS prediction based on the nine machine learning algorithms. The voting classifier model for ACS using 43 features had the highest area under the receiver operating curve (AUC) (0.861 [95% CI 0.775–0.832]) in the test score. After validating the accuracy of the model using the external cohort, we repeated the analysis with a limited number of selected features. The performance of the algorithms using 17 features remained high AUC (voting classifier, 0.864 [95% CI 0.830–0.898], support vector machine (radial basis function), 0.864 [95% CI 0.829–0.887]) in the test score. We found that the machine learning-based prehospital algorithms showed a high predictive power for predicting ACS.

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An acute culprit lesion may be the cause of OHCA even in the absence of STE. In survivors of OHCA with normal coronary arteries, spasm provocation testing should be performed to detect VSA as a cause of the arrest.

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CaseTwo cases of cardiogenic unilateral pulmonary edema are reported. Both patients presented to the emergency department with dyspnea, and chest radiography revealed unilateral infiltration, which mimics pulmonary disease. However, the patients were diagnosed with cardiogenic pulmonary edema, because echocardiography showed severe mitral regurgitation with an eccentric jet.OutcomeThe patients underwent mitral valve replacement and were discharged without complications.ConclusionUnilateral cardiogenic pulmonary edema is rare, and early diagnosis and treatment are difficult. Delayed treatment leads to high mortality. The major cause of unilateral pulmonary edema is acute mitral regurgitation, and the direction of the jet is suggested as a mechanism of laterality.

Background Lower primary percutaneous coronary intervention (PCI) volume is known to be associated with worse outcomes in patients with acute myocardial infarction (MI) at hospital level. The present study aimed to evaluate the relations of primary, elective, and total PCI volume and primary/total PCI volume ratio per hospital to in‐hospital mortality in patients with acute MI undergoing primary PCI. Methods and Results Using a large nationwide administrative database, we included a total of 83 076 patients from 154 hospitals in Japan undergoing PCI for either acute MI or elective cases. Relations of annual procedural volumes for primary, elective, and total PCI to in‐hospital mortality after acute MI at hospital level were evaluated. The ratio of primary to total PCI volume per hospital was also assessed. The primary end point was the ratio of observed to predicted mortality. Of 83 076 patients, 26 913 (32.4%) underwent primary PCI for acute MI, among whom 1561 (5.8%) died during hospitalization. Overall, observed in‐hospital mortality after acute MI and observed/predicted mortality ratio were higher in hospitals with lower primary, elective, and total PCI volumes. Observed/predicted in‐hospital mortality ratio was higher in hospitals with low primary/total PCI volume ratio, even in those with high total PCI volume. Conclusions Primary, elective, and total PCI volume at hospitals were inversely associated with in‐hospital mortality in patients with acute MI undergoing primary PCI. Lower ratio of primary to total PCI volume were related to higher in‐hospital mortality, suggesting primary/total PCI volume ratio as an institutional indicator of quality of care for acute MI.

Acute coronary syndrome (ACS) is the major cause of out-of-hospital cardiac arrest (OHCA). The relationship between the findings from the study of coronary images and return of spontaneous circulation (ROSC) interval is still unknown. Hence, we investigated this relationship in ACS patients with OHCA.A cohort of 2779 patients was admitted to our emergency center due to cardiopulmonary arrest (CPA) between April 2011 and March 2015. We included ACS patients who had CPA with ventricular fibrillation (VF) as an initial rhythm, were successfully resuscitated, underwent coronary angiography (CAG), had a culprit lesion, and were diagnosed with ACS (n = 58; age, 63.7 ± 12.0 years; 93.1% male).We divided the 58 patients into two groups, an early ROSC group (ROSC !20 minutes: E-ROSC) and a late ROSC group (ROSC > 20 minutes: L-ROSC), and then analyzed their characteristics.The finding of a collateral artery for the culprit lesion location, Rentrop II-III, and TIMI III flow on CAG on arrival presented no significant differences between the two groups (Rentrop II-III: 25.0% versus 23.5%, P = 0.90; TIMI III: 33.3% versus 35.3%, P = 0.88). The incidence of multivessel coronary artery disease (MVD) was lower in the E-ROSC group than in the L-ROSC group (16.7% versus 58.8%, P = 0.001).Collateral and TIMI flow were not associated with ease of resuscitation, but MVD may have a negative impact on resuscitation, especially in VF patients.(Int Heart J 2019; 60: 1043-1049)