UNASSIGNED: This study aimed to quantitatively assess stress, anxiety and obsessive thinking related to coronavirus disease-19 (COVID-19) and qualitatively appraise perceptions in patients after acute myocardial infarction (AMI) undergoing cardiac rehabilitation (CR) during the COVID-19 pandemic.
UNASSIGNED: We used mixed-methods design in patients referred for CR in 2 centres which delivered uninterrupted service during COVID-19 pandemic. Coronavirus Anxiety Scale (CAS), Obsession with COVID-19 Scale (OCS), COVID-19 Stress Scale (CSS), Hospital Anxiety and Depression Scale (HADS), and in-person interviews (combination of a priori questions and probing) were used to evaluate patient experience and perceptions with COVID-19 and the healthcare services during pandemic.
UNASSIGNED: In total, 109 patients (mean age 59 ± 10, 20% women) were included in quantitative part and in 30 of them we conducted the in-person interviews. About a quarter of patients met HADS threshold for anxiety and depression while CAS and OCS results demonstrated extremely low possibility of coronavirus related dysfunctional thinking (3%) and anxiety (2%). The CSS indicated the most prevalent concerns were related to COVID-19 vaccines safety (60%) and fear of getting infected (60%). During interviews, patients perceived the CR as well as health care providers as safe, trustworthy and with enough support to avoid or manage COVID-19 related health risks.
UNASSIGNED: Overall, patients reported AMI affected their lives more than the COVID-19 pandemic. The COVID-19 related stress and anxiety were relatively low and mostly related to general views of infectious disease. CR was perceived safe and trustworthy in terms of primary disease and COVID-19.
UNASSIGNED: This mixed-method study included 109 patients with acute myocardial infarction who underwent cardiac rehabilitation during the COVID-19 and focused on their experience and perceptions with COVID-19 and the healthcare services during pandemic.-Patients reported acute myocardial infarction affected their lives more than the COVID-19 pandemic.-The COVID-19 related concerns were mostly related to general views of infectious disease (vaccine safety, fear of getting infected) whilst cardiac rehabilitation was perceived safe and trustworthy environment during COVID-19.

UNASSIGNED: Acute myocardial infarction (AMI) complicated by cardiogenic shock (CS) carries a high mortality risk. Inflammation and nutrition are involved in the pathogenesis and prognosis of both AMI and CS. The advanced lung cancer inflammation index ratio (ALI) combines the inflammatory and nutritional status. Our present study aimed to explore the prognostic value of ALI in patients with CS following AMI.
UNASSIGNED: In total, 217 consecutive patients with AMI complicated by CS were divided into two groups based on the ALI admissions cut-off: ≤ 12.69 and > 12.69. The primary endpoint of this study was 30-day all-cause mortality. The secondary endpoints were gastrointestinal hemorrhage and major adverse cardiovascular events (MACEs), including 30-day all-cause mortality, atrioventricular block, ventricular tachycardia/ventricular fibrillation, and nonfatal stroke. The association of ALI with the study endpoints was analyzed by Cox regression analysis.
UNASSIGNED: During the 30-day follow-up period after admission, 104 (47.9%) patients died and 150 (69.1%) suffered MACEs. The Kaplan-Meier analysis revealed significantly higher cumulative mortality and lower MACE rates in the low-ALI group compared to the high-ALI group (both log-rank p < 0.001). The 30-day mortality rate was significantly higher in patients with ALI ≤ 12.69 compared to ALI > 12.69 (72.1% vs. 22.6%; p < 0.001). Furthermore, the incidence of MACEs was higher in patients with ALI ≤ 12.69 (85.6% vs. 51.9%; p < 0.001). The receiver operating curve showed that ALI had a modest predictive value (area under the curve [AUC]: 0.789, 95% confidence interval [CI]: 0.729, 0.850). After multivariable adjustment, ALI ≤ 12.69 was an independent predictor for both 30-day all-cause mortality (hazard ratio [HR]: 3.327; 95% CI: 2.053, 5.389; p < 0.001) and 30-day MACEs (HR: 2.250; 95% CI 1.553, 3.260; p < 0.001). Furthermore, the addition of ALI to a base model containing clinical and laboratory data statistically improved the predictive value.
UNASSIGNED: Assessing ALI levels upon admission can provide important information for the short-term prognostic assessment of patients with AMI complicated by CS. A lower ALI may serve as an independent predictor of increased 30-day all-cause mortality and MACEs.

UNASSIGNED: A postinfarct ventricular septal defect (PIVSD) is associated with high mortality and morbidity, particularly in patients with hemodynamic instability who are not suitable candidates for surgical repair. The Amplatzer PIVSD Occluder (Abbott) is indicated for transcatheter PIVSD closure in patients who are not satisfactory candidates for surgical repair. The objective of this study was to evaluate associated clinical outcomes.
UNASSIGNED: A total of 131 patients underwent transcatheter PIVSD closure using the Amplatzer PIVSD Occluder between 2011 and 2021 as part of a postapproval, multicenter, retrospective, observational study. The patients were analyzed in 2 cohorts. Cohort 1 included 99 patients (age 68.6 ± 11.9 years) implanted from 2011 to 2016 and evaluated technical success, procedure survival, and 6-month survival. Cohort 2 included 32 patients (age 66.4 ± 10.9 years) implanted from 2012 to 2021 with postprocedure echocardiograms and evaluated 24-hour closure, 6-month closure, and 6-month survival.
UNASSIGNED: Technical success was achieved in 76.8% (76/99), procedure survival in 84.3% (75/89), and 6-month survival was observed in 37.2% of cohort 1 patients. Twenty-four-hour closure and 6-month closure were achieved in 53.1% (17/32) and 66.7% (4/6) of cohort 2 patients, respectively. Six-month survival was 46.4% of cohort 2 patients. Of the 16 deaths in cohort 2, 11 were cardiac-related, 4 were noncardiac-related, and 1 was of unknown etiology.
UNASSIGNED: This study demonstrates high morbidity of patients undergoing PIVSD closure using the Amplatzer PIVSD Occluder and that the device continues to be a safe alternative to medical therapy in patients who are not satisfactory candidates for surgical repair of a PIVSD.

BACKGROUND: Stent malapposition (SM) following percutaneous coronary intervention (PCI) for myocardial infarction continues to present significant clinical challenges. In recent years, machine learning (ML) models have demonstrated potential in disease risk stratification and predictive modeling.
OBJECTIVE: ML models based on optical coherence tomography (OCT) imaging, laboratory tests, and clinical characteristics can predict the occurrence of SM.
METHODS: We studied 337 patients from the Affiliated Hospital of Zunyi Medical University, China, who had PCI and coronary OCT from May to October 2023. We employed nested cross-validation to partition patients into training and test sets. We developed five ML models: XGBoost, LR, RF, SVM, and NB based on calcification features. Performance was assessed using ROC curves. Lasso regression selected features from 46 clinical and 21 OCT imaging features, which were optimized with the five ML algorithms.
RESULTS: In the prediction model based on calcification features, the XGBoost model and SVM model exhibited higher AUC values. Lasso regression identified five key features from clinical and imaging data. After incorporating selected features into the model for optimization, the AUC values of all algorithmic models showed significant improvements. The XGBoost model demonstrated the highest calibration accuracy. SHAP values revealed that the top five ranked features influencing the XGBoost model were calcification length, age, coronary dissection, lipid angle, and troponin.
CONCLUSIONS: ML models developed using plaque imaging features and clinical characteristics can predict the occurrence of SM. ML models based on clinical and imaging features exhibited better performance.