Peak oxygen uptake (VO2peak) is a strong predictor of survival in cardiac patients. The aims of this study were to compare the effects of high interval training (HIT) to moderate continuous training (MCT) on VO2peak and to identify the safety of HIT in acute myocardial infarction patients with drug-eluting stent. Twenty-eight acute myocardial infarction patients with drug-eluting stent were randomized to either HIT at 85%-95 % of heart rate reserve or MCT at 70%-85% of heart rate reserve, 3 days a week for 6 wks at a cardiac rehabilitation clinic. Primary outcome was VO2peak at baseline and after cardiac rehabilitation. Both HIT and MCT groups showed significant increases in VO2peak and heart rate recovery after 6 wks of training. The 22.16% improvement in VO2peak in the HIT group was significantly greater than the 8.48% improvement in the MCT group (P = 0.021). There were no cardiovascular events related to both HIT and MCT. HIT is more effective than MCT for improving VO2peak in acute myocardial infarction patients with drug-eluting stent. These findings may have important implications for more effective exercise training in cardiac rehabilitation program.

Kim C, et al. Korean Circ J. 2018 Aug;49:e129. https://doi.org/10.4070/kcj.2019.0194

Preventing exacerbation and seeking to determine the severity of the disease during the hospitalization of chronic obstructive pulmonary disease (COPD) patients is a crucial global initiative for chronic obstructive lung disease (GOLD); this option is available only for stable-phase patients. Recently, the assessment and prediction techniques that are used have been determined to be inadequate for acute exacerbation of chronic obstructive pulmonary disease patients. To magnify the monitoring and treatment of acute exacerbation COPD patients, we need to rely on the AI system, because traditional methods take a long time for the prognosis of the disease. Machine-learning techniques have shown the capacity to be effectively used in crucial healthcare applications. In this paper, we propose a voting ensemble classifier with 24 features to identify the severity of chronic obstructive pulmonary disease patients. In our study, we applied five machine-learning classifiers, namely random forests (RF), support vector machine (SVM), gradient boosting machine (GBM), XGboost (XGB), and K-nearest neighbor (KNN). These classifiers were trained with a set of 24 features. After that, we combined their results with a soft voting ensemble (SVE) method. Consequently, we found performance measures with an accuracy of 91.0849%, a precision of 90.7725%, a recall of 91.3607%, an F-measure of 91.0656%, and an AUC score of 96.8656%, respectively. Our result shows that the SVE classifier with the proposed twenty-four features outperformed regular machine-learning-based methods for chronic obstructive pulmonary disease (COPD) patients. The SVE classifier helps respiratory physicians to estimate the severity of COPD patients in the early stage, consequently guiding the cure strategy and helps the prognosis of COPD patients.

Though clinical practice guidelines (CPGs) for cardiac rehabilitation (CR) are an effective and widely used treatment method worldwide, they are as yet not widely accepted in Korea. Given that cardiovascular disease is the second leading cause of death in Korea, it is urgent that CR programs be developed. In 2008, the Government of Korea implemented CR programs at 11 university hospitals as part of its Regional Cardio-Cerebrovascular Center Project, and three additional medical facilities will be added in 2019. In addition, owing to the promotion of CR nationwide and the introduction of CR insurance benefits, 40 medical institutions nationwide have begun CR programs even as a growing number of medical institutions are preparing to offer CR. The purpose of this research was to develop evidence-based CPGs to support CR implementation in Korea. This study is based on an analysis of CPGs elsewhere in the world, an extensive literature search, a systematic analysis of multiple randomized control trials, and a CPG management, development, and assessment committee comprised of 33 authors-primarily rehabilitation specialists, cardiologists, and thoracic surgeons in 21 university hospitals and two general hospitals. Twelve consultants, primarily rehabilitation, sports medicine, and preventive medicine specialists, CPG experts, nurses, physical therapists, clinical nutritionists, and library and information experts participated in the research and development of these CPGs. After the draft guidelines were developed, three rounds of public hearings were held with staff members from relevant academic societies and stakeholders, after which the guidelines were further reviewed and modified. CR involves a more cost-effective use of healthcare resources relative to that of general treatments, and the exercise component of CR lowers cardiovascular mortality and readmission rates, regardless of the type of coronary heart disease and type and setting of CR. Individualized CR programs should be considered together with various factors, including differences in heart function and lifestyle, and doing so will boost participation and adherence with the CR program, ultimately meeting the final goals of the program, namely reducing the recurrence of myocardial infarction and mortality rates.

To investigate swallowing characteristics of patients with dysphagia caused by anterior cervical osteophytes (ACOs) and compare clinical courses according to treatment options. A retrospective analysis of 1,866 videofluoroscopic swallowing studies (VFSS) of patients with ACOs from electronic medical records was performed. Patients with other diseases that could explain the dysphagia were excluded. Dysphagia characteristics and severity and clinical and radiological characteristics of subjects with ACOs were evaluated. Dysphagia characteristics and clinical course were compared among three treatment groups: surgical treatment, swallowing rehabilitation, and conservative treatment. Subjects were 22 men and 1 woman with a mean age of 78.69±8.01 years. The mean osteophyte thickness was 9.07±3.84 mm. It was significantly thicker in the surgical group than that in other groups (p=0.01). ACOs were most frequently found at C5 level. This level also had the thickest osteophytes. However, videofluoroscopic dysphagia scales (VDS) were not significantly different among the three treatment groups. The pharyngeal phase score of the VDS was significantly higher in the surgical group (p=0.041). Dysphagia severity was decreased significantly in the surgical group at 3 months after the initial VFSS (p=0.004). The main swallowing characteristics in patients with ACOs were dysphagia features of the pharyngeal phase, including inappropriate airway protection, decreased laryngeal elevation, and reduced epiglottis inversion. When determining treatment options, it may be helpful to consider dysphagia severity at pharyngeal phase and osteophyte thickness.

Choi HE, et al. J Korean Med Sci. 2023 Apr;38(15):e119. https://doi.org/10.3346/jkms.2023.38.e119