Background: In Korea, tests for evaluating respiratory muscle strength are based on other countries’ clinical experience or standards, which can lead to subjective evaluations. When evaluating respiratory function based on the standards of other countries, several variables, such as the race and cultures of different countries, make it difficult to apply these standards. The purpose of this study was to propose objective respiratory muscle strength standards and predicted values for healthy Korean adults based on age, height, weight, and muscle strength, by measuring maximal inspiratory pressure (MIP), maximal expiratory pressure (MEP), and peak cough flow (PCF). Methods: This cross-sectional study analyzed MIP, MEP, and PCF in 360 people, each group comprising 30 adult men and women aged 20–70, diagnosed as healthy after undergoing medical check-ups at a general hospital. Hand grip strength (HGS) and the five times sitto-stand test (FTSST) results were also recorded. Correlations among respiratory muscle strength, participant demographics, and overall muscle strength were evaluated using Pearson’s correlation analysis. The predicted values of respiratory muscle strength were calculated using multiple regression analysis. Results: Respiratory muscle strength differed from the values reported in studies from other countries. In the entire samples, both MIP and MEP had the highest correlations with peak HGS (r= 0.643, r = 0.693; P < 0.05), while PCF had the highest correlation with forced expiratory volume in 1 s (r = 0.753; P < 0.05). Age, body mass index, peak HGS, and FTSST results were independent variables affecting respiratory muscle strength. A predictive equation for respiratory muscle strength was developed using the multiple regression equation developed in this study. Conclusion Respiratory muscle strength index may differ by country. For more accurate diagnoses, standard values for each country are required. This study presents reference values for Korea, and a formula for estimation is proposed when no respiratory muscle strength measurement equipment is available.Trial Registration: Clinical Research Information Service Identifier: KCT0006778

The new Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations without a race coefficient have gained recognition across the United States. We aimed to test whether these new equations performed well in Korean patients with chronic kidney disease (CKD). Methods: This study included 2,149 patients with CKD G1–G5 without kidney replacement therapy from the Korean Cohort Study for Outcome in Patients with CKD (KNOW-CKD). The estimated glomerular filtration rate (eGFR) was calculated using the new CKD-EPI equations with serum creatinine and cystatin C. The primary outcome was 5-year risk of kidney failure with replacement therapy (KFRT). Results: When we adopted the new creatinine equation [eGFRcr (NEW)], 81 patients (23.1%) with CKD G3a based on the current creatinine equation (eGFRcr) were reclassified as CKD G2. Accordingly, the number of patients with eGFR of <60 mL/min/1.73 m2 decreased from 1,393 (64.8%) to 1,312 (61.1%). The time-dependent area under the receiver operating characteristic curve for 5-year KFRT risk was comparable between the eGFRcr (NEW) (0.941; 95% confidence interval [CI], 0.922–0.960) and eGFRcr (0.941; 95% CI, 0.922–0.961). The eGFRcr (NEW) showed slightly better discrimination and reclassification than the eGFRcr. However, the new creatinine and cystatin C equation [eGFRcr-cys (NEW)] performed similarly to the current creatinine and cystatin C equation. Furthermore, eGFRcr-cys (NEW) did not show better performance for KFRT risk than eGFRcr (NEW). Conclusion: Both the current and the new CKD-EPI equations showed excellent predictive performance for 5-year KFRT risk in Korean patients with CKD. These new equations need to be further tested for other clinical outcomes in Koreans.

Pancreatic pseudoaneurysm is a potentially life-threatening complication often associated with pancreatitis or pancreatic surgery. As the rupture of pancreatic pseudoaneurysms can lead to catastrophic bleeding and is associated with high mortality rates, clinical suspicion and early diagnosis are essential to improve patient outcomes. In the management of pseudoaneurysms, transarterial embolization (TAE) could be effective; however, there have been limited local studies on the outcomes of TAE for patients with pseudoaneurysm rupture associated with pancreatitis. Here, we describe patients who were diagnosed with pseudoaneruysm rupture associated with pancreatitis and treated with TAE.

Objective: Extramammary Paget’s disease (EMPD) of the vulva is a rare disease which predominantly presents in postmenopausal Caucasian women. As yet, no studies on Asian female patients with EMPD have been performed. This study aimed to identify the clinical features of patients with vulvar EMPD in Korea, and to evaluate the risk factors of recurrence and postoperative complications in surgically treated EMPD. Methods: We retrospectively reviewed 47 patients with vulvar EMPD who underwent wide local excision or radical vulvectomy. The clinical data and surgical and oncological outcomes following surgery were extracted from medical records and analyzed. Univariate and multivariate analyses for predicting recurrence and postoperative complications were performed. Results: 21.3% of patients had complications after surgery, and wound dehiscence was the most common. 14.9% of patients experienced recurrence, and the median interval to recurrence from initial treatment was 69 (range 33–169) months. Vulvar lesions larger than 40 mm was the independent risk factor of postoperative complications (odds ratio [OR]=7.259; 95% confidence interval [CI]=1.545–34.100; p=0.012). Surgical margin status was not associated with recurrence in surgically treated vulvar EMPD patients (OR=0.83; 95% CI=0.16–4.19; p=1.000). Conclusion Positive surgical margin is a frequent finding in the patients with vulvar EMPD, but disease recurrence is not related with surgical margin status. Since EMPD is a slow growing tumor, a surveillance period longer than 5 years is required.

Ehlers-Danlos syndrome (EDS) is a very rare genetic disorder characterized by defects in the production of connective tissue. Among them, vascular EDS is the subtype known to have the worst prognosis due to fragile blood vessels. Accordingly, we would like to report a case report of a patient with vascular EDS with a review of the literature on possible massive transfusion and anesthesiological problems. Patients with vascular EDS have very weak blood vessels and tissues that are easily broken. So there is a high possibility of unexpected massive bleeding during emergency surgery in these patients. Therefore, the anesthesiologist should be fully prepared for the possibility of massive blood loss, keeping in mind the possibility of damage to large blood vessels. The central vein must be secured using ultrasound, sufficient blood and fluids must be prepared, and equipment capable of rapid administration must be perfectly prepared before the start of operation.

Objective: The aim of this study was to examine the incidence and outcomes of pediatric out-of-hospital cardiac arrests (OHCA) in Changwon city, South Korea. Methods: From the Out-of-Hospital Cardiac Arrest Surveillance registry and the Changwon Fire Department’s Emergency Medical Services data, we obtained a list of 119 assessed pediatric OHCAs occurred between January 2012 and December 2018. We analyzed basic demographic variables, the location of cardiac arrest, witnessed status, bystander cardiopulmonary resuscitation (CPR), time variables for CPR, dispatcher-assisted CPR, initial cardiac rhythm, automated defibrillator use, and clinical outcomes at hospital discharge. Results: A total of 2,954 OHCAs occurred during the study period, of which 72 were pediatric OHCAs. The rate of witnessed cardiac arrest was 30.6% (22/72), and bystander CPR was performed in 29 patients (40.3%). The rate of cardiac arrest occurring in public places was 16.7% (12/72). The rate of shockable rhythm in the initial electrocardiogram rhythm was 8.3% (6/72). Twelve patients (16.7%) survived to admission. The proportion of survivors discharged was 4.3% (3/70), and the rate of discharge with a good prognosis was 2.8% (2/70). Conclusion The incidence rate of pediatric OHCA was low in Changwon city. The survival rate was also low. Thus, studies with larger sample sizes and continuous monitoring in the community are needed.

Background: To analyze the factors associated with women's vasomotor symptoms (VMS) using machine learning. Methods: Data on 3,298 women, aged 40–80 years, who attended their general health check-up from January 2010 to December 2012 were obtained from Korea University Anam Hospital in Seoul, Korea. Five machine learning methods were applied and compared for the prediction of VMS, measured by the Menopause Rating Scale. Variable importance, the effect of a variable on model performance, was used for identifying the major factors associated with VMS. Results: In terms of the mean squared error, the random forest (0.9326) was much better than linear regression (12.4856) and artificial neural networks with one, two, and three hidden layers (1.5576, 1.5184, and 1.5833, respectively). Based on the variable importance from the random forest, the most important factors associated with VMS were age, menopause age, thyroid-stimulating hormone, and monocyte, triglyceride, gamma glutamyl transferase, blood urea nitrogen, cancer antigen 19-9, C-reactive protein, and low-density lipoprotein cholesterol levels. Indeed, the following variables were ranked within the top 20 in terms of variable importance: cancer antigen 125, total cholesterol, insulin, free thyroxine, forced vital capacity, alanine aminotransferase, forced expired volume in 1 second, height, homeostatic model assessment for insulin resistance, and carcinoembryonic antigen. Conclusion Machine learning provides an invaluable decision support system for the prediction of VMS. For managing VMS, comprehensive consideration is needed regarding thyroid function, lipid profile, liver function, inflammation markers, insulin resistance, monocyte count, cancer antigens, and lung function.

Background: To analyze the factors associated with women's vasomotor symptoms (VMS) using machine learning. Methods: Data on 3,298 women, aged 40–80 years, who attended their general health check-up from January 2010 to December 2012 were obtained from Korea University Anam Hospital in Seoul, Korea. Five machine learning methods were applied and compared for the prediction of VMS, measured by the Menopause Rating Scale. Variable importance, the effect of a variable on model performance, was used for identifying the major factors associated with VMS. Results: In terms of the mean squared error, the random forest (0.9326) was much better than linear regression (12.4856) and artificial neural networks with one, two, and three hidden layers (1.5576, 1.5184, and 1.5833, respectively). Based on the variable importance from the random forest, the most important factors associated with VMS were age, menopause age, thyroid-stimulating hormone, and monocyte, triglyceride, gamma glutamyl transferase, blood urea nitrogen, cancer antigen 19-9, C-reactive protein, and low-density lipoprotein cholesterol levels. Indeed, the following variables were ranked within the top 20 in terms of variable importance: cancer antigen 125, total cholesterol, insulin, free thyroxine, forced vital capacity, alanine aminotransferase, forced expired volume in 1 second, height, homeostatic model assessment for insulin resistance, and carcinoembryonic antigen. Conclusion Machine learning provides an invaluable decision support system for the prediction of VMS. For managing VMS, comprehensive consideration is needed regarding thyroid function, lipid profile, liver function, inflammation markers, insulin resistance, monocyte count, cancer antigens, and lung function.