Purpose: : This study aimed to comprehensively understand the work experience of the person in charge of the adequacy evaluation of small-and medium-sized hospitals and explore its meaning and essence in-depth. Methods: : This was a descriptive qualitative study. The study participants were 10 nurses who understood the purpose of this study and participated voluntarily. Data collection was conducted via in-depth interviews in January 2021. The interviews were conducted 1-2 times per participant and lasted approximately 40-50 minutes per session. Data analysis was performed using a qualitative content analysis. Results: : The work experience of the person in charge of the adequacy evaluation of small-and medium-sized hospitals included four themes: “difficulty in preparing for evaluation,” “negative views on evaluation,” “lack of a support system,” and “positive improvements and changes due to an evaluation.” Conclusion : Based on the above results, an education program and support system should be developed to strengthen the competence of nurses in charge of the adequacy evaluation of small- and medium-sized hospitals.

Benzo(a)pyrene (BaP) is a polycyclic aromatic hydrocarbon (PAH) that is easily introduced to humans via consumption of grilled or smoked meat. BaP causes harmful oxidative effects on cell development, growth and survival through an increase in membrane lipid peroxidation, oxidative DNA damage and mutagenesis. Therefore, the present study was conducted to evaluate the synergistic effects of BaP on oxidative stress in hepatic tumors. In this study, we established a hepatic tumor model by injecting rat hepatoma N1-S1 cells into healthy rats. Changes in the abundance of heat shock proteins (HSPs), antioxidant enzymes and pro-inflammatory cytokines were then investigated by western blot analysis. In addition, we examined changes in oxidative stress levels. Injection of N1-S1 cells or concomitant injection of BaP and N1-S1 cells resulted in the formation of hepatic tumors at the injection site. Evaluation of rat plasma reveals that hepatic tumors induced by BaP and N1-S1 cells expresses higher levels of Hsp27, superoxide dismutase (SOD), and tumor necrosis factor-alpha (TNF-alpha) when compared to those induced by N1-S1 cells only. The collective results of this study suggest that BaP exerts synergistic effects on the expression of HSP, cytokines and antioxidant enzymes in hepatic tumors induced by rat hepatoma N1-S1 cells.
Animals ; Antioxidants/*metabolism ; Benzo(a)pyrene/*pharmacology ; Carcinoma, Hepatocellular/metabolism/pathology ; Cell Line, Tumor/*drug effects ; Cytokines/*metabolism ; Heat-Shock Proteins/*metabolism ; Humans ; Liver Neoplasms/*enzymology/*metabolism/pathology ; Male ; Neoplasms, Experimental/metabolism/pathology ; Oxidative Stress/drug effects ; Rats ; Rats, Sprague-Dawley

PURPOSE: Considering the health impact of obesity and cancer, it is important to estimate the burden of cancer attributable to high body mass index (BMI). Therefore, the present study attempts to measure the health burden of cancer attributable to excess BMI, according to cancer sites. MATERIALS AND METHODS: The present study used nationwide medical check-up sample cohort data (2002-2015). The study subjects were 496,390 individuals (268,944 men and 227,446 women). We first calculated hazard ratio (HR) in order to evaluate the effect of excess BMI on cancer incidence and mortality. Then, the adjusted HR values and the prevalence of excess BMI were used to calculate the population attributable risk. This study also used the Global Burden of Disease method, to examine the health burden of obesity-related cancers attributable to obesity. RESULTS: The highest disability-adjusted life year (DALY) values attributable to overweight and obesity in men were shown in liver cancer, colorectal cancer, and gallbladder cancer. Among women, colorectal, ovarian, and breast (postmenopausal) cancers had the highest DALYs values attributable to overweight and obesity. Approximately 8.0% and 12.5% of cancer health burden (as measured by DALY values) among obesity-related cancers in men and women, respectively, can be prevented. CONCLUSION: Obesity has added to the health burden of cancer. By measuring the proportion of cancer burden attributable to excess BMI, the current findings provide support for the importance of properly allocating healthcare resources and for developing cancer prevention strategies to reduce the future burden of cancer.
Body Mass Index ; Breast ; Cohort Studies ; Colorectal Neoplasms ; Delivery of Health Care ; Female ; Gallbladder Neoplasms ; Humans ; Incidence ; Korea ; Liver Neoplasms ; Male ; Methods ; Mortality ; Obesity ; Overweight ; Prevalence

PURPOSE: The objective of this study was to review the clinical outcome and prognosis of patients with sporadic and hereditary medullary thyroid cancer (MTC) who were treated at a single tertiary hospital in Korea. METHODS: We retrospectively reviewed the case files of 85 patients treated from August 1982 to February 2012. RESULTS: In all, 65 patients (76.5%) had sporadic MTC and 20 patients (23.5%) had hereditary MTC. Patients in the sporadic group were older than in the hereditary group (P < 0.001). However, the hereditary group had more tumor multiplicity (P < 0.001) and bilaterality (P < 0.001). Neither survival rate was significantly different between the sporadic and hereditary groups (P = 0.775 and P = 0.866). By multivariate analysis, distant metastasis was a significant prognostic factor for overall and progression-free survival. CONCLUSION: In general, patients with MTC have favorable outcomes. Distant metastasis appears to be the strongest predictor of overall and progression-free survival.
Disease-Free Survival ; Humans ; Korea* ; Multivariate Analysis ; Neoplasm Metastasis ; Prognosis ; Retrospective Studies ; Survival Rate ; Tertiary Care Centers ; Thyroid Gland* ; Thyroid Neoplasms*

PURPOSE: The diffuse sclerosing variant of papillary thyroid carcinoma (DSPTC) is a rare histological subtype characterized by unique morphological features and aggressive behavior. The aim of this study was to evaluate the clinocopathologic features and outcome of DSPTC over 17 years. METHODS: Twenty-six cases of DSPTC (0.5%) were identified among 5,527 patients with papillary thyroid carcinoma treated between July 1990 and June 2007 at the Department of Surgery, Yonsei University College of Medicine. The clinicopathological features and outcome of these patients with DSPTC were evaluated. The median follow-up period was 46 months (range, 1~202 months). RESULTS: Twenty patients were females and 6 were males, the age ranged from 5 to 70 years (median 30.5 years). Histologically, most of the patients demonstrated diffuse involvement of one or both lobes of the thyroid, variable degree of lymphocytic infiltration, squamous metaplasia, psammoma bodies, extensive sclerosis and extracapsular extension, along with a high incidence of lateral neck node metastases (17/26, 65.4%). Treatment was by complete surgical resection by means of a total thyroidectomy (24/26, 92.3%), modified radical neck dissection (17/26, 65.4%) and postoperative radioactive iodine therapy (22/26, 84.6%). Recurrences were noted in 6 cases (5 locoregional recurrence and 1 distant metastasis in bone). One patient died of an unrelated disease. The 10-year overall survival and disease specific survival rates were 83.8% and 100%, retrospectively, but disease free survival was 48.0%. CONCLUSION: DSPTC showed an unfavorable clinical course with a low overall disease free survival. An aggressive therapeutic approach and close follow-up are recommended.
Carcinoma ; Disease-Free Survival ; Female ; Follow-Up Studies ; Humans ; Incidence ; Iodine ; Male ; Metaplasia ; Neck ; Neck Dissection ; Neoplasm Metastasis ; Recurrence ; Retrospective Studies ; Sclerosis ; Survival Rate ; Thyroid Gland ; Thyroid Neoplasms ; Thyroidectomy

PURPOSE: The use of prostate-specific antigen as a biomarker for prostate cancer (PC) has been controversial and is, therefore, not used by many countries in their national health screening programs. The biological characteristics of PC in East Asians including Koreans and Japanese are different from those in the Western populations. Potential lifestyle risk factors for PC were evaluated with the aim of developing a risk prediction model. MATERIALS AND METHODS: A total of 1,179,172 Korean men who were cancer free from 1996 to 1997, had taken a physical examination, and completed a lifestyle questionnaire, were enrolled in our study to predict their risk for PC for the next eight years, using the Cox proportional hazards model. The model’s performance was evaluated using the C-statistic and Hosmer–Lemeshow type chi-square statistics. RESULTS: The risk prediction model studied age, height, body mass index, glucose levels, family history of cancer, the frequency of meat consumption, alcohol consumption, smoking status, and physical activity, which were all significant risk factors in a univariate analysis. The model performed very well (C statistic, 0.887; 95% confidence interval, 0.879 to 0.895) and estimated an elevated PC risk in patients who did not consume alcohol or smoke, compared to heavy alcohol consumers (hazard ratio [HR], 0.78) and current smokers (HR, 0.73) (p < 0.001). CONCLUSION: This model can be used for identifying Korean and other East Asian men who are at a high risk for developing PC, as well as for cancer screening and developing preventive health strategies.
Alcohol Drinking ; Asian Continental Ancestry Group ; Body Height ; Decision Support Techniques ; Early Detection of Cancer ; Forecasting ; Glucose ; Humans ; Life Style* ; Male ; Mass Screening ; Meat ; Motor Activity ; Physical Examination ; Population Characteristics ; Proportional Hazards Models ; Prostate* ; Prostate-Specific Antigen ; Prostatic Neoplasms* ; Risk Factors ; Smoke ; Smoking

PURPOSE: Prolonged immunosuppression after kidney transplantation (KT) is known to increase the risk of various cancers; however, few studies on posttransplant thyroid carcinoma (TC) have been reported in the literature. We investigated the incidence of posttransplant malignancies (PTMs) and the clinicopathological features of postransplant TC. METHODS: We conducted a retrospective study of 1,622 patients who underwent KT from Mar. 1969 to Dec. 2008. Overall incidence and the standardized incidence ratio (SIR) of posttransplant TC according to the 2007 annual report of the Korea Cancer Center Registry were calculated. RESULTS: During the mean follow-up period of 109 months, 137 (8.4%) recipients were identified as having PTM, including five males and seven females with papillary TC. (0.74%) SIR of the TC was 12.4 in males and 0.5 in females. During the mean follow-up period of 69.1 months, three (25.0%) patients with TC developed loco-regional recurrence. CONCLUSION: Overall incidence of TC was higher compared to the general Korean population (0.74% vs 0.04%) without differences in gender distribution (P=0.086) and higher tendency of locoregional recurrence in clinical carcinoma (P=0.0512). Therefore, to ensure early detection and favorable outcome of posttransplant TC, frequent surveillance using ultrasonography and prophylactic central neck dissection should be considered.
Allografts* ; Female ; Follow-Up Studies ; Humans ; Immunosuppression ; Incidence* ; Kidney Transplantation ; Korea ; Male ; Neck Dissection ; Recurrence ; Retrospective Studies ; Thyroid Neoplasms* ; Ultrasonography

BACKGROUND: South Korea operates a Medical Aid (MA) program targeting selected low-income individuals to ensure medical service delivery to the disadvantaged while enhancing self-sufficiency of work-capable beneficiaries. However, as reasons behind welfare exits are diverse and do not always infer poverty relief or the provision of appropriate levels of health care services, this study aimed to investigate the association between changes in MA status and health care utilization. METHODS: This study used the 2006 to 2015 National Health Insurance claims data. The impact of changes in annual MA status on health care utilization (yearly number of outpatient visits, inpatient visits, length of stay, and emergency department [ED] visits) was investigated using the generalized estimating equation model. RESULTS: In 117,943 adult subjects aged 20 to 64, compared to the ‘MA to MA’ group, the ‘MA to MA exit’ group showed general decreases in utilization (outpatient visits: β=−3.93, p<0.0001; hospital admissions: relative risk [RR], 0.87; 95% confidence interval [CI], 0.83–0.91; length of stay: β=−3.64, p<0.0001; ED visits: RR, 0.83; 95% CI, 0.77–0.90). Similar patterns were found in the ‘MA exit to MA exit’ group (outpatient visits: β=−5.72, p<0.0001; admissions: RR, 0.91; 95% CI, 0.87–0.94; length of stay: β=−5.87; p<0.0001; ED visits: RR, 0.81; 95% CI, 0.75–0.88). Likewise, in 74,747 older adult subjects aged 65 or above, the ‘MA to MA exit’ group showed reduced levels of utilization (outpatient visits: β=−1.51; p=0.0020), as well as the ‘MA exit to MA exit’ group (admissions: RR, 0.92; 95% CI, 0.89–0.95; length of stay: β, −5.45; p<0.0001; ED visits: RR, 0.90; 95% CI, 0.83–0.97). CONCLUSION MA exit was associated with general decreases in health care utilization. Utilization patterns of individuals with experiences of receiving MA benefits should be monitored to promote the ideal use of health care services while preventing potential financial barriers present in accessing medical care.

Objective: With the recent development of various MRI-conditional cardiac implantable electronic devices (CIEDs), the accurate identification and characterization of CIEDs have become critical when performing MRI in patients with CIEDs. We aimed to develop and evaluate a deep learning-based algorithm (DLA) that performs the detection and characterization of parameters, including MRI safety, of CIEDs on chest radiograph (CR) in a single step and compare its performance with other related algorithms that were recently developed. Materials and Methods: We developed a DLA (X-ray CIED identification [XCID]) using 9912 CRs of 958 patients with 968 CIEDs comprising 26 model groups from 4 manufacturers obtained between 2014 and 2019 from one hospital. The performance of XCID was tested with an external dataset consisting of 2122 CRs obtained from a different hospital and compared with the performance of two other related algorithms recently reported, including PacemakerID (PID) and Pacemaker identification with neural networks (PPMnn). Results: The overall accuracies of XCID for the manufacturer classification, model group identification, and MRI safety characterization using the internal test dataset were 99.7% (992/995), 97.2% (967/995), and 98.9% (984/995), respectively. These were 95.8% (2033/2122), 85.4% (1813/2122), and 92.2% (1956/2122), respectively, with the external test dataset. In the comparative study, the accuracy for the manufacturer classification was 95.0% (152/160) for XCID and 91.3% for PPMnn (146/160), which was significantly higher than that for PID (80.0%,128/160; p < 0.001 for both). XCID demonstrated a higher accuracy (88.1%; 141/160) than PPMnn (80.0%; 128/160) in identifying model groups (p < 0.001). Conclusion The remarkable and consistent performance of XCID suggests its applicability for detection, manufacturer and model identification, as well as MRI safety characterization of CIED on CRs. Further studies are warranted to guarantee the safe use of XCID in clinical practice.

Background: Conventional modality requires several days observation by Holter monitor to differentiate atrial fibril‑ lation (AF) between Paroxysmal atrial fibrillation (PAF) and Non-paroxysmal atrial fibrillation (Non-PAF). Rapid and practical differentiating approach is needed. Objective: To develop a machine learning model that observes 10-s of standard 12-lead electrocardiograph (ECG) for real-time classification of AF between PAF versus Non-PAF. Methods: In this multicenter, retrospective cohort study, the model training and cross-validation was performed on a dataset consisting of 741 patients enrolled from Severance Hospital, South Korea. For cross-institutional validation, the trained model was applied to an independent data set of 600 patients enrolled from Ewha University Hospital, South Korea. Lasso regression was applied to develop the model. Results: In the primary analysis, the Area Under the Receiver Operating Characteristic Curve (AUC) on the test set for the model that predicted AF subtype only using ECG was 0.72 (95% CI 0.65–0.80). In the secondary analysis, AUC only using baseline characteristics was 0.53 (95% CI 0.45–0.61), while the model that employed both baseline characteris‑ tics and ECG parameters was 0.72 (95% CI 0.65–0.80). Moreover, the model that incorporated baseline characteristics, ECG, and Echocardiographic parameters achieved an AUC of 0.76 (95% CI 0.678–0.855) on the test set. Conclusions Our machine learning model using ECG has potential for automatic differentiation of AF between PAF versus Non-PAF achieving high accuracy. The inclusion of  Echocardiographic parameters further increases model per‑ formance. Further studies are needed to clarify the next steps towards clinical translation of the proposed algorithm.