Mi‐Hyang Jung

Type 2 diabetes (T2D) is characterized by reduction of beta-cell mass and dysfunctional insulin secretion. Understanding beta-cell phenotype changes as T2D progresses should help explain these abnormalities. The normal phenotype should differ from the state of overwork when beta-cells compensate for insulin resistance to keep glucose levels normal. When only mild hyperglycaemia develops, beta-cells are subjected to glucotoxicity. As hyperglycaemia becomes more severe, so does glucotoxicity. beta-Cells in all four of these situations should have separate phenotypes. When assessing phenotype with gene expression, isolated islets have artefacts resulting from the trauma of isolation and hypoxia of islet cores. An advantage comes from laser capture microdissection (LCM), which obtains beta-cell-rich tissue from pancreatic frozen sections. Valuable data can be obtained from animal models, but the real goal is human beta-cells. Our experience with LCM and gene arrays on frozen pancreatic sections from cadaver donors with T2D and controls is described. Although valuable data was obtained, we predict that the approach of taking fresh samples at the time of surgery is an even greater opportunity to markedly advance our understanding of how beta-cell phenotype evolves as T2D develops and progresses.

OBJECTIVE: Patients with type 2 diabetes mellitus are at greater risk of bone fractures than nondiabetics. However, the risk factors for fractures in patients with diabetes have not been fully evaluated. This study was designed to evaluate the relative frequency of fractures at different sites and the diabetes-associated factors that affect nontraumatic bone fracture in patients with type 2 diabetes. PATIENTS AND DESIGN: This retrospective case-control study recruited 144 patients with type 2 diabetes, who presented with nontraumatic fractures between March 2004 and March 2009 and 150 age-, gender-, body mass index (BMI)- and duration of diabetes-matched control subjects. Nontraumatic fractures were confirmed using patients' medical records and radiological findings. All subjects were examined for their diabetes status and associated factors for fracture, including bone mineral density (BMD). RESULTS: Of 150 reported bone fractures, the hip was the most frequent fracture site (32·7%), followed by the upper extremity (19·3%). Nontraumatic fractures were associated with diabetic retinopathy, diabetic peripheral neuropathy, stroke history, previous fracture and insulin treatment (P < 0·05). In multivariate analyses, independently associated factors for bone fracture were diabetic peripheral neuropathy [odds ratio (OR) = 37·3, 95% confidence interval (CI) = 1·46-652·57] and previous fracture (OR = 9·54, 95% CI = 1·18-77·37; P < 0·05). CONCLUSIONS: The hip was the most frequent site of nontraumatic fracture, and diabetic peripheral neuropathy was significantly associated with an increased risk of nontraumatic fractures in patients with type 2 diabetes.

Background and Objectives: The number of people with heart failure (HF) is increasing worldwide, and the social burden is increasing as HF has high mortality and morbidity. We aimed to provide updated trends on the epidemiology of HF in Korea to shape future social measures against HF. Methods: We used the National Health Information Database of the National Health Insurance Service to determine the prevalence, incidence, hospitalization rate, mortality rate, comorbidities, in-hospital mortality, and healthcare cost of patients with HF from 2002 to 2020 in Korea. Results: The prevalence of HF in the total Korean population rose from 0.77% in 2002 to 2.58% (1,326,886 people) in 2020. Although the age-standardized incidence of HF decreased over the past 18 years, the age-standardized prevalence increased. In 2020, the hospitalization rate for any cause in patients with HF was 1,166 per 100,000 persons, with a steady increase from 2002. In 2002, the HF mortality was 3.0 per 100,000 persons, which rose to 15.6 per 100,000 persons in 2020. While hospitalization rates and in-hospital mortality for patients with HF increased, the mortality rate for patients with HF did not (5.8% in 2020), and the one-year survival rate from the first diagnosis of HF improved. The total healthcare costs for patients with HF were approximately $2.4 billion in 2020, a 16-fold increase over the $0.15 billion in 2002. Conclusions: The study's results underscore the growing socioeconomic burden of HF in Korea, driven by an aging population and increasing HF prevalence.

OBJECTIVE: Home blood pressure (BP) monitoring offers clinically relevant information enriched with more abundant data. However, there are few studies addressing the reliability of home BP devices and the quality of its data. This study aimed to evaluate the current status of home BP devices in terms of validation and accuracy. PARTICIPANTS AND METHODS: Hypertensive patients with automated upper arm-type BP devices were consecutively enrolled. First, the validation status of each device was assessed through the website. Next, the accuracy of the individual device was evaluated by comparing the mean BP values between the automated device and a mercury sphygmomanometer. Accuracy of the device was defined as having less than a 5 mmHg difference in the mean BP values. RESULTS: A total of 212 individuals were analyzed; 38.7% (82 of 212) of the participants used validated devices and 85.4% (181 of 212) were accurate. Inaccuracy was more common with nonvalidated devices than validated devices [19.2% (n=25) vs. 7.3% (n=6), P=0.017]. The range of inaccuracy of the validated devices was 6-26 mmHg for the systolic BP and 6-11 mmHg for the diastolic BP. CONCLUSION: The present study showed that nonvalidated devices are used widely in clinical practice and a substantial portion is inaccurate. Therefore, recommendation of validated devices should be the first step. Furthermore, all devices need to be examined for accuracy before use irrespective of their validation status.

Background Cardiovascular disease is an important cause of mortality among survivors of breast cancer (BC). We developed a prediction model for major adverse cardiovascular events after BC therapy, which is based on conventional and BC treatment‐related cardiovascular risk factors. Methods and Results The cohort of the study consisted of 1256 Asian female patients with BC from 4 medical centers in Korea and was randomized in a 1:1 ratio into the derivation and validation cohorts. The outcome measures comprised cardiovascular mortality, myocardial infarction, congestive heart failure, and transient ischemic attack/stroke. To correct overfitting, a penalized Cox proportional hazards regression was performed with a cross‐validation approach. Number of cardiovascular diseases (myocardial infarction, peripheral artery disease, heart failure, and transient ischemic attack/stroke), number of baseline cardiovascular risk factors (hypertension, age ≥60, body mass index ≥30 kg/m 2 , estimated glomerular filtration rate &lt;60 mL/min per 1.73 m 2 , dyslipidemia, and diabetes mellitus), radiation to the left breast, and anthracycline dose per 100 mg/m 2 were included in the risk prediction model. The time‐dependent C‐indices at 3 and 7 years after BC diagnosis were 0.876 and 0.842, respectively, in the validation cohort. Conclusions A prediction score model, including BC treatment‐related risk factors and conventional risk factors, was developed and validated to predict major adverse cardiovascular events in patients with BC. The CHEMO‐RADIAT (congestive heart failure, hypertension, elderly, myocardial infarction/peripheral artery occlusive disease, obesity, renal failure, abnormal lipid profile, diabetes mellitus, irradiation of the left breast, anthracycline dose, and transient ischemic attack/stroke) score may provide overall cardiovascular risk stratification in survivors of BC and can assist physicians in multidisciplinary decision‐making regarding the BC treatment.