The novel UCDC system presented in this paper improved multiple metabolic parameters simultaneously in overweight patients with both Type 2 diabetes and hypertension.

BackgroundWe aimed to assess the efficacy of the smartphone-based health application for glucose control and patient satisfaction with the mobile network system used for glucose self-monitoring.MethodsThirty-five patients were provided with a smartphone device, and self-measured blood glucose data were automatically transferred to the medical staff through the smartphone application over the course of 12 weeks. The smartphone user group was divided into two subgroups (more satisfied group vs. less satisfied group) based on the results of questionnaire surveys regarding satisfaction, comfort, convenience, and functionality, as well as their willingness to use the smartphone application in the future. The control group was set up via a review of electronic medical records by group matching in terms of age, sex, doctor in charge, and glycated hemoglobin (HbA1c).ResultsBoth the smartphone group and the control group showed a tendency towards a decrease in the HbA1c level after 3 months (7.7%±0.7% to 7.5%±0.7%, P=0.077). In the more satisfied group (n=27), the HbA1c level decreased from 7.7%±0.8% to 7.3%±0.6% (P=0.001), whereas in the less satisfied group (n=8), the HbA1c result increased from 7.7%±0.4% to 8.1%±0.5% (P=0.062), showing values much worse than that of the no-smartphone control group (from 7.7%±0.5% to 7.7%±0.7%, P=0.093).ConclusionIn addition to medical feedback, device and network-related patient satisfaction play a crucial role in blood glucose management. Therefore, for the smartphone app-based blood glucose monitoring to be effective, it is essential to provide the patient with a well-functioning high quality tool capable of increasing patient satisfaction and willingness to use.

The IBGMS was effective in improving blood sugar levels among patients with diabetes. Therefore, IBGMS experience can be effectively transferred between institutions and countries.

The ACC/AHA 2013 guideline recommends high-intensity statin therapy for a decrease in low-density lipoprotein cholesterol (LDL-C) level by >50% among patients with baseline values of ≥190 mg/dL (approximately 4.872 mmol/L); however, this value should be modified before applying it to Korean populations. We investigated the statin-specific LDL-C-lowering effects in Korean patients with baseline LDL-C value ≥4.872 mmol/L. Data of patients prescribed a statin for the first time from January 2009 to December 2013 were assessed. In patients with baseline LDL-C value ≥4.872 mmol/L, laboratory data for a maximum of 6 months from the date of first statin prescription were collected. Among 33,721 patients who were prescribed a statin for the first time, 655 patients had a baseline LDL-C value ≥4.872 mmol/L (1.9%). Of these, 179 patients were analysed. Patients receiving moderate-intensity statins were divided into two groups based on LDL-C reduction rate (p = 0.0002), defined as moderate-high-intensity (atorvastatin 20 mg, rosuvastatin 10 mg, simvastatin 20 mg) and moderate-low-intensity (atorvastatin 10 mg, pitavastatin 2 mg, pravastatin 40 mg) statin groups. LDL-C reduction rates did not significantly differ between the moderate-high- and high-intensity statin groups (p = 0.4895). We found that some moderate-intensity statins demonstrated a LDL-C-lowering effect of more than 50% in Korean patients with a baseline LDL-C value ≥4.872 mmol/L. Our results reflect the need of a large-scale, randomized, controlled trial on partial reclassification of statins for patients with baseline LDL-C value ≥4.872 mmol/L before adopting ACC/AHC guidelines in Korea.

BackgroundThe increasing use of electronic medical record (EMR) systems for documenting clinical medical data has led to EMR data being increasingly accessed for clinical trials. In this study, a database of patients who were prescribed statins for the first time was developed using EMR data. A clinical data mart (CDM) was developed for cohort study researchers.MethodsSeoul St. Mary's Hospital implemented a clinical data warehouse (CDW) of data for ~2.8 million patients, 47 million prescription events, and laboratory results for 150 million cases. We developed a research database from a subset of the data on the basis of a study protocol. Data for patients who were prescribed a statin for the first time (between the period from January 1, 2009 to December 31, 2015), including personal data, laboratory data, diagnoses, and medications, were extracted.ResultsWe extracted initial clinical data of statin from a CDW that was established to support clinical studies; the data was refined through a data quality management process. Data for 21,368 patients who were prescribed statins for the first time were extracted. We extracted data every 3 months for a period of 1 year. A total of 17 different statins were extracted. It was found that statins were first prescribed by the endocrinology department in most cases (69%, 14,865/21,368).ConclusionStudy researchers can use our CDM for statins. Our EMR data for statins is useful for investigating the effectiveness of treatments and exploring new information on statins. Using EMR is advantageous for compiling an adequate study cohort in a short period.