Feasibility of Emotional Freedom Techniques in Patients with Posttraumatic Stress Disorder: a pilot study.

Objectives: Posttraumatic stress disorder (PTSD) is a prevalent mental health condition, and techniques using sensory stimulation in processing traumatic memories have gained attention. The Emotional Freedom Techniques (EFT) is a psychotherapy that combines tapping on acupoints with exposure to cognitive reframing. This pilot study aimed to assess the feasibility of EFT as a treatment for PTSD by answering the following research questions 1) What is the compliance and completion rate of patients with PTSD with regard to EFT protocol? Is the dropout rate reasonable? 2) Is the effect size of EFT protocol for PTSD sufficient to justify a future trial? Methods: Thirty participants diagnosed with PTSD were recruited. They received weekly EFT sessions for five weeks, in which they repeated a statement acknowledging the problem and accepting themselves while tapping the SI3 acupoint on the side of their hand. PTSD symptoms were evaluated using the PTSD Checklist for DSM-5 (PCL-5) before and after the intervention. Results: Of the 30 PTSD patients (mean age 34.1 ± 9.1, 80% female), 96.7% showed over 80% compliance to the EFT sessions, and 86.7% completed the entire study process. The mean PCL-5 total score decreased significantly after the intervention, with a large effect size (change from baseline -14.33 [95% CI -19.79, -8.86], p < 0.0001, d = 1.06). Conclusion: The study suggests that EFT is a feasible treatment for PTSD, with high session compliance and low dropout rates. The effect size observed in this study supports the need for a larger trial in the future to further investigate EFT as a treatment for PTSD. However, the lack of a control group and the use of a self-rated questionnaire for PTSD symptoms are limitations of this study. The findings of this pilot study can be used to plan a future trial.

Feasibility of Applying the OMOP Common Data Model to Traditional Eastern Asian Medicine Dataset.

To evaluate the feasibility of applying the Observational Medical Outcome Partnership (OMOP) Common Data Model (CDM) to databases of traditional East Asian medicine (TEAM), we composed a TEAM dataset and transformed it to the OMOP CDM. We found that some important TEAM information entities could not be transformed to the OMOP CDM (version 6.0) data fields. We suggest to develop data fields and guideline for transforming TEAM data to the OMOP CDM.

Weight Control Registry Using Korean Medicine: A Protocol for a Prospective Registry Study.

Lifestyle and physical characteristics affect body weight, and understanding these factors improves the precision of weight loss treatment. Many obese patients in Korea are receiving Korean medicine (KM) treatment, including herbal medicine and acupuncture, for weight loss. However, the real-world data (RWD) are insufficient in terms of being longitudinal and diverse. Weight Control Registry using KM is a prospective registry study that enrolls patients receiving KM treatment for weight loss and collects RWD from multiple clinics. The patients who are eligible for this study are aged 19-65 years, receive KM weight loss treatment, understand the study objectives, and consent voluntarily. Clinical data of patient characteristics and KM treatment patterns will be regularly collected until 2026. The longitudinal accumulation of various RWD will establish a high-quality study database for KM weight loss treatment. With this study, we expect to contribute to understanding the current trend of weight loss treatment with KM and solve further questions regarding this treatment.

Herbal Medicine Prescriptions for Functional Dyspepsia: A Nationwide Population-Based Study in Korea.

BACKGROUND: Herbal medicine is widely used for the treatment of functional dyspepsia (FD) in East Asian countries. We aimed to analyze the prescription patterns of herbal medicine for patients with FD in Korean medicine clinical settings through the analysis of national health insurance claims data over the past 10 years and to check how herbal medicine has been used for FD within the scope of national health insurance. METHODS: All prescription data claimed to the Health Insurance Review and Assessment Service with the diagnosis of FD and herbal medicine prescriptions in 2010-2019 were reviewed. We estimated the demographics, clinical characteristics, and annual prescription amount and cost of each herbal medicine. Frequent comorbidities of FD were investigated by analyzing the frequency of the Korean standard classification of diseases codes used together with FD. RESULTS: In total, 19,388,248 herbal medicine prescriptions were identified. Herbal medicine prescriptions were mostly claimed by women, the elderly, outpatients at Korean medicine clinics, and national health insurance; the number increased every year. The most frequently prescribed herbal medicine was Pingwei-san (Pyeongwi-san) (31.12%), followed by Xiangshapingwei-san (Hyangsapyeongwi-san) (23.20%), Qiongxia-tang (Gungha-tang) (6.31%), and Banxiaxiexin-tang (Banhasasim-tang) (6.25%). The total cost of herbal medicine prescriptions increased every year, and it was highest for Xiangshapingwei-san (Hyangsapyeongwi-san) (19.37%), followed by Banxiaxiexin-tang (Banhasasim-tang) (17.50%) and then Pingwei-san (Pyeongwi-san) (15.63%). Musculoskeletal and connective tissue diseases including low back pain and myalgia were the commonest comorbidities associated with FD. CONCLUSION: This is the first study to investigate the disease burden and actual prescription pattern of herbal medicine for FD using claim data. Future clinical research and related healthcare policies should be established based on our study.

Parkinson's Disease Subtyping Using Clinical Features and Biomarkers: Literature Review and Preliminary Study of Subtype Clustering.

The second most common progressive neurodegenerative disorder, Parkinson's disease (PD), is characterized by a broad spectrum of symptoms that are associated with its progression. Several studies have attempted to classify PD according to its clinical manifestations and establish objective biomarkers for early diagnosis and for predicting the prognosis of the disease. Recent comprehensive research on the classification of PD using clinical phenotypes has included factors such as dominance, severity, and prognosis of motor and non-motor symptoms and biomarkers. Additionally, neuroimaging studies have attempted to reveal the pathological substrate for motor symptoms. Genetic and transcriptomic studies have contributed to our understanding of the underlying molecular pathogenic mechanisms and provided a basis for classifying PD. Moreover, an understanding of the heterogeneity of clinical manifestations in PD is required for a personalized medicine approach. Herein, we discuss the possible subtypes of PD based on clinical features, neuroimaging, and biomarkers for developing personalized medicine for PD. In addition, we conduct a preliminary clustering using gait features for subtyping PD. We believe that subtyping may facilitate the development of therapeutic strategies for PD.

Relationship between the frequency of nursing activities and adverse outcomes in patients with acute coronary syndrome: A retrospective cohort study.

The aim of this retrospective cohort study was to identify the relationship between the frequency of nursing activities during the first hospitalization and adverse outcomes in patients with acute coronary syndrome by using electronic health records. Patients diagnosed with acute coronary syndrome from April 2010 to April 2015 were examined for eligibility based on 36 months of major adverse cardiac events as the main outcome. Among the 652 patients who were enrolled, 66 patients experienced major adverse cardiac events. The average frequency of nursing activities was 1098.7 (±2703.8), and four variables (length of hospital stay, albumin level, hemoglobin level, and frequency of nursing activities) were significantly associated with 36 months of major adverse cardiac events. After adjusting for these variables, the frequency of nursing activities was found to be the only significant factor associated with the incidence of 36 months of major adverse cardiac events. This finding suggests that patients with acute coronary syndrome who require more frequent nursing activities during the first hospitalization could be vulnerable to adverse outcomes and should be closely monitored.

Impact of nucleos(t)ide analog treatment on the development of malignancy in patients with chronic hepatitis B.

We evaluated whether nucleos(t)ide analog (NA) influences the risk of non-hepatocellular carcinoma (non-HCC) malignancies in patients with chronic hepatitis B (CHB). A total of 9867 patients with CHB were followed up for ≥12 months for the occurrence of any type of malignancy between 1998 and 2013. Patients who received NA for ≥180 days were defined as the NA group. Propensity score matching produced the control (n = 2220) and NA groups (n = 2220) after adjustment for age, sex, and the presence of diabetes mellitus and liver cirrhosis. The National Health Insurance Service sample cohort dataset was used for external validation. Regarding non-HCC malignancies, only old age was an independent risk factor (>50 years; hazard ratio 3.17, 95% confidence interval 1.71-5.88, P < .001) in multivariate analysis. With regard to specific cancers such as thyroid, breast, lung, stomach, colorectal, pancreatobiliary, and hematologic malignancy, there was no difference of the incidence of each malignancy between the NA and control groups in both the hospital-based and external validation cohorts. NA treatment neither raises nor lowers the incidence of non-HCC malignancies in patients with CHB. Patients >50 years old are encouraged to undergo surveillance for malignancies similar to the general population.

Provider risk factors for medication administration error alerts: analyses of a large-scale closed-loop medication administration system using RFID and barcode.

PURPOSE: To determine the risk factors and rate of medication administration error (MAE) alerts by analyzing large-scale medication administration data and related error logs automatically recorded in a closed-loop medication administration system using radio-frequency identification and barcodes. METHODS: The subject hospital adopted a closed-loop medication administration system. All medication administrations in the general wards were automatically recorded in real-time using radio-frequency identification, barcodes, and hand-held point-of-care devices. MAE alert logs recorded during a full 1 year of 2012. We evaluated risk factors for MAE alerts including administration time, order type, medication route, the number of medication doses administered, and factors associated with nurse practices by logistic regression analysis. RESULTS: A total of 2 874 539 medication dose records from 30 232 patients (882.6 patient-years) were included in 2012. We identified 35 082 MAE alerts (1.22% of total medication doses). The MAE alerts were significantly related to administration at non-standard time [odds ratio (OR) 1.559, 95% confidence interval (CI) 1.515-1.604], emergency order (OR 1.527, 95%CI 1.464-1.594), and the number of medication doses administered (OR 0.993, 95%CI 0.992-0.993). Medication route, nurse's employment duration, and working schedule were also significantly related. CONCLUSION: The MAE alert rate was 1.22% over the 1-year observation period in the hospital examined in this study. The MAE alerts were significantly related to administration time, order type, medication route, the number of medication doses administered, nurse's employment duration, and working schedule. The real-time closed-loop medication administration system contributed to improving patient safety by preventing potential MAEs. Copyright © 2016 John Wiley & Sons, Ltd.

New Alert Override Codes for the Drug Utilization Review System Derived from Outpatient Prescription Data from a Tertiary Teaching Hospital in Korea.

OBJECTIVES: This paper proposes new alert override reason codes that are improvements on existing Drug Utilization Review (DUR) codes based on an analysis of DUR alert override cases in a tertiary medical institution. METHODS: Data were obtained from a tertiary teaching hospital covering the period from April 1, 2012 to January 15, 2013. We analyzed cases in which doctors had used the 11 overlapping prescription codes provided by the Health Insurance Review and Assessment Service (HIRA) or had provided free-text reasons. RESULTS: We identified 27,955 alert override cases. Among these, 7,772 (27.8%) utilized the HIRA codes, and 20,183 (72.2%) utilized free-text reasons. According to the free-text content analysis, 8,646 cases (42.8%) could be classified using the 11 HIRA codes, and 11,537 (57.2%) could not. In the unclassifiable cases, we identified the need for codes for "prescription relating to operation" and "emergency situations." Two overlapping prescription codes required removal because they were not used. Codes A, C, F, H, I, and J (for drug non-administration cases) explained surrounding situations in too much detail, making differentiation between them difficult. These 6 codes were merged into code J4: "patient was not taking/will not take the medications involved in the DDI." Of the 11 HIRA codes, 6 were merged into a single code, 2 were removed, and 2 were added, yielding 6 alert override codes. We could codify 23,550 (84.2%) alert override cases using these codes. CONCLUSIONS: These new codes will facilitate the use of the drug-drug interactions alert override in the current DUR system. For further study, an appropriate evaluation should be conducted with prescribing clinicians.

Conversion and Data Quality Assessment of Electronic Health Record Data at a Korean Tertiary Teaching Hospital to a Common Data Model for Distributed Network Research.

OBJECTIVES: A distributed research network (DRN) has the advantages of improved statistical power, and it can reveal more significant relationships by increasing sample size. However, differences in data structure constitute a major barrier to integrating data among DRN partners. We describe our experience converting Electronic Health Records (EHR) to the Observational Health Data Sciences and Informatics (OHDSI) Common Data Model (CDM). METHODS: We transformed the EHR of a hospital into Observational Medical Outcomes Partnership (OMOP) CDM ver. 4.0 used in OHDSI. All EHR codes were mapped and converted into the standard vocabulary of the CDM. All data required by the CDM were extracted, transformed, and loaded (ETL) into the CDM structure. To validate and improve the quality of the transformed dataset, the open-source data characterization program ACHILLES was run on the converted data. RESULTS: Patient, drug, condition, procedure, and visit data from 2.07 million patients who visited the subject hospital from July 1994 to November 2014 were transformed into the CDM. The transformed dataset was named the AUSOM. ACHILLES revealed 36 errors and 13 warnings in the AUSOM. We reviewed and corrected 28 errors. The summarized results of the AUSOM processed with ACHILLES are available at http://ami.ajou.ac.kr:8080/. CONCLUSIONS: We successfully converted our EHRs to a CDM and were able to participate as a data partner in an international DRN. Converting local records in this manner will provide various opportunities for researchers and data holders.

A normalization method for combination of laboratory test results from different electronic healthcare databases in a distributed research network.

PURPOSE: Distributed research networks (DRNs) afford statistical power by integrating observational data from multiple partners for retrospective studies. However, laboratory test results across care sites are derived using different assays from varying patient populations, making it difficult to simply combine data for analysis. Additionally, existing normalization methods are not suitable for retrospective studies. We normalized laboratory results from different data sources by adjusting for heterogeneous clinico-epidemiologic characteristics of the data and called this the subgroup-adjusted normalization (SAN) method. METHODS: Subgroup-adjusted normalization renders the means and standard deviations of distributions identical under population structure-adjusted conditions. To evaluate its performance, we compared SAN with existing methods for simulated and real datasets consisting of blood urea nitrogen, serum creatinine, hematocrit, hemoglobin, serum potassium, and total bilirubin. Various clinico-epidemiologic characteristics can be applied together in SAN. For simplicity of comparison, age and gender were used to adjust population heterogeneity in this study. RESULTS: In simulations, SAN had the lowest standardized difference in means (SDM) and Kolmogorov-Smirnov values for all tests (p < 0.05). In a real dataset, SAN had the lowest SDM and Kolmogorov-Smirnov values for blood urea nitrogen, hematocrit, hemoglobin, and serum potassium, and the lowest SDM for serum creatinine (p < 0.05). CONCLUSION: Subgroup-adjusted normalization performed better than normalization using other methods. The SAN method is applicable in a DRN environment and should facilitate analysis of data integrated across DRN partners for retrospective observational studies.

Differences of Reasons for Alert Overrides on Contraindicated Co-prescriptions by Admitting Department.

OBJECTIVES: To reveal differences in drug-drug interaction (DDI) alerts and the reasons for alert overrides between admitting departments. METHODS: A retrospective observational study was performed using longitudinal Electronic Health Record (EHR) data and information from an alert and logging system. Adult patients hospitalized in the emergency department (ED) and general ward (GW) during a 46-month period were included. For qualitative analyses, we manually reviewed all reasons for alert overrides, which were recorded as free text in the EHRs. RESULTS: Among 14,780,519 prescriptions, 51,864 had alerts for DDIs (0.35%; 1.32% in the ED and 0.23% in the GW). The alert override rate was higher in the ED (94.0%) than in the GW (57.0%) (p < 0.001). In an analysis of the study population, including ED and GW patients, 'clinically irrelevant alert' (52.0%) was the most common reason for override, followed by 'benefit assessed to be greater than the risk' (31.1%) and 'others' (17.3%). The frequency of alert overrides was highest for anti-inflammatory and anti-rheumatic drugs (89%). In a sub-analysis of the population, 'clinically irrelevant alert' was the most common reason for alert overrides in the ED (69.3%), and 'benefit assessed to be greater than the risk' was the most common reason in the GW (61.4%). CONCLUSIONS: We confirmed that the DDI alerts and the reasons for alert overrides differed by admitting department. Different strategies may be efficient for each admitting department.

Differences among admitting departments in alerts and alert overrides for drug-drug interaction.

OBJECTIVE: To determine differences in the incidence and risk factors of alerts for drug-drug interaction (DDI) and the rate of alert overrides by an admitting department. METHODS: A retrospective cohort study was performed using electronic health records of a Korean tertiary teaching hospital including all hospitalized adult patients for 18 months. The main outcome measures included incidence rates of alerts for DDI and their override, hazard ratios (HRs) for DDI alerts, and odds ratios (ORs) for alert overrides by admitting department (emergency department [ED], general ward [GW], and intensive care unit [ICU]) after adjusting for other known risk factors. RESULTS: Among 102 379 incident admissions, 6060 had alerts for DDI (5.4/person-year). After adjusting for covariates, patients admitted to the ED (HR, 4.02; confidence interval [CI], 3.69-4.38) or ICU (HR, 1.62; CI, 1.29-2.04) showed higher risks for DDI compared with those admitted to the GW. The alert-override rate was significantly higher in the ED (OR 1.68) than in the GW; however, there was no significant difference between GW and ICU. The prevalence of DDI alerts and their override rate were also demonstrated. DISCUSSION: The incidence of DDI and the alert-override rate differed by admitting department. The ED and ICU were associated with higher risks for alerts on DDI than did the GW after adjusting for other known risk factors. CONCLUSIONS: Admitting department was an independent risk factor for alerts and alert overrides. Strategies to reduce alerts and alert overrides should consider the admitting department.

Secondary erythromelalgia - a case report -.

Erythromelalgia is a rare neurovascular pain syndrome characterized by a triad of redness, increased temperature, and burning pain primarily in the extremities. Erythromelalgia can present as a primary or secondary form, and secondary erythromelalgia associated with a myeloproliferative disease such as essential thrombocythemia often responds dramatically to aspirin therapy, as in the present case. Herein, we describe a typical case of a 48-year-old woman with secondary erythromelalgia linked to essential thrombocythemia in the unilateral hand. As this case demonstrates, detecting and visualizing the hyperthermal area through infrared thermography of an erythromelalgic patient can assist in diagnosing the patient, assessing the therapeutic results, and understanding the disease course of erythromelalgia.

Video-assisted thoracoscopic surgery for correction of adolescent idiopatic scoliosis: comparison of 4.5 mm versus 5.5 mm rod constructs.

PURPOSE: The purpose of this study is to report the comparative results of thoracoscopic correction achieved via cantilever technique using a 4.5 mm thin rod and the poly-axial reduction screw technique using a 5.5 mm thick rod in Lenke type 1 adolescent idiopathic scoliosis (AIS). MATERIALS AND METHODS: Radiographic data, Scoliosis Research Society (SRS) patient-based outcome questionnaires, and operative records were reviewed for forty-nine patients undergoing surgical treatment of scoliosis. The study group was divided into a 4.5 mm thin rod group (n = 24) and a 5.5 mm thick rod group (n = 25). The radiographic parameters that were analyzed included coronal curve correction, the most caudal instrumented vertebra tilt angle correction, coronal balance, and thoracic kyphosis. RESULTS: The major curve was corrected from 49.8 degrees and 47.2 degrees pre-operatively to 24.5 degrees and 18.8 degrees at the final follow-up for the thin and thick rod groups, respectively (50.8% vs. 60.2% correction). There were no significant differences between the two groups in terms of kyphosis, coronal balance, or tilt angle at the time of the final follow-up. The mean number of levels fused was 6.2 in the thin rod group, compared with 5.9 levels in the thick rod group. There were no major intraoperative complications in either group. CONCLUSION: Significant correction loss was observed in the thin rod system at the final follow-up though both groups had comparable correction immediately post-operative. Therefore, the thick rod with poly axial screw system helps to maintain post-operative correction.

The effect of transdermal scopolamine plus intravenous dexamethasone for the prevention of postoperative nausea and vomiting in patients with epidural PCA after major orthopedic surgery.

BACKGROUND: Postoperative nausea and vomiting (PONV) is common complication of Patient-Controlled Analgesia (PCA) after surgery. The authors sought to determine whether a transdermal scopolamine (TDS) patch in combination with IV dexamethasone is more effective than IV dexamethasone alone or IV dexamethasone plus IV ramosetron for reducing PONV in patients receiving epidural PCA after major orthopedic surgery. METHODS: 120 patients that received epidural PCA with hydromorphone and ropivacaine after major orthopedic surgery under spinal anesthesia were allocated to 3 groups: Group D (n = 40) received IV dexamethasone 8 mg, Group DR (n = 40) received IV dexamethasone 8 mg plus IV ramosetron 0.3 mg, Group DS (n = 40) received IV dexamethasone 8 mg plus a TDS patch (Group DS, n = 40). Nausea and vomiting incidences, VAS for nausea, the use of additional antiemetics, and adverse effects (a dry mouth, blurred vision, drowsiness) during the first 24 hours postoperatively were subjected to analysis. RESULTS: The DS Group had a significantly higher rate of complete remission of PONV than the D and DR groups (82.5% vs 47.5%, and 50.0%, respectively), and had lower rates of nausea (17.5% vs 55.0%, and 50.0%), and vomiting (10.0% vs 50.0%, and 25.0%), and required less antiemetics (5.0% vs 35.0%, 22.5%) than group D and Group DR during the first 24 hours after surgery. Furthermore, no inter-group differences were observed with respect to adverse effects in the three groups. CONCLUSIONS: The prophylactic use of a TDS patch plus dexamethasone was found to be a more effective means of preventing PONV in patients that received epidural PCA after major orthopedic surgery than dexamethasone alone or dexamethasone plus ramosetron without adversely affecting side effects.

The incidence of new vertebral compression fractures in women after kyphoplasty and factors involved.

PURPOSE: To identify the incidence of new vertebral compression fractures in women after kyphoplasty and to analyze influential factors in these patients. MATERIALS AND METHODS: One hundred and eleven consecutive female patients with osteoporotic vertebral compression fractures (VCFs) underwent kyphoplasty at 137 levels. These patients were followed for 15.2 months postoperatively. For the survey of new vertebral compression fractures, medical records and x-rays were reviewed, and telephone interviews were conducted with all patients. RESULTS: During that time 20 (18%) patients developed new VCFs. The rate of occurrence of new VCFs in one year was 15.5% using a Kaplan-Meier curve. Body mass index (BMI), symptom duration and kyphoplasty level were the statistically significant factors between the patient groups both with and without new VCFs after kyphoplasty. In the comparison between the adjacent and remote new VCF groups, the adjacent new VCF group showed a larger amount of polymethyl methacrylate (PMMA) use during kyphoplasty (p<0.05). Before kyphoplasty, 9.9% of the patients had been prescribed medication for osteoporosis, and 93.7% of the patients started or continued medication after kyphoplasty. The development of new VCFs was affected by the number of vertebrae involved in the kyphoplasty. However, the lower incidence rate (15.5%) of new compression fractures might be due to a greater percentage (93.7% in our study) of patients taking anti-osteoporotic medication before and/or after kyphoplasty. CONCLUSION: When kyphoplasty is planned for the management of patients with osteoporotic VCFs, the application of a small amount of PMMA can be considered in order to lower the risk of new fractures in adjacent vertebrae. The postoperative use of anti- osteoporotic medication is recommended for the prevention of new VCFs.

Anti-angiogenic activity of the methanol extract and its fractions of Ulmus davidiana var. japonica.

This study aimed to elucidate anti-angiogenic activity of Ulmus davidiana var. japonica that has been widely used in folk medicine. The methanol extract (UDE) of Ulmus davidiana var. japonica concentration-dependently displayed a strong inhibition in the chick chorioallantoic membrane (CAM) angiogenesis. The n-butanol fraction of UDE and subsequent 30% MeOH subfraction were identified to be most responsible for the anti-angiogenic activity.