Vitamin B6 intake and incidence of diabetic retinopathy in Japanese patients with type 2 diabetes: analysis of data from the Japan Diabetes Complications Study (JDCS).

PURPOSE: Although vitamin B6 has been suspected to prevent the progression of diabetic retinopathy, evidence of this in patients with type 2 diabetes based on longitudinal studies is sparse. This study investigated the relationship between vitamin B6 intake and the incidence of diabetic retinopathy in Japanese patients with type 2 diabetes. METHODS: The study was part of an examination of a nationwide cohort of patients with type 2 diabetes aged 40-70 years with HbA1c ≥ 48 mmol/mol. After excluding nonresponders to a dietary survey using the Food Frequency Questionnaire based on food groups, 978 patients were analyzed. Primary outcome was the 8-year risk of a diabetic retinopathy event, and Cox regression analyses estimated hazard ratios (HRs) for retinopathy according to vitamin B6 intake adjusted for age, gender, body mass index, HbA1c, smoking, energy intake, and other confounders. RESULTS: Mean vitamin B6 intake in quartiles ranged from 1.1 to 1.6 mg/day, and half of the participants had vitamin B6 intake below the recommended daily dietary allowance according to dietary reference intakes in Japanese adults (men 1.4 mg/day; women 1.2 mg/day). After adjusting for confounders, HRs for diabetic retinopathy in the 2nd, 3rd, and 4th quartile groups of vitamin B6 intake compared with the 1st quartile group were 1.17 (95% confidence interval 0.81-1.69, p = 0.403), 0.88 (0.58-1.34, p = 0.550), and 0.50 (0.30-0.85, p = 0.010), respectively. CONCLUSIONS: Findings suggested that high vitamin B6 intake was associated with a lower incidence of diabetic retinopathy in Japanese with type 2 diabetes.

A Pragmatic Method to Integrate Data from Pre-existing Cohort Studies using the Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model: Practical use of REDCap2SDTM.

BACKGROUND: In recent years, many researchers have focused on legacy data utilization, such as pooled analyses that collect and re-analyze data from multiple studies. However, the methodology for the integration of pre-existing databases whose data were collected for different purposes has not been established. Previously, we developed a tool to efficiently generate Study Data Tabulation Model (SDTM) data from hypothetical clinical trial data using the Clinical Data Interchange Standards Consortium (CDISC) SDTM. OBJECTIVE: To design a practical model for integrating pre-existing databases using the CDISC SDTM. METHODS: Data integration was performed in three phases: i) confirmation of the variables, ii) SDTM mapping, and iii) generation of the SDTM data. In phase 1, the definitions of the variables in detail were confirmed, and the datasets were converted to vertical datasets. In phase 2, the items derived from the SDTM format were set as mapping items. Three types of metadata (domain name, variable name, and test code), based on the CDISC SDTM, were embedded in the REDCap field annotation. In phase 3, the data dictionary, including the SDTM metadata, were output in the Operational Data Model (ODM) format. Finally, the mapped SDTM were generated using REDCap2SDTM v2. RESULTS: SDTM data were generated as a comma-separated values file for each of the seven domains defined in the metadata. Twenty-two items were commonly mapped to three databases. Because the SDTM data were set in each database correctly, we were able to integrate three independently pre-existing databases into one database in the CDISC SDTM format. CONCLUSIONS: Our project suggests that the CDISC SDTM is useful for integrating multiple pre-existing databases.

A Pragmatic Method to Integrate Data From Preexisting Cohort Studies Using the Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model: Case Study.

Background: In recent years, many researchers have focused on the use of legacy data, such as pooled analyses that collect and reanalyze data from multiple studies. However, the methodology for the integration of preexisting databases whose data were collected for different purposes has not been established. Previously, we developed a tool to efficiently generate Study Data Tabulation Model (SDTM) data from hypothetical clinical trial data using the Clinical Data Interchange Standards Consortium (CDISC) SDTM. Objective: This study aimed to design a practical model for integrating preexisting databases using the CDISC SDTM. Methods: Data integration was performed in three phases: (1) the confirmation of the variables, (2) SDTM mapping, and (3) the generation of the SDTM data. In phase 1, the definitions of the variables in detail were confirmed, and the data sets were converted to a vertical structure. In phase 2, the items derived from the SDTM format were set as mapping items. Three types of metadata (domain name, variable name, and test code), based on the CDISC SDTM, were embedded in the Research Electronic Data Capture (REDCap) field annotation. In phase 3, the data dictionary, including the SDTM metadata, was outputted in the Operational Data Model (ODM) format. Finally, the mapped SDTM data were generated using REDCap2SDTM version 2. Results: SDTM data were generated as a comma-separated values file for each of the 7 domains defined in the metadata. A total of 17 items were commonly mapped to 3 databases. Because the SDTM data were set in each database correctly, we were able to integrate 3 independently preexisting databases into 1 database in the CDISC SDTM format. Conclusions: Our project suggests that the CDISC SDTM is useful for integrating multiple preexisting databases.

Efficacy of Integrated Online Mindfulness and Self-compassion Training for Adults With Atopic Dermatitis: A Randomized Clinical Trial.

Importance: Quality of life (QOL) of patients with atopic dermatitis (AD) is reported to be the lowest among skin diseases. To our knowledge, mindfulness and self-compassion training has not been evaluated for adults with AD. Objective: To evaluate the efficacy of mindfulness and self-compassion training in improving the QOL for adults with AD. Design, Setting, and Participants: This randomized clinical trial conducted from March 2019 through October 2022 included adults with AD whose Dermatology Life Quality Index (DLQI) score, a skin disease-specific QOL measure, was greater than 6 (corresponding to moderate or greater impairment). Participants were recruited from multiple outpatient institutes in Japan and through the study's social media outlets and website. Interventions: Participants were randomized 1:1 to receive eight 90-minute weekly group sessions of online mindfulness and self-compassion training or to a waiting list. Both groups were allowed to receive any dermatologic treatment except dupilumab. Main Outcomes and Measures: The primary outcome was the change in the DLQI score from baseline to week 13. Secondary outcomes included eczema severity, itch- and scratching-related visual analog scales, self-compassion and all of its subscales, mindfulness, psychological symptoms, and participants' adherence to dermatologist-advised treatments. Results: The study randomized 107 adults to the intervention group (n = 56) or the waiting list (n = 51). The overall participant mean (SD) age was 36.3 (10.5) years, 85 (79.4%) were women, and the mean (SD) AD duration was 26.6 (11.7) years. Among participants from the intervention group, 55 (98.2%) attended 6 or more of the 8 sessions, and 105 of all participants (98.1%) completed the assessment at 13 weeks. The intervention group demonstrated greater improvement in the DLQI score at 13 weeks (between-group difference estimate, -6.34; 95% CI, -8.27 to -4.41; P < .001). The standardized effect size (Cohen d) at 13 weeks was -1.06 (95% CI, -1.39 to -0.74). All secondary outcomes showed greater improvements in the intervention group than in the waiting list group. Conclusions and Relevance: In this randomized clinical trial of adults with AD, integrated online mindfulness and self-compassion training in addition to usual care resulted in greater improvement in skin disease-specific QOL and other patient-reported outcomes, including eczema severity. These findings suggest that mindfulness and self-compassion training is an effective treatment option for adults with AD. Trial Registration: https://umin.ac.jp/ctr Identifier: UMIN000036277.

Survey of Glasgow Coma Scale and PaO2/FIO2 ratio assessment methods for the Sequential Organ Failure Assessment score in Japanese intensive care units.

Aim: Accurately calculating the Sequential Organ Failure Assessment (SOFA) score is essential for medical resource allocation and decision-making. This study surveyed Japanese intensive care units regarding their assessment of the Glasgow Coma Scale (GCS) and PaO2/FIO2 ratio, components of the SOFA score. Methods: A cross-sectional, web-based survey was conducted among healthcare workers. The survey consisted of questions about the intensive care units where they work and questions for respondents. It was distributed to healthcare workers by e-mail through the Japanese Society of Intensive Care Medicine mailing list and social networking service. Results: Among 414 responses, we obtained 211 valid responses and 175 survey results from unique intensive care units. When assessing GCS in patients under the influence of sedatives, 45.1% (95% confidence interval, 37.6-52.8) of intensive care units assessed GCS assuming that the sedatives had no influence. For the PaO2/FIO2 ratio in the SOFA score, calculation based on the Japanese Intensive Care Patient Database definition document and mechanical ventilator settings were the most common methods in patients with oxygen masks and on extracorporeal membrane oxygenation, respectively. Approximately 60% of respondents indicated that it was difficult to assess GCS assuming that sedatives had no influence. Conclusion: In patients under the influence of sedatives, approximately half of the intensive care units assessed assumed GCS. There was variation in the methods used to assess the PaO2/FIO2 ratio. Standardized assessment methods for GCS and the PaO2/FIO2 ratio are needed to obtain valid SOFA score.

Sodium Intake and Incidence of Diabetes Complications in Elderly Patients with Type 2 Diabetes-Analysis of Data from the Japanese Elderly Diabetes Intervention Study (J-EDIT).

This study investigates the associations between sodium intake and diabetes complications in a nationwide cohort of elderly Japanese patients with type 2 diabetes aged 65-85. Data from 912 individuals regarding their dietary intake at baseline is analyzed and assessed by the Food Frequency Questionnaire based on food groups. Primary outcomes are times to diabetic retinopathy, overt nephropathy, cardiovascular disease (CVD), and all-cause mortality during six years. We find that mean sodium intake in quartiles ranges from 2.5 g to 5.9 g/day. After adjustment for confounders, no significant associations are observed between sodium intake quartiles and incidence of diabetes complications and mortality, except for a significant trend for an increased risk of diabetic retinopathy (p = 0.039). Among patients whose vegetable intake was less than the average of 268.7 g, hazard ratios (HRs) for diabetic retinopathy in patients in the second, third, and fourth quartiles of sodium intake compared with the first quartile were 0.87 (95% CI, 0.31-2.41), 2.61 (1.00-6.83), and 3.70 (1.37-10.02), respectively. Findings indicate that high sodium intake under conditions of low vegetable intake is associated with an elevated incidence of diabetic retinopathy in elderly patients with type 2 diabetes.

Developing a health economic model for Asians with type 2 diabetes based on the Japan Diabetes Complications Study and the Japanese Elderly Diabetes Intervention Trial.

INTRODUCTION: Cost-effectiveness analyses are becoming increasingly important in Japan following the introduction of a health technology assessment scheme. The study objective was to develop an economic model to evaluate the cost-effectiveness of two interventions for type 2 diabetes in a Japanese population. RESEARCH DESIGN AND METHODS: The Japan Diabetes Complications Study/Japanese Elderly Diabetes Intervention Trial risk engine (JJRE) Cost-Effectiveness Model (JJCEM) was developed, incorporating validated risk equations in Japanese patients with type 2 diabetes from the JJRE. Weibull regression models were developed for progression of the model outcomes, and a targeted literature review was performed to inform default values for utilities and costs. To illustrate outcomes, two simulated analyses were performed in younger (aged 40 years) and older (aged 80 years) Japanese populations, comparing a hypothetical treatment with placebo. RESULTS: The model considers a population based on user-defined values for 11 baseline characteristic parameters and simulates rates of diabetic complications over a defined time horizon. Costs, quality-adjusted life years, and an incremental cost-effectiveness ratio are estimated. The model provides disaggregated results for two competing interventions, allowing visualization of the key drivers of cost and utility. A scatterplot of simulations and cost-effectiveness acceptability curve are generated for each analysis. CONCLUSIONS: This is the first cost-effectiveness model for East Asian patients with type 2 diabetes, developed using Japan-specific risk equations. This population constitutes the largest share of the global population with diabetes, making this model highly relevant. The model can be used to evaluate the cost-effectiveness of anti-diabetic interventions in patients with type 2 diabetes in Japan and other East Asian populations.

Secular Trends in Dietary Intake over a 20-Year Period in People with Type 2 Diabetes in Japan: A Comparative Study of Two Nationwide Registries; Japan Diabetes Complications Study (JDCS) and Japan Diabetes Clinical Data Management Study (JDDM).

BACKGROUND: In order to provide effective dietary guidance, it is necessary to consider dietary intake, which can change over time. This study analyzed changes in the diet of Japanese patients with type 2 diabetes over a 20-year period. METHODS: We compared the results of two dietary surveys that used the food frequency questionnaire format. The first was conducted in 1996 by the Japan Diabetes Complications Study (JDCS) (n = 1509; males 53.3%), and the second in 2014-2018 by the Japan Diabetes Clinical Data Management Study (JDDM) (n = 1145; males 65.6%). Both are nationwide representative registries of outpatients with type 2 diabetes in Japan. RESULTS: Over a 20-year period, both men and women with type 2 diabetes had a significant increase in body mass index (BMI). Nonetheless, there was only a small change in energy intake. Conversely, there was a significant increase in fat intake and thus in the fat-to-energy ratio. With regard to food groups, there was a significant increase in meat intake and a decrease in the intake of fish, soybeans/soy products, vegetables, and fruits, with a particularly significant decrease in vegetables. CONCLUSIONS: Even in Japan, an industrialized country with a stable socioeconomic environment, there were many significant changes in the dietary intake of patients with type 2 diabetes over the 20-year period.

Association between Low Protein Intake and Mortality in Patients with Type 2 Diabetes.

The aim of this study was to investigate the association between protein intake and mortality risk in patients with type 2 diabetes. We analyzed a pooled data of 2494 diabetic patients from two prospective longitudinal studies. Nutritional intake was assessed using a Food Frequency Questionnaire at baseline. Protein intake per body weight (kg) per day was categorized into quartile groups. Adjusted hazard ratios (HRs) and 95% confidence interval (CI) were calculated using Cox regression analysis. During the six-year follow-up, there were 152 incidents of all-cause mortality. The HR for mortality in the lowest quartile of protein intake per body weight compared with the highest quartile was 2.26 (95% CI: 1.34-3.82, p = 0.002) after adjustment for covariates. Subgroup analyses revealed significant associations between low protein intake and mortality in patients aged over 75 years or under 65 years. After further adjustment of the total energy intake, a significant association between protein intake and mortality remained in patients aged ≥ 75 years, whereas the association was attenuated in those aged < 65 years. Our results suggest that adequate protein intake is necessary in older diabetic patients over 75 years, whereas with diabetes, whereas whole optimal total energy intake is required in younger patients with type 2 diabetes.

Differential diagnosis of benign or malignant intraductal papillary mucinous neoplasm of the pancreas by multidetector row helical computed tomography: evaluation of predictive factors by logistic regression analysis.

OBJECTIVE: The purpose of this study is to evaluate predictive factors for discriminating benign from malignant intraductal mucin-producing neoplasm (IPMN) of the pancreas on multidetector row computed tomography (MDCT). MATERIALS AND METHODS: Fifty-three patients with IPMN underwent MDCT, and the imaging and pathological findings were evaluated. In patients with branch duct-type tumors, sex and age of the patient, location, shape, size and multiplicity of the cystic lesion, presence of mural nodule, and maximum diameter of main pancreatic duct (MPD) dilatation were evaluated by logistic regression analysis. RESULTS: Tumors were classified as main duct-type (n = 7) and branch duct-type (n = 46). Among main duct-type tumors, all 7 lesions were diagnosed as malignant. Among 46 lesions of branch-type IPMN, 8 lesions were malignant, and 38 lesions were benign. On adjusted logistic regression analysis, combination factor of main duct dilatation and mural nodule or large cystic size had statistical significance for the risk of malignancy in branch duct-type IPMN. CONCLUSIONS: Main duct-type IPMN is highly suggestive for malignancy. Combination factors of main ductal dilation and mural nodule, and main ductal dilation, and large cystic tumor size are thought to be predictive factors for malignant branch-type IPMN.