Understanding impacts of COVID-19 restrictions on glycemic control for patients with diabetes in Japan.

Objective: This study evaluated the changes in the status of glycemic control and lipid management in patients with diabetes under COVID-19 containment restrictions, in order to better understand the impacts of events causing lifestyle restrictions. Patient characteristics with worsened glycemic control were also assessed. Methods: We conducted a retrospective and observational cohort study using the electronic health records of 5,169 patients with diabetes seeking medical care in two healthcare centers. Laboratory test results including glycemic and lipid goal attainment rates were compared between pre-COVID-19 (January to December 2019) and the first wave of COVID-19 (February to June 2020). Multiple regression models were used to evaluate the association between glycated hemoglobin (HbA1c) at baseline and during the first wave with covariates such as concomitant medications and comorbidities. Results: The HbA1c goal achievement rate improved significantly from 39.0% to 43.1% (p < 0.0001) overall, and more patients reached their glycemic target during COVID-19 restrictions. No significant changes were observed in lipid control. An indexed change in HbA1c level showed that glycemic control improved in 2,230 patients and worsened in 1,619 patients. Administration of insulin, GLP-1, and sulfonylureas were each identified as factors correlated with elevated HbA1c, during the first wave of COVID-19. Conclusion: Although the glycemic control in patients with diabetes improved overall under COVID-19 restrictions, those on insulin, GLP-1, or sulfonylureas worsened. These findings suggest the need to better understand what drives differences in glycemic control to better support people with diabetes for future epidemiological outbreaks. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-023-01302-5.

Impact of physician-staffed ground emergency medical services-administered pre-hospital trauma care on in-hospital survival outcomes in Japan.

PURPOSE: In Japan, the vehicle used in pre-hospital trauma care systems with physician-staffed ground emergency medical services (GEMS) is referred to as a "doctor car". Doctor cars are highly mobile physician-staffed GEMS that can provide complex pre-hospital trauma management using various treatment strategies. The number of doctor car operations for patients with severe trauma has increased. Considering facility factors, the association between doctor cars and patient outcomes remains unclear. Therefore, this study aimed to examine the relationship between doctor cars for patients with severe trauma and survival outcomes in Japan. METHODS: A nationwide retrospective cohort study was conducted to compare the impact of the doctor car group with the non-physician-staffed GEMS group on in-hospital survival in adult patients with severe trauma. The data were analyzed using multivariable logistic regression models with generalized estimating equations. RESULTS: This study included 372,365 patients registered in the Japan Trauma Data Bank between April 2009 and March 2019. Of the 49,144 eligible patients, 2361 and 46,783 were classified into the doctor car and non-physician staffed GEMS groups, respectively. The adjusted odds ratio (OR) for survival was significantly higher in the doctor car group than in the non-physician staffed GEMS group (adjusted OR = 1.228 [95% confidence interval 1.065-1.415]). CONCLUSION: Using nationwide data, this novel study suggests that doctor cars improve the in-hospital survival rate of patients with severe trauma in Japan. Therefore, doctor cars could be an option for trauma strategies.

Evacuation at Home Delayed the First Medical Intervention in Minamisanriku Town after the 2011 Great East Japan Earthquake.

INTRODUCTION: In Japan, evacuation at home is expected to increase in the future as a post-disaster evacuation type due to the pandemic, aging, and diverse disabilities of the population. However, more disaster-related indirect deaths occurred in homes than in evacuation centers after the 2011 Great East Japan Earthquake (GEJE). The health risks faced by evacuees at home have not been adequately discussed. STUDY OBJECTIVE: This study aimed to clarify the gap in disaster health management for evacuees at home compared to the evacuees at the evacuation centers in Minamisanriku Town, which lost all health care facilities after the 2011 GEJE. METHODS: This was a retrospective cross-sectional and quasi-experimental study based on the anonymized disaster medical records (DMRs) of patients from March 11 through April 10, 2011, that compared the evacuation-at-home and evacuation-center groups focusing on the day of the first medical intervention after the onset. Multivariable Cox regression analysis and propensity score (PS)-matching analysis were performed to identify the risk factors and causal relationship between the evacuation type and the delay of medical intervention. RESULTS: Of the 2,838 eligible patients, 460 and 2,378 were in the evacuation-at-home and evacuation-center groups, respectively. In the month after the onset, the evacuation-at-home group had significantly lower rates of respiratory and mental health diseases than the evacuation-center group. However, the mean time to the first medical intervention was significantly delayed in the evacuation-at-home group (19.3 [SD = 6.1] days) compared to that in the evacuation-center group (14.1 [SD = 6.3] days); P <.001). In the multivariable Cox regression analysis, the hazard ratio (HR) of delayed medical intervention for evacuation-at-home was 2.31 with a 95% confident interval of 2.07-2.59. The PS-matching analysis of the adjusted 459 patients in each group confirmed that evacuation at home was significantly associated with delays in the first medical intervention (P <.001). CONCLUSION: This study suggested, for the first time, the causal relationship between evacuation at home and delay in the first medical intervention by PS-matching analysis. Although evacuation at home had several advantages in reducing the frequencies of some diseases, the delay in medical intervention could exacerbate the symptoms and be a cause of indirect death. As more evacuees are likely to remain in their homes in the future, this study recommends earlier surveillance and health care provision to the home evacuees.

Analysis of Disaster-Related Deaths in the Great East Japan Earthquake: A Retrospective Observational Study Using Data from Ishinomaki City, Miyagi, Japan.

Disaster-related deaths are of two types: direct and indirect. Preventable disaster-related deaths reported in the Great East Japan Earthquake (GEJE) included a large number of indirect deaths. This study aimed to investigate the data on disaster-related deaths in the GEJE in Ishinomaki City, Miyagi Prefecture, and to clarify the scope of disaster-related deaths to help future disaster preparedness. A retrospective observational study was conducted using public data on disaster-related deaths from March 2011 to January 2021, available at Ishinomaki City Hall. Descriptive and Cox regression analyses were conducted. The most common direct cause of disaster-related deaths was respiratory diseases, which were more common among those aged less than three months and over 60 years. Suicide was common among those aged under 60 years, and the proportion increased more than six months after the disaster. The risk of death was significantly higher among those who needed nursing care than among those independent in daily living. The results indicate that measures should be taken for the elderly and those who need care from an early phase after the disaster. The analysis of data on disaster-related deaths in other affected municipalities may provide further evidence to help reduce disaster-related deaths.

Factors influencing pharmacokinetics of warfarin in African-Americans: implications for pharmacogenetic dosing algorithms.

AIM: This study attempted to identify predictors of S-warfarin clearance (CL[S]) and to make a pharmacokinetic evaluation of genotype-based dosing algorithms in African-Americans. METHODS: Using plasma S-warfarin concentration (Cp[S]) at a steady state and eight SNPs previously shown to influence warfarin dose in African-Americans, CL(S) and its predictors were estimated by population pharmacokinetic analysis in 60 African-Americans. The time courses of Cp(S) following either the loading dose or maintenance dose were simulated using the population pharmacokinetic estimates. RESULTS: CYP2C9*8 and body surface area or body weight were predictors of CL(S) (-30 and -5% per -0.1 m(2)/-10 kg reduction in CL[S], respectively) in African-Americans. Simulations of Cp(S) showed that Cp(S) at steady state was 1.4-times higher in patients with CYP2C9*8 than in those with CYP2C9*1/*1, irrespective of the algorithm for loading dose or maintenance dose. CONCLUSION: African-Americans possess independent predictors of CL(S), possibly leading to a prediction error of any dosing algorithm that excludes African-specific variant(s). Original submitted 3 September 2014; Revision submitted 3 November 2014.