Aims/Introduction: To investigate the national trend in the prescription of first‐line non‐insulin antidiabetic agents and total medical costs (TMCs) after prescribing the drug in Japanese patients with type 2 diabetes.Materials and Methods: Using the National Database of Health Insurance Claims and Specific Health Check‐ups of Japan covering almost the entire Japanese population, we calculated the proportion of each antidiabetic drug from 2014 to 2017, and determined the factors associated with drug selection. The TMCs in the first year after starting the drugs were calculated, and factors associated with the costs were also determined.Results: Among 1,136,723 new users of antidiabetic agents, dipeptidyl peptidase‐4 inhibitors were the most prescribed (65.1%), followed by biguanides (15.9%) and sodium–glucose cotransporter 2 inhibitors (7.6%). Sodium–glucose cotransporter 2 inhibitor and biguanide use increased during 2014–2017 (2.2%–11.4% and 13.7%–17.2%, respectively), whereas the others decreased. Biguanides were not prescribed at all in 38.2% of non‐Japan Diabetes Society‐certified facilities. The TMCs were the lowest among those who started with biguanides. Fiscal year, age, sex, facility, number of beds and comorbidities were associated with drug choice and TMCs. There were wide regional variations in the drug choice, but not in the TMCs.Conclusions: Unlike in the USA and Europe, dipeptidyl peptidase‐4 inhibitor is the most prescribed first‐line medication for type 2 diabetes patients in Japan, while there is a wide variation in the drug choice by facility‐type and prefecture.

The National Cholesterol Education Program Adult Treatment Panel guideline,^1-4 which was updated by 2013 American College of Cardiology/American Heart Association (ACC/AHA) guideline recently,⁵ has consistently recommended dietary modification as a key component of antihyperlipidemic therapy. Since 2001, these guidelines also have stated that statins are more effective than other pharmacotherapies.³ Statin use has grown rapidly in the United States over the past 25 years,^6,7 while caloric intake has increased overall in US adults from the 1970s through the 1990s⁸ reaching a plateau starting in the 1999-2000 period.⁹ The proportion of calories from fat ingested by US adults decreased from the 1970s to the 1990s,⁸ followed by a stable trend since the 1999-2000 period.⁹ To our knowledge, no studies have examined whether the temporal trend in food intake is related to statin use, although previous studies have investigated the cross-sectional and short-term relationship between statin use and food intake.^10-12 In this context, we examined whether the time trends of caloric and fat intake differed between statin users and nonusers.

Background: Little is known whether time trends of in‐hospital mortality and costs of care for acute myocardial infarction ( AMI ) differ by type of AMI ( ST ‐elevation myocardial infarction [ STEMI ] vs. non‐ ST ‐elevation [ NSTEMI ]) and by the intervention received (percutaneous coronary intervention [ PCI ], coronary artery bypass grafting [ CABG ], or no intervention) in the United States . Methods and Results: We conducted a serial cross‐sectional study of all hospitalizations for AMI aged 30 years or older using the Nationwide Inpatient Sample, 2001–2011 (1 456 154 discharges; a weighted estimate of 7 135 592 discharges). Hospitalizations were stratified by type of AMI and intervention, and the time trends of in‐hospital mortality and hospital costs were examined for each combination of the AMI type and intervention, after adjusting for both patient‐ and hospital‐level characteristics. Compared with 2001, adjusted in‐hospital mortality improved significantly for NSTEMI patients in 2011, regardless of the intervention received ( PCI odds ratio [ OR ] 0.68, 95% CI 0.56 to 0.83; CABG OR 0.57, 0.45 to 0.72; without intervention OR 0.61, 0.57 to 0.65). As for STEMI , a decline in adjusted in‐hospital mortality was significant for those who underwent PCI ( OR 0.83; 0.73 to 0.94); however, no significant improvement was observed for those who received CABG or without intervention. Hospital costs per hospitalization increased significantly for patients who underwent intervention, but not for those without intervention. Conclusions: In the United States , the decrease in in‐hospital mortality and the increase in costs differed by the AMI type and the intervention received. These non‐uniform trends may be informative for designing effective health policies to reduce the health and economic burdens of AMI .

There is a paucity of evidence supporting the effectiveness of diabetes self-management education (DSME) in improving mental health-related quality of life (HRQoL) for African American and Latinos. Also, among studies supporting the favorable effects of DSME on mental HRQoL, the direct effect of DSME that is independent of improved glycemic control has never been investigated. The objectives of this study were to investigate the effect of community-based DSME intervention targeting empowerment on mental HRQoL and to determine whether the effect is direct or mediated by glycemic control. We conducted secondary analyses of data from the Diabetes Self-Care Study, a randomized controlled trial of a community-based DSME intervention. Study participants (n = 516) were African Americans and Latinos 55 years or older with poorly controlled diabetes (HbA1c ≥ 8.0%) recruited from senior centers and churches in Los Angeles. The intervention group received six weekly small-group self-care sessions based on the empowerment model. The control group received six lectures on unrelated geriatrics topics. The primary outcome variable in this secondary analysis was the change in Mental Component Summary score (MCS-12) from the SF-12 Health Survey between baseline and six-month follow-up. We used the change in HbA1c during the study period as the main mediator of interest in our causal mediation analysis. Additionally, possible mediations via social support and perceived empowerment attributable to the program were examined. MCS-12 increased by 1.4 points on average in the intervention group and decreased by 0.2 points in the control group (difference-in-change: 1.6 points, 95% CI: 0.1 to 3.2). In the causal mediation analysis, the intervention had a direct effect on MCS-12 improvement (1.7 points, 95% CI: 0.2 to 3.2) with no indirect effects mediated via HbA1c change (−0.1 points, 95% CI: −0.4 to 0.1), social support (0.1 points), and perception of empowerment (0.1 points). This Diabetes Self-Care Study empowerment intervention had a modest positive impact on mental HRQoL not mediated by the improvement in glycemic control, as well as social support and perception of empowerment. This favorable effect on mental HRQoL may be a separate clinical advantage of this DSME intervention. ClinicalTrial.gov NCT00263835 .

Rapid detection, early resuscitation, and appropriate antibiotic use are crucial for sepsis care. Accurate identification of the site of infection may facilitate a timely provision of appropriate care. We aimed to investigate the relationship between misdiagnosis of the site of infection at initial examination and in-hospital mortality. This was a secondary-multicenter prospective cohort study involving 37 emergency departments. Consecutive adult patients with infection from December 2017 to February 2018 were included. Misdiagnosis of the site of infection was defined as a discrepancy between the suspected site of infection at initial examination and that at final diagnosis, including those infections remaining unidentified during hospital admission, whereas correct diagnosis was defined as site concordance. In-hospital mortality was compared between those misdiagnosed and those correctly diagnosed. Of 974 patients included in the analysis, 11.6% were misdiagnosed. Patients diagnosed with lung, intra-abdominal, urinary, soft tissue, and CNS infection at the initial examination, 4.2%, 3.8%, 13.6%, 10.9%, and 58.3% respectively, turned out to have an infection at a different site. In-hospital mortality occurred in 15%. In both generalized estimating equation (GEE) and propensity score-matched models, misdiagnosed patients exhibited higher mortality despite adjustment for patient background, site infection, and severity. The adjusted odds ratios (misdiagnosis vs. correct diagnosis) for in-hospital mortality were 2.66 (95% CI, 1.45–4.89) in the GEE model and 3.03 (95% CI, 1.24–7.38) in the propensity score-matched model. The difference in the absolute risk in the GEE model was 0.11 (0.04–0.18). Among patients with infection, misdiagnosed site of infection is associated with a > 10% increase in in-hospital mortality.

Background: Reducing medical errors and minimizing complications have become the focus of quality improvement in medicine. Failure-to-rescue (FTR) is defined as death after a surgical complication, which is an institution-level surgical safety and quality metric that is an important variable affecting mortality rates in hospitals. This study aims to examine whether complication and FTR are different across low- and high-mortality hospitals for trauma care. Methods: This was a retrospective cohort study performed at trauma care hospitals registered at Japan Trauma Data Bank (JTDB) from 2004 to 2017. Trauma patients aged ≥ 15 years with injury severity score (ISS) of ≥ 3 and those who survived for > 48 h after hospital admission were included. The hospitals in JTDB were categorized into three groups by standardized mortality rate. We compared trauma complications, FTR, and in-hospital mortality by a standardized mortality rate (divided by the institute-level quartile). Results: Among 184,214 patients that were enrolled, the rate of any complication was 12.7%. The overall mortality rate was 3.7%, and the mortality rate among trauma patients without complications was only 2.8% (non-precedented deaths). However, the mortality rate among trauma patients with any complications was 10.2% (FTR). Hospitals were categorized into high- (40 facilities with 44,773 patients), average- (72 facilities with 102,368 patients), and low- (39 facilities with 37,073 patients) mortality hospitals, using the hospital ranking of a standardized mortality rate. High-mortality hospitals showed lower ISS than low-mortality hospitals [10 (IQR, 9–18) vs. 11 (IQR, 9–20), P < 0.01]. Patients in high-mortality hospitals showed more complications (14.2% vs. 11.2%, P < 0.01), in-hospital mortality (5.1% vs. 2.5%, P < 0.01), FTR (13.6% vs. 7.4%, P < 0.01), and non-precedented deaths (3.6% vs. 1.9%, P < 0.01) than those in low-mortality hospitals. Conclusions: Unlike reports of elective surgery, complication rates and FTR are associated with in-hospital mortality rates at the center level in trauma care.