Characteristics of patients hospitalised in an emergency department observation unit in Japan

In Japan, transporting elderly patients to emergency departments has recently posed serious problems, including a longer average time from patients’ initial emergency calls to their arrival at hospitals. To manage emergency departments more efficiently, many hospitals in the United States and some other developed countries, including Japan, introduced emergency department observation units (EDOU). However, because the usefulness of EDOUs in managing elderly patients remains uncertain, we analysed data of patients admitted to a Japanese university hospital’s EDOU to gauge its efficacy. We followed 1,426 patients admitted to the hospital’s EDOU from 1 January 2011 to 31 December 2014. The average age of patients who stayed in the EDOU increased, whereas the average length of time that they spent there decreased. Although the percentage of patients older than 65 years increased slightly, from 36.42% (2011–2012) to 37.73% (2013–2014), the proportion of those patients between the two periods did not significantly change (P = .61). Moreover, their average length of stay was 2.16 ± 0.91 days, whereas patients younger than 65 years stayed for significantly less time (1.92 ± 0.82 days). By condition, approximately 36% of patients older than 65 years presented with non-neurosurgical trauma, approximately 59% presented with other forms of trauma, but proportions of both categories of trauma were significantly smaller in patients younger than 65 years (nonneurosurgical trauma, 23%; all trauma, 47%). Most elderly patients with limb trauma prepped for surgery were transferred to other hospitals after a few days. Results suggest that the EDOU at the university hospital has served to as a buffer for regional emergency medical systems in Japan, especially given the continued ageing of the Japanese population

Association of Body Mass Index with Ischemic and Hemorrhagic Stroke

Data on the association between body mass index (BMI) and stroke are scarce. We aimed to examine the association between BMI and incident stroke (ischemic or hemorrhagic) and to clarify the relationship between underweight, overweight, and obesity and stroke risk stratified by sex. We analyzed the JMDC Claims Database between January 2005 and April 2020 including 2,740,778 healthy individuals (Median (interquartile) age, 45 (38–53) years; 56.2% men; median (interquartile) BMI, 22.3 (20.2–24.8) kg/m2). None of the participants had a history of cardiovascular disease. Each participant was categorized as underweight (BMI <18.5 kg/m2), normal weight (BMI 18.5–24.9 kg/m2), overweight (BMI 25.0–29.9 kg/m2), or obese (BMI ≥ 30 kg/m2). We investigated the association of BMI with incidence stroke in men and women using the Cox regression model. We used restricted cubic spline (RCS) functions to identify the association of BMI as a continuous parameter with incident stroke. The incidence (95% confidence interval) of total stroke, ischemic stroke, and hemorrhagic stroke was 32.5 (32.0–32.9), 28.1 (27.6–28.5), and 5.5 (5.3–5.7) per 10,000 person-years in men, whereas 25.7 (25.1–26.2), 22.5 (22.0–23.0), and 4.0 (3.8–4.2) per 10,000 person-years in women, respectively. Multivariable Cox regression analysis showed that overweight and obesity were associated with a higher incidence of total and ischemic stroke in both men and women. Underweight, overweight, and obesity were associated with a higher hemorrhagic stroke incidence in men, but not in women. Restricted cubic spline showed that the risk of ischemic stroke increased in a BMI dose-dependent manner in both men and women, whereas there was a U-shaped relationship between BMI and the hemorrhagic stroke risk in men. In conclusion, overweight and obesity were associated with a greater incidence of stroke and ischemic stroke in both men and women. Furthermore, underweight, overweight, and obesity were associated with a higher hemorrhagic stroke risk in men. Our results would help in the risk stratification of future stroke based on BMI