To empirically define a "delay" for hip fracture surgery based on clinical outcomes, and to identify patient demographics and hospital factors contributing to surgical delay. Retrospective database analysis. Hospital discharge data. A total of 2,121,215 patients undergoing surgical repair of hip fracture in the National Inpatient Sample between 2000 and 2009. Internal fixation or partial/total hip replacement. Logistic regressions were performed to assess the effect of surgical timing on in-hospital complication and mortality rates, controlling for patient characteristics and hospital attributes. Subsequent regressions were performed to analyze which patient characteristics (age, gender, race, comorbidity burden, insurance status, and day of admission) and hospital factors (size, teaching status, and region) independently contributed to the likelihood of surgical delay. Compared to same-day surgery, each additional day of delay was associated with a significantly higher overall complication rate. However, next-day surgery was not associated with an increased risk of in-hospital mortality. Surgery 2 calendar days (odds ratio: 1.13) and 3+ days (odds ratio: 1.33) after admission was associated with higher mortality rates. Based on these findings, "delay" was defined as surgery performed 2 or more days after admission. Significant factors related to surgical delay included comorbidity score, race, insurance status, hospital region, and day of admission. Surgical delay in hip fracture care contributes to patient morbidity and mortality. A variety of patient and hospital characteristics seem to contribute to surgical delay and point to important health care disparities. Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.

BACKGROUND Unstable pelvic fracture is predominantly caused by high-energy blunt trauma and is associated with a high risk of mortality. The epidemiology in the United States is largely unknown. The purpose of this study was to examine the epidemiology of unstable pelvic fracture based on patient and hospital demographics in the United States during the last decade. METHODS The Nationwide Inpatient Sample was used to identify patients who were hospitalized with unstable pelvic fracture from 2000 to 2009, using the International Classification of Diseases—9th Rev.—Clinical Modification (ICD-9-CM) codes. The primary outcome parameter consisted of analyzing the temporal trends of in-hospital admissions for unstable pelvic fracture and the associated in-hospital mortality. The data were stratified by demographic variables, including age, sex, race, and hospital region in the United States. RESULTS From 2000 to 2009, there were 24,059 patients in total; among these, 1,823 (7.6%) had open fractures, and 22,236 (92.4%) had closed fractures. The population growth-adjusted incidence was stable over time (p = 0.431). The incidence was the lowest in the northeastern region. The in-hospital mortality rate in patients with unstable pelvic fracture was 8.3% (21.3% for open fracture, 7.2% for closed fracture) and remained stable over time (p = 0.089). The in-hospital mortality rate was higher in several subgroups of patients, such as older patients, male patients, African-American patients, and patients in the northeastern region. CONCLUSION During the last decade, the incidence of unstable pelvic fracture has remained stable over time in the United States. The in-hospital mortality rate in patients with unstable pelvic fracture was 8.3% and remained stable over time. The rate in patients with an open fracture was approximately three times higher than that in patients with a closed fracture. The incidence was the lowest, but the in-hospital mortality rate was the highest in the northeastern region compared with the other three regions. LEVEL OF EVIDENCE Epidemiologic study, level III.

Safety of evacuation is of paramount importance in disaster planning for elderly people; however, little effort has been made to investigate evacuation-related mortality risks. After the Fukushima Daiichi Nuclear Plant accident we conducted a retrospective cohort survival survey of elderly evacuees. A total of 715 residents admitted to five nursing homes in Minamisoma city, Fukushima Prefecture in the five years before 11th March 2011 joined this retrospective cohort study. Demographic and clinical characteristics were drawn from facility medical records. Evacuation histories were tracked until the end of 2011. The evacuation's impact on mortality was assessed using mortality incidence density and hazard ratios in Cox proportional hazards regression. Overall relative mortality risk before and after the earthquake was 2.68 (95% CI: 2.04–3.49). There was a substantial variation in mortality risks across the facilities ranging from 0.77 (95% CI: 0.34–1.76) to 2.88 (95% CI: 1.74–4.76). No meaningful influence of evacuation distance on mortality was observed although the first evacuation from the original facility caused significantly higher mortality than subsequent evacuations, with a hazard ratio of 1.94 (95% CI: 1.07–3.49). High mortality, due to initial evacuation, suggests that evacuation of the elderly was not the best life-saving strategy for the Fukushima nuclear disaster. Careful consideration of the relative risks of radiation exposure and the risks and benefits of evacuation is essential. Facility-specific disaster response strategies, including in-site relief and care, may have a strong influence on survival. Where evacuation is necessary, careful planning and coordination with other nursing homes, evacuation sites and government disaster agencies is essential to reduce the risk of mortality.

Suicide is an extreme consequence of the psychological burden associated with the coronavirus disease 2019 (COVID-19) counter-measures. A quasi-Poisson regression was applied to monthly suicide mortality data obtained from the National Police Agency to estimate the gender-specific excess/exiguous suicide deaths during the COVID-19 pandemic in Japan up to September 2020. We found excess suicide deaths among women in July, August and September, but not among men. Our results indicate the importance of COVID-19 related suicide prevention, especially for women. Timely access to mental health care and financial and social support is urgently needed, as is optimal treatment for mental illness.