Hypoglycemic and Hyperglycemic Crises Among U.S. Adults With Diabetes and End-stage Kidney Disease: Population-Based Study, 2013-2017.

OBJECTIVE: We characterized annual trends of severe hypoglycemic and hyperglycemic crises (diabetic ketoacidosis/hyperglycemic hyperosmolar state) in patients with diabetes and end-stage kidney disease (ESKD). RESEARCH DESIGN AND METHODS: This was a nationwide, retrospective study of adults (≥18 years old) with diabetes/ESKD, from the United States Renal Data System registry, between 2013 and 2017. Primary outcome was annual rates of emergency department visits or hospitalizations for hypoglycemic and hyperglycemic crises, reported as number of events/1,000 person-years. Event rates and risk factors were adjusted for patient age, sex, race/ethnicity, dialysis modality, comorbidities, treatment regimen, and U.S. region. RESULTS: Among 521,789 adults with diabetes/ESKD (median age 65 years [interquartile range 57-73], 56.1% male, and 46% White), overall adjusted rates of hypoglycemic and hyperglycemic crises were 53.64 and 18.24 per 1,000 person-years, respectively. For both hypoglycemia and hyperglycemia crises, respectively, the risks decreased with age and were lowest in older patients (≥75 vs. 18-44 years old: incidence rate ratio 0.35, 95% CI 0.33-0.37, and 0.03, 0.02-0.03), women (1.09, 1.06-1.12, and 1.44, 1.35-1.54), and those with smoking (1.36, 1.28-1.43, and 1.71, 1.53-1.91), substance abuse (1.27, 1.15-1.42, and 1.53, 1.23-1.9), retinopathy (1.10, 1.06-1.15, and 1.36, 1.26-1.47), and insulin therapy (vs. no therapy; 0.60, 0.59-0.63, and 0.44, 0.39-0.48). For hypoglycemia, specifically, additional risk was conferred by Black race (1.11, 1.08-1.15) and amputation history (1.20, 1.13-1.27). CONCLUSIONS: In this nationwide study of patients with diabetes/ESKD, hypoglycemic crises were threefold more common than hyperglycemic crises, greatly exceeding national reports in nondialysis patients with chronic kidney disease. Young, Black, and female patients were disproportionately affected.

Epidemiology of paediatric pain-related visits to emergency departments in the USA: a cross-sectional study.

OBJECTIVE: To describe the epidemiology of paediatric pain-related visits to emergency departments (EDs) across the USA. DESIGN: Cross-sectional study. SETTING: A representative sample of US ED visits using data from the National Hospital Ambulatory Medical Care Survey (NHAMCS). PARTICIPANTS: Paediatric (age ≤18 years) ED visits in the 2017 NHAMCS data set. DATA ANALYSIS: Each visit was coded as pain-related or non-pain-related using the 'reason for visit' variable. Weighted proportions were calculated with 95% CIs. Logistic regression was used to compare odds of pain-related visits. OUTCOME MEASURES: Prevalence of pain-related visits among paediatric ED visits. RESULTS: There were an estimated 35 million paediatric ED visits in the USA in 2017, 55.6% (CI 53.3% to 57.8%) were pain related, which equates to 19.7 million annual visits. The prevalence of pain-related visits reached more than 50% of visits at age 6-7 and plateaued at relatively high proportions. Children of races other than white or black had lower odds of having a pain-related visit (OR 0.48, CI 0.29 to 0.81) than white children, as did children who were black, though the difference was not statistically significant (OR 0.88, CI 0.73 to 1.06). Relative to children covered by private insurance, children with Medicaid or CHIP (Children's Health Insurance Program) coverage had lower odds of a pain-related visit (OR 0.75, CI 0.60 to 0.93). Injuries represented 46.5% (CI 42.0% to 51.0%) of pain-related visits. Pain scores were reported in less than 50% of pain-related visits. CONCLUSION: Pain is the reason for visit in 55.6% of paediatric ED visits across the USA. The prevalence of pain-related visits peak before adolescence and it continues relatively high until the age 18. Injury, racial disparities in pain and poor pain score reporting should remain major topics of study in the paediatric population.

Association Between Area-Level Socioeconomic Deprivation and Diabetes Care Quality in US Primary Care Practices.

Importance: Diabetes management operates under a complex interrelationship between behavioral, social, and economic factors that affect a patient's ability to self-manage and access care. Objective: To examine the association between 2 complementary area-based metrics, area deprivation index (ADI) score and rurality, and optimal diabetes care. Design, Setting, and Participants: This cross-sectional study analyzed the electronic health records of patients who were receiving care at any of the 75 Mayo Clinic or Mayo Clinic Health System primary care practices in Minnesota, Iowa, and Wisconsin in 2019. Participants were adults with diabetes aged 18 to 75 years. All data were abstracted and analyzed between June 1 and November 30, 2020. Main Outcomes and Measures: The primary outcome was the attainment of all 5 components of the D5 metric of optimal diabetes care: glycemic control (hemoglobin A1c <8.0%), blood pressure (BP) control (systolic BP <140 mm Hg and diastolic BP <90 mm Hg), lipid control (use of statin therapy according to recommended guidelines), aspirin use (for patients with ischemic vascular disease), and no tobacco use. The proportion of patients receiving optimal diabetes care was calculated as a function of block group-level ADI score (a composite measure of 17 US Census indicators) and zip code-level rurality (calculated using Rural-Urban Commuting Area codes). Odds of achieving the D5 metric and its components were assessed using logistic regression that was adjusted for demographic characteristics, coronary artery disease history, and primary care team specialty. Results: Among the 31 934 patients included in the study (mean [SD] age, 59 [11.7] years; 17 645 men [55.3%]), 13 138 (41.1%) achieved the D5 metric of optimal diabetes care. Overall, 4090 patients (12.8%) resided in the least deprived quintile (quintile 1) of block groups and 1614 (5.1%) lived in the most deprived quintile (quintile 5), while 9193 patients (28.8%) lived in rural areas and 2299 (7.2%) in highly rural areas. The odds of meeting the D5 metric were lower for individuals residing in quintile 5 vs quintile 1 block groups (odds ratio [OR], 0.72; 95% CI, 0.67-0.78). Patients residing in rural (OR, 0.84; 95% CI, 0.73-0.97) and highly rural (OR, 0.81; 95% CI, 0.72-0.91) zip codes were also less likely to attain the D5 metric compared with those in urban areas. Conclusions and Relevance: This cross-sectional study found that patients living in more deprived and rural areas were significantly less likely to attain high-quality diabetes care compared with those living in less deprived and urban areas. The results call for geographically targeted population health management efforts by health systems, public health agencies, and payers.

Increasing Allergy-Related Emergency Department Visits in the United States, 2007 to 2015.

BACKGROUND: Allergic reactions, angioedema, and anaphylaxis are commonly treated in the emergency department (ED). Contemporary evidence suggests that these conditions may be increasing in the United States. OBJECTIVE: To evaluate the contemporary epidemiology and trends of ED visits for allergic reactions, angioedema, and anaphylaxis in the United States from 2007 to 2015. METHODS: Using de-identified data from the National Hospital Ambulatory Medical Care Survey from 2007 to 2015, we identified cases of acute allergic reactions, angioedema, and anaphylaxis through International Classification of Diseases, 9th Revision, Clinical Modification codes and conducted a retrospective analysis of rates and trends of these allergy-related ED visits. RESULTS: There was a 14% overall increase in allergy-related ED visits between 2007 and 2015. Approximately 10 million ED visits in this time frame were associated with allergy-related conditions accounting for 0.85% (95% CI, 0.79-0.90) of all ED visits in the United States. Almost 3% of allergy-related ED visits were coded as anaphylaxis of which 46.1% (95% CI, 27.5-64.6) received epinephrine. Patients younger than 10 years had a higher relative risk (1.3; 95% CI, 1.0-1.6; P = .027) of allergy-related ED visits per 1000 ED visits than patients 65 years and older, and women also had a higher relative risk (1.4; 95% CI, 1.2-1.5; P < .001) than men. CONCLUSIONS: Allergy-related ED visits increased 14% from 2007 to 2015, with the highest relative risk occurring in patients younger than 10 years. These data provide further evidence of increasing allergic conditions in the United States.

Attitudes and Behavior of Health Care Workers Before, During, and After Implementation of Real-Time Location System Technology.

OBJECTIVE: To assess how staff attitudes before, during, and after implementation of a real-time location system (RTLS) that uses radio-frequency identification tags on staff and patient identification badges and on equipment affected staff's intention to use and actual use of an RTLS. PARTICIPANTS AND METHODS: A series of 3 online surveys were sent to staff at an emergency department with plans to implement an RTLS between June 1, 2015, and November 29, 2016. Each survey corresponded with a different phase of implementation: preimplementation, midimplementation, and postimplementation. Multiple logistic regression with backward elimination was used to assess the relationship between demographic variables, attitudes about RTLSs, and intention to use or actual use of an RTLS. RESULTS: Demographic variables were not associated with intention to use or actual use of the RTLS. Before implementation, poor perceptions about the technology's usefulness and lack of trust in how employers would use tracking data were associated with weaker intentions to use the RTLS. During and after implementation, attitudes about the technology's use, not issues related to autonomy and privacy, were associated with less use of the technology. CONCLUSION: Real-time location systems have the potential to assess patterns of health care delivery that could be modified to reduce costs and improve the quality of care. Successful implementation, however, may hinge on how staff weighs attitudes and concerns about their autonomy and personal privacy with organizational goals. With the large investments required for new technology, serious consideration should be given to address staff attitudes about privacy and technology in order to assure successful implementation.