Outcomes of Fracture Surgery in Patients With Escalating Hemoglobin A1C in the Setting of Unmanaged Diabetes.

OBJECTIVE: To determine whether there is a threshold of elevated hemoglobin A1C (HbA1c) above which the complication risk is so high that fracture fixation should be avoided. DESIGN: Retrospective cohort study. SETTING: Academic Level I trauma center. PATIENTS/PARTICIPANTS: A cohort of 187 patients with HbA1c values >7 and operatively treated extremity fractures. INTERVENTION: Surgical fixation of extremity fractures. MAIN OUTCOME MEASUREMENTS: Rate of major orthopaedic complication (loss of reduction, nonunion, infection, and need for salvage procedure). RESULTS: 34.8% demonstrated HbA1c > 9% and 12.3% with HbA1c > 11. Major complications occurred in 31.4%; HbA1c values were not predictive. We found no evidence of a clinically or statistically significant relationship between HbA1c and risk of major complication. The odds ratio for a one-point increase in HbA1c was 1.006 ( P = 0.9439), and the area under the receiver operating characteristic curve, which reflects the average probability that someone with a major complication will have a higher HbA1c than someone without, was 0.51 (95% confidence interval 0.42-0.61), equivalent to random chance. CONCLUSION: Diabetic patients with fracture demonstrated an extremely high overall rate of complications, with 30.5% experiencing a major complication. However, patients with extreme diabetic neglect did not have higher complication rates after extremity fracture fixation when compared with patients with controlled and uncontrolled diabetes. There was no correlation between rate of complication and level of HbA1c. In addition, there was no difference in complication rate between upper and lower extremity fractures or between fractures treated with open or percutaneous fixation. This suggests that fracture treatment decision-making should not be altered for patients with poor diabetic control, and that surgery is not contraindicated in patients with an extremely high HbA1c. LEVEL OF EVIDENCE: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Modeling risk of hypoglycemia during and following physical activity in people with type 1 diabetes using explainable mixed-effects machine learning.

BACKGROUND: Physical activity (PA) can cause increased hypoglycemia (glucose <70 mg/dL) risk in people with type 1 diabetes (T1D). We modeled the probability of hypoglycemia during and up to 24 h following PA and identified key factors associated with hypoglycemia risk. METHODS: We leveraged a free-living dataset from Tidepool comprised of glucose measurements, insulin doses, and PA data from 50 individuals with T1D (6448 sessions) for training and validating machine learning models. We also used data from the T1Dexi pilot study that contains glucose management and PA data from 20 individuals with T1D (139 session) for assessing the accuracy of the best performing model on an independent test dataset. We used mixed-effects logistic regression (MELR) and mixed-effects random forest (MERF) to model hypoglycemia risk around PA. We identified risk factors associated with hypoglycemia using odds ratio and partial dependence analysis for the MELR and MERF models, respectively. Prediction accuracy was measured using the area under the receiver operating characteristic curve (AUROC). RESULTS: The analysis identified risk factors significantly associated with hypoglycemia during and following PA in both MELR and MERF models including glucose and body exposure to insulin at the start of PA, low blood glucose index 24 h prior to PA, and PA intensity and timing. Both models showed overall hypoglycemia risk peaking 1 h after PA and again 5-10 h after PA, which is consistent with the hypoglycemia risk pattern observed in the training dataset. Time following PA impacted hypoglycemia risk differently across different PA types. Accuracy of hypoglycemia prediction using the fixed effects of the MERF model was highest when predicting hypoglycemia during the first hour following the start of PA (AUROCVALIDATION = 0.83 and AUROCTESTING = 0.86) and decreased when predicting hypoglycemia in the 24 h after PA (AUROCVALIDATION = 0.66 and AUROCTESTING = 0.68). CONCLUSION: Hypoglycemia risk after the start of PA can be modeled using mixed-effects machine learning to identify key risk factors that may be used within decision support and insulin delivery systems. We published the population-level MERF model online for others to use.

Risk for Reinfection After SARS-CoV-2: A Living, Rapid Review for American College of Physicians Practice Points on the Role of the Antibody Response in Conferring Immunity Following SARS-CoV-2 Infection.

BACKGROUND: The strength and duration of immunity from infection with SARS-CoV-2 are important for public health planning and clinical practice. PURPOSE: To synthesize evidence on protection against reinfection after SARS-CoV-2 infection. DATA SOURCES: MEDLINE (Ovid), the World Health Organization global literature database, ClinicalTrials.gov, COVID19reviews.org, and reference lists. STUDY SELECTION: Longitudinal studies that compared the risk for reinfection after SARS-CoV-2 infection versus infection risk in individuals with no prior infection. DATA EXTRACTION: Two investigators sequentially extracted study data and rated quality. DATA SYNTHESIS: Across 18 eligible studies, reinfection risk ranged from 0% to 2.2%. In persons with recent SARS-CoV-2 infection compared with unvaccinated, previously uninfected individuals, 80% to 98% of symptomatic infections with wild-type or Alpha variants were prevented (high strength of evidence). In the meta-analysis, previous infection reduced risk for reinfection by 87% (95% CI, 84% to 90%), equaling 4.3 fewer infections per 100 persons in both the general population (risk difference, -0.043 [CI, -0.071 to -0.015]) and health care workers (risk difference, -0.043 [CI, -0.069 to -0.016]), and 26.6 fewer infections per 100 persons in care facilities (risk difference, -0.266 [CI, -0.449 to -0.083]). Protection remained above 80% for at least 7 months, but no study followed patients after the emergence of the Delta or Omicron variant. Results for the elderly were conflicting. LIMITATION: Methods to ascertain and diagnose infections varied. CONCLUSION: Before the emergence of the Delta and Omicron variants, persons with recent infection had strong protection against symptomatic reinfections for 7 months compared with unvaccinated, previously uninfected individuals. Protection in immunocompromised persons, racial and ethnic subgroups, and asymptomatic index case patients is unclear. The durability of protection in the setting of the Delta and Omicron variants is unknown. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality. (PROSPERO: CRD42020207098).

Below the Surface: Caregivers' Experience of Hospital-to-Home Transitions.

OBJECTIVE: Our aim was to understand the breadth of the hospital-to-home experience from the caregiver perspective using a mixed method approach. METHODS: Caregivers of children who experienced an inpatient admission (N = 184) completed a hospital-to-home transition questionnaire after discharge. Twenty-six closed-ended survey items captured child's hospitalization, discharge, and postdischarge experiences and were analyzed using descriptive statistics. Four additional free-response items allowed caregivers to expand on specific challenges or issues. A conventional content analysis coding framework was applied to the free responses. RESULTS: Ninety-one percent of caregivers reported satisfaction with the hospital experience and 88% reported they understood how to manage their child's health after discharge. A majority of survey respondents (74%) provided answers to 1 or more of the qualitative free-response items. In the predischarge period, qualitative responses centered on concerns related to finances or available resources and support, communication, hospital environment, and the discharge process. Responses for the postdischarge time period centered on family well-being (child health, other family member health), finances (bills, cost of missed work), and medical follow-up (supplies, appointments, instruction). CONCLUSIONS: Caregivers were generally satisfied with their hospital experience; however, incorporating survey items specifically related to family stressors either through closed- or open-ended questions gave a richer context for caregiver-identified concerns. Basing future quality improvement efforts on supporting caregiver needs and identifying stressors before discharge may make for a more robust and successful transition to home.

Moving Through the Pipeline: Ethnic and Linguistic Disparities in Special Education from Birth Through Age Five.

This study examined Oregon's early intervention (EI) and early childhood special education (ECSE) pipelines as a function of children's intersecting ethnicity and home language(s) with a focus on children from Latino/a backgrounds with communication disorders. We found differences in children's referral source and age of referral, likelihood of evaluation and placement, and type of placement for conditions related to communication, including autism spectrum disorder and hearing impairment. Results showed differences in EI and ECSE; however, disproportionality appeared greatest among Spanish-speaking Latino/a children and non-Latino/a children who spoke languages other than English compared to non-Latino/a English-speaking counterparts. Our findings suggest attending to children's intersecting ethnicity and language backgrounds in referral, evaluation, and placement add nuance to examinations of disproportionality. Results also indicate that practices related to characterizing children's communication disorders likely make substantial contributions to inequities in EI and ECSE. Precise identification of differences in service provision can lead to targeted policy and practice solutions to reduce structural barriers to care in EI/ECSE systems and improve equity, particularly as related to placement for children of color with communication concerns.

Dual-Hormone Closed-Loop System Using a Liquid Stable Glucagon Formulation Versus Insulin-Only Closed-Loop System Compared With a Predictive Low Glucose Suspend System: An Open-Label, Outpatient, Single-Center, Crossover, Randomized Controlled Trial.

OBJECTIVE: To assess the efficacy and feasibility of a dual-hormone (DH) closed-loop system with insulin and a novel liquid stable glucagon formulation compared with an insulin-only closed-loop system and a predictive low glucose suspend (PLGS) system. RESEARCH DESIGN AND METHODS: In a 76-h, randomized, crossover, outpatient study, 23 participants with type 1 diabetes used three modes of the Oregon Artificial Pancreas system: 1) dual-hormone (DH) closed-loop control, 2) insulin-only single-hormone (SH) closed-loop control, and 3) PLGS system. The primary end point was percentage time in hypoglycemia (<70 mg/dL) from the start of in-clinic aerobic exercise (45 min at 60% VO2max) to 4 h after. RESULTS: DH reduced hypoglycemia compared with SH during and after exercise (DH 0.0% [interquartile range 0.0-4.2], SH 8.3% [0.0-12.5], P = 0.025). There was an increased time in hyperglycemia (>180 mg/dL) during and after exercise for DH versus SH (20.8% DH vs. 6.3% SH, P = 0.038). Mean glucose during the entire study duration was DH, 159.2; SH, 151.6; and PLGS, 163.6 mg/dL. Across the entire study duration, DH resulted in 7.5% more time in target range (70-180 mg/dL) compared with the PLGS system (71.0% vs. 63.4%, P = 0.044). For the entire study duration, DH had 28.2% time in hyperglycemia vs. 25.1% for SH (P = 0.044) and 34.7% for PLGS (P = 0.140). Four participants experienced nausea related to glucagon, leading three to withdraw from the study. CONCLUSIONS: The glucagon formulation demonstrated feasibility in a closed-loop system. The DH system reduced hypoglycemia during and after exercise, with some increase in hyperglycemia.

The Role of Caregiver-Reported Risks in Predicting Adverse Pediatric Outcomes.

OBJECTIVE: Certain social risk factors (e.g., housing instability, food insecurity) have been shown to directly and indirectly influence pediatric health outcomes; however, there is limited understanding of which social factors are most salient for children admitted to the hospital. This study examines how caregiver-reported social and medical characteristics of children experiencing an inpatient admission are associated with the presence of future health complications. METHODS: Caregivers of children experiencing an inpatient admission (N = 249) completed a predischarge questionnaire designed to capture medical and social risk factors across systems (e.g., patient, caregiver, family, community, healthcare environment). Electronic health record (EHR) data were reviewed for child demographic data, chronic disease status, and subsequent emergency department visits or readmissions (i.e., acute events) 90 days postindex hospitalization. Associations between risk factors and event presence were estimated using odds ratios (ORs) and confidence intervals (CI), both unadjusted and adjusted OR (aOR) for chronic disease and age. RESULTS: Thirty-three percent (N = 82) of children experienced at least one event. After accounting for child age and chronic disease status, caregiver perceptions of child's health being generally "poor" or "not good" prior to discharge (aOR = 4.7, 95% CI = 2.3, 9.7), having high care coordination needs (aOR = 3.2, 95% CI = 1.6, 6.1), and experiencing difficulty accessing care coordination (aOR = 2.5, 95% CI = 1.4, 4.7) were significantly associated with return events. CONCLUSIONS: Caregiver report of risks may provide valuable information above and beyond EHR records to both determine risk of future health problems and inform intervention development.

Identification of Caregiver-Reported Social Risk Factors in Hospitalized Children.

OBJECTIVES: Although health systems are increasingly moving toward addressing social determinants of health, social risk screening for hospitalized children is largely unexplored. We sought to determine if inpatient screening was feasible and describe the prevalence of social risk among children and caregivers, with special attention given to children with chronic conditions. METHODS: Caregivers of pediatric patients on the hospitalist service at a children's hospital in the Pacific Northwest completed a social risk survey in 2017. This survey was used to capture items related to caregiver demographics; socioeconomic, psychosocial, and household risks; and adverse childhood experiences (ACEs). Charts were reviewed for child demographics and medical complexity. Results were tabulated as frequency distributions, and analyses compared the association of risk factors with a child's medical complexity by using χ2 tests. RESULTS: A total of 265 out of 304 (87%) caregivers consented to participate. One in 3 families endorsed markers of financial stress (eg, difficulty paying for food, rent, or utilities). Forty percent experienced medical bill or insurance troubles. Caregiver mental health concerns were prevalent, affecting over one-third of all respondents. ACEs were also common, with 38% of children having at least 1 ACE. The presence of any ACE was more likely for children with chronic conditions than those without. CONCLUSIONS: We found that social risk screening in the inpatient setting was feasible; social risk was uniformly common and did not disproportionately affect those with chronic diseases. Knowing the prevalence of social risk may assist in appropriate alignment of interventions tiered by social complexity.

Use of Telehealth Videoconferencing in Pediatric Type 1 Diabetes in Oregon.

INTRODUCTION: We reviewed the impact of telehealth videoconferencing clinics on outcomes of care in pediatric patients with type 1 diabetes in rural Oregon. METHODS: We performed a chart review as well as the review of patient satisfaction questionnaires from 27 patients seen in the first year of the program. RESULTS: The number of yearly visits to diabetes clinic increased from average 1.5 to 2.7, which was statistically significant (p < 0.0001). Glycemic control remained stable, and there was no difference in the amount of emergency department visits or hospitalizations related to diabetes. Patients expressed high satisfaction with the service and majority considered it equal to in-person visits. CONCLUSION: We conclude that telehealth videoconferencing visits have the potential to improve care in pediatric diabetes patients, particularly the patients living in areas distant from subspecialty centers.

Reliability of Trained Dogs to Alert to Hypoglycemia in Patients With Type 1 Diabetes.

BACKGROUND: We examined the reliability of trained dogs to alert to hypoglycemia in individuals with type 1 diabetes. METHODS: Patients with type 1 diabetes who currently used diabetes alert dogs participated in this exploratory study. Subjects reported satisfaction, perceived dog glucose sensing ability and reasons for obtaining a trained dog. Reliability of dog alerts was assessed using capillary blood glucose (CBG) and blinded continuous glucose monitoring (CGM) as comparators in 8 subjects (age 4-48). Hypoglycemia was defined as CBG or CGM <70 mg/dL. RESULTS: Dog users were very satisfied (8.9/10 on a Likert-type scale) and largely confident (7.9/10) in their dog's ability to detect hypoglycemia. Detection of hypoglycemia was the primary reason for obtaining a trained dog. During hypoglycemia, spontaneous dog alerts occurred at a rate 3.2 (2.0-5.2, 95% CI) times higher than during euglycemia (70-179 mg/dL). Dogs provided timely alerts in 36% (sensitivity) of all hypoglycemia events (n = 45). Due to inappropriate alerts, the PPV of a dog alert for hypoglycemia was 12%. When there was concurrence of a hypoglycemic event between the dog alert and CGM (n = 30), CGM would have alerted prior to the dog in 73% of events (median 22-minute difference). CONCLUSIONS: This is the first study evaluating reliability of trained dogs to alert to hypoglycemia under real-life conditions. Trained dogs often alert a human companion to otherwise unknown hypoglycemia; however due to high false-positive rate, a dog alert alone is unlikely to be helpful in differentiating hypo-/hyper-/euglycemia. CGM often detects hypoglycemia before a trained dog by a clinically significant margin.

Axillary Lymph Node Dissection Is a Risk Factor for Major Complications After Immediate Breast Reconstruction.

BACKGROUND: Complications after immediate breast reconstruction pose a significant challenge to the reconstructive surgeon. Known risk factors include smoking, obesity, age, and adjuvant oncologic therapies. Less is known about the association between axillary lymph node dissection (ALND) and the development of postoperative complications. METHODS: We conducted a retrospective study of all patients who underwent immediate breast reconstruction after mastectomy at our institution over a 10-year period. Our outcome was an occurrence of a major complication within 90 days postoperatively. For each patient, we recorded data on demographics, smoking status, pertinent medical history, reconstruction type, adjuvant chemotherapy and radiation, tumor pathology, and whether an ALND was performed. Odds ratios (OR) were calculated to estimate the risk of a complication if an ALND was performed. RESULTS: One hundred eighty-four women, with 270 surgically treated breasts, were identified as having mastectomy with immediate reconstruction between 2002 and 2012. Mean age was 49.4 years (range, 25-84 years). There were 71 mastectomies with ALND performed, with 22 complications, and 199 mastectomies without ALND, with 20 complications (31% complication rate vs 10%, respectively; OR, 3.84; P < 0.001). When adjusted for reconstruction type, smoking history, obesity, age, presence of invasive disease, chemotherapy, and radiation therapy, the OR for complications was 3.49 (P < 0.01). The most common complication was infection in both groups. CONCLUSIONS: Mastectomy with ALND is associated with a 3-fold increase in risk of major complications in women undergoing immediate breast reconstruction, even after adjustment for known risk factors and confounders. Further studies are warranted to elucidate how ALND leads to these complications and what measures can reduce their occurrence.

Impact of educational video on critical congenital heart disease screening.

OBJECTIVE: To assess the status of pulse oximetry screening and barriers to implementing screening programs. METHODS: This was a prospective pre-post intervention survey of nurse managers and medical directors of hospital-based birthing centers in Oregon, Idaho, and Southern Washington. The intervention was a 7-minute video demonstrating and discussing pulse oximetry screening for critical congenital heart disease. RESULTS: Analysis of matched pairs showed a significant increase in the use of pulse oximetry screening during the study period from 52% to 73% (P < .0001). Following implementation of the video, the perception of all queried potential barriers decreased significantly among individuals from hospitals self-identified as nonscreening at baseline. Viewing the educational video was associated with an increase in the percentage of individuals from nonscreening hospitals that rated screening as "very beneficial" (45% vs 90%, P = .0001). CONCLUSIONS: An educational video was associated with improved opinions of pulse oximetry screening among hospitals not currently screening.