How teacher behaviors and perceptions, air change rates, and portable air purifiers affect indoor air quality in naturally ventilated schools.

Introduction: Many school buildings have inadequate ventilation, rudimentary if any air filtration, and aging and poorly maintained mechanical systems, all of which can lead to poor indoor air quality (IAQ). These issues are especially acute in environmental justice (EJ) communities where schools are located in polluted areas. This community-based participatory research examines how IAQ in naturally ventilated school buildings is affected by the use of air purifiers, air change rates, outdoor pollution levels, and teacher and staff behavior. Methods: IAQ assessments were performed at two schools in Detroit, Michigan, which included building walk-through inspections and continuous indoor and outdoor measurements of black carbon (BC), particulate matter (PM10 and PM2.5), carbon dioxide (CO2), air change rates (ACRs), temperature, humidity, and sound pressure levels. Air purifiers with usage monitors were then installed, and the IAQ assessments were repeated. Teachers were surveyed before and after purifier deployment. Results: At baseline, classrooms had low ACRs (0.58-1.38 h-1), moderate PM2.5 levels (2.8-8.9 µg/m3), highly variable PM10 concentrations (4.7-37.5 µg/m3), and elevated BC levels (0.3-0.7 µg/m3), reflecting emissions from local traffic, industry and other sources. The installation and use of purifiers reduced pollutant levels and the overall performance matched the predictions of a single compartment model. However, daily reductions varied widely among classrooms, reflecting differences in teacher behavior regarding the frequency of opening windows and the operation of purifiers, including differences in purifier fan speed settings and whether purifiers were used at night. Survey responses indicated that many teachers were aware of IAQ problems. The higher rates reported for health symptoms and dissatisfaction at one school may have lowered the teachers' tolerance to noise and reduced purifier use. Discussion: The study helps explain the variation reported in prior studies using purifiers, and it reinforces the need to monitor IAQ and purifier use, use enhanced filtration and increase ventilation, and engage with teachers and school staff to support and maintain IAQ programs in schools.

Missing School Days Following Sport-Related Concussion in High School Athletes.

Importance: Sport-related concussions (SRC) can significantly impact students' attendance and academic performance, highlighting the importance of gradual return-to-learn protocols for recovery. Understanding the association between missed school days and recovery, especially across genders, is vital for effective concussion management in high school athletes. Objectives: To describe missed school days in high school athletes with SRC and to determine associations between missed school days and authorized clearance to return to competition; secondarily, to determine whether school days missed differed by gender. Design, Setting, and Participants: Cohort study among student athletes participating in athletics sponsored by the Michigan High School Athletic Association (MHSAA) during academic years 2015 to 2023. SRC was a participant eligibility criterion and was defined as a head injury during participation in a MHSAA-sanctioned event. Data were analyzed from August 2015 to June 2023. Exposures: Primary exposure was missed school days; additional exposures included gender, year of season, concussion history, event type, sport level, contact level, and athletic trainer involvement. Main Outcome and Measure: The primary outcome was time to full unrestricted clearance following SRC. Results: The analysis included a total of 20 934 individuals with SRC (13 869 boys [66.25%]). Gender (χ23 = 167.40; P < .001), season (χ221 = 57.41; P < .001), event type (χ23 = 99.29; P < .001), sport level (χ29 = 68.15; P < .001), contact level (χ26 = 56.73; P < .001), and initial evaluation (χ23 = 147.13; P < .001) were independently associated with missed school days. Athletes took a median (IQR) of 11 (7-16) days to return to full unrestricted clearance. Relative to no missed school days, there was a significant mean increase of 57% (incidence rate ratio, 1.57; 95% CI, 1.52-1.62) in time to full unrestricted clearance for 3 or more missed school days. The estimated mean days to return to sport were 12.15 (95% CI, 12.00-12.30) for 0 missed school days, 12.68 (95% CI, 12.39-12.96) for 1 missed school day, 15.47 (95% CI, 15.06-15.87) for 2 missed school days, and 19.08 (95% CI, 18.55-19.62) for 3 or more missed school days. Conclusions and Relevance: This cohort study found that high school athletes typically missed 2 or fewer school days after SRC, suggesting that concussion management teams adhered to current recommendations of 24 to 48 hours of initial rest. The dose association, with more missed school days associated with slower return to play, suggests athletes' missing more school days (eg, ≥3) may be associated with severity of concussion and warrant additional support to return to school and/or sport.

The Michigan Collaborative for Type 2 Diabetes (MCT2D): Development and implementation of a statewide collaborative quality initiative.

BACKGROUND: Type 2 diabetes (T2D) is one of the most prevalent chronic diseases worldwide and a leading cause of cardiorenal disease and mortality. Only one-third of individuals with T2D receive care as recommended by the American Diabetes Association's clinical practice guidelines. Effective strategies are needed to accelerate the implementation of guideline concordant T2D care. METHODS: The Michigan Collaborative for Type 2 Diabetes (MCT2D) is a statewide population health collaborative quality initiative (CQI) developed to improve the care of all people with T2D in Michigan. MCT2D has developed a learning health system with physician organizations and their constituent practices to support quality improvement initiatives focused on (1) improving use of guideline-directed pharmacotherapy to improve cardiorenal outcomes, (2) increasing evidence-based use of continuous glucose monitoring, and (3) supporting use of lower carbohydrate eating patterns. RESULTS: Between 2021 and 2022, MCT2D recruited 28 of the 40 Michigan-based physician organizations participating in Blue Cross' Physician Group Incentive Program with 336 constituent practices and 1357 physicians in primary care (304), endocrinology (21) and nephrology (11). In January 2022, baseline data included a sample of 96,140 unique individuals with T2D. The baseline HbA1c was ≤ 7.0% for 66.3% of patients (n = 32,787), while 14.9% of patients had a most recent HbA1c ≥ 8.0% (n = 7,393). The most recent body mass index (BMI) was ≥ 30.0 for 64.8% of patients (n = 38,516). DISCUSSION: MCT2D has organized a statewide collaborative to recruit and engage a diverse and large set of physician organizations and their constituent practices. This is a promising opportunity to accelerate adoption of guideline-concordant care for people with T2D and may be a model for other state or regional collaboratives. Future directions include specific evidence-based interventions targeted at reducing diabetes-linked comorbidities and associated healthcare costs as well as strategies focused on T2D prevention among at-risk populations.

Understanding nightmares after traumatic events in Detroit (UNiTED): prospective associations with interpersonal violence and posttraumatic stress disorder symptoms.

ABSTRACTBackground: Research suggests trauma-related nightmares (TRNs) during the acute aftermath of trauma may contribute to posttraumatic stress disorder (PTSD). However, it is unknown who is most vulnerable to TRNs, which is critical to identify at-risk patients toward whom early nightmare-focused treatments can be targeted to prevent PTSD.Objective: We tested trauma type (interpersonal violence [e.g. assault] vs non-interpersonal trauma [e.g. motor vehicle collision]) as a risk factor for TRNs in a predominantly low-income, Black, urban sample in Detroit, MI, USA.Method: We recruited patients from the intensive care unit following traumatic injury (N = 88; Mage = 39.53 ± SD 14.31 years, 67.0% male, 67.0% Black, 47.7% annual income ≤ $20,000) and administered surveys at three post trauma timepoints: one week (T1), one month (T2; n = 61), and two months (T3; n = 59). Trauma type was assessed at T1 via electronic medical records. Participants reported the extent to which their dreams' content was similar to the trauma for which they were hospitalized across T1-T3. Participants then completed the PTSD Checklist for DSM-5 at T3.Results: TRNs were more prevalent over time among patients exposed to interpersonal violence (80%) vs non-interpersonal trauma (48.7%, p = .005). Patients hospitalized for interpersonal violence faced greater odds for TRNs across timepoints relative to non-interpersonal trauma patients (Odds Ratio = 4.95, p = .021). TRNs, in turn, prospectively predicted PTSD symptoms such that TRNs at T2 presaged more severe PTSD at T3 (p = .040, ηp2 = .31), above and beyond T1 PTSD status.Conclusions: This prospective study provides first evidence that interpersonal violence exposure is a robust risk factor for TRNs, which prospectively contribute to PTSD symptom development. Early intervention on TRNs after interpersonal violence exposure may decrease PTSD risk. Future studies are encouraged to use ambulatory methods to capture nightmares sooner after they occur.

Interpersonal violence exposure is a risk factor for trauma-related nightmaresTrauma-related nightmares predict PTSD symptoms, above and beyond baseline PTSDTreating nightmares early after interpersonal violence may decrease PTSD risk.

Use of a Liaison-Mediated Referral Strategy and Participation in Cardiac Rehabilitation After Percutaneous Coronary Intervention.

BACKGROUND: Cardiac rehabilitation (CR) improves outcomes following percutaneous coronary intervention (PCI) but remains underutilized. A liaison-mediated referral (LMR), where a health care professional explains CR's benefits, addresses barriers to participation, and places a referral before discharge, may promote CR use. Our objective was to assess the impact of an LMR on CR participation after PCI. METHODS: This was a retrospective study of patients who underwent PCI across 48 hospitals in Michigan between January 2021 and April 2022 and referred to CR before discharge. Clinical registry data were linked to administrative claims to identify the primary outcome, CR participation, defined as ≥1 CR session within 90 days of discharge. Bayesian hierarchical logistic regression was used to compare CR participation between patients with and without an LMR. For the secondary outcome, frailty proportional hazard modeling compared days elapsed between discharge and first CR session between liaison cohorts. RESULTS: Among 9023 patients referred to CR after PCI, 4323 (47.9%) underwent an LMR (mean age, 69.3 [SD=11] years; 68.3% male) and 3390 (36.7%) attended ≥1 CR session within 90 days of discharge. The LMR cohort had a higher unadjusted CR participation rate (43.1% [95% CI, 41.5%-44.6%] versus 32.4% [95% CI, 31.1%-33.8%]; P<0.001), a higher adjusted odds ratio of attending ≥1 CR session (adjusted odds ratio, 1.21; 95% credible interval, 1.07-1.38), and a shorter delay in attending the first CR session compared with the non-LMR cohort (28 [interquartile range, 19-42] versus 33 [interquartile range, 21-47] days; P<0.001). CONCLUSIONS: An LMR was associated with higher odds of CR participation and may mitigate delays in CR enrollment. This referral strategy may improve CR participation and patient outcomes after PCI.

Association Between Neurological Status and Outcomes in Cardiac Arrest Patients Undergoing PCI in Contemporary Practice: Insights From BMC2.

BACKGROUND: Coronary artery disease remains the largest contributor to cardiac arrests worldwide; yet, long-term outcomes are often driven by neurological status after resuscitation. We examined the association between pre-percutaneous coronary intervention (PCI) level of consciousness (LOC) and outcomes among patients with cardiac arrest who underwent PCI. METHODS: The study cohort included patients undergoing PCI after cardiac arrest between April 2018 and March 2022 at 48 hospitals in the state of Michigan. Pre-PCI LOC was categorized as mentally alert, partially responsive, unresponsive, and unable to assess. In-hospital outcomes included mortality, bleeding, and acute kidney injury. RESULTS: Among 3021 patients who underwent PCI after cardiac arrest, 1394 (49%) were mentally alert, 132 (5%) were partially responsive, 698 (24%) were unresponsive, and 631 (22%) were unable to assess. The mentally alert cohort had lower mortality (4.59%) compared with the partially responsive (17.42%), unresponsive (50.14%), and unable to assess cohorts (38.03%; P<0.001). After adjusting for baseline differences, compared with mentally alert patients, the odds of mortality were markedly elevated in patients who were partially responsive (adjusted odds ratio, 4.63 [95% CI, 2.67-8.04]; P<0.001), unable to assess (adjusted odds ratio, 13.95 [95% CI, 9.97-19.51]; P<0.001), and unresponsive (adjusted odds ratio, 24.36 [17.34-34.23]; P<0.001). After adjustment, patients with impaired LOC also had higher risks of acute kidney injury and bleeding compared with mentally alert patients. CONCLUSIONS: Pre-PCI LOC is a strong predictor of in-hospital outcomes after PCI among cardiac arrest patients. A patient's pre-PCI LOC should be considered an important factor when weighing treatment options, designing clinical trials, and counseling patients and their families regarding prognosis after PCI.

Risk Factors for Increased Opioid Use During Postoperative Intensive Care.

IMPORTANCE: In the ICU, opioids treat pain and improve ventilator tolerance as part of an analgosedation approach. Identifying predictors of opioid consumption during the ICU course might highlight actionable items to reduce opioid consumption. OBJECTIVES: To identify risk factors for opioid use during a postoperative ICU course. DESIGN, SETTING, AND PARTICIPANTS: Patients enrolled in the Michigan Genomics Initiative single-center prospective observational cohort study completed baseline preoperative sociodemographic and mental/physical health questionnaires and provided blood samples for genetic analysis. Included patients were 18 years old and older, admitted to ICU postoperatively, and received opioids postoperatively. MAIN OUTCOMES AND MEASURES: The primary outcome was ICU mean daily oral morphine equivalent (OME) use. The association between OME and phenotypic risk factors and genetic variants previously associated with pain were analyzed through univariable and multivariable linear regression models. RESULTS: The cohort consisted of 1865 mixed-surgical patients with mean age of 56 years (sd, 15 yr). Preoperative opioid users were more likely to continue to receive opioids throughout their ICU stay than opioid-naive patients. OME (log10 scale) was most strongly associated with ICU mechanical ventilation (ß = 0.27; 95% CI, 0.15-0.38; p < 0.0001; effect size 1.85 for receiving > 24 hours of mechanical ventilation), preoperative opioid use (ß = 0.22; 95% CI, 0.16-0.29; p < 0.0001; effect size 1.67 for receiving preoperative opioids), major surgery (ß = 0.21; 95% CI, 0.12-0.30; p < 0.0001; effect size 1.62 compared with minor surgery), and current/former illicit drug use (ß = 0.12; 95% CI, 0.01-0.23; p = 0.04; effect size 1.30 for drug use). Younger age, centralized pain, and longer anesthetic duration were also significantly associated with OME but with smaller effect sizes. Selected genetic variants (FKBP5, COMT, and OPRM1) were not associated with OME use. CONCLUSIONS AND RELEVANCE: Mechanical ventilation and preoperative opioids were the strongest risk factors for postoperative ICU opioid consumption, whereas psychologic factors and genetic variants were not associated.

Associations Between Acute COVID-19 Symptom Profiles and Long COVID Prevalence: Population-Based Cross-Sectional Study.

Background: Growing evidence suggests that severe acute COVID-19 illness increases the risk of long COVID (also known as post-COVID-19 condition). However, few studies have examined associations between acute symptoms and long COVID onset. Objective: This study aimed to examine associations between acute COVID-19 symptom profiles and long COVID prevalence using a population-based sample. Methods: We used a dual mode (phone and web-based) population-based probability survey of adults with polymerase chain reaction-confirmed SARS-CoV-2 between June 2020 and May 2022 in the Michigan Disease Surveillance System to examine (1) how acute COVID-19 symptoms cluster together using latent class analysis, (2) sociodemographic and clinical predictors of symptom clusters using multinomial logistic regression accounting for classification uncertainties, and (3) associations between symptom clusters and long COVID prevalence using modified Poisson regression. Results: In our sample (n=4169), 15.9% (n=693) had long COVID, defined as new or worsening symptoms at least 90 days post SARS-CoV-2 infection. We identified 6 acute COVID-19 symptom clusters resulting from the latent class analysis, with flu-like symptoms (24.7%) and fever (23.6%) being the most prevalent in our sample, followed by nasal congestion (16.4%), multi-symptomatic (14.5%), predominance of fatigue (10.8%), and predominance of shortness of breath (10%) clusters. Long COVID prevalence was highest in the multi-symptomatic (39.7%) and predominance of shortness of breath (22.4%) clusters, followed by the flu-like symptom (15.8%), predominance of fatigue (14.5%), fever (6.4%), and nasal congestion (5.6%) clusters. After adjustment, females (vs males) had greater odds of membership in the multi-symptomatic, flu-like symptom, and predominance of fatigue clusters, while adults who were Hispanic or another race or ethnicity (vs non-Hispanic White) had greater odds of membership in the multi-symptomatic cluster. Compared with the nasal congestion cluster, the multi-symptomatic cluster had the highest prevalence of long COVID (adjusted prevalence ratio [aPR] 6.1, 95% CI 4.3-8.7), followed by the predominance of shortness of breath (aPR 3.7, 95% CI 2.5-5.5), flu-like symptom (aPR 2.8, 95% CI 1.9-4.0), and predominance of fatigue (aPR 2.2, 95% CI 1.5-3.3) clusters. Conclusions: Researchers and clinicians should consider acute COVID-19 symptom profiles when evaluating subsequent risk of long COVID, including potential mechanistic pathways in a research context, and proactively screen high-risk patients during the provision of clinical care.

Testing food web theory in a large lake: The role of body size in habitat coupling in Lake Michigan.

The landscape theory of food web architecture (LTFWA) describes relationships among body size, trophic position, mobility, and energy channels that serve to couple heterogenous habitats, which in turn promotes long-term system stability. However, empirical tests of the LTFWA are rare and support differs among terrestrial, freshwater, and marine systems. Further, it is unclear whether the theory applies in highly altered ecosystems dominated by introduced species such as the Laurentian Great Lakes. Here, we provide an empirical test of the LTFWA by relating body size, trophic position, and the coupling of different energy channels using stable isotope data from species throughout the Lake Michigan food web. We found that body size was positively related to trophic position, but for a given trophic position, organisms predominately supported by pelagic energy had smaller body sizes than organisms predominately supported by nearshore benthic energy. We also found a hump-shaped trophic relationship in the food web where there is a gradual increase in the coupling of pelagic and nearshore energy channels with larger body sizes as well as higher trophic positions. This highlights the important role of body size and connectivity among habitats in structuring food webs. However, important deviations from expectations are suggestive of how species introductions and other anthropogenic impacts can affect food web structure in large lakes. First, native top predators appear to be flexible couplers that may provide food web resilience, whereas introduced top predators may confer less stability when they specialize on a single energy pathway. Second, some smaller bodied prey fish and invertebrates, in addition to mobile predators, coupled energy from pelagic and nearshore energy channels, which suggests that some prey species may also be important integrators of energy pathways in the system. We conclude that patterns predicted by the LTFWA are present in the face of species introductions and other anthropogenic stressors to a degree, but time-series evaluations are needed to fully understand the mechanisms that promote stability.

Longitudinal DNA methylation in parent-infant pairs impacted by intergenerational social adversity: An RCT of the Michigan Model of Infant Mental Health Home Visiting.

INTRODUCTION: Early childhood development is a strong predictor of long-term health outcomes, potentially mediated via epigenetics (DNA methylation). The aim of the current study was to examine how childhood experiences, punitive parenting, and an intergenerational psychotherapeutic intervention may impact DNA methylation in young children and their mothers. METHODS: Mothers and their infants/toddlers between 0 and 24 months were recruited at baseline (n = 146, 73 pairs) to participate in a randomized control trial evaluating the effectiveness of The Michigan Model of Infant Mental Health Home Visiting (IMH-HV) parent-infant psychotherapy compared to treatment as usual. Baseline and 12-month post-enrollment data were collected in the family's home and included self-report questionnaires, biological saliva samples, home environment observation, video-taped parent-child interaction, and audio-recorded interviews. Saliva DNA methylation was measured at the genes, nuclear receptor subfamily 3 group C member 1 (NR3C1), solute carrier family 6 member 4 (SLC6A4), brain-derived neurotrophic factor (BDNF), and the genetic element, long interspersed nuclear element-1 (LINE1). RESULTS: For mothers, baseline methylation of BDNF, SLC6A4, NR3C1, or LINE1 was largely not associated with baseline measures of their childhood adversity, adverse life experiences, demographic characteristics related to structurally driven inequities, or to IMH-HV treatment effect. In infants, there were suggestions that methylation in SLC6A4 and LINE1 was associated with parenting attitudes. Infant BDNF methylation suggested an overall decrease in response to IMH-HV psychotherapy over 12 months. CONCLUSIONS: Overall, our findings suggest that the epigenome in infants and young children may be sensitive to both early life experiences and parent-infant psychotherapy.

Epidemiological study of overall survivability of individuals diagnosed with lung and bronchus cancer in Michigan between the years 1996 and 2017.

INTRODUCTION: Lung and bronchus cancer is a leading cause of death in the United States. Compared with the national average, Michigan has an increased mortality rate and low early screening and treatment rates. This study aimed to explore the epidemiological trends and assess overall survival (OS) of patients diagnosed with lung cancer in Michigan from 1996 to 2017. METHODS: Data was acquired from the Michigan Cancer Surveillance Program (MCSP). Log-rank test was used to test OS among the time periods, univariate and multivariate cox regression models were employed to determine factors that significantly affected OS. We hypothesized that the introduction of more inclusive lung cancer screening guidelines in 2013 would improve OS for patients diagnosed after its implementation and that individual characteristics and tumor characteristics would both affect OS. RESULTS: Notably, 153 742 individuals met inclusion criteria: 54.22% male and 45.78% female. Mean age at diagnosis was 69 years. No significant difference in OS was found among the three time periods (p = 0.99). Univariate analyses identified four individual characteristics associated with reduced OS: age at diagnosis, male sex, American Indian race, and living in rural or urban area. Reduced OS was associated with primary sites tumors at main bronchus, lung base, or within overlapping lobes, and SEER stage 7. CONCLUSIONS: This study highlights several factors that influence OS. Consideration of these factors may be helpful as a community outreach tool to help increase early detection and reduce overall mortality.

A Possible Nocebo Effect in Children Following the Flint Water Crisis: Evidence From Schoolteacher Perceptions and Neuropsychological Evaluations.

OBJECTIVE: Special education enrollment increased in Flint following the 2014-2015 Flint Water Crisis, but lead exposure is not plausibly responsible. Labeling Flint children as lead poisoned and/or brain damaged may have contributed to rising special education needs (ie, nocebo effect). To better document this possibility, we surveyed schoolteachers and reviewed neuropsychological assessments of children for indications of negative labeling. METHODS: A survey of Flint and Detroit (control) public schoolteachers using a modified Illness Perception Questionnaire was conducted 5 years post-crisis. We also examined neuropsychological assessments from a recently settled class lawsuit. RESULTS: Relative to Detroit (n = 24), Flint teachers (n = 11) believed that a higher proportion of their students had harmful lead exposure (91.8% Flint vs 46% Detroit; P = 0.00034), were lead poisoned (51.3% vs 24.3%; P = 0.018), or brain damaged (28.8% vs 12.9%; P = 0.1), even though blood lead of Flint children was always less than half of that of Detroit children. Neuropsychological assessments diagnosed lead poisoning and/or brain damage from water lead exposure in all tested children (n = 8), even though none had evidence of elevated blood lead and a majority had prior learning disability diagnoses. CONCLUSION: Teachers' responses and neuropsychological assessments suggest Flint children were harmed by a nocebo effect.

The association between mental status, personality traits, and discrepancy in social isolation and perceived loneliness among community dwellers.

BACKGROUND: Social isolation and loneliness can co-occur; however, they are distinct concepts. There is discrepancy as some people feel lonely in social isolation, while others do not. This study sought to enhance our understanding of this discrepancy between social isolation and loneliness by investigating its related factors, with a specific focus on mental status and personality traits. METHODS: This study adopted a cross-sectional study design and utilized data from the 2016 and 2018 waves of the University of Michigan Health and Retirement Study. The participants were community dwellers aged 50 years and older. The outcome measurement was defined as the discrepancy between social isolation, based on six criteria, and loneliness, assessed using the three-item version of the Revised UCLA Loneliness Scale. Multinomial logistic regression models were conducted to examine the factors associated with the discrepancy. RESULTS: Participants with fewer depressive symptoms and higher extraversion were associated with the only social isolation group and the only loneliness group rather than the group consisting of those who felt lonely with social isolation. In addition, lower neuroticism was associated with the only social isolation group. Participants with fewer depressive symptoms, lower neuroticism, and higher extraversion were more likely not to feel lonely even with social isolation, compared to feeling lonely even in the absence of isolation. CONCLUSIONS: Mental status and personality traits may be closely related to the discrepancy between social isolation and loneliness. This study suggests that incorporating social, mental, and psychological factors may be essential for interventions in social isolation and loneliness.

Caregiver-reported barriers to engagement in a paediatric fresh fruit and vegetable prescription programme.

Paediatric fruit and vegetable prescription programmes hold promise in improving food security and dietary patterns among youth. However, programme success is largely dependent upon caregiver and family engagement. The current study sought to gain a better understanding of environmental barriers to engagement in a paediatric fruit and vegetable prescription programme in one low-income, urban community (Flint, Michigan, USA). Following the implementation of a paediatric fruit and vegetable prescription programme, researchers conducted thirty-two semi-structured interviews with caregivers. Researchers explored caregivers' understanding of the fruit and vegetable prescription programme, barriers to programme engagement, and recommendations for improvement. Telephone interviews were transcribed for textual analysis. Researchers used thematic analysis to examine qualitative data, determine patterns across transcripts, and develop emerging themes. Researchers concluded interviews when data saturation was reached. The majority of participants were female (94%), African American (66%), and residents of Flint (72%). Five recurrent themes emerged: (1) nutrition security; (2) prescription distribution; (3) prescription redemption; (4) educational supports; and (5) programme modifications. Although caregivers indicated that the prescription programme addressed household food insecurity, environmental barriers to engagement were apparent. Caregivers provided suggestions, such as partnering with large grocery stores and developing digital prescriptions, to address programme engagement challenges. Fundamental to the success of fruit and vegetable prescription programmes is the understanding of barriers to engagement from the perspective of participants. This study explores challenges with one paediatric fruit and vegetable prescription programme and provides actionable solutions, from the viewpoint of caregivers, to address these challenges.

Error Rates in Race and Ethnicity Designation Across Large Pediatric Health Systems.

Importance: Without knowledge of the degree of misattribution in racial and ethnic designations in data, studies run the risk of missing existing inequities and disparities and identifying others that do not exist. Further, accuracy of racial and ethnic designations is important to clinical care improvement efforts and health outcomes. Objective: To determine the error rate of racial and ethnic attribution in the electronic medical records (EMRs) across the 3 largest pediatric health systems in Michigan. Design, Setting, and Participants: This cross-sectional study collected race and ethnicity data from parents in outpatient clinics, emergency departments, and inpatient units at the 3 largest pediatric health systems in Michigan. A total of 1594 parents or guardians participated at health system A, 1537 at health system B, and 1202 at health system C from September 1, 2023, to January 31, 2024. Parent or guardian report of race and ethnicity for a child was used as the gold standard for comparison with the designation in the EMR. Exposure: Race and ethnicity designations in the EMR. Options for race designation across the health systems ranged from 6 to 49; options for ethnicity, from 2 to 10. Main Outcomes and Measures: Matching occurred in 3 stages. First, the exact racial and ethnic designations made by parents for their child were compared with what was found in the EMR. Second, for any child whose parent selected more than 1 racial category or for whom more than 1 appeared in the EMR, the designation of a minoritized racial group was used for matching purposes. Third, starting with the product of stage 2, racial designations were combined or collapsed into 6 (health systems A and C) or 5 (health system B) designations. Results: A total of 4333 survey responses were included in the analysis. The greatest error rate across the health systems occurred with the exact match of parental report of racial designation with the EMR, which ranged from 41% to 78% across the health systems. Improvement in the matching rate for each health system occurred with consolidation of race options provided. Differences between the health systems narrowed at the final consolidation to varying from 79% to 88% matching. Ethnicity matching between the EMR and the parental report ranged from 65% to 95% across the health systems. Missing race or ethnicity data in the EMR was counted as a nonmatch. Rates of missing racial data varied across the health systems from 2% to 10%. The health system with the greatest number of options for race and ethnicity had the highest error rates. Conclusions and Relevance: Although there will always be some misattribution of race and ethnicity in the EMR, the results of this cross-sectional study suggest that significant error in these data may undermine strategies to improve care. It is unclear whether those in an organization who determine the number of potential categories are the same persons who use those data to investigate potential disparities and inequities.

Vectorcardiography Predicts Heart Failure in Patients Following ST Elevation Myocardial Infarction.

BACKGROUND: Modeling outcomes, such as onset of heart failure (HF) or mortality, in patients following ST elevation myocardial infarction (STEMI) is challenging but clinically very useful. The acute insult following a myocardial infarction and chronic degeneration seen in HF involve a similar process where a loss of cardiomyocytes and abnormal remodeling lead to pump failure. This process may alter the strength and direction of the heart's net depolarization signal. We hypothesize that changes over time in unique parameters extracted using vectorcardiography (VCG) have the potential to predict outcomes in patients post-STEMI and could eventually be used as a noninvasive and cost-effective surveillance tool for characterizing the severity and progression of HF to guide evidence-based therapies. METHODS: We identified 162 patients discharged from Michigan Medicine between 2016 and 2021 with a diagnosis of acute STEMI. For each patient, a single 12-lead ECG > 1 week pre-STEMI and > 1 week post-STEMI were collected. A set of unique VCG parameters were derived by analyzing features of the QRS complex. We used LASSO regression analysis incorporating clinical variables and VCG parameters to create a predictive model for HF, mortality, or the composite at 90, 180, and 365 days post-STEMI. RESULTS: The VCG model is most predictive for HF onset at 90 days with a robust AUC. Variables from the HF model mitigating or driving risk, at a p < 0.05, were primarily parameters that assess the area swept by the depolarization vector including the 3D integral and convex hull in select spatial octants and quadrants.

Tracking Chlamydia and Syphilis in the Detroit Metro Area by Molecular Analysis of Environmental Samples.

This paper describes one of the first studies applying wastewater surveillance to monitor Chlamydia and Syphilis and back-estimate infections in the community, based on bacterial shedding and wastewater surveillance data. Molecular biology laboratory methods were optimized, and a workflow was designed to implement wastewater surveillance tracking Chlamydia and Syphilis in the Detroit metro area (DMA), one of the most populous metropolitan areas in the U.S. Untreated composite wastewater samples were collected weekly from the three main interceptors that service DMA, which collect wastewater and discharge it to the Great Lakes Water Authority Water Resource Recovery Facility. Additionally, untreated wastewater was also collected from street manholes in three neighborhood sewersheds in Wayne, Macomb, and Oakland counties. Centrifugation, DNA extraction, and ddPCR methods were optimized and performed, targeting Chlamydia trachomatis and Treponema pallidum, the causative agents of Chlamydia and Syphilis, respectively. The limit of blank and limit of detection methods were determined experimentally for both targets. Both targets were detected and monitored in wastewater between December 25th, 2023, and April 22nd, 2024. The magnitudes of C. trachomatis and T. pallidum concentrations observed in neighborhood sewersheds were higher as compared to the concentrations observed in the interceptors. Infections of Chlamydia and Syphilis were back-estimated through an optimized formula based on shedding dynamics and wastewater surveillance data, which indicated potentially underreported conditions relative to publicly available clinical data.

Harm Reduction and Treatment Among People at High Risk of Overdose.

Importance: Rates of overdose deaths involving synthetic opioids remain high, increasingly involve stimulants combined with opioids, and are increasing rapidly in racially and ethnically minoritized communities, yet little is known about access to harm reduction and treatment services in these groups. Objective: To characterize access and barriers to harm reduction and treatment in a racially and ethnically diverse population of people who use drugs. Design, Setting, and Participants: A cross-sectional telephone survey of people recruited from 39 treatment, harm reduction, and social service organizations in Milwaukee County, Wisconsin; Flint and Detroit, Michigan; and statewide in New Jersey was conducted from January 30 to July 28, 2023. Adults who used cocaine, methamphetamine, or opioids in the past 30 days called a study hotline and completed an interview in English or Spanish. Exposures: Overdose experience, drug types used (opioids only, stimulants only, and polysubstance), and social risk factors (eg, financial instability and criminal legal involvement). Main Outcomes and Measures: Recent use of any harm reduction services, fentanyl test strips, naloxone possession, treatment, and self-reported barriers to services. Results: Of the total sample of 1240 adults, 486 (39.2%) were Black non-Hispanic, 183 (14.8%) were Hispanic, and 464 (37.4%) were White non-Hispanic. In the past 30 days, 826 individuals (66.6%) were polysubstance users, 135 (10.9%) used only opioids, and 279 (22.5%) used only stimulants. A total of 349 respondents (28.1%) experienced a prior-year overdose. Compared with those without a prior-year overdose, people with overdose were more likely to possess naloxone (80.7% vs 68.2%; P < .001), possess fentanyl test strips (36.8% vs 23.5%; P < .001), and use harm reduction services (63.4% vs 53.0%; P = .003), while differences in treatment use were nonsignificant (52.0% vs 46.6%; P = .24). Among stimulant-only users, 51.4% possessed naloxone compared with 77.3% of opioid-only users (P < .001) and 77.6% of polysubstance users (P < .001), with similar disparities in fentanyl test strip possession. Conclusions and Relevance: In this cross-sectional study of people who used drugs in the past 30 days, findings highlighted low use of harm reduction and treatment services among people who use stimulants. Additional communication regarding their importance may help increase the use of the services amidst a rapidly changing drug supply.

The impact of health disparities on peripheral vascular access outcomes in hospitalized patients: an observational study.

BACKGROUND: Placement of peripheral intravenous catheters (PIVC) is a routine procedure in hospital settings. The primary objective is to explore the relationship between healthcare inequities and PIVC outcomes. METHODS: This study was a multicenter, observational analysis of adults with PIVC access established in the emergency department requiring inpatient admission between January 1st, 2021, and January 31st, 2023, in metro Detroit, Michigan, United States. Epidemiological, demographic, therapeutic, clinical, and outcomes data were collected. Health disparities were defined by the National Institute on Minority Health and Health Disparities. The primary outcome was the proportion of PIVC dwell time to hospitalization length of stay, expressed as the proportion of dwell time (hours) to hospital stay (hours) x 100%. Multivariable linear regression and a machine learning model were used for variable selection. Subsequently, a multivariate linear regression analysis was utilized to adjust for confounders and best estimate the true effect of each variable. RESULTS: Between January 1st, 2021, and January 31st, 2023, our study analyzed 144,524 ED encounters, with an average patient age of 65.7 years and 53.4% female. Racial demographics showed 67.2% White, and 27.0% Black, with the remaining identifying as Asian, American Indian Alaska Native, or other races. The median proportion of PIVC dwell time to hospital length of stay was 0.88, with individuals identifying as Asian having the highest ratio (0.94) and Black individuals the lowest (0.82). Black females had a median dwell time to stay ratio of 0.76, significantly lower than White males at 0.93 (p < 0.001). After controlling for confounder variables, a multivariable linear regression demonstrated that Black males and White males had a 10.0% and 19.6% greater proportion of dwell to stay, respectively, compared to Black females (p < 0.001). CONCLUSIONS: Black females face the highest risk of compromised PIVC functionality, resulting in approximately one full day of less reliable PIVC access than White males. To comprehensively address and rectify these disparities, further research is imperative to improve understanding of the clinical impact of healthcare inequities on PIVC access. Moreover, it is essential to formulate effective strategies to mitigate these disparities and ensure equitable healthcare outcomes for all individuals.