Invasive Nontypeable Haemophilus influenzae Disease Outbreak at an Elementary School - Michigan, May 2023.

In May 2023, the Detroit Health Department was notified of four cases of invasive nontypeable Haemophilus influenzae (Hi) disease among students attending the same elementary school and grade, all with illness onsets within 7 days. Three patients were hospitalized, and one died. Most U.S. cases of invasive Hi disease are caused by nontypeable strains. No vaccines against nontypeable or non-type b Hi strains are currently available. Chemoprophylaxis is not typically recommended in response to nontypeable Hi cases; however, because of the high attack rate (four cases among 46 students; 8.7%), rifampin prophylaxis was recommended for household contacts of patients with confirmed cases and for all students and staff members in the school wing where confirmed cases occurred. Only 10.8% of students for whom chemoprophylaxis was recommended took it, highlighting gaps in understanding among caregivers and health care providers about persons for whom chemoprophylaxis was recommended. Public health authorities subsequently enhanced communication and education to the school community, improved coordination with health care partners, and established mass prophylaxis clinics at the school. This outbreak highlights the potential for nontypeable Hi to cause serious illness and outbreaks and the need for chemoprophylaxis guidance for nontypeable Hi disease. Achieving high chemoprophylaxis coverage requires education, communication, and coordination with community and health care partners.

In-Office Pediatric Emergency Dental Visits During and After the COVID Pandemic.

Purpose: To describe the demographics of patients younger than 18 years of age who sought dental emergency visits during the COVID-19 pandemic, the treatment provided, the patients' payment sources and the impact of the pandemic on oral health. Methods: A retrospective electronic chart review was conducted for dental emergency visits between 2020 and 2023 at the University of Detroit Mercy School of Dentistry, Detroit, Mich., USA. The data set included the patients' demographics, insurance type, reason(s) for the dental emergency visit and the provider's diagnosis and treatment provided. Results: Six- to 10-year-old children were the most frequently seen group for an emergency dental visit (40 percent). The majority had public insurance. Delta Dental was the most common payment source (47 percent). Diseases of pulp and periapical tissues accounted for the highest proportion of emergency visits (55 percent) and extractions were the most common treatment performed (54 percent). Conclusion: During the COVID-19 pandemic, children may not have received optimum dental care and lacked regular dental visits and preventive treatment, which probably led to an increase in the severity of dental conditions.

Treatment Adherence Rates and Long-Term Mortality in a Quaternary Multidisciplinary Heart Team: An Observational Cohort.

BACKGROUND: A multidisciplinary heart team (HT) approach to patients with complex coronary artery disease has a class IB recommendation, yet there are limited data on adherence to HT treatment recommendations and long-term clinical follow-up. The objective of this study was to assess adherence rates to HT recommendations and assess long-term mortality rates among patients with complex CAD. METHODS AND RESULTS: Six hundred eighty-four sequential HT cases for complex coronary artery disease from January 2015 to May 2017 were reviewed. After excluding cases with significant comorbid valve disease, baseline characteristics were compared based on HT treatment recommendations: optimal medical therapy, percutaneous coronary intervention, and coronary artery bypass grafting. Adherence rates were manually extracted, and 5-year mortality rates were obtained from the Michigan Death Registry. Seventy-two percent of 405 included patients were men (mean age 66±11 years), with high rates of medical comorbidities. Estimated surgical risk scores were lowest in the coronary artery bypass grafting group. Optimal medical therapy was recommended in 138 patients (34%), percutaneous coronary intervention in 95 (23%), and coronary artery bypass grafting in 172 (42%). Adherence to HT recommendations across groups was high (96%) and did not differ between treatment groups. Over 5 years of follow-up, there were 119 deaths, resulting in a cumulative mortality rate of 29%. CONCLUSIONS: In the largest HT cohort in the United States to date, high rates of adherence to HT recommendations were observed among high-risk patients with coronary artery disease. High rates of adherence to HT recommendations were observed irrespective of treatment group recommendation, suggesting that HT recommendations were individualized and acceptable to both patients and physicians alike.

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.

A century of wild bee sampling: historical data and neural network analysis reveal ecological traits associated with species loss.

We analysed the wild bee community sampled from 1921 to 2018 at a nature preserve in southern Michigan, USA, to study long-term community shifts in a protected area. During an intensive survey in 1972 and 1973, Francis C. Evans detected 135 bee species. In the most recent intensive surveys conducted in 2017 and 2018, we recorded 90 species. Only 58 species were recorded in both sampling periods, indicating a significant shift in the bee community. We found that the bee community diversity, species richness and evenness were all lower in recent samples. Additionally, 64% of the more common species exhibited a more than 30% decline in relative abundance. Neural network analysis of species traits revealed that extirpation from the reserve was most likely for oligolectic ground-nesting bees and kleptoparasitic bees, whereas polylectic cavity-nesting bees were more likely to persist. Having longer phenological ranges also increased the chance of persistence in polylectic species. Further analysis suggests a climate response as bees in the contemporary sampling period had a more southerly overall distribution compared to the historic community. Results exhibit the utility of both long-term data and machine learning in disentangling complex indicators of bee population trajectories.

Decomposition analysis to assess intervention strategies for reducing health-related exposure disparities in Michigan public drinking water systems.

OBJECTIVE: Contamination in U.S. public drinking water systems (PWS) is estimated to cause millions of illnesses and billions of dollars in medical expenditures annually. Few prior studies have explored intervention strategies, including environmental enforcement, to reduce estimated health-related exposure disparities (exposure disparity) in PWS, which are driven partially by socioeconomic status (SES), racism, and PWS characteristics. METHOD: This study used a longitudinal measurement method to estimate the annual health-related exposure level (health level) of each PWS in Michigan, based on data from the Enforcement and Compliance Online (ECHO) and U.S. Census Bureau databases. Using a decomposition model with four strategies, we analyzed how eliminating disparities in SES, proportion minority, environmental enforcement, and PWS characteristics across communities would affect adjusted exposure disparities. RESULTS: This study found that adjusted race- and poverty-based exposure disparities have existed since the 1980s but might have decreased in the last one or two decades. PWS characteristics strongly impacted the crude and adjusted exposure disparity. Environmental enforcement, although less effective in minority-concentrated communities, reduced the adjusted race-based exposure disparity by 10%-20% in the 1980s, 8% in the 1990s, and 0.012% in the 2010s. Equalizing the poverty rate distribution reduced the adjusted race-based exposure disparity by 0.72% in the 1980s and 6.8% in the 2010s. However, equalizing racial and ethnic composition distribution increased the adjusted poverty-based exposure disparity in the 2000s. CONCLUSION: These findings indicate that economically disadvantaged or minority-concentrated communities in Michigan disproportionately suffer from poorer PWS quality. Enhanced environmental enforcement, increased household income, PWS investment, and other actions are needed to address these exposure disparities effectively.

Factors Associated with COVID-19 Public Health Workforce Pipeline.

Public health entities nationwide conducted historic hiring to mitigate the COVID-19 pandemic. Post-pandemic recovery has seen recognition and investment in the need for public health infrastructure including workforce. This case study presents a descriptive analysis of COVID-19 case investigators and contact tracers who were part of the COVID-19 workforce in Michigan and associated factors in their ongoing interest in the field. The majority of these respondents have continued their public health career.

Changes in Registered Nurse Employment Plans and Workplace Assessments.

Importance: The US registered nurse (RN) workforce is in flux, with high rates of burnout, intention to leave, and vacancies. Rapid, repeated assessments of the nursing workforce can help hospital executives and policymakers enact effective recruitment and retention strategies. Objective: To identify changes in practicing RNs' employment plans and workplace assessments between the 2022 and 2023 surveys. Design, Setting, and Participants: This survey study compared data collected from the Michigan Nurses' Study at 2 time points: February 22 to March 1, 2022, and May 17 to June 1, 2023. Practicing RNs with an active, unrestricted license in Michigan and a valid individual email address were included. Main Outcome and Measures: The primary outcome was nurses' intention to leave their current position within 1 year. In the 2023 survey, nurses who planned to leave were queried on their next career step and the primary reason for their planned departure. Workplace assessments included questions about abusive or violent workplace events, emotional exhaustion, job satisfaction, the practice environment's delivery of high-quality care, and the clinical setting's safety rating. Regression analysis was used to examine workplace assessments and personal factors associated with planned departures. Results: This study obtained data on 9150 nurses (6495 females [71.0%]) and 7059 nurses (5134 females [72.7%]) responding to the 2022 (response rate, 8.3%) and 2023 (response rate, 7.4%) surveys, respectively. In the 2023 survey, 32.0% (2259) of nurses planned to leave their position, compared with 39.1% (3576) in the 2022 survey. Of these nurses, 957 (41.8%) planned to leave their current employer but remain in nursing, with workloads as the most frequently cited reason (29.4% [672]). Compared with the 2022 cohort, nurses in the 2023 sample reported less workplace abuse or violence (4591 [50.2%] vs 3063 [43.4%]; P < .001), fewer understaffed shifts (4407 [48.2%] vs 2898 [41.0%]; P < .001), and less frequent use of mandatory overtime (1709 [18.7%] vs 824 [11.7%]; P < .001). Factors associated with increased likelihood for planned departures included workplace abuse or violence (odds ratio [OR], 1.39; 95% CI, 1.05-1.82) and higher emotional exhaustion scores (OR, 3.05; 95% CI, 2.38-3.91). Favorable practice environments (OR, 0.37; 95% CI, 0.22-0.62) and excellent clinical setting safety ratings (OR, 0.28; 95% CI, 0.14-0.56) were associated with lower likelihood of planned departure. Conclusions and Relevance: Results of this study showed that nurses reported improved workplace conditions in the 2023 vs the 2022 survey; however, planned departure rates, abusive or violent events, and unsafe conditions remained high, and understaffing remained a primary concern for most nurses. Health system leaders and policymakers should prioritize initiatives that support nurse retention and reduce potential workforce instability.

Surgeon Skill and Perioperative Outcomes in Robot-Assisted Partial Nephrectomy.

Importance: Technical skill in complex surgical procedures may affect clinical outcomes, and there is growing interest in understanding the clinical implications of surgeon proficiency levels. Objectives: To determine whether surgeon scores representing technical skills of robot-assisted kidney surgery are associated with patient outcomes. Design, Setting, and Participants: This quality improvement study included 10 urological surgeons participating in a surgical collaborative in Michigan from July 2021 to September 2022. Each surgeon submitted up to 7 videos of themselves performing robot-assisted partial nephrectomy. Videos were segmented into 6 key steps, yielding 127 video clips for analysis. Each video clip was deidentified and distributed to at least 3 of the 24 blinded peer surgeons from the collaborative who also perform robot-assisted partial nephrectomy. Reviewers rated technical skill and provided written feedback. Statistical analysis was performed from May 2023 to January 2024. Main Outcomes and Measures: Reviewers scored each video clip using a validated instrument to assess technical skill for partial nephrectomy on a scale of 1 to 5 (higher scores indicating greater skill). For all submitting surgeons, outcomes from a clinical registry were assessed for length of stay (LOS) greater than 3 days, estimated blood loss (EBL) greater than 500 mL, warm ischemia time (WIT) greater than 30 minutes, positive surgical margin (PSM), 30-day emergency department (ED) visits, and 30-day readmission. Results: Among the 27 unique surgeons who participated in this study as reviewers and/or individuals performing the procedures, 3 (11%) were female, and the median age was 47 (IQR, 39-52) years. Risk-adjusted outcomes were associated with scores representing surgeon skills. The overall performance score ranged from 3.5 to 4.7 points with a mean (SD) of 4.1 (0.4) points. Greater skill was correlated with significantly lower rates of LOS greater than 3 days (-6.8% [95% CI, -8.3% to -5.2%]), EBL greater than 500 mL (-2.6% [95% CI, -3.0% to -2.1%]), PSM (-8.2% [95% CI, -9.2% to -7.2%]), ED visits (-3.9% [95% CI, -5.0% to -2.8%]), and readmissions (-5.7% [95% CI, -6.9% to -4.6%]) (P < .001 for all). Higher overall score was also associated with higher partial nephrectomy volume (ß coefficient, 11.4 [95% CI, 10.0-12.7]; P < .001). Conclusions and Relevance: In this quality improvement study on video-based evaluation of robot-assisted partial nephrectomy, higher technical skill was associated with lower rates of adverse clinical outcomes. These findings suggest that video-based evaluation plays a role in assessing surgical skill and can be used in quality improvement initiatives to improve patient care.

Mexican-origin women's individual and collective strategies to access and share health-promoting resources in the context of exclusionary immigration and immigrant policies.

BACKGROUND: A growing literature has documented the social, economic, and health impacts of exclusionary immigration and immigrant policies in the early 21st century for Latiné communities in the US, pointing to immigration and immigrant policies as forms of structural racism that affect individual, family, and community health and well-being. Furthermore, the past decade has seen an increase in bi-partisan exclusionary immigration and immigrant policies. Immigration enforcement has been a major topic during the 2024 Presidential election cycle, portending an augmentation of exclusionary policies towards immigrants. Within this context, scholars have called for research that highlights the ways in which Latiné communities navigate exclusionary immigration and immigrant policies, and implications for health. This study examines ways in which Mexican-origin women in a midwestern northern border community navigate restrictive immigration and immigrant policies to access health-promoting resources and care for their well-being. METHODS: We conducted a grounded theory analysis drawing on interviews with 48 Mexican-origin women in Detroit, Michigan, who identified as being in the first, 1.5, or second immigrant generation. Interviews were conducted in English or Spanish, depending on participants' preferences, and were conducted at community-based organizations or other locations convenient to participants in 2013-2014. RESULTS: Women reported encountering an interconnected web of institutional processes that used racializing markers to infer legal status and eligibility to access health-promoting resources. Our findings highlight women's use of both individual and collective action to navigate exclusionary policies and processes, working to: (1) maintain access to health-promoting resources; (2) limit labeling and stigmatization; and (3) mitigate adverse impacts of immigrant policing on health and well-being. The strategies women engaged were shaped by both the immigration processes and structures they confronted, and the resources to which they had access to within their social network. CONCLUSIONS: Our findings suggest a complex interplay of immigration-related policies and processes, social networks, and health-relevant resources. They highlight the importance of inclusive policies to promote health for immigrant communities. These findings illuminate women's agency in the context of structural violence facing immigrant women and are particularly salient in the face of anti-immigrant rhetoric and exclusionary immigration and immigrant policies.

Detecting Early-Stage Pressure Injury in Patients With Dark Skin Tones Using an Enhanced Physical Assessment Technique and Halogen Lighting.

PURPOSE: The purpose of this quality improvement project was to identify stage 1 pressure injuries (PIs) in patients with darker skin tones using an enhanced skin assessment (Skin Assessment for Dark Skin, SADS) and halogen lighting. PARTICIPANTS AND SETTING: This quality improvement project was conducted on 3 units at a large university teaching hospital in Southeast Michigan. The project was originally designed so that participating patients were identified by bedside nurses as having sufficient melanin to obscure blanching on the hand/forearm using regular lighting, but this goal was not met. Data analysis is based on patients who self-identified as African American or Black, Native Hawaiian or Pacific Islander, Asian, American Indian, and Native Alaskan. Bedside nurses participating in this project were also asked to complete a questionnaire describing their knowledge and experiences with this project and assessment of early-stage PI in patients with darker skin tones. APPROACH: The Iowa Model of Evidence-Based Practice was used to guide this quality improvement initiative. Following a trigger event, we reviewed pertinent literature and developed an enhanced technique for assessing patients with darker skin tones that involved use of halogen lighting (SADS) and documentation of findings. We selected units from our facility and taught nurses to apply the SADS approach. Data from the electronic medical record and a survey of participating nurses were used to compare findings before and after project implementation. Comparisons were based on descriptive data analysis. OUTCOMES: Following implementation of the enhanced physical assessment, the participating units experienced a 6% decrease in the total number of facility-acquired PIs during the implementation period. IMPLICATIONS FOR PRACTICE: The enhanced physical assessment, when paired with halogen lighting, enhanced identification of stage 1 PI in persons with dark skin. The assessment method was easy to teach, learn, and can be performed at the bedside as part of a shift assessment which routinely includes inspection of skin.

Establishing Silphids in the invertebrate DNA toolbox: a proof of concept.

Environmental DNA (eDNA) analyses are an increasingly popular tool for assessing biodiversity. eDNA sampling that uses invertebrates, or invertebrate DNA (iDNA), has become a more common method in mammal biodiversity studies where biodiversity is assessed via diet analysis of different coprophagous or hematophagous invertebrates. The carrion feeding family of beetles (Silphidae: Coleoptera, Latreille (1807)), have not yet been established as a viable iDNA source in primary scientific literature, yet could be useful indicators for tracking biodiversity in forested ecosystems. Silphids find carcasses of varying size for both food and reproduction, with some species having host preference for small mammals; therefore, iDNA Silphid studies could potentially target small mammal communities. To establish the first valid use of iDNA methods to detect Silphid diets, we conducted a study with the objective of testing the validity of iDNA methods applied to Silphids using both Sanger sequencing and high throughput Illumina sequencing. Beetles were collected using inexpensive pitfall traps in Alberta, Michigan in 2019 and 2022. We successfully sequenced diet DNA and environmental DNA from externally swabbed Silphid samples and diet DNA from gut dissections, confirming their potential as an iDNA tool in mammalian studies. Our results demonstrate the usefulness of Silphids for iDNA research where we detected species from the genera Anaxyrus, Blarina, Procyon, Condylura, Peromyscus, Canis, and Bos. Our results highlight the potential for Silphid iDNA to be used in future wildlife surveys.

Wastewater Surveillance to Confirm Differences in Influenza A Infection between Michigan, USA, and Ontario, Canada, September 2022-March 2023.

Wastewater surveillance is an effective way to track the prevalence of infectious agents within a community and, potentially, the spread of pathogens between jurisdictions. We conducted a retrospective wastewater surveillance study of the 2022-23 influenza season in 2 communities, Detroit, Michigan, USA, and Windsor-Essex, Ontario, Canada, that form North America's largest cross-border conurbation. We observed a positive relationship between influenza-related hospitalizations and the influenza A virus (IAV) wastewater signal in Windsor-Essex (ρ = 0.785; p<0.001) and an association between influenza-related hospitalizations in Michigan and the IAV wastewater signal for Detroit (ρ = 0.769; p<0.001). Time-lagged cross correlation and qualitative examination of wastewater signal in the monitored sewersheds showed the peak of the IAV season in Detroit was delayed behind Windsor-Essex by 3 weeks. Wastewater surveillance for IAV reflects regional differences in infection dynamics which may be influenced by many factors, including the timing of vaccine administration between jurisdictions.

Synergistic effects of social determinants of health and race-ethnicity on 30-day all-cause readmission disparities: a retrospective cohort study.

OBJECTIVE: The objective of this study is to assess the effects of social determinants of health (SDOH) and race-ethnicity on readmission and to investigate the potential for geospatial clustering of patients with a greater burden of SDOH that could lead to a higher risk of readmission. DESIGN: A retrospective study of inpatients at five hospitals within Henry Ford Health (HFH) in Detroit, Michigan from November 2015 to December 2018 was conducted. SETTING: This study used an adult inpatient registry created based on HFH electronic health record data as the data source. A subset of the data elements in the registry was collected for data analyses that included readmission index, race-ethnicity, six SDOH variables and demographics and clinical-related variables. PARTICIPANTS: The cohort was composed of 248 810 admission patient encounters with 156 353 unique adult patients between the study time period. Encounters were excluded if they did not qualify as an index admission for all payors based on the Centers for Medicare and Medicaid Service definition. MAIN OUTCOME MEASURE: The primary outcome was 30-day all-cause readmission. This binary index was identified based on HFH internal data supplemented by external validated readmission data from the Michigan Health Information Network. RESULTS: Race-ethnicity and all SDOH were significantly associated with readmission. The effect of depression on readmission was dependent on race-ethnicity, with Hispanic patients having the strongest effect in comparison to either African Americans or non-Hispanic whites. Spatial analysis identified ZIP codes in the City of Detroit, Michigan, as over-represented for individuals with multiple SDOH. CONCLUSIONS: There is a complex relationship between SDOH and race-ethnicity that must be taken into consideration when providing healthcare services. Insights from this study, which pinpoint the most vulnerable patients, could be leveraged to further improve existing models to predict risk of 30-day readmission for individuals in future work.

Contemporary Trends and Outcomes of Intravascular Lithotripsy in Percutaneous Coronary Intervention: Insights From BMC2.

BACKGROUND: With an aging population and an increase in the comorbidity burden of patients undergoing percutaneous coronary intervention (PCI), the management of coronary calcification for optimal PCI is critical in contemporary practice. OBJECTIVES: This study sought to examine the trends and outcomes of coronary intravascular lithotripsy (IVL), rotational/orbital atherectomy, or both among patients who underwent PCI in Michigan. METHODS: We included all PCIs between January 1, 2021, and June 30, 2022, performed at 48 Michigan hospitals. Outcomes included in-hospital major adverse cardiac events (MACEs) and procedural success. RESULTS: IVL was used in 1,090 patients (2.57%), atherectomy was used in 1,743 (4.10%) patients, and both were used in 240 patients (0.57% of all PCIs). IVL use increased from 0.04% of PCI cases in January 2021 to 4.28% of cases in June 2022, ultimately exceeding the rate of atherectomy use. The rate of MACEs (4.3% vs 5.4%; P = 0.23) and procedural success (89.4% vs 89.1%; P = 0.88) were similar among patients treated with IVL compared with atherectomy, respectively. Only 15.6% of patients treated with IVL in contemporary practice were similar to the population enrolled in the pivotal IVL trials. Among such patients (n = 169), the rate of MACEs (0.0%) and procedural success (94.7%) were similar to the outcomes reported in the pivotal IVL trials. CONCLUSIONS: Since its introduction in February 2021, coronary IVL use has steadily increased, exceeding atherectomy use in Michigan by February 2022. Contemporary use of IVL and atherectomy is generally associated with high rates of procedural success and low rates of complications.

Self-reported food liking and wanting: A factor analytic study of ratings across 49 consecutive days.

Reward responses to food are thought to play an important role in highly palatable food overconsumption. In animal models, food reward responses can be decoupled into unique "liking" (in the moment enjoyment) and "wanting" (motivation/craving) components. However, research on liking and wanting has been hampered by uncertainty regarding whether liking and wanting can be reliably separated in humans. We used factor analysis to test whether ratings of liking and wanting could be empirically separated in women assessed across 49 consecutive days. Female participants (N = 688; ages 15-30) from the Michigan State University Twin Registry reported liking and wanting of foods consumed that day, and wanting of foods not consumed that day, separately for sweets (e.g., cookies), fast food (e.g., French fries), carbohydrates (e.g., bread), and whole foods (fruit, plain chicken) each evening for 49 consecutive days. We examined both average levels and daily levels of liking/wanting across the 49-day period that captured individual differences in liking/wanting over time. Across both types of analyses, liking and wanting for foods that were eaten formed a single factor rather than separate, dissociable factors, while wanting of foods not eaten formed an independent factor. At the daily level, a liking/wanting factor emerged for each individual food category (e.g., liking/wanting sweets), whereas in average analyses, a single factor emerged that collapsed across all food types (i.e., liking/wanting of all foods). Results suggest individuals have difficulty distinguishing between liking and wanting of foods they have eaten on that day but may be able to more reliably separate wanting of foods they have not consumed.

Maternal Body Mass Index Associates with Prenatal Characteristics and Fecal Microbial Communities.

The maternal microbiome plays a vital role in shaping pregnancy outcomes, but there remains a substantial gap in understanding its precise relationships to maternal health, particularly in relation to potential effects of body mass index (BMI) on gut microbial diversity. The aim of this observational study was to assess maternal characteristics in association with pre-pregnancy BMI and to further assess microbial diversity in association with specific maternal characteristics. Eighty-four pregnant women were recruited during their third trimester of pregnancy from various prenatal clinics across the state of Michigan. The participants completed an enrollment questionnaire including self-reported pre-pregnancy BMI; stool samples were collected to assess the fecal microbial community composition. Pre-pregnancy obesity (BMI 30+) was associated (univariably) with antibiotic use before pregnancy, ever smoked, lower education level, and being unmarried. The gut microbiota alpha diversity was significantly different for pregnant women by pre-pregnancy BMI category (normal, overweight, obese). The beta diversity was unique for the gut microbiotas of pregnant women within each BMI category, by education level, and by marital status. Multivariable models revealed that pre-pregnancy BMI, maternal education, marital status, and maternal age were associated with the microbial diversity of the gut microbiota during pregnancy. These results give new insight into the relationship between a woman's microbiome during pregnancy and their prenatal health, along with an understanding of the relationships between socioeconomic factors and microbial diversity.