Using the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) to Predict Gambling Disorder Among U.S. College Students.

The Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) screening tool has not previously been used to evaluate risk for gambling disorder (GD). We aimed to assess the level at which each specific substance involvement score (SSIS), measured by ASSIST, most optimally predicted GD among U.S. college students. Data were analyzed for 141,769 students from the National College Health Assessment (fall 2019-spring 2021) utilizing multivariable logistic regression models. Sensitivities and specificities were utilized to find optimal cutoffs that best identified those with GD, overall and by biological sex and age group. Lower threshold of substance risk related to prescription opioids, cocaine, and hallucinogens (all with SSIS cutoffs of 4) predicts gambling disorder compared to sedatives (SSIS cutoff of 19). Younger students had lower thresholds of substance risk predicting GD than older students for heroin, but for all other substance classifications students 25 years and older had lower thresholds of SSIS predicting GD than students 18-24 years old. This study aids in the understanding that substance use behavior may put students at risk for other addictive behaviors such as GD. This study is the first to utilize the ASSIST tool to predict GD among U.S. college students, extending its application beyond substance use disorders. The identification of optimal cutoffs for each SSIS provides a novel approach to concurrently screen for GD and substance use disorders. This unique contribution could enhance early detection and intervention strategies for GD in the college student population.

The risk of opioid use disorder among women undergoing obstetric-related procedures: Results from the Cerner Real-World Database.

Introduction: While the relationship between various obstetric procedures and the onset of opioid use disorder (OUD) remains ambiguous, this study aims to elucidate the immediate and prolonged risks of OUD in women who have undergone procedures such as vaginal and cesarean deliveries, induced abortions, and treatments related to miscarriages and ectopic pregnancies. Methods: Retrospective data (n = 632,872) from the Cerner Real-World Data™ for pregnant females (age 15-44) between January 2010 and March 2020 were used. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were used to compare odds of OUD for each obstetric outcome to normal vaginal delivery using multivariable logistic regression. New opioid prescriptions and persistent opioid prescriptions were secondary outcomes for which modified Poisson regression models were used. Results: Compared to patients with a vaginal delivery, those with an ectopic pregnancy, a cesarean delivery, miscarriage, and an induced abortion had 84%, 46%, 119%, and 131% significantly higher odds of OUD (aOR [95% CI]: 1.84 [1.36, 2.48], 1.46 [1.29, 1.65], 2.19 [1.94, 2.47], and 2.31 [1.80, 2.96]) respectively. Among opioid naïve patients, all other obstetric procedure groups (besides miscarriage) had significantly higher risk of being prescribed new opioids than those with a vaginal delivery. Among those newly prescribed opioids, patients from all other obstetric procedure groups demonstrated a significantly higher risk of persistent opioid prescription compared to those who had a vaginal delivery. Conclusion: The association between specific obstetric outcomes, notably miscarriage and induced abortions, and opioid use patterns should inform safer and more effective pain management in a maternal population.

Investigating the association between asthma and opioid use disorder with interactions of anxiety and depression among a national sample of the US population.

INTRODUCTION: Previous studies have not examined the association between asthma and opioid use disorder (OUD) in a comprehensive national sample of the U.S. population. This study aims to investigate such an association. METHODS: This is a matched retrospective cohort study, with a follow-up period of two years, utilizing longitudinal electronic medical records of a comprehensive national healthcare database in the U.S.-Cerner-Real World DataTM. Patients selected for analysis were ≥12 years old with a hospital encounter between January 2000 and June 2020. Adjusted risk ratios (aRRs) of incident OUD for those with asthma compared to those without asthma were calculated using a modified Poisson regressions with robust standard errors via the Huber-White sandwich estimator, and results were stratified by comorbid mental illnesses. RESULTS: Individuals with asthma had a greater risk of OUD compared to those without asthma (aRR = 2.12; 95% CI 2.03-2.23). When stratified by anxiety and depression status, individuals with asthma and no anxiety or depression had a greater risk of incident OUD compared to individuals with asthma and either anxiety, depression, or both. Additionally, individuals with asthma medication had 1.29 (95% CI: 1.24, 1.35) greater overall risk for incident OUD compared to those without medication. Independent of comorbid mental illnesses, individuals with asthma medication had greater risk for incident OUD compared to those without medication among individuals without severe/obstructive asthma. CONCLUSIONS: Individuals with asthma face a higher OUD risk compared to those without asthma. Comorbid mental illnesses modulate this risk. Caution is advised in opioid prescribing for asthma patients.

Exploring the Association Between Opioid Use Disorder and Alzheimer's Disease and Dementia Among a National Sample of the U.S. Population.

BACKGROUND: Past research suggests associations between heavy alcohol use and later life dementia. However, little is known about whether opioid use disorder (OUD) and dementia share this association, especially among age groups younger than 65 years old. OBJECTIVE: Examine the association between OUD and Alzheimer's disease (AD) and dementia. METHODS: Electronic health records between 2000 and 2021 for patients age 12 or older were identified in the Cerner Real-World database™. Patients with a prior diagnosis of dementia were excluded. Patients were followed for 1-10 years (grouped by one, three, five, and ten-year follow-up periods) in a matched retrospective cohort study. Cox proportional hazards regressions were used to estimate adjusted hazard ratios (aHRs) of incident AD/dementia stratified by age and follow-up group. RESULTS: A sample of 627,810 individuals with OUD were compared to 646,340 without OUD. Individuals with OUD exhibited 88% higher risk for developing AD/dementia compared to those without OUD (aHR = 1.88, 95% CI 1.74, 2.03) within 1 year follow-up and 211% (aHR = 3.11, 95% CI 2.63, 3.69) within 10 years follow-up. When stratifying by age, younger patients (age 12-44) had a greater disparity in odds of AD/dementia between OUD and non-OUD groups compared with patients older than 65 years. CONCLUSIONS: Additional research is needed to understand why an association exists between OUD and AD/dementia, especially among younger populations. The results suggest that cognitive functioning screening programs for younger people diagnosed with OUD may be useful for targeting early identification and intervention for AD/dementia in particularly high risk and marginalized populations.

Measuring provider well-being: initial validation of a brief engagement survey.

BACKGROUND: Measurement is one of the critical ingredients to addressing the well-being of health care professionals. However, administering an organization-wide well-being survey can be challenging due to constraints like survey fatigue, financial limitations, and other system priorities. One way to address these issues is to embed well-being items into already existing assessment tools that are administered on a regular basis, such as an employee engagement survey. The objective of this study was to assess the utility of a brief engagement survey, that included a small subset of well-being items, among health care providers working in an academic medical center. METHODS: In this cross-sectional study, health care providers, including physicians and advanced clinical practitioners, employed at an academic medical center completed a brief, digital engagement survey consisting of 11 quantitative items and 1 qualitative item administered by Dialogue™. The emphasis of this study was on the quantitative responses. Item responses were compared by sex and degree, domains were identified via exploratory factor analysis (EFA), and internal consistency of item responses was assessed via McDonald's omega. Sample burnout was compared against national burnout. RESULTS: Of the 791 respondents, 158 (20.0%) were Advanced Practice Clinicians (APCs), and 633 (80.0%) were Medical Doctors (MDs). The engagement survey, with 11 items, had a high internal consistency with an omega ranging from 0.80-0.93 and was shown, via EFA, to have three domains including communication, well-being, and engagement. Significant differences for some of the 11 items, by sex and degree, in the odds of their agreement responses were found. In this study, 31.5% reported experiencing burnout, which was significantly lower than the national average of 38.2%. CONCLUSION: Our findings indicate initial reliability, validity, and utility of a brief, digital engagement survey among health care professionals. This may be particularly useful for medical groups or health care organizations who are unable to administer their own discrete well-being survey to employees.

Epidemiological trends in opioid-only and opioid/polysubstance-related death rates among American Indian/Alaska Native populations from 1999 to 2019: a retrospective longitudinal ecological study.

OBJECTIVES: The rate of drug overdose deaths in the USA has more than tripled since the turn of the century, and rates are disproportionately high among the American Indian/Alaska Native (AI/AN) population. Little is known about the overall historical trends in AI/AN opioid-only and opioid/polysubstance-related mortality. This study will address this gap. DESIGN: This is a retrospective longitudinal ecological study. SETTING: US death records from 1999 to 2019 using the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research. PARTICIPANTS: US non-Hispanic AI/AN people age 12 years and older. MEASURES: The primary outcomes, identified via the 10th revision of the International Statistical Classification of Diseases and Related Health Problems codes, included overdose deaths due to (1) opioids only, opioids in combination with any other substance, all-opioid related overdoses; (2) combinations of opioids and alcohol, opioids and methamphetamine, opioids and cocaine, opioids and benzodiazepines; and (3) specific types of opioids. RESULTS: From 1999 to 2019, opioid-only mortality rates increased from 2.8 to 15.8 per 100 000 (p<0.001) for AI/AN women and 4.6 to 25.6 per 100 000 (p<0.001) for AI/AN men. All opioid-related mortality rates increased significantly (p<0.001) from 5.2 to 33.9 per 100 000 AI/AN persons, 3.9 to 26.1 for women and 6.5 to 42.1 for men. AI/AN also exhibited significant increases in mortality rates due to opioids and alcohol, opioids and benzodiazepines, opioids and methamphetamine, and AI/AN men experienced substantial increases in mortality due to opioids and cocaine. Mortality rates by individual opioid types increased significantly over time for heroin, natural and semi-synthetic (prescription), and synthetic opioids (fentanyl/fentanyl analogues) other than methadone. CONCLUSIONS: These findings highlight magnification over time in opioid-related deaths and may point to broader systemic factors that may disproportionately affect members of AI/AN communities and drive inequities.

The associations between COVID-19 diagnosis, type 1 diabetes, and the risk of diabetic ketoacidosis: A nationwide cohort from the US using the Cerner Real-World Data.

OBJECTIVE: To assess the risk of new-onset type 1 diabetes mellitus (T1D) diagnosis following COVID-19 diagnosis and the impact of COVID-19 diagnosis on the risk of diabetic ketoacidosis (DKA) in patients with prior T1D diagnosis. RESEARCH DESIGN AND METHODS: Retrospective data consisting of 27,292,879 patients from the Cerner Real-World Data were used. Odds ratios, overall and stratified by demographic predictors, were calculated to assess associations between COVID-19 and T1D. Odds ratios from multivariable logistic regression models, adjusted for demographic and clinical predictors, were calculated to assess adjusted associations between COVID-19 and DKA. Multiple imputation with multivariate imputation by chained equations (MICE) was used to account for missing data. RESULTS: The odds of developing new-onset T1D significantly increased in patients with COVID-19 diagnosis (OR: 1.42, 95% CI: 1.38, 1.46) compared to those without COVID-19. Risk varied by demographic groups, with the largest risk among pediatric patients ages 0-1 years (OR: 6.84, 95% CI: 2.75, 17.02) American Indian/Alaskan Natives (OR: 2.30, 95% CI: 1.86, 2.82), Asian or Pacific Islanders (OR: 2.01, 95% CI: 1.61, 2.53), older adult patients ages 51-65 years (OR: 1.77, 95% CI: 1.66, 1.88), those living in the Northeast (OR: 1.71, 95% CI: 1.61, 1.81), those living in the West (OR: 1.65, 95% CI: 1.56, 1.74), and Black patients (OR: 1.59, 95% CI: 1.47, 1.71). Among patients with diagnosed T1D at baseline (n = 55,359), 26.7% (n = 14,759) were diagnosed with COVID-19 over the study period. The odds of developing DKA for those with COVID-19 were significantly higher (OR 2.26, 95% CI: 2.04, 2.50) than those without COVID-19, and the largest risk was among patients with higher Elixhauser Comorbidity Index. CONCLUSIONS: COVID-19 diagnosis is associated with significantly increased risk of new-onset T1D, and American Indian/Alaskan Native, Asian/Pacific Islander, and Black populations are disproportionately at risk. In patients with pre-existing T1D, the risk of developing DKA is significantly increased following COVID-19 diagnosis.

Implementing an Anonymous Closed-Loop Feedback Process and Associations With ACGME Annual Survey Scores in a Family Medicine Residency.

BACKGROUND AND OBJECTIVES: The annual Accreditation Council for Graduate Medical Education (ACGME) survey evaluates numerous variables, including resident satisfaction with the training program. We postulated that an anonymous system allowing residents to regularly express and discuss concerns would result in higher ACGME survey scores in areas pertaining to program satisfaction. METHODS: One family medicine residency program implemented a process of quarterly anonymous closed-loop resident feedback and discussion in academic year 2012-2013. Data were tracked longitudinally from the 2011-2019 annual ACGME resident surveys, using academic year 2011-2012 as a baseline control. RESULTS: For the survey item "Satisfied that evaluations of program are confidential," years 2013-2014, 2014-2015, and 2018-2019 showed a significantly higher change from baseline. For "Satisfied that program uses evaluations to improve," year 2018-2019 had a significantly higher percentage change from baseline. For "Satisfied with process to deal with problems and concerns," year 2018-2019 showed significantly higher change. For "Residents can raise concerns without fear," years 2013-2014 and 2018-2019 saw significantly higher changes. CONCLUSIONS: These results suggest that this feedback process is perceived by residents as both confidential and promoting a culture of safety in providing feedback. Smaller changes were seen in residents' belief that the program uses evaluations to improve, and in satisfaction with the process to deal with problems and concerns.

Restorative reproductive medicine for infertility in two family medicine clinics in New England, an observational study.

BACKGROUND: Restorative reproductive medicine (RRM) seeks to identify and correct underlying causes and factors contributing to infertility and reproductive dysfunction. Many components of RRM are highly suitable for primary care practice. We studied the outcomes amongst couples who received restorative reproductive medicine treatment for infertility in a primary care setting. METHODS: Two family physicians in Massachusetts trained in a systematic approach to RRM (natural procreative technology, or NaProTechnology) treated couples with infertility. We retrospectively reviewed the characteristics, diagnoses, treatments, and outcomes for all couples treated during the years 1989 to 2014. We compared pregnancy and live birth by clinical characteristics using Kaplan-Meier analysis. We employed the Fleming-Harrington weighted Renyi test or the logrank test to compare the cumulative proportion with pregnancy or with live birth. RESULTS: Among 370 couples beginning treatment for infertility, the mean age was 34.8 years, the mean prior time trying to conceive was 2.7 years, and 27% had a prior live birth. The mean number of diagnoses per couple was 4.9. Treatment components included fertility tracking with the Creighton Model FertilityCare System (80%); medications to enhance cervical mucus production (81%), to stimulate ovulation (62%), or to support the luteal phase (75%); and referral to female laparoscopy by a surgeon specializing in endometriosis (46%). The cumulative live birth rate at 2 years was 29% overall; this was significantly higher for women under age 35 (34%), and for women with body mass index < 25 (40%). There were 2 sets of twins and no higher-order multiple gestations. Of the 63 births with data available, 58 (92%) occurred at term. CONCLUSIONS: Family physicians can provide a RRM approach for infertility to identify underlying causes and promote healthy term live births. Younger women and women with body mass index < 25 are more likely to have a live birth.

The association between opioids, environmental, demographic, and socioeconomic indicators and COVID-19 mortality rates in the United States: an ecological study at the county level.

BACKGROUND: The spread of the COVID-19 pandemic throughout the world presents an unprecedented challenge to public health inequities. People who use opioids may be a vulnerable group disproportionately impacted by the current pandemic, however, the limited prior research in this area makes it unclear whether COVID-19 and opioid use outcomes may be related, and whether other environmental and socioeconomic factors might play a role in explaining COVID-19 mortality. The objective of this study is to evaluate the association between opioid-related mortality and COVID-19 mortality across U.S. counties. METHODS: Data from 3142 counties across the U.S. were used to model the cumulative count of deaths due to COVID-19 up to June 2, 2020. A multivariable negative-binomial regression model was employed to evaluate the adjusted COVID-19 mortality rate ratios (aMRR). RESULTS: After controlling for covariates, counties with higher rates of opioid-related mortality per 100,000 persons were found to be significantly associated with higher rates of COVID-19 mortality (aMRR: 1.0134; 95% CI [1.0054, 1.0214]; P = 0.001). Counties with higher average daily Particulate Matter (PM2.5) exposure also saw significantly higher rates of COVID-19 mortality. Analyses revealed rural counties, counties with higher percentages of non-Hispanic whites, and counties with increased average maximum temperatures are significantly associated with lower mortality rates from COVID-19. CONCLUSIONS: This study indicates need for public health efforts in hard hit COVID-19 regions to also focus prevention efforts on overdose risk among people who use opioids. Future studies using individual-level data are needed to allow for detailed inferences.

Understanding the Prevalence of Prediabetes and Diabetes in Patients With Cancer in Clinical Practice: A Real-World Cohort Study.

BACKGROUND: This study aimed to understand the prevalence of prediabetes (preDM) and diabetes mellitus (DM) in patients with cancer overall and by tumor site, cancer treatment, and time point in the cancer continuum. METHODS: This cohort study was conducted at Huntsman Cancer Institute at the University of Utah. Patients with a first primary invasive cancer enrolled in the Total Cancer Care protocol between July 2016 and July 2018 were eligible. Prevalence of preDM and DM was based on ICD code, laboratory tests for hemoglobin A1c, fasting plasma glucose, nonfasting blood glucose, or insulin prescription. RESULTS: The final cohort comprised 3,512 patients with cancer, with a mean age of 57.8 years at cancer diagnosis. Of all patients, 49.1% (n=1,724) were female. At cancer diagnosis, the prevalence of preDM and DM was 6.0% (95% CI, 5.3%-6.8%) and 12.2% (95% CI, 11.2%-13.3%), respectively. One year after diagnosis the prevalence was 16.6% (95% CI, 15.4%-17.9%) and 25.0% (95% CI, 23.6%-26.4%), respectively. At the end of the observation period, the prevalence of preDM and DM was 21.2% (95% CI, 19.9%-22.6%) and 32.6% (95% CI, 31.1%-34.2%), respectively. Patients with myeloma (39.2%; 95% CI, 32.6%-46.2%) had the highest prevalence of preDM, and those with pancreatic cancer had the highest prevalence of DM (65.1%; 95% CI, 57.0%-72.3%). Patients who underwent chemotherapy, radiotherapy, or immunotherapy had a higher prevalence of preDM and DM compared with those who did not undergo these therapies. CONCLUSIONS: Every second patient with cancer experiences preDM or DM. It is essential to foster interprofessional collaboration and to develop evidence-based practice guidelines. A better understanding of the impact of cancer treatment on the development of preDM and DM remains critical.

Opioid use disorder and health service utilization among COVID-19 patients in the US: A nationwide cohort from the Cerner Real-World Data.

BACKGROUND: Both opioid use and COVID-19 affect respiratory and pulmonary health, potentially putting individuals with opioid use disorders (OUD) at risk for complications from COVID-19. We examine the relationship between OUD and subsequent hospitalization, length of stay, risk for invasive ventilator dependence (IVD), and COVID-19 mortality. METHODS: Multivariable logistic and exponential regression models using electronic health records data from the Cerner COVID-19 De-Identified Data Cohort from January through June 2020. FINDINGS: Out of 52,312 patients with COVID-19, 1.9% (n=1,013) had an OUD. COVID-19 patients with an OUD had higher odds of hospitalization (aOR=3.44, 95% CI=2.81-4.21), maximum length of stay ( e ß ^ =1.16, 95% CI=1.09-1.22), and odds of IVD (aOR=1.26, 95% CI=1.06-1.49) than patients without an OUD, but did not differ with respect to COVID-19 mortality. However, OUD patients under age 45 exhibited greater COVID-19 mortality (aOR=3.23, 95% CI=1.59-6.56) compared to patients under age 45 without an OUD. OUD patients using opioid agonist treatment (OAT) exhibited higher odds of hospitalization (aOR=5.14, 95% CI=2.75-10.60) and higher maximum length of stay ( e ß ^ =1.22, 95% CI=1.01-1.48) than patients without OUDs; however, risk for IVD and COVID-19 mortality did not differ. OUD patients using naltrexone had higher odds of hospitalization (aOR=32.19, 95% CI=4.29-4,119.83), higher maximum length of stay ( e ß ^ =1.59, 95% CI=1.06-2.38), and higher odds of IVD (aOR=3.15, 95% CI=1.04-9.51) than patients without OUDs, but mortality did not differ. OUD patients who did not use treatment medication had higher odds of hospitalization (aOR=4.05, 95% CI=3.32-4.98), higher maximum length of stay ( e ß ^ =1.14, 95% CI=1.08-1.21), and higher odds of IVD (aOR=1.25, 95% CI=1.04-1.50) and COVID-19 mortality (aOR=1.31, 95% CI=1.07-1.61) than patients without OUDs. INTERPRETATION: This study suggests people with OUD and COVID-19 often require higher levels of care, and OUD patients who are younger or not using medication treatment for OUDs are particularly vulnerable to death due to COVID-19.

The risk of clinical complications and death among pregnant women with COVID-19 in the Cerner COVID-19 cohort: a retrospective analysis.

BACKGROUND: Pregnant women are potentially a high-risk population during infectious disease outbreaks such as COVID-19, because of physiologic immune suppression in pregnancy. However, data on the morbidity and mortality of COVID-19 among pregnant women, compared to nonpregnant women, are sparse and inconclusive. We sought to assess the impact of pregnancy on COVID-19 associated morbidity and mortality, with particular attention to the impact of pre-existing comorbidity. METHODS: We used retrospective data from January through June 2020 on female patients aged 18-44 years old utilizing the Cerner COVID-19 de-identified cohort. We used mixed-effects logistic and exponential regression models to evaluate the risk of hospitalization, maximum hospital length of stay (LOS), moderate ventilation, invasive ventilation, and death for pregnant women while adjusting for age, race/ethnicity, insurance, Elixhauser AHRQ weighted Comorbidity Index, diabetes history, medication, and accounting for clustering of results in similar zip-code regions. RESULTS: Out of 22,493 female patients with associated COVID-19, 7.2% (n = 1609) were pregnant. Crude results indicate that pregnant women, compared to non-pregnant women, had higher rates of hospitalization (60.5% vs. 17.0%, P < 0.001), higher mean maximum LOS (0.15 day vs. 0.08 day, P < 0.001) among those who stayed < 1 day, lower mean maximum LOS (2.55 days vs. 3.32 days, P < 0.001) among those who stayed ≥1 day, and higher moderate ventilation use (1.7% vs. 0.7%, P < 0.001) but showed no significant differences in rates of invasive ventilation or death. After adjusting for potentially confounding variables, pregnant women, compared to non-pregnant women, saw higher odds in hospitalization (aOR: 12.26; 95% CI (10.69, 14.06)), moderate ventilation (aOR: 2.35; 95% CI (1.48, 3.74)), higher maximum LOS among those who stayed < 1 day, and lower maximum LOS among those who stayed ≥1 day. No significant associations were found with invasive ventilation or death. For moderate ventilation, differences were seen among age and race/ethnicity groups. CONCLUSIONS: Among women with COVID-19 disease, pregnancy confers substantial additional risk of morbidity, but no difference in mortality. Knowing these variabilities in the risk is essential to inform decision-makers and guide clinical recommendations for the management of COVID-19 in pregnant women.

Racial disparities in COVID-19 outcomes exist despite comparable Elixhauser comorbidity indices between Blacks, Hispanics, Native Americans, and Whites.

Factors contributing to racial inequities in outcomes from coronavirus disease 2019 (COVID-19) remain poorly understood. We compared by race the risk of 4 COVID-19 health outcomes--maximum length of hospital stay (LOS), invasive ventilation, hospitalization exceeding 24 h, and death--stratified by Elixhauser comorbidity index (ECI) ranking. Outcomes and ECI scores were constructed from retrospective data obtained from the Cerner COVID-19 De-Identified Data cohort. We hypothesized that racial disparities in COVID-19 outcomes would exist despite comparable ECI scores among non-Hispanic (NH) Blacks, Hispanics, American Indians/Alaska Natives (AI/ANs), and NH Whites. Compared with NH Whites, NH Blacks had longer hospital LOS, higher rates of ventilator dependence, and a higher mortality rate; AI/ANs, higher odds of hospitalization for ECI = 0 but lower for ECI ≥ 5, longer LOS for ECI = 0, a higher risk of death across all ECI categories except ECI ≥ 5, and higher odds of ventilator dependence; Hispanics, a lower risk of death across all ECI categories except ECI = 0, lower odds of hospitalization, shorter LOS for ECI ≥ 5, and higher odds of ventilator dependence for ECI = 0 but lower for ECI = 1-4. Our findings contest arguments that higher comorbidity levels explain elevated COVID-19 death rates among NH Blacks and AI/ANs compared with Hispanics and NH Whites.

Prognostic Values of Serum Ferritin and D-Dimer Trajectory in Patients with COVID-19.

Cytokine storm syndrome in patients with COVID-19 is mediated by pro-inflammatory cytokines resulting in acute lung injury and multiorgan failure. Elevation in serum ferritin and D-dimer is observed in COVID-19 patients. To determine prognostic values of optimal serum cutoff with trajectory plots for both serum ferritin and D-dimer in COVID-19 patients with invasive ventilator dependence and in-hospital mortality. We used retrospective longitudinal data from the Cerner COVID-19 de-identified cohort. COVID-19 infected patients with valid repeated values of serum ferritin and D-dimer during hospitalization were used in mixed-effects logistic-regression models. Among 52,411 patients, 28.5% (14,958) had valid serum ferritin and 28.6% (15,005) D-dimer laboratory results. Optimal cutoffs of ferritin (714 ng/mL) and D-dimer (2.1 mg/L) revealed AUCs ≥ 0.99 for in-hospital mortality. Optimal cutoffs for ferritin (502 ng/mL) and D-dimer (2.0 mg/L) revealed AUCs ≥ 0.99 for invasive ventilator dependence. Optimal cutoffs for in-house mortality, among females, were lower in serum ferritin (433 ng/mL) and D-dimer (1.9 mg/L) compared to males (740 ng/mL and 2.5 mg/L, respectively). Optimal cutoffs for invasive ventilator dependence, among females, were lower in ferritin (270 ng/mL) and D-dimer (1.3 mg/L) compared to males (860 ng/mL and 2.3 mg/L, respectively). Optimal prognostic cutoffs for serum ferritin and D-dimer require considering the entire trajectory of laboratory values during the disease course. Females have an overall lower optimal cutoff for both serum ferritin and D-dimer. The presented research allows health professionals to predict clinical outcomes and appropriate allocation of resources during the COVID-19 pandemic, especially early recognition of COVID-19 patients needing higher levels of care.

Diabetes, Body Fatness, and Insulin Prescription Among Adolescents and Young Adults with Cancer.

Purpose: Rates of obesity and obesity-related health consequences, including type 2 diabetes (T2D) and cancer, continue to rise. While cancer patients are at an increased risk of developing T2D, the prevalence of T2D and insulin prescription among young patients with cancer remains unknown. Methods: Using the Total Cancer Care Study cohort at Huntsman Cancer Institute (Salt Lake City, UT), we identified individuals age 18-39 years at cancer diagnosis between 2009 and 2019. Multivariable logistic regression was used to investigate associations between body mass index (BMI) with insulin prescription within 1 year of cancer diagnosis. Results: In total, 344 adolescents and young adults (AYAs) were diagnosed with primary invasive cancer. Within this cohort, 19 patients (5.5%) were ever diagnosed with T2D, 48 AYAs ever received an insulin prescription (14.0%), and 197 were overweight or obese (BMI: 25+ kg/m2) at cancer diagnosis. Each kg/m2 unit increase in BMI was associated with 6% increased odds of first insulin prescription within 1 year of cancer diagnosis among AYAs, even after adjustment for age, sex, smoking history, marital status, glucocorticoid prescription, and cancer treatments (odds ratio = 1.06, 95% confidence interval 1.02-1.11; p = 0.005). Conclusion: One in every 18 AYAs with cancer ever had T2D, 1 in 7 AYA patients with cancer ever received an insulin prescription, and higher BMI was associated with increased risk of insulin prescription within a year of cancer diagnosis among AYAs. Understanding the incidence of T2D and insulin prescription/use is critical for short-term and long-term clinical management of AYAs with cancer.

What Protective Health Measures Are Americans Taking in Response to COVID-19? Results from the COVID Impact Survey.

With the emergence of the novel SARS-CoV-2 and the disease it causes; COVID-19, compliance with/adherence to protective measures is needed. Information is needed on which measures are, or are not, being undertaken. Data collected from the COVID Impact Survey, conducted by the non-partisan and objective research organization NORC at the University of Chicago on April, May, and June of 2020, were analyzed through weighted Quasi-Poisson regression modeling to determine the association of demographics, socioeconomics, and health conditions with protective health measures taken at the individual level in response to COVID-19. The three surveys included data from 18 regional areas including 10 states (CA, CO, FL, LA, MN, MO, MT, NY, OR, and TX) and 8 Metropolitan Statistical Areas (Atlanta, GA; Baltimore, MD; Birmingham, AL; Chicago, IL; Cleveland and Columbus, OH; Phoenix, AZ; and Pittsburgh, PA). Individuals with higher incomes, insurance, higher education levels, large household size, age 60+, females, minorities, those who have asthma, have hypertension, overweight or obese, and those who suffer from mental health issues during the pandemic were significantly more likely to report taking precautionary protective measures relative to their counterparts. Protective measures for the three subgroups with a known relationship to COVID-19 (positive for COVID-19, knowing an individual with COVID-19, and knowing someone who had died from COVID-19) were strongly associated with the protective health measures of washing hands, avoiding public places, and canceling social engagements. This study provides first baseline data on the response to the national COVID-19 pandemic at the individual level in the US. The found heterogeneity in the response to this pandemic by different variables can inform future research and interventions to reduce exposure to the novel SARS-CoV-2 virus.

A Longitudinal Curriculum for Quality Improvement, Leadership Experience, and Scholarship in a Family Medicine Residency Program.

BACKGROUND AND OBJECTIVES: The Accreditation Council for Graduate Medical Education (ACGME) requires all residents be trained in quality improvement (QI), and that they produce scholarly projects. While not an ACGME requirement, residents need leadership skills to apply QI knowledge. We developed the Skills-based Experiential Embedded Quality Improvement (SEE-QI) curriculum to integrate training in QI, leadership, and scholarship. METHODS: The University of Utah Family Medicine Residency Program began using the novel curriculum in 2012. The aim of the curriculum is to tie didactic teaching in quality improvement, leadership, and scholarship with skills application on multidisciplinary QI teams. Coaching for resident leaders is provided by faculty. Third-year resident leaders prepare academic presentations. Results of the ACGME Practice-Based Learning and Improvement (PBLI) 3 scores and number of scholarship presentations are described as a measure of efficacy. RESULTS: Two cohorts of residents completed the curriculum and all competency assessments. The average initial and final competency scores for competency PBLI-3 showed improvement and the average final competency for each cohort was above the proficient level. The residency requirements for QI scholarship did not change with introduction of the curriculum, but the amount of optional curricular QI scholarship and independent QI scholarship increased. CONCLUSIONS: The SEE-QI curriculum resulted in a high level of resident QI competency, opportunity for leadership training, and an increase in scholarship. We studied the results of this curriculum at one institution. Efforts to tie QI, leadership, and scholarship training should be evaluated at other programs.

Use of intravenous sedation in periodontal practice: a national survey.

BACKGROUND: In the early 1990s, much of the periodontal profession perceived an upcoming shift in services performed by periodontists as many patients began to expect sedation for periodontal surgery. As a result, in 1993 the American Academy of Periodontology began encouraging postgraduate periodontal programs to train residents in the use of conscious sedation. The purpose of this study is to investigate trends in the training of intravenous (i.v.) sedation in residency and its use in periodontal practice. METHODS: An 18-question survey was mailed to a sample of 1596 active periodontists throughout the United States and Canada. Thirty-seven percent (596) of the surveys were returned. Twenty-two retired periodontists responded and were excluded from the analysis. The data from the remaining 574 surveys were analyzed with a statistical software package. RESULTS: Approximately half (49.8%) of the survey respondents offer i.v. sedation in their practices. Among respondents who completed residency prior to 1996, 42.6% offer i.v. sedation compared with 64.2% of respondents who completed residency in 1996 or later. The number of i.v. sedations performed in residency was moderately correlated with the number of i.v. sedations personally performed in periodontal practice (Spearman r = 0.5169, P <0.0001). The largest percentage of periodontists using i.v. sedation (74.0%) was reported from American Academy of Periodontology District 5 (south central United States), whereas District 7 (New Jersey and New York) reported the lowest usage (15.6%). CONCLUSIONS: Approximately half of all periodontists provide i.v. sedation, with more recent periodontal graduates more likely to personally offer and administer i.v. sedation services for their patients. Regional differences exist in the use and training of i.v. sedation.