The influence of social and environmental determinants of health on hospitalizations for pediatric asthma

BACKGROUND

Asthma is the most common chronic disease of childhood, and has several social, environmental, and demographic factors potentially influential to its disease burden. This study sought to determine the influence of these factors on hospital admissions and readmissions for pediatric asthma.

METHODS

This was a retrospective cohort study using data from the Indiana Network for Patient Care, a state-wide health information exchange in the United States. Study participants were children 2-18 years old admitted to the hospital with a respiratory diagnostic code between 2010 and 2021. Clinical variables were obtained from electronic health record data, and social and environmental determinants of health data were obtained from the Indiana Social Assets and Vulnerabilities Indicators using geocoding systems. Negative binomial models were used to examine community level social and environmental risk factors modifying the relationship between patient characteristics and the risk of asthma-related hospitalizations and 30-day readmissions.

RESULTS

The study sample included 25,063 patients with an average follow-up of 9 (SD = 5) years. Of these, there were 17,816 asthma-related admissions. There were a total of 1,037 asthma-related 30-day readmissions, with an incidence rate of readmissions relative to total visits of 0.028 per person-year. A high social vulnerability index (SVI) was associated with an increased rate of hospital admissions (Proportion attributable ratio: 1.09, 95%CI (1.03,1.15), p < 0.05). No environmental determinants of health were significantly associated with hospitalization rate.

CONCLUSION

High SVI was significantly associated with increased risk of total hospital admissions for pediatric asthma.

Randomized trial of anakinra plus zinc vs. prednisone for severe alcohol-associated hepatitis

BACKGROUND & AIMS

Severe alcohol-associated hepatitis (SAH) is associated with high 90-day mortality. Glucocorticoid therapy for 28 days improves 30- but not 90-day survival. We assessed the efficacy and safety of a combination of anakinra, an IL-1 antagonist, plus zinc (A+Z) compared to prednisone using the Day-7 Lille score as a stopping rule in patients with SAH.

METHODS

In this phase IIb double-blind randomized trial in adults with SAH and MELD scores of 20-35, participants were randomized to receive either daily anakinra 100 mg subcutaneously for 14 days plus daily zinc sulfate 220 mg orally for 90 days, or daily prednisone 40 mg orally for 30 days. Prednisone or prednisone placebo was stopped if Day-7 Lille score was >0.45. All study drugs were stopped for uncontrolled infection or ≥5 point increase in MELD score. The primary endpoint was overall survival at 90 days.

RESULTS

Seventy-three participants were randomized to prednisone and 74 to A+Z. The trial was stopped early after a prespecified interim analysis showed prednisone was associated with higher 90-day overall survival (90% vs. 70%; hazard ratio for death = 0.34, 95% CI 0.14-0.83, p = 0.018) and transplant-free survival (88% vs. 64%; hazard ratio for transplant or death = 0.30, 95% CI 0.13-0.69, p = 0.004) than A+Z. Acute kidney injury was more frequent with A+Z (45%) than prednisone (22%) (p = 0.001), but rates of infection were similar (31% in A+Z vs. 27% in prednisone, p = 0.389).

CONCLUSIONS

Participants with SAH treated with prednisone using the Day-7 Lille score as a stopping rule had significantly higher overall and transplant-free 90-day survival and lower incidence of acute kidney injury than those treated with A+Z.

IMPACT AND IMPLICATIONS

There is no approved treatment for severe alcohol-associated hepatitis (SAH). In this double-blind randomized trial, patients with SAH treated with prednisone using the Lille stopping rule on Day 7 had higher 90-day overall and transplant-free survival and lower rates of acute kidney injury compared to patients treated with a combination of anakinra and zinc. The data support continued use of glucocorticoids for patients with SAH, with treatment discontinuation for those with a Lille score >0.45 on Day 7.

TRIAL REGISTRATION

NCT04072822.

An additive-multiplicative model for longitudinal data with informative observation times

Designed clinical studies often assess outcomes at pre-planned time points. In most situations, standard statistical models, such as generalized linear mixed models and generalized additive models, are sufficient to depict the temporal trends of the outcome and produce valid inference. Complicating factors, however, do exist in practical data analyses. One complication arises when the outcome and observational processes are interdependent, that is, the observational process is informative; another challenge is patient characteristics may influence the longitudinally observed outcomes in non-additive ways, for example, by multiplicative factors. In this research, we extend the standard longitudinal models to accommodate informative observation through a more flexible modeling structure-one with additive-multiplicative components that do not require explicit specification of the dependency structure between the outcome and observation processes. Along this vein, we provide the essential theory for inference in such models. Simulation studies showed the proposed method performs well for finite-sample scenarios, and the method was applied to analyze a motivating example from an alcohol-associated hepatitis observational study.

Food resources and kitchen skills plus aerobic training (FoRKS+) for black adults with hypertension: A pilot trial protocol

BACKGROUND

Midlife hypertension is associated with cognitive decline and Alzheimer's disease and related dementia (ADRD), suggesting that blood pressure control may be a therapeutic target for dementia prevention. Given excess hypertension in non-Hispanic Black (NHB) adults, blood pressure control may also reduce ADRD disparities. We describe a pilot randomized controlled trial (RCT) to evaluate the feasibility and preliminary efficacy of a multicomponent lifestyle-based intervention versus enhanced usual care on cognition among middle-aged NHB adults.

METHODS AND STUDY DESIGN

The Food Resources and Kitchen Skills plus Aerobic Training (FoRKS+) study is a 2-arm, single-blinded trial that compares those receiving the FoRKS+ program (target N = 64) versus those receiving enhanced usual care (target N = 64) in local federally-qualified health centers. Key eligibility criteria include self-identified NHB adults between ages 35-75 with a mean systolic blood pressure ≥ 130 mm/Hg obtained from 24-h ambulatory blood pressure monitoring. The FoRKS+ program includes 5 weeks of hypertension self-management courses, 11 weeks of nutrition courses, and 12 weeks of aerobic training in dietitian and health coach-led virtual groups. We will collect data on primary cognitive outcomes, feasibility, hypothesized intervention mediators and moderators, and demographic and health covariates at baseline, near intervention weeks 16-, and 28 (primary outcome assessment), and week 52 follow-up. We will use mixed-effects modeling to examine intervention effects on cognition.

DISCUSSION

This pilot RCT will examine the feasibility and preliminary effects of a multicomponent lifestyle intervention on cognitive function in NHB adults, which may have implications for reducing health disparities in ADRD.

Who gets screened and who tests positive? Drug screening among justice-involved youth in a midwestern urban county

BACKGROUND

Given high rates of substance use among justice-involved youth, justice systems have attempted to monitor use through drug screening (DS) procedures. However, there is discretion in deciding who is screened for substance use, as not every youth who encounters the system is screened. The aim of the current study was to examine factors associated with selection for and results of oral DS among justice-involved youth assigned to probation to better inform potential DS policy. Electronic court records from 4,668 youth with first-incident records assigned to probation in a midwestern urban county's juvenile justice system between 2011 and 2016 were included in the analytical sample. Race/ethnicity, gender, age, number of charges and charge type for the current incident were included as independent variables.

RESULTS

Multivariable hierarchical logistic regression analyses indicated that males were more likely to be assigned to DS (aOR = 0.40, 95%CI [0.34, 0.46]), and more likely to test positive for use (aOR = 0.43, 95% CI [0.34, 0.54]) than females. As age increased, youth were less likely to be assigned to DS (aOR = 0.91, 95% CI [0.87, 0.94]), with non-significant differences in DS results. Greater number of charges were associated with a higher likelihood of being assigned to DS (aOR = 1.55, 95% CI [1.43, 1.68]). Youth with violent offenses were more likely to be assigned to DS than those with other offense types (property offenses, drug offenses, statutory offenses, disorderly conduct, and all other offenses), but less likely to test positive for use.

CONCLUSIONS

Many factors were associated with differences in DS, but these factors were not always associated with differential DS results. Demographic or charge-based decisions may not be appropriate for DS assignment.

Development and evaluation of objective trial performance metrics for multisite clinical studies: Experience from the AlcHep Network

BACKGROUND

Recruitment and retention are critical in clinical studies but there are limited objective metrics of trial performance. We tested if development of trial performance metrics will allow for objective evaluation of study quality. Performance metrics were developed using data from the observational cohort (OBS) and randomized clinical trial (RCT) arms of the prospective Alcoholic Hepatitis Network.

METHODS

Yield-rate (%YR; eligible/screened), recruitment index (RI; mean recruitment time/patient), completion index (CI; average number of days to complete the follow-up/patient), and protocol adherence index (AI; average number of deviations/subject recruited) were determined.

RESULTS

2250 patients (1168 for OBS; 1082 for RCT) were screened across 8 sites. Recruitment in the RCT (57% target) was similar to that in the OBS (59% target). Of those screened, 743 (63.6%) subjects in the OBS and 147 (13.6%) subjects in the RCT were enrolled in the study. In OBS study, 253 (34.1%) subjects, and in the RCT, 68 (46.3%) subjects, completed the study or reached a censoring event. Across all sites (range), YR for OBS was 63.6% (41.3-98.3%) and for RCT was 13.6% (5.5-92.6%); RI for OBS was 1.66 (8.79-19.85) and for RCT was 4.05 (19.76-36.43); CI for OBS was 4.87 (22.6-118.3) and for RCT was 8.75 (27.27-161.5); and AR for OBS was 0.56 (0.08-1.04) and for RCT was 1.55 (0.39-3.21. Factors related to participants, research design, study team, and research sponsors contributed to lower performance metrics.

CONCLUSIONS

Objective measures of clinical trial performance allow for strategies to enhance study quality and development of site-specific improvement plans.

TRIAL REGISTRATION NUMBER

ClinicalTrials.gov NCT4072822 NCT03850899.

An Improved Statistical Modeling Approach to Individual Anticholinergic Drug Use Trend Analysis

Anticholinergic (AC) drugs are commonly prescribed to older adults for treating diseases and chronic conditions, such as chronic obstructive pulmonary disease, urinary incontinence, gastrointestinal disorder, or simply pain and allergy. The high prevalence of AC drug use can have a detrimental effect on the mental health of older adults. We aim to improve the prediction of future trends of AC drug use at the individual level, with pharmacy refill data. The individual drug use data presents challenges in the modeling, such as data being discrete-valued with excess zeros and having significant unobserved heterogeneity in the trend pattern. To address these challenges, we propose a statistical model of hierarchical structure and an EM scheme for the model parameter estimation. We evaluate the proposed modeling approach through a numerical study with synthetic data and a case study with real-world pharmacy refill data. The simulation study show that our analysis method outperforms the existing ones (e.g., reducing MSE significantly), particularly in terms of accurately predicting the trend pattern. The real-world case study further verifies the out-performance and demonstrate the advantageous features of our method. We expect the prediction tool developed based on our study can assist pharmacists' decision on initiating or strengthening behavioral interventions with the hope of discontinuing AC drug misuse.

ARDaC Common Data Model Facilitates Data Dissemination and Enables Data Commons for Modern Clinical Studies

Modern clinical studies collect longitudinal and multimodal data about participants, treatments and responses, biospecimens, and molecular and multiomics data. Such rich and complex data requires new common data models (CDM) to support data dissemination and research collaboration. We have developed the ARDaC CDM for the Alcoholic Hepatitis Network (AlcHepNet) Research Data Commons (ARDaC) to support clinical studies and translational research in the national AlcHepNet consortium. The ARDaC CDM bridges the gap between the data models used by the AlcHepNet electronic data capture platform (REDCap) and the Genomic Data Commons (GDC) data model used by the Gen3 data commons framework. It extends the GDC data model for clinical studies; facilitates the harmonization of research data across consortia and programs; and supports the development of the ARDaC. ARDaC CDM is designed as a general and extensible CDM for addressing the needs of modern clinical studies. The ARDaC CDM is available at https://dev.ardac.org/DD.

Impact of Finerenone-Induced Albuminuria Reduction on Chronic Kidney Disease Outcomes in Type 2 Diabetes : A Mediation Analysis

BACKGROUND

In patients with chronic kidney disease (CKD) and type 2 diabetes (T2D), finerenone, a nonsteroidal mineralocorticoid receptor antagonist, reduces cardiovascular and kidney failure outcomes. Finerenone also lowers the urine albumin-to-creatinine ratio (UACR). Whether finerenone-induced change in UACR mediates cardiovascular and kidney failure outcomes is unknown.

OBJECTIVE

To quantify the proportion of kidney and cardiovascular risk reductions seen over a 4-year period mediated by a change in kidney injury, as measured by the change in log UACR between baseline and month 4.

DESIGN

Post hoc mediation analysis using pooled data from 2 phase 3, double-blind trials of finerenone. (ClinicalTrials.gov: NCT02540993 and NCT02545049).

SETTING

Several clinical sites in 48 countries.

PATIENTS

12 512 patients with CKD and T2D.

INTERVENTION

Finerenone and placebo (1:1).

MEASUREMENTS

Separate mediation analyses were done for the composite kidney (kidney failure, sustained ≥57% decrease in estimated glomerular filtration rate from baseline [approximately a doubling of serum creatinine], or kidney disease death) and cardiovascular (cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure) outcomes.

RESULTS

At baseline, median UACR was 514 mg/g. A 30% or greater reduction in UACR was seen in 3338 (53.2%) patients in the finerenone group and 1684 (27.0%) patients in the placebo group. Reduction in UACR (analyzed as a continuous variable) mediated 84% and 37% of the treatment effect on the kidney and cardiovascular outcomes, respectively. When change in UACR was analyzed as a binary variable (that is, whether the guideline-recommended 30% reduction threshold was met), the proportions mediated for each outcome were 64% and 26%, respectively.

LIMITATION

The current findings are not readily extendable to other drugs.

CONCLUSION

In patients with CKD and T2D, early albuminuria reduction accounted for a large proportion of the treatment effect against CKD progression and a modest proportion of the effect against cardiovascular outcomes.

PRIMARY FUNDING SOURCE

Bayer AG.

High flow nasal cannula use is associated with increased hospital length of stay for pediatric asthma

BACKGROUND

High flow nasal cannula (HFNC) is a respiratory device increasingly used to treat asthma. Recent mechanistic studies have shown that nebulized medications may have reduced delivery with HFNC, which may impair asthma treatment. This study evaluated the association between HFNC use for pediatric asthma and hospital length of stay (LOS).

METHODS

This was a retrospective matched cohort study. Cases included patients aged 2-18 years hospitalized between January 2010 and December 2021 with asthma and received HFNC treatment. Controls were selected using logistic regression propensity score matching based on demographics, vital signs, medications, imaging, and social and environmental determinants of health. The primary outcome was hospital LOS.

RESULTS

A total of 23,659 encounters met eligibility criteria, and of these 1766 cases included HFNC treatment with a suitable matched control. Cases were well-matched in demographics, social and environmental determinants of health, and clinical characteristics including use of adjunctive asthma therapies. The median hospital LOS for study cases was significantly higher at 87 h (interquartile range [IQR]: 61-145) compared to 66 h (IQR: 43-105) in the matched controls (p < 0.01). There was no significant difference in the rate of intubation and mechanical ventilation (8.9% vs. 7.6%, p = .18); however, the use of NIV was significantly higher in the cases than the control group (21.3% vs. 6.7%, p < .01).

CONCLUSION

In this study of children hospitalized for asthma, HFNC use was associated with increased hospital LOS compared to matched controls. Further research using more granular data and additional relevant variables is needed to validate these findings.

Associations between outpatient treatment and the use of intensive psychiatric healthcare services

The current manuscript examines concurrent and longitudinal associations between the utilization of outpatient and intensive psychiatric services among Medicaid-enrolled youth. Using an administrative dataset of Medicaid claims from 2007 to 2017, youth were included if they were between the ages of 10-18 (M = 13.4, SD = 2.6) and had a psychiatric Medicaid claim (N = 33,590). Psychiatric services were coded as outpatient, emergency department (ED), inpatient, or residential based on Medicaid codes. Logistic regression analyses indicated that the receipt of even one outpatient visit significantly reduced the odds of having an ED, inpatient, and residential visit within 60-, 90-, and 120-day windows. Survival analyses indicated most youth did not have any ED, inpatient, or residential visit following their first outpatient visit. For remaining youth, having an outpatient visit significantly increased the risk of having an ED, inpatient, and residential visit following their initial appointment, which may suggest these youth are being triaged to a more appropriate level of care. Classification accuracy analyses indicated a cutoff of 2 outpatient visits yielded maximum accuracy in determining youth with ED, inpatient, and residential visits. Findings highlight use of outpatient-level services in reducing risk of more intensive service utilization.

Using Palliative Leaders in Facilities to Transform Care for People with Alzheimer's Disease (UPLIFT-AD): protocol of a palliative care clinical trial in nursing homes

BACKGROUND

Palliative care is an effective model of care focused on maximizing quality of life and relieving the suffering of people with serious illnesses, including dementia. Evidence shows that many people receiving care in nursing homes are eligible for and would benefit from palliative care services. Yet, palliative care is not consistently available in nursing home settings. There is a need to test pragmatic strategies to implement palliative care programs in nursing homes.

METHODS/DESIGN

The UPLIFT-AD (Utilizing Palliative Leaders in Facilities to Transform care for people with Alzheimer's Disease) study is a pragmatic stepped wedge trial in 16 nursing homes in Maryland and Indiana, testing the effectiveness of the intervention while assessing its implementation. The proposed intervention is a palliative care program, including 1) training at least two facility staff as Palliative Care Leads, 2) training for all staff in general principles of palliative care, 3) structured screening for palliative care needs, and 4) on-site specialty palliative care consultations for a one-year intervention period. All residents with at least moderate cognitive impairment, present in the facility for at least 30 days, and not on hospice at baseline are considered eligible. Opt-out consent is obtained from legal decision-makers. Outcome assessments measuring symptoms and quality of care are obtained from staff and family proxy respondents at four time points: pre-implementation (baseline), six months after implementation, at 12 months (conclusion of implementation), and six months after the end of implementation. Palliative care attitudes and practices are assessed through surveys of frontline nursing home staff both pre- and post-implementation. Qualitative and quantitative implementation data, including fidelity assessments and interviews with Palliative Care Leads, are also collected. The study will follow the Declaration of Helsinki.

DISCUSSION

This trial assesses the implementation and effectiveness of a robust palliative care intervention for residents with moderate-to-advanced cognitive impairment in 16 diverse nursing homes. The intervention represents an innovative, pragmatic approach that includes both internal capacity-building of frontline nursing home staff, and support from external palliative care specialty consultants.

TRIAL REGISTRATION

The project is registered on ClinicalTrials.gov: NCT04520698.

Zinc for infection prevention in children with sickle cell anemia: a randomized double-blind placebo-controlled trial

Data from small clinical trials in the United States and India suggest zinc supplementation reduces infection in adolescents and adults with sickle cell anemia (SCA), but no studies of zinc supplementation for infection prevention have been conducted in children with SCA living in Africa. We conducted a randomized double-blind placebo-controlled trial to assess zinc supplementation for prevention of severe or invasive infections in Ugandan children 1.00-4.99 years with SCA. Of 252 enrolled participants, 124 were assigned zinc (10 mg) and 126 assigned placebo once daily for 12 months. The primary outcome was incidence of protocol-defined severe or invasive infections. Infection incidence did not differ between treatment arms (282 vs. 270 severe or invasive infections per 100 person-years, respectively, incidence rate ratio of 1.04 [95% confidence interval (CI), 0.81, 1.32, p=0.78]), adjusting for hydroxyurea treatment. There was also no difference between treatment arms in incidence of serious adverse events or SCA-related events. Children receiving zinc had increased serum levels after 12-months, but at study exit, 41% remained zinc deficient (<65 μg/dL). In post-hoc analysis, occurrence of stroke or death was lower in the zinc treatment arm (adjusted hazard ratio (95% CI), 0.22 (0.05, 1.00); p=0.05). Daily 10 mg zinc supplementation for 12 months did not prevent severe or invasive infections in Ugandan children with SCA, but many supplemented children remained zinc deficient. Optimal zinc dosing and the role of zinc in preventing stroke or death in SCA warrant further investigation. This trial was registered at clinicaltrials.gov as #NCT03528434.

The Role of Partner Gender in Bisexual Men's Stigma-Related Experiences and Mental Health: Results From a Probability-Based Sample in the United States

Bisexual men are disproportionately affected by negative mental health outcomes compared to heterosexual and gay men. These disparities are related to the unique stressors that they experience, and emerging evidence suggests that their experiences of these stressors can be different depending on the gender of their partner. However, previous studies have largely focused on bisexual women and little is known about the role of partner gender in bisexual men's experiences and mental health. We examined the associations between relationship type and outness, stigma-related experiences, and mental health using data from Wave 1 of the National Study of Stigma and Sexual Health, a probability-based sample of 502 gay and bisexual men in the U.S. Analyses focused on the subset of 128 men who identified as bisexual (44.53% in relationships with women, 14.84% in relationships with men, 40.63% not in relationships). Bisexual men in relationships with men reported being more out than those in relationships with women and those who were not in relationships; furthermore, bisexual men in relationships with men reported more discrimination and family stress than those in relationships with women. Bisexual men who were not in relationships reported more anticipated and internalized stigma than those in relationships with men; additionally, bisexual men who were not in relationships reported more anticipated stigma and depression than those in relationships with women. Partner gender plays a role in bisexual men's stigma-related experiences and mental health, and efforts to improve bisexual men's health should attend to sexual orientation, relationship status, and partner gender.

Population-based discovery and Mendelian randomization analysis identify telmisartan as a candidate medicine for Alzheimer's disease in African Americans

INTRODUCTION

African Americans (AAs) and European Americans (EAs) differ in Alzheimer's disease (AD) prevalence, risk factors, and symptomatic presentation and AAs are less likely to enroll in AD clinical trials.

METHODS

We conducted race-conscious pharmacoepidemiologic studies of 5.62 million older individuals (age ≥60) to investigate the association of telmisartan exposure and AD outcome using Cox analysis, Kaplan-Meier analysis, and log-rank test. We performed Mendelian randomization (MR) analysis of large ethnically diverse genetic data to test likely causal relationships between telmisartan's target and AD.

RESULTS

We identified that moderate/high telmisartan exposure was significantly associated with a reduced incidence of AD in the AAs compared to low/no telmisartan exposure (hazard ratio [HR] = 0.77, 95% CI: 0.65-0.91, p-value = 0.0022), but not in the non-Hispanic EAs (HR = 0.97, 95% CI: 0.89-1.05, p-value = 0.4110). Sensitivity and sex-/age-stratified patient subgroup analyses identified that telmisartan's medication possession ratio (MPR) and average hypertension daily dosage were significantly associated with a stronger reduction in the incidence of both AD and dementia in AAs. Using MR analysis from large genome-wide association studies (GWAS) (over 2 million individuals) across AD, hypertension, and diabetes, we further identified AA-specific beneficial effects of telmisartan for AD.

DISCUSSION

Randomized controlled trials with ethnically diverse patient cohorts are warranted to establish causality and therapeutic outcomes of telmisartan and AD.

HIGHLIGHTS

Telmisartan is associated with lower risk of Alzheimer's disease (AD) in African Americans (AAs). Telmisartan is the only angiotensin II receptor blockers having PPAR-γ agonistic properties with beneficial anti-diabetic and renal function effects, which mitigate AD risk in AAs. Mendelian randomization (MR) analysis demonstrates the specificity of telmisartan's protective mechanism to AAs.

Design of a multicenter randomized clinical trial for treatment of Alcohol-Associated Hepatitis

Background

Mortality is high for severe alcohol-associated hepatitis (AH). Corticosteroids are the standard of care for patients without contraindications. Recent data showed that interleukin-1β receptor antagonist anakinra attenuated inflammation and liver damage. We designed a multicenter, double-blind, randomized controlled trial to assess the safety and efficacy of anakinra compared to prednisone.

Methods

Patients meeting the clinical and biochemical criteria for severe AH with MELD scores between 20 and 35 were recruited at eight clinical sites. Eligible patients enrolled in the study were randomized to anakinra, 100 mg subcutaneous injection for 14 days, plus zinc sulfate 220 mg for 90 days, vs. prednisone 40 mg PO daily for 30 days. Matching placebos for anakinra, zinc, and prednisone were provided to mask the treatment. Participants were followed for 180 days. The primary outcome was overall survival at 90 days. An unadjusted log-rank test was used to compare the survival of the two treatments in the first 90 days. Between July 10, 2020, and March 4, 2022, we screened 1082 patients with severe AH, and 147 eligible patients were enrolled and randomized. The average baseline MELD score was 25 [range 20-35], Maddrey discriminant function (MDF) was 59.4 [range 20.2-197.5]. The mean aspartate transaminase (AST)-to-alanine transaminase (ALT) ratio was 3.5. The baseline characteristics were not statistically different between the two treatment groups.

Conclusions

The study provided a direct comparison of the survival benefits and safety profiles of anakinra plus zinc vs. prednisone in patients with severe AH.

A reference-free R-learner for treatment recommendation

Assigning optimal treatments to individual patients based on their characteristics is the ultimate goal of precision medicine. Deriving evidence-based recommendations from observational data while considering the causal treatment effects and patient heterogeneity is a challenging task, especially in situations of multiple treatment options. Herein, we propose a reference-free R-learner based on a simplex algorithm for treatment recommendation. We showed through extensive simulation that the proposed method produced accurate recommendations that corresponded to optimal treatment outcomes, regardless of the reference group. We used the method to analyze data from the Systolic Blood Pressure Intervention Trial (SPRINT) and achieved recommendations consistent with the current clinical guidelines.

Continuous Glucose Monitoring and Other Wearable Devices to Assess Hypoglycemia among Older Adult Outpatients with Diabetes Mellitus

BACKGROUND

Hypoglycemia (HG) causes symptoms that can be fatal, and confers risk of dementia. Wearable devices can improve measurement and feedback to patients and clinicians about HG events and risk.

OBJECTIVES

The aim of the study is to determine whether vulnerable older adults could use wearables, and explore HG frequency over 2 weeks.

METHODS

First, 10 participants with diabetes mellitus piloted a continuous glucometer, physical activity monitor, electronic medication bottles, and smartphones facilitating prompts about medications, behaviors, and symptoms. They reviewed graphs of glucose values, and were asked about the monitoring experience. Next, a larger sample (N = 70) wore glucometers and activity monitors, and used the smartphone and bottles, for 2 weeks. Participants provided feedback about the devices. Descriptive statistics summarized demographics, baseline experiences, behaviors, and HG.

RESULTS

In the initial pilot, 10 patients aged 50 to 85 participated. Problems addressed included failure of the glucometer adhesive. Patients sought understanding of graphs, often requiring some assistance with interpretation. Among 70 patients in subsequent testing, 67% were African-American, 59% were women. Nearly one-fourth (23%) indicated that they never check their blood sugars. Previous HG was reported by 67%. In 2 weeks of monitoring, 73% had HG (glucose ≤70 mg/dL), and 42% had serious, clinically significant HG (glucose under 54 mg/dL). Eight patients with HG also had HG by home-based blood glucometry. Nearly a third of daytime prompts were unanswered. In 24% of participants, continuous glucometers became detached.

CONCLUSION

Continuous glucometry occurred for 2 weeks in an older vulnerable population, but devices posed wearability challenges. Most patients experienced HG, often serious in magnitude. This suggests important opportunities to improve wearability and decrease HG frequency among this population.

clusterMLD: An Efficient Hierarchical Clustering Method for Multivariate Longitudinal Data

Longitudinal data clustering is challenging because the grouping has to account for the similarity of individual trajectories in the presence of sparse and irregular times of observation. This paper puts forward a hierarchical agglomerative clustering method based on a dissimilarity metric that quantifies the cost of merging two distinct groups of curves, which are depicted by B-splines for the repeatedly measured data. Extensive simulations show that the proposed method has superior performance in determining the number of clusters, classifying individuals into the correct clusters, and in computational efficiency. Importantly, the method is not only suitable for clustering multivariate longitudinal data with sparse and irregular measurements but also for intensely measured functional data. Towards this end, we provide an R package for the implementation of such analyses. To illustrate the use of the proposed clustering method, two large clinical data sets from real-world clinical studies are analyzed.

SARS-CoV-2 Infection, Hospitalization, and Death in Vaccinated and Infected Individuals by Age Groups in Indiana, 2021‒2022

Objectives. To assess the effectiveness of vaccine-induced immunity against new infections, all-cause emergency department (ED) and hospital visits, and mortality in Indiana. Methods. Combining statewide testing and immunization data with patient medical records, we matched individuals who received at least 1 dose of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines with individuals with previous SARS-CoV-2 infection on index date, age, gender, race/ethnicity, zip code, and clinical diagnoses. We compared the cumulative incidence of infection, all-cause ED visits, hospitalizations, and mortality. Results. We matched 267 847 pairs of individuals. Six months after the index date, the incidence of SARS-CoV-2 infection was significantly higher in vaccine recipients (6.7%) than the previously infected (2.9%). All-cause mortality in the vaccinated, however, was 37% lower than that of the previously infected. The rates of all-cause ED visits and hospitalizations were 24% and 37% lower in the vaccinated than in the previously infected. Conclusions. The significantly lower rates of all-cause ED visits, hospitalizations, and mortality in the vaccinated highlight the real-world benefits of vaccination. The data raise questions about the wisdom of reliance on natural immunity when safe and effective vaccines are available. (Am J Public Health. 2023;113(1):96-104. https://doi.org/10.2105/AJPH.2022.307112).

SYMPTOM BURDEN AND QUALITY OF LIFE FOR NURSING HOME RESIDENTS WITH DEMENTIA: UPLIFT TRIAL EARLY DATA

Communication difficulties in nursing home (NH) residents with dementia make valid assessment of symptoms and quality-of-life (QOL) challenging. Thus, researchers and clinicians frequently rely on proxy-based measures. The End-of-life Dementia-Comfort Assessment in Dying (EOLD-CAD) and two single-item QOL measures (7-point item; 5-point item) have been used in several studies, though evaluation of their psychometric properties is limited. We used baseline data from an ongoing multi-site randomized trial (UPLIFT) to describe symptoms and QOL and examine the measures’ validity and reliability in 138 residents with moderate to severe dementia living at 16 facilities. Descriptive data and assessments of convergent validity and inter-rater reliability are provided. Based on assessments by 134 staff and 45 family, physical symptoms, physical distress, and emotional distress were reported as infrequent by staff and family; indications of well-being were more frequently observed. Median QOL was the same for staff and family observers (4=“Life is so-so” [7-point item]; 3=“Fair” [5-point item]). Inter-observer assessments of resident QOL (staff vs. family) were correlated (7-point item: r=0.47, ICC=.643; 5-point item: r=0.48, ICC=.645, p<.05 for all). Seven of 18 EOLD-CAD symptoms were significantly positively correlated. ICC values varied between high or moderately high: shortness-of-breath (ICC=.74), choking (ICC=.65), gurgling (ICC=.81), agitation (ICC=.51), fear (ICC=.46), crying (ICC=.65), peace (ICC=.57), and care resistance (ICC=.68) (p<.05 for all). Choking and gurgling were the most prominently reported symptoms by both groups.Early findings provide a contemporary assessment of QOL and symptoms among NH residents with dementia. Measurement properties affirm general reliability and validity of study instruments.

DELIVERING FOOD RESOURCES AND KITCHEN SKILLS TO OLDER ADULTS WITH FOOD INSECURITY AND HYPERTENSION

Non-Hispanic Black adults experience higher rates of food insecurity, poor diet quality, and hypertension compared with their non-Hispanic White counterparts. Delivering Food Resources and Kitchen Skills (FoRKS) is an integrated intervention that concurrently addresses food insecurity, nutrition literacy, and chronic disease self-management among older patients at a Federally Qualified Health Center. Two clinical dietitians led virtual hypertension self-management, cooking skills, and nutrition education classes twice per week for 16 weeks. Participants registered for classes, ordered free meal ingredients, and received encouragement from the dietitians through the FoRKS mobile technology application. This study presents diet quality descriptive results from the FoRKS pilot intervention conducted at Eskenazi Health from September 2021 to January 2022 in Indianapolis, Indiana. Participants (n=13) with hypertension (systolic blood pressure ≥120 mm Hg) and who identified as food insecure per the 18-item US Household Food Security Survey Module completed the 2018-version of the National Cancer Institute’s Automated Self-Administered 24-hour (ASA24) Dietary Assessment Tool at baseline and post-intervention assessments. Healthy Eating Index (HEI)-2015 scores range from 0-100 and were calculated from ASA24 data. Participants were non-Hispanic Black (n=12) or non-Hispanic White (n=1) with mean age 58 years (range 53-65 years). Mean±SD HEI-2015 scores improved from 51.5±11.9 at baseline to 55.2±12.5 after the intervention. This preliminary data supports further investigation into the efficacy of integrated lifestyle interventions, i.e., FoRKS, using a randomized controlled study design. Addressing food and culinary skills can lead to improvements in diet quality that may translate to improved disease management among diverse older adults.

The design and conduct of a pragmatic cluster randomized trial of an advance care planning program for nursing home residents with dementia

BACKGROUND/AIMS

A significant number of people with Alzheimer's disease or related dementia diagnoses will be cared for in nursing homes near the end of life. Advance care planning (ACP), the process of eliciting and documenting patient-centered preferences for care, is considered essential to providing high quality care for this population. Nursing homes are currently required by regulations to offer ACP to residents and families, but no training requirements exist for nursing home staff, and approaches to fulfilling this regulatory and ethical responsibility vary. As a result, residents may receive care inconsistent with their goals, such as unwanted hospitalizations. Pragmatic trials offer a way to develop and test ACP in real-world settings to increase the likelihood of adoption of sustainable best practices.

METHODS

The "Aligning Patient Preferences-a Role Offering Alzheimer's patients, Caregivers, and Healthcare Providers Education and Support (APPROACHES)" project is designed to pragmatically test and evaluate a staff-led program in 137 nursing homes (68 = intervention, 69 = control) owned by two nursing home corporations. Existing nursing home staff receive standardized training and implement the ACP Specialist program under the supervision of a corporate lead. The primary trial outcome is the annual rate of hospital transfers (admissions and emergency department visits). Consistent with the spirit of a pragmatic trial, study outcomes rely on data already collected for quality improvement, clinical, or billing purposes. Configurational analysis will also be performed to identify conditions associated with implementation.

RESULTS

Partnerships with large corporate companies enable the APPROACHES trial to rely on corporate infrastructure to roll out the intervention, with support for a corporate implementation lead who is charged with the initial introduction and ongoing support for nursing home-based ACP Specialists. These internal champions connect the project with other company priorities and use strategies familiar to nursing home leaders for the initiation of other programs. Standardized data collection across nursing homes also supports the conduct of pragmatic trials in this setting.

DISCUSSION

Many interventions to improve care in nursing homes have failed to demonstrate an impact or, if successful, maintain an impact over time. Pragmatic trials, designed to test interventions in real-world contexts that are evaluated through existing data sources collected routinely as part of clinical care, are well suited for the nursing home environment. A robust program that increases access to ACP for nursing home residents has the potential to increase goal-concordant care and is expected to reduce hospital transfers. If successful, the ACP Specialist Program will be primed for rapid translation into nursing home practice to reduce unwanted, burdensome hospitalizations and improve the quality of care for residents with dementia.

Semi-parametric time-to-event modelling of lengths of hospital stays

Length of stay (LOS) is an essential metric for the quality of hospital care. Published works on LOS analysis have primarily focused on skewed LOS distributions and the influences of patient diagnostic characteristics. Few authors have considered the events that terminate a hospital stay: Both successful discharge and death could end a hospital stay but with completely different implications. Modelling the time to the first occurrence of discharge or death obscures the true nature of LOS. In this research, we propose a structure that simultaneously models the probabilities of discharge and death. The model has a flexible formulation that accounts for both additive and multiplicative effects of factors influencing the occurrence of death and discharge. We present asymptotic properties of the parameter estimates so that valid inference can be performed for the parametric as well as nonparametric model components. Simulation studies confirmed the good finite-sample performance of the proposed method. As the research is motivated by practical issues encountered in LOS analysis, we analysed data from two real clinical studies to showcase the general applicability of the proposed model.

Frequency and Correlates of Pediatric High-Flow Nasal Cannula Use for Bronchiolitis, Asthma, and Pneumonia

BACKGROUND

Heated humidified high-flow nasal cannula (HFNC) is a respiratory support device historically used in pediatrics for infants with bronchiolitis. No large-scale analysis has determined the current frequency or demographic distribution of HFNC use in children. The objective of this study was to determine the frequency and correlates of HFNC use in children presenting to the hospital for asthma, bronchiolitis, or pneumonia.

METHODS

This longitudinal observational study was based on electronic health record data from a large regional health information exchange, the Indiana Network for Patient Care (INPC). Subjects were age 0-18 y with recorded hospital encounters at an INPC hospital between 2010-2019 with International Classification of Diseases codes for bronchiolitis, asthma, or pneumonia. Annual proportions of HFNC use among all hospital encounters were assessed using generalized additive models. Log-binomial regression models were used to identify correlates of incident HFNC use and determine risk ratios of specific subjects receiving HFNC.

RESULTS

The study sample included 242,381 unique subjects with 412,712 hospital encounters between 2010-2019. The 10-y period prevalence of HFNC use was 2.54% (6,155/242,381) involving 7,974 encounters. Hospital encounters utilizing HFNC increased by 400%, from 326 in 2010 to 1,310 in 2019. This increase was evenly distributed across all 3 diagnostic categories (bronchiolitis, asthma, and pneumonia). Sex, race, age, and ethnicity all significantly influenced the risk of HFNC use. Over the 10-y period, the percentage of all hospital encounters using HFNC increased from 1.11% in 2010 to 3.15% in 2018. Subjects with multiple diagnoses had significantly higher risk of receiving HFNC.

CONCLUSIONS

The use of HFNC in children presenting to the hospital with common respiratory diseases has increased substantially over the past decade and is no longer confined to treating infants with bronchiolitis. Demographic and diagnostic factors significantly influenced the frequency of HFNC use.

Transcriptomic Analysis Reveals the Messenger RNAs Responsible for the Progression of Alcoholic Cirrhosis

Alcohol-associated liver disease is the leading cause of chronic liver disease. We hypothesized that the expression of specific coding genes is critical for the progression of alcoholic cirrhosis (AC) from compensated to decompensated states. For the discovery phase, we performed RNA sequencing analysis of 16 peripheral blood RNA samples, 4 healthy controls (HCs) and 12 patients with AC. The DEGs from the discovery cohort were validated by quantitative polymerase chain reaction in a separate cohort of 17 HCs and 48 patients with AC (17 Child-Pugh A, 16 Child-Pugh B, and 15 Child-Pugh C). We observed that the numbers of differentially expressed messenger RNAs (mRNAs) were more pronounced with worsening disease severity. Pathway analysis for differentially expressed genes for patients with Child-Pugh A demonstrated genes involved innate immune responses; those in Child-Pugh B belonged to genes related to oxidation and alternative splicing; those in Child-Pugh C related to methylation, acetylation, and alternative splicing. We found significant differences in the expression of heme oxygenase 1 (HMOX1) and ribonucleoprotein, PTB binding 1 (RAVER1) in peripheral blood of those who died during the follow-up when compared to those who survived. Conclusion: Unique mRNAs that may implicate disease progression in patients with AC were identified by using a transcriptomic approach. Future studies to confirm our results are needed, and comprehensive mechanistic studies on the implications of these genes in AC pathogenesis and progression should be further explored.

Poverty, Comorbidity, and Ethnicity: COVID-19 Outcomes in a Safety Net Health System

Objective

To determine if race-ethnicity is correlated with case-fatality rates among low-income patients hospitalized for COVID-19.

Research Design

Observational cohort study using electronic health record data.

Patients

All patients assessed for COVID-19 from March 2020 to January 2021 at one safety net health system.

Measures

Patient demographic and clinical characteristics, and hospital care processes and outcomes.

Results

Among 25,253 patients assessed for COVID-19, 6,357 (25.2%) were COVID-19 positive: 1,480 (23.3%) hospitalized; 334 (22.6%) required intensive care; and 106 (7.3%) died. More Hispanic patients tested positive (51.8%) than non-Hispanic Black (31.4%) and White patients (16.7%, P<.001]. Hospitalized Hispanic patients were younger, more often uninsured, and less likely to have comorbid conditions. Non-Hispanic Black patients had significantly more diabetes, hypertension, obesity, chronic kidney disease, and asthma (P<.05). Non-Hispanic White patients were older and had more cigarette smoking history, COPD, and cancer. Non-Hispanic White patients were more likely to receive intensive care (29.6% vs 21.1% vs 20.8%, P=.007) and more likely to die (12% vs 7.3% vs 3.5%, P<.001) compared with non-Hispanic Black and Hispanic patients, respectively. Length of stay was similar for all groups. In logistic regression models, Medicaid insurance status independently correlated with hospitalization (OR 3.67, P<.001) while only age (OR 1.076, P<.001) and cerebrovascular disease independently correlated with in-hospital mortality (OR 2.887, P=.002).

Conclusions

Observed COVID-19 in-hospital mortality rate was lower than most published rates. Age, but not race-ethnicity, was independently correlated with in-hospital mortality. Safety net health systems are foundational in the care of vulnerable patients suffering from COVID-19, including patients from under-represented and low-income groups.

Predicting neurodevelopmental risk in children born to mothers living with HIV in Kenya: protocol for a prospective cohort study (Tabiri Study)

INTRODUCTION

For the growing number of children with in utero and postpartum exposure to HIV and/or antiretrovirals, it is unclear which exposures or risk factors play a significant role in predicting worse neurodevelopmental outcomes. This protocol describes a prospective longitudinal cohort study of infants born to mothers living with HIV and those born to mothers without HIV. We will determine which risk factors are most predictive of child neurodevelopment at 24 months. We aim to create a risk assessment tool to help predict which children are at risk for worse neurodevelopment outcomes.

METHODS AND ANALYSIS

This study leverages an existing Kenyan cohort to prospectively enrol 500 children born to mothers living with HIV and 500 to those without HIV (n=1000 total) and follow them from birth to age 24 months. The following factors will be measured every 6 months: infectious morbidity and biological/sociodemographic/psychosocial risk factors. We will compare these factors between the two groups. We will then measure and compare neurodevelopment within children in both groups at 24 months of age using the Child Behaviour Checklist and the Bayley Scales of Infant and Toddler Development, third edition. Finally, we will use generalised linear mixed modelling to quantify associations with neurodevelopment and create a risk assessment tool for children ≤24 months.

ETHICS AND DISSEMINATION

The study is approved by the Moi University's Institutional Research and Ethics Committee (IREC/2021/55; Approval #0003892), Kenya's National Commission for Science, Technology and Innovation (NACOSTI, Reference #700244) and Indiana University's Institutional Review Board (IRB Protocol #110990). This study carries minimal risk to the children and their mothers, and all mothers will provide written consent for participation in the study. Results will be disseminated to maternal child health clinics within Uasin Gishu County, Kenya and via papers submitted to peer-reviewed journals and presentation at international conferences.

Environments and situations as correlates of eating and drinking among women living with obesity and urban poverty

Objective

One path to improving weight management may be to lessen the self‐control burden of physical activity and healthier food choices. Opportunities to lessen the self‐control burden might be uncovered by assessing the spatiotemporal experiences of individuals in daily context. This report aims to describe the time, place, and social context of eating and drinking and 6‐month weight change among 209 midlife women (n = 113 African–American) with obesity receiving safety‐net primary care.

Methods

Participants completed baseline and 6‐month weight measures, observations and interviews regarding obesogenic cues in the home environment, and up to 12 ecological momentary assessments (EMA) per day for 30 days inquiring about location, social context, and eating and drinking.

Results

Home was the most common location (62%) at times of EMA notifications. Participants reported “yes” to eating or drinking at the time of nearly one in three (31.1% ± 13.2%) EMA notifications. Regarding social situations, being alone was significantly associated with less frequent eating and drinking (OR = 0.75) unless at work in which case being alone was significantly associated with a greater frequency of eating or drinking (OR = 1.43). At work, eating was most common late at night, whereas at home eating was most frequent in the afternoon and evening hours. However, eating and drinking frequency was not associated with 6‐month weight change.

Conclusions

Home and work locations, time of day, and whether alone may be important dimensions to consider in the pursuit of more effective weight loss interventions. Opportunities to personalize weight management interventions, whether digital or human, and lessen in‐the‐moment self‐control burden might lie in identifying times and locations most associated with caloric consumption.

Clinical trial registration: NCT03083964 in clinicaltrials.gov

Age-specific rates of hospital transfers in long-stay nursing home residents

INTRODUCTION

hospital transfers and admissions are critical events in the care of nursing home residents. We sought to determine hospital transfer rates at different ages.

METHODS

a cohort of 1,187 long-stay nursing home residents who had participated in a Centers for Medicare and Medicaid demonstration project. We analysed the number of hospital transfers of the study participants recorded by the Minimum Data Set. Using a modern regression technique, we depicted the annual rate of hospital transfers as a smooth function of age.

RESULTS

transfer rates declined with age in a nonlinear fashion. Rates were the highest among residents younger than 60 years of age (1.30-2.15 transfers per year), relatively stable between 60 and 80 (1.17-1.30 transfers per year) and lower in those older than 80 (0.77-1.17 transfers per year). Factors associated with increased risk of transfers included prior diagnoses of hip fracture (annual incidence rate ratio or IRR: 2.057, 95% confidence interval (CI): [1.240, 3.412]), dialysis (IRR: 1.717, 95% CI: [1.313, 2.246]), urinary tract infection (IRR: 1.755, 95% CI: [1.361, 2.264]), pneumonia (IRR: 1.501, 95% CI: [1.072, 2.104]), daily pain (IRR: 1.297, 95% CI: [1.055,1.594]), anaemia (IRR: 1.229, 95% CI [1.068, 1.414]) and chronic obstructive pulmonary disease (IRR: 1.168, 95% CI: [1.010,1.352]). Transfer rates were lower in residents who had orders reflecting preferences for comfort care (IRR: 0.79, 95% CI: [0.665, 0.936]).

DISCUSSION

younger nursing home residents may require specialised interventions to reduce hospital transfers; declining transfer rates with the oldest age groups may reflect preferences for comfort-focused care.

Chlorthalidone for Hypertension in Advanced Chronic Kidney Disease

BACKGROUND

Little evidence has been available to support the use of thiazide diuretics to treat hypertension in patients with advanced chronic kidney disease.

METHODS

We randomly assigned patients with stage 4 chronic kidney disease and poorly controlled hypertension, as confirmed by 24-hour ambulatory blood-pressure monitoring, in a 1:1 ratio to receive chlorthalidone at an initial dose of 12.5 mg per day, with increases every 4 weeks if needed to a maximum dose of 50 mg per day, or placebo; randomization was stratified according to previous use of loop diuretics. The primary outcome was the change in 24-hour ambulatory systolic blood pressure from baseline to 12 weeks. Secondary outcomes were the change from baseline to 12 weeks in the urinary albumin-to-creatinine ratio, N-terminal pro-B-type natriuretic peptide level, plasma renin and aldosterone levels, and total body volume. Safety was also assessed.

RESULTS

A total of 160 patients underwent randomization, of whom 121 (76%) had diabetes mellitus and 96 (60%) were receiving loop diuretics. At baseline, the mean (±SD) estimated glomerular filtration rate was 23.2±4.2 ml per minute per 1.73 m2 of body-surface area and the mean number of antihypertensive medications prescribed was 3.4±1.4. At randomization, the mean 24-hour ambulatory systolic blood pressure was 142.6±8.1 mm Hg in the chlorthalidone group and 140.1±8.1 mm Hg in the placebo group and the mean 24-hour ambulatory diastolic blood pressure was 74.6±10.1 mm Hg and 72.8±9.3 mm Hg, respectively. The adjusted change in 24-hour systolic blood pressure from baseline to 12 weeks was -11.0 mm Hg (95% confidence interval [CI], -13.9 to -8.1) in the chlorthalidone group and -0.5 mm Hg (95% CI, -3.5 to 2.5) in the placebo group. The between-group difference was -10.5 mm Hg (95% CI, -14.6 to -6.4) (P<0.001). The percent change in the urinary albumin-to-creatinine ratio from baseline to 12 weeks was lower in the chlorthalidone group than in the placebo group by 50 percentage points (95% CI, 37 to 60). Hypokalemia, reversible increases in serum creatinine level, hyperglycemia, dizziness, and hyperuricemia occurred more frequently in the chlorthalidone group than in the placebo group.

CONCLUSIONS

Among patients with advanced chronic kidney disease and poorly controlled hypertension, chlorthalidone therapy improved blood-pressure control at 12 weeks as compared with placebo. (Funded by the National Heart, Lung, and Blood Institute and the Indiana Institute of Medical Research; CLICK ClinicalTrials.gov number, NCT02841280.).

Ten year trends in hospital encounters for pediatric asthma: an Indiana experience

INTRODUCTION

Pediatric asthma is a common cause of emergency department visits, hospital admissions, and mortality. Population incidence studies have historically used large-scale survey data. We measured these epidemiologic trends using a health information exchange.

METHODS

In this retrospective cohort study, we used electronic health record data from a regional health information exchange to study clinical trends in pediatric patients presenting to the hospital for asthma in the State of Indiana. Data was obtained from 2010 to 2019 and included all patients ages 2-18 years. Study participants were identified using international classification of disease codes. The measured outcomes were number of hospital encounters per year, percentage of admissions per year, and mortality rates.

RESULTS

Data included 50,393 unique patients and 88,772 unique encounters, with 57% male patients. Over the ten-year period, hospital encounters ranged from 5000 to 8000 per year with no change in trajectory. Between 2010 and 2012, the percent of encounters admitted to the hospital was ∼30%. This decreased to ∼20-25% for 2015-2019. Patient mortality rates increased from 1 to 3 per 1000 patient encounters in 2010-2014 to between 5 and 7 per 1000 patient encounters from 2016 to 2019. White patients had a significantly higher admission percentage compared to other racial groups, but no difference in mortality rate.

CONCLUSIONS

Asthma continues to be a common condition requiring hospital care for pediatric patients. Regional health information exchanges can enable public health researchers to follow asthma trends in near real time, and have potential for informing patient-level public health interventions.

A Contextual Approach to the Psychological Study of Identity Concealment: Examining Direct, Interactive, and Indirect Effects of Structural Stigma on Concealment Motivation Across Proximal and Distal Geographic Levels

Psychological theories of identity concealment locate the ultimate source of concealment decisions within the social environment, yet most studies have not explicitly assessed stigmatizing environments beyond the immediate situation. We advanced the identity-concealment literature by objectively measuring structural forms of stigma related to sexual orientation (e.g., social policies) at proximal and distal geographic levels. We linked these measures to a new, population-based data set of 502 gay and bisexual men (residing in 44 states and Washington, DC; 269 counties; and 354 cities) who completed survey items about stigma, including identity-concealment motivation. Among gay men, the association between structural stigma and concealment motivation was (a) observed across three levels (city, county, and state), (b) conditional on one's exposure at another geographic level (participants reported the least motivations to conceal their identity if they resided in both cities and states that were lowest in structural stigma), and (c) mediated by subjective perceptions of greater structural stigma.

Robust Estimation of Heterogeneous Treatment Effects: An Algorithm-based Approach

Heterogeneous treatment effect estimation is an essential element in the practice of tailoring treatment to suit the characteristics of individual patients. Most existing methods are not sufficiently robust against data irregularities. To enhance the robustness of the existing methods, we recently put forward a general estimating equation that unifies many existing learners. But the performance of model-based learners depends heavily on the correctness of the underlying treatment effect model. This paper addresses this vulnerability by converting the treatment effect estimation to a weighted supervised learning problem. We combine the general estimating equation with supervised learning algorithms, such as the gradient boosting machine, random forest, and artificial neural network, with appropriate modifications. This extension retains the estimators' robustness while enhancing their flexibility and scalability. Simulation shows that the algorithm-based estimation methods outperform their model-based counterparts in the presence of nonlinearity and non-additivity. We developed an R package, RCATE, for public access to the proposed methods. To illustrate the methods, we present a real data example to compare the blood pressure-lowering effects of two classes of antihypertensive agents.

The point of diminishing returns in juvenile probation: Probation requirements and risk of technical probation violations among first-time probation-involved youth

Technical probation violations are common among probation-involved youth, and across many jurisdictions, may result in detention or residential placement. The current study examined prevalence of technical violations occurring during one's first probation period, the average time to technical violation, and individual-level and justice-related factors related to technical violations among probation-involved youth in a juvenile justice system. We analyzed electronic criminal records of 18,289 probation-involved youth following their first arrest (68.7% male, 53.9% Black, Mage=15.2). Technical violation was defined as a violation resulting from a non-criminal incident. We examined effects of charge severity, probation conditions (e.g., electronic monitoring) and program referrals (e.g., mental health) on likelihood of technical violation utilizing survival analysis stratified by race. Across 18,289 youth, 15.3% received a technical violation during their first probation; Black youth violated more quickly compared to White youth (log-rank test p<.001). In multivariate survival analyses, the hazard for time to technical violation was higher for Black youth compared to white youth (p<.001), males (p=.04), and younger youth (p<.001). Youth assigned to more probation requirements violated more quickly. Electronic monitoring and education, mental health, and drug programs were associated with shorter time to violation, controlling for race, ethnicity, and charge severity. Black youth violate more quickly compared to White youth. Across all youth, assignment to more probation requirements increased risk of technical violation and shorter time to violation. Despite the benefit of probation interventions, system-level efforts are needed to help youth adhere to probation requirements and successfully complete probation.

Reducing anticholinergic medication exposure among older adults using consumer technology: Protocol for a randomized clinical trial

INTRODUCTION

A growing body of scientific evidence points to the potentially harmful cognitive effects of anticholinergic medications among older adults. Most interventions designed to promote deprescribing of anticholinergics have directly targeted healthcare professionals and have had mixed results. Consumer-facing technologies may provide a unique benefit by empowering patients and can complement existing healthcare professional-centric efforts.

METHODS

We initiated a randomized clinical trial to evaluate the effectiveness of a patient-facing mobile application (Brain Safe app) compared to an attention control medication list app in reducing anticholinergic exposure among community-dwelling older adults. Study participants are adults aged 60 years and above, currently using at least one prescribed strong anticholinergic, and receiving primary care. The trial plans to enroll a total of 700 participants, randomly allocated in 1:1 proportion to the two study arms. Participants will have the Brain Safe app (intervention arm) or attention control medication list app (control arm) loaded onto a smartphone (study provided or personal device). All participants will be followed for 12 months and will have data collected at baseline, at 6 months, and 12 months by blinded outcome assessors. The primary outcome of the study is anticholinergic exposure measured as total standard daily dose (TSDD) computed from medication prescription electronic records. Secondary outcomes of the study are cognitive function and health-related quality of life.

DISCUSSION

A consumer-facing intervention to promote deprescribing of potentially high-risk medications can be part of a multi-pronged approach to reduce inappropriate medication use among older adult patients. Delivering a deprescribing intervention via a mobile app is a novel approach and may hold great promise to accelerate deployment of medication safety initiatives across diverse patient populations.

CLINICAL TRIAL REGISTRATION

Registered at ClinicalTrials.gov on October 10, 2019. Identifier number: NCT04121858.

Multicomponent behavioral intervention to reduce exposure to anticholinergics in primary care older adults

OBJECTIVE

To test the impact of a multicomponent behavioral intervention to reduce the use of high-risk anticholinergic medications in primary care older adults.

DESIGN

Cluster-randomized controlled trial.

SETTING AND PARTICIPANTS

Ten primary care clinics within Eskenazi Health in Indianapolis.

INTERVENTION

The multicomponent intervention included provider- and patient-focused components. The provider-focused component was computerized decision support alerting of the presence of a high-risk anticholinergic and offering dose- and indication-specific alternatives. The patient-focused component was a story-based video providing education and modeling an interaction with a healthcare provider resulting in a medication change. Alerts within the medical record triggered staff to play the video for a patient. Our design intended for parallel, independent priming of both providers and patients immediately before an outpatient face-to-face interaction.

MEASUREMENT

Medication orders were extracted from the electronic medical record system to evaluate the prescribing behavior and population prevalence of anticholinergic users. The intervention was introduced April 1, 2019, through March 31, 2020, and a preintervention observational period of April 1, 2018, through March 31, 2019, facilitated difference in difference comparisons.

RESULTS

A total of 552 older adults had visits at primary care sites during the study period, with mean age of 72.1 (SD 6.4) years and 45.3% African American. Of the 259 provider-focused alerts, only three (1.2%) led to a medication change. Of the 276 staff alerts, 4.7% were confirmed to activate the patient-focused intervention. The intervention resulted in no significant differences in either the number of discontinue orders for anticholinergics (intervention: two additional orders; control: five fewer orders, p = 0.7334) or proportion of the population using anticholinergics following the intervention (preintervention: 6.2% and postintervention: 5.1%, p = 0.6326).

CONCLUSION

This multicomponent intervention did not reduce the use of high-risk anticholinergics in older adults receiving primary care. Improving nudges or a policy-focused component may be necessary to reduce use of high-risk medications.

Robust estimation of heterogeneous treatment effects using electronic health record data

Estimation of heterogeneous treatment effects is an essential component of precision medicine. Model and algorithm-based methods have been developed within the causal inference framework to achieve valid estimation and inference. Existing methods such as the A-learner, R-learner, modified covariates method (with and without efficiency augmentation), inverse propensity score weighting, and augmented inverse propensity score weighting have been proposed mostly under the square error loss function. The performance of these methods in the presence of data irregularity and high dimensionality, such as that encountered in electronic health record (EHR) data analysis, has been less studied. In this research, we describe a general formulation that unifies many of the existing learners through a common score function. The new formulation allows the incorporation of least absolute deviation (LAD) regression and dimension reduction techniques to counter the challenges in EHR data analysis. We show that under a set of mild regularity conditions, the resultant estimator has an asymptotic normal distribution. Within this framework, we proposed two specific estimators for EHR analysis based on weighted LAD with penalties for sparsity and smoothness simultaneously. Our simulation studies show that the proposed methods are more robust to outliers under various circumstances. We use these methods to assess the blood pressure-lowering effects of two commonly used antihypertensive therapies.

Aldosterone sensitivity: an opportunity to explore the pathogenesis of hypertension

Aldosterone sensitivity is defined as an outcome variable for a given circulating level of aldosterone. In basic and translational studies, aldosterone sensitivity has been measured in differential tissue responses, e.g., lower urine sodium and higher urine potassium, as an index of the renal response; in clinical studies, aldosterone sensitivity has been measured in differential blood pressure responses. The concept of aldosterone sensitivity disrupts the conventional wisdom of the renin-angiotensin-aldosterone system and has the potential to uncover novel mechanisms of hypertension. Here, we review basic and translational science studies that uncovered differential renal responses to aldosterone and connect this earlier work to more recent observational studies and randomized trials that have demonstrated differential blood pressure responses for a given level of aldosterone in healthy and hypertensive persons. Black race and older age are associated with higher aldosterone sensitivity and blood pressure. We also discuss gaps in the field and how future basic and clinical studies might inform mechanisms of differential sensitivity.

Quantifying Tissue Properties of the Optic Radiations Using Strategically Acquired Gradient Echo Imaging and Enhancing the Contrast Using Diamagnetic Susceptibility Weighted Imaging

Visualization of the optic radiations is of clinical importance for diagnosing many diseases and depicting their anatomic structures for neurosurgical interventions. In this study, we quantify proton density, T1, T2*, and susceptibility of the optic radiation fiber bundles in a series of 10 healthy control participants using strategically acquired gradient echo imaging. Furthermore, we introduce a novel means to enhance the contrast of the optic radiations using diamagnetic susceptibility weighted imaging.

Neighborhood variation in unsolved homicides: a retrospective cohort study in Indianapolis, Indiana, 2007-2017

BACKGROUND

Homicide is a widely acknowledged public health problem in the United States. The majority of homicides are committed with a firearm and have long-term health consequences for family members and entire communities. When left unsolved, violence may be perpetuated due to the retaliatory nature of homicides. Improving homicide clearance rates may help prevent future violence, however, we know little about the community-level social dynamics associated with unsolved homicides.

METHODS

This study examines the individual-and-community-level social processes associated with low homicide clearance rates in Indianapolis, Indiana between 2007 and 2017. Homicide clearance is the primary outcome, defined as if a perpetrator was arrested for that homicide case between 2007 and 2017. Individual-level variables include the victim's race/ethnicity, sex, and age. Community-level (i.e., census tracts) variables include the number of resident complaints against the police, resident complains of community disorder, income inequality, number of police interactions, and proportion of African American residents.

RESULTS

In Indianapolis over a 11-year period, the homicide clearance rate decreased to a low of 38% in 2017, compared to a national clearance rate of 60%. Homicide case clearance was less likely for minority (OR 0.566; 95% CI, 0.407-0.787; p < 0.01) and male (OR 0.576; 95% CI, 0.411-0.807; p < 0.01) victims. Resident complaints of community disorder were associated with a decreased odds of case clearance (OR 0.687; 95% CI, 0.485-0.973; p < .01)., African American victim's cases were less likely to be cleared in 2014-2017 (OR 0.640; 95% CI, 0.437-0.938; p < 0.05), compared to 2007.

CONCLUSIONS

Our study identified differences in neighborhood social processes associated with homicide clearance, indicating existing measures on these community factors are complex. Programs aimed at improving signs of community disorder and building community engagement may improve neighborhood clearance rates, lower violence, and improve the health of these communities.

Comparison of nonlinear curves and surfaces

Estimation of nonlinear curves and surfaces has long been the focus of semiparametric and nonparametric regression analysis. What has been less studied is the comparison of nonlinear functions. In lower-dimensional situations, inference typically involves comparisons of curves and surfaces. The existing comparative procedures are subject to various limitations, and few computational tools have been made available for off-the-shelf use. To address these limitations, two modified testing procedures for nonlinear curve and surface comparisons are proposed. The proposed computational tools are implemented in an R package, with a syntax similar to that of the commonly used model fitting packages. An R Shiny application is provided with an interactive interface for analysts who do not use R. The new tests are consistent against fixed alternative hypotheses. Theoretical details are presented in an appendix. Operating characteristics of the proposed tests are assessed against the existing methods. Applications of the methods are illustrated through real data examples.

Predictors of depression outcomes in adults with cancer: A 12 month longitudinal study

OBJECTIVES

The prevalence of depression in patients with cancer ranges from 8% to 24% within the first year of receiving a cancer diagnosis. Identifying predictors of depression outcomes may facilitate tailored or more intensive treatment in patient subgroups with a poorer prognosis for depression improvement. The objective of this study was to determine predictors of depression severity and improvement over 12 months among adults with cancer.

METHODS

Longitudinal analysis of data from the Indiana Cancer Pain and Depression trial was performed in 309 patients (n = 309) with cancer-related depression. Depression outcomes were assessed at baseline, 1, 3, 6, and 12 months and included depression severity (Hopkins Symptom Checklist-20) and global improvement (Depression Global Rating of Improvement (DGRI)). Multivariable repeated measures analyses, adjusting for treatment group, baseline depression, and time point, were conducted to determine symptom (pain), demographic, and clinical predictors of depression outcomes over 12 months.

RESULTS

Pain was particularly important, with a clinically meaningful reduction in pain predicting a 12-24% greater odds of depression global improvement. Other factors that independently predicted better depression outcomes over 12 months included female sex, newly-diagnosed or maintainence/disease-free cancer, fewer comorbid medical conditions, and higher socioeconomic status. As expected, the three covariates adjusted for in the model (treatment group, passage of time, and baseline depression severity) also predicted depression outcomes.

CONCLUSION

Pain as well as several demographic and clinical factors predict depression outcomes over 12 months. These findings may help identify patient subgroups requiring closer monitoring and more intensive or tailored depression treatment. Trial Registration clinicaltrials.gov Identifier: NCT00313573.