Association Between COVID-19 and Delirium Development in the General Medical Units at an Academic Medical Center

INTRODUCTION

Evidence suggests that inpatients who develop delirium experience worse outcomes. Although there is reason to believe that COVID-positive patients may be at a higher risk for developing delirium, little is known about the association between COVID-19 and delirium among hospitalized patients outside the intensive care unit (ICU). This study aimed to examine (1) the independent association between COVID-19 infection and the development of delirium among all non-ICU patients and (2) the risk factors associated with developing delirium among patients admitted with COVID-19, with a special focus on presenting symptoms.

METHODS

Using electronic health record (EHR) data of adults admitted to any general medical unit at a large academic medical center from July 2020 through February 2021, we used a cross-sectional multivariable logistic regression to estimate the associations, while adjusting for patients' sociodemographic, clinical characteristics, delirium-free length of stay, as well as time fixed effects.

RESULTS

Multivariable regression estimates applied to 20 509 patients hospitalized during the study period indicate that COVID-19-positive patients had 72% higher relative risk (odds ratio 1.72; 95% CI, 1.31 - 2.26; P < 0.001) of developing delirium than the COVID-19-negative patients. However, among the subset of patients admitted with COVID-19, having any COVID-19-specific symptoms was not associated with elevated odds of developing delirium compared to those who were asymptomatic, after controlling for potential confounders.

CONCLUSIONS

COVID-19 positivity was associated with higher odds of developing delirium among patients during their non-ICU hospitalization. These findings may be helpful in targeting the use of delirium prevention strategies among non-ICU patients.

Efficacy of a Digital Intervention to Increase Annual Wellness Visit Scheduling Amid COVID-19 Backlog

BACKGROUND

The Medicare Annual Wellness Visit is a preventive visit that is largely underutilized, a problem further compounded by the COVID-19 pandemic.

METHODS

We implemented a digital outreach intervention to improve Annual Wellness Visit scheduling in our health system. Using a bulk outreach functionality in the electronic medical record, we sent a message to patients due for an Annual Wellness Visit and analyzed the efficacy of this message on scheduling rates while also assessing its impact by race.

RESULTS

Patients who read the message were 40% more likely to schedule an Annual Wellness Visit (OR 1.42; 95% CI, 1.34 - 1.50) compared to those who did not read the message.

DISCUSSION

After this intervention, Annual Wellness Visit scheduling rates increased by 50% for White patients and 325% for Black patients versus prepandemic rates in 2019.

Effect of Implementing a Commercial Electronic Early Warning System on Outcomes of Hospitalized Patients

Despite the widespread adoption of early warning systems (EWSs), it is uncertain if their implementation improves patient outcomes. The authors report a pre-post quasi-experimental evaluation of a commercially available EWS on patient outcomes at a 700-bed academic medical center. The EWS risk scores were visible in the electronic medical record by bedside clinicians. The EWS risk scores were also monitored remotely 24/7 by critical care trained nurses who actively contacted bedside nurses when a patient's risk levels increased. The primary outcome was inpatient mortality. Secondary outcomes were rapid response team calls and activation of cardiopulmonary arrest (code-4) response teams. The study team conducted a regression discontinuity analysis adjusting for age, gender, insurance, severity of illness, risk of mortality, and hospital occupancy at admission. The analysis included 53,229 hospitalizations. Adjusted analysis showed no significant change in inpatient mortality, rapid response team call, or code-4 activations after implementing the EWS. This study confirms the continued uncertainty in the effectiveness of EWSs and the need for further rigorous examinations of EWSs.

Ancient Roots of Today's Emerging Renaissance in Psychedelic Medicine

An international ban on psychedelics initiated by the United Nations' Convention on Psychotropic Substances in 1971 restricted the clinical use of these ancient psychoactive substances. Yet, in an era marked by rising mental health concerns and a growing "Deaths of Despair" epidemic (i.e., excess mortality and morbidity from suicide, drug overdose, and alcoholism), the structured psychedelic use that has long been a part of ritual healing experiences for human societies is slowly regaining credibility in Western medicine for its potential to treat various mental health conditions. We use a historical lens to examine the use of psychedelic therapies over time, translate ancient lessons to contemporary clinical and research practice, and interrogate the practical and ethical questions researchers must grapple with before they can enter mainstream medicine. Given the COVID-19 pandemic and its contributions to the global mental health burden, we also reflect on how psychedelic therapy might serve as a tool for medicine in the aftermath of collective trauma. Ultimately, it is argued that a "psychedelic renaissance" anchored in the lessons of antiquity can potentially help shift healthcare systems-and perhaps the broader society-towards practices that are more humane, attentive to underlying causes of distress, and supportive of human flourishing.

Real-world implementation evaluation of an electronic health record-integrated consumer informatics tool that collects patient-generated contextual data

OBJECTIVE

Use the RE-AIM framework to examine the implementation of a patient contextual data (PCD) Tool designed to share patients' needs, values, and preferences with care teams ahead of clinical encounters.

MATERIALS & METHODS

Observational study that follows initial PCD Tool scaling across primary care at a Midwestern academic health network. Program invitations, enrollment, patient submissions, and clinician views were tracked over a 1-year study period. Logistic regression modeled the likelihood of using the PCD Tool, accounting for patient covariates.

RESULTS

Of 58,874 patients who could be contacted by email, 9,183 (15.6%) became PCD Tool users. Overall, 76% of primary care providers had patients who used the PCD Tool. Older age, female gender, non-minority race, patient portal activation, and Medicare coverage were significantly associated with increased likelihood of use. Number of office visits, medical issues, and behavioral health conditions also associated with use. Primary care staff viewed 18.7% of available PCD Tool summaries, 1.1% to 57.6% per clinic.

DISCUSSION

The intervention mainly reached non-minority patients and patients who used more health services. Given the requirement for an email address on file, some patients may have been underrepresented. Overall, patient reach and adoption and clinician adoption, implementation, and maintenance of this Tool were modest but stable, consistent with a non-directive approach to fostering adoption by introducing the Tool in the absence of clear expectations for use.

CONCLUSION

Healthcare organizations must implement effective methods to increase the reach, adoption, implementation, and maintenance of PCD tools across all patient populations. Assisting people, particularly racial minorities, with PCD Tool registration and actively supporting clinician use are critical steps in implementing technology that facilitates care.

Assessment of oral and overall health parameters using the SillHa Oral Wellness System

OBJECTIVE

The study evaluated use of a multipoint saliva analyzer to assess patient wellness in a contemporary dental practice setting.

STUDY DESIGN

Unstimulated saliva from a diverse 104 patient cohort was analyzed using the SillHa Oral Wellness System. The device measures the following 7 analytes present in the patient's oral rinse: cariogenic bacteria, acidity, buffer capacity, blood, leukocytes, protein, and ammonia. Data obtained were compared with validated clinical assessment data independently provided by credentialed dental professionals.

RESULTS

Measured leukocyte and protein levels were higher in patients with periodontal disease and/or deep gingival pockets. Patients with a history of cancer and/or diabetes presented with higher ammonia and lower leukocyte levels. Acidity levels were higher in patients using multiple xerogenic medications and lower in patients with a history of sleep apnea. Sex differences showed female patients exhibiting higher acidity, lower buffer capacity, and lower ammonia than male patients. Increasing age is associated with elevated buffer capacity.

CONCLUSIONS

Multipoint saliva analyzers such as the one used in this study, along with clinical practice examination and medical history, can provide rapid salivary component analysis that augments treatment planning. A follow-up multisite study would provide the opportunity to test this analyzer in clinical sites with different practice workflows.

Qubit teleportation between non-neighbouring nodes in a quantum network

Future quantum internet applications will derive their power from the ability to share quantum information across the network^1,2. Quantum teleportation allows for the reliable transfer of quantum information between distant nodes, even in the presence of highly lossy network connections³. Although many experimental demonstrations have been performed on different quantum network platforms^4-10, moving beyond directly connected nodes has, so far, been hindered by the demanding requirements on the pre-shared remote entanglement, joint qubit readout and coherence times. Here we realize quantum teleportation between remote, non-neighbouring nodes in a quantum network. The network uses three optically connected nodes based on solid-state spin qubits. The teleporter is prepared by establishing remote entanglement on the two links, followed by entanglement swapping on the middle node and storage in a memory qubit. We demonstrate that, once successful preparation of the teleporter is heralded, arbitrary qubit states can be teleported with fidelity above the classical bound, even with unit efficiency. These results are enabled by key innovations in the qubit readout procedure, active memory qubit protection during entanglement generation and tailored heralding that reduces remote entanglement infidelities. Our work demonstrates a prime building block for future quantum networks and opens the door to exploring teleportation-based multi-node protocols and applications^2,11-13.

Association Between Nonsurgical Weight Loss From Body Mass Index >40 to Body Mass Index <40 and Complications and Readmissions Following Total Hip Arthroplasty

BACKGROUND

Elevated body mass index (BMI) is a risk factor for adverse outcomes following total hip arthroplasty (THA). It is unknown if preoperative weight loss to a BMI <40 kg/m² is associated with reduced risk of adverse outcomes.

METHODS

We retrospectively reviewed elective, primary THA performed at an academic center from 2015 to 2019. Patients were split into groups based on their BMI trajectory prior to THA: BMI consistently <40 ("BMI <40"); BMI >40 at the time of surgery ("BMI >40"); and BMI >40 within 2 years preoperatively, but <40 at the time of surgery ("Weight Loss"). Length of stay (LOS), 30-day readmissions, and complications as defined by Centers for Medicare and Medicaid Services were compared between groups using parsimonious regression models and Fisher's exact testing. Adjusted analyses controlled for sex, age, and American Society of Anesthesiologists class.

RESULTS

In total, 1589 patients were included (BMI <40: 1387, BMI >40: 96, Weight Loss: 106). The rate of complications in each group was 3.5%, 6.3%, and 8.5% and the rate of 30-day readmissions was 3.0%, 4.2%, and 7.5%, respectively. Compared to the BMI <40 group, the weight loss group had a significantly higher risk of 30-day readmission (odds ratio [OR] 2.70, 95% confidence interval [CI] 1.19-6.17, P = .02), higher risk of any complication (OR 2.47, 95% CI 1.09-5.59, P = .03), higher risk of mechanical complications (OR 3.07, 95% CI 1.14-8.25, P = .03), and longer median LOS (16% increase, P = .002). The BMI >40 group had increased median LOS (10% increase, P = .03), but no difference in readmission or complications (P > .05) compared to BMI <40.

CONCLUSION

Weight loss from BMI >40 to BMI <40 prior to THA was associated with increased risk of readmission and complications compared to BMI <40, whereas BMI >40 was not.

LEVEL OF EVIDENCE

Level III - Retrospective Cohort Study.

IgE-Based Therapeutic Combination Enhances Antitumor Response in Preclinical Models of Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) represents 3% of all cancer cases and 7% of all cancer deaths in the United States. Late diagnosis and inadequate response to standard chemotherapies contribute to an unfavorable prognosis and an overall 5-year survival rate of less than 10% in PDAC. Despite recent advances in tumor immunology, tumor-induced immunosuppression attenuates the immunotherapy response in PDAC. To date, studies have focused on IgG-based therapeutic strategies in PDAC. With the recent interest in IgE-based therapies in multiple solid tumors, we explored the MUC1-targeted IgE potential against pancreatic cancer. Our study demonstrates the notable expression of FceRI (receptor for IgE antibody) in tumors from PDAC patients. Our study showed that administration of MUC1 targeted-IgE (mouse/human chimeric anti-MUC1.IgE) antibody at intermittent levels in combination with checkpoint inhibitor (anti-PD-L1) and TLR3 agonist (PolyICLC) induces a robust antitumor response that is dependent on NK and CD8 T cells in pancreatic tumor-bearing mice. Subsequently, our study showed that the antigen specificity of the IgE antibody plays a vital role in executing the antitumor response as nonspecific IgE, induced by ovalbumin (OVA), failed to restrict tumor growth in pancreatic tumor-bearing mice. Utilizing the OVA-induced allergic asthma-PDAC model, we demonstrate that allergic phenotype induced by OVA cannot restrain pancreatic tumor growth in orthotopic tumor-bearing mice. Together, our data demonstrate the novel tumor protective benefits of tumor antigen-specific IgE-based therapeutics in a preclinical model of pancreatic cancer, which can open new avenues for future clinical interventions.

SARS-CoV-2 Cycle Thresholds, Poverty, Race, and Clinical Outcomes

BACKGROUND

Poverty and high viral load are associated with worse outcomes among COVID-19 patients.

METHODS

We included patients admitted to Froedtert Health between March 16 and June 1, 2020. SARS-CoV-2 viral load was proxied by cycle-threshold values. To measure poverty, we used Medicaid or uninsured status and residence in socially disadvantaged areas. We assessed the association between viral load and length of stay and discharge disposition, while controlling for demographics and confounders.

RESULTS

Higher viral load was associated with longer length of stay (coefficient -0.02; 95% CI, -0.04 to 0.01; P = 0.006) and higher likelihood of death (coefficient -0.11; 95% CI, -0.17 to -0.06; P < 0.001). Poverty, residence in disadvantaged areas, and race were not.

DISCUSSION

This study confirms a relationship of viral load with in-hospital death, even after controlling for race and poverty.

Validity of claims-based algorithms to identify neurodevelopmental disorders in children

PURPOSE

To validate healthcare claim-based algorithms for neurodevelopmental disorders (NDD) in children using medical records as the reference.

METHODS

Using a clinical data warehouse of patients receiving outpatient or inpatient care at two hospitals in Boston, we identified children (≤14 years between 2010 and 2014) with at least one of the following NDDs according to claims-based algorithms: autism spectrum disorder/pervasive developmental disorder (ASD), attention deficit disorder/other hyperkinetic syndromes of childhood (ADHD), learning disability, speech/language disorder, developmental coordination disorder (DCD), intellectual disability, and behavioral disorder. Fifty cases per outcome were randomly sampled and their medical records were independently reviewed by two physicians to adjudicate the outcome presence. Positive predictive values (PPVs) and 95% confidence intervals (CIs) were calculated.

RESULTS

PPVs were 94% (95% CI, 83%-99%) for ASD, 88% (76%-95%) for ADHD, 98% (89%-100%) for learning disability, 98% (89%-100%) for speech/language disorder, 82% (69%-91%) for intellectual disability, and 92% (81%-98%) for behavioral disorder. A total of 19 of the 50 algorithm-based cases of DCD were confirmed as severe coordination disorders with functional impairment, with a PPV of 38% (25%-53%). Among the 31 false-positive cases of DCD were 7 children with coordination deficits that did not persist throughout childhood, 7 with visual-motor integration deficits, 12 with coordination issues due to an underlying medical condition and 5 with ADHD and at least one other severe NDD.

CONCLUSIONS

PPVs were generally high (range: 82%-98%), suggesting that claims-based algorithms can be used to study NDDs. For DCD, additional criteria are needed to improve the classification of true cases.

Puerperium Stroke and Subsequent Tissue-Type Plasminogen Activator-Induced Hemorrhage: A Case Report

We report a case of ischemic stroke in an apparently healthy 35-year-old gravida 2 para 1 who was treated with tissue-type plasminogen activator (tPA) 9 hours after vaginal delivery that resulted in severe hemorrhage. Limited data suggest use of thrombolytics in pregnancy is safe, but there is a paucity of evidence assessing their use immediately postpartum. We describe successful combination of tPA with endovascular mechanical thrombectomy (EMT) for treatment of postpartum stroke, which was followed by extensive uterine bleeding.

Transmission Dynamics of Clostridioides difficile in 2 High-Acuity Hospital Units

BACKGROUND

The key epidemiological drivers of Clostridioides difficile transmission are not well understood. We estimated epidemiological parameters to characterize variation in C. difficile transmission, while accounting for the imperfect nature of surveillance tests.

METHODS

We conducted a retrospective analysis of C. difficile surveillance tests for patients admitted to a bone marrow transplant (BMT) unit or a solid tumor unit (STU) in a 565-bed tertiary hospital. We constructed a transmission model for estimating key parameters, including admission prevalence, transmission rate, and duration of colonization to understand the potential variation in C. difficile dynamics between these 2 units.

RESULTS

A combined 2425 patients had 5491 admissions into 1 of the 2 units. A total of 3559 surveillance tests were collected from 1394 patients, with 11% of the surveillance tests being positive for C. difficile. We estimate that the transmission rate in the BMT unit was nearly 3-fold higher at 0.29 acquisitions per percentage colonized per 1000 days, compared to our estimate in the STU (0.10). Our model suggests that 20% of individuals admitted into either the STU or BMT unit were colonized with C. difficile at the time of admission. In contrast, the percentage of surveillance tests that were positive within 1 day of admission to either unit for C. difficile was 13.4%, with 15.4% in the STU and 11.6% in the BMT unit.

CONCLUSIONS

Although prevalence was similar between the units, there were important differences in the rates of transmission and clearance. Influential factors may include antimicrobial exposure or other patient-care factors.

Realization of a multinode quantum network of remote solid-state qubits

The distribution of entangled states across the nodes of a future quantum internet will unlock fundamentally new technologies. Here, we report on the realization of a three-node entanglement-based quantum network. We combine remote quantum nodes based on diamond communication qubits into a scalable phase-stabilized architecture, supplemented with a robust memory qubit and local quantum logic. In addition, we achieve real-time communication and feed-forward gate operations across the network. We demonstrate two quantum network protocols without postselection: the distribution of genuine multipartite entangled states across the three nodes and entanglement swapping through an intermediary node. Our work establishes a key platform for exploring, testing, and developing multinode quantum network protocols and a quantum network control stack.

Addressing depression and behavioral health needs through a digital program at scale

Depression and anxiety disorders are prevalent mental health conditions; yet they are often unrecognized, under-addressed and/or under-treated, and specialty treatment for these conditions is oftentimes difficult to access. By acting either as a bridge to therapy or as a form of therapy, digital tools, such as those that provide internet-based cognitive behavioral therapy (iCBT), may help clinicians support their patients' mental health needs. At one academic health system, a digital mental health program was deployed in primary care and outpatient behavioral health programs to help patients meet needs identified through screening or clinical visits. Over the first two years of operation, 138 clinicians (40% of eligible clinicians) prescribed the program to 2,228 unique patients, from which 1,117 (48.9%) enrolled. Patients who enrolled tended to be younger and healthier than non-enrollees. On average, enrolled patients spent 114.6 minutes within the iCBT program. Clinical improvement was assessed using pre- and post PHQ-9 and GAD-7 scores for depression and anxiety, respectively. Pre/Post scores were compared using Wilcoxon Rank Sum test. Patients with at least moderate depression had an average 23% reduction in PHQ-9 scores (median change -3(interquartile range 7), p<0.001) and those with at least moderate anxiety had a 26% reduction in GAD-7 scores (-4(7), p<0.001). Improvements were clinically and statistically significant. Future steps include performing a cost analysis to understand whether models utilizing iCBT are net cost-saving for health systems.

Decrease in Positivity Rate of Influenza Tests Coinciding With Outbreak of SARS-CoV-2: Data From a Southeastern Wisconsin Laboratory

BACKGROUND

The SARS-CoV-2 outbreak prompted public health interventions and changes in public behavior that may have affected the 2019-2020 influenza season.

METHODS

Using data from a laboratory in southeastern Wisconsin, we compared the number of weekly influenza tests and their positivity rates during the 2019-2020 influenza season with the previous 4 seasons.

RESULTS

The number of influenza tests per week at the outset of the SARS-CoV-2 outbreak was higher than the average the previous 4 years, and positivity rates declined to 0% earlier than any of the previous 4 seasons.

CONCLUSION

The testing trajectory and positivity rate for influenza differed during the part of the 2019-2020 season coinciding with the SARS-CoV-2 outbreak as compared to similar periods during the previous 4 seasons.

Orbital and Spin Dynamics of Single Neutrally-Charged Nitrogen-Vacancy Centers in Diamond

The neutral charge state plays an important role in quantum information and sensing applications based on nitrogen-vacancy centers. However, the orbital and spin dynamics remain unexplored. Here, we use resonant excitation of single centers to directly reveal the fine structure, enabling selective addressing of spin-orbit states. Through pump-probe experiments, we find the orbital relaxation time (430 ns at 4.7 K) and measure its temperature dependence up to 11.8 K. Finally, we reveal the spin relaxation time (1.5 s) and realize projective high-fidelity single-shot readout of the spin state (≥98%).

Racial Disparities in Incidence and Outcomes Among Patients With COVID-19

IMPORTANCE

Initial public health data show that Black race may be a risk factor for worse outcomes of coronavirus disease 2019 (COVID-19).

OBJECTIVE

To characterize the association of race with incidence and outcomes of COVID-19, while controlling for age, sex, socioeconomic status, and comorbidities.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study included 2595 consecutive adults tested for COVID-19 from March 12 to March 31, 2020, at Froedtert Health and Medical College of Wisconsin (Milwaukee), the largest academic system in Wisconsin, with 879 inpatient beds (of which 128 are intensive care unit beds).

EXPOSURES

Race (Black vs White, Native Hawaiian or Pacific Islander, Native American or Alaska Native, Asian, or unknown).

MAIN OUTCOMES AND MEASURES

Main outcomes included COVID-19 positivity, hospitalization, intensive care unit admission, mechanical ventilation, and death. Additional independent variables measured and tested included socioeconomic status, sex, and comorbidities. Reverse transcription polymerase chain reaction assay was used to test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

RESULTS

A total of 2595 patients were included. The mean (SD) age was 53.8 (17.5) years, 978 (37.7%) were men, and 785 (30.2%) were African American patients. Of the 369 patients (14.2%) who tested positive for COVID-19, 170 (46.1%) were men, 148 (40.1%) were aged 60 years or older, and 218 (59.1%) were African American individuals. Positive tests were associated with Black race (odds ratio [OR], 5.37; 95% CI, 3.94-7.29; P = .001), male sex (OR, 1.55; 95% CI, 1.21-2.00; P = .001), and age 60 years or older (OR, 2.04; 95% CI, 1.53-2.73; P = .001). Zip code of residence explained 79% of the overall variance in COVID-19 positivity in the cohort (ρ = 0.79; 95% CI, 0.58-0.91). Adjusting for zip code of residence, Black race (OR, 1.85; 95% CI, 1.00-3.65; P = .04) and poverty (OR, 3.84; 95% CI, 1.20-12.30; P = .02) were associated with hospitalization. Poverty (OR, 3.58; 95% CI, 1.08-11.80; P = .04) but not Black race (OR, 1.52; 95% CI, 0.75-3.07; P = .24) was associated with intensive care unit admission. Overall, 20 (17.2%) deaths associated with COVID-19 were reported. Shortness of breath at presentation (OR, 10.67; 95% CI, 1.52-25.54; P = .02), higher body mass index (OR per unit of body mass index, 1.19; 95% CI, 1.05-1.35; P = .006), and age 60 years or older (OR, 22.79; 95% CI, 3.38-53.81; P = .001) were associated with an increased likelihood of death.

CONCLUSIONS AND RELEVANCE

In this cross-sectional study of adults tested for COVID-19 in a large midwestern academic health system, COVID-19 positivity was associated with Black race. Among patients with COVID-19, both race and poverty were associated with higher risk of hospitalization, but only poverty was associated with higher risk of intensive care unit admission. These findings can be helpful in targeting mitigation strategies for racial disparities in the incidence and outcomes of COVID-19.

Location as Destiny: Identifying Geospatial Disparities in Radiation Treatment Interruption by Neighborhood, Race, and Insurance

PURPOSE

Radiation therapy interruption (RTI) worsens cancer outcomes. Our purpose was to benchmark and map RTI across a region in the United States with known cancer outcome disparities.

METHODS AND MATERIALS

All radiation therapy (RT) treatments at our academic center were cataloged. Major RTI was defined as ≥5 unplanned RT appointment cancellations. Univariate and multivariable logistic and linear regression analyses identified associated factors. Major RTI was mapped by patient residence. A 2-sided P value <.0001 was considered statistically significant.

RESULTS

Between 2015 and 2017, a total of 3754 patients received RT, of whom 3744 were eligible for analysis: 962 patients (25.8%) had ≥2 RT interruptions and 337 patients (9%) had major RTI. Disparities in major RTI were seen across Medicaid versus commercial/Medicare insurance (22.5% vs 7.2%; P < .0001), low versus high predicted income (13.0% vs 5.9%; P < .0001), Black versus White race (12.0% vs 6.6%; P < .0001), and urban versus suburban treatment location (12.0% vs 6.3%; P < .0001). On multivariable analysis, increased odds of major RTI were seen for Medicaid patients (odds ratio [OR], 3.35; 95% confidence interval [CI], 2.25-5.00; P < .0001) versus those with commercial/Medicare insurance and for head and neck (OR, 3.74; 95% CI, 2.56-5.46; P < .0001), gynecologic (OR, 3.28; 95% CI, 2.09-5.15; P < .0001), and lung cancers (OR, 3.12; 95% CI, 1.96-4.97; P < .0001) compared with breast cancer. Major RTI was mapped to urban, majority Black, low-income neighborhoods and to rural, majority White, low-income regions.

CONCLUSIONS

Radiation treatment interruption disproportionately affects financially and socially vulnerable patient populations and maps to high-poverty neighborhoods. Geospatial mapping affords an opportunity to correlate RT access on a neighborhood level to inform potential intervention strategies.

Abstract A124: Neighborhood, race and insurance predict for hospital admission during radiation therapy

Background: Hospital admission during radiotherapy (ADRT) is associated with increased cost, interrupted treatment, and inferior outcomes. The purpose of this study was to benchmark patient ADRT rates, define socioeconomic predictors for ADRT, and geographically map ADRT rates on the neighborhood level across a large Mid-Southern catchment region served by a single academic cancer referral center. Methods: Demographic, clinical and treatment information were collected for all patients treated with radiation therapy (RT) at our center from January 1, 2015 to December 31, 2017. Occurrence of ADRT included inpatient and emergency room admissions. ADRT was categorized as causing “minor interruption” if ADRT was associated with postponement in 1-4 RT treatments. “Major interruption” was defined as postponement in 5 or more treatments. Patients with Medicaid or no insurance were categorized as “At-Risk”. Patient predicted income (PPI) was modeled using 2017 US Census data for annual household income by patient residence census tract, categorized into low (&lt;$34k), middle, and high (&gt;$67k) thirds. ADRT rates were compared across variables, analyzed using Pearson’s Chi square testing, and geomapped by patient residence at the neighborhood (census tract) level. Results: 3,729 patients were included. 2,032 (54.5%) were Caucasian, 1,577 African American (42.3%), and 120 (3.2%) other. Insurance status was defined as Commercial, Medicare, or At Risk in 1,794 (48.1%), 1,503 (40.3%), and 432 (11.6%) patients. The mean PPI was $49,951 (range $10,871-$177,857). A total of 83,306 fractions (median 24, IQR 11-30) were delivered with 7,107 (8.5%) total interruptions. 727 interruptions (mean 0.19, range 0-21) were due to ADRT in 197 patients (5.3%). Minor interruption rates were significantly elevated in At Risk patients v. those with Commercial or Medicare insurance (7.4% v 3.5% p=&lt;0.0001; OR 2.21 [95%CI 1.47-3.31]), African American v. Caucasian patients (5.1% v 3.1% p=0.002; OR 1.66 [95%CI 1.19-2.32]), and low PPI v. high PPI patients (5.2% v 2.5% p=&lt;0.0005; OR 2.17 [95%CI 1.39-3.39]). Major interruption rates were similar across all groups: At Risk v. Commercial or Medicare insurance (1.6% v 1.2% p=0.591; OR 1.25 [95%CI 0.55-2.79]), African American v. Caucasian ([1.3% v 1.4% p=0.74; OR 0.91 [95%CI 0.51-1.61]), and low PPI v. high PPI (1.4% v 1.3% p=0.93; OR 1.03 [95%CI 0.52-2.05]). Elevated minor interruption rates were geographically associated with low income, predominately African American neighborhoods across our treatment region. Conclusion: At our high-volume academic radiotherapy practice, hospital admission during RT correlated significantly with uninsured or Medicaid coverage status, African American race, and low predicted income and mapped to low income neighborhoods, suggesting limited care access for these populations. Major hotspot locations have been identified, setting the stage for targeted studies to close gaps in RT quality.

Citation Format: Daniel V Wakefield, Matthew Carnell, Bo Jiang, Austin Dove, Wesley Garner, Drucilla Edmonston, Adam Hubler, Esra Ozdenerol, Ryan Hanson, Maria Pisu, David L Schwartz, David L Schwarts. Neighborhood, race and insurance predict for hospital admission during radiation therapy [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr A124.

Association Between Environmental Factors and Toxigenic Clostridioides difficile Carriage at Hospital Admission

IMPORTANCE

Clostridioides difficile infection is the most frequent health care-associated infection in the United States. However, exposure to this organism might occur outside the health care setting.

OBJECTIVE

To examine whether exposure to environmental factors, such as livestock farms, is associated with a higher probability of being colonized with C difficile at hospital admission.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study was conducted from May 1, 2017, to June 30, 2018, at a teaching-affiliated hospital in Milwaukee, Wisconsin. All consecutive patients underwent C difficile screening using a nucleic acid amplification test at hospital admission. Data analyses were performed from July 2018 to October 2019.

EXPOSURES

The distances from patient residence to the nearest livestock farms, meat processing plants, raw materials services, and sewage facilities were measured in addition to risk factors previously evaluated in other studies.

MAIN OUTCOMES AND MEASURES

The main outcome was a positive result on C difficile screening tests performed within 72 hours of hospital admission.

RESULTS

A total of 3043 patients admitted to the hospital were included in the final analysis. Of those, 1564 (51.4%) were women and 2074 (68.9%) were white, with a mean (SD) age of 62.0 (15.9) years; 978 patients (32.1%) were admitted to hematology-oncology units. At first admission, 318 patients (10.4%) were detected through testing as C difficile carriers. Multivariable logistic regression analyses were performed on a stratified sample of patients based on hematology-oncology admission status. These analyses indicated that although patients admitted to hematology-oncology units were 35% more likely to be colonized with C difficile, no significant association existed between their sociodemographic and economic characteristics or health care and environmental exposures and the likelihood of a positive C difficile test result. In contrast, among patients admitted to non-hematology-oncology units, comorbidities increased the likelihood for colonization by more than 4 times; women had 60% greater colonization than men, and a history of recent hospitalization (ie, within the preceding 6 months) increased the likelihood of colonization by 70%. Residential proximity to livestock farms were all significantly associated with a higher likelihood of a positive C difficile test result. Residential proximity to livestock farms more than doubled the probability of C difficile colonization in patients admitted to non-hematology-oncology units.

CONCLUSIONS AND RELEVANCE

A shorter distance between residence and livestock farms was associated with C difficile colonization. Knowledge of the epidemiology of C difficile in the community surrounding the hospital is important, as it has potential implications for the incidence of hospital-onset C difficile infection.

MSTO1 mutations cause mtDNA depletion, manifesting as muscular dystrophy with cerebellar involvement

MSTO1 encodes a cytosolic mitochondrial fusion protein, misato homolog 1 or MSTO1. While the full genotype–phenotype spectrum remains to be explored, pathogenic variants in MSTO1 have recently been reported in a small number of patients presenting with a phenotype of cerebellar ataxia, congenital muscle involvement with histologic findings ranging from myopathic to dystrophic and pigmentary retinopathy. The proposed underlying pathogenic mechanism of MSTO1-related disease is suggestive of impaired mitochondrial fusion secondary to a loss of function of MSTO1. Disorders of mitochondrial fusion and fission have been shown to also lead to mitochondrial DNA (mtDNA) depletion, linking them to the mtDNA depletion syndromes, a clinically and genetically diverse class of mitochondrial diseases characterized by a reduction of cellular mtDNA content. However, the consequences of pathogenic variants in MSTO1 on mtDNA maintenance remain poorly understood. We present extensive phenotypic and genetic data from 12 independent families, including 15 new patients harbouring a broad array of bi-allelic MSTO1 pathogenic variants, and we provide functional characterization from seven MSTO1-related disease patient fibroblasts. Bi-allelic loss-of-function variants in MSTO1 manifest clinically with a remarkably consistent phenotype of childhood-onset muscular dystrophy, corticospinal tract dysfunction and early-onset non-progressive cerebellar atrophy. MSTO1 protein was not detectable in the cultured fibroblasts of all seven patients evaluated, suggesting that pathogenic variants result in a loss of protein expression and/or affect protein stability. Consistent with impaired mitochondrial fusion, mitochondrial networks in fibroblasts were found to be fragmented. Furthermore, all fibroblasts were found to have depletion of mtDNA ranging from 30 to 70% along with alterations to mtDNA nucleoids. Our data corroborate the role of MSTO1 as a mitochondrial fusion protein and highlight a previously unrecognized link to mtDNA regulation. As impaired mitochondrial fusion is a recognized cause of mtDNA depletion syndromes, this novel link to mtDNA depletion in patient fibroblasts suggests that MSTO1-deficiency should also be considered a mtDNA depletion syndrome. Thus, we provide mechanistic insight into the disease pathogenesis associated with MSTO1 mutations and further define the clinical spectrum and the natural history of MSTO1-related disease.