Retrospective review of food insecurity screening in an outpatient stroke clinic using electronic and paper-based surveys.

Objective: To assess the feasibility of administrating an electronic and paper-based food insecurity screener among patients presenting to a stroke clinic during the study period. We aimed to ensure a consecutive sample for our retrospective analysis and evaluate the prevalence and characteristics of food insecurity in this population. Materials and methods: We conducted a retrospective review of patients with an initial telemedicine or in-person appointment to a stroke outpatient clinic between February 1 and July 31, 2021. Prior to their initial visit, patients were sent an electronic questionnaire to screen for food insecurity using the 2-item Hunger Vital Sign™ and to collect socio-demographic characteristics. Patients who were evaluated in-person were given a paper questionnaire if the electronic version was not completed upon clinic appointment. We collected data on patient demographics, screener completion rates, and the prevalence of food insecurity. The feasibility was evaluated by comparing the amount of missing data between electronic and paper-based screeners. Results: Among 406 adult stroke survivors, 365 (89.9 %) completed the food insecurity screener, with 234 (64.1 %) completing it electronically and 131 (35.9 %) by paper. Overall, 14.3 % of the stroke patients experienced food insecurity. A higher prevalence of food insecurity was observed among patients who completed paper-based compared to electronic questionnaires (21.4 % vs 10.2 %, p = 0.004). Hispanic patients were more likely to complete paper-based questionnaires (32.1 %) compared to electronic questionnaires (18.0 %, p = 0.011). Patients with a 12th grade education or less were more likely to complete paper-based (49.5 %) vs. electronic questionnaires (36.4 %, p = 0.029). Feasibility was evaluated by comparing the amount of missing data between the screener delivery modalities. A higher percentage of socio-demographic characteristics was missing in the paper-based questionnaires compared to electronic questionnaires (105.3 % vs. 14.11 %). Conclusions: Sample characteristics differ based on the mode of questionnaire delivery, suggesting that different screening modalities may be necessary to identify patients at the highest risk for food insecurity. Our study provides detailed insights into the feasibility of using electronic and paper-based screeners in a clinical setting, highlighting the importance of considering delivery methods in food insecurity assessments. It is important to note that the Spanish language electronic survey was only available during the last two months of the study, which may affect the findings regarding Hispanic patients' preference for paper surveys.

"My addiction doesn't define me": Healing from the stigma of addiction for mothers with opioid use disorder.

BACKGROUND: About 1 in 8 children under age 17 live with a parent who has a substance use disorder. Research on treatment access identifies stigma as a significant barrier to treatment, particularly among mothers with young children. Well-meaning but punitive state policies further perpetuate stigma, which harms families and children. PURPOSE/HYPOTHESIS: Explore the experiences of the stigma of addiction on mothers before, during and after treatment for substance use disorder. Procedures/data/observations: Descriptive Phenomenology was used to describe the experiences of stigma of mothers with opioid use disorder (OUD) through all stages of treatment and recovery. Mothers (n=20) participating in an outpatient treatment program interviewed. A semi-structured interview schedule was used to guide the interviews and thematic analysis was used identify themes related to stigma. CONCLUSIONS/APPLICATIONS: Our analysis identified several main themes and subthemes related to internal and external sigma, including stigma against medication for opioid use dis order, stigma from the public and healthcare professionals, internalized shame, and how mothers learned to recover and heal from stigma.

Shift in emergency department utilization by frequent attendees with sickle cell disease during the COVID-19 pandemic: A multicentre cohort study.

While the coronavirus disease-2019 (COVID-19) might have increased acute episodes in people living with sickle cell disease (SCD), it may also have changed their reliance on emergency department (ED) services. We assessed the impact of the COVID-19 pandemic and lockdowns on ED visits in adult SCD people followed in five French reference centres, with a special focus on 'high users' (≥10 visits in 2019). We analysed the rate of ED visits from 1 January 2015 to 31 December 2021, using a self-controlled case series. Among 1530 people (17 829 ED visits), we observed a significant reduction in ED visits during and after lockdowns, but the effect vanished over time. Compared to pre-pandemic, incidence rate ratios for ED visits were 0.59 [95% CI 0.52-0.67] for the first lockdown, 0.66 [95% CI 0.58-0.75] for the second and 0.85 [95% CI 0.73-0.99] for the third. High users (4% of people but 33.7% of visits) mainly drove the reductions after the first lockdown. COVID-19 lockdowns were associated with reduced ED visits. While most people returned to their baseline utilization by April 2021, high users had a lasting decrease in ED visits. Understanding the factors driving the drop in ED utilization among high users might inform clinical practice and health policy.

Disposition Outcomes Following Prehospital Use of Naloxone in a Large Metropolitan City in the United States.

OBJECTIVES: During a drug overdose, research suggests individuals may not call 9-1-1 out of fear of criminal justice concerns. Of those that call, research is inconclusive about the disposition of the emergency transport. We evaluated transport outcomes for adults with opioid-related overdose in the Emergency Medical Services (EMS) of a large metropolitan city in the United States. METHODS: We reviewed the EMS incident report database from the patient care record system for years 2018 to 2022. We queried all records, searching for relevant terms, and two reviewers cross-checked the database to identify cases that did not result in death at the scene. Study outcome was defined as hospital transportation or no transportation. Multivariable logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (95% CI) for hospital transport with patient age, sex, race and ethnicity as the independent variables. RESULTS: We identified 5,482 cases of nonfatal opioid-related overdose. Of these, 4,984 (90.9%) were transported to the hospital; 37 (0.7%) were placed in police custody; 304 (5.5%) were not transferred; and 157 (2.9%) had unknown outcomes. Among 5,288 with data on the transport outcome, the majority were male (65%), and the highest proportion were White (39%). Compared to those who were not transported, each 1-year increase in age was related to a 2% increase in the odds of transportation (OR: 1.02, 95% CI: 1.01-1.02). Compared to White patients, Black and Hispanic patients were 43% OR: 1.43, 95% CI: 1.07-1.90) and 44% (OR: 1.44, 95% CI: 1.03-2.00) more likely to be transported. CONCLUSIONS: Individuals with suspected opioid-related overdose who call 9-1-1 are most often transported to the hospital. Current EMS procedures are successful at on-scene treatment and transportation; however, data on the long-term impact of opioid-related overdoses are still needed.

Pace of Aging in older adults matters for healthspan and lifespan.

As societies age, policy makers need tools to understand how demographic aging will affect population health and to develop programs to increase healthspan. The current metrics used for policy analysis do not distinguish differences caused by early-life factors, such as prenatal care and nutrition, from those caused by ongoing changes in people's bodies due to aging. Here we introduce an adapted Pace of Aging method designed to quantify differences between individuals and populations in the speed of aging-related health declines. The adapted Pace of Aging method, implemented in data from N=13,626 older adults in the US Health and Retirement Study, integrates longitudinal data on blood biomarkers, physical measurements, and functional tests. It reveals stark differences in rates of aging between population subgroups and demonstrates strong and consistent prospective associations with incident morbidity, disability, and mortality. Pace of Aging can advance the population science of healthy longevity.

How Financial Beliefs and Behaviors Influence the Financial Health of Individuals Struggling with Opioid Use Disorder.

The surge in opioid use disorder (OUD) over the past decade escalated opioid overdoses to a leading cause of death in the United States. With adverse effects on cognition, risk-taking, and decision-making, OUD may negatively influence financial well-being. This study examined the financial health of individuals diagnosed with OUD by reviewing financial beliefs and financial behaviors. We evaluated quality of life, perceptions of financial condition during active use and recovery, and total debt. We distributed a 20-item survey to 150 individuals in an outpatient treatment program for OUD in a large metropolitan area, yielding a 56% response rate. The results revealed low overall financial health, with a median debt of USD 12,961 and a quality-of-life score of 72.80, 9.4% lower than the U.S. average (82.10). Most participants (65.75%) reported improved financial health during recovery, while a higher majority (79.45%) worsened during active use. Unemployment affected 42% of respondents, and 9.52% were employed only part-time. Regression analysis highlighted a strong association between lack of full-time employment and a lack of financial advising with total debt. High financial anxiety and active use were associated with lower quality of life. Individuals with OUD may benefit from financial interventions, resources, and counseling to improve their financial health.

Roles of Hospital Type and Community Setting in Rate of Screening for Metabolic Disorders Among Psychiatric Patients.

OBJECTIVE: Globally, rates of metabolic disorders continue to climb, leading to significant disease morbidity and mortality. Individuals with mental illness are particularly prone to obesity, and some medications, such as antipsychotics, may increase the risk for metabolic disorders. The American Psychiatric Association and the American Diabetes Association recommend that patients taking antipsychotic medications receive regular screening for metabolic disorders. This study examined hospital and community factors associated with screening these patients for such disorders. METHODS: The authors combined Centers for Medicare and Medicaid Services (CMS) hospital-level data on screening for metabolic disorders among patients with an antipsychotic prescription with community data, including urbanization classification, social vulnerability, and metabolic disease presence and risk factors. Data were merged at the county level and evaluated with a nonparametric multivariate regression model. RESULTS: The CMS data set included 1,497 U.S. hospitals with data on screening for metabolic disorders among patients with an antipsychotic prescription. Screening rates varied by type of facility; acute care and critical access hospitals outperformed freestanding psychiatric facilities (p<0.001). No other variables examined in the multivariate model were associated with screening for metabolic disorders. CONCLUSIONS: Despite common resource limitations, screening for metabolic disorders may be driven more by logistics and less by time, finances, or a community's primary care network. Identifying the specific logistical challenges of freestanding psychiatric facilities could aid in the development of targeted interventions to improve the rates of screening for and treatment of not only metabolic disorders but also other common comorbid conditions.

"I Just Don't Feel Heard": A Case Study on Opioid Use Disorder and Pain Management.

The nation's opioid epidemic requires a paradigm shift in the way patients with co-occurring opioid use disorder are treated during episodes of acute pain. Patients are often introduced to prescription opioids after an extremity fracture or sprain or resulting from musculoskeletal back, abdominal, or dental pain. Opioid naive patients who receive their first opioid prescription on discharge from the emergency department may be more likely to develop chronic opioid use compared to patients receiving non-opioid pain medications. This case report will highlight one patient's journey including initial prescription opioid use, escalation into illicit opioids, entry to a recovery and treatment program, discussions with her physician about alternative therapies, and barriers to satisfactory pain relief. A shared decision-making model will be explored.

AI-aided holographic flow cytometry for label-free identification of ovarian cancer cells in the presence of unbalanced datasets.

Liquid biopsy is a valuable emerging alternative to tissue biopsy with great potential in the noninvasive early diagnostics of cancer. Liquid biopsy based on single cell analysis can be a powerful approach to identify circulating tumor cells (CTCs) in the bloodstream and could provide new opportunities to be implemented in routine screening programs. Since CTCs are very rare, the accurate classification based on high-throughput and highly informative microscopy methods should minimize the false negative rates. Here, we show that holographic flow cytometry is a valuable instrument to obtain quantitative phase-contrast maps as input data for artificial intelligence (AI)-based classifiers. We tackle the problem of discriminating between A2780 ovarian cancer cells and THP1 monocyte cells based on the phase-contrast images obtained in flow cytometry mode. We compare conventional machine learning analysis and deep learning architectures in the non-ideal case of having a dataset with unbalanced populations for the AI training step. The results show the capacity of AI-aided holographic flow cytometry to discriminate between the two cell lines and highlight the important role played by the phase-contrast signature of the cells to guarantee accurate classification.

Shared Decision Making in Acute Pain Management in Patients with Opioid Use Disorder: A Scoping Review.

The treatment of acute pain over the years has changed with increasing alternative therapies and increased scrutiny of opioid prescriptions. Shared Decision Making (SDM) has become a vital tool in increasing patient engagement and satisfaction in treatment decisions. SDM has been successfully implemented in the management of pain in a variety of settings; however, information regarding the use of SDM for treating acute pain in patients with a history of opioid use disorder (OUD) remains scarce. Following the Preferred Reporting Items for Systematic Reviews and Meta-analysis Extension for Scoping Reviews (PRISMA-ScR), we conducted a review to understand how SDM is used in acute pain management in patients with OUD. We searched Medline, Embase, CINAHL, and PsychInfo databases for relevant articles. Articles were screened and SDM outcomes of eligible articles were charted. The results were grouped by sub-theme based on a 1997 SDM model. There were three original research studies and one quality improvement study. The remaining articles were split evenly between reviews and reviews of clinical guidelines. Four themes emerged from the review: prior judgment and stigma related to OUD, trust and sharing of information, clinical tools, and interprofessional teams. This scoping review consolidated and expounded the current literature on SDM in the management of acute pain in patients with OUD. More work is needed to address prior judgments by both providers and patients and to build greater dialogue. Clinical tools may aid this process as well as the involvement of a multidisciplinary team.

Atezolizumab-induced psoriasiform drug eruption successfully treated with ixekizumab: a case report and literature review.

Immune-related cutaneous adverse events (ircAE) are commonly seen with immune checkpoint inhibitors such as atezolizumab. Atezolizumab-induced psoriasis has been previously reported as an ircAE, especially in patients with pre-existing psoriasis. The severity of the reaction influences treatment of the cutaneous eruption. Biologics should be considered as a treatment option for severe refractory psoriasiform eruptions even in patients with complex medical conditions like chronic infections and malignancy. This is the first reported case of successful treatment of atezolizumab-induced psoriasiform eruption with ixekizumab, a neutralizing IL17A monoclonal antibody, to the best of our knowledge. Herein, we present a 63-year-old man with a history of human immunodeficiency virus and psoriasis who presented with atezolizumab-induced psoriasiform eruption while being treated for metastatic hepatocellular carcinoma. After initiating ixekizumab, atezolizumab was restarted without cutaneous eruption.

Inpatient target discharge weight for early-onset anorexia nervosa: Restoring premorbid BMI percentile to improve height prognosis.

OBJECTIVE: Early-onset anorexia nervosa (EO-AN) is characterized by restricted food intake leading to low body weight, emerging before 14 years old. Most patients reaching a target body mass index (BMI) around the 25th percentile at hospitalization discharge display an incomplete prospective height catch-up. A better understanding of height prognosis determinants is required. METHODS: In 74 children with an EO-AN, we collected height and weight premorbidly, at hospitalization, and at discharge, 6 months, 12 months, and at longer-term follow-up of 36 months. We defined a height prognosis parameter (HPP) as the difference between the height percentile at follow-up times and the premorbid height percentile. We explored the relationship between weight parameters and height catch-up at follow-up with linear regression analyses. RESULTS: A higher weight suppression (WS) - i.e., difference between premorbid and current BMI - at admission and discharge was associated with lower HPP - i.e., a greater loss of height - at 12 months and 36 months follow-up. Similarly, a higher premorbid BMI percentile was associated with a lower HPP at 12 and 36 months. CONCLUSION: Target discharge weight for EO-AN patients should be tailored and based on premorbid BMI trajectory to improve height prognosis.

Immunology of Aging: the Birth of Inflammaging.

The inflammaging concept was introduced in 2000 by Prof. Franceschi. This was an evolutionary or rather a revolutionary conceptualization of the immune changes in response to a lifelong stress. This conceptualization permitted to consider the lifelong proinflammatory process as an adaptation which could eventually lead to either beneficial or detrimental consequences. This dichotomy is influenced by both the genetics and the environment. Depending on which way prevails in an individual, the outcome may be healthy longevity or pathological aging burdened with aging-related diseases. The concept of inflammaging has also revealed the complex, systemic nature of aging. Thus, this conceptualization opens the way to consider age-related processes in their complexity, meaning that not only the process but also all counter-processes should be considered. It has also opened the way to add new concepts to the original one, leading to better understanding of the nature of inflammaging and of aging itself. Finally, it showed the way towards potential multimodal interventions involving a holistic approach to optimize the aging process towards a healthy longevity.