Radiotherapy Access and Treatment in Rwanda: Demographics and Clinical Characteristics of Cervical Cancer Patients

PURPOSE/OBJECTIVE(S)

Nearly all cervical cancer deaths occur in low- and middle-income countries (LMIC), and in Rwanda, cervical cancer is the leading cause of cancer mortality among women. In 2018, Rwanda Cancer Center (RCC) opened as the first place to offer radiotherapy (RT) for cervical cancer treatment in the country. This study aims to characterize patient demographic and clinical characteristics, access to care, and predictors associated with treatment initiation.

MATERIALS/METHODS

This study was conducted at RCC in Kigali. Between 2019 and 2022, patients who received radiotherapy were included; data were extracted from electronic medical records, including demographics, medical history, cancer information, pre-RT imaging, RT information, and toxicities. Descriptive statistics were used to summarize patient characteristics; chi-square and t-tests were used to test any distribution differences. Time to treatment initiation (TTI, time from biopsy to first RT session) was dichotomized as ≤45 vs. >45 days) and multivariable logistic regression was used to find predictors of TTI.

RESULTS

Of the 620 women who presented with cervical cancer, 428 (69%) were treated with radiotherapy (External Beam Radiotherapy using Volumetric Modulated Arc Therapy). The average patient's age was 55.4 years (+/-11.4), and the median distance traveled was 87.7 km (IQR: 37.0-140.0). Nearly 88% used community-based (government) insurance (CBHI, either 0% and 10% copay category); 21.9% were known to be living with HIV. 66.9% of patients presented with stage 3 or 4 disease. Of the patients receiving RT, 357 (83%) received chemotherapy. Predictors of TTI (≤45 days) were travel distance and insurance type. The odds of early TTI (≤45 days) decreased by 27% per 1 log kilometer increase. Patients using CBHI insurance had 54% lesser odds of early TTI than others.

CONCLUSION

RCC has built a capacity to provide advanced radiation treatment to cancer patients in Rwanda and surrounding LMIC countries. Despite the COVID-19 pandemic, RCC has treated nearly 500 patients already. This study is the first to document these patient characteristics; results suggest that longer travel distance and public insurance are major factors for longer treatment initiation. Strategies to identify barriers to screening for early cancer detection and expediting treatment initiation are ongoing.

Small molecule targeting of the p38/Mk2 stress signaling pathways to improve cancer treatment

PURPOSE

Although a long-term goal of cancer therapy always has been the development of agents that selectively destroy cancer cells, more recent trends have been to seek secondary agents that sensitize cancer cells to existing treatment regimens. In this regard, the present study explored the possibility of using small molecule inhibitors of p38MAPK/MK2 stress signaling pathways as potential agents to enhance the sensitivity of cancer cells with abrogated G1 checkpoint to the DNA damaging agent etoposide by specifically targeting the DNA damage-induced G2 cell cycle checkpoint.

METHODS

We have applied CCK8 and FACS-based viability assays and cell cycle analysis to investigate the effect of small molecules SB203580 and MK2.III on the sensitivity of small cell lung cancer cells (SCLC) that lack the G1 checkpoint to the DNA damaging agent Etoposide when used in combination. We have also assessed the effectiveness of combination chemotherapy on tumor xenograft suppression with etoposide and MK2.III in immunosuppressed mice. In addition, additional CCK8 cell viability analysis of the MDA-MB-231 breast cancer cell line, and SW620, and SW480 colorectal cancer cell lines was performed.

RESULTS

Results suggest that etoposide produces a profound effect on the cell cycle profile of cells in a manner that is consistent with the degree of cell viability that is seen using the viable cell assay. Results of the co-treatment experiments revealed that the p38/MK2 kinase inhibitors SB203580 and MK2.III both enhanced the DNA-damaging effects of etoposide on NCI-H69 cell viability in vitro. Results revealed that in vivo MK2.III was able to act as a chemosensitizer when used in combination with etoposide making NCI-H69 lung cancer cells sensitive to chemotherapeutic drug by 45% compared to single usage of the drug. We also report that MK2.III sensitizes metastatic cell lines SW-620 and MDA-MB-231 to etoposide but does not increase the sensitivity of non-metastasizing SW-480 colorectal cells to DNA damaging agent in vitro.

CONCLUSION

Findings reported in this study provide evidence that specific inhibitors of MK2 may indeed improve overall cancer therapy; however, their effectiveness depends on cell types.

Childhood-Onset Lupus Nephritis in the Childhood Arthritis and Rheumatology Research Alliance Registry: Short-Term Kidney Status and Variation in Care

OBJECTIVE

The goal was to characterize short-term kidney status and describe variation in early care utilization in a multicenter cohort of patients with childhood-onset systemic lupus erythematosus (cSLE) and nephritis.

METHODS

We analyzed previously collected prospective data from North American patients with cSLE with kidney biopsy-proven nephritis enrolled in the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry from March 2017 through December 2019. We determined the proportion of patients with abnormal kidney status at the most recent registry visit and applied generalized linear mixed models to identify associated factors. We also calculated frequency of medication use, both during induction and ever recorded.

RESULTS

We identified 222 patients with kidney biopsy-proven nephritis, with 64% class III/IV nephritis on initial biopsy. At the most recent registry visit at median (interquartile range) of 17 (8-29) months from initial kidney biopsy, 58 of 106 patients (55%) with available data had abnormal kidney status. This finding was associated with male sex (odds ratio [OR] 3.88, 95% confidence interval [95% CI] 1.21-12.46) and age at cSLE diagnosis (OR 1.23, 95% CI 1.01-1.49). Patients with class IV nephritis were more likely than class III to receive cyclophosphamide and rituximab during induction. There was substantial variation in mycophenolate, cyclophosphamide, and rituximab ever use patterns across rheumatology centers.

CONCLUSION

In this cohort with predominately class III/IV nephritis, male sex and older age at cSLE diagnosis were associated with abnormal short-term kidney status. We also observed substantial variation in contemporary medication use for pediatric lupus nephritis between pediatric rheumatology centers. Additional studies are needed to better understand the impact of this variation on long-term kidney outcomes.

Associations of Maternal Age, Education, and Marital Status with HPV Vaccine Uptake and Hesitancy among United States Youth: A Cross-Sectional Analysis of the 2020 National Immunization Survey

STUDY OBJECTIVE

Human papillomavirus (HPV) vaccination is proven to reduce the risk of HPV-associated cancers and lesions. Factors associated with HPV vaccine receipt or rejection have been studied, but specific maternal characteristics driving uptake among teens requires further investigation. The aim of this study was to examine maternal characteristics influencing teen vaccine uptake and intent to vaccinate.

STUDY DESIGN

Cross-sectional analysis METHODS: We analyzed data on 27,320 teens aged 13-17 using the 2020 National Immunization Survey-Teen. We constructed regression models to determine the associations, via relative risk, between child vaccination status and maternal characteristics.

RESULTS

Compared with mothers with less education, those with a college degree were significantly more likely to have their children receive HPV vaccination (RR = 1.18; 95% CI, 1.11-1.26). Compared to mothers under 35 years, those aged 35-44 (RR 1.07; 95% CI 1.01-1.14) and over 45 (RR = 1.13; 95% CI, 1.07-1.21) were more likely to provide HPV vaccination to their child. Among children not previously vaccinated (n = 12,098; N = 5,752,355), educated mothers were significantly less likely to report intent to vaccinate their child in the next year. There was no significant difference in vaccination rates in mothers who were married compared with never married (RR = 0.99; 95% CI, 0.97-1.02).

CONCLUSION

Maternal education was the strongest predictor of teens receiving the HPV vaccine. Among mothers with teens not previously vaccinated, intent to obtain the HPV vaccine for their child was higher among mothers with less education compared with college-level educated mothers. Understanding maternal characteristics driving HPV vaccine hesitancy can inform targeted approaches to improve vaccine uptake in children. Additionally, adequate and consistent health messaging on the safety, efficacy, and benefits of HPV vaccination from health providers and public health agencies could increase uptake among adolescents and teens of vaccine-hesitant mothers.

Intraarticular steroids as DMARD-sparing agents for juvenile idiopathic arthritis flares: Analysis of the Childhood Arthritis and Rheumatology Research Alliance Registry

BACKGROUND

Children with juvenile idiopathic arthritis (JIA) who achieve a drug free remission often experience a flare of their disease requiring either intraarticular steroids (IAS) or systemic treatment with disease modifying anti-rheumatic drugs (DMARDs). IAS offer an opportunity to recapture disease control and avoid exposure to side effects from systemic immunosuppression. We examined a cohort of patients treated with IAS after drug free remission and report the probability of restarting systemic treatment within 12 months.

METHODS

We analyzed a cohort of patients from the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry who received IAS for a flare after a period of drug free remission. Historical factors and clinical characteristics and of the patients including data obtained at the time of treatment were analyzed.

RESULTS

We identified 46 patients who met the inclusion criteria. Of those with follow up data available 49% had restarted systemic treatment 6 months after IAS injection and 70% had restarted systemic treatment at 12 months. The proportion of patients with prior use of a biologic DMARD was the only factor that differed between patients who restarted systemic treatment those who did not, both at 6 months (79% vs 35%, p < 0.01) and 12 months (81% vs 33%, p < 0.05).

CONCLUSION

While IAS are an option for all patients who flare after drug free remission, it may not prevent the need to restart systemic treatment. Prior use of a biologic DMARD may predict lack of success for IAS. Those who previously received methotrexate only, on the other hand, are excellent candidates for IAS.

Mental Health Care Provider's Perspectives Toward Adopting a Novel Technology to Improve Medication Adherence

Objective

To understand perspectives of mental health care providers regarding barriers and drivers of adopting a medication ingestible event monitoring (IEM) system in clinical practice.

Methods

Between April and October 2019, a cross‐sectional, online survey was conducted among 131 prescribing clinicians and 119 non‐prescribing clinicians providing care to patients with major depressive disorder, bipolar disorder, and schizophrenia.

Results

Most prescribing clinicians were physicians (79.4%) while most non‐prescribing clinicians (52.9%) were licensed clinical social workers, followed by counselors (30.8%), clinical psychologists (13.4%), and case managers (2.5%). Most respondents (93.2%) reported that clinicians can influence adherence, that the IEM technology was in their patients' best interest (63.6%), and a willingness to beta test the technology (54.8%). Support was positively associated with prescribing clinicians (OR: 2.2; 95% CI: 1.1, 4.5), belief that antipsychotics reduce the health, social, or financial consequences of the condition (OR: 3.8; 95% CI: 1.3, 11.0), concern for patients' well‐being without monitoring (OR: 3.3; 95% CI: 1.2, 8.7), and belief the technology will enhance clinical alliance (OR: 3.1; 95% CI: 1.5, 6.3) or improve patient engagement (OR: 3.0; 95% CI: 1.5, 6.2). Support was inversely related to concerns about appropriate follow‐up actions (OR: 0.4; 95% CI: 0.2, 0.9) and responsibilities (OR: 0.3; 95% CI: 0.1, 0.8) when using the technology.

Conclusions

Our results suggest that IEM sensor technology adoption will depend upon additional evidence that patients will actively engage in the use of the technology, will benefit from the technology through improved outcomes, and that the additional burden placed upon providers is minimal compared to the potential benefit.

Among clinicians with prescribing authority, 91.6% are concerned about the quality of self‐reported medication adherence and 75.6% reported that the IEM sensor technology would be in their patients' “best interest”.

Most prescribing (85.5%) and non‐prescribing (74.0%) clinicians believe that the IEM sensor technology will either improve patient outcomes or practice efficiency.

A key barrier to adoption appears to be concern about how to incorporate these data into practice.

Social determinants of health influence disease activity and functional disability in Polyarticular Juvenile Idiopathic Arthritis

BACKGROUND

Social determinants of health (SDH) greatly influence outcomes during the first year of treatment in rheumatoid arthritis, a disease similar to polyarticular juvenile idiopathic arthritis (pJIA). We investigated the correlation of community poverty level and other SDH with the persistence of moderate to severe disease activity and functional disability over the first year of treatment in pJIA patients enrolled in the Childhood Arthritis and Rheumatology Research Alliance Registry.

METHODS

In this cohort study, unadjusted and adjusted generalized linear mixed effects models analyzed the effect of community poverty and other SDH on disease activity, using the clinical Juvenile Arthritis Disease Activity Score-10, and disability, using the Child Health Assessment Questionnaire, measured at baseline, 6, and 12 months.

RESULTS

One thousand six hundred eighty-four patients were identified. High community poverty (≥20% living below the federal poverty level) was associated with increased odds of functional disability (OR 1.82, 95% CI 1.28-2.60) but was not statistically significant after adjustment (aOR 1.23, 95% CI 0.81-1.86) and was not associated with increased disease activity. Non-white race/ethnicity was associated with higher disease activity (aOR 2.48, 95% CI: 1.41-4.36). Lower self-reported household income was associated with higher disease activity and persistent functional disability. Public insurance (aOR 1.56, 95% CI 1.06-2.29) and low family education (aOR 1.89, 95% CI 1.14-3.12) was associated with persistent functional disability.

CONCLUSION

High community poverty level was associated with persistent functional disability in unadjusted analysis but not with persistent moderate to high disease activity. Race/ethnicity and other SDH were associated with persistent disease activity and functional disability.

Molecular regulation of autophagy in a pro-inflammatory tumour microenvironment: New insight into the role of serum amyloid A

Chronic inflammation, systemic or local, plays a vital role in tumour progression and metastasis. Dysregulation of key physiological processes such as autophagy elicit unfavourable immune responses to induce chronic inflammation. Cytokines, growth factors and acute phase proteins present in the tumour microenvironment regulate inflammatory responses and alter crosstalk between various signalling pathways involved in the progression of cancer. Serum amyloid A (SAA) is a key acute phase protein secreted by the liver during the acute phase response (APR) following infection or injury. However, cancer and cancer-associated cells produce SAA, which when present in high levels in the tumour microenvironment contributes to cancer initiation, progression and metastasis. SAA can activate several signalling pathways such as the PI3K and MAPK pathways, which are also known modulators of the intracellular degradation process, autophagy. Autophagy can be regarded as having a double edged sword effect in cancer. Its dysregulation can induce malignant transformation through metabolic stress which manifests as oxidative stress, endoplasmic reticulum (ER) stress and DNA damage. On the other hand, autophagy can promote cancer survival during metabolic stress, hypoxia and senescence. Autophagy has been utilised to promote the efficiency of chemotherapeutic agents and can either be inhibited or induced to improve treatment outcomes. This review aims to address the known mechanisms that regulate autophagy as well as illustrating the role of SAA in modulating these pathways and its clinical implications for cancer therapy.

Prescriber Attitudes, Experiences, and Proclivities Toward Digital Medicine and How They Influence Adoption of Digital Medicine Platforms

BACKGROUND

Psychiatric prescribers (prescribers) typically assess medication adherence by patient or caregiver self-report. Despite likely clinical benefit of a new digital medicine technology, the role of specific prescriber attitudes, behaviors, and experiences in the likelihood of adoption is unclear.

OBJECTIVE

To identify prescriber characteristics that may affect adoption of the ingestible event marker (IEM) platform.

DESIGN

A survey of prescribers treating seriously mentally ill patients was conducted. Factor analysis was performed on 11 items representing prescriber characteristics believed to be related to endorsement of the IEM platform. Four factors were extracted. Regression analysis was used to test the strength of the relationships between the factors and likelihood of adoption of the IEM platform.

RESULTS

A total of 131 prescribers completed the survey. Most (84%) agreed that visits allow enough time to monitor adherence. Factor analysis revealed four underlying dimensions: 1) perspectives on the value of adherence; 2) concerns about measuring adherence; 3) views toward digital health technologies; and 4) views on payer role/reimbursement. Factors 1 and 3 were related to gender, the belief that computerization benefits prescribers, the presence of office support staff, and the belief that new digital medicine (DM) technology will be cost prohibitive. Willingness to adopt the IEM platform was related to gender (p < 0.05) and perspectives on the value of adherence (p < 0.05), with those scoring higher on that measure also being more likely to adopt.

CONCLUSION

Psychiatric prescribers are concerned about medication adherence, perceive current monitoring tools to be problematic, and are open to using digital technologies to improve accuracy of adherence assessment. Relationships among prescriber characteristics, beliefs, and experiences should be considered when developing educational materials, particularly when the goal is to encourage adoption and use of the IEM platform.

Predicting Incident Treatment-Resistant Depression: A Model Designed for Health Systems of Care

BACKGROUND

Major depressive disorder (MDD) is a prevalent and debilitating condition. While numerous treatment options are available, low treatment response and high remission rates remain common, leading to the concept of treatment-resistant depression (TRD): a classification applied to patients who fail multiple courses of therapy. A patient with TRD can only be identified after repeated, and often prolonged, therapeutic efforts.

OBJECTIVE

To use data readily available to integrated delivery networks to identify characteristics predictive of TRD among patients initiating pharmacotherapy for MDD.

METHODS

Decision Resources Group Real-World Data, an integrated medical/pharmacy claims and electronic health record dataset, was used to conduct a retrospective, longitudinal cohort study of patients with MDD who initiated antidepressant treatment between July 1, 2014, and December 31, 2015. Individuals were followed for 24 months to determine treatment resistance. Eligible individuals had integrated claims and electronic health record data available, completed at least 1 course of therapy of adequate dose and duration to achieve response, and had 30 months of continuous benefits eligibility (6 months before and 24 months after treatment initiation). Stepwise logistic regression and demographic, health history, health care utilization, medication, provider, and related characteristics were used to predict onset of TRD.

RESULTS

35,246 people met eligibility and 7,098 (20.1%) met TRD criteria after an average of 402 days. Significant predictors of TRD included patient age, diagnosis of insomnia and hypertension, psychiatric office visits, nurse telephonic encounters, anticonvulsant medication use, suicidality, physician specialty associated with index prescription, total prescription drug claims, unique antidepressants attempted, and duration of untreated illness (the lag between diagnosis and index prescription). The final model achieved an area under the curve (AUC) = 0.83. Structured patient-generated health data, specifically, the Patient Health Questionnaire-2 and the Patient Health Questionnaire-9 were only reported for 542 patients (1.5%).

CONCLUSIONS

TRD transition occurs after a prolonged treatment period, suggesting clinical inertia. Using data routinely available to integrated delivery networks and accountable care organizations, it is feasible to identify patients likely to qualify as treatment resistant. Monitoring risk factors may allow health systems to identify patients at risk for TRD earlier, potentially improving outcomes. Early identification of this at-risk population can allow for targeted resources for earlier intervention, more aggressive follow-up, and alternative treatment options. Furthermore, this model can be used to estimate future demand for specialized care resources, such as those delivered by mood disorder clinics.

DISCLOSURES

This project was sponsored by Janssen Scientific Affairs. Pesa, Chow, and Verbanac are employed by Janssen Scientific Affairs and report stock ownership in Johnson & Johnson. Liberman, Davis, Heverly-Fitt, and Ruetsch are employed by Health Analytics, which received funding from Janssen Scientific Affairs for work on this project. This study was presented as a poster at the U.S. Psych Congress; October 3-6, 2019; San Diego, CA.

Substrate Supporting Disc Method for Confirmed Detection of Total Coliforms and E. coli in all Foods: Collaborative Study

The Coli Complete® substrate supporting disc (SSD) method for simultaneous confirmed total coliform count and Escherichia coli determination in all foods was compared with AOAC most probable number (MPN) methods, 966.23 and 966.24. Twenty-nine laboratories participated in this collaborative study in which 6 food types were analyzed. Four food types, raw ground beef, pork sausage, raw liquid milk, and nut meats, were naturally contaminated with coliform bacteria. Two foods, dry egg and fresh frozen vegetables, were seeded with coliforms. Three food types, ground beef, raw liquid milk, and pork sausage, were naturally contaminated with E. coli. Although pork sausage was naturally contaminated, the level was very low (&lt;10/50 g); therefore, additional E. coli were inoculated into 1 lot of this food type. Three food types, nut meats, dry egg, and fresh frozen vegetables, were inoculated with E. coli. For naturally contaminated samples, duplicate determinations were made on 3 separate lots for each food type. For inoculated samples, low, medium, and high contamination levels plus uninoculated control samples were examined in duplicate. Data were analyzed separately for total coliform bacteria and for E. coli. Mean log MPN counts were determined by the SSD method and the appropriate AOAC MPN method. Results were then analyzed for repeatability, reproducibility, and mean log MPN statistical equivalence. Results were statistically equivalent for all total coliform levels in all food types except frozen vegetable and raw nut meat uninoculated control samples and 1 lot of pork sausage where the SSD method produced statistically significant greater numbers. For the E. coli determinations, results were statistically equivalent across all samples and all levels for each food type. The SSD method has been adopted first action by AOAC International for confirmed detection of total coliforms and E. coli in all foods.

Relative Effectiveness of Selenite Cystine Broth, Tetrathionate Broth, and Rappaport-Vassiliadis Medium for Recovery of Salmonella spp. from Raw Flesh, Highly Contaminated Foods, and Poultry Feed: Collaborative Study

A collaborative study was performed in 18 laboratories to validate use of Rappaport-Vassiliadis (RV) medium in the standard culture method for recovery of Salmonella spp. from raw, highly contaminated foods and poultry feed. RV medium made from its individual ingredients and incubated at 42�C was compared with selenite cystine (SC) broth incubated at 35�C and tetrathionate (TT) broth incubated at 35� and 43�C for effectiveness in recovery of Salmonella spp. Four artificially contaminated foods (oysters, frog legs, mushrooms, and shrimp) and poultry feed and one naturally contaminated food (chicken) were analyzed. The artificially contaminated foods were inoculated with single serovars of Salmonella at target levels of 0.04 colony-forming units (CFU)/g for the low level and 0.4 CFU/g for the high level. For analysis of 1125 test portions, RV medium (42�C) recovered Salmonellairom 409 test portions; TT (43�C), from 368 test portions; TT (35�C), from 310 test portions; and SC (35�C), from 334 test portions. Overall, RV medium was comparable with or better than other selective enrichments for recovery of Salmonella from the foods in this study, except mushrooms. From mushrooms, SC broth (35�C) recovered more positive test portions than did RV medium (42�C) and TT broth (43�C). The method for detection of Salmonella in raw, highly contaminated foods and

Modified Immunodiffusion Method for Detection of Salmonella in Raw Flesh and Highly Contaminated Foods: Collaborative Study

A total of 19 government and private industry laboratories in Canada and the United States participated in the collaborative study. Naturally contaminated ground poultry and animal meals, as well as inoculated raw shrimp, were examined for presence of Salmonella by both the modified immunodiffusion method and the Bacteriological Analytical Manual culture method, resulting in an agreement rate of 93.1%. The 2 methods are statistically equivalent for all food types at each inoculation level and for all lots of naturally contaminated foods evaluated in this study. The modification of the AOAC Official Method 989.13, immunodiffusion (1–2 TEST) method for detection of motile Salmonella in all foods, has been adopted revised first action by AOAC INTERNATIONAL.

Perceived Norms Influence Perceptions of Risk and Attitudes for Food Technologies

ObjectivesUnderstanding the factors that influence consumer attitudes and risk perception is critical for effective marketing of new food technologies. Many variables impact attitudes and risk perception. However, food technology research has largely focused on demographic variables, and often only single technologies (e.g., GMOs). Our goal was to determine how psychological variables differentially influence attitudes and risk perception for a range of food technologies: antibiotics, hormones, vaccines, GMOs, sustainability, and animal welfare technologies. We examined how attitudes and risk perception for these technologies related to four social psychological variables from the Theory of Planned Behavior (TPB): perceived norms, past behavior, familiarity, and perceived control. In addition, we measured general Food Technology Neophobia (FTN), Trust in Science (TIS), chemical reasoning (CR).Materials and MethodsParticipants (n = 394) provided demographics followed by TPB, attitude, and risk perception surveys for each of the six technologies. Then they completed FTN, TIS, and a CR survey measuring dose–response beliefs (DR), beliefs in unknown risks (UR), the role of risk in society (RS), and naturalness/knowledge of chemicals (NKC). Multiple regression analyses were used to test for associations among the survey measures.ResultsThe multiple regression models were all significant (p < 0.05). Variance accounted for (R2) ranged from 0.49 to0.69 (See Table 1 for summary). Perceived norms were the strongest predictor of attitudes and risk with higher values being associated with stronger attitudes (standardized betas ranging from 0.51 to 0.71) and lower risk perception (–0.54 to –0.40). There were a number of technology-specific associations, including familiarity increasing perceptions of risk for hormones, and NKC being primarily associated with animal welfare and sustainability technologies.ConclusionThe present findings show a critical role for perceived norms– a person’s perception that people they like also approve of or use a technology– across all technologies. This suggests that social factors like norms play a major role in consumer acceptance of food technologies. Other predictors varied in strength across technologies suggesting marketing may benefit from strategies tailored to specific technologies.Table 1Standardized betas (> 0.10 in bold) from selected coefficients of regression models predicting risk perceptions and attitudes (rows) for each technology (columns)

Infographics Influence Attitudes and Risk Perceptions for Food Technologies

ObjectivesFood technologies have facilitated a healthier, more efficient, and sustainable food supply. They nevertheless often face resistance from consumers. Compared to organic and traditional farming techniques, food produced with technologies tends to be associated with higher perceptions of risk, lower attitudes, and fewer perceived benefits. Countering resistance toward technologies poses a serious challenge because persuasive appeals have the potential to amplify preexisting attitudes instead of changing them. We tested six infographics for their ability to improve attitudes and risk perception toward six food technologies: hormones, antibiotics, GM crops, vaccines, sustainability technology, and animal welfare technology. Our objective was to determine whether these infographics would successfully shift perceived risk and attitudes toward these technologies.Materials and MethodsParticipants (n = 810) from English speaking countries (in North America, Europe, and Australia) were recruited from Amazon’s MTurk service. They answered a survey assessing their levels of risk perception and attitudes regarding each of the six food technologies, followed by a general food technology neophobia (FTN) survey. An experimental condition (n = 416) saw an infographic before answering questions about each technology and a control condition (n = 394) did not. Linear mixed effects models implemented in R were used to test risk and attitude differences among technologies and whether the infographics affected risk perception and attitudes.ResultsLinear mixed effects models revealed that there was a significant interaction between technology and condition for both risk: F(54040) = 5.068, p < 0.001, and attitudes: F(54040) = 26.34, p < 0.001. Overall, there was a tendency for risk perception to decrease (g = –.36, z = 6.89, p < 0.001) and attitudes to increase (g = .48, z = 9.38, p < 0.001), in the condition that saw the infographics. However, there were larger decreases in risk perception and increases in attitudes for hormones (risk: z = 5.05, p < 0.001; attitudes: z = 8.30, p < 0.001), GMOs (risk: z = 6.89, p < 0.001; attitudes: 13.21, p < 0.001), vaccines (risk: z = 6.45, p < 0.001; attitudes: z = 6.11, p < 0.001), and antibiotics (risk: 5.06, p < 0.001; attitudes: z = 7.83, p < 0.001), but smaller changes for sustainability (risk: z = 2.77, p = 0.03; attitudes: z = 2.89, p = 0.02) and animal welfare (risk: z = 4.91, p < 0.001; attitudes: z = 3.51, p = 0.003). Including FTN in the models did not affect the overall pattern of results, suggesting that the changes in risk perception and attitudes were not due to simply a general change in FTN.ConclusionOur results found that infographics provide a potential avenue for improving attitudes and risk perception for food technologies. Across six different infographics, we found attitudes and risk perception improved for hormones, antibiotics, vaccines, GMOs, sustainability technologies, and animal welfare technologies. These results are important because such persuasive appeals can often backfire, yet here we observed general improvement. In future studies it will be critical to examine how such attitude and risk perception changes relate to consumer behavior (e.g., willingness-to-pay), and which specific strategies in the infographics led to the improved attitudes.

1424The diagnosis of non-adherence in hypertension using a urine biochemical screen is unaffected by drug pharmacokinetics

Introduction

Suboptimal drug adherence in hypertension is pandemic and traditional diagnostic tools to detect non-adherence have lacked accuracy and robustness. The inability to identify non-adherence has therefore driven the development of biochemical drug screening by liquid chromatography tandem mass spectrometry (LC- MS/MS) in urine and blood, which are the most accurate metrics presently available. Urinary antihypertensive testing is evidenced to improve non-adherence rates, significantly decrease blood pressure after physician intervention, and be cost effective. The European Society of Cardiology (ESC) and European Society of Hypertension (ESH) 2018 guidelines have recommended the use of biochemical testing for non-adherence diagnosis. However, it has been argued that the variable pharmacokinetic parameters of the medication (such as their half-lives and clearance rates) may affect the detection of medications in urine and hence the determination of adherence. We hypothesized that pharmacokinetic parameters do not affect the detection of antihypertensive medications in urine.

Aim

This study compared the pharmacokinetic parameters of the most commonly prescribed antihypertensive medications against their detection in urine by LC-MS/MS.

Methods

Results of urinary drug screens from 463 hypertensive patients (total prescribed medications N=1709) were collated. An adherence score termed as the C score (number of detected vs. prescribed medication) was generated for each of the 27 common antihypertensive medications. Pharmacokinetic parameters such as bioavailability, plasma concentration, volume of distribution, half-life, plasma clearance and urinary excretion values for each drug were obtained from published literature. Partial linear correlation was conducted between the C score of all the medications and each pharmacokinetic parameter studied.

Results

40% of patients were non-adherent. The average number of prescribed medications was high (N=3.7, SD: 1.5), and the average number of drugs detected was lower (N=2.5, SD: 1.6). Amlodipine was the most prescribed (N=224), and clonidine was the least (N=10). The half-lives ranged from 0.87 to 39 hours for bumetanide and amlodipine respectively. The urinary excretion percentage varied from <1% for nifedipine, and 94% for benfroflumethiazide. No significant correlation was found between any drug C score and their respective pharmacokinetic variables such as the medication half-lives (figure1).

Half-life versus adherence score

Conclusion

This study reports no significant correlation between drug pharmacokinetics and adherence. To the best of our knowledge this is the first study of its kind. Urinary biochemical testing by LC-MS/MS for non-adherence remains a valid tool for diagnosis although further detailed pharmacokinetic studies are needed to confirm this finding.

Acknowledgement/Funding

None

Stress inversions to forecast magma pathways and eruptive vent location

When a batch of magma reaches Earth's surface, it forms a vent from which volcanic products are erupted. At many volcanoes, successive batches may open vents far away from previous ones, resulting in scattered, sometimes seemingly random spatial distributions. This exposes vast areas to volcanic hazards and makes forecasting difficult. Here, we show that magma pathways and thus future vent locations may be forecast by combining the physics of magma transport with a Monte Carlo inversion scheme for the volcano stress history. We validate our approach on a densely populated active volcanic field, Campi Flegrei (Italy), where we forecast future vents on an onshore semiannular belt located between 2.3 and 4.2 km from the caldera center. Our approach offers a mechanical explanation for the vent migration over time at Campi Flegrei and at many calderas worldwide and may be applicable to volcanoes of any type.

Biocultural Hysteresis Inhibits Adaptation to Environmental Change

Indigenous peoples and local communities (IPLC) often use natural resources as both a reason and mechanism for environmental management, yet a number of environmental, social, and economic drivers disrupt this relationship. Here, we argue that these drivers can also trigger a set of feedback mechanisms that further diminish the efficacy of local management. We call this process biocultural hysteresis. These feedbacks, which include knowledge loss and a breakdown of social hierarchies, prevent IPLC from adapting their management to change. Biocultural hysteresis worsens as IPLC spend an increasing amount of time outside their social-ecological context. Therefore, we argue for adaptive policies and processes that favour protecting and enabling IPLC engagement with their environment.

Identical and Nonidentical Twins: Risk and Factors Involved in Development of Islet Autoimmunity and Type 1 Diabetes

OBJECTIVE

There are variable reports of risk of concordance for progression to islet autoantibodies and type 1 diabetes in identical twins after one twin is diagnosed. We examined development of positive autoantibodies and type 1 diabetes and the effects of genetic factors and common environment on autoantibody positivity in identical twins, nonidentical twins, and full siblings.

RESEARCH DESIGN AND METHODS

Subjects from the TrialNet Pathway to Prevention Study (N = 48,026) were screened from 2004 to 2015 for islet autoantibodies (GAD antibody [GADA], insulinoma-associated antigen 2 [IA-2A], and autoantibodies against insulin [IAA]). Of these subjects, 17,226 (157 identical twins, 283 nonidentical twins, and 16,786 full siblings) were followed for autoantibody positivity or type 1 diabetes for a median of 2.1 years.

RESULTS

At screening, identical twins were more likely to have positive GADA, IA-2A, and IAA than nonidentical twins or full siblings (all P < 0.0001). Younger age, male sex, and genetic factors were significant factors for expression of IA-2A, IAA, one or more positive autoantibodies, and two or more positive autoantibodies (all P ≤ 0.03). Initially autoantibody-positive identical twins had a 69% risk of diabetes by 3 years compared with 1.5% for initially autoantibody-negative identical twins. In nonidentical twins, type 1 diabetes risk by 3 years was 72% for initially multiple autoantibody-positive, 13% for single autoantibody-positive, and 0% for initially autoantibody-negative nonidentical twins. Full siblings had a 3-year type 1 diabetes risk of 47% for multiple autoantibody-positive, 12% for single autoantibody-positive, and 0.5% for initially autoantibody-negative subjects.

CONCLUSIONS

Risk of type 1 diabetes at 3 years is high for initially multiple and single autoantibody-positive identical twins and multiple autoantibody-positive nonidentical twins. Genetic predisposition, age, and male sex are significant risk factors for development of positive autoantibodies in twins.

Propionate Affects Insulin Signaling and Progesterone Profiles in Dairy Heifers

Emerging data highlighting gut microbiome influences on health support evaluation of how microbial fermentation end-products influence postabsorptive systems. This study aimed to investigate the effect of increased propionate status on progesterone profiles and insulin sensitivity in dairy heifers. Eleven Holstein heifers, synchronized in estrus, were assigned to one of two continuous, 5-day IV treatments: sodium propionate (PRO; n = 5) or saline (CON; n = 6). These infusions culminated in a hyperglycemic clamp with daily blood samples for an additional 7 days. Plasma propionate concentrations increased over the first 9 h in PRO heifers, then decreased until day 3 when they matched CON heifers. Maximum plasma progesterone concentrations tended to be greater in PRO heifers than CON heifers (4.19 vs 3.73 ng/mL; P = 0.087). Plateau insulin concentrations in CON animals were significantly greater than those in PRO animals (249.4 ± 25.1 vs 123.9 ± 35.8; P = 0.008) with a trend for an increased insulin sensitivity index in PRO heifers compared to CON heifers (P = 0.06). These changes in plasma propionate clearance leading to increased progesterone response and changes in insulin sensitivity suggest a role for SCFA metabolism in reproductive hormone regulation.

A Type 1 Diabetes Genetic Risk Score Predicts Progression of Islet Autoimmunity and Development of Type 1 Diabetes in Individuals at Risk

OBJECTIVE

We tested the ability of a type 1 diabetes (T1D) genetic risk score (GRS) to predict progression of islet autoimmunity and T1D in at-risk individuals.

RESEARCH DESIGN AND METHODS

We studied the 1,244 TrialNet Pathway to Prevention study participants (T1D patients' relatives without diabetes and with one or more positive autoantibodies) who were genotyped with Illumina ImmunoChip (median [range] age at initial autoantibody determination 11.1 years [1.2-51.8], 48% male, 80.5% non-Hispanic white, median follow-up 5.4 years). Of 291 participants with a single positive autoantibody at screening, 157 converted to multiple autoantibody positivity and 55 developed diabetes. Of 953 participants with multiple positive autoantibodies at screening, 419 developed diabetes. We calculated the T1D GRS from 30 T1D-associated single nucleotide polymorphisms. We used multivariable Cox regression models, time-dependent receiver operating characteristic curves, and area under the curve (AUC) measures to evaluate prognostic utility of T1D GRS, age, sex, Diabetes Prevention Trial-Type 1 (DPT-1) Risk Score, positive autoantibody number or type, HLA DR3/DR4-DQ8 status, and race/ethnicity. We used recursive partitioning analyses to identify cut points in continuous variables.

RESULTS

Higher T1D GRS significantly increased the rate of progression to T1D adjusting for DPT-1 Risk Score, age, number of positive autoantibodies, sex, and ethnicity (hazard ratio [HR] 1.29 for a 0.05 increase, 95% CI 1.06-1.6; P = 0.011). Progression to T1D was best predicted by a combined model with GRS, number of positive autoantibodies, DPT-1 Risk Score, and age (7-year time-integrated AUC = 0.79, 5-year AUC = 0.73). Higher GRS was significantly associated with increased progression rate from single to multiple positive autoantibodies after adjusting for age, autoantibody type, ethnicity, and sex (HR 2.27 for GRS >0.295, 95% CI 1.47-3.51; P = 0.0002).

CONCLUSIONS

The T1D GRS independently predicts progression to T1D and improves prediction along T1D stages in autoantibody-positive relatives.