Impact of Clinical Characteristics and Biomarkers on Asthma Impairment and Risk Questionnaire Exacerbation Prediction Ability.

BACKGROUND: Complex models combining impairment-based control assessments with clinical characteristics and biomarkers have been developed to predict asthma exacerbations. The composite Asthma Impairment and Risk Questionnaire (AIRQ) with adjustments for demographics (age, sex, race, and body mass index) predicts 12-month exacerbation occurrence similarly to these more complex models. OBJECTIVE: To examine whether AIRQ exacerbation prediction is enhanced when models are adjusted for a wider range of clinical characteristics and biomarkers. METHODS: Patients aged 12 years and older completed monthly online surveys regarding exacerbation-related oral corticosteroid use, emergency department or urgent care visits, and hospitalizations. Univariate logistic regressions to predict exacerbations were performed with sociodemographics, comorbidities, exacerbation history, lung function, blood eosinophils, IgE, and FeNO. Significant (P ≤ .05) variables were included in multivariable logistic regressions with and without AIRQ control categories to predict 12-month exacerbations (log odds ratio [95% Wald confidence interval]). Model performances were compared. RESULTS: Over 12 months, 1,070 patients (70% female; mean [SD] age, 43.9 [19.4] years; 22% non-White; body mass index [SD], 30.6 [8.7]) completed one or more survey (mean [SD], 10.5 [2.8] surveys). In the multivariable analysis, AIRQ control category adjusted for significant clinical characteristics and biomarkers was predictive of one or more exacerbations: odds ratio (95% CI) not well-controlled versus well-controlled: 1.93 (1.41-2.62), very poorly controlled versus well-controlled: 3.81 (2.65-5.47). Receiver operating characteristic area under the curve (AUC) for this more complex model of exacerbation prediction (AUC = 0.72) did not differ from AIRQ (AUC = 0.70). Models with AIRQ performed better than those without AIRQ (AUC = 0.67; P < .05). CONCLUSION: Costly and time-consuming complex modeling with clinical characteristics and biomarkers does not enhance the strong exacerbation prediction ability of AIRQ.

Association between CFTR modulators and changes in iron deficiency markers in cystic fibrosis.

BACKGROUND: Iron deficiency (ID) is a common extrapulmonary manifestation in cystic fibrosis (CF). CF transmembrane conductance regulator (CFTR) modulator therapies, particularly highly-effective modulator therapy (HEMT), have drastically improved health status in a majority of people with CF. We hypothesize that CFTR modulator use is associated with improved markers of ID. METHODS: In a multicenter retrospective cohort study across 4 United States CF centers 2012-2022, the association between modulator therapies and ID laboratory outcomes was estimated using multivariable linear mixed effects models overall and by key subgroups. Summary statistics describe the prevalence and trends of ID, defined a priori as transferrin saturation (TSAT) <20 % or serum iron <60 µg/dL (<10.7 µmol/L). RESULTS: A total of 568 patients with 2571 person-years of follow-up were included in analyses. Compared to off modulator therapy, HEMT was associated with +8.4 % TSAT (95 % confidence interval [CI], +6.3-10.6 %; p < 0.0001) and +34.4 µg/dL serum iron (95 % CI, +26.7-42.1 µg/dL; p < 0.0001) overall; +5.4 % TSAT (95 % CI, +2.8-8.0 %; p = 0.0001) and +22.1 µg/dL serum iron (95 % CI, +13.5-30.8 µg/dL; p < 0.0001) in females; and +11.4 % TSAT (95 % CI, +7.9-14.8 %; p < 0.0001) and +46.0 µg/dL serum iron (95 % CI, +33.3-58.8 µg/dL; p < 0.0001) in males. Ferritin was not different in those taking modulator therapy relative to off modulator therapy. Hemoglobin was overall higher with use of modulator therapy. The prevalence of ID was high throughout the study period (32.8 % in those treated with HEMT). CONCLUSIONS: ID remains a prevalent comorbidity in CF, despite availability of HEMT. Modulator use, particularly of HEMT, is associated with improved markers for ID (TSAT, serum iron) and anemia (hemoglobin).

Top Ten Tips Palliative Care Clinicians Should Know About Providing Care for People With Disabilities.

Palliative care (PC) clinicians are well poised to help people with disabilities (PWD) live well in the context of serious illness. PC prioritizes person-centered care with a focus on function, autonomy, and quality of life. This approach aligns with principles of high-quality care for PWD. An understanding of the unique experiences and needs of PWD can advance the delivery of comprehensive, equitable PC for this population. In this article, we provide 10 tips to help PC clinicians develop an informed disability lens in their approach to care.

Treatment preferences of patients with relapsed or refractory multiple myeloma in the United States, United Kingdom, Italy, Germany, France, and Spain: results from a discrete choice experiment.

Introduction: Newer treatment options for relapsed/refractory multiple myeloma (RRMM) with efficacy and safety profiles that differ from traditional therapies have facilitated personalized management strategies to optimize patient outcomes. In the context of such personalized management, understanding how treatment characteristics influence patients' preferences is essential. This study assessed patients' preferences for RRMM treatment attributes and determined trade-offs between potential benefits, administration procedures, and adverse effects. Methods: Patients' preferences were evaluated using a discrete choice experiment (DCE). Patients with RRMM who reported failing two lines of anti-myeloma treatment (immunomodulatory agent and a proteasome inhibitor [PI]) or ≥ 3 lines (including ≥1 PI, immunomodulatory agent, or anti-CD38 monoclonal antibody), were recruited across the US, UK, Italy, Germany, France, and Spain. DCE attributes and levels were identified using a targeted literature review, a review of clinical data for relevant RRMM treatments, qualitative patient interviews, and input from clinical and myeloma patient experts. The DCE was administered within an online survey from February-June 2022. Preference data were analyzed using an error-component logit model and willingness to make trade-offs for potential benefits, and relative attribute importance scores were calculated. Results: Overall, 296 patients from the US (n = 100), UK (n = 49), Italy (n = 45), Germany (n = 43), France (n = 39), and Spain (n = 20) participated in the DCE. Mean (standard deviation) age was 63.8 (8.0) years, 84% had a caregiver, and patients had a median of 3 (range: 2-8) prior lines of therapy. Efficacy attributes most influenced patients' preferences, with increasing overall response rate (25-85%) and overall survival (6 months to 2 years) contributing to ~50% of treatment decision-making. Administration procedures were also considered important to patients. Avoiding individual side effects was considered relatively less important, with patients willing to tolerate increases in side effects for gains in efficacy. Patient characteristics such as rate of disease progression, sociodemographics, or clinical characteristics also influenced treatment preferences. Conclusion: Patients with RRMM were willing to tolerate increased risk of side effects for higher efficacy. Preferences and risk tolerance varied between patients, with preference patterns differing by certain patient characteristics. This highlights the importance of shared decision-making for optimal treatment selection and patient outcomes.

Crossover of Engagement Among Academic Staff and Students During COVID-19.

Purpose: Globally, the pandemic had adverse consequences on the engagement and overall well-being of individuals. From a positive psychological perspective, this study drew on processes of social exchange, Kahn's theory on personal engagement and crossover theory, to explore the impact of mutual influences among academic staff and students on the engagement of both parties. Subsequently, the study explored the positive outcomes of engagement for both academic staff and students. Participants and Methods: Purposive, non-probability sampling was used, and cross-sectional data were collected through electronic surveys. The sample consisted of a total of 1594 students who were nested within 160 academic staff members. Results: Findings highlighted the influence of interpersonal factors such as high student leader-member exchange on student engagement and the impact of students' lack of reciprocity on the emotional engagement of academic staff. Findings further revealed that student engagement was positively related to a deep-learning approach and negatively related to a surface-learning approach. Furthermore, this study found a positive significant association between the emotional engagement and the psychological well-being of academic staff. Conclusion: Against the backdrop of the COVID-19 pandemic and to reduce the negative psychological and behavioural challenges resulting from the pandemic, this research intended to inform policy-makers in higher education of the impact that mutual influences among academic staff and students have on their engagement and the benefits of engagement in cultivating a culture of life-long learning among students and improving the psychological well-being of academic staff.

Live-cell invasive phenotyping uncovers the ALK2/BMP6 iron homeostasis pathway as a therapeutic vulnerability in LKB1-mutant lung cancer.

The acquisition of invasive properties is a prerequisite for tumor progression and metastasis. Molecular subtypes of KRAS-driven lung cancer exhibit distinct modes of invasion that likely contribute to unique growth properties and therapeutic susceptibilities. Despite this, pre-clinical discovery strategies designed to exploit invasive phenotypes are lacking. To address this, we designed an experimental system to screen for targetable signaling pathways linked to active early invasion phenotypes in the two most prominent molecular subtypes, TP53 and LKB1, of KRAS-driven lung adenocarcinoma (LUAD). By combining live-cell imaging of human bronchial epithelial cells in a 3D invasion matrix with RNA transcriptome profiling, we identified the LKB1-specific upregulation of bone morphogenetic protein 6 (BMP6). Examination of early-stage lung cancer patients confirmed upregulation of BMP6 in LKB1-mutant lung tumors. At the molecular level, we find that the canonical iron regulatory hormone Hepcidin is induced via BMP6 signaling upon LKB1 loss, where intact LKB1 kinase activity is necessary to maintain signaling homeostasis. Furthermore, pre-clinical studies in a novel Kras/Lkb1-mutant syngeneic mouse model show that potent growth suppression was achieved by inhibiting the ALK2/BMP6 signaling axis with single agents that are currently in clinical trials. We show that alterations in the iron homeostasis pathway are accompanied by simultaneous upregulation of ferroptosis protection proteins. Thus, LKB1 is sufficient to regulate both the 'gas' and 'breaks' to finely tune iron-regulated tumor progression.

The Impact of Substantial Improvements in HbA1c and Weight Loss on the Medication Preferences of People with Type 2 Diabetes.

Purpose: To quantify the preferences of people with type 2 diabetes (T2D) for treatment attributes of a glucose-dependent insulinotropic polypeptide (GIP)/glucagon-like peptide-1 (GLP-1) receptor agonist (RA) versus an injectable GLP-1 RA medication profile. Patients and Methods: Injection-naive people taking oral medications for T2D in the US and UK completed a web survey including a discrete choice experiment to quantify patients' preferences for five treatment attributes: delivery system, frequency of nausea, frequency of hypoglycemia, HbA1c reduction, and weight reduction. Attributes and levels were based on head-to-head clinical trial data of tirzepatide 5mg, 10mg, and 15mg versus semaglutide 1mg. Preference data were analyzed separately by country using multinomial mixed logit (MXL) models. MXL parameters were used to estimate the predicted preference for each tirzepatide dose versus semaglutide 1mg. Direct preferences for each dose of tirzepatide versus semaglutide 1mg were elicited. Results: Participants (N=620) in the US (N=301) and UK (N=319) were 50.8% and 50.5% female with mean ages of 60.7 years and 58.9 years, respectively. The order and magnitude of relative attribute importance (RAI) scores differed between countries. HbA1c reduction (26.3%) had the greatest impact on US participants' preferences, and hypoglycemia (32.8%) did among UK participants. Attribute-level marginal utility results indicated preferences for greater HbA1c improvements, the single-use pre-filled pen, lower hypoglycemia, greater weight reductions, and lower frequency of nausea. Assuming the availability of only tirzepatide or semaglutide 1mg, the predicted preference for tirzepatide (5, 10, and 15mg) in the US is 95.6% (vs 4.4% for semaglutide 1mg) and in the UK was 86.3% (vs 13.7% for semaglutide 1mg). Conclusion: HbA1c reduction, frequency of hypoglycemia, and weight reduction are key drivers of preferences among people with T2D when considering medication options. Overall, people with T2D are likely to prefer the tirzepatide over the semaglutide 1mg medication profiles.

Strategies to improve the experience of patients with brain tumors in the inpatient rehabilitation setting: development of a care coordination checklist.

PURPOSE: To develop a checklist to facilitate coordination of care and communication of patients with brain tumors and assess the benefit of the checklist using a quality improvement survey. MATERIALS AND METHODS: Rehabilitation teams are challenged to respond to the unique needs of patients with brain tumors as this population requires coordinated care across multiple disciplines with frequent communication. To improve care of this patient population in an IRF setting, we developed a novel checklist using a multidisciplinary team of clinicians. Our checklist aims to improve communication between multiple treatment teams, achieve appropriate goals during the IRF stay, involve services as needed and arrange post-discharge services for patients with brain tumors. We then used a quality improvement survey among clinicians to assess the efficacy and general opinion of the checklist. RESULTS: A total of 15 clinicians completed the survey. 66.7% felt that the checklist improved care delivery, and 66.7% felt the checklist improved communication between providers internally and with external institutions. More than half felt the checklist improved the patient experience and care delivery. CONCLUSIONS: A care coordination checklist has the potential to address the unique challenges experienced by patients with brain tumors to improve overall care for this population.IMPLICATIONS FOR REHABILITATIONSuccessful clinical care and rehabilitation of patients with brain tumors requires the coordinated efforts of an interdisciplinary team that often spans multiple care settings.A care coordination checklist has the potential to address the unique challenges experienced by patients with brain tumors to improve overall care for this population in the inpatient rehabilitation setting.

Loss of the endocytic tumor suppressor HD-PTP phenocopies LKB1 and promotes RAS-driven oncogenesis.

Oncogenic RAS mutations drive aggressive cancers that are difficult to treat in the clinic, and while direct inhibition of the most common KRAS variant in lung adenocarcinoma (G12C) is undergoing clinical evaluation, a wide spectrum of oncogenic RAS variants together make up a large percentage of untargetable lung and GI cancers. Here we report that loss-of-function alterations (mutations and deep deletions) in the gene that encodes HD-PTP (PTPN23) occur in up to 14% of lung cancers in the ORIEN Avatar lung cancer cohort, associate with adenosquamous histology, and occur alongside an altered spectrum of KRAS alleles. Furthermore, we show that in publicly available early-stage NSCLC studies loss of HD-PTP is mutually exclusive with loss of LKB1, which suggests they restrict a common oncogenic pathway in early lung tumorigenesis. In support of this, knockdown of HD-PTP in RAS-transformed lung cancer cells is sufficient to promote FAK-dependent invasion. Lastly, knockdown of the Drosophila homolog of HD-PTP (dHD-PTP/Myopic) synergizes to promote RAS-dependent neoplastic progression. Our findings highlight a novel tumor suppressor that can restrict RAS-driven lung cancer oncogenesis and identify a targetable pathway for personalized therapeutic approaches for adenosquamous lung cancer.

Predicting reliability through structured expert elicitation with the repliCATS (Collaborative Assessments for Trustworthy Science) process.

As replications of individual studies are resource intensive, techniques for predicting the replicability are required. We introduce the repliCATS (Collaborative Assessments for Trustworthy Science) process, a new method for eliciting expert predictions about the replicability of research. This process is a structured expert elicitation approach based on a modified Delphi technique applied to the evaluation of research claims in social and behavioural sciences. The utility of processes to predict replicability is their capacity to test scientific claims without the costs of full replication. Experimental data supports the validity of this process, with a validation study producing a classification accuracy of 84% and an Area Under the Curve of 0.94, meeting or exceeding the accuracy of other techniques used to predict replicability. The repliCATS process provides other benefits. It is highly scalable, able to be deployed for both rapid assessment of small numbers of claims, and assessment of high volumes of claims over an extended period through an online elicitation platform, having been used to assess 3000 research claims over an 18 month period. It is available to be implemented in a range of ways and we describe one such implementation. An important advantage of the repliCATS process is that it collects qualitative data that has the potential to provide insight in understanding the limits of generalizability of scientific claims. The primary limitation of the repliCATS process is its reliance on human-derived predictions with consequent costs in terms of participant fatigue although careful design can minimise these costs. The repliCATS process has potential applications in alternative peer review and in the allocation of effort for replication studies.

Patient Preferences for Multi-Cancer Early Detection (MCED) Screening Tests.

BACKGROUND: Emerging blood-based multi-cancer early detection (MCED) tests can detect a variety of cancer types across stages with a range of sensitivity, specificity, and ability to predict the origin of the cancer signal. However, little is known about the general US population's preferences for MCED tests. OBJECTIVE: To quantify preferences for MCED tests among US adults aged 50-80 years using a discrete choice experiment (DCE). METHODS: To quantify preferences for attributes of blood-based MCED tests, an online DCE was conducted with five attributes (true positives, false negatives, false positives, likelihood of the cancer type unknown, number of cancer types detected), among the US population aged 50-80 years recruited via online panels and social media. Data were analyzed using latent class multinomial logit models and relative attribute importance was obtained. RESULTS: Participants (N = 1700) were 54% female, mean age 63.3 years. Latent class modeling identified three classes with distinct preferences for MCED tests. The rank order of attribute importance based on relative attribute importance varied by latent class, but across all latent classes, participants preferred higher accuracy (fewer false negatives and false positives, more true positives) and screenings that detected more cancer types and had a lower likelihood of cancer type unknown. Overall, 72% of participants preferred to receive an MCED test in addition to currently recommended cancer screenings. CONCLUSIONS: While there is significant heterogeneity in cancer screening preferences, the majority of participants preferred MCED screening and the accuracy of these tests is important. While the majority of participants preferred adding an MCED test to complement current cancer screenings, the latent class analyses identified a small (16%) and specific subset of individuals who value attributes differently, with particular concern regarding false-negative and false-positive test results, who are significantly less likely to opt-in.

Evaluating antitumor activity of Escherichia coli purine nucleoside phosphorylase against head and neck patient-derived xenografts.

BACKGROUND: Purine nucleoside phosphorylase (PNP) gene transfer represents a promising approach to treatment of head and neck malignancies. We tested recombinant adenovirus already in phase I/II clinical testing and leading-edge patient-derived xenografts (PDX) as a means to optimize this therapeutic strategy. METHODS: Our experiments investigated purine base cytotoxicity, PNP enzyme activity following treatment of malignant tissue, tumor mass regression, viral receptor studies, and transduction by tropism-modified adenovirus. RESULTS: Replication deficient vector efficiently transduced PDX cells and mediated significant anticancer effect following treatment with fludarabine phosphate in vivo. Either 6-methylpurine or 2-fluoroadenine (toxic molecules generated by the PNP approach) ablated head and neck cancer cell proliferation. High levels of adenovirus-3 specific receptors were detected in human tumor models, and vector was evaluated that utilizes this pathway. CONCLUSIONS: Our studies provide the scientific foundation necessary to improve PNP prodrug cleavage and advance a new treatment for head and neck cancer.

Preferences of patients for benefits and risks of insomnia medications using data elicited during two phase III clinical trials.

STUDY OBJECTIVES: To elicit the trade-offs patients are willing to make between benefits and risks of medications for chronic insomnia, with the purpose of allowing a patient-centric interpretation of clinical trial data. METHODS: A discrete choice experiment (DCE) was included in the two placebo-controlled phase III trials that evaluated the efficacy and safety of daridorexant. The DCE design was informed by a two-phase qualitative study, followed by qualitative and quantitative pilot testing before fielding. Relative attribute importance (RAI) and acceptable trade-offs between benefits and risks were obtained using a mixed logit model. RESULTS: Preferences were elicited from 602 trial participants (68.1% female, aged 58.6 ± 14.5 years). Preferences were most affected by daytime functioning (RAI = 33.7%) as a treatment benefit and withdrawal symptoms (RAI = 27.5%) as a risk. Patients also valued shorter sleep onset (RAI = 6.4%), longer sleep maintenance (RAI = 5.4%), reduced likelihood of abnormal thoughts and behavioral changes (RAI = 11.3%), reduced likelihood of dizziness/grogginess (RAI = 9.2%), and reduced likelihood of falls at night (RAI = 6.5%). Patients were willing to make trade-offs between these attributes. For example, they would accept an additional 18.8% risk of abnormal thoughts and behavioral changes to improve their daytime functioning from difficult to restricted and an additional 8.1% risk of abnormal thoughts and behavioral changes to avoid moderate withdrawal effects. CONCLUSIONS: Patients with insomnia were willing to make trade-offs between multiple benefits and risks of pharmacological treatments. Because patients valued daytime functioning more than sleep latency and duration, we recommend that functional outcomes and sleep quality be considered in treatment development and evaluation.

The Benefits of Safely Achieving Near Normoglycemia from the Perspective of People with Type 2 Diabetes: A Quantitative Survey Study.

Purpose: To understand the perspectives of people with type 2 diabetes (T2D) on safely reaching near normoglycemia, defined as a glycated hemoglobin A1c (HbA1c) value of <6%. HbA1c indicates the average blood sugar level over the past few months. Patients and Methods: This cross-sectional online quantitative survey of people with T2D asked about the current impacts of T2D, the anticipated benefits of safely achieving near normoglycemia among participants with a current HbA1c ≥6%, or the actual benefits of safely achieving near normoglycemia among participants who had an HbA1c <6%. Participants reported on specific areas of psychological/emotional impact of T2D and the psychological/emotional benefits of achieving near normoglycemia. Results: Participants (N = 1000; United States = 500 and United Kingdom = 500) were 53.1% male and had a mean age of 62.9 years (SD = 13.3). The majority reported that the current HbA1c ≥6% (81.2%) and 49.2% had been diagnosed more than 10 years ago. The vast majority of participants (>90%) indicated that achieving near normoglycemia was meaningful, with 95% of the participants indicating that achieving near normoglycemia would be of somewhat or extreme importance to them. In total, 93.8% of participants with a current HbA1c ≥6% and 80.3% of those with a current HbA1c <6% anticipated/reported having experienced improvements as a result of achieving near normoglycemia. Among those who experienced or anticipated positive psychological/emotional impacts (n = 247), the most commonly reported impacts included less worry about future diabetes-related complications (79.8%), feeling in control over one's life (72.9%), and overall health-related quality of life (59.9%). Conclusion: Achieving near normoglycemia is both meaningful and important to the majority of people with T2D, including both those who have and those who have not experienced reaching near normoglycemia. A wide range of specific impacts, including psychological/emotional concepts, are experienced by people with T2D, many of which may be improved through achieving near normoglycemia.

The Asthma Impairment and Risk Questionnaire (AIRQ) Control Level Predicts Future Risk of Asthma Exacerbations.

BACKGROUND: The Asthma Impairment and Risk Questionnaire (AIRQ) is a 10-item, equally weighted, yes/no control tool validated in patients with asthma aged 12 years and older. OBJECTIVE: To evaluate AIRQ's ability to predict patient-reported exacerbations over 12 months. METHODS: Patients completed a baseline AIRQ during an in-person enrollment visit and reported exacerbations (ie, asthma-related courses of oral corticosteroids, emergency department/urgent care visits, and hospitalizations) via monthly online surveys. Logistic regressions were performed using AIRQ control level (well-controlled [WC], not well-controlled [NWC], very poorly controlled [VPC]), age, sex, race, and body mass index as covariates and 1 or more and 2 or more exacerbations as the dependent variables (adjusted odds ratios [OR] and 95% Wald CIs). Kaplan-Meier analyses of time to first exacerbation by AIRQ control level were performed. RESULTS: A total of 1,112 patients were enrolled; 1,070 completed 1 or more surveys over 12 months (mean ± SD 10.5 ± 2.8 months); 70.5% female; age 43.9 ± 19.3 years; 20.4% non-White; body mass index 30.6 ± 8.7 kg/m2; AIRQ: WC 35.2%, NWC 38.1%, VPC 26.6%. A total of 45.7% of patients reported 1 or more exacerbations and 26.7% 2 or more exacerbations (WC 28.4% ≥ 1, 11.1% ≥ 2; NWC 46.3% ≥ 1, 27.9% ≥ 2; VPC 67.7% ≥ 1, 45.6% ≥ 2). The ORs for 1 or more exacerbations NWC versus WC were 2.1 (CI 1.6-2.9), and VPC versus WC were 4.6 (CI 3.3-6.5). The ORs for 2 or more exacerbations NWC versus WC were 3.1 (CI 2.1-4.6), and VPC versus WC were 6.1 (CI 4.0-9.1). Kaplan-Meier curves demonstrated clear differentiation of time to first exacerbation by AIRQ control level (P < .001). CONCLUSIONS: The AIRQ control level predicts exacerbation risk over 12 months and probability of time to first exacerbation.

Engagement of Academic Staff Amidst COVID-19: The Role of Perceived Organisational Support, Burnout Risk, and Lack of Reciprocity as Psychological Conditions.

The COVID-19 crisis has resulted in radical changes within the higher education system, requiring academia to rapidly transition from the traditional learning model to a distance or blended model of learning to ensure continuity of educational processes. These changes have placed additional demands on academic staff who already have a heavy workload. According to the job demands-resources model, these additional demands may have an impact on the burnout risk, engagement, and well-being of academic staff. In alignment with the premises of positive psychology the primary objective of this study was to explore the interplay of three psychological conditions (meaningfulness, safety, and availability) needed to stimulate engagement. To investigate this interplay, the researchers connected Kahn's theory on engagement with current concepts that focus on the person-role relationship, such as those dealt with in the job demands-resources model, organisational support theory, and perceptions of reciprocity. Mediating effects between burnout risk, engagement, and psychological well-being, as well as the moderating effect of lack of reciprocity, were tested using structural equation modelling. The study used a purposive, non-probability sampling method and a cross-sectional survey research design. Participants were 160 academic staff members employed at a university in South Africa. The findings of this study revealed that the three psychological conditions (meaningfulness, safety, and availability), which were operationalised as lack of reciprocity, perceived organisational support, and burnout risk, were significantly related to emotional engagement. Perceived organisational support (job resources), which met the criteria for psychological safety and some components of meaningfulness, displayed the strongest association with engagement. Policymakers within higher education institutions should be sensitive to the issues this study focused on, especially as regards the need to provide organisational support in times of crisis, such as the COVID-19 pandemic.

Systematic comparison of published host gene expression signatures for bacterial/viral discrimination.

BACKGROUND: Measuring host gene expression is a promising diagnostic strategy to discriminate bacterial and viral infections. Multiple signatures of varying size, complexity, and target populations have been described. However, there is little information to indicate how the performance of various published signatures compare to one another. METHODS: This systematic comparison of host gene expression signatures evaluated the performance of 28 signatures, validating them in 4589 subjects from 51 publicly available datasets. Thirteen COVID-specific datasets with 1416 subjects were included in a separate analysis. Individual signature performance was evaluated using the area under the receiving operating characteristic curve (AUC) value. Overall signature performance was evaluated using median AUCs and accuracies. RESULTS: Signature performance varied widely, with median AUCs ranging from 0.55 to 0.96 for bacterial classification and 0.69-0.97 for viral classification. Signature size varied (1-398 genes), with smaller signatures generally performing more poorly (P < 0.04). Viral infection was easier to diagnose than bacterial infection (84% vs. 79% overall accuracy, respectively; P < .001). Host gene expression classifiers performed more poorly in some pediatric populations (3 months-1 year and 2-11 years) compared to the adult population for both bacterial infection (73% and 70% vs. 82%, respectively; P < .001) and viral infection (80% and 79% vs. 88%, respectively; P < .001). We did not observe classification differences based on illness severity as defined by ICU admission for bacterial or viral infections. The median AUC across all signatures for COVID-19 classification was 0.80 compared to 0.83 for viral classification in the same datasets. CONCLUSIONS: In this systematic comparison of 28 host gene expression signatures, we observed differences based on a signature's size and characteristics of the validation population, including age and infection type. However, populations used for signature discovery did not impact performance, underscoring the redundancy among many of these signatures. Furthermore, differential performance in specific populations may only be observable through this type of large-scale validation.

Evaluating construct validity of the Asthma Impairment and Risk Questionnaire using a 3-month exacerbation recall.

BACKGROUND: Recurrent assessment of asthma control is essential to evaluating disease stability and intervention impacts. An assessment that can be administered between annual clinic visits is needed. The Asthma Impairment and Risk Questionnaire (AIRQ) is a cross-sectionally validated, 10-item, yes or no, composite control tool evaluating previous 2-week symptoms and previous 12-month exacerbations. OBJECTIVE: To evaluate the construct validity of the AIRQ using a 3-month recall period for exacerbation-based risk questions and retaining the 2-week recall for symptom-based impairment items. METHODS: At baseline, patients completed the AIRQ with 12-month recall exacerbation items, Asthma Control Test (ACT), St. George's Respiratory Questionnaire (SGRQ), and global self-assessments of asthma risk, control, and symptom severity. Patient-reported exacerbations were captured monthly. The AIRQ with 3-month recall exacerbation items, ACT, and global self-assessments was administered at months 3, 6, and 9, and SGRQ at month 6. RESULTS: A total of 1112 patients aged 12 years or older were enrolled (mean [SD] age, 43.9 [19.5] years). The AIRQ and each administration of the AIRQ with 3-month recall exacerbation items classified asthma control similarly to an ACT plus exacerbation validation standard. For both AIRQ versions, SGRQ scores were higher with worsening asthma control (P < .001). At months 3, 6, and 9, worse AIRQ control levels were associated with higher proportions of patients with 1 or more and 2 or more exacerbations in the previous 3 months and patient global self-assessments indicating greater asthma morbidity (all P < .001). CONCLUSION: The AIRQ using exacerbation risk items with a 3-month recall period exhibits construct validity for classifying current asthma control and can be administered between annual AIRQ assessments.

Feasibility of Post-hospitalization Telemedicine Video Visits for Children With Medical Complexity.

OBJECTIVES: To evaluate feasibility and acceptability of post-hospitalization telemedicine video visits (TMVV) during hospital-to-home transitions for children with medical complexity (CMC); and explore associations with hospital utilization, caregiver self-efficacy (CSE), and family self-management (FSM). METHOD: This non-randomized pilot study assigned CMC (n=28) to weekly TMVV for four weeks post-hospitalization; control CMC (n=20) received usual care without telemedicine. Feasibility was measured by time to connection and proportion of TMVV completed; acceptability was measured by parent-reported surveys. Pre/post-discharge changes in CSE, FSM, and hospital utilization were assessed. RESULTS: 64 TMVV were completed; 82 % of patients completed 1 TMVV; 54 % completed four TMVV. Median time to TMVV connection was 1 minute (IQR=2.5). Parents reported high acceptability of TMVV (mean 6.42; 1 -7 scale). CSE and FSM pre/post-discharge were similar for both groups; utilization declined in both groups post-discharge. DISCUSSION: Post-hospitalization TMVV for CMC were feasible and acceptable during hospital-to-home transitions.

A comparison of host response strategies to distinguish bacterial and viral infection.

OBJECTIVES: Compare three host response strategies to distinguish bacterial and viral etiologies of acute respiratory illness (ARI). METHODS: In this observational cohort study, procalcitonin, a 3-protein panel (CRP, IP-10, TRAIL), and a host gene expression mRNA panel were measured in 286 subjects with ARI from four emergency departments. Multinomial logistic regression and leave-one-out cross validation were used to evaluate the protein and mRNA tests. RESULTS: The mRNA panel performed better than alternative strategies to identify bacterial infection: AUC 0.93 vs. 0.83 for the protein panel and 0.84 for procalcitonin (P<0.02 for each comparison). This corresponded to a sensitivity and specificity of 92% and 83% for the mRNA panel, 81% and 73% for the protein panel, and 68% and 87% for procalcitonin, respectively. A model utilizing all three strategies was the same as mRNA alone. For the diagnosis of viral infection, the AUC was 0.93 for mRNA and 0.84 for the protein panel (p<0.05). This corresponded to a sensitivity and specificity of 89% and 82% for the mRNA panel, and 85% and 62% for the protein panel, respectively. CONCLUSIONS: A gene expression signature was the most accurate host response strategy for classifying subjects with bacterial, viral, or non-infectious ARI.