SF-36v2 and FACIT-Fatigue quality of life improvements with organ-specific SELENA-SLEDAI response and belimumab treatment in patients with systemic lupus erythematosus.

OBJECTIVE: Explore organ-specific SLE burden by assessing health-related quality of life (HRQoL) and fatigue changes associated with Safety of Estrogens in Lupus Erythematosus National Assessment-Systemic Lupus Erythematosus Disease Activity Index (SELENA-SLEDAI) organ system response (score improvement) and belimumab treatment. METHODS: Data from four phase III belimumab trials were pooled for post hoc analysis (GSK Study 217382): BLISS-52 (NCT00424476), BLISS-76 (NCT00410384), BLISS-SC (NCT01484496) and EMBRACE (NCT01632241). Patients with baseline organ system involvement were classed as organ system responders if SELENA-SLEDAI scores for that organ system decreased at any post-baseline visit. HRQoL (36-Item Short Form Health Survey version 2 (SF-36v2)) and fatigue (Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-Fatigue)) changes over 52 weeks were compared between organ system responders and non-responders, and separately between belimumab versus placebo treatment arms among organ system responders. Group-level differences were compared using analysis of variance; differences were interpreted using published group-level minimal important difference (MID). RESULTS: In these post hoc analyses, musculoskeletal and mucocutaneous organ system responders had greater SF-36v2 improvements than non-responders across most SF-36v2 domains, but differences were largely MID), with FACIT-Fatigue also improving >MID for renal responders receiving belimumab. CONCLUSIONS: SLE disease burden differs with the organ system(s) involved. While these analyses are limited by mutual inclusivity of organ system groupings, differing patient numbers between groups and small numbers in some groups, they suggest that mucocutaneous and musculoskeletal organ system response improves SF-36v2 domain scores; cardiovascular and respiratory organ system response may meaningfully improve fatigue; and belimumab may offer additional HRQoL or fatigue benefits beyond standard therapy for musculoskeletal and renal responders.

Characterizing health-related quality of life and identifying disease predictors among patients suspected of having long COVID: an analysis of COMET-ICE clinical trial data.

Introduction: Long COVID affects health-related quality of life (HRQoL). Here, we investigate the extent to which symptoms experienced during the acute phase of COVID-19 are significant predictors of the presence of long COVID at 12 weeks. Methods: Post-hoc analysis of COMET-ICE trial data, which assessed sotrovimab vs. placebo for treatment of mild-to-moderate COVID-19 among high-risk patients. Patient-reported outcome measures were completed during the trial, including the inFLUenza Patient-Reported Outcome Plus (FLU-PRO Plus), the 12-Item Short Form (SF-12) Hybrid questionnaire, and the Work Productivity and Activity Impairment Questionnaire: General Health (WPAI:GH). COVID-19 symptoms and impacts (measured by the FLU-PRO Plus) and HRQoL (measured by SF-12 Hybrid and WPAI:GH) were compared between the acute phase (Days 1-21 and 29) and long-COVID phase (at Week 12) among patients with and without long COVID based on COMET-ICE data. Subgroups experiencing long COVID were derived using "All," "Returning," and "Persisting" symptomatic definitions. Long-COVID predictors were identified using a multivariate logistic regression model; odds ratios (ORs) and 95% CIs were calculated. Results: Long-COVID subgroups had significantly higher baseline scores for most FLU-PRO Plus domains and Total Score compared with the non-long-COVID group. WPAI:GH and SF-12 Hybrid scores generally showed significantly more impairment for the long-COVID subgroups at baseline and Week 12 vs. the non-long-COVID group. In the univariate analyses, all FLU-PRO Plus domains were significant predictors of long COVID (all p < 0.05), with the exception of the Sense domain. Older age increased the risk of long COVID (OR 1.02, 95% CI 1.00-1.04, p < 0.05). Non-White patients were significantly less likely to have long COVID by the Returning and Persisting definitions vs. White patients (all p < 0.05). In the multivariate analysis, higher scores for the Nose domain (ORs 3.39-5.60, all p < 0.01) and having COPD (ORs 3.75-6.34, all p < 0.05) were significant long-COVID predictors. Conclusion: Patients who progressed to long COVID had higher symptom severity during the acute disease phase and showed significantly greater negative impact on HRQoL over an extended time period from initial infection through at least the subsequent 3 months. The FLU-PRO Plus Nose domain and having COPD were significant predictors of long COVID.

Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis.

Digital measures of health status captured during daily life could greatly augment current in-clinic assessments for rheumatoid arthritis (RA), to enable better assessment of disease progression and impact. This work presents results from weaRAble-PRO, a 14-day observational study, which aimed to investigate how digital health technologies (DHT), such as smartphones and wearables, could augment patient reported outcomes (PRO) to determine RA status and severity in a study of 30 moderate-to-severe RA patients, compared to 30 matched healthy controls (HC). Sensor-based measures of health status, mobility, dexterity, fatigue, and other RA specific symptoms were extracted from daily iPhone guided tests (GT), as well as actigraphy and heart rate sensor data, which was passively recorded from patients' Apple smartwatch continuously over the study duration. We subsequently developed a machine learning (ML) framework to distinguish RA status and to estimate RA severity. It was found that daily wearable sensor-outcomes robustly distinguished RA from HC participants (F1, 0.807). Furthermore, by day 7 of the study (half-way), a sufficient volume of data had been collected to reliably capture the characteristics of RA participants. In addition, we observed that the detection of RA severity levels could be improved by augmenting standard patient reported outcomes with sensor-based features (F1, 0.833) in comparison to using PRO assessments alone (F1, 0.759), and that the combination of modalities could reliability measure continuous RA severity, as determined by the clinician-assessed RAPID-3 score at baseline (r2, 0.692; RMSE, 1.33). The ability to measure the impact of the disease during daily life-through objective and remote digital outcomes-paves the way forward to enable the development of more patient-centric and personalised measurements for use in RA clinical trials.

Meaningful score changes for SF-36v2, FACIT-fatigue, and RASIQ in rheumatoid arthritis.

BACKGROUND: Interpretation thresholds for patient-reported outcome (PRO) scores are of crucial importance, particularly when interpreting treatment benefit. This study was designed to determine the within-patient meaningful improvement (WPMI) thresholds for the Short-Form 36 Health Survey version 2 (SF-36v2), the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-Fatigue), and the novel Rheumatoid Arthritis Symptoms and Impact Questionnaire (RASIQ) among patients with rheumatoid arthritis (RA). METHODS: In this post-hoc analysis, anchor-based and supportive distribution-based methods were used to derive WPMI based on blinded data from all treatment arms in two Phase 2 RA trials with otilimab. Patient's Global Assessment of Disease Activity (PtGA) was the general anchor for all SF-36v2 scales. SF-36 Patient's Global Impression of Status (PGIS), PtGA, and VT03 (an SF-36v2 item) were used as anchors for FACIT-Fatigue. SF-36 PGIS, PtGA, and Patient's Assessment of Arthritis Pain (PAIN) were anchors for RASIQ. Mean change was calculated for the anchor category associated with minimal meaningful improvement from baseline to Week 24 for SF-36v2 and FACIT-Fatigue, and to Week 12 for RASIQ. Sensitivity and specificity were used to evaluate the accuracy of estimated WPMI values. RESULTS: For the SF-36v2 physical functioning, role physical, bodily pain, general health, vitality, social functioning, role emotional, and mental health domains, anchor-based estimates of WPMI based on 0-100 scores were 24.5, 24.5, 25.4, 13.6, 21.5, 20.5, 16.9, and 14.3, respectively. Anchor-based WPMI estimates were 9.7 for the Physical Component Summary score and 7.6 for the Mental Component Summary score (using norm-based T-score metric). For FACIT-Fatigue (range 0-52), WPMI estimates ranged from 9.7 to 11.3 points. For RASIQ (range 0-100), anchor-based WPMI was determined as a change between -32.7 and -21.7 points for the Joint Pain scale, -26.7 to -23.7 for the Joint Stiffness scale, and -21.1 to -17.4 for the Impact scale. CONCLUSIONS: This study derived WPMI thresholds for SF-36v2, FACIT-Fatigue, and RASIQ among patients with RA, using multiple anchors. Derivation of WPMI thresholds for these PRO instruments will enable their broader use in evaluating and interpreting treatment benefit in future RA studies.

When assessing medical treatments in clinical trials, it is important to understand whether the treatment improves symptoms or impacts of a disease to an extent which is meaningful for patients. Patients are often asked to complete questionnaires about their symptoms throughout clinical trials to measure if and how symptoms change. Questionnaire responses are used to calculate a score that is compared before and after treatment. This study was designed to investigate how much scores in three questionnaires (SF-36v2, FACIT-Fatigue, and RASIQ) changed for patients with rheumatoid arthritis who reported experiencing meaningful symptom improvement based on data from two clinical trials. As the RASIQ is a new questionnaire that was designed specifically for rheumatoid arthritis, this research is particularly important for interpretation of RASIQ results.

A concept elicitation study to understand the relationship between sleep and pain in rheumatoid arthritis and axial spondyloarthritis.

PURPOSE: This qualitative study (GSK study: 213635) was designed to better understand sleep disturbance as experienced by individuals with rheumatoid arthritis (RA) or axial spondyloarthritis (axSpA), and the relationship between sleep disturbance and pain and other aspects of the disease and disease activity. METHODS: Sixty-minute, one-on-one, concept elicitation interviews were conducted with 30 participants (15 with RA and 15 with axSpA) from the US. Interviews were audio-recorded and transcribed verbatim. Interview transcripts were coded and analyzed to explore themes related to pain and sleep disturbance, and relationships among those themes. RESULTS: Pain was a prominent driver of sleep disturbance; 12 participants with RA (80%) and 14 with axSpA (93%) reported that pain impacted their ability to fall asleep, while all 15 with RA (100%) and 14 with axSpA (93%) reported that pain impacted their ability to stay asleep. Two-thirds of participants with RA (67%) or axSpA (60%) described a bi-directional relationship, whereby pain worsened sleep disturbance and sleep disturbance further aggravated pain. Factors other than pain, such as fatigue and emotional health, were also reported as important contributors to sleep disturbance (RA: n = 12/15, 80%; axSpA: n = 14/15, 93%). Participants with RA or axSpA described complex interconnections between fatigue, emotional health, pain, and sleep, often labeling these relationships as "vicious cycles". Notably, half of all participants reported sleep disturbance occurring without pain or other understood causes. CONCLUSION: These perspectives collected from people with RA or axSpA suggest that reducing sleep disruption directly may offer clinically relevant benefits.

Patient-centric assessment of rheumatoid arthritis using a smartwatch and bespoke mobile app in a clinical setting.

Rheumatoid arthritis (RA) is a fluctuating progressive disease requiring frequent symptom assessment for appropriate management. Continuous tracking using digital technologies may provide greater insights of a patient's experience. This prospective study assessed the feasibility, reliability, and clinical utility of using novel digital technologies to remotely monitor participants with RA. Participants with moderate to severe RA and non-RA controls were monitored continuously for 14 days using an iPhone with an integrated bespoke application and an Apple Watch. Participants completed patient-reported outcome measures and objective guided tests designed to assess disease-related impact on physical function. The study was completed by 28 participants with RA, 28 matched controls, and 2 unmatched controls. Completion rates for all assessments were > 97% and were reproducible over time. Several guided tests distinguished between RA and control cohorts (e.g., mean lie-to-stand time [seconds]: RA: 4.77, control: 3.25; P < 0.001). Participants with RA reporting greater stiffness, pain, and fatigue had worse guided test performances (e.g., wrist movement [P < 0.001] and sit-to-stand transition time [P = 0.009]) compared with those reporting lower stiffness, pain, and fatigue. This study demonstrates that digital technologies can be used in a well-controlled, remote clinical setting to assess the daily impact of RA.

Development of a Conceptual Model to Understand Disease Burden in Patients With Systemic Lupus Erythematosus and Organ Damage.

Background: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that can lead to irreversible organ damage (OD). Data describing the patient burden of OD, as compared with SLE without OD, are limited. Objective: To develop a comprehensive conceptual model describing the burden experienced by patients living with SLE-associated OD. Methods: There were three phases to this qualitative study. First, a targeted literature review was conducted to inform a draft conceptual model. Second, key opinion leaders (KOLs) were interviewed to assess the draft conceptual model and help shape patient interview materials. Third, patients of different demographic backgrounds from across the United States were interviewed individually to gather their perspectives on living with SLE-associated OD. Data from concept elicitation interviews with KOLs and patients were coded and analyzed using NVivo software to identify the key concepts of the overall patient burden of SLE-associated OD. Findings from the KOL and patient interviews were used to finalize the conceptual model. Results: KOLs highlighted that SLE-associated OD carried a higher rate of mortality than SLE alone. Participants with SLE-associated OD (n = 40) experienced detrimental impacts across 4 areas of their lives: physical, cognitive, psychosocial functioning, and economic and work-related well-being. Physical impacts were described by all participants, often affecting their ability to perform everyday tasks. Many also described deterioration of cognitive functioning. Almost all participants experienced emotional impacts and challenges to their relationships and social lives resulting from living with SLE-associated OD. Additionally, SLE-associated OD imposed an economic burden including increased healthcare costs. SLE-associated OD had a more severe and debilitating impact on all aspects of the patient's quality of life than SLE prior to OD development, including further limitations in activities of daily living after the development of OD. Discussion: Study findings guided the development of a comprehensive conceptual model that fully represents the patient experience of living with SLE-associated OD, highlighting the additional burden of OD when compared with SLE alone. Conclusions: The conceptual model will inform improvements in disease management, which may result in better patient outcomes and aid development of clinical outcome assessments of disease burden.

From Meaningful Outcomes to Meaningful Change Thresholds: A Path to Progress for Establishing Digital Endpoints.

This paper examines the use of digital endpoints (DEs) derived from digital health technologies (DHTs), focusing primarily on the specific considerations regarding the determination of meaningful change thresholds (MCT). Using DHTs in drug development is becoming more commonplace. There is general acceptance of the value of DHTs supporting patient-centric trial design, capturing data outside the traditional clinical trial setting, and generating DEs with the potential to be more sensitive to change than conventional assessments. However, the transition from exploratory endpoints to primary and secondary endpoints capable of supporting labeling claims requires these endpoints to be substantive with reproducible population-specific values. Meaningful change represents the amount of change in an endpoint measure perceived as important to patients and should be determined for each digital endpoint and given population under consideration. This paper examines existing approaches to determine meaningful change thresholds and explores examples of these methodologies and their use as part of DE development: emphasizing the importance of determining what aspects of health are important to patients and ensuring the DE captures these concepts of interest and aligns with the overarching endpoint strategy. Examples are drawn from published DE qualification documentation and responses to qualification submissions under review by the various regulatory authorities. It is the hope that these insights will inform and strengthen the development and validation of DEs as drug development tools, particularly for those new to the approaches to determine MCTs.

Qualitative concept elicitation and cognitive debriefing interviews of symptoms, impacts and selected customized PROMIS® Short Forms: a study in patients with axial spondyloarthritis.

BACKGROUND: Sleep disturbance, pain, and fatigue are key symptoms/impacts of axial spondyloarthritis (axSpA). Three customized Patient-Reported Outcomes Measurement Information System (PROMIS®) Short Forms (Sleep Disturbance, Pain Interference, and Fatigue) have been proposed for use in axSpA to assess these key disease concepts. This study was designed to further understand the patient experience of axSpA and evaluate the content validity of the three customized PROMIS® Short Forms to support their use in axSpA clinical trials. METHODS: Non-interventional, cross-sectional, qualitative (concept elicitation [CE] and cognitive debriefing [CD]) study. Participants took part in 90-min telephone interviews. The CE section used open-ended questions to elicit information about axSpA symptoms and impacts. The CD section involved a 'think-aloud' exercise where participants read out each instruction, item, and response option for the customized PROMIS® Short Forms and shared their feedback. Participants also discussed the relevance of the items, response options and recall period. Verbatim interview transcripts were subject to thematic and content analysis. RESULTS: In total, there were 28 participants (non-radiographic axSpA, n = 12; ankylosing spondylitis, n = 16), from the US (n = 20) and Germany (n = 8). Mean age was 52.8 years, and 57% were male; mean time since diagnosis was 9.5 years. The CE section identified 12 distinct symptoms that characterized axSpA: pain, sleep problems, fatigue/tiredness, stiffness, swelling, vision/eye issues, restricted body movements, headache/migraine, spasms, change in posture/stature, balance/coordination problems, and numbness. Pain, sleep problems, and fatigue/tiredness were experienced by ≥ 90% of participants, occurring simultaneously and exacerbating one another. Participants reported axSpA impacted their lives across six domains of health-related quality of life (HRQoL): physical functioning (100%), emotional wellbeing (89%), work/volunteering (79%), social functioning (75%), activities of daily living (61%) and cognitive functioning (54%). Impacts were most frequently associated with pain, stiffness, and fatigue. CD showed the PROMIS® instruments were conceptually comprehensive and well understood, with all items relevant to ≥ 50% of participants. CONCLUSIONS: Pain, sleep problems and fatigue are pivotal symptoms of axSpA and associated with HRQoL impacts. These results were used to update a conceptual model of axSpA which was originally developed based on a targeted literature review. Interpretability and content validity of the customized PROMIS® Short Forms were confirmed, with each deemed to adequately assess key impacts associated with axSpA, making them suitable for use in axSpA clinical trials.

Validation of the PROFAD-SSI-SF in Patients with Primary Sjögren's Syndrome with Organ Involvement: Results of Qualitative Interviews and Psychometric Analyses.

INTRODUCTION: The Profile of Fatigue and Discomfort-Sicca Symptoms Inventory-Short Form (PROFAD-SSI-SF) is a 19-item patient-reported outcome (PRO) measure to assess pain, fatigue, and dryness in patients with primary Sjögren's syndrome (pSS). This analysis identified concepts important to measure, and evaluated the content validity and measurement properties of the PROFAD-SSI-SF, in patients with pSS. METHODS: Qualitative analyses (GSK Study 208396) used transcripts from an online concept elicitation (CE) discussion forum with patients with pSS and interviews with key opinion leaders (KOLs) to finalize a disease model depicting important concepts for patients with pSS. Cognitive debriefing (CD) interviews with patients with pSS were conducted to further evaluate the content validity of the PROFAD-SSI-SF. Quantitative analyses (GSK Study 213253) used post hoc analyses of blinded data from a phase 2 trial to assess PROFAD-SSI-SF measurement properties. RESULTS: The CE discussion forum (N = 46) revealed dryness (oral 87.0%, ocular 73.9%, cutaneous 37.0%, vaginal 23.9%, nasal 15.2%, otic 6.5%), pain (89.1%), and fatigue (87.0%) as the most reported symptoms. KOLs (N = 5) found the concepts identified in the disease model accurate and understandable, and confirmed that PROs used in pSS studies should focus on dryness, joint pain, and fatigue. In the CD interviews (N = 20), of the 19 participants asked, all found the PROFAD-SSI-SF easy to understand, and 14/19 items were considered relevant by ≥ 18/20 participants. The quantitative analyses found an acceptable fit of the PROFAD-SSI-SF factor structure, with adequate internal consistency, test-retest reliability, convergent validity with other PRO measures, known-groups validity with Patient Global Assessment, and ability to detect change in patients with pSS. CONCLUSION: The final disease model confirmed that the PROFAD-SSI-SF assesses concepts that are relevant and important to patients with pSS. Our findings support the content validity and measurement properties of the PROFAD-SSI-SF as a fit-for-purpose PRO measure appropriate for use in clinical trials in patients with pSS. CLINICAL TRIAL REGISTRATION NUMBER FOR THE PHASE 2 TRIAL: Clinicaltrials.gov NCT02631538.

Primary Sjögren's syndrome (pSS) is a disease where the immune system attacks the body, causing a number of symptoms, most notably dryness (sicca) of the eyes and mouth. The Profile of Fatigue and Discomfort­Sicca Symptoms Inventory­Short Form (PROFAD-SSI-SF) is a questionnaire for patients with pSS that asks about their symptoms. This paper evaluates how relevant the PROFAD-SSI-SF questions are to patients with pSS, and how consistently and accurately the questionnaire can measure changes in their symptoms. We reviewed information about the symptoms and impacts of pSS from an online discussion forum for patients with pSS. Patients said that dryness, fatigue, and pain were the symptoms that most affected their day-to-day lives and well-being. We combined this information with previous research on pSS to design a diagram explaining the key symptoms and day-to-day impacts of pSS, which was reviewed by five experts in pSS. In doing so, we aimed to confirm whether the most important things to patients about living with pSS are asked in the PROFAD-SSI-SF questionnaire. Next, we asked 20 patients with pSS how easy they found the PROFAD-SSI-SF to complete and if any important concepts were missing; they reported that the PROFAD-SSI-SF was easy to fill in and that the important questions were included. Finally, we looked at data from a clinical trial that used the PROFAD-SSI-SF and found it accurately measures changes in symptoms of patients with pSS. This means that the PROFAD-SSI-SF could be used in clinical trials to help assess new medicines for pSS.

Comparing patient global impression of severity and patient global impression of change to evaluate test-retest reliability of depression, non-small cell lung cancer, and asthma measures.

PURPOSE: Score reproducibility is an important measurement property of fit-for-purpose patient-reported outcome (PRO) measures. It is commonly assessed via test-retest reliability, and best evaluated with a stable participant sample, which can be challenging to identify in diseases with highly variable symptoms. To provide empirical evidence comparing the retrospective (patient global impression of change [PGIC]) and current state (patient global impression of severity [PGIS]) approaches to identifying a stable subgroup for test-retest analyses, 3 PRO Consortium working groups collected data using both items as anchor measures. METHODS: The PGIS was completed on Day 1 and Day 8 + 3 for the depression and non-small cell lung cancer (NSCLC) studies, and daily for the asthma study and compared between Day 3 and 10. The PGIC was completed on the final day in each study. Scores were compared using an intraclass correlation coefficient (ICC) for participants who reported "no change" between timepoints for each anchor. RESULTS: ICCs using the PGIS "no change" group were higher for depression (0.84 vs. 0.74), nighttime asthma (0.95 vs. 0.53) and daytime asthma (0.86 vs. 0.68) compared to the PGIC "no change" group. ICCs were similar for NSCLC (PGIS: 0.87; PGIC: 0.85). CONCLUSION: When considering anchor measures to identify a stable subgroup for test-retest reliability analyses, current state anchors perform better than retrospective anchors. Researchers should carefully consider the type of anchor selected, the time period covered, and should ensure anchor content is consistent with the target measure concept, as well as inclusion of both current and retrospective anchor measures.

Health-related quality of life, fatigue and health utilities in lupus nephritis: A systematic literature review.

BACKGROUND: Systemic lupus erythematosus (SLE) is a chronic, autoimmune disease characterized by abnormal B-cell activation and the presence of autoantibodies, which can result in organ damage. Lupus nephritis (LN) is the most common severe organ manifestation of SLE and may result in impaired kidney function. However, there is limited research on the health-related quality of life (HRQoL) burden amongst patients with LN. The objective of this systematic literature review was to assess the HRQoL, fatigue and health utilities associated with LN. METHODS: A structured literature search (GSK Study 212980) of the MEDLINE and Embase databases was conducted in July 2019 and updated September 2021. Relevant international congress abstracts from 2016 to 2021 were searched, and gray literature searches and keyword-based searches in PubMed, Google, and Google Scholar were also conducted. Results were screened according to predefined criteria and data on the outcomes of interest were extracted. A quantitative analysis was conducted to supplement the narrative review, to provide 36-item Short Form survey (SF-36) estimates, and to determine variation by prognostic factors. RESULTS: Of 1155 articles identified, 26 studies for a total of 3440 patients were included. Patients with LN showed poorer HRQoL and more fatigue than healthy controls/the general population, although these were similar between patients with SLE with and without LN. HRQoL was worse in patients with LN Class III/IV or with active disease. Fatigue was generally reported as the most burdensome symptom and was associated with lower HRQoL and increased treatment dissatisfaction. During induction treatment, HRQoL and fatigue were improved with mycophenolate mofetil versus cyclophosphamide. HRQoL improved over time with treatment amongst patients with active LN. Very limited data were identified assigning utilities to health states for cost-effectiveness analysis. Nine studies were considered for quantitative analysis of baseline SF-36 scores. The analysis suggested that LN has a significant impact across all SF-36 domains, with the lowest scores in the general health perceptions and role-physical domains and physical component summary. CONCLUSIONS: There is a large HRQoL burden in patients with LN, in particular regarding symptoms of fatigue. Future research should focus on investigating fatigue severity and health utilities in LN.

Assessing the Inclusion of Foil Items in a Scale to Measure Recognition of Health Messages.

Researchers frequently measure recognition of information in health messages by presenting participants with statements that were or were not in a message and then asking them to identify which were presented and which were not. Recognition scales are then calculated by summing the correct responses to both the true items and foils, or by summing the correct responses to the true items only. We used a sequence of psychometric analyses, including factor analysis and item response theory (IRT) analysis, to evaluate two recognition measures of this type, using data from previously published studies. We found that foils are less associated with true items than true items are with one another, or more practically, that foils are less associated with the underlying dimension of interest. These results provide researchers with insight into how recognition items function, as well as a better analytic approach for use in future studies.

Macrophage Activation Syndrome in a Case of Myasthenia Gravis with Concurrent Cytomegalovirus Infection.

OBJECTIVE: Macrophage activation syndrome (MAS) or reactive hemophagocytic lymphohistiocytosis (HLH) refers to a set of clinical symptoms caused by the excessive activation and proliferation of macrophages. It was linked with autoimmune disease such as systemic-onset juvenile rheumatoid arthritis, systemic lupus erythematosus, rheumatoid arthritis, and dermatomyositis, etc. Herein we report a case of myasthenia gravis (MG) with concurrent cytomegalovirus (CMV) infection developed MAS. CASE REPORT: A 31-year-old female with history of MG for 2 years under stable control with azathioprine and prednisolone. She presented with persistent high fever for 2 weeks after an upper respiratory infection. Lab data revealed pancytopenia, elevated triglyceride, ferritin and C-reactive protein (CRP). A bone marrow aspiration confirmed hemophagocytosis. Investigation for occult infection revealed her plasma was positive for CMV IgG and IgM, and high for CMV viral load. She was then treated with 5 sessions of plasmapheresis and pulse steroid. Azathioprine was discontinued and replaced with cyclosporine. Gancylovir was given for her concurrent CMV infection. After 2 weeks of treatment, her fever gradually subsided, and her blood cell count, hepatobiliary enzymes, ferritin and CRP have returned to normal range. She was discharged in good recovery. CONCLUSION: MAS is a rare complication of systemic autoimmune disease with poor prognosis, which may be precipitated by concurrent infection. Early recognition of this syndrome and prompt immune modulation therapy is crucial for successful treatment.

State of the psychometric methods: patient-reported outcome measure development and refinement using item response theory.

BACKGROUND: This paper is part of a series comparing different psychometric approaches to evaluate patient-reported outcome (PRO) measures using the same items and dataset. We provide an overview and example application to demonstrate 1) using item response theory (IRT) to identify poor and well performing items; 2) testing if items perform differently based on demographic characteristics (differential item functioning, DIF); and 3) balancing IRT and content validity considerations to select items for short forms. METHODS: Model fit, local dependence, and DIF were examined for 51 items initially considered for the Patient-Reported Outcomes Measurement Information System® (PROMIS®) Depression item bank. Samejima's graded response model was used to examine how well each item measured severity levels of depression and how well it distinguished between individuals with high and low levels of depression. Two short forms were constructed based on psychometric properties and consensus discussions with instrument developers, including psychometricians and content experts. Calibrations presented here are for didactic purposes and are not intended to replace official PROMIS parameters or to be used for research. RESULTS: Of the 51 depression items, 14 exhibited local dependence, 3 exhibited DIF for gender, and 9 exhibited misfit, and these items were removed from consideration for short forms. Short form 1 prioritized content, and thus items were chosen to meet DSM-V criteria rather than being discarded for lower discrimination parameters. Short form 2 prioritized well performing items, and thus fewer DSM-V criteria were satisfied. Short forms 1-2 performed similarly for model fit statistics, but short form 2 provided greater item precision. CONCLUSIONS: IRT is a family of flexible models providing item- and scale-level information, making it a powerful tool for scale construction and refinement. Strengths of IRT models include placing respondents and items on the same metric, testing DIF across demographic or clinical subgroups, and facilitating creation of targeted short forms. Limitations include large sample sizes to obtain stable item parameters, and necessary familiarity with measurement methods to interpret results. Combining psychometric data with stakeholder input (including people with lived experiences of the health condition and clinicians) is highly recommended for scale development and evaluation.

Developing and Implementing Performance Outcome Assessments: Evidentiary, Methodologic, and Operational Considerations.

The use of performance outcome (PerfO) assessments to measure cognitive or physical function in drug trials presents several challenges for both sponsors and regulators, owing in part to a relative lack of scientific guidance on their development, implementation, and interpretation. In December 2016, the Duke-Margolis Center for Health Policy convened a 2-day workshop to explore the evidentiary, methodologic, and operational challenges associated with PerfO measures, and to identify potential paths to addressing these challenges. This paper presents both a summary of the discussion as well as additional input from a working group of experts from FDA, industry, academia, and public-private consortia. It is intended to advance the discussion around the development and use of PerfO measures to assess patient functioning in clinical trials intended to support registration of new treatments, and to highlight the key gaps in knowledge where additional research, collaboration, and discussion are needed.

Plasma Translocator Protein Levels and Outcomes of Acute Ischemic Stroke: A Pilot Study.

Translocator protein 18 kDa (TSPO) has been used as a biomarker of brain injury and inflammation in various neurological diseases. In this study, we measured the level of TSPO in acute ischemic stroke patients and determined its association with the degree of stroke severity and its ability to predict stroke functional outcomes. In total, 38 patients with moderate to severe acute ischemic stroke were enrolled. Demographic information, cerebral risk factors, and stroke severity were examined at the baseline. The National Institutes of Health Stroke Scale, modified Rankin Scale, and Barthal Index were assessed at discharge as measures of poor functional outcomes and severe disability. The baseline fasting plasma TSPO level was assessed within 24 h after the incident stroke and during hospitalization (on days 8-10). The proportion of patients with poor functional outcomes was significantly higher in the higher-TSPO group (compared to the lower group) in terms of clinical worsening (odds ratio (OR) = 11.69, 95% confidence interval (CI) = 2.08-65.6), poor functional outcomes (OR = 10.5, 95% CI = 1.14-96.57), and severe disability (OR = 4.8, 95% CI = 1.20-19.13). Plasma TSPO may be intimately linked with disease progression and worse functional outcomes in acute ischemic stroke patients.

Bitter melon seed oil increases mitochondrial content in gastrocnemius muscle and improves running endurance in sedentary C57BL/6J mice.

The α-eleostearic acid (α-ESA) in bitter melon seed oil (BMSO) is efficiently converted by the body into rumenic acid. The objective of this study was to investigate effects of BMSO on skeletal muscle fiber-type switch and endurance capacity in mice, with or without exercise training. In a 3×2 factorial design, C57BL/6J mice were fed a 30% high-fat diet composed of soybean oil, butter or a 1:1 mixture of BMSO and soybean oil, i.e., SB, BT and BM diets, respectively, and were allocated to be sedentary or undergo exercise (Ex). The Ex groups received a 15-min training regimen on a motorized treadmill 5 times a week. After 3-week intervention, endurance capacity was evaluated (total running time and distance until exhaustion). Mice fed a BM diet had significantly less body fat, with increased muscle percentage and improved endurance capacity. Combining sedentary and Ex groups, mice fed a BM diet ran 33% longer and 50% further than those fed SB, or 25% longer and 36% further than those fed BT (P<.01). The BM-diet-increased gastrocnemius cytochrome c protein and mitochondrial DNA content was more prominent in sedentary than in trained mice. Histochemical staining shows sedentary BM-fed mice had a higher succinate dehydrogenase activity among groups. Based on a reporter assay, rumenic acid, rather than α-ESA itself, activated PPARδ ligand binding domain. We concluded that BMSO improved endurance capacity via stimulation of mitochondrial biogenesis and function, potentially influencing muscle metabolism and fiber-type composition in sedentary mice.

Characterization and epitope mapping of Dengue virus type 1 specific monoclonal antibodies.

BACKGROUND: Dengue virus (DV) infection causes a spectrum of clinical diseases ranging from dengue fever to a life-threatening dengue hemorrhagic fever. Four distinct serotypes (DV1-4), which have similar genome sequences and envelope protein (E protein) antigenic properties, were divided. Among these 4 serotypes, DV1 usually causes predominant infections and fast diagnosis and effective treatments are urgently required to prevent further hospitalization and casualties. METHODS: To develop antibodies specifically targeting and neutralizing DV1, we immunized mice with UV-inactivated DV1 viral particles and recombinant DV1 E protein from residue 1 to 395 (E395), and then generated 12 anti-E monoclonal antibodies (mAbs) as the candidates for a series of characterized assays such as ELISA, dot blot, immunofluorescence assay, western blot, and foci forming analyses. RESULTS: Among the mAbs, 10 out of 12 showed cross-reactivity to four DV serotypes as well as Japanese encephalitis virus (JEV) in different cross-reactivity patterns. Two particular mAbs, DV1-E1 and DV1-E2, exhibited strong binding specificity and neutralizing activity against DV1 and showed no cross-reactivity to DV2, DV3, DV4 or JEV-infected cells as characterized by ELISA, dot blot, immunofluorescence assay, western blot, and foci forming analyses. Using peptide coated indirect ELISA, we localized the neutralizing determinants of the strongly inhibitory mAbs to a sequence-unique epitope on the later-ridge of domain III of the DV1 E protein, centered near residues T346 and D360 (346TQNGRLITANPIVTD360). Interestingly, the amino acid sequence of the epitope region is highly conserved among different genotypes of DV1 but diverse from DV2, DV3, DV4 serotypes and other flaviviruses. CONCLUSIONS: Our results showed two selected mAbs DV1-E1 and DV1-E2 can specifically target and significantly neutralize DV1. With further research these two mAbs might be applied in the development of DV1 specific serologic diagnosis and used as a feasible treatment option for DV1 infection. The identification of DV1 mAbs epitope with key residues can also provide vital information for vaccine design.

The anti-adiposity effect of bitter melon seed oil is solely attributed to its fatty acid components.

BACKGROUND: Obesity is the leading chronic disease affecting people of all ages. The objective of this study was to optimize composition of a bitter melon seed oil (BMSO) product to maximize its anti-adiposity effect. METHODS: Bleaching oil, saponifiables and non-saponifiables were prepared from BMSO, with α-eleostearic acid (α-ESA) content in BMSO maintained in bleaching oil and saponifiables. C57BL/6 J mice were allocated into five groups (n = 10/group) to receive diet C [30% soybean oil (SBO)], BM [25% SBO + 5% BMSO], BMS, BMNS or BMD. For the three latter diets, saponifiables (hydrolyzed fatty acids from BMSO), non-saponifiables (excluding fatty acids from BMSO) or bleaching oil (excluding pigments from BMSO), respectively, were added in amount equivalent to their content in 5% BMSO and SBO was added to bring total fat to 30%. After 14 wk., indices associated with adiposity and safety, as well as lipid metabolic signaling in white adipose tissue (WAT), were measured. RESULTS: The body fat percentage of mice in group BM, BMS, BMNS, and BMD were 90 ± 26, 76 ± 21, 115 ± 30 and 95 ± 17% of that in group C. Based on body fat percentage and plasma leptin concentrations, an anti-adiposity effect was evident in groups BM, BMS and BMD (greatest effect in BMS). Histologically, inguinal fat had smaller adipocytes in groups BM, BMS and BMD (P < 0.05), but not in group BMNS, relative to group C. There were no differences among groups in blood pressure or heart rate. Moreover, Sirt1 mRNA levels in inguinal fat were significantly greater in groups BM, BMS and BMD than group C. CONCLUSION: We concluded that the anti-adiposity function of BMSO was solely attributed to the fatty acid fraction, with the free fatty acid form having the greatest effect.