Management of Fatigue in Adult Survivors of Cancer: ASCO-Society for Integrative Oncology Guideline Update.

PURPOSE: To update the ASCO guideline on the management of cancer-related fatigue (CRF) in adult survivors of cancer. METHODS: A multidisciplinary panel of medical oncology, geriatric oncology, internal medicine, psychology, psychiatry, exercise oncology, integrative medicine, behavioral oncology, nursing, and advocacy experts was convened. Guideline development involved a systematic literature review of randomized controlled trials (RCTs) published in 2013-2023. RESULTS: The evidence base consisted of 113 RCTs. Exercise, cognitive behavioral therapy (CBT), and mindfulness-based programs led to improvements in CRF both during and after the completion of cancer treatment. Tai chi, qigong, and American ginseng showed benefits during treatment, whereas yoga, acupressure, and moxibustion helped to manage CRF after completion of treatment. Use of other dietary supplements did not improve CRF during or after cancer treatment. In patients at the end of life, CBT and corticosteroids showed benefits. Certainty and quality of evidence were low to moderate for CRF management interventions. RECOMMENDATIONS: Clinicians should recommend exercise, CBT, mindfulness-based programs, and tai chi or qigong to reduce the severity of fatigue during cancer treatment. Psychoeducation and American ginseng may be recommended in adults undergoing cancer treatment. For survivors after completion of treatment, clinicians should recommend exercise, CBT, and mindfulness-based programs; in particular, CBT and mindfulness-based programs have shown efficacy for managing moderate to severe fatigue after treatment. Yoga, acupressure, and moxibustion may also be recommended. Patients at the end of life may be offered CBT and corticosteroids. Clinicians should not recommend L-carnitine, antidepressants, wakefulness agents, or routinely recommend psychostimulants to manage symptoms of CRF. There is insufficient evidence to make recommendations for or against other psychosocial, integrative, or pharmacological interventions for the management of fatigue.Additional information is available at www.asco.org/survivorship-guidelines.

The effects of telehealth-delivered mindfulness meditation, cognitive therapy, and behavioral activation for chronic low back pain: a randomized clinical trial.

BACKGROUND: Chronic low back pain (CLBP) is a significant problem affecting millions of people worldwide. Three widely implemented psychological techniques used for CLBP management are cognitive therapy (CT), mindfulness meditation (MM), and behavioral activation (BA). This study aimed to evaluate the relative immediate (pre- to post-treatment) and longer term (pre-treatment to 3- and 6-month follow-ups) effects of group, videoconference-delivered CT, BA, and MM for CLBP. METHODS: This is a secondary analysis of a three-arm, randomized clinical trial comparing the effects of three active treatments-CT, BA, and MM-with no inert control condition. Participants were N = 302 adults with CLBP, who were randomized to condition. The primary outcome was pain interference, and other secondary outcomes were also examined. The primary study end-point was post-treatment. Intent-to-treat analyses were undertaken for each time point, with the means of the changes in outcomes compared among the three groups using an analysis of variance (ANOVA). Effect sizes and confidence intervals are also reported. RESULTS: Medium-to-large effect size reductions in pain interference were found within BA, CT, and MM (ds from - .71 to - 1.00), with gains maintained at both follow-up time points. Effect sizes were generally small to medium for secondary outcomes for all three conditions (ds from - .20 to - .71). No significant between-group differences in means or changes in outcomes were found at any time point, except for change in sleep disturbance from pre- to post-treatment, improving more in BA than MM (d = - .49). CONCLUSIONS: The findings from this trial, one of the largest telehealth trials of psychological treatments to date, critically determined that group, videoconference-delivered CT, BA, and MM are effective for CLBP and can be implemented in clinical practice to improve treatment access. The pattern of results demonstrated similar improvements across treatments and outcome domains, with effect sizes consistent with those observed in prior research testing in-person delivered and multi-modal psychological pain treatments. Thus, internet treatment delivery represents a tool to scale up access to evidence-based chronic pain treatments and to overcome widespread disparities in healthcare. TRIAL REGISTRATION: Clinicaltrials.gov, NCT03687762.

Assessing Patient Acceptance of an Automated Algorithm to Identify Ciswomen for HIV Pre-Exposure Prophylaxis.

The use of HIV pre-exposure prophylaxis (PrEP) in cisgender women (ciswomen) lags far behind their need. Data elements from the electronic medical record (EMR), including diagnosis of a sexually transmitted infection (STI), can be incorporated into automated algorithms for identifying clients who are most vulnerable to HIV and would benefit from PrEP. However, it is unknown how women feel about the use of such technology. In this study, we assessed women's attitudes and opinions about an automated EMR-based HIV risk algorithm and determined if their perspectives varied by level of HIV risk. Respondents were identified using best practice alerts or referral to a clinic for STI symptoms from January to December 2021 in Chicago, IL. Participants were asked about HIV risk factors, their self-perceived HIV risk, and their thoughts regarding an algorithm to identify ciswomen who could benefit from PrEP. Most of the 112 women who completed the survey (85%) thought they were at low risk for HIV, despite high rates of STI diagnoses. The majority were comfortable with the use of this algorithm, but their comfort level dropped when asked about the algorithm identifying them specifically. Ciswomen had mixed feelings about the use of an automated HIV risk algorithm, citing it as a potentially helpful and empowering tool for women, yet raising concerns about invasion of privacy and potential racial bias. Clinics must balance the benefits of using an EMR-based algorithm for ciswomen with their concerns about privacy and bias to improve PrEP uptake among particularly vulnerable women.

Initial development and psychometric properties of the Therapist Quality Scale.

PURPOSE/OBJECTIVE: This study sought to develop and evaluate the psychometric properties of a brief measure of the quality of therapist treatment delivery that would be applicable for use across different types of psychosocial chronic pain treatments: the Therapist Quality Scale (TQS). RESEARCH METHOD/DESIGN: An initial pool of 14 items was adapted from existing measures, with items selected that are relevant across interventions tested in a parent trial comparing an 8-week, group, Zoom-delivered mindfulness meditation, cognitive therapy, and behavioral activation for chronic back pain from which data for this study were obtained. A random selection of 25% of video-recorded sessions from each cohort was coded for therapist quality (two randomly selected sessions per group), with 66 sessions included in the final analyses (n = 33 completed pairs). Items were coded on a 7-point Likert-type scale. Exploratory factor analysis (EFA) and reliability estimates were generated. RESULTS: EFA showed a single-factor solution that provided a parsimonious explanation of the correlational structure for both sessions. Eight items with factor loadings of ≥ .60 in both sessions were selected to form the TQS. Reliability analyses demonstrated all items contributed to scale reliability, and internal consistency reliabilities were good (αs ≥ .86). Scores for the eight-item TQS from the two sessions were significantly correlated (r = .59, p < .001). CONCLUSIONS/IMPLICATIONS: The TQS provides a brief measure with preliminary psychometric support that is applicable for use across different types of treatments to rate the quality of the therapist's delivery. The items assess quality in delivering specific techniques, maintaining session structure, and in developing and maintaining therapeutic rapport. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Cognitive Therapy, Mindfulness-Based Stress Reduction, and Behavior Therapy for the Treatment of Chronic Pain: Predictors and Moderators of Treatment Response.

Psychosocial interventions for people with chronic pain produce significant improvements in outcomes, but these effects on average are modest with much variability in the benefits conferred on individuals. To enhance the magnitude of treatment effects, characteristics of people that might predict the degree to which they respond more or less well could be identified. People with chronic low back pain (N = 521) participated in a randomized controlled trial which compared cognitive therapy, mindfulness-based stress reduction, behavior therapy and treatment as usual. Hypotheses regarding predictors and/or moderators were based on the Limit, Activate, and Enhance model; developed to predict and explain moderators/predictors of psychosocial pain treatments. Results were: 1) low levels of cognitive/behavioral function at pre-treatment predicted favorable pre- to post-treatment outcomes; 2) favorable expectations of benefit from treatment and sound working alliances predicted favorable pre- to post-treatment outcomes; 3) women benefited more than men. These effects emerged without regard to treatment condition. Of note, high levels of cognitive/behavioral function at pre-treatment predicted favorable outcomes only for people in the treatment as usual condition. Analyses identified a set of psychosocial variables that may act as treatment predictors across cognitive therapy, mindfulness-based stress reduction and behavior therapy, as hypothesized by the Limit, Activate, and Enhance model if these 3 treatments operate via similar mechanisms. Findings point toward people who may and who may not benefit fully from the 3 psychosocial treatments studied here, and so may guide future research on matching people to these kinds of psychosocial approaches or to other (eg, forced-based interventions) non-psychosocial approaches. TRIAL REGISTRATION: The ClinicalTrials.gov Identifier is NCT02133976. PERSPECTIVE: This article examines potential predictors/moderators of response to psychosocial treatments for chronic pain. Results could guide efforts to match people to the most effective treatment type or kind.

Concurrent Testing for COVID-19 and HIV Infection at 6 High-Volume Emergency Departments in a Priority Jurisdiction for Ending the HIV Epidemic in the United States.

BACKGROUND: The COVID-19 pandemic caused disruptions in access to routine HIV screening. SETTING: We assess HIV and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing across 6 emergency departments (EDs) in Cook County, Illinois. METHODS: We retrospectively analyzed the number of SARS-CoV-2 tests, HIV screens, and the proportion of concurrent tests (encounters with both SARS-CoV-2 and HIV testing), correlating with diagnoses of new and acute HIV infection. RESULTS: Five sites reported data from March 1, 2020, to February 28, 2021, and 1 site from September 1, 2020, to February 28, 2021. A total of 1,13,645 SARS-CoV-2 and 36,094 HIV tests were performed; 17,469 of these were concurrent tests. There were 102 new HIV diagnoses, including 25 acute infections. Concurrent testing proportions ranged from 6.7% to 37% across sites (P < 0.001). HIV testing volume correlated with the number of new diagnoses (r = 0.66, P < 0.01). HIV testing with symptomatic SARS-CoV-2 testing was strongly correlated with diagnosis of acute infections (r = 0.87, P < 0.001); this was not statistically significant when controlling for HIV testing volumes (r = 0.59, P = 0.056). Acute patients were more likely to undergo concurrent testing (21/25) versus other new diagnoses (29/77; odds ratio = 8.69, 95% CI: 2.7 to 27.8, P < 0.001). CONCLUSIONS: Incorporating HIV screening into SARS-CoV-2 testing in the ED can help maintain HIV screening volumes. Although all patients presenting to the ED should be offered opt-out HIV screening, testing individuals with symptoms of COVID-19 or other viral illness affords the opportunity to diagnose symptomatic acute and early HIV infection, rapidly link to care, and initiate treatment.

Development of a predictive model for identifying women vulnerable to HIV in Chicago.

INTRODUCTION: Researchers in the United States have created several models to predict persons most at risk for HIV. Many of these predictive models use data from all persons newly diagnosed with HIV, the majority of whom are men, and specifically men who have sex with men (MSM). Consequently, risk factors identified by these models are biased toward features that apply only to men or capture sexual behaviours of MSM. We sought to create a predictive model for women using cohort data from two major hospitals in Chicago with large opt-out HIV screening programs. METHODS: We matched 48 newly diagnosed women to 192 HIV-negative women based on number of previous encounters at University of Chicago or Rush University hospitals. We examined data for each woman for the two years prior to either their HIV diagnosis or their last encounter. We assessed risk factors including demographic characteristics and clinical diagnoses taken from patient electronic medical records (EMR) using odds ratios and 95% confidence intervals. We created a multivariable logistic regression model and measured predictive power with the area under the curve (AUC). In the multivariable model, age group, race, and ethnicity were included a priori due to increased risk for HIV among specific demographic groups. RESULTS: The following clinical diagnoses were significant at the bivariate level and were included in the model: pregnancy (OR 1.96 (1.00, 3.84)), hepatitis C (OR 5.73 (1.24, 26.51)), substance use (OR 3.12 (1.12, 8.65)) and sexually transmitted infections (STIs) chlamydia, gonorrhoea, or syphilis. We also a priori included demographic factors that are associated with HIV. Our final model had an AUC of 0.74 and included healthcare site, age group, race, ethnicity, pregnancy, hepatitis C, substance use, and STI diagnosis. CONCLUSIONS: Our predictive model showed acceptable discrimination between those who were and were not newly diagnosed with HIV. We identified risk factors such as recent pregnancy, recent hepatitis C diagnosis, and substance use in addition to the traditionally used recent STI diagnosis that can be incorporated by health systems to detect women who are vulnerable to HIV and would benefit from preexposure prophylaxis (PrEP).

When I Think of Home: Black Families Supporting Their Children During the COVID-19 Pandemic.

Since the onset of the COVID-19 pandemic, economic crisis, and persistent systemic and structural racism have plagued Black communities. The continued physical and symbolic violence and murders of Black bodies are undeniable. As White institutions, schools are definite contributors to this brutality as they center the culture and realities of White children while ignoring or denigrating Black children. This is even evident in the undermining of Black families' efforts to prepare their children to face the inequities and injustices they experience in the U.S. In this article, we discuss Black families' engagement in their children's education amid threats through racial socialization research aimed at developing and validating Black children's perspectives, experiences, and realities in Black identity to promote their positive social-emotional and psychological development. Black families must know how to cultivate their child's healthy self-identity, voice, and agency, along with academic achievement. Schools should learn from these practices. Schools that choose to ignore these concepts will continue contributing to trauma and violence against Black children and maintain deficit-oriented views. The article includes examples and implications for teaching and supporting the well-being of Black children, and concludes with practical ideas that educators can learn from and integrate into their practices.

Cognitive therapy, mindfulness-based stress reduction, and behavior therapy for people with chronic low back pain: A comparative mechanisms study.

OBJECTIVE: Cognitive therapy (CT), mindfulness-based stress reduction (MBSR), and behavior therapy (BT) for chronic pain treatment produce outcome improvements. Evidence also suggests that changes in putative therapeutic mechanisms are associated with changes in outcomes. Nonetheless, methodological limitations preclude clear understanding of how psychosocial chronic pain treatments work. In this comparative mechanism study, we examined evidence for specific and shared mechanism effects across the three treatments. METHOD: CT, MBSR, BT, and treatment as usual (TAU) were compared in people with chronic low back pain (N = 521). Eight individual sessions were administered with weekly assessments of "specific" mechanisms (pain catastrophizing, mindfulness, behavior activation) and outcomes. RESULTS: CT, MBSR, and BT produced similar pre- to posttreatment effects on all mechanism variables, and all three active treatments produced greater improvements than TAU. Participant ratings of expectations of benefit and working alliance were similar across treatments. Lagged and cross-lagged analyses revealed that prior week changes in both mechanism and outcome factors predicted next week changes in their counterparts. Analyses of variance contributions suggested that changes in pain catastrophizing and pain self-efficacy were consistent unique predictors of subsequent outcome changes. CONCLUSIONS: Findings support the operation of shared mechanisms over specific ones. Given significant lagged and cross-lagged effects, unidirectional conceptualizations-mechanism to outcome-need to be expanded to include reciprocal effects. Thus, prior week changes in pain-related cognitions could predict next week changes in pain interference which in turn could predict next week changes in pain-related cognitions, in what may be an upward spiral of improvement. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Fluoride and gallein inhibit polyphosphate accumulation by oral pathogen Rothia dentocariosa.

The uptake and storage of extracellular orthophosphate (Pi) by polyphosphate (polyP) accumulating bacteria may contribute to mineral dissolution in the oral cavity. To test the effect of potential inhibitors of polyP kinases on Rothia dentocariosa, gallein (0, 25, 50, and 100 µM) and fluoride (0, 50, and 100 ppm) were added to R. dentocariosa cultures grown in brain-heart infusion broth. At a late log growth phase (8 h), extracellular Pi was measured using an ascorbic acid assay, and polyP was isolated from bacterial cells treated with RNA/DNAases using a neutral phenol/chloroform extraction. Extracts were hydrolyzed and quantified as above. Gallein and fluoride had minor effects on bacterial growth with NaF having a direct effect on media pH. Gallein (≥25 µM) and fluoride (≥50 ppm) attenuated the bacterial drawdown of extracellular Pi by 56.7% (P < 0.05) and 37.3% (P < 0.01). There was a corresponding polyP synthesis decrease of 73.2% (P < 0.0001) from gallein and 83.1% (P < 0.0001) from fluoride. Attenuated total reflectance-Fourier-transform infrared spectroscopy validated the presence of polyP and its reduced concentration in R. dentocariosa bacterial cells following gallein and fluoride treatment. Rothia dentocariosa can directly change extracellular Pi and accumulate intracellular polyP, but the mechanism is attenuated by gallein and NaF.

Cytomegalovirus Immunoglobulin G (IgG) Titer and Coronary Artery Disease in People With Human Immunodeficiency Virus (HIV).

BACKGROUND: Cytomegalovirus (CMV) infection is thought to result in increased immune activation in people with human immunodeficiency virus (HIV, PWH). Although some data have linked asymptomatic CMV infection to cardiovascular disease among PWH, it remains unknown whether CMV is associated with increased or high-risk coronary plaque. METHODS: The Randomized Trial to Prevent Vascular Events in HIV (REPRIEVE) enrolled PWH aged 40-75 years on stable antiretroviral therapy (ART) with low-to-moderate atherosclerotic cardiovascular disease (ASCVD) risk. Among a subset of US REPRIEVE participants, coronary plaque was assessed by coronary computed tomography angiography. Here, we assessed the relationship between CMV immunoglobulin G (IgG) titer and (1) levels of immune activation, (2) inflammatory biomarkers, and (3) coronary plaque phenotypes at study entry. RESULTS: Of 672 participants, mean age was 51 years, 83% were men, median ASCVD risk score was 4.5%, and 66% had current CD4+ T-cell count ≥500 cells/mm3. Higher CMV IgG quartile group was associated with older age and lower current and nadir CD4+ T-cell counts. CMV IgG titer was associated with specific inflammatory biomarkers (sCD163, MCP-1, interleukin [IL]-6, hsCRP) in univariate analysis, but not after controlling for HIV-specific factors. In contrast, CMV IgG titer was not associated with coronary artery disease indexes, including presence of plaque, coronary artery calcium (CAC) score >0, vulnerable plaque presence, or Leaman score >5. CONCLUSIONS: No meaningful association was seen between CMV IgG titer and coronary artery disease indexes among ART-treated PWH at study enrollment. Longitudinal assessments in REPRIEVE will determine the relationship of CMV IgG titer to plaque progression and cardiovascular events. CLINICAL TRIALS REGISTRATION: NCT02344290.

Bulk IgG glycosylation predicts COVID-19 severity and vaccine antibody response.

Although vaccination efforts have expanded, there are still gaps in our understanding surrounding the immune response to SARS-CoV-2. Measuring IgG Fc glycosylation provides insight into an infected individual's inflammatory state, among other functions. We set out to interrogate bulk IgG glycosylation changes from SARS-CoV-2 infection and vaccination, using plasma from mild or hospitalized COVID-19 patients, and from vaccinated individuals. Inflammatory glycans are elevated in hospitalized COVID-19 patients and increase over time, while mild patients have anti-inflammatory glycans that increase over time, including increased sialic acid correlating with RBD antibody levels. Vaccinated individuals with low RBD antibody levels and low neutralization have the same IgG glycan traits as hospitalized COVID-19 patients. In addition, a small vaccinated cohort reveals a decrease in inflammatory glycans associated with peak IgG concentrations and neutralization. This report characterizes the bulk IgG glycome associated with COVID-19 severity and vaccine responsiveness and can help guide future studies into SARS-CoV-2 protective immunity.

Divergent Antibody Repertoires Found for Omicron versus Wuhan SARS-CoV-2 Strains Using Ig-MS.

SARS-CoV-2 Omicron (B.1.1.529) and its subvariants are currently the most common variants of concern worldwide, featuring numerous mutations in the spike protein and elsewhere that collectively make Omicron variants more transmissible and more resistant to antibody-mediated neutralization provided by vaccination, previous infections, and monoclonal antibody therapies than their predecessors. We recently reported the creation and characterization of Ig-MS, a new mass spectrometry-based serology platform that can define the repertoire of antibodies against an antigen of interest at single proteoform resolution. Here, we applied Ig-MS to investigate the evolution of plasma antibody repertoires against the receptor-binding domain (RBD) of SARS-CoV-2 in response to the booster shot and natural viral infection. We also assessed the capacity for antibody repertoires generated in response to vaccination and/or infection with the Omicron variant to bind to both Wuhan- and Omicron-RBDs. Our results show that (1) the booster increases antibody titers against both Wuhan- and Omicron- RBDs and elicits an Omicron-specific response and (2) vaccination and infection act synergistically in generating anti-RBD antibody repertoires able to bind both Wuhan- and Omicron-RBDs with variant-specific antibodies.

Utility of the Signal-to-Cutoff Ratio and Antigen Index from Fourth- and Fifth-Generation HIV-1/HIV-2 Antigen/Antibody Assays for the Diagnosis of Acute HIV Infection: Applicability for Real-Time Use for Immediate Initiation of Antiretroviral Therapy.

Identification of individuals with acute HIV infection (AHI) and rapid initiation of antiretroviral therapy (ART) are priorities for HIV elimination efforts. Fourth- and fifth-generation HIV-1/HIV-2 antigen (Ag)/antibody (Ab) combination assays can quickly identify patients with AHI, but false-positive results can occur. Confirmatory nucleic acid amplification testing (NAAT) may not be rapidly available. We reviewed the data for 127 patients with positive fourth-generation ARCHITECT and fifth-generation Bio-Plex immunoassay results who had negative or indeterminate confirmatory Ab testing results, which yielded 38 patients with confirmed AHI and 89 patients with false-positive results. The receiver operating characteristic (ROC) curves showed excellent discriminatory power, with an area under the curve (AUC) for the signal-to-cutoff (S/CO) ratio of 0.970 (95% confidence interval [CI], 0.935 to 1.00) and an AUC for the Ag index (AI) of 0.968 (95% CI, 0.904 to 1.00). A threshold of 3.78 for the S/CO ratio would maximize the sensitivity (96.3%) and specificity (93.4%). The threshold for AI was 2.83 (sensitivity of 100% and specificity of 96.4%). The S/CO ratio was significantly correlated with the viral load (Spearman correlation coefficient, 0.486 [P = 0.014]), but the AI was not. The viral loads were all high, with a median of >2.8 million copies/mL. Two false-positive results with AI and S/CO ratio values markedly higher than the medians were observed, indicating that biological false-positive results can occur. Review of the S/CO ratio or AI may be used to improve the accuracy of AHI diagnosis prior to confirmatory NAAT results being available.

ß-catenin regulates HIV latency and modulates HIV reactivation.

Latency is the main obstacle towards an HIV cure, with cure strategies aiming to either elicit or prevent viral reactivation. While these strategies have shown promise, they have only succeeded in modulating latency in a fraction of the latent HIV reservoir, suggesting that the mechanisms controlling HIV latency are not completely understood, and that comprehensive latency modulation will require targeting of multiple latency maintenance pathways. We show here that the transcriptional co-activator and the central mediator of canonical Wnt signaling, ß-catenin, inhibits HIV transcription in CD4+ T cells via TCF-4 LTR binding sites. Further, we show that inhibiting the ß-catenin pathway reactivates HIV in a primary TCM cell model of HIV latency, primary cells from cART-controlled HIV donors, and in CD4+ latent cell lines. ß-catenin inhibition or activation also enhanced or inhibited the activity of several classes of HIV latency reversing agents, respectively, in these models, with significant synergy of ß-catenin and each LRA class tested. In sum, we identify ß-catenin as a novel regulator of HIV latency in vitro and ex vivo, adding new therapeutic targets that may be combined for comprehensive HIV latency modulation in HIV cure efforts.

Effectiveness of an electronic health record model for HIV pre-exposure prophylaxis.

Pre-exposure prophylaxis (PrEP) to prevent human immunodeficiency virus (HIV) is extremely effective when taken correctly, though grossly under-prescribed for at-risk patients. We initiated a best practice advisory (BPA) in the Epic electronic medical record (EMR) to identify patients who met criteria for PrEP use. We evaluated this model to determine its effectiveness in identifying patients and its use by providers for increasing prescription of PrEP. The BPA fired 145 times with five total new PrEP prescriptions. Over half of the patients identified were cisgender women, a group that is both under prescribed PrEP and missed by prior EMR PrEP algorithms. Half of the patients were African American, a group at high risk of HIV infection. Though the model was effective at identifying patients, provider initiation of PrEP or acknowledgment of the BPA was low. Further education of providers regarding PrEP usage and expansion of BPA messages are needed to increase rates of PrEP initiation.

Intersectional identity approach to chronic pain disparities using latent class analysis.

ABSTRACT: Research on intersectionality and chronic pain disparities is very limited. Intersectionality explores the interconnections between multiple aspects of identity and provides a more accurate image of disparities. This study applied a relatively novel statistical approach (ie, Latent Class Analysis) to examine chronic pain disparities with an intersectional identity approach. Cross-sectional data were analyzed using pretreatment data from the Learning About My Pain trial, a randomized comparative effectiveness study of group-based psychosocial interventions (Patient-Centered Outcomes Research Institute Contract #941, Beverly Thorn, PI; clinicaltrials.gov identifier NCT01967342) for patients receiving care for chronic pain at low-income clinics in rural and suburban Alabama. Latent Class Analysis results suggested a 5-class model. To easily identify each class, the following labels were created: older adults, younger adults, severe disparity, older Black or African American, and Working Women. The latent disparity classes varied by pretreatment chronic pain functioning. Overall, the severe disparity group had the lowest levels of functioning, and the Working Women group had the highest levels of functioning. Although younger and with higher literacy levels, the younger adults group had similar levels of pain interference and depressive symptoms to the severe disparity group (P's < 0.05). The younger adults group also had higher pain catastrophizing than the older adults group (P < 0.005). Results highlighted the importance of the interactions between the multiple factors of socioeconomic status, age, and race in the experience of chronic pain. The intersectional identity theory approach through Latent Class Analysis provided an integrated image of chronic pain disparities in a highly understudied and underserved population.

Next-Generation Serology by Mass Spectrometry: Readout of the SARS-CoV-2 Antibody Repertoire.

Methods of antibody detection are used to assess exposure or immunity to a pathogen. Here, we present Ig-MS, a novel serological readout that captures the immunoglobulin (Ig) repertoire at molecular resolution, including entire variable regions in Ig light and heavy chains. Ig-MS uses recent advances in protein mass spectrometry (MS) for multiparametric readout of antibodies, with new metrics like Ion Titer (IT) and Degree of Clonality (DoC) capturing the heterogeneity and relative abundance of individual clones without sequencing of B cells. We applied Ig-MS to plasma from subjects with severe and mild COVID-19 and immunized subjects after two vaccine doses, using the receptor-binding domain (RBD) of the spike protein of SARS-CoV-2 as the bait for antibody capture. Importantly, we report a new data type for human serology, that could use other antigens of interest to gauge immune responses to vaccination, pathogens, or autoimmune disorders.