Characterizing the etiology of recurrent tuberculosis using whole genome sequencing-Alaska, USA, 2008-2020.

BACKGROUND: Understanding the etiology of recurrent tuberculosis (rTB) is important for effective TB control. Prior to the advent of whole genome sequencing (WGS), attributing rTB to relapse or reinfection using genetic information was complicated by the limited resolution of conventional genotyping methods. METHODS: We applied a systematic method of evaluating whole genome single nucleotide polymorphism (wgSNP) distances and results of phylogenetic analyses to characterize the etiology of rTB in American Indian and Alaska Native (AIAN) persons in Alaska during 2008-2020. We contextualized our findings through descriptive analyses of surveillance data and results of a literature search for investigations that characterized rTB etiology using WGS. RESULTS: The percentage of TB cases in AIAN persons in Alaska classified as recurrent episodes (11.8%) was three times the national percentage (3.9%). Of 38 recurrent episodes included in genetic analyses, we attributed 25 (65.8%) to reinfection based on wgSNP distances and phylogenetic analyses; this proportion was the highest among 16 published point estimates identified through the literature search. By comparison, we attributed 11 of 38 (28.9%) and 6 of 38 (15.8%) recurrent episodes to reinfection based on wgSNP distances alone and on conventional genotyping methods, respectively. CONCLUSIONS: WGS and attribution criteria involving genetic distances and patterns of relatedness can provide an effective means of elucidating rTB etiology. Our findings indicate that rTB occurs at high proportions among AIAN persons in Alaska and is frequently attributable to reinfection, reinforcing the importance of active surveillance and control measures to limit the spread of TB disease in Alaskan AIAN communities.

Virtual BUILD Research Collaboratory: A biomedical data science training using innovative pedagogy to address structures of racism and inequitable stress for undergraduates of color.

OBJECTIVE: The unprecedented events of 2020 required a pivot in scientific training to better prepare the biomedical research workforce to address global pandemics, structural racism, and social inequities that devastate human health individually and erode it collectively. Furthermore, this pivot had to be accomplished in the virtual environment given the nation-wide lockdown. METHODS: These needs and context led to leveraging of the San Francisco Building Infrastructure Leading to Diversity (SF BUILD) theories of change to innovate a Virtual BUILD Research Collaboratory (VBRC). The purpose of VBRC was to train Black, Indigenous, and people of color (BIPOC) students to apply their unique perspectives to biomedical research. These training activities were evaluated using a pre-post survey design that included both validated and new psychosocial scales. A new scale was piloted to measure culturally relevant pedagogy. RESULTS: VBRC scholars increased science identity on two items: thinking of myself as a scientist (+1point, p = 0.006) and belonging to a community of scientists (+1point, p = 0.069). Overall, scholars perceived stress also decreased over VBRC (-2.35 points, p = 0.02). Post VBRC, scholars had high agency scores (µ = 11.02, Md = 12, range = 6-12, σ = 1.62) and cultural humility scores (µ = 22.11, Md = 23, range = 12-24, σ = 2.71). No notable race/ethnic differences were found in any measures. CONCLUSIONS: Taken together, our innovative approach to data science training for BIPOC in unprecedented times shows promise for better preparing the workforce critically needed to address the fundamental gaps in knowledge at the intersection of public health, structural racism, and biomedical sciences.

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).

AGE-RELATED MACULAR DEGENERATION INJECTION FREQUENCY: Effects of Distance Traveled and Travel Support.

PURPOSE: Although efficacious, intravitreal anti-vascular endothelial growth factor therapy regimens for neovascular age-related macular degeneration can prove difficult for patients to adhere to because of high cost and burden of transportation. METHODS: Analysis of electronic health record data from the San Francisco Veterans Administration Medical Center eye clinic (January 1, 2010 to December 31, 2019) was performed, extracting demographic data, anti-vascular endothelial growth factor injection history, and enrollment in the SFVA travel benefit program. Two-tailed P -values were calculated for Poisson regression examining average number of injections per year as the outcome and distance traveled as the primary predictor. Travel benefit was evaluated as a modifying effect on the distance-injection relationship. RESULTS: Three hundred and eighteen patients who received intravitreal injection for treatment of neovascular age-related macular degeneration were included in the analysis. Median (interquartile range) distance to clinic was 31.5 miles (7.4-69.4 miles). Driving distance in miles was inversely associated with average number of injections per year. Among all 318 patients, for every additional 100 miles a patient lived from our clinic, the patient received on average 2.5 fewer injections per year ( distance = -0.0025, P < 0.001), but this was not the case for patients with travel benefits ( distance = -0.0011, P = 0.362). CONCLUSION: The greater the distance from a patient's eye clinic, the lower the average number of injections per year. However, travel benefits mitigated this relationship, highlighting opportunities for improving patient's adherence through assistance programs.

Resolving Marine-Freshwater Transitions by Diatoms Through a Fog of Gene Tree Discordance.

Despite the obstacles facing marine colonists, most lineages of aquatic organisms have colonized and diversified in freshwaters repeatedly. These transitions can trigger rapid morphological or physiological change and, on longer timescales, lead to increased rates of speciation and extinction. Diatoms are a lineage of ancestrally marine microalgae that have diversified throughout freshwater habitats worldwide. We generated a phylogenomic data set of genomes and transcriptomes for 59 diatom taxa to resolve freshwater transitions in one lineage, the Thalassiosirales. Although most parts of the species tree were consistently resolved with strong support, we had difficulties resolving a Paleocene radiation, which affected the placement of one freshwater lineage. This and other parts of the tree were characterized by high levels of gene tree discordance caused by incomplete lineage sorting and low phylogenetic signal. Despite differences in species trees inferred from concatenation versus summary methods and codons versus amino acids, traditional methods of ancestral state reconstruction supported six transitions into freshwaters, two of which led to subsequent species diversification. Evidence from gene trees, protein alignments, and diatom life history together suggest that habitat transitions were largely the product of homoplasy rather than hemiplasy, a condition where transitions occur on branches in gene trees not shared with the species tree. Nevertheless, we identified a set of putatively hemiplasious genes, many of which have been associated with shifts to low salinity, indicating that hemiplasy played a small but potentially important role in freshwater adaptation. Accounting for differences in evolutionary outcomes, in which some taxa became locked into freshwaters while others were able to return to the ocean or become salinity generalists, might help further distinguish different sources of adaptive mutation in freshwater diatoms.

The Danish-American Research Exchange (DARE): a cross-sectional study of a binational research education program.

BACKGROUND: Most medical educational programs emphasize clinical observation or clinical skill acquisition, fewer focus upon research. The Danish-American Research Exchange (DARE) program, sponsored by the Lundbeck Foundation, is unique in that the medical student initiates biomedical research collaboration between Danish and US medical institutions. To achieve this, Danish medical students (DARE students) conduct binational mentored research projects while based in the United States for 10 months. In addition, DARE students are introduced to interdisciplinary thinking about how to develop ultra-low-cost healthcare interventions through the '$10 Challenge'. METHODS: We conducted a cross-sectional study of DARE alumni over five consecutive years (2015-2020, n = 24). Research metrics included completion of a research project, primary authorship, and co-authorship of publications. The number of publications, prior to and after the DARE program were enumerated. For the first four cohorts, graduation from medical school and acceptance or intention to enter a joint MD-PhD program also were assessed. Two focus groups were conducted using constructivist grounded theory. Discussions were transcribed, redacted, and coded using Dedoose software. RESULTS: DARE Medical students were 31.2 years (range 24-35), the majority were women (67%;16/24). The majority (17/24;71%) completed a first author publication in a peer-reviewed journal with a median of 3.9 per DARE alumnus. DARE alumnus reported increased proficiency in biostatistics, epidemiology, coding and public speaking as well as stronger research qualities in creativity, critical thinking, comfort in approaching scientist in both the US and Denmark (p < 0.001 for all). Qualitative key themes included: increased confidence, a deepening of research inquiry and linkage to a research network. CONCLUSIONS: Preliminarily, this study suggests that medical students can initiate binational collaboration in medicine. Benefits include research productivity, intention to pursue academic medical careers, as well as positive impacts on motivation. This medical student-initiated research model lays the groundwork for using this model across other country pairs to promote binational collaboration.

The dynamic response to hypo-osmotic stress reveals distinct stages of freshwater acclimation by a euryhaline diatom.

The salinity gradient separating marine and freshwater environments is a major ecological divide, and the mechanisms by which most organisms adapt to new salinity environments are poorly understood. Diatoms are a lineage of ancestrally marine microalgae that have repeatedly colonized and diversified in freshwaters. Cyclotella cryptica is a euryhaline diatom found in salinities ranging from fully freshwater to fully marine, thus providing a powerful system for understanding the genomic mechanisms for mitigating and acclimating to low salinity. To understand how diatoms mitigate acute hypo-osmotic stress, we abruptly shifted C. cryptica from seawater to freshwater and performed transcriptional profiling during the first 10 h. Freshwater shock dramatically remodelled the transcriptome, with ~50% of the genome differentially expressed in at least one time point. The peak response occurred within 1 h, with strong repression of genes involved in cell growth and osmolyte production, and strong induction of specific stress defence genes. Transcripts largely returned to baseline levels within 4-10 h, with growth resuming shortly thereafter, suggesting that gene expression dynamics may be useful for predicting acclimation. Moreover, comparison to a transcriptomics study of C. cryptica following months-long acclimation to freshwater revealed little overlap between the genes and processes differentially expressed in cells exposed to acute stress versus fully acclimated conditions. Altogether, this study highlights the power of time-resolved transcriptomics to reveal fundamental insights into how cells dynamically respond to an acute environmental shift and provides new insights into how diatoms mitigate natural salinity fluctuations and have successfully diversified across freshwater habitats worldwide.

Molecular surveillance for large outbreaks of tuberculosis in the United States, 2014-2018.

OBJECTIVE: This study describes characteristics of large tuberculosis (TB) outbreaks in the United States detected using novel molecular surveillance methods during 2014-2016 and followed for 2 years through 2018. METHODS: We developed 4 genotype-based detection algorithms to identify large TB outbreaks of ≥10 cases related by recent transmission during a 3-year period. We used whole-genome sequencing and epidemiologic data to assess evidence of recent transmission among cases. RESULTS: There were 24 large outbreaks involving 518 cases; patients were primarily U.S.-born (85.1%) racial/ethnic minorities (84.1%). Compared with all other TB patients, patients associated with large outbreaks were more likely to report substance use, homelessness, and having been diagnosed while incarcerated. Most large outbreaks primarily occurred within residences among families and nonfamilial social contacts. A source case with a prolonged infectious period and difficulties in eliciting contacts were commonly reported contributors to transmission. CONCLUSION: Large outbreak surveillance can inform targeted interventions to decrease outbreak-associated TB morbidity.

Diné Navajo Resilience to the COVID-19 pandemic.

OBJECTIVE: To date, there are no studies of COVID-19 cases and deaths in the Navajo Nation, US. The primary objective of this manuscript is to understand whether counties with a higher proportion of Navajo (Diné) population also had higher cases and deaths of COVID-19 and whether these dropped with vaccination. METHOD: We undertook a cross-sectional analysis of county level data from March 16, 2020-May 11, 2021. Data were obtained from public repositories and the US Census for the Navajo Nation, including northeastern Arizona, southeastern Utah, and northwestern New Mexico. The primary outcome measure is the number of individuals with confirmed cases or deaths of COVID-19. A secondary outcome was COVID-19 vaccinations. RESULTS: The 11 counties in Navajo Nation have a wide variation in the percent Navajo population, the resources available (ICU beds and occupancy), and COVID-19 outcomes. Overall, there was a substantial increase in the number of cases from March 16 -July 16, 2020 (the height of the pandemic) with a doubling time of 10.12 days on Navajo Nation. The percent Navajo population was a strong predictor of COVID-19 cases and deaths per million population. COVID-19 vaccinations were inversely associated with COVID-19 cases and deaths in these counties. CONCLUSIONS: The COVID-19 pandemic on the Navajo Nation is a story of resilience. Navajo Nation was one of the hardest hit areas of the United States, with peak cases and deaths due to COVID-19. With an aggressive vaccination effort, these cases and deaths were strikingly curtailed, showing the resilience of the Navajo (Diné) people.

Traditional Healers as Health Care Providers for the Latine Community in the United States, a Systematic Review.

Background: Due to structural barriers to accessing the biomedical health care system, traditional healers (THs) often serve as the first point of contact for health care by Latine individuals in the United States. A recent assessment of the extent of use of THs by the Latine community is lacking. Methods: We conducted a systematic review of the literature published between 2000 and 2020, to assess the prevalence of use of THs by U.S. Latine individuals, health conditions for which care was sought, reasons for their use, and extent of TH use and dual use that is of biomedical health care and TH together. Primary inclusion criteria for studies included: (1) published in English, (2) focus on THs, (3) pertained to Latine individuals residing in the United States, and (4) published since 2000. Results: Eighty-five studies were reviewed; 33 met inclusion criteria. Under the overarching term of curanderos, 4 subtypes of THs were identified: sobadores, yerberos, espiritualistas, and hueseros. The lifetime prevalence of TH use varied from 6% to 67.7% depending on the demographic differences among the Latine individuals in these studies. Primary reasons for seeking care from THs were accessibility/convenience, affordability, and linguistic and cultural congruence. Discussion: The use of THs is highly prevalent for Latine community residing in the United States because they are accessible, affordable, and provide culturally and linguistically compatible care, indicating that they offer an alternative that addresses systemic structural barriers to biomedical health care. Further research on the efficacy and safety of the treatments rendered by THs and how their care might be optimally coordinated with biomedical health care, could improve health equity and access to care among Latine individuals in the United States.

Tuberculosis Outbreaks in State Prisons, United States, 2011-2019.

Objectives. To understand the frequency, magnitude, geography, and characteristics of tuberculosis outbreaks in US state prisons. Methods. Using data from the National Tuberculosis Surveillance System, we identified all cases of tuberculosis during 2011 to 2019 that were reported as occurring among individuals incarcerated in a state prison at the time of diagnosis. We used whole-genome sequencing to define 3 or more cases within 2 single nucleotide polymorphisms within 3 years as clustered; we classified clusters with 6 or more cases during a 3-year period as tuberculosis outbreaks. Results. During 2011 to 2019, 566 tuberculosis cases occurred in 41 state prison systems (a median of 3 cases per state). A total of 19 tuberculosis genotype clusters comprising 134 cases were identified in 6 state prison systems; these clusters included a subset of 5 outbreaks in 2 states. Two Alabama outbreaks during 2011 to 2017 totaled 20 cases; 3 Texas outbreaks during 2014 to 2019 totaled 51 cases. Conclusions. Only Alabama and Texas reported outbreaks during the 9-year period; only Texas state prisons had ongoing transmission in 2019. Effective interventions are needed to stop tuberculosis outbreaks in Texas state prisons. (Am J Public Health. 2022;112(8):1170-1179. https://doi.org/10.2105/AJPH.2022.306864).

Strain-specific transcriptional responses overshadow salinity effects in a marine diatom sampled along the Baltic Sea salinity cline.

The salinity gradient separating marine and freshwater environments represents a major ecological divide for microbiota, yet the mechanisms by which marine microbes have adapted to and ultimately diversified in freshwater environments are poorly understood. Here, we take advantage of a natural evolutionary experiment: the colonization of the brackish Baltic Sea by the ancestrally marine diatom Skeletonema marinoi. To understand how diatoms respond to low salinity, we characterized transcriptomic responses of acclimated S. marinoi grown in a common garden. Our experiment included eight strains from source populations spanning the Baltic Sea salinity cline. Gene expression analysis revealed that low salinities induced changes in the cellular metabolism of S. marinoi, including upregulation of photosynthesis and storage compound biosynthesis, increased nutrient demand, and a complex response to oxidative stress. However, the strain effect overshadowed the salinity effect, as strains differed significantly in their response, both regarding the strength and the strategy (direction of gene expression) of their response. The high degree of intraspecific variation in gene expression observed here highlights an important but often overlooked source of biological variation associated with how diatoms respond to environmental change.

Association of Stress-Health Factors among Parkinson's Disease Patient/Caregiving-Partner Dyads.

OBJECTIVE: Few studies have explored the shared effects of Parkinson's disease (PD) within patient/caregiver dyads. To fill this gap, we compared stress-health outcomes of patients with those of caregiving-partners, examined individual stress-health associations, and explored stress-health associations within dyads. METHOD: A total of 18 PD patient/caregiving-partner dyads (N = 36) reported on disease-specific distress, anxiety, quality of life (QOL), and provided saliva samples for cortisol assessment. This cross-sectional, secondary analysis of a prospective pilot study used Actor-Partner Interdependence Models to test aims. RESULTS: Patients reported greater anxiety, poorer QOL, and demonstrated flatter cortisol slopes and higher mean bedtime cortisol compared to caregiving-partners. Both patients and caregiving-partners with greater anxiety had elevated bedtime cortisol and poorer QOL. Greater disease-specific distress in an individual was associated with higher diurnal mean cortisol in their partner. CONCLUSIONS: Findings highlight the potential for psychosocial interventions at the dyadic level to reduce shared burden and promote coping among PD patient/caregiving-partner dyads.

Patterns of torture among forcibly displaced Eritrean men in California: A cross-sectional study.

INTRODUCTION: This study was conducted to address a lack of information in the literature regarding the frequency and consequences of specific types of torture and abuse among Eritreans seeking asylum in the United States. METHODS: Cross-sectional study of Eritreans seeking asylum in the United States presenting to a human rights clinic for forensic medical and psychological evaluations based on Istanbul Protocol. Reports were eligible for inclusion if subjects: 1) immigrated from Eritrea 2) reported torture and abuse in Eritrea, 3) were 18 or older. 59 reports met inclusion criteria. Demographic features of individuals, reported history and specific types of torture, and physical and psychological sequelae were analyzed. RESULTS: Over 300 instances of torture were reported, an average of about 6 per person. The primary forms of torture reported were beating (87.7%) and forced positioning (57.9%). 90% of asylum seekers examined had physical findings which were consistent with the torture they reported, some of which had clinical as well as forensic significance. 86% of asylum seekers met diagnostic criteria for post-traumatic stress disorder. CONCLUSION: Eritreans seeking asylum in the United States bear a high burden of post-traumatic physical and psychological morbidity.

Social Innovation For Health Research: Development of the SIFHR Checklist.

BACKGROUND: Social innovations in health are inclusive solutions to address the healthcare delivery gap that meet the needs of end users through a multi-stakeholder, community-engaged process. While social innovations for health have shown promise in closing the healthcare delivery gap, more research is needed to evaluate, scale up, and sustain social innovation. Research checklists can standardize and improve reporting of research findings, promote transparency, and increase replicability of study results and findings. METHODS AND FINDINGS: The research checklist was developed through a 3-step community-engaged process, including a global open call for ideas, a scoping review, and a 3-round modified Delphi process. The call for entries solicited checklists and related items and was open between November 27, 2019 and February 1, 2020. In addition to the open call submissions and scoping review findings, a 17-item Social Innovation For Health Research (SIFHR) Checklist was developed based on the Template for Intervention Description and Replication (TIDieR) Checklist. The checklist was then refined during 3 rounds of Delphi surveys conducted between May and June 2020. The resulting checklist will facilitate more complete and transparent reporting, increase end-user engagement, and help assess social innovation projects. A limitation of the open call was requiring internet access, which likely discouraged participation of some subgroups. CONCLUSIONS: The SIFHR Checklist will strengthen the reporting of social innovation for health research studies. More research is needed on social innovation for health.

Research Beyond the Ivory Tower: Partnering with Safety-Net Health Systems for Equity.

Safety-net health systems serve primarily low-income, racially/ethnically diverse patients who bear a disproportionate burden of disease and high social needs. Many safety-net institutions are publicly funded and are under-resourced to deliver high-quality and timely care. Further, little clinical and translational research includes safety-net populations due to lack of funding, structure to support research, and low prioritization. However, we argue that US health care as a whole will lose key insights across all levels of translational medicine-T1-T4 research, if safety-net health systems do not participate in research. Solutions such as targeted funds for safety-net research, consortium arrangements for research infrastructure, and increasing ways for clinician-researchers to have their primary home in safety-net settings are suggested to fill this gap. Achieving health equity in the U.S. is contingent upon safety-net inclusion in research to advance knowledge and develop, test, and evaluate innovations applicable across all patient populations.

Logically Inferred Tuberculosis Transmission (LITT): A Data Integration Algorithm to Rank Potential Source Cases.

Understanding tuberculosis (TB) transmission chains can help public health staff target their resources to prevent further transmission, but currently there are few tools to automate this process. We have developed the Logically Inferred Tuberculosis Transmission (LITT) algorithm to systematize the integration and analysis of whole-genome sequencing, clinical, and epidemiological data. Based on the work typically performed by hand during a cluster investigation, LITT identifies and ranks potential source cases for each case in a TB cluster. We evaluated LITT using a diverse dataset of 534 cases in 56 clusters (size range: 2-69 cases), which were investigated locally in three different U.S. jurisdictions. Investigators and LITT agreed on the most likely source case for 145 (80%) of 181 cases. By reviewing discrepancies, we found that many of the remaining differences resulted from errors in the dataset used for the LITT algorithm. In addition, we developed a graphical user interface, user's manual, and training resources to improve LITT accessibility for frontline staff. While LITT cannot replace thorough field investigation, the algorithm can help investigators systematically analyze and interpret complex data over the course of a TB cluster investigation. Code available at: https://github.com/CDCgov/TB_molecular_epidemiology/tree/1.0; https://zenodo.org/badge/latestdoi/166261171.

Effects of integrated economic and health interventions with women's groups on health-related knowledge, behaviours and outcomes in low-income and middle-income countries: a systematic review protocol.

INTRODUCTION: Economic groups, such as microfinance or self-help groups are widely implemented in low-income and middle-income countries (LMICs). Women's groups are voluntary groups, which aim to improve the well-being of members through activities, such as joint savings, credit, livelihoods development and/or health activities. Health interventions are increasingly added on to existing women's economic groups as a public health intervention for women and their families. Here, we present the protocol for a mixed-methods systematic review we will conduct of the evidence on integrated economic and health interventions on women's groups to assess whether and how they improve health-related knowledge, behaviour and outcomes in LMICs. METHODS AND ANALYSIS: We will search seven electronic databases for published literature, along with manual searches and consultation. The review will include (1) randomised trials and non-randomised quasiexperimental studies of intervention effects of integrated economic and health interventions delivered through women's groups in LMICs, and (2) sibling studies that examine factors related to intervention content, context, implementation processes and costs. We will appraise risk of bias and study quality using standard tools. High and moderate quality studies will be grouped by health domain and synthesised without meta-analysis. Qualitative evidence will be thematically synthesised and integrated into the quantitative synthesis using a matrix approach. ETHICS AND DISSEMINATION: This protocol was reviewed and deemed exempt by the institutional review board at the American Institutes for Research. Findings will be shared through peer-reviewed publication and disseminated with programme implementers and policymakers engaged with women's groups. PROSPERO REGISTRATION NUMBER: CRD42020199998.

Differences in correlates of fatigue between relapsing and progressive forms of multiple sclerosis.

BACKGROUND: Fatigue is one of the most prevalent and impactful symptoms for people with multiple sclerosis (MS). Yet, fatigue is less understood in progressive forms of MS, and few studies have explored the extent to which MS disease course is associated with fatigue. The current study aimed to (1) describe fatigue severity and fatigue interference (the extent to which fatigue interferes with individuals' physical, mental, and social activities) in people with progressive MS (primary progressive MS and secondary progressive MS); (2) compare fatigue severity and fatigue interference in people with progressive forms of MS to people with relapsing-remitting MS (RRMS); and (3) identify factors associated with fatigue severity and fatigue interference in people with progressive forms of MS and RRMS. METHODS: Secondary analysis of baseline data from participants with MS (N = 573; progressive forms of MS n = 142; RRMS n = 431) in a survey-based longitudinal study on healthy aging in people with a physical disability. Primary outcomes were average fatigue severity (0-10 Numerical Rating Scale), and fatigue interference (PROMIS Fatigue Short Form). Correlates were variables across the demographic and biopsychosocial domains, collected with validated self-reported measures. Statistical methods included t-test and chi-square analyses to compare fatigue severity and fatigue interference in people with progressive MS to those with RRMS, and multiple regression analyses to examine the association of variables with fatigue severity and fatigue interference. RESULTS: Participants with progressive forms of MS reported moderate to severe levels of average fatigue severity (5.9 ± 2.8) and elevated levels of fatigue interference (T-Score of 58.2 ± 7.9). There were no group differences between people with progressive MS and RRMS in average fatigue severity or fatigue interference. Common factors associated with greater fatigue severity were lower income, being unemployed, shorter disease duration, greater disability, and greater sleep disturbance. Common factors associated with fatigue interference were younger age, lower income, being unemployed, greater disability, lower alcohol consumption, being a smoker, and greater sleep disturbance. For those with progressive forms of MS, longer MS disease duration was associated with lower average fatigue severity (b = -0.08, t(532) = -3.69, p < .001) and having a college degree or higher was associated with higher fatigue interference (b = 2.84, t(520) = 2.23, p = .026). CONCLUSION: In this sample, fatigue severity and fatigue interference were similar for progressive forms of MS and RRMS. Future research should consider if interventions that work for fatigue management in people with relapsing forms of MS work similarly for people with progressive forms of MS.

Pain Intensity and Pain Interference in People With Progressive Multiple Sclerosis Compared With People With Relapsing-Remitting Multiple Sclerosis.

OBJECTIVE: To describe pain intensity and interference in people with progressive multiple sclerosis (MS), compare these with people with relapsing-remitting multiple sclerosis (RRMS), and identify common and unique factors associated with pain intensity in people with progressive MS and RRMS. DESIGN: Observational, cross-sectional analysis using baseline data from a longitudinal survey on quality of life in participants with MS. SETTING: Community. PARTICIPANTS: A total of 573 adults with MS (N=573; progressive MS, n=142; RRMS, n=431). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Average pain intensity was measured by an 11-point numeric rating scale, and pain interference was measured by the Patient-Reported Outcomes Measurement Information System Pain Interference Short Form. RESULTS: Participants with progressive MS reported moderate average pain intensity (3.22±2.50) and elevated pain interference (T score of 55.55±9.13). They did not differ significantly from those with RRMS in average pain intensity or pain interference. Common factors associated with higher average pain intensity were more severe disability, lower education level, unemployment, and current smoking. In those with progressive MS, older age was associated with lower average pain intensity. CONCLUSIONS: Pain intensity and interference are similar across MS types. In addition to assessing and treating pain, it is important to screen for modifiable pain-related factors, such as smoking cessation, in this population.