Objective
To assess adherence to 3 system‐level performance measures in a national early rheumatoid arthritis (RA) cohort.
Methods
Patients enrolled in the Canadian Early Arthritis Cohort (2007–2015) ...who met 1987 or 2010 American College of Rheumatology/European League Against Rheumatism criteria with <1 year of symptom duration and ≥1 year of followup after enrollment were included. Performance measures assessed were the percentage of RA patients seen in yearly followup, and the number of gaps between visits of >12 or >14 months, the percentage of RA patients treated with a disease‐modifying antirheumatic drug (DMARD), and days from RA diagnosis to initiation of a DMARD. Results are shown stratified by enrollment year to assess for temporal changes in performance.
Results
A total of 1,763 early RA patients were included (mean age 54 years, 73% female, and 82% white). At enrollment, mean ± SD disease duration was 6 ± 3 months, and Disease Activity Score in 28 joints was 5.1 ± 1.5. Over 8 years, the proportion of patients seen in annual followup declined from 100% to 91%. Over followup, 42% of patients had 0 gaps in care of >12 months, and 64% had 0 gaps >14 months. The percentage of DMARD‐treated early RA patients was and remained high (95–87%), and the percentage receiving DMARDs within 14 days of diagnosis was 75%. Median time‐to‐DMARD therapy was 1 day, indicating DMARDs were initiated at diagnosis (90th percentile 93 days).
Conclusion
There was evidence of high adherence to system‐level performance measures in this early RA cohort following a protocol. Small declines in performance were noted with increasing length of patient followup. Our findings are useful for performance measure benchmarking.
To compare clinical characteristics and treatment of patients with rheumatoid arthritis (RA) across 4 Canadian cohorts.
The 4 longitudinal cohorts included the following: the Canadian Early Arthritis ...Cohort (CATCH; n = 2878), Ontario Best Practices Research Initiative (OBRI; n = 3734), RHUMADATA (Quebec, n = 2890), and the Rheum4U Precision Health Registry (Calgary, Alberta, n = 709). Data were from cohort inception (range 1998-2016) to 2020. Clinical characteristics and drug treatments were summarized descriptively.
In total, 10,211 patients with RA were included. The percentage of patients who entered the cohort with early RA (2 yrs of disease at enrollment) ranged from 29% (Rheum4U) to 100% (CATCH). Mean age (55 yrs), sex (74% female), and seropositivity (69%) were similar between cohorts. At the time of initial disease-modifying antirheumatic drug (DMARD) use, median Disease Activity Score in 28 joints (DAS28) varied, ranging from 2.99 (Rheum4U) to 5.19 (CATCH), but were more similar at the time of the first DMARD switch (range 3.57-5.03), first biologic (bDMARD) or targeted synthetic DMARD (tsDMARD) use (range 4.01-4.67), and second bDMARD or tsDMARD (range 3.71-4.39). The initial DMARD was most commonly methotrexate, either in monotherapy (32%, range 18-40%) or dual therapy (34%, range 29-42%). The first DMARD switch was to another DMARD monotherapy in 20% (range 10-32%), dual therapy in 49% (range 39-56%), and bDMARD or tsDMARD in 24% (range 15-28%). The first bDMARD was an anti-tumor necrosis factor in 79% (range 78-82%).
Canadian RA cohorts demonstrate some heterogeneity in treatment, which could reflect differences in inclusion criteria, calendar year, or regional differences. This project is a first step toward conducting harmonized analyses across Canadian RA cohorts.
The aim of this study was to evaluate factors associated with rheumatologists' clinical work hours and patient volumes based on a national workforce survey in rheumatology.
Adult rheumatologists who ...participated in a 2015 workforce survey were included (n = 255). Univariate analysis evaluated the relationship between demographics (sex, age, academic vs. community practice, billing fee for service vs. other plan, years in practice, retirement plans) and workload (total hours and number of ½-day clinics per week) or patient volumes (number of new and follow-up consults per week). Multiple linear regression models were used to evaluate the relationship between practice type, sex, age, and working hours or clinical volumes.
Male rheumatologists had more ½-day clinics (p = 0.05) and saw more new patients per week (p = 0.001) compared with females. Community rheumatologists had more ½-day clinics and new and follow-up visits per week (all p < 0.01). Fee-for-service rheumatologists reported more ½-day clinics per week (p < 0.001) and follow-ups (p = 0.04). Workload did not vary by age, years in practice, or retirement plans. In multivariate analysis, community practice remained independently associated with higher patient volumes and more clinics per week. Female rheumatologists reported fewer clinics and fewer follow-up patients per week than males, but this did not affect the duration of working hours or new consultations. Age was not associated with work volumes or hours.
Practice type and rheumatologist sex should be considered when evaluating rheumatologist workforce needs, as the proportion of female rheumatologists has increased over time and alternative billing practices have been introduced in many centers.
Rheumatology workforces are increasingly challenged by too few physicians in face of the growing burden of rheumatic and musculoskeletal diseases (RMDs). Rheumatology is one of the most frequent ...non-surgical specialty referrals and has the longest wait times for subspecialists. We used a population-based approach to describe changes in the rheumatology workforce, patient volumes and geographic variation in the supply of and access to rheumatologists, in Ontario, Canada, between 2000 and 2019, and projected changes in supply by 2030. Over time, we observed greater feminization of the workforce and increasing age of workforce members. We identified a large regional variation in rheumatology supply. Fewer new patients are seen annually, which likely contributes to increasing wait times and reduced access to care. Strategies and policies to raise the critical mass and improve regional distribution of supply to effectively provide rheumatology care and support the healthcare delivery of patients with RMDs are needed.
The Kathleen Cuningham Foundation Consortium for Research into Familial Aspects of Breast Cancer (kConFab) is a large-scale research study that notifies participants when new, personally relevant, ...information is discovered. In 2009, the (kConFab) instituted an intensive notification process to ensure at-risk individuals were effectively notified. This study (i) evaluated the impact of intensive notification on genetic testing uptake; (ii) identified those most likely to undergo testing postnotification; and (iii) identified those most likely to acknowledge that they had been notified.
Clinical/demographic data were retrieved from the (kConFab) database. Logistic regression analyses were conducted to identify potential predictors of testing uptake and notification acknowledgment using IBM SPSS.
A total of 155 of 1,812 individuals underwent testing after standard notification (8.6%). In comparison, 23/291 individuals (7.9%) notified using the "intensive" approach underwent testing (χ(2) = 0.14; P = 0.71). After controlling for notification process, females and participants with a previous cancer were most likely to have undergone testing (P < 0.006). Older individuals (50+ years) were most likely to acknowledge they had been notified (P = 0.038).
Increasing the intensity of participant follow-up did not increase genetic testing uptake. The challenge to effectively notify participants, and increase the proportion whose risk is managed clinically, remains, particularly for males and individuals unaffected by cancer.Genet Med 2013:15(3):187-194.
Abstract
We evaluate the shared genetic regulation of mRNA molecules, proteins and metabolites derived from whole blood from 3029 human donors. We find abundant allelic heterogeneity, where multiple ...variants regulate a particular molecular phenotype, and pleiotropy, where a single variant associates with multiple molecular phenotypes over multiple genomic regions. The highest proportion of share genetic regulation is detected between gene expression and proteins (66.6%), with a further median shared genetic associations across 49 different tissues of 78.3% and 62.4% between plasma proteins and gene expression. We represent the genetic and molecular associations in networks including 2828 known GWAS variants, showing that GWAS variants are more often connected to gene expression in trans than other molecular phenotypes in the network. Our work provides a roadmap to understanding molecular networks and deriving the underlying mechanism of action of GWAS variants using different molecular phenotypes in an accessible tissue.
Background
Many individuals with systemic sclerosis (SSc) are at heightened risk for COVID-19 related morbidity and isolation due to interstitial lung disease, frailty, and immunosuppressant use. ...Minimal research has explored loneliness predictors in individuals with chronic illnesses during COVID-19. This study evaluated moderators of loneliness trajectories in individuals with SSc during COVID-19.
Methods
Longitudinal data were analyzed across 30 timepoints from April 2020 to May 2022 from 775 adults in the Scleroderma Patient-centered Intervention Network (SPIN) COVID-19 Cohort. Hierarchical linear modeling evaluated cross-level moderators of loneliness trajectories, including marital status, baseline number of household members, number of virtual or telephone one-on-one or virtual group conversations, number of hours spent enjoying in-person household conversations or activities, and satisfaction with quality of in-person household conversations (all in the past week). Level-1 moderation analyses assessed effects of conversation, activity, and satisfaction means and slopes over time.
Results
Baseline values were not statistically significant moderators of loneliness trajectories. Higher mean (averaged over time) virtual or telephone one-on-one and in-person household conversations, in-person household activity, and in-person household conversation satisfaction were associated with lower loneliness trajectories (
p
s < .05). The relationship between in-person household conversation satisfaction and loneliness trajectory was statistically significantly but minimally attenuated over time (
p
< .001).
Conclusions
For people with SSc, higher mean conversation, activity, and satisfaction variables were associated with lower levels of loneliness during the pandemic, but changes in these social variables were generally not predictive of changes in loneliness.
Systemic sclerosis is a heterogenous disease in which little is known about patterns of patient-reported symptom clusters. We aimed to identify classes of individuals with similar anxiety, ...depression, fatigue, sleep disturbance, and pain symptoms and to evaluate associated sociodemographic and disease-related characteristics.
This multi-centre cross-sectional study used baseline data from Scleroderma Patient-centered Intervention Network Cohort participants enrolled from 2014 to 2020. Eligible participants completed the PROMIS-29 v2.0 measure. Latent profile analysis was used to identify homogeneous classes of participants based on patterns of anxiety, depression, fatigue, sleep disturbance, and pain scores. Sociodemographic and disease-related characteristics were compared across classes.
Among 2212 participants, we identified five classes, including four classes with “Low” (565 participants, 26%), “Normal” (651 participants, 29%), “High” (569 participants, 26%), or “Very High” (193 participants, 9%) symptom levels across all symptoms. Participants in a fifth class, “High Fatigue/Sleep/Pain and Low Anxiety/Depression” (234 participants, 11%) had similar levels of fatigue, sleep disturbance, and pain as in the “High” class but low anxiety and depression symptoms. There were significant and substantive trends in sociodemographic characteristics (age, education, race or ethnicity, marital or partner status) and increasing disease severity (diffuse disease, tendon friction rubs, joint contractures, gastrointestinal symptoms) across severity-based classes. Disease severity and sociodemographic characteristics of “High Fatigue/Sleep/Pain and Low Anxiety/Depression” class participants were similar to the “High” severity class.
Most people with systemic sclerosis can be classified by levels of patient-reported symptoms, which are consistent across symptoms and highly associated with sociodemographic and disease-related variables, except for one group which reports low mental health symptoms despite high levels of other symptoms and substantial disease burden. Studies are needed to better understand resilience in systemic sclerosis and to identify and facilitate implementation of cognitive and behavioural strategies to improve coping and overall quality of life.
National Institute of Nursing Research (F31NR019007), Canadian Institutes of Health Research, Arthritis Society Canada, the Lady Davis Institute for Medical Research, the Jewish General Hospital Foundation, McGill University, Scleroderma Society of Ontario, Scleroderma Canada, Sclérodermie Québec, Scleroderma Manitoba, Scleroderma Atlantic, Scleroderma Association of BC, Scleroderma SASK, Scleroderma Australia, Scleroderma New South Wales, Scleroderma Victoria, and Scleroderma Queensland.
Prospective studies of Zika virus in pregnancy have reported rates of congenital Zika syndrome and other adverse outcomes by trimester. However, Zika virus can infect and damage the fetus early in ...utero, but clear before delivery. The true vertical transmission rate is therefore unknown. We aimed to provide the first estimates of underlying vertical transmission rates and adverse outcomes due to congenital infection with Zika virus by trimester of exposure.
This was a Bayesian latent class analysis of data from seven prospective studies of Zika virus in pregnancy. We estimated vertical transmission rates, rates of Zika-virus-related and non-Zika-virus-related adverse outcomes, and the diagnostic sensitivity of markers of congenital infection. We allowed for variation between studies in these parameters and used information from women in comparison groups with no PCR-confirmed infection, where available.
The estimated mean risk of vertical transmission was 47% (95% credible interval 26 to 76) following maternal infection in the first trimester, 28% (15 to 46) in the second, and 25% (13 to 47) in the third. 9% (4 to 17) of deliveries following infections in the first trimester had symptoms consistent with congenital Zika syndrome, 3% (1 to 7) in the second, and 1% (0 to 3) in the third. We estimated that in infections during the first, second, and third trimester, respectively, 13% (2 to 27), 3% (−5 to 14), and 0% (−7 to 11) of pregnancies had adverse outcomes attributable to Zika virus infection. Diagnostic sensitivity of markers of congenital infection was lowest in the first trimester (42% 18 to 72), but increased to 85% (51 to 99) in trimester two, and 80% (42 to 99) in trimester three. There was substantial between-study variation in the risks of vertical transmission and congenital Zika syndrome.
This preliminary analysis recovers the causal effects of Zika virus from disparate study designs. Higher transmission in the first trimester is unusual with congenital infections but accords with laboratory evidence of decreasing susceptibility of placental cells to infection during pregnancy.
European Union Horizon 2020 programme.
Objective
Health administrative data can be a valuable tool for disease surveillance and research. Few studies have rigorously evaluated the accuracy of administrative databases for identifying ...rheumatoid arthritis (RA) patients. Our aim was to validate administrative data algorithms to identify RA patients in Ontario, Canada.
Methods
We performed a retrospective review of a random sample of 450 patients from 18 rheumatology clinics. Using rheumatologist‐reported diagnosis as the reference standard, we tested and validated different combinations of physician billing, hospitalization, and pharmacy data.
Results
One hundred forty‐nine rheumatology patients were classified as having RA and 301 were classified as not having RA based on our reference standard definition (study RA prevalence 33%). Overall, algorithms that included physician billings had excellent sensitivity (range 94–100%). Specificity and positive predictive value (PPV) were modest to excellent and increased when algorithms included multiple physician claims or specialist claims. The addition of RA medications did not significantly improve algorithm performance. The algorithm of “(1 hospitalization RA code ever) OR (3 physician RA diagnosis codes claims with ≥1 by a specialist in a 2‐year period)” had a sensitivity of 97%, specificity of 85%, PPV of 76%, and negative predictive value of 98%. Most RA patients (84%) had an RA diagnosis code present in the administrative data within ±1 year of a rheumatologist's documented diagnosis date.
Conclusion
We demonstrated that administrative data can be used to identify RA patients with a high degree of accuracy. RA diagnosis date and disease duration are fairly well estimated from administrative data in jurisdictions of universal health care insurance.
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