Classifying Multimorbidity Using Drug Concepts via the Rx-Risk Comorbidity Index: Methods and Comparative Cross-Sectional Study

OBJECTIVE

The study objective was to update a method to identify comorbid conditions using only medication information in circumstances in which diagnosis codes may be undercaptured, such as in single-specialty electronic health records (EHRs), and to compare the distribution of comorbidities across Rx-Risk versus other traditional comorbidity indices.

METHODS

Using First Databank, RxNorm, and its web-based clients, RxNav and RxClass, we mapped Drug Concept Unique Identifiers (RxCUIs), National Drug Codes (NDCs), and Anatomical Therapeutic Chemical (ATC) codes to Rx-Risk, a medication-focused comorbidity index. In established rheumatoid arthritis (RA) and osteoarthritis (OA) cohorts within the Rheumatology Informatics System for Effectiveness registry, we then compared Rx-Risk with other comorbidity indices, including the Charlson Comorbidity Index, Rheumatic Disease Comorbidity Index (RDCI), and Elixhauser.

RESULTS

We identified 965 unique ingredient RxCUIs representing the 46 Rx-Risk comorbidity categories. After excluding dosage form and ingredient related RxCUIs, 80,911 unique associated RxCUIs were mapped to the index. Additionally, 187,024 unique NDCs and 354 ATC codes were obtained and mapped to the index categories. When compared to traditional comorbidity indices in the RA cohort, the median score for Rx-Risk (median 6.00 [25th percentile 2, 75th percentile 9]) was much greater than for Charlson (median 0 [25th percentile 0, 75th percentile 0]), RDCI (median 0 [25th percentile 0, 75th percentile 0]), and Elixhauser (median 1 [25th percentile 1, 75th percentile 1]). Analyses of the OA cohort yielded similar results. For patients with a Charlson score of 0 (85% of total), both the RDCI and Elixhauser were close to 1, but the Rx-Risk score ranged from 0 to 16 or more.

CONCLUSION

The misclassification and under-ascertainment of comorbidities in single-specialty EHRs can largely be overcome by using a medication-focused comorbidity index.

[Different methods in predicting mortality of pediatric intensive care units sepsis in Southwest China]

Objective: To investigate the value of systemic inflammatory response syndrome (SIRS), pediatric sequential organ failure assessment (pSOFA) and pediatric critical illness score (PCIS) in predicting mortality of pediatric sepsis in pediatric intensive care units (PICU) from Southwest China. Methods: This was a prospective multicenter observational study. A total of 447 children with sepsis admitted to 12 PICU in Southwest China from April 2022 to March 2023 were enrolled. Based on the prognosis, the patients were divided into survival group and non-survival group. The physiological parameters of SIRS, pSOFA and PCIS were recorded and scored within 24 h after PICU admission. The general clinical data and some laboratory results were recorded. The area under the curve (AUC) of the receiver operating characteristic curve was used to compare the predictive value of SIRS, pSOFA and PCIS in mortality of pediatric sepsis. Results: Amongst 447 children with sepsis, 260 patients were male and 187 patients were female, aged 2.5 (0.8, 7.0) years, 405 patients were in the survival group and 42 patients were in the non-survival group. 418 patients (93.5%) met the criteria of SIRS, and 440 patients (98.4%) met the criteria of pSOFA≥2. There was no significant difference in the number of items meeting the SIRS criteria between the survival group and the non-survival group (3(2, 4) vs. 3(3, 4) points, Z=1.30, P=0.192). The pSOFA score of the non-survival group was significantly higher than that of the survival group (9(6, 12) vs. 4(3, 7) points, Z=6.56, P<0.001), and the PCIS score was significantly lower than that of the survival group (72(68, 81) vs. 82(76, 88) points, Z=5.90, P<0.001). The predictive value of pSOFA (AUC=0.82) and PCIS (AUC=0.78) for sepsis mortality was significantly higher than that of SIRS (AUC=0.56) (Z=6.59, 4.23, both P<0.001). There was no significant difference between pSOFA and PCIS (Z=1.35, P=0.176). Platelet count, procalcitonin, lactic acid, albumin, creatinine, total bilirubin, activated partial thromboplastin time, prothrombin time and international normalized ratio were all able to predict mortality of sepsis to a certain degree (AUC=0.64, 0.68, 0.80, 0.64, 0.68, 0.60, 0.77, 0.75, 0.76, all P<0.05). Conclusion: Compared with SIRS, both pSOFA and PCIS had better predictive value in the mortality of pediatric sepsis in PICU.

Identifying inpatient mortality in MarketScan claims data using machine learning

PURPOSE

Inpatient mortality is an important variable in epidemiology studies using claims data. In 2016, MarketScan data began obscuring specific hospital discharge status types for patient privacy, including inpatient deaths, by setting the values to missing. We used a machine learning approach to correctly identify hospitalizations that resulted in inpatient death using data prior to 2016.

METHODS

All hospitalizations from 2011 to 2015 with discharge status of missing, died, or one of the other subsequently obscured values were identified and divided into a training set and two test sets. Predictor variables included age, sex, elapsed time from hospital discharge until last observed claim and until healthcare plan disenrollment, and absence of any discharge diagnoses. Four machine learning methods were used to train statistical models and assess sensitivity and positive predictive value (PPV) for inpatient mortality.

RESULTS

Overall 1 307 917 hospitalizations were included. All four machine learning approaches performed well in all datasets. Random forest performed best with 88% PPV and 93% sensitivity for the training set and both test sets. The two factors with the highest relative importance for identifying inpatient mortality were having no observed claims for the patient on days 2-91 following hospital discharge and patient disenrollment from the healthcare plan within 60 days following hospital discharge.

CONCLUSION

We successfully developed machine learning algorithms to identify inpatient mortality. This approach can be applied to obscured data to accurately identify inpatient mortality among hospitalizations with missing discharge status.

Rheumatoid Arthritis Disease Activity and Hospitalized Infection in a Large US Registry

OBJECTIVES

The association between disease activity and infection risk among patients with rheumatoid arthritis (RA) is not clear, and it is challenging to determine because of confounding due to the effects of RA treatments and comorbidities.

METHODS

Using patients with RA in the CorEvitas registry with Medicare coverage in 2006-2019, we identified eligible patients who had at least 1 visit with moderate disease activity based on the Clinical Disease Activity Index (CDAI; CDAI >10 and ≤22). Follow-up started at the subsequent CorEvitas visit. Hospitalized infection during follow-up was assessed in linked Medicare data. We calculated the incidence rate of hospitalized infection for patients in remission, and low and moderate disease activity, and estimated the effect of time-varying CDAI on hospitalized infection by controlling for baseline and time-dependent confounders using marginal structural models (MSMs).

RESULTS

A total of 3,254 patients with RA were eligible for analysis, among which 529 hospitalized infections were identified during follow-up. The crude incidence of hospitalized infection was 3.8 per 100 person-years for patients in remission, 6.6 for low disease activity, and 8.0 for moderate disease activity. Using MSMs and compared with being in remission, the hazard ratio of hospitalized infection associated with low disease activity was 1.60 (95% confidence interval [95% CI] 1.13-2.28) and with moderate disease activity was 1.83 (95% CI 1.30-2.64).

CONCLUSION

The risk of hospitalized infection was higher for patients with RA in low or moderate disease activity than for those in remission after accounting for the interplay of disease activity, RA treatments, treatment switching, and other potential confounders.

Real-World Sarilumab Use and Rule Testing to Predict Treatment Response in Patients with Rheumatoid Arthritis: Findings from the RISE Registry

INTRODUCTION

Clinical trial findings may not be generalizable to routine practice. This study evaluated sarilumab effectiveness in patients with rheumatoid arthritis (RA) and tested the real-world applicability of a response prediction rule, derived from trial data using machine learning (based on C-reactive protein [CRP] > 12.3 mg/l and seropositivity [anticyclic citrullinated peptide antibodies, ACPA +]).

METHODS

Sarilumab initiators from the ACR-RISE Registry, with ≥ 1 prescription on/after its FDA approval (2017-2020), were divided into three cohorts based on progressively restrictive criteria: Cohort A (had active disease), Cohort B (met eligibility criteria of a phase 3 trial in RA patients with inadequate response/intolerance to tumor necrosis factor inhibitors [TNFi]), and Cohort C (characteristics matched to the phase 3 trial baseline). Mean changes in Clinical Disease Activity Index (CDAI) and Routine Assessment of Patient Index Data 3 (RAPID3) were evaluated at 6 and 12 months. In a separate cohort, predictive rule was tested based on CRP levels and seropositive status (ACPA and/or rheumatoid factor); patients were categorized into rule-positive (seropositive with CRP > 12.3 mg/l) and rule-negative groups to compare the odds of achieving CDAI low disease activity (LDA)/remission and minimal clinically important difference (MCID) over 24 weeks.

RESULTS

Among sarilumab initiators (N = 2949), treatment effectiveness was noted across cohorts, with greater improvement noted for Cohort C at 6 and 12 months. Among the predictive rule cohort (N = 205), rule-positive (vs. rule-negative) patients were more likely to reach LDA (odds ratio: 1.5 [0.7, 3.2]) and MCID (1.1 [0.5, 2.4]). Sensitivity analyses (CRP > 5 mg/l) showed better response to sarilumab in rule-positive patients.

CONCLUSIONS

In real-world setting, sarilumab demonstrated treatment effectiveness, with greater improvements in the most selective population, mirroring phase 3 TNFi-refractory and rule-positive RA patients. Seropositivity appeared a stronger driver for treatment response than CRP, although optimization of the rule in routine practice requires further data.

Practical guide for setting up a Fourier light-field microscope

A practical guide for the easy implementation of a Fourier light-field microscope is reported. The Fourier light-field concept applied to microscopy allows the capture in real time of a series of 2D orthographic images of microscopic thick dynamic samples. Such perspective images contain spatial and angular information of the light-field emitted by the sample. A feature of this technology is the tight requirement of a double optical conjugation relationship, and also the requirement of NA matching. For these reasons, the Fourier light-field microscope being a non-complex optical system, a clear protocol on how to set up the optical elements accurately is needed. In this sense, this guide is aimed to simplify the implementation process, with an optical bench and off-the-shelf components. This will help the widespread use of this recent technology.

Geographic Variation in Disease Burden and Mismatch in Care of Patients With Rheumatoid Arthritis in the United States

OBJECTIVE

Our objective was to evaluate the factors associated with regional variation of rheumatoid arthritis (RA) disease burden in the US.

METHODS

In a retrospective cohort analysis of Rheumatology Informatics System for Effectiveness (RISE) registry data, seropositivity, RA disease activity (Clinical Disease Activity Index [CDAI], Routine Assessment of Patient Index Data-version 3 [RAPID3]), socioeconomic status (SES), geographic region, health insurance type, and comorbidity burden were recorded. An Area Deprivation Index score of more than 80 defined low SES. Median travel distance to practice sites' zip codes was calculated. Linear regression was used to analyze associations between RA disease activity and comorbidity adjusting for age, sex, geographic region, race, and insurance type.

RESULTS

Enrollment data for 184,722 patients with RA from 182 RISE sites were analyzed. Disease activity was higher in African American patients, in those from Southern regions, and in those with Medicaid or Medicare coverage. Greater comorbidity was prevalent in patients in the South and those with Medicare or Medicaid coverage. There was moderate correlation between comorbidity and disease activity (Pearson coefficient: RAPID3 0.28, CDAI 0.15). High-deprivation areas were mainly in the South. Less than 10% of all participating practices cared for more than 50% of all Medicaid recipients. Patients living more than 200 miles away from specialist care were located mainly in Southern and Western regions.

CONCLUSION

A disproportionately large portion of socially deprived, high comorbidity, and Medicaid-covered patients with RA were cared for by a minority of rheumatology practices. Studies are needed in high-deprivation areas to establish more equitable distribution of specialty care for patients with RA.

Influence of Multimorbidity on New Treatment Initiation and Achieving Target Disease Activity Thresholds in Active Rheumatoid Arthritis: A Cohort Study Using the Rheumatology Informatics System for Effectiveness Registry

OBJECTIVE

To determine whether multimorbidity is associated with treatment changes and achieving target disease activity thresholds in patients with active rheumatoid arthritis (RA).

METHODS

We conducted a retrospective cohort study of adults with active RA within the Rheumatology Informatics System for Effectiveness (RISE) registry. Multimorbidity was measured using RxRisk, a medication-based index of chronic disease. We used multivariable logistic regression models to assess the associations of multimorbidity with the odds of initiating a new disease-modifying antirheumatic drug (DMARD) in active RA, and among those initiating a new DMARD, the odds of achieving low disease activity or remission.

RESULTS

We identified 15,626 patients using the Routine Assessment of Patient Index Data 3 (RAPID3) cohort and 5,733 patients using the Clinical Disease Activity Index (CDAI) cohort. All patients had active RA, of which 1,558 (RAPID3) and 834 (CDAI) initiated a new DMARD and had follow-up disease activity measures. Patients were middle aged, female, and predominantly White, and on average received medications from 6 to 7 RxRisk categories. Multimorbidity was not associated with new DMARD initiation in active RA. However, a greater burden of multimorbidity was associated with lower odds of achieving treatment targets (per 1-unit RxRisk: RAPID3 cohort odds ratio [OR] 0.95 [95% confidence interval (95% CI) 0.91, 0.98]; CDAI cohort OR 0.94 [95% CI 0.90, 0.99]). Those with the highest burden of multimorbidity had the lowest odds of achieving target RA disease activity (RAPID3 cohort OR 0.54 [95% CI 0.34, 0.85]; CDAI cohort OR 0.65 [95% CI 0.37, 1.15]).

CONCLUSION

These findings from a large, real-world registry illustrate the potential impact of multimorbidity on treatment response and indicate that a more holistic management approach targeting multimorbidity may be needed to optimize RA disease control in these patients.

ISPE-Endorsed Guidance in Using Electronic Health Records for Comparative Effectiveness Research in COVID-19: Opportunities and Trade-Offs

As the scientific research community along with healthcare professionals and decision makers around the world fight tirelessly against the coronavirus disease 2019 (COVID-19) pandemic, the need for comparative effectiveness research (CER) on preventive and therapeutic interventions for COVID-19 is immense. Randomized controlled trials markedly under-represent the frail and complex patients seen in routine care, and they do not typically have data on long-term treatment effects. The increasing availability of electronic health records (EHRs) for clinical research offers the opportunity to generate timely real-world evidence reflective of routine care for optimal management of COVID-19. However, there are many potential threats to the validity of CER based on EHR data that are not originally generated for research purposes. To ensure unbiased and robust results, we need high-quality healthcare databases, rigorous study designs, and proper implementation of appropriate statistical methods. We aimed to describe opportunities and challenges in EHR-based CER for COVID-19-related questions and to introduce best practices in pharmacoepidemiology to minimize potential biases. We structured our discussion into the following topics: (1) study population identification based on exposure status; (2) ascertainment of outcomes; (3) common biases and potential solutions; and (iv) data operational challenges specific to COVID-19 CER using EHRs. We provide structured guidance for the proper conduct and appraisal of drug and vaccine effectiveness and safety research using EHR data for the pandemic. This paper is endorsed by the International Society for Pharmacoepidemiology (ISPE).

P02.01.B The telomere maintenance mechanism spectrum and its dynamics in gliomas

The activation of the telomere maintenance mechanism (TMM) is one of the critical drivers of cancer cell immortality. In gliomas, TERT expression and TERT promoter mutation are considered to reliably indicate telomerase activation, while ATRX mutation indicates alternative lengthening of telomeres (ALT). However, these relationships have not been extensively validated in tumor tissues. Here, we show through the direct measurement of telomerase activity and ALT in a large set of glioma samples that the TMM in glioma cannot be defined in the dichotomy of telomerase activity and ALT, regardless of TERT expression, TERT promoter mutation and ATRX mutation. Moreover, we observed that a considerable proportion of gliomas lack both telomerase activity and ALT (Neither group). And this Neither group exhibited evidence of slow growth potential. From a set of longitudinal samples from a separate cohort of glioma patients, we discovered that the TMM is not fixed but changes with glioma progression. Collectively, these results suggest that the TMM is a dynamic entity and that reflects the plasticity of the oncogenic biological status of tumor cells and that the TMM should be defined by the direct measurement of telomerase enzyme activity and evidence of ALT.

Brain charts for the human lifespan

Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http://www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.

Inpatient Diagnosis of Delirium and Encephalopathy: Coding Trends 2011-2018

OBJECTIVES

Ten medical societies have called for scientific literature to integrate research on delirium and encephalopathy, while physicians continually debate how to accurately document diagnoses of acute confusional states. To promote this integration, we evaluated trends in diagnoses of delirium and encephalopathy among hospitalized adults and physician specialties, incorporating transitions to the Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5) and the International Classification of Disease-10 (ICD-10).

METHODS

Using 2011-2018 IBM MarketScan datasets, we identified delirium/encephalopathy patients ≥ 18 years using ICD-9/10 codes among hospitalized patients. We identified physician specialties associated with the hospitalization and comorbidities within one year prior to the diagnosis of delirium or encephalopathy. Log-binomial models were used to evaluate diagnostic trends, adjusting for age, gender, insurance and comorbidities.

RESULTS

We identified 10,509 hospitalized patients with diagnosis of delirium and 94,438 with encephalopathy between 2011-2018. Although the number of patients with either diagnosis increased over time, increased use of delirium diagnosis was less than it was for encephalopathy compared to 2011 after adjusting for covariates (ARR 0.45; 95% CI 0.43 to 0.48). During the 8 years, neurologists and internists increased their use of both diagnoses, whereas psychiatrists only increased their use of delirium. Family practice physicians and nurse practitioners presented no significant change in either diagnosis for this timeframe.

CONCLUSIONS

Our results suggest that refined diagnostic codes and criteria may alter trends among clinicians in diagnosing delirium and/or encephalopathy. Additional diagnostic clarity may be necessary to support refined diagnoses among family practice physicians and nurse practitioners.

The Annual Diagnostic Prevalence of Ankylosing Spondylitis and Axial Spondyloarthritis in the United States Using Medicare and MarketScan Databases

Objective

The objective of this study was to investigate the diagnostic prevalence of ankylosing spondylitis (AS) and axial spondyloarthritis (axSpA) in the United States and examine treatment patterns for these diseases.

Methods

This retrospective observational cohort study drew from 2006‐2014 data in the US Medicare Fee‐for‐Service and IBM MarketScan databases. AS and axSpA diagnoses were identified through International Classification of Diseases, Ninth Revision [ICD‐9] codes. Diagnostic prevalence (per 10,000 patients) was calculated as patients with AS and axSpA with full insurance coverage in each calendar year divided by the total patients with full insurance coverage in the same year. Two diagnosis definitions were used: definition 1 (D1), one or more relevant ICD‐9 codes from hospital claims or two or more relevant ICD‐9 codes from outpatient claims; definition 2 (D2), one or more codes from hospital/outpatient claims. Primary analyses assessed annual AS and axSpA prevalence (D1); sensitivity analyses assessed annual (D2) and 2‐year prevalence. Patterns in prevalence and treatment use were analyzed descriptively; no statistical tests were performed.

Results

An increase in AS prevalence (per 10,000 patients) was seen from 2006 to 2014 in primary analyses (Medicare: 2.12‐3.60; MarketScan: 0.85‐1.42) and sensitivity analyses. A similar trend occurred for axSpA (Medicare: 4.39‐6.52; MarketScan: 1.33‐2.21). For Medicare, the proportion of patients with AS (D1) using tumor necrosis factor α inhibitors (TNFis), conventional synthetic antirheumatic drugs (csARDs), nonsteroidal antiinflammatory drugs (NSAIDs), opioids, and glucocorticoids remained relatively stable; for MarketScan, TNFi‐treated patients increased (51.7% to 65.7%) and NSAID‐treated patients decreased (63.5% to 55.7%).

Conclusion

AS and axSpA prevalence may have increased in the United States between 2006 and 2014. Reasons are unknown, but this may be due to increased disease awareness, among other factors.

Tofacitinib Treatment Safety in Moderate to Severe Ulcerative Colitis: Comparison of Observational Population Cohort Data From the IBM MarketScan® Administrative Claims Database With Tofacitinib Trial Data

BACKGROUND

Tofacitinib is an oral, small molecule Janus kinase inhibitor for the treatment of ulcerative colitis (UC). We aimed to estimate the overall incidence of safety events in patients with UC in a real-life population cohort for comparison with the tofacitinib UC clinical trial program.

METHODS

Clinical trial-like criteria were applied to an IBM MarketScan® claims database population-based cohort (n = 22,967) of patients with UC (October 2010 to September 2015) to identify a UC trial-like cohort treated with tumor necrosis factor inhibitors (TNFi; n = 6366) to compare with the tofacitinib UC clinical trial cohort (n = 1157).

RESULTS

Incidence rates (events per 100 patient-years; [95% confidence interval]) in the UC trial-like cohort were as follows: serious infections, 3.33 (2.73-4.02); opportunistic infections (OIs; excluding herpes zoster [HZ]), 1.45 (1.06-1.93); HZ, 1.77 (1.34-2.29); malignancies (excluding nonmelanoma skin cancer [NMSC]), 0.63 (0.43-0.90); NMSC, 1.69 (1.35-2.10); major adverse cardiovascular events (MACE), 0.51 (0.31-0.79); pulmonary embolism (PE), 0.54 (0.30-0.89); deep vein thrombosis (DVT), 1.41 (1.00-1.93); and gastrointestinal perforations, 0.31 (0.16-0.54). Compared with the UC trial-like cohort, tofacitinib-treated patients had numerically lower incidence rates for serious infections (1.75 [1.27-2.36]), OIs (excluding HZ; 0.16 [0.04-0.42]), NMSC (0.78 [0.47-1.22]), PE (0.16 [0.04-0.41]), and DVT (0.04 [0.00-0.23]), and a higher rate for HZ (3.57 [2.84-4.43]); rates for malignancies (excluding NMSC), MACE, and gastrointestinal perforations were similar.

CONCLUSIONS

When acknowledging limitations of comparing claims data with controlled clinical trial data, incidence rates for HZ among TNFi-treated patients in the UC trial-like cohort were lower than in the tofacitinib UC clinical trial cohort; rates for serious infections, OIs, NMSC, PE, and DVT were numerically higher.

CLINICALTRIALS.GOV

NCT00787202, NCT01465763, NCT01458951, NCT01458574, NCT01470612.

ANCA-associated Vasculitis Management in the United States: Data From the Rheumatology Informatics System for Effectiveness (RISE) Registry

OBJECTIVE

The management of antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) has evolved substantially over the last 2 decades. We sought to characterize AAV treatment patterns in the United States.

METHODS

We identified patients with AAV in the Rheumatology Informatics System for Effectiveness (RISE) registry who had at least 2 rheumatology clinician visits between January 1, 2015, and December 31, 2017. Demographics, medications, laboratory test results, and billing codes were extracted from the medical record. Demographic and prescription trends were assessed overall and across US regions.

RESULTS

We identified 1462 patients with AAV, 259 (18%) with new or relapsing AAV. The majority were classified as having granulomatosis with polyangiitis (75%). The mean age was 59.8 years and 59% were female. The majority of patients were in the South (45%) followed by the Mid-West (32%), West (12%), and Northeast (8%). Patients had a median of 3 visits and follow-up of 579 days. The most commonly prescribed medications during the study period were glucocorticoids (86%) followed by rituximab (45%), methotrexate (33%), azathioprine (32%), and mycophenolate mofetil (18%); cyclophosphamide (CYC) was rarely used (7%). At the most recent visits in RISE, 47% of patients were on glucocorticoids. Prescription trends were similar across regions.

CONCLUSION

To our knowledge, this is the first study to evaluate the demographics and management of AAV by rheumatologists outside of major referral centers. Management strategies vary widely, but CYC is rarely used. These observations can be used to inform future research priorities. Additional studies are needed to characterize AAV severity in RISE as well as patient and provider treatment preferences.

POS0638 DISEASE SEVERITY AND OUTCOMES AMONG PATIENTS WITH RHEUMATOID ARTHRITIS WHO RECEIVE A NEWLY APPROVED BIOLOGIC: REAL-WORLD US EXPERIENCE WITH SARILUMAB FROM THE ACR RISE REGISTRY

Background:

Patients with rheumatoid arthritis (RA) who have received multiple biologics or targeted therapies over time tend to have more refractory and more severe disease, which may lead to worse clinical response to treatment.

Objectives:

We used data from the ACR RISE registry to assess whether disease severity was greater in those who received sarilumab shortly after its FDA approval (May 2017) than in subsequent time periods and to evaluate the effectiveness of sarilumab in populations with various degrees of disease severity.

Methods:

Patients with RA who initiated sarilumab treatment in the period 2017-2020 were identified in the ACR RISE registry and divided into Cohort 1 (2017, year of the FDA approval) and the calendar year-based Cohorts 2-4 (2018-2020). Patient demographics, RA-related features, and comorbidities were determined using data prior to sarilumab initiation. The cohorts were compared using chi-square test (categorical variables) and a nonparametric test (continuous variables). Sarilumab effectiveness was assessed using 3 cohorts assembled based on progressively restrictive criteria: Active Disease cohort (Clinical Disease Activity Index [CDAI] >10 or Routine Assessment of Patient Index Data 3 [RAPID3] >6, and C-reactive protein, if measured, ≥8 mg/L), TARGET Eligibility cohort (patients who satisfied enrolment criteria for TARGET,1 a Phase 3 sarilumab trial in patients with RA and an inadequate response to TNF inhibitors), and TARGET Baseline cohort (patients from TARGET Eligibility cohort with characteristics weighted to match those from the TARGET trial baseline,1 using the matching-adjusted indirect comparison method2). In all 3 effectiveness cohorts, mean changes in CDAI and RAPID3 at 6 and 12 months post-initiation of sarilumab were evaluated using a model adjusted for baseline score, age, sex, race, calendar year, and seropositivity.

Results:

A total of 2949 patients, treated by 585 rheumatologists, initiated sarilumab treatment in the period 2017–2020. The 4 yearly cohorts were relatively similar in terms of patients’ age, sex, race, and most clinical characteristics. However, patients receiving sarilumab shortly after FDA approval (Cohort 1) had more ambulatory visits, a greater number of previously used non-TNFi biologics (particularly tocilizumab), and a higher comorbidity burden, and were more likely to be current users of glucocorticoids or opioids than sarilumab initiators in the subsequent 3 years. In the 3 cohorts used to assess sarilumab effectiveness, the greatest improvement was observed in the TARGET Baseline cohort, which also had the greatest mean baseline CDAI score (43), compared with the other two (24 both).

Conclusion:

In this real-world cohort, we observed modest evidence for channeling of patients with greater RA severity and greater prior exposure to non-TNFi biologics to sarilumab shortly after its FDA approval. This cohort effect did not diminish the effectiveness of sarilumab. All cohorts showed improvement, with the greatest clinical improvement observed in the cohort with the highest baseline CDAI score who most closely resembled those enrolled in a phase 3 trial of patients with an inadequate response to TNF inhibitors.

References:

[1]Fleischmann R, et al. Arthritis Rheumatol 2017;69:277-290.

[2]Signorovitch JE et al. Value Health 2012;15:940-7.

Figure 1.

Adjusted improvements in CDAI and RAPID3

Acknowledgements:

This study was sponsored by Sanofi. Medical writing support was provided by Vojislav Pejović, PhD (Eloquent Medical Affairs, division of Envision Pharma Group) and funded by Sanofi.

Disclosure of Interests:

Stefano Fiore Employee of: Sanofi, Lang Chen: None declared, Cassie Clinton Consultant of: Information available in profile, Huifeng Yun Grant/research support from: Research support for Pfizer, Amy Praestgaard Employee of: Sanofi, Kerri Ford Employee of: Sanofi, Jeffrey Curtis Consultant of: Received consulting and research grants from AbbVie, Amgen, BMS, Lilly, Gilead, GSK, Janssen, Myriad, Pfizer, Roche, Samsung, Sandoz, Sanofi, UCB, Grant/research support from: Received consulting and research grants from AbbVie, Amgen, BMS, Lilly, Gilead, GSK, Janssen, Myriad, Pfizer, Roche, Samsung, Sandoz, Sanofi, UCB

Meaningful Change Thresholds for Patient-Reported Outcomes Measurement Information System (PROMIS) Fatigue and Pain Interference Scores in Patients With Rheumatoid Arthritis

OBJECTIVE

We estimated meaningful change thresholds (MCTs) for Patient-Reported Outcomes Measurement Information System (PROMIS) Fatigue and Pain Interference in rheumatoid arthritis (RA).

METHODS

The responsiveness of several patient-reported outcomes (PROs) was assessed among 521 patients with RA in the Arthritis, Rheumatism, and Aging Medical Information Systems (ARAMIS) cohort. PROMIS Fatigue (7-item) and Pain Interference (6-item) short form instruments were administered at baseline, 6 months, and 12 months. Self-reported retrospective changes over the previous 6 months (a lot better/worse, a little better/worse, stayed the same) were obtained at 6 and 12 months' follow-up. We estimated MCTs using the mean change in PROMIS scores for patients who rated their change "a little better" or "a little worse."

RESULTS

Baseline fatigue and pain interference scores were near normal (median 54 and 56, respectively). At 6 months, 7.9% of patients reported their fatigue was a little better compared to baseline (mean change [SD]: -2.6 [4.8]) and 22.8% a little worse (1.7 [5.6]). Pain was a little better for 11.5% of patients (-1.9 [6.1]) and a little worse for 24.2% of patients (0.6 [5.7]). At 12 months, results were similar. Thus, the MCT range was 1-2 points for both fatigue and pain interference. Correlations between change scores and retrospective ratings were low (0.13-0.29), indicating possible underestimation of MCT.

CONCLUSION

The group-level MCT for PROMIS Fatigue and Pain Interference is roughly 2-3 points and corresponds to a small effect size, which is consistent with earlier work demonstrating an MCT of 2 points for PROMIS Physical Functioning.

Association of Anti-Tumor Necrosis Factor Therapy With Mortality Among Veterans With Inflammatory Bowel Disease

IMPORTANCE

Inflammatory bowel disease (IBD) is commonly treated with corticosteroids and anti-tumor necrosis factor (TNF) drugs; however, medications have well-described adverse effects. Prior work suggests that anti-TNF therapy may reduce all-cause mortality compared with prolonged corticosteroid use among Medicare and Medicaid beneficiaries with IBD.

OBJECTIVE

To examine the association between use of anti-TNF or corticosteroids and all-cause mortality in a national cohort of veterans with IBD.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used a well-established Veteran's Health Administration cohort of 2997 patients with IBD treated with prolonged corticosteroids (≥3000-mg prednisone equivalent and/or ≥600 mg of budesonide within a 12-month period) and/or new anti-TNF therapy from January 1, 2006, to October 1, 2015. Data were analyzed between July 1, 2019, and December 31, 2020.

EXPOSURES

Use of corticosteroids or anti-TNF.

MAIN OUTCOMES AND MEASURES

The primary end point was all-cause mortality as defined by the Veterans Health Administration vital status file. Marginal structural modeling was used to compare associations between anti-TNF therapy or corticosteroid use and all-cause mortality.

RESULTS

A total of 2997 patients (2725 men [90.9%]; mean [SD] age, 50.0 [17.4] years) were included in the final analysis, 1734 (57.9%) with Crohn disease (CD) and 1263 (42.1%) with ulcerative colitis (UC). All-cause mortality was 8.5% (n = 256) over a mean (SD) of 3.9 (2.3) years' follow-up. At cohort entry, 1836 patients were new anti-TNF therapy users, and 1161 were prolonged corticosteroid users. Anti-TNF therapy use was associated with a lower likelihood of mortality for CD (odds ratio [OR], 0.54; 95% CI, 0.31-0.93) but not for UC (OR, 0.33; 95% CI, 0.10-1.10). In a sensitivity analysis adjusting prolonged corticosteroid users to include patients receiving corticosteroids within 90 to 270 days after initiation of anti-TNF therapy, the OR for UC was statistically significant, at 0.33 (95% CI, 0.13-0.84), and the OR for CD was 0.55 (95% CI, 0.33-0.92).

CONCLUSIONS AND RELEVANCE

This study suggests that anti-TNF therapy may be associated with reduced mortality compared with long-term corticosteroid use among veterans with CD, and potentially among those with UC.

Inpatient Diagnosis of Delirium and Encephalopathy: Coding Trends in 2011-2018

Physicians have long debated the diagnosis of acute confusional states as delirium or encephalopathy, often based on specialty. Recently, CMS assigned a lower severity to the nonspecific behavioral diagnosis of delirium than for the pathophysiological diagnosis of encephalopathy, potentially exacerbating these disagreements. Therefore, we sought to evaluate trends in these two diagnoses among hospitalized adults. Using 2011-2018 IBM MarketScan datasets, we identified delirium/encephalopathy patients who were ≥ 18 years and enrolled with medical and pharmacy coverage for each calendar year. Delirium/encephalopathy were defined using validated ICD-9/10 codes among hospitalized patients. We identified the physician specialties associated with the hospitalization and comorbidities using ICD9/10 inpatient/outpatient diagnosis codes within one year prior to the diagnosis of delirium or encephalopathy. Log-binomial models were used to evaluate the trends adjusting for age, gender, insurance and comorbidities. We identified 10,418 delirium and 87,393 encephalopathy hospitalized patients in 2011-2018. Of these patients, the total number of patients with either diagnosis increased, but the proportion of patients with delirium for each year decreased from 20% in 2011 to 9% in 2018. During the 8 years, neurologists and internists increased their use of both diagnoses, whereas psychiatrists only increased for delirium. Patients with encephalopathy are more likely to be older, female, and have more comorbidities. These shifts in diagnosis complicate the study of delirium and encephalopathy, and can lead to erroneous conclusions about trends in the incidence and prevalence of these disorders unless properly understood.

Evaluation of the Effect of Diabetes on Rheumatoid Arthritis-related Outcomes in an Electronic Health Record-based Rheumatology Registry

OBJECTIVE

Patients with rheumatoid arthritis (RA) who also have diabetes mellitus (DM) might have worse clinical outcomes and adverse events compared to patients with RA who do not have DM. We evaluated the effects of DM on Health Assessment Questionnaire (HAQ) changes and outpatient infection rates in patients with RA.

METHODS

Using the American College of Rheumatology's Rheumatology Informatics System for Effectiveness (RISE) electronic health record-based registry, we identified patients with RA who had ≥ 1 rheumatologist visit with a HAQ measured in 2016 (index visit), ≥ 1 previous visit, and a subsequent outcome visit with the same HAQ measured at 12 months (± 3 months). We identified DM by diagnosis codes, medications, or laboratory values. Outpatient infection was defined by diagnosis codes or antiinfective medications. We calculated mean HAQ change and incidence rate (IR) of outpatient infections among patients with and without DM. Generalized linear models and Cox regression were used to calculate the adjusted mean HAQ change and HRs.

RESULTS

We identified 3853 RA patients with DM and 18,487 without DM. The mean HAQ change between index and outcome visit among patients with DM was 0.03 and without DM was 0.002 (P < 0.01). We identified 761 outpatient infections for patients with DM with an IR of 22.6 (95% CI 21.0-24.2) per 100 person-years and 3239 among patients without DM with an IR of 19.8 (95% CI 19.1-20.5). The adjusted HR of outpatient infections among patients with DM was 0.99 (95% CI 0.91-1.07), compared to patients without DM.

CONCLUSION

Patients with RA with concomitant DM had greater worsening, or less improvement, in their functional status, suggesting additional interventions may be needed for RA patients with DM to optimize treatment and management of other comorbidities.

Risk for Serious Infection With Low-Dose Glucocorticoids in Patients With Rheumatoid Arthritis : A Cohort Study

BACKGROUND

Low-dose glucocorticoids are frequently used for the management of rheumatoid arthritis (RA) and other chronic conditions, but the safety of long-term use remains uncertain.

OBJECTIVE

To quantify the risk for hospitalized infection with long-term use of low-dose glucocorticoids in patients with RA receiving stable disease-modifying antirheumatic drug (DMARD) therapy.

DESIGN

Retrospective cohort study.

SETTING

Medicare claims data and Optum's deidentified Clinformatics Data Mart database from 2006 to 2015.

PATIENTS

Adults with RA receiving a stable DMARD regimen for more than 6 months.

MEASUREMENTS

Associations between glucocorticoid dose (none, ≤5 mg/d, >5 to 10 mg/d, and >10 mg/d) and hospitalized infection were evaluated using inverse probability-weighted analyses, with 1-year cumulative incidence predicted from weighted models.

RESULTS

247 297 observations were identified among 172 041 patients in Medicare and 58 279 observations among 44 118 patients in Optum. After 6 months of stable DMARD use, 47.1% of Medicare patients and 39.5% of Optum patients were receiving glucocorticoids. The 1-year cumulative incidence of hospitalized infection in Medicare patients not receiving glucocorticoids was 8.6% versus 11.0% (95% CI, 10.6% to 11.5%) for glucocorticoid dose of 5 mg or less per day, 14.4% (CI, 13.8% to 15.1%) for greater than 5 to 10 mg/d, and 17.7% (CI, 16.5% to 19.1%) for greater than 10 mg/d (all P < 0.001 vs. no glucocorticoids). The 1-year cumulative incidence of hospitalized infection in Optum patients not receiving glucocorticoids was 4.0% versus 5.2% (CI, 4.7% to 5.8%) for glucocorticoid dose of 5 mg or less per day, 8.1% (CI, 7.0% to 9.3%) for greater than 5 to 10 mg/d, and 10.6% (CI, 8.5% to 13.2%) for greater than 10 mg/d (all P < 0.001 vs. no glucocorticoids).

LIMITATION

Potential for residual confounding and misclassification of glucocorticoid dose.

CONCLUSION

In patients with RA receiving stable DMARD therapy, glucocorticoids were associated with a dose-dependent increase in the risk for serious infection, with small but significant risks even at doses of 5 mg or less per day. Clinicians should balance the benefits of low-dose glucocorticoids with this potential risk.

PRIMARY FUNDING SOURCE

National Institute of Arthritis and Musculoskeletal and Skin Diseases.

Tissue tracking MR to evaluate left ventricular global myocardial deformation in patients with cardiac amyloidosis of transmural late gadolinium enhancement

Purpose

Cardiac amyloidosis (CA) is a major cause of mortality in patients with amyloidosis because it leads to heart failure and lethal arrhythmia. The present study was aimed to evaluate left ventricular (LV) global myocardial deformation in patients with CA of transmural late gadolinium enhancement (LGE) using tissue tracking MRI.

Materials and methods

Thirty-nine patients with CA, confirmed by cardiac MRI, and a biopsy of at least one involved organ were enrolled. According to LV ejection fraction (LVEF), they were divided into reduced LVEF (CArEF) and preserved EF (CApEF) groups. Thirty-nine normal controls were recruited (NC). Tissue tracking analysis was done based on cine MRI sequences. LV global longitudinal strain (GLS), global circumferential strain (GCS), and global radial strain (GRS) were computed.

Results

GLS [CArEF vs. CApEF vs. NC: (−5.82±2.42) % vs. (−8.44±4.15) % vs. (−14.74±2.93)%], GCS [CArEF vs. CApEF vs. NC: (−9.47±2.96) % vs. (−15.01±1.81) % vs. (−19.86±2.30) %], and GRS [CArEF vs. CApEF vs. NC: (11.37±4.68) % vs. (20.61±6.27) % vs. (39.02±8.98) %] were all reduced in the CArEF and CApEF groups compared with healthy control subjects (all P&lt;0.01). GCS and GRS in the CArEF group were reduced compared with the CApEF group (P&lt;0.01). GLS, GCS, and GRS were also strongly correlated with LVEF (r=−0.77, −0.88, and 0.83, respectively; P&lt;0.01). Furthermore, the optimal cutoff values to predict LVEF reduction were −9.31% (sensitivity 88%, specificity 97%) for GLS, −14.13% (sensitivity 96%, specificity 97%) for GCS, and 20.11% (sensitivity 90%, specificity 97%) for GRS.

Conclusion

MRI-based LV global deformation parameters could be a useful method to assess LV myocardial systolic function and predict LVEF reduction in patients with CA of transmural enhancement on LGE. The differences of GCS and GRS between the CArEF and CApEF groups may also reflect preserved contractile function of the mid- or/and subepicardial myocardium.

Figure 1. LV deformation parameters

Funding Acknowledgement

Type of funding source: None

Benefits of Methotrexate Use on Cardiovascular Disease Risk Among Rheumatoid Arthritis Patients Initiating Biologic Disease-modifying Antirheumatic Drugs

OBJECTIVE

Methotrexate (MTX) has been associated with reduced risk for cardiovascular disease (CVD) events among patients with rheumatoid arthritis (RA) not exposed to biologic disease-modifying antirheumatic drugs (bDMARDs). The effect of concomitant MTX on CVD risk among RA patients initiating bDMARDs remains unknown.

METHODS

A retrospective cohort study was conducted to assess the effect of MTX on CVD risk using 2006-2015 Medicare claims data for patients with RA initiating bDMARD. The main exposure was current use of MTX, updated in a time-varying fashion. The primary outcome was a composite of incident myocardial infarction (MI), stroke, and fatal CVD. Secondary outcomes were each event that comprised the primary outcome. Incidence rates (IR) and 95% CI were calculated using Poisson regression. Associations between MTX and risk of CVD were assessed using Cox regression.

RESULTS

A total of 88,255 bDMARD initiations and 1861 CVD events were included in this study. Mean age was 64.6 (12.3) years, 84.0% were female, and 68.2% were non-Hispanic White. The crude IRs (95% CI) for CVD were 17.9 (16.9-18.8) and 12.1 (11.1-13.2) per 1000 patient-years among MTX unexposed and exposed, respectively. The multivariable adjusted HR (95% CI) for CVD events associated with MTX was 0.76 (0.68-0.85). Multivariable adjusted HRs were 0.78 (0.66-0.91), 0.74 (0.62-0.88), 0.77 (0.68-0.86), and 0.82 (0.73-0.93) for MI, stroke, MI or stroke, and a composite CVD outcome, respectively. Results were robust in sensitivity and subgroup analyses.

CONCLUSION

Among patients with RA receiving biologics, concomitant MTX use was associated with a 24% lower risk for CVD events.

Use of ICD-10 diagnosis codes to identify seropositive and seronegative rheumatoid arthritis when lab results are not available

BACKGROUND

Rheumatoid factor (RF) and anti-cyclic citrullinated peptide (CCP) antibody tests are often measured at the time of rheumatoid arthritis (RA) diagnosis but may not be repeated and therefore not available in electronic health record (EHR) data; lab test results are unavailable in most administrative claims databases. ICD10 coding allows discrimination between rheumatoid factor positive (M05) ("seropositive") and seronegative (M06) patients, but the validity of these codes has not been examined.

METHODS

Using the ACR's Rheumatology Informatics System for Effectiveness (RISE) EHR-based registry and U.S. MarketScan data where some patients have lab test results, we assembled two cohorts. Seropositive RA was defined having a M05 diagnosis code on the second rheumatologist encounter, M06 similarly identified seronegative RA, and RF and anti-CCP lab test results were the gold standard. We calculated sensitivity (Se) and positive predicted value (PPV) of the M05/M06 diagnosis codes.

RESULTS

We identified 43,581 eligible RA patients (RISE) and 1185 (MarketScan) with RF or anti-CCP lab test results available. Using M05 as the proxy for seropositive RA, sensitivity = 0.76, PPV = 0.82 in RISE, and Se = 0.73, PPV = 0.84 in MarketScan. Results for M06 as a proxy for seronegative RA were comparable in RISE, albeit somewhat lower in MarketScan. Over 3 consecutive visits, approximately 90% of RA patients were coded consistently using either M05 or M06 at each visit.

CONCLUSION

Under ICD10, M05 and M06 diagnosis codes are reasonable proxies to identify seropositive and seronegative RA with high sensitivity and positive predictive values if lab test results are not available.

Incidence of venous and arterial thromboembolic events reported in the tofacitinib rheumatoid arthritis, psoriasis and psoriatic arthritis development programmes and from real-world data

Objectives

Tofacitinib is a Janus kinase inhibitor for the treatment of rheumatoid arthritis (RA), psoriatic arthritis (PsA) and ulcerative colitis, and has been investigated in psoriasis (PsO). Routine pharmacovigilance of an ongoing, open-label, blinded-endpoint, tofacitinib RA trial (Study A3921133; NCT02092467) in patients aged ≥50 years and with ≥1 cardiovascular risk factor identified a higher frequency of pulmonary embolism (PE) and all-cause mortality for patients receiving tofacitinib 10 mg twice daily versus those receiving tumour necrosis factor inhibitors and resulted in identification of a safety signal for tofacitinib. Here, we report the incidence of deep vein thrombosis (DVT), PE, venous thromboembolism (VTE; DVT or PE) and arterial thromboembolism (ATE) from the tofacitinib RA (excluding Study A3921133), PsA and PsO development programmes and observational studies. Data from an ad hoc safety analysis of Study A3921133 are reported separately within.

Methods

This post-hoc analysis used data from separate tofacitinib RA, PsO and PsA programmes. Incidence rates (IRs; patients with events per 100 patient-years’ exposure) were calculated for DVT, PE, VTE and ATE, including for populations stratified by defined baseline cardiovascular or VTE risk factors. Observational data from the US Corrona registries (including cardiovascular risk factor stratification), IBM MarketScan research database and the US FDA Adverse Event Reporting System (FAERS) database were analysed.

Results

12 410 tofacitinib-treated patients from the development programmes (RA: n=7964; PsO: n=3663; PsA: n=783) were included. IRs (95% CI) of thromboembolic events among the all tofacitinib cohorts’ average tofacitinib 5 mg and 10 mg twice daily treated patients for RA, respectively, were: DVT (0.17 (0.09–0.27) and 0.15 (0.09–0.22)); PE (0.12 (0.06–0.22) and 0.13 (0.08–0.21)); ATE (0.32 (0.22–0.46) and 0.38 (0.28–0.49)). Among PsO patients, IRs were: DVT (0.06 (0.00–0.36) and 0.06 (0.02–0.15)); PE (0.13 (0.02–0.47) and 0.09 (0.04–0.19)); ATE (0.52 (0.22–1.02) and 0.22 (0.13–0.35)). Among PsA patients, IRs were: DVT (0.00 (0.00–0.28) and 0.13 (0.00–0.70)); PE (0.08 (0.00–0.43) and 0.00 (0.00–0.46)); ATE (0.31 (0.08–0.79) and 0.38 (0.08–1.11)). IRs were similar between tofacitinib doses and generally higher in patients with baseline cardiovascular or VTE risk factors. IRs from the overall Corrona populations and in Corrona RA patients (including tofacitinib-naïve/biologic disease-modifying antirheumatic drug-treated and tofacitinib-treated) with baseline cardiovascular risk factors were similar to IRs observed among the corresponding patients in the tofacitinib development programme. No signals of disproportionate reporting of DVT, PE or ATE with tofacitinib were identified in the FAERS database.

Conclusions

DVT, PE and ATE IRs in the tofacitinib RA, PsO and PsA programmes were similar across tofacitinib doses, and generally consistent with observational data and published IRs of other treatments. As expected, IRs of thromboembolic events were elevated in patients with versus without baseline cardiovascular or VTE risk factors, and were broadly consistent with those observed in the Study A3921133 ad hoc safety analysis data, although the IR (95% CI) for PE was greater in patients treated with tofacitinib 10 mg twice daily in Study A3921133 (0.54 (0.32–0.87)), versus patients with baseline cardiovascular risk factors treated with tofacitinib 10 mg twice daily in the RA programme (0.24 (0.13–0.41)).

Variability in Glucocorticoid Prescribing for Rheumatoid Arthritis and the Influence of Provider Preference on Long-Term Use of Glucocorticoids

OBJECTIVE

Glucocorticoids are recommended for short-term use in rheumatoid arthritis (RA), but many patients continue receiving long-term therapy. We evaluated the variability in glucocorticoid prescribing across rheumatologists to inform interventions to limit long-term glucocorticoid use to the lowest dose necessary.

METHODS

Two cohorts were created using Medicare data from 2006 to 2015. Using cohort 1 (RA patients receiving disease-modifying antirheumatic drugs [DMARDs]), we calculated each rheumatologist's "provider preference" for glucocorticoids (frequency of use compared to other providers), using the ratio of observed to expected number of patients receiving glucocorticoids to account for case mix. In cohort 2 (RA patients receiving stable DMARD therapy), we evaluated whether provider preference for glucocorticoids could independently predict use of ≥5 mg/day of glucocorticoids 6-9 months after initiation of DMARD therapy.

RESULTS

Using cohort 1 (1,272,644 yearly observations; 385,597 patients), we calculated provider preference among 6,875 rheumatologists (28,936 yearly observations). Provider preference was highly variable, with physicians at the lowest and upper quartiles prescribing glucocorticoids 33% less often to 31% more often (25th and 75th percentiles, respectively) than expected. In cohort 2 (155,539 patients receiving stable DMARD therapy), provider preference was strongly associated with glucocorticoid use ≥5 mg/day at 6-9 months, with a predicted probability of use of 22% (95% confidence interval [95% CI] 21.7-22.7) versus 11% (95% CI 10.2-10.9) for a patient seeing a provider in the highest versus lowest quintile of preference.

CONCLUSION

Glucocorticoid prescribing for RA varies greatly among rheumatologists, and provider preference is one of the strongest predictors of a patient's long-term glucocorticoid use. These findings raise quality of care concerns and highlight the need for stronger evidence to guide RA treatment.

Assessing Rheumatoid Arthritis Disease Activity With Patient-Reported Outcomes Measurement Information System Measures Using Digital Technology

OBJECTIVE

Health information technology has enabled efficient measurement of patient-reported outcomes (PROs). The National Institutes of Health Patient-Reported Outcomes Measurement Information System (PROMIS) is becoming more widely adopted for research and routine care, and some PROMIS instruments might be substituted for lengthier, legacy PRO instruments.

METHODS

Four PROMIS computer-adaptive testing (CAT) instruments (pain interference, physical function, sleep disturbance, and fatigue) and the Routine Assessment of Patient Index Data 3 (RAPID3), along with pain intensity and patient global assessment score, were administered to participants in the ArthritisPower registry. The RAPID3 was predicted using different combinations of these variables to create a new score (CAT-PROMIS RAPID3). Kappa statistics and Bland-Altman 95% limits of agreement were used to measure agreement between the observed versus predicted RAPID3.

RESULTS

A total of 6,154 eligible patients contributed 11,275 observations. The mean ± SD age was 52.7 ± 10.5 years, and 93% of patients were women. The median assessment times ranged from 29 seconds (PROMIS sleep disturbance) to 116 seconds (RAPID3). As single pairwise comparisons, the PROMIS CATs examined were modestly correlated (r approximately 0.4-0.7) to one other and RAPID3. Together with the pain intensity and patient global assessment, the PROMIS instruments explained a high fraction of total variance (R² = 0.97) of the RAPID3 score. In the model with the highest agreement (κ = 0.93) between the observed RAPID3 and the CAT-PROMIS predicted RAPID3, Bland-Altman 95% limits of agreement showed minimal residual differences and no systematic biases.

CONCLUSION

There was excellent agreement between the observed RAPID3 and predicted RAPID3 scores estimated using several PROMIS instruments. The Multidimensional Health Assessment Questionnaire and patient global assessment components of RAPID3 may be unnecessary if PROMIS scores are available.

Factors associated with breast cancer screening behaviors in a sample of Jamaican women in 2013

In this study authors aimed to investigate the barriers to participation of a sample of Jamaican women in mammography screening. The data were obtained from a previous survey that was conducted in Jamaica from June to August 2013 in the four parishes (Hanover, St. James, Trelawny, and Westmoreland) served by the Western Regional Health Authority (WRHA). WRHA served four hospitals, five non-randomized health centers, and five sites of community events. The sample consisted of women ranging in age between 35 and 83 years, with the mean age of 50.2 (SD = 10.6). The authors used a logistic regression to determine the extent to which variables were associated with breast cancer screening. The level of significace was 0.1 for the bivariate and multivariable analysis. The main factors associated with the lack of breast cancer screening among the women were: being less than 50 years old, single, never thought about breast cancer screening, in need of childcare, and having more than three children. We identified significant barriers to participation in mammography screening experienced by a sample of Jamaican women. Our results suggest that it is necessary to increase the awareness of the importance of breast screening importance among the women who may never have thought about mammography.

SAT0150 CHANGES IN PATIENT-REPORTED OUTCOME (PRO) SCORES FOR NAUSEA AND FATIGUE FOLLOWING WEEKLY METHOTREXATE DOSE IN A REAL-WORLD SAMPLE OF RA AND PSA PATIENTS IN THE ARTHRITISPOWER REGISTRY

Background:

Methotrexate (MTX) is frequently used in patients with rheumatoid arthritis (RA) or psoriatic arthritis (PsA) because of its beneficial effects in both populations1-3. Despite the well-known benefits of MTX, it is associated with a number of potential side effects4-6These include nausea and fatigue, are often temporally related to the timing of weekly MTX administration, and can be severe. The combined patient-reported side effects, along with potential of long-term toxicity, may make use of MTX more burdensome. Currently, there is a gap in patient-centered studies that focus on patients’ experience with MTX.

Objectives:

Examine patient temporal experience of fatigue and nausea relating to oral MTX therapy for the treatment of RA and PsA.

Methods:

Adult US patients in the ArthritisPower registry with self-reported RA or PsA taking MTX for less than 10 years were invited to participate in the study via email invitation. Participants (pts) completed a screener and brief online survey. In an ancillary study to the ArthritisPower registry and using a self-controlled case series study design where pts serve as their own control to avoid between-person confounding, pts were asked to complete a set of up to 8 assessments within 6-36 hours (‘risk’) and 96-144 hours (‘control’) after taking their oral dose of MTX each week, for up to 4 weeks. Risk and control windows were selected based on the expected temporal relationship between MTX use and peak onset of these symptoms. Assessments included PROMIS short forms for same-day Fatigue, same-day Nausea/Vomiting, and Patient Global. Descriptive statistics were conducted using paired t-tests two-way comparisons. Within-person change in PROMIS scores between the risk (1-2 days after MTX) and control (4-6 days after MTX) windows were analyzed using mixed models for repeated measures, stratified on whether pts reported fatigue or nausea with MTX at baseline. Recruitment for this study is ongoing.

Results:

As of December 2019, 91 pts had participated, of whom 76.9% were living with RA and 28.6% with PsA, with mean baseline PROMIS Patient Global score (SD) of 39.5 (7.1). Mean age (SD) was 50.9 (12.0) years, 84.6% female, 92.3% White, with mean BMI 33.7 (8.8). Mean duration of MTX treatment among current users was 2.1 (2.8) years. Among pts, 41.8% were on a biologic DMARD and 58.2% on non-biologic DMARDs only. Among pts reporting baseline nausea (n=30, 33.0%) where paired within-week measures were observed (n=64 observations among 20 pts), the mean increase in the PROMIS Nausea score was 4.5 units (adjusted p=0.003). Among those reporting MTX-associated fatigue (n=39, 42.9%) as a side effect of MTX on their baseline survey where paired within-week measures were observed (n=96 observations among 28 pts), the mean increase in PROMIS Fatigue was 4.7 (adjusted p=0.004) units. In those pts, the proportion of pts with worsened nausea and fatigue with minimally important difference of >5 units7-8was 40.0% (nausea), and 60.7% (fatigue) [Figures 1 and 2].

Conclusion:

People taking MTX to manage RA or PsA commonly experience bothersome side effects, notably fatigue and nausea, that are temporally related to weekly MTX dosing. In this sample, one-third or more of pts were bothered by nausea or fatigue shortly after MTX dosing, many of them with clinically meaningful symptoms.

References:

[1]Singh JA, et al.Arthritis Rheumatol. 2016;68:1-26.

[2]Singh JA, et al.Arthritis Rheumatol. 2019;71:5-32.

[3]Mease P.Bull NYU Hosp Jt Dis. 2013;71.(suppl 1):S41.

[4]Wang W, et al.Eur J Med Chem. 2018;158:502-516.

[5]Wilsdon TD, et al.Cochrane Database Syst Rev. 2019;1:CD012722.

[6]Husted JA, et al.Ann Rheum Dis. 2009;68:1553-1558.

[7]Norman GR, et al.Med Care. 2003;41:582-92.

[8]Bingham CO, et al.J Patient Rep Outcomes. 2019;3:14.

Disclosure of Interests:

W. Benjamin Nowell: None declared, Elaine Karis Shareholder of: Amgen Inc., Employee of: Amgen Inc., Kelly Gavigan: None declared, Laura Stradford: None declared, Scott Stryker Shareholder of: Amgen Inc., Employee of: Amgen Inc., Huifeng Yun Grant/research support from: Bristol-Myers Squibb and Pfizer, Shilpa Venkatachalam: None declared, Greg Kricorian Shareholder of: Amgen Inc., Employee of: Amgen Inc., Lang Chen: None declared, Hong Zhao: None declared, Fenglong Xie: None declared, Jeffrey Curtis Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Lilly, Myriad, Pfizer, Regeneron, Roche, UCB, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Lilly, Myriad, Pfizer, Regeneron, Roche, UCB

FRI0314 ANNUAL DIAGNOSTIC PREVALENCE OF ANKYLOSING SPONDYLITIS (AS) IN THE UNITED STATES USING MEDICARE AND MARKETSCAN DATA

Background:

Axial spondyloarthritis (axSpA) is a chronic inflammatory disease that affects the axial skeleton and sacroiliac joints, and can be classified as ankylosing spondylitis (AS) or non-radiographic (nr)-axSpA.1A 2016 analysis estimated the US diagnostic prevalence of axSpA to be 0.2% and AS to be 0.1%.2Previous studies use disparate populations and diagnostic definitions;3,4it is therefore unclear how AS prevalence has changed over time.

Objectives:

To investigate the annual diagnostic prevalence of AS in US healthcare insurance claims databases.

Methods:

A retrospective, observational cohort study was conducted using 2006–2014 data from US Medicare Fee-for-Service Claims (5% random sample of all enrolled patients [pts]) and Truven MarketScan®. Eligible pts were ≥20 years (yrs) and had ≥6 months of continuous medical and pharmacy enrolment prior to diagnosis. Diagnoses used relevant International Classification of Disease, 9thversion (ICD-9) diagnosis codes: ICD-9 720.x [x=any number] for “AS and other inflammatory spondylopathies [SpA]” or 720.0 for “AS”. Two diagnosis definitions were used: Definition 1, ≥1 relevant ICD-9 code from hospital discharge or ≥2 from rheumatologist visit; Definition 2, ≥1 relevant ICD-9 code from hospital discharge or rheumatologist visit. Annual diagnostic prevalence of SpA/AS was calculated as “number of enrolled pts who met the definition of SpA/AS within each calendar yr and had full insurance coverage (medical and pharmacy)”, divided by “total number of pts with full insurance coverage in the same yr”. A primary analysis of SpA prevalence rates used Definitions 1 and 2, followed by a sensitivity analysis for AS prevalence rates using only Definition 2. All prevalence rates are shown per 10,000 pts enrolled.

Results:

The annual diagnostic prevalence of SpA appeared to increase from 2006–2014 (Table). Similarly, the sensitivity analysis showed the annual diagnostic prevalence of AS appeared to increase during the period from 2006 (Medicare: 2.87/10,000 pts [n=501,031]; MarketScan: 1.37/10,000 pts [n=17,562,637]) to 2014 (Medicare: 4.77/10,000 pts [n=1,046,107]; MarketScan: 2.14/10,000 pts [n=34,553,135];Figure).

Conclusion:

The apparent increase in diagnostic prevalence of SpA and AS during the period from 2006–‍2014 may be a consequence of increased awareness and availability of effective treatments. Furthermore, the 2009 Assessment of SpondyloArthritis international Society development of the axSpA classification criteria to include pts with both established AS and nr-axSpA may have accelerated this increase.5

References:

[1]Strand V. Mayo Clin Proc 2017;92:555–64;

[2]Curtis J. Perm J 2016;20:15–151;

[3]Reveille J. Arthritis Care Res (Hoboken) 2012;64:905–10;

[4]Danve A. Clin Rheumatol 2019;38:625–34;

[5]Rudwaleit M. Ann Rheum Dis 2009;68:777–83.

Table.

Prevalence of SpA by calendar year and data source

Medicare (5% random sample)MarketScanCalendar yrTotal number of eligible ptsPrevalence/10,000 ptsTotal number of eligible ptsPrevalence/10,000 ptsDefinition 1Definition 2Definition 1Definition 22006501,0314.397.6217,562,6371.332.172007816,9705.258.7219,518,0661.472.372008825,4454.898.7828,603,5251.582.532009830,9675.229.2131,757,0691.903.092010844,5285.499.9031,126,1721.963.172011879,9966.3010.7138,295,1211.943.112012921,9946.1710.8840,320,4371.913.0420131,032,8276.7410.8233,826,0412.003.1920141,046,1076.5210.8534,553,1352.213.51

Medicare data included a 5% random sample of all enrolled pts age ≥20 yrs. pts: patients; SpA: ankylosing spondylitis and other inflammatory spondylopathies; yr: year.

Acknowledgments:

This study was funded by UCB Pharma. Editorial services were provided by Costello Medical.

Disclosure of Interests:

Jeffrey Curtis Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Corona, Crescendo, Genentech, Janssen, Pfizer, Roche and UCB Pharma, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Corona, Crescendo, Genentech, Janssen, Pfizer, Roche and UCB Pharma, Kevin Winthrop Grant/research support from: Bristol-Myers Squibb, Consultant of: AbbVie, Bristol-Myers Squibb, Eli Lilly, Galapagos, Gilead, GSK, Pfizer Inc, Roche, UCB, Benjamin Chan: None declared, Sarah Siegel: None declared, Jeffrey Stark Employee of: UCB Pharma, Robert Suruki Employee of: UCB Pharma, Rhonda Bohn Consultant of: UCB Pharma, Fenglong Xie: None declared, Huifeng Yun Grant/research support from: Bristol-Myers Squibb and Pfizer, Lang Chen: None declared, Atul Deodhar Grant/research support from: AbbVie, Eli Lilly, GSK, Novartis, Pfizer, UCB, Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myer Squibb (BMS), Eli Lilly, GSK, Janssen, Novartis, Pfizer, UCB, Speakers bureau: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myer Squibb (BMS), Eli Lilly, GSK, Janssen, Novartis, Pfizer, UCB

SAT0370 TUMOUR NECROSIS FACTOR INHIBITOR THERAPY DOES NOT REDUCE THE INCIDENCE OF COMORBIDITIES AND EXTRA-ARTICULAR MANIFESTATIONS IN ANKYLOSING SPONDYLITIS: AN ANALYSIS OF THREE US CLAIMS DATABASES

Background:

Comorbidities and extra-articular manifestations (EAMs) substantially increase disease burden and mortality risk in patients (pts) with ankylosing spondylitis (AS).1,2Tumour necrosis factor inhibitors (TNFi) are highly efficacious and effective in AS treatment (tx), and are used after inadequate response to non-steroidal anti-inflammatory drugs.3,4However, the impact of TNFi on the incidence of comorbidities and EAMs in pts with AS is unknown.5

Objectives:

To determine the incidence of comorbidities and EAMs in TNFi vs non-TNFi treated pts with AS in the US.

Methods:

This was a retrospective, observational cohort study using data from 3 healthcare insurance claims databases: Multi-Payer Claims Database (MPCD Optum Insight; 2007–2010), Truven MarketScan®(2010–2014) and US Medicare Fee-for-Service Claims database (2006–2014). Eligible pts: ≥20 years (yrs) for MarketScan/MPCD or ≥65 yrs for Medicare, had an AS diagnosis (≥2 International Classification of Disease, 9thversion [ICD-9] diagnosis codes of 720.0 from a rheumatologist) and ≥12 months’ continuous medical and pharmacy enrolment prior to AS diagnosis (AS index date). Pts with AS not receiving tx were excluded. Tx exposure was reported from the first date of a new prescription/administration of an AS tx (no prior exposure) after the AS index date. Crude incidence rates (IR; shown as cases/100 pt-yrs) were calculated for EAMs (uveitis, psoriasis [PSO], psoriatic arthritis [PsA], inflammatory bowel disease [IBD]), with follow-up until the earliest of: death, lost medical/pharmacy coverage, study period end, first outcome occurrence, tx switch/discontinuation. Hazard ratios (HRs) of comorbidities (hospitalised infection, solid cancers) and EAMs for propensity score (PS)-matched pt groups were calculated using Cox proportional hazard regression models. Pts with the specific comorbidity/EAM of interest prior to AS index date were excluded. PS analyses assessed probability of TNFi initiation vs non-TNFi tx and adjusted for factors including comorbidities and demographics. HRs with confidence intervals crossing 1 are not reported.

Results:

20,460 pts with AS were eligible (MPCD: 2,384; MarketScan: 9,032; Medicare: 9,044). In all databases, crude IR of EAMs were higher for TNFi vs non-TNFi treated pts (Figure 1). In the PS-matched cohort, incidences of hospitalised infections were lower in TNFi vs non-TNFi treated pts from the MarketScan and Medicare databases (Figure 2). Higher incidences of solid cancers and EAMs were observed in TNFi vs non-TNFi treated pts; Medicare data (Figure 2). A higher risk of PsA and PSO was seen in TNFi vs non-TNFi treated pts; MarketScan data (Figure 2). PS-matched cohort data from the MPCD database were non-significant.

Conclusion:

Despite strong efficacy in treating AS-related signs and symptoms, similar incidence of comorbidities and increased incidence of some EAMs (IBD, PSO/PsA, uveitis) was seen in TNFi vs non-TNFi treated pts in the PS-matched analyses. This may be due to channelling of pts with more severe AS to receive TNFi, despite the PS-matched analysis aiming to overcome this. Moreover, prior medical history of Medicare pts may not be captured in the database, as pts are typically older with longer disease durations. While these results confirm previous findings,6a prospective observational study is required to generalise to pts outside the US.

References:

[1]Stolwijk C. Ann Rheum Dis 2015;74:1373–8;

[2]Bremander A. Arthritis Care Res 2011;63:550–6;

[3]Braun J. Scand J Rheumatol 2005;34:178–90;

[4]Ji X. Front Pharmacol 2019;10:1476;

[5]Maxwell LJ. Cochrane Database Syst Rev 2015:CD005468;

[6]Walsh J. J Pharm Health Serv Res 2018;9:115–21.

Acknowledgments:

This study was funded by UCB Pharma. Editorial services were provided by Costello Medical.

Disclosure of Interests:

Atul Deodhar Grant/research support from: AbbVie, Eli Lilly, GSK, Novartis, Pfizer, UCB, Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myer Squibb (BMS), Eli Lilly, GSK, Janssen, Novartis, Pfizer, UCB, Speakers bureau: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myer Squibb (BMS), Eli Lilly, GSK, Janssen, Novartis, Pfizer, UCB, Kevin Winthrop Grant/research support from: Bristol-Myers Squibb, Consultant of: AbbVie, Bristol-Myers Squibb, Eli Lilly, Galapagos, Gilead, GSK, Pfizer Inc, Roche, UCB, Rhonda Bohn Consultant of: UCB Pharma, Benjamin Chan: None declared, Robert Suruki Employee of: UCB Pharma, Jeffrey Stark Employee of: UCB Pharma, Huifeng Yun Grant/research support from: Bristol-Myers Squibb and Pfizer, Sarah Siegel: None declared, Lang Chen: None declared, Jeffrey Curtis Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Corona, Crescendo, Genentech, Janssen, Pfizer, Roche and UCB Pharma, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Corona, Crescendo, Genentech, Janssen, Pfizer, Roche and UCB Pharma

Screening of Hyperlipidemia Among Patients With Rheumatoid Arthritis in the United States

OBJECTIVE

To determine the proportion of primary lipid screening among patients with rheumatoid arthritis (RA) and compare it with those among patients with diabetes mellitus (DM) and patients with neither RA nor DM, and to assess whether primary lipid screening varied according to the health care provider (rheumatologist versus non-rheumatologist).

METHODS

We analyzed claims data from US private and public health plans from 2006-2010. Eligibility requirements included continuous medical and pharmacy coverage for ≥12 months (baseline period) and >2 physician diagnoses and relevant medications to define RA, DM, RA and DM, or neither condition. Among the 330,695 eligible participants, we calculated the proportion with a lipid profile ordered during the 2 years following baseline. Time-varying Cox proportional hazard models were used to determine the probability of hyperlipidemia screening in participants with RA according to provider specialty.

RESULTS

More than half of the patients were ages 41-71 years. Among patients with RA (n = 12,182), DM (n = 62,834), RA and DM (n = 1,082), and those who did not have either condition (n = 167,811), the proportion screened for hyperlipidemia was 37%, 60%, 55%, and 41%, respectively. Patients with RA who visited a rheumatologist and a non-rheumatology clinician during follow-up had a 55% (95% confidence interval 1.36-1.78) higher screening probability than those who only visited a rheumatologist.

CONCLUSION

Primary lipid screening was suboptimal among patients with RA. It was also lower for patients with DM and minimally different from the general population. Screening was higher for RA patients who received care from both a rheumatologist and a non-rheumatologist (e.g., primary care physician).

An Integrated Analysis of the Safety of Tofacitinib in Psoriatic Arthritis across Phase III and Long-Term Extension Studies with Comparison to Real-World Observational Data

INTRODUCTION

Tofacitinib is an oral Janus kinase inhibitor for the treatment of psoriatic arthritis (PsA).

OBJECTIVE

Our objective was to compare the incidence rates (IRs) of adverse events in tofacitinib clinical trials and real-world observational data for alternative treatments.

METHODS

The tofacitinib "dose-comparison cohort" included months 0-12 of two phase III studies (tofacitinib 5 [n = 238] and 10 [n = 236] mg twice daily [BID]); the "all-tofacitinib comparison cohort" (n = 783) included two phase III and one ongoing long-term extension study (data cutoff May 2016). An "observational comparison cohort" (n = 5799) comprised patients initiating a conventional synthetic disease-modifying antirheumatic drug (DMARD), biologic DMARD, or apremilast in the US Truven MarketScan database from 2010 to 2015. IRs for serious infections (SIEs; requiring hospitalization), herpes zoster (HZ), malignancies (excluding non-melanoma skin cancer [NMSC]), NMSC, and major adverse cardiovascular events (MACE) across cohorts were qualitatively compared.

RESULTS

IRs (patients with events/100 patient-years) for SIEs were similar between the tofacitinib dose-comparison cohort (5 mg BID: 1.3; 10 mg BID: 2.0) and the observational comparison cohort (1.1-7.9; treatment dependent). The tofacitinib dose-comparison cohort had a higher rate of HZ (5 mg BID: 2.0; 10 mg BID: 2.7) than did the observational comparison cohort (0.8-2.0). IRs for NMSC were generally lower in the all-tofacitinib comparison cohort (0.5) than in the observational comparison cohort (0.4-6.0). IRs for MACE, malignancies excluding NMSC, and NMSC were similar between cohorts.

CONCLUSION

In patients with PsA, tofacitinib had a safety profile similar to that of other systemic therapies in real-world settings, except for the risk of HZ, a known risk of tofacitinib.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT01877668; NCT01882439; NCT01976364.

Human Papillomavirus Vaccination Schedule: Adherence Among Commercially Insured Adolescents and Young Adults in the United States, 2011–2017

Objectives. To determine rates of human papillomavirus (HPV) vaccine adherence to the 2011 and 2016 Advisory Committee for Immunization Practices (ACIP) recommendations in the United States.

Methods. We conducted a retrospective cohort study by using the 2011 to 2017 Marketscan data for beneficiaries aged 9 to 26 years who had at least 1 claim for HPV vaccination between January 1, 2011, and January 1, 2017. According to the 2011 ACIP recommendation, adherence is defined as 30 to 90 days between the first and second vaccination and 168 to 212 days between the first and third vaccination. According to the 2016 recommendation, preadolescents are classified as adherent if they had 2 claims of vaccination within 168 to 212 days. We calculated proportions of completion and adherence by recommendation.

Results. Among patients classified under the 2011 ACIP recommendation (n = 2 164 096), 8.3% completed all 3 doses of the vaccine series. Of those who completed, 69.6% were considered adherent to the recommended schedule. Completion and adherence increased to 9.6% and 70.8%, respectively, among patients who were classified under the 2016 ACIP recommendation.

Conclusions. Simpler recommendations lead to better adherence to the HPV vaccination schedule.

Temporal Trends and Factors Associated with Bisphosphonate Discontinuation and Restart

Adverse events related to long-term use of bisphosphonates have raised interest in temporary drug discontinuation. Trends in bisphosphonate discontinuation and restart, as well factors associated with these decisions, are not fully understood at a population level. We investigated temporal trends of bisphosphonate discontinuation from 2010 to 2015 and identified factors associated with discontinuation and restart of osteoporosis therapy. Our cohort consisted of long-term bisphosphonate users identified from 2010 to 2015 Medicare data. We defined discontinuation as ≥12 months without bisphosphonate prescription claims. We used conditional logistic regression to compare factors associated with alendronate discontinuation or osteoporosis therapy restart in the 120-day period preceding discontinuation or restart referent to the 120-day preceding control periods. Among 73,800 long-term bisphosphonate users, 59,251 (80.3%) used alendronate, 6806 (9.2%) risedronate, and 7743 (10.5%) zoledronic acid, exclusively. Overall, 26,281 (35.6%) discontinued bisphosphonates for at least 12 months. Discontinuation of bisphosphonates increased from 1.7% in 2010, reaching a peak of 14% in 2012 with levels plateauing through 2015. The factors most strongly associated with discontinuation of alendronate were: benzodiazepine prescription (adjusted odds ratio [aOR] = 2.5; 95% confidence interval [CI] 2.1, 3.0), having a dual-energy X-ray absorptiometry (DXA) scan (aOR = 1.8; 95% CI 1.7, 2.0), and skilled nursing facility care utilization (aOR = 1.8; 95% CI 1.6, 2.1). The factors most strongly associated with restart of osteoporosis therapy were: having a DXA scan (aOR = 9.9; 95% CI 7.7, 12.6), sustaining a fragility fracture (aOR = 2.8; 95% CI 1.8, 4.5), and an osteoporosis or osteopenia diagnosis (aOR = 2.5; 95% CI 2.0, 3.1). Our national evaluation of bisphosphonate discontinuation showed that an increasing proportion of patients on long-term bisphosphonate therapy discontinue medications. The factors associated with discontinuation of alendronate were primarily related to worsening of overall health status, whereas traditional factors associated with worsening bone health were associated with restarting osteoporosis medication. © 2019 American Society for Bone and Mineral Research.

Do Patients With Moderate or High Disease Activity Escalate Rheumatoid Arthritis Therapy According to Treat-to-Target Principles? Results From the Rheumatology Informatics System for Effectiveness Registry of the American College of Rheumatology

OBJECTIVE

Despite strong recommendations for routine measurement of rheumatoid arthritis (RA) disease activity and associated treatment changes to attain remission/low disease activity, the measurement tools that clinicians use to evaluate RA patients' disease activity and frequency of treatment change have not been well characterized. Therefore, we evaluated different measurement tools that physicians used to assess RA disease activity and associated RA treatment changes.

METHODS

Using data from the Rheumatology Informatics System for Effectiveness (RISE) registry from January 2016 through June 2017, and using the following criteria: age ≥18 years, diagnosis of RA (International Classification of Diseases, Ninth and Tenth Revision, codes), ≥2 RISE visits, and ≥1 RA disease activity measure scored in 2016, we classified eligible patients' drug use at the index visit as monotherapy or combination therapy with conventional synthetic (cs) and biologic disease-modifying antirheumatic drugs (bDMARDs). Outcomes include change in treatment over 12 months. Mixed models identified factors associated with treatment change.

RESULTS

Among 50,996 eligible patients, 27,274 had longitudinal data. The most commonly used measures were RAPID3 (78.9%) and the Clinical Disease Activity Index (CDAI) (34.2%). The frequency of treatment change during follow-up was relatively low (35.6-54.6%), even for patients with moderate/high disease activity according to RAPID3 or CDAI scores. Older patients (age ≥75 years; adjusted odds ratio [OR_adj ] 0.63 [95% confidence interval (95% CI) 0.50-0.78]) and those already receiving combination therapy with csDMARDs (OR_adj 0.45 [95% CI 0.33-0.61]) or combination therapy with bDMARDs (OR_adj 0.30 [95% CI 0.24-0.38]) were less likely to change RA treatment even after multivariable adjustment.

CONCLUSION

Using the American College of Rheumatology's national RISE registry, one- to two-thirds of RA patients failed to change their treatment, even when experiencing moderate/high disease activity. Multimodal interventions directed at both patients and providers are needed to encourage shared decision-making, goal-directed care, and to overcome barriers to treatment escalation.

Capture of biologic and biosimilar dispensings in a consortium of U.S.-based claims databases: Utilization of national drug codes and Healthcare Common Procedure Coding System modifiers in medical claims

PURPOSE

To assess the capture of biologics (originator and biosimilar) in the Biologics and Biosimilars Collective Intelligence Consortium (BBCIC) Distributed Research Network (DRN), with a focus on medical claim National Drug Code (NDC), a new data field, and Healthcare Common Procedure Coding System (HCPCS) modifier.

METHODS

We conducted a repeated cross-sectional study among patients with medical and pharmacy benefits enrolled in insurance plans participating in the BBCIC DRN between 1 January 2013 and 30 September 2017. We calculated the proportion of medical claims with ≥1 NDC and identified select biologics using four different approaches: (a) specific HCPCS alone, (b) specific HCPCS and NDC, (c) non-specific HCPCS with NDC, and (d) HCPCS with modifiers (applicable to biosimilars). Numbers of dispensings were calculated for each biologic by approach and select patient and claim characteristics.

RESULTS

More than 1.5 million eligible participants contributed approximately 4 million person-years of data, including 1.2 billion medical claims. The proportion of medical claims with ≥1 NDC increased from 1.2% in 2013 to 3.0% in 2017. Medical claim NDCs identified 39% and 28% of vedolizumab dispensed in 2014 and 2015 and 30% of Epogen/Procrit dispensed overall. Out of 26,381 filgrastim biosimilar dispensings identified, 51% had a HCPCS modifier and 12% had a medical claim NDC for Zarxio. HCPCS modifiers and medical claim NDCs were present for 38% and 3% of all infliximab biosimilars dispensed (total n = 1,244).

CONCLUSIONS

Medical claim NDC and HCPCS modifier improves identification of select biologics without product-specific HCPCS code, thereby facilitating product-specific biologic research.

Perspectives of Rheumatoid Arthritis Patients on Electronic Communication and Patient-Reported Outcome Data Collection: A Qualitative Study

OBJECTIVE

To identify the perspectives of patients with rheumatoid arthritis (RA) on electronic recording of between-visit disease activity and other patient-reported outcomes (PROs) and on sharing this information with health care providers or peers.

METHODS

Patients with RA were recruited to participate in focus groups from December 2014 to April 2015. The topic guide and analysis were based on the Andersen-Newman framework. Sessions were audiorecorded, transcribed, independently coded, and analyzed for themes.

RESULTS

Thirty-one patients participated in 7 focus groups. Their mean ± SD age was 51 ± 13.1 years, 94% were women, 52% were African American, 11% were Hispanic, and 37% were white. Three themes emerged: provider communication, information-seeking about RA, and social and peer support. Participants expressed a willingness to track disease activity data to share with health care providers electronically if providers would act on the information. Participants envisioned symptom tracking and information sharing as a mechanism to relay and obtain reliable information about RA. Participants were also interested in electronic communication between visits if it facilitated learning about symptom management and enhanced opportunities for social support among patients with RA.

CONCLUSION

Patients with RA may be amenable to electronic collection and sharing of PRO-type data between clinical encounters if it facilitates communication with health care providers and provides access to reliable information about RA. Providing patients with social support was important for enhancing PROs collection by helping them overcome barriers by using electronic devices and overcome reservations about the value of these data.

Which patient reported outcome domains are important to the rheumatologists while assessing patients with rheumatoid arthritis?

BACKGROUND

Patient-reported outcomes (PROs) aid in rheumatoid arthritis (RA) management, but it is not well understood which measures would be most relevant to the rheumatologists for making treatment decisions.

METHODS

We recruited rheumatologists nationally to participate in moderated structured group teleconference discussions using the nominal group technique. Participants in each group generated lists of the elements from patient's history and signs that they use to make treatment recommendations for RA. Each participant then selected the three most important elements from the generated list. The results of each group were then combined and summarized.

RESULTS

Twenty-five rheumatologists participated in 4 groups (group size ranged from 4 to 8) and 150 available ranking votes across all groups. The statements generated across the 4 groups were categorized into 13 topics (including symptoms, physical function, comorbidities, social aspects, physical findings, response to treatment, treatment adherence, pain management, side effects, tests, access to care, contraception, and organ involvement), 10 of which received ranking votes. Symptoms received the highest ranking (46% of votes), followed by physical function (16%), and physical findings (13%). Among the unranked topics, social aspects had the highest number of statements (8 statements).

CONCLUSION

Rheumatologists highly valued patient-reported RA symptoms and physical function to inform their treatment decisions, even above objective data such as physical findings and test results. These results can guide the selection of validated PRO measures to assess these domains to inform the clinical care of patients with rheumatoid arthritis.

Is Rheumatoid Arthritis a Cardiovascular Risk-Equivalent to Diabetes Mellitus?

OBJECTIVE

The 2013 American College of Cardiology/American Heart Association cholesterol treatment guidelines recommend statins for patients with diabetes mellitus ages 40-75 years due to their elevated cardiovascular disease (CVD) risk. We compared the incidence of hospitalized acute myocardial infarction (MI), stroke, and coronary revascularization according to whether patients had diabetes mellitus, rheumatoid arthritis (RA), both, or neither.

METHODS

Using 2006-2010 private and public health plan claims, we identified 4 mutually exclusive retrospective cohorts ages >40 years: patients with RA and diabetes mellitus, RA only, diabetes mellitus only, or neither condition. Patients with prevalent CVD were excluded. Outcomes included acute MI and stroke, identified from inpatient discharge diagnosis codes, and coronary revascularization from procedure codes. Across the 4 cohorts, we calculated incidence rates (IRs) of the outcomes, standardized to the 2010 US census age and sex distribution.

RESULTS

We identified 920,772 eligible participants. The age- and sex-standardized IRs (per 1,000 person-years) for MI were highest among patients with RA and diabetes mellitus (IR 12.6 [95% confidence interval (95% CI) 10.7-14.7]), followed by patients with diabetes mellitus only (IR 10.7 [95% CI 10.3-11.0]), RA only (IR 5.7 [95% CI 5.2-6.3]), and with neither condition (IR 4.2 [95% CI 4.1-4.3]).

CONCLUSION

Findings from the present study suggest that while CVD risk in RA is elevated, it is lower in magnitude compared to the CVD risk associated with diabetes mellitus. Therefore, considering RA a diabetes mellitus risk-equivalent with respect to hyperlipidemia management may not be appropriate.

Improved Quality of Life With Anti-TNF Therapy Compared With Continued Corticosteroid Utilization in Crohn's Disease

BACKGROUND

Corticosteroids (CS) and anti-TNF drugs are used to treat Crohn's disease (CD). In this study, we assessed the net health benefit of initiating anti-TNF therapy relative to additional CS use in CD using a novel combination of a retrospective cohort study and a simulation model.

METHODS

Using Medicaid data from 2001 to 2005 and Medicare data from 2006 to 2013, beneficiaries were identified with CD and CS use who subsequently received either an anti-TNF or reached a cumulative dose of >3000 mg CS during the year. By using overall and latent class-specific remission-time equivalent (RTE) estimates derived from discrete-choice experiments, mean 12-month cumulative RTEs were calculated after propensity score adjustment for baseline characteristics. A Markov model was constructed using transition probabilities derived from the retrospective cohort to perform additional sensitivity analyses of RTE estimates, analytic assumptions, and transition probabilities. Cumulative RTEs were calculated via Monte Carlo simulation in this model.

RESULTS

In the retrospective cohort, 1563 new anti-TNF initiators and 1563 propensity score-matched prolonged CS users were identified. Anti-TNF use was associated with greater mean RTEs at the end of 1 year (5.34 vs 4.54, incremental benefit: 0.79; 95% CI, 0.53-1.07). This benefit persisted in all latent classes. In the Markov model, anti-TNF therapy was the preferred strategy, and the results were robust in multiple sensitivity analysis and latent class analysis.

CONCLUSIONS

In both a retrospective cohort study and a simulation model, anti-TNF use was associated with improved quality of life, measured as RTEs, when compared with continued CS utilization for CD.

Use of Medicare Claims Data for the Identification of Myocardial Infarction: The Reasons for Geographic And Racial Differences in Stroke Study

OBJECTIVES

Assess the validity of Medicare claims for identifying myocardial infarction (MI).

METHODS

We used data from 9951 Medicare beneficiaries 65 years and above in the Reasons for Geographic And Racial Differences in Stroke study. Between 2003 and 2012, 669 participants had an MI identified and adjudicated through study procedures (ie, the gold standard), and 552 had an overnight inpatient claim with a code for MI (ICD-9 code 410.x0 or 410.x1) in any discharge diagnosis position.

RESULTS

Using Medicare claims with a discharge diagnosis code for MI in any position, the positive predictive value (PPV) was 84.3% [95% confidence interval (CI), 80.9%-87.3%] and the sensitivity was 49.0% (95% CI, 44.9%-53.1%). Sensitivity was lower for men (45.8%) versus women (55.1%), microsize MIs (13.7%) versus other MIs (64.7%), type 2 (30.9%), and 4-5 MIs (11.1%) versus type 1 MIs (76.6%), and MIs occurring in-hospital (28.8%) versus out-of-hospital (66.7%). Using Medicare claims with a code for MI in the primary discharge diagnosis position, the PPV was 89.7% (95% CI, 86.3%-92.5%) and sensitivity was 40.1% (95% CI, 36.1%-44.2%). The sensitivity of claims with a code for MI in the primary discharge diagnosis position was lower for microsize versus other MIs, type 2 and 4-5 MIs versus type 1 MIs and MIs occurring in-hospital versus out-of-hospital. Hazard ratios for MI associated with participant characteristics were similar using adjudicated MIs identified through study procedures or claims for MI without further adjudication.

CONCLUSIONS

Medicare claims have a high PPV but low sensitivity for identifying MI and can be used to investigate individual-level characteristics associated with MI.