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.

Identification of Multimorbidity Patterns in Rheumatoid Arthritis Through Machine Learning.

OBJECTIVE: Recognizing that the interrelationships between chronic conditions that complicate rheumatoid arthritis (RA) are poorly understood, we aimed to identify patterns of multimorbidity and to define their prevalence in RA through machine learning. METHODS: We constructed RA and age- and sex-matched (1:1) non-RA cohorts within a large commercial insurance database (MarketScan) and the Veterans Health Administration (VHA). Chronic conditions (n = 44) were identified from diagnosis codes from outpatient and inpatient encounters. Exploratory factor analysis was performed separately in both databases, stratified by RA diagnosis and sex, to identify multimorbidity patterns. The association of RA with different multimorbidity patterns was determined using conditional logistic regression. RESULTS: We studied 226,850 patients in MarketScan (76% female) and 120,780 patients in the VHA (89% male). The primary multimorbidity patterns identified were characterized by the presence of cardiopulmonary, cardiometabolic, and mental health and chronic pain disorders. Multimorbidity patterns were similar between RA and non-RA patients, female and male patients, and patients in MarketScan and the VHA. RA patients had higher odds of each multimorbidity pattern (odds ratios [ORs] 1.17-2.96), with mental health and chronic pain disorders being the multimorbidity pattern most strongly associated with RA (ORs 2.07-2.96). CONCLUSION: Cardiopulmonary, cardiometabolic, and mental health and chronic pain disorders represent predominant multimorbidity patterns, each of which is overrepresented in RA. The identification of multimorbidity patterns occurring more frequently in RA is an important first step in progressing toward a holistic approach to RA management and warrants assessment of their clinical and predictive utility.

A Targeted Literature Review Examining Biologic Therapy Compliance and Persistence in Chronic Inflammatory Diseases to Identify the Associated Unmet Needs, Driving Factors, and Consequences.

Chronic inflammatory diseases (CIDs) represent a substantial clinical and economic burden to patients, providers, payers and society overall. Biologics, such as tumor necrosis factor inhibitors (TNFi), have emerged as effective treatment options for patients with CIDs. However, the therapeutic potential of biologics is not always achieved in clinical practice, with results from studies examining the use of biologics in real-world settings suggesting lower levels of treatment effectiveness compared with clinical trial results. Using a targeted approach, this literature review demonstrates that compliance and persistence with biologic therapy is suboptimal and that this has implications for both clinical outcomes and treatment costs. The review identified a variety of predictors of treatment compliance and persistence, including increased age, female gender, presence of comorbidities, increased disease activity, longer disease duration, smoking, increased body mass index, higher biologic treatment dose, higher treatment cost and lower health-related quality-of-life scores. Patients often cited factors associated with medication delivery as a reason for non-compliance and non-persistence, and device-related improvements to treatment delivery were associated with higher rates of compliance and persistence. The articles identified in this review provide insights that have the potential to help guide the development of new solutions to improve disease management and optimize treatment regimens. This has the potential to benefit patients' health by improving clinical outcomes and to reduce the burden to society by limiting the economic impact of patients' disease. FUNDING: UCB Pharma.

Evaluation of a Multimodal, Direct-to-Patient Educational Intervention Targeting Barriers to Osteoporosis Care: A Randomized Clinical Trial.

Osteoporosis treatment rates are declining, even among those with past fractures. Novel, low-cost approaches are needed to improve osteoporosis care. We conducted a parallel group, controlled, randomized clinical trial evaluating a behavioral intervention for improving osteoporosis medication use. A total of 2684 women with self-reported fracture history after age 45 years not using osteoporosis therapy from US Global Longitudinal Study of Osteoporosis in Women (GLOW) sites were randomized 1:1 to receive a multimodal, tailored, direct-to-patient, video intervention versus usual care. The primary study outcome was self-report of osteoporosis medication use at 6 months. Other outcomes included calcium and vitamin D supplementation, bone mineral density (BMD) testing, readiness for behavioral change, and barriers to treatment. In intent-to-treat analyses, there were no significant differences between groups (intervention versus control) in osteoporosis medication use (11.7% versus 11.4%, p = 0.8), calcium supplementation (31.8% versus 32.6%, p = 0.7), vitamin D intake (41.3% versus 41.9%, p = 0.8), or BMD testing (61.8% versus 57.1%, p = 0.2). In the intervention group, fewer women were in the precontemplative stage of behavior change, more women reported seeing their primary care provider, had concerns regarding osteonecrosis of the jaw, and difficulty in taking/remembering to take osteoporosis medications. We found differences in BMD testing among the subgroup of women with no prior osteoporosis treatment, those who provided contact information, and those with no past BMD testing. In per protocol analyses, women with appreciable exposure to the online intervention (n = 257) were more likely to start nonbisphosphonates (odds ratio [OR] = 2.70; 95% confidence interval [CI] 1.26-5.79) compared with the usual care group. Although our intervention did not increase the use of osteoporosis therapy at 6 months, it increased nonbisphosphonate medication use and BMD testing in select subgroups, shifted participants' readiness for behavior change, and altered perceptions of barriers to osteoporosis treatment. Achieving changes in osteoporosis care using patient activation approaches alone is challenging. © 2018 American Society for Bone and Mineral Research.

What Proportion of Incident Radiographic Vertebral Fractures in Older Men Is Clinically Diagnosed and Vice Versa: A Prospective Study.

To determine the proportion of incident radiographic vertebral fractures (vfx) also diagnosed as incident clinical vfx in older men and vice-versa, we used data from 4398 community-dwelling men age ≥65 years enrolled in the Osteoporotic Fractures in Men (MrOS) study. Incident radiographic vfx were identified by comparing baseline and follow-up lateral thoracic and lumbar spine study films (average 4.6 years between films) using a semiquantitative (SQ) method and defined as a change in SQ reading of ≥1 at a given vertebral level from baseline to follow-up study radiograph. Participants were contacted triannually to ascertain incident clinical vfx; community spinal imaging studies were obtained and clinical vfx were confirmed when the study radiologist determined that the community imaging study showed a new deformity of higher grade than was present in the same vertebra on the baseline study radiograph. A total of 237 incident radiographic vfx were identified in 197 men, whereas 31 men experienced 37 confirmed incident clinical vfx. Of incident radiographic vfx, 13.5% were also clinically diagnosed as incident fractures, with clinical diagnoses made for 16.3% of the radiographic vfx with SQ grade change ≥2. Of incident clinical vfx, 86.5% were identified as incident radiographic vfx, most of them with SQ grade change ≥2. In summary, less than 15% of incident radiographic vfx were also clinically diagnosed, whereas the majority of incident clinical vfx were identified as severe radiographic vfx. These results in men supplement those previously published for women and suggest a complex relationship between clinical and radiographic vfx in older adults. Published 2016.(†) American Society for Bone and Mineral Research.

Modifiable factors associated with allopurinol adherence and outcomes among patients with gout in an integrated healthcare system.

OBJECTIVE: To identify modifiable patient and provider factors associated with allopurinol adherence and the achievement of a serum urate acid (SUA) goal in gout. METHODS: We identified a retrospective cohort of patients with gout, newly treated with allopurinol. All patient data came from administrative datasets at a large integrated health delivery system. Patients were ≥ 18 years old at time of initial allopurinol dispensing, and had 12 months or more of membership and drug eligibility prior to the index date. Allopurinol adherence was defined as a proportion of days covered ≥ 0.80, evaluated during the first 12 months of observation after the initial dispensing. Multivariable logistic regression was used to examine factors associated with allopurinol nonadherence and attaining an SUA concentration < 6.0 mg/dl. RESULTS: We identified 13,341 patients with gout with incident allopurinol use (mean age 60 yrs, 78% men). Of these, 9581 patients (72%) had SUA measured both at baseline and during followup. Only 3078 patients (32%) attained an SUA target of < 6.0 mg/dl during followup. Potentially modifiable factors associated with treatment adherence and obtaining the SUA goal in the multivariable analysis included concomitant diuretic use, prescriber specialty, and allopurinol dosing practices. Adherent patients were 2.5-fold more likely than nonadherent patients to achieve an SUA < 6.0 mg/dl during observation. CONCLUSION: Among patients with gout initiating allopurinol in our study, 68% did not reach the SUA goal and 57% of patients were nonadherent. Modifiable factors, including allopurinol dose escalation, treatment adherence, rheumatology referral, and concomitant medication use, could be important factors to consider in efforts aimed at optimizing gout treatment outcomes.

Non-viral opportunistic infections in new users of tumour necrosis factor inhibitor therapy: results of the SAfety Assessment of Biologic ThERapy (SABER) study.

OBJECTIVES: To determine among patients with autoimmune diseases in the USA whether the risk of non-viral opportunistic infections (OI) was increased among new users of tumour necrosis factor α inhibitors (TNFI), when compared to users of non-biological agents used for active disease. METHODS: We identified new users of TNFI among cohorts of rheumatoid arthritis (RA), inflammatory bowel disease and psoriasis-psoriatic arthritis-ankylosing spondylitis patients during 1998-2007 using combined data from Kaiser Permanente Northern California, two pharmaceutical assistance programmes for the elderly, Tennessee Medicaid and US Medicaid/Medicare programmes. We compared incidence of non-viral OI among new TNFI users and patients initiating non-biological disease-modifying antirheumatic drugs (DMARD) overall and within each disease cohort. Cox regression models were used to compare propensity-score and steroid- adjusted OI incidence between new TNFI and non-biological DMARD users. RESULTS: Within a cohort of 33 324 new TNFI users we identified 80 non-viral OI, the most common of which was pneumocystosis (n=16). In the combined cohort, crude rates of non-viral OI among new users of TNFI compared to those initiating non-biological DMARD was 2.7 versus 1.7 per 1000-person-years (aHR 1.6, 95% CI 1.0 to 2.6). Baseline corticosteroid use was associated with non-viral OI (aHR 2.5, 95% CI 1.5 to 4.0). In the RA cohort, rates of non-viral OI among new users of infliximab were higher when compared to patients newly starting non-biological DMARD (aHR 2.6, 95% CI 1.2 to 5.6) or new etanercept users (aHR 2.9, 95% CI 1.5 to 5.4). CONCLUSIONS: In the USA, the rate of non-viral OI was higher among new users of TNFI with autoimmune diseases compared to non-biological DMARD users.

Validity of diagnostic codes and prevalence of psoriasis and psoriatic arthritis in a managed care population, 1996-2009.

BACKGROUND: Few population-based studies have reported the prevalence of psoriatic disease. OBJECTIVE: We validated computerized diagnoses to estimate the prevalence of psoriasis and psoriatic arthritis. METHOD: We identified adults with ≥1 ICD-9 diagnosis codes of 696.0 (psoriatic arthritis) or 696.1 (psoriasis) in clinical encounter data during 1996-2009 and used chart review to confirm the diagnoses in random samples of patients. We then used the best performing case-finding algorithms to estimate the point prevalence of psoriasis and psoriatic arthritis. RESULTS: The number of persons with a diagnosis for psoriasis (ICD-9 code 696.1) was 87 827. Chart review of a random sample of 101 cases with at least one dermatologist-rendered psoriasis code revealed a positive predictive value (PPV) of 90% (95% CI, 83-95) with sensitivity of 88% (95% CI, 80-93). Psoriatic arthritis (code 696.0) was recorded for 5187 patients, with the best performing algorithm requiring ≥2 diagnoses recorded by a rheumatologist or ≥1 diagnosis recorded by a rheumatologist together with ≥1 psoriasis diagnoses recorded by a dermatologist; the PPV was 80% (95% CI, 70-88) with sensitivity 73% (95% CI, 63-82). Among KPNC adults, the point prevalence of psoriasis, with or without psoriatic arthritis, was 939 (95% CI, 765-1142) per 100 000, and the overall prevalence of psoriatic arthritis, with or without psoriasis, was 68 (95% CI, 54-84) per 100 000. CONCLUSION: Within an integrated health care delivery system, the use of computerized diagnoses rendered by relevant disease specialists is a valid method for identifying individuals with psoriatic disease.

Tumor necrosis factor α inhibitor therapy and cancer risk in chronic immune-mediated diseases.

OBJECTIVE: To compare the incidence of cancer following tumor necrosis factor α (TNFα) inhibitor therapy to that with commonly used alternative therapies across multiple immune-mediated diseases. METHODS: The Safety Assessment of Biological Therapeutics study used data from 4 sources: national Medicaid and Medicare databases, Tennessee Medicaid, pharmacy benefits plans for Medicare beneficiaries in New Jersey and Pennsylvania, and Kaiser Permanente Northern California. Propensity score-adjusted hazard ratios (HRs) and 95% confidence intervals (95% CIs) were computed to estimate the relative rates of cancer, comparing those treated with TNFα inhibitors to those treated with alternative disease-modifying therapies. The cancer-finding algorithm had a positive predictive value ranging from 31% for any leukemia to 89% for female breast cancer. RESULTS: We included 29,555 patients with rheumatoid arthritis (RA) (13,102 person-years), 6,357 patients with inflammatory bowel disease (1,508 person-years), 1,298 patients with psoriasis (371 person-years), and 2,498 patients with psoriatic arthritis (618 person-years). The incidence of any solid cancer was not elevated in RA (HR 0.80 [95% CI 0.59-1.08]), inflammatory bowel disease (HR 1.42 [95% CI 0.47-4.26]), psoriasis (HR 0.58 [95% CI 0.10-3.31]), or psoriatic arthritis (HR 0.74 [95% CI 0.20-2.76]) during TNFα inhibitor therapy compared to disease-specific alternative therapy. Among RA patients, the incidence of any of the 10 most common cancers in the US and of nonmelanoma skin cancer was not increased with TNFα inhibitor therapy compared to treatment with comparator drugs. CONCLUSION: Short-term cancer risk was not elevated among patients treated with TNFα inhibitor therapy relative to commonly used therapies for immune- mediated chronic inflammatory diseases in this study.

Management of osteoporosis among the elderly with other chronic medical conditions.

Osteoporosis is a highly prevalent chronic disease in the US and worldwide. The most serious consequence of this disorder is fractures, which have a serious negative impact on quality of life and are often the trigger for accelerated deterioration, ultimately ending in death. Despite the availability of effective preventive treatments, osteoporosis is frequently underdiagnosed and/or undertreated, particularly among the elderly, who are also at greatest risk. In addition, the presence of co-morbid medical conditions may be both a barrier to osteoporosis care and a risk factor for falls; thus individuals with multiple co-morbid conditions may be a particularly high-risk group. The management of osteoporosis involves improving bone health via adequate nutrition, calcium and vitamin D supplements, and fall prevention strategies. Although these measures are important in the management of all patients, most elderly patients are likely to need additional pharmacological therapy to adequately reduce their fracture risk. Several pharmacological treatments have been shown to significantly reduce the risk of fracture, including bisphosphonates (e.g. alendronate, risedronate, ibandronate, zoledronic acid), denosumab, raloxifene, calcitonin and teriparatide. Despite recent advances in osteoporosis care, additional action is urgently needed to improve the quality of life of osteoporotic patients in general and of elderly patients in particular, since fracture outcomes are typically poorer in older than in younger patients. This article reviews the current status of osteoporosis management, emphasizing the need to improve osteoporosis care, with a particular focus on the US, by the use of quality-improvement measures and incentives, which might result in an increased awareness and improved treatment for this debilitating disease.