Association of sinusitis and upper respiratory tract diseases with incident rheumatoid arthritis: A case-control study

OBJECTIVE

We aimed to determine whether specific respiratory tract diseases are associated with increased rheumatoid arthritis (RA) risk.

METHODS

This case-control study within the Mass General Brigham Biobank matched newly diagnosed RA cases to three controls on age, sex, and electronic health record history. We identified RA using a validated algorithm and confirmed by medical record review. Respiratory tract disease exposure required one inpatient or two outpatient codes at least two years before index date of RA clinical diagnosis or matched date. Logistic regression models calculated odds ratios (OR) for RA with 95% confidence intervals (CI), adjusting for confounders. We then stratified by serostatus ("seropositive" was positive rheumatoid factor and/or anti-citrullinated protein antibodies) and smoking.

RESULTS

We identified 741 RA cases and 2,223 controls (both median age 55, 76% female). Acute sinusitis (OR 1.61, 95% CI:1.05,2.45), chronic sinusitis (OR 2.16, 95% CI:1.39,3.35), and asthma (OR 1.39, 95% CI:1.03,1.87) were associated with increased risk of RA. Acute respiratory tract disease burden during the pre-index exposure period was also associated with increased RA risk (OR 1.30 per 10 codes, 95% CI:1.08,1.55). Acute pharyngitis was associated with seronegative (OR 1.68, 95% CI:1.02,2.74) but not seropositive RA; chronic rhinitis/pharyngitis was associated with seropositive (OR 2.46, 95% CI:1.01,5.99) but not seronegative RA. Respiratory tract diseases tended towards higher associations in smokers, especially >10 packyears (OR 1.52, 95% CI:1.02,2.27; p=0.10 for interaction).

CONCLUSION

Acute/chronic sinusitis and pharyngitis and acute respiratory burden increased RA risk. The mucosal paradigm of RA pathogenesis may involve the upper respiratory tract.

Living With Survival Analysis in Orthopedics

Time to event data occur commonly in orthopedics research and require special methods that are often called "survival analysis." These data are complex because both a follow-up time and an event indicator are needed to correctly describe the occurrence of the outcome of interest. Common pitfalls in analyzing time to event data include using methods designed for binary outcomes, failing to check proportional hazards, ignoring competing risks, and introducing immortal time bias by using future information. This article describes the concepts involved in time to event analyses as well as how to avoid common statistical pitfalls. Please visit the followinghttps://youtu.be/QNETrx8B6IUandhttps://youtu.be/8SBoTr9Jy1Qfor videos that explain the highlights of the paper in practical terms.

Competing Risk Analysis: What Does It Mean and When Do We Need It in Orthopedics Research?

Most orthopedic studies involve survival analysis examining the time to an event of interest, such as a specific complication or revision surgery. Competing risks commonly arise in such studies when patients are at risk of more than one mutually exclusive event, such as death, or when the rate of an event depends on the rates of other competing events. In this article, we briefly describe the survival analysis censoring methodology, common fatal and nonfatal competing events, and define circumstances where standard survival analysis can fail in the setting of competing risks with real-world examples from orthopedics. Please visit the followinghttps://youtu.be/ifj_Mm3eGu8for a video that explains the highlights of the paper in practical terms.

Immortal Time Bias in the Analysis of Time-to-Event Data in Orthopedics

Many outcomes in arthroplasty research are analyzed as time-to-event outcomes using survival analysis methods. When comparison groups are defined after a time-delayed exposure or intervention, a period of immortal time arises and can lead to biased results. In orthopedics research, immortal time bias often arises when a minimum amount of follow-up is required for study inclusion or when comparing outcomes in staged bilateral vs unilateral arthroplasty patients. We present an explanation of immortal time and the associated bias, describe how to correctly account for it using proper data preparation and statistical techniques, and provide an illustrative example using real-world arthroplasty data. We offer practical guidelines for identifying and properly handling immortal time to avoid bias. Please visit the followinghttps://youtu.be/58p8w5o-ci4for a video that explains the highlights of the paper in practical terms.

Incidence, survival, and diagnostic trends in GCA across seven decades in a North American population-based cohort

OBJECTIVES

To analyze trends in the incidence and use of diagnostic modalities for GCA in a population-based cohort over the past seven decades. To explore survival trends in patients with GCA compared with the general population.

METHODS

A population-based cohort of patients diagnosed with GCA was extended with new incident cases from 2010 to 2019. Three time periods were compared: Period One (1950-1979), Period Two (1980-1999), and Period Three (2000-2019). Cases were classified as: Diagnostic Group One, temporal artery biopsy (TAB) positive; Diagnostic Group Two, TAB-negative or not done with positive large-vessel imaging; or Diagnostic Group Three, clinical diagnosis of GCA. Survival was evaluated by comparing Kaplan-Meier estimated mortality rates for cases of GCA against expected mortality rates from Minnesota life tables RESULTS: Age- and sex-adjusted incident rates per 100,000 ≥ 50 years of age (95% CI) were 13.5 (10.1, 16.9) in Period One, 21.0 (17.1, 25.0) in Period Two, and 15.0 (12.4, 17.5) in Period Three. The percent of patients in Diagnostic Group One decreased over the three time periods (89%, 86%, and 72%) while the patients in Diagnostic Group Three increased (11%, 14%, and 17%). Standardized mortality ratios (95% CI) were 1.03 (0.79, 1.32), 1.11 (0.91, 1.34), and 0.82 (0.64, 1.04) across Periods 1-3, respectively.

CONCLUSIONS

Incidence of GCA in females in the population declined, resulting in a decreasing overall incidence. More patients have been identified by large-vessel imaging and fewer by positive TABs. No significant difference in survival between patients with GCA and the general population was observed.

Risk of rheumatoid arthritis diagnosis in statin users in a large nationwide US study

Objective

To evaluate the association between statin use and the risk of developing rheumatoid arthritis (RA) in a large, US case-control study.

Methods

Using the OptumLabs Data Warehouse, RA cases were identified as patients aged ≥18 years with ≥2 RA diagnoses between January 1, 2010 and June 30, 2019 and ≥1 prescription fills for methotrexate within 1 year of the first RA diagnosis. The first RA diagnosis was the index date. Cases were matched 1:1 to controls on age, sex, region, year of index date, and length of baseline coverage. Statin users were defined by having ≥2 statin prescription fills at least 90 days pre-index. Patients identified as statin users were further classified by statin user status (current or former), statin use duration, and intensity of statin exposure. Odds ratios for RA risk with statin use were estimated using logistic regression.

Results

16,363 RA cases and 16,363 matched controls were identified. Among RA cases, 5509 (33.7%) patients were statin users compared to 5164 (31.6%) of the controls. Statin users had a slightly increased risk of RA compared to non-users (OR 1.12, 95% CI 1.06–1.18), and former statin users had an increased RA risk compared to current users (OR 1.21, 95% CI 1.13–1.28). However, risk was eliminated following adjustment for hyperlipidemia. The risk estimates for statin use duration and intensity did not reach significance.

Conclusion

This study demonstrates no significant increase in the risk of developing RA for statin users compared to non-users after adjustment for hyperlipidemia in addition to other relevant confounders. However, more information from prospective studies would be necessary to further understand this relationship.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13075-021-02617-5.

Importance of Shared Treatment Goal Discussions in Rheumatoid Arthritis-A Cross-Sectional Survey: Patients Report Providers Seldom Discuss Treatment Goals and Outcomes Improve When Goals Are Discussed

Objective

Treat‐to‐target (T2T) and shared decision‐making are valued features of current guidelines for rheumatoid arthritis (RA) management. Although T2T has demonstrated value for improving RA outcomes, implementation remains inconsistent and lacks standardization and procedures for including patient input. We sought to better understand the impact of shared decisions on T2T and how treatment goal discussions between patients and providers impact RA treatment improvement and satisfaction.

Methods

An anonymous, web‐based questionnaire was presented to United States residents aged 18 years or older with a self‐reported diagnosis of RA by a medical professional with 28 questions regarding socio‐demographics, RA disease activity (DA), diagnosis, treatments, outcomes, and goals. Analyses included descriptive statistics with χ² and rank sum tests for comparisons.

Results

The questionnaire was completed by 907 people (mean age of 58 years; mean 11 years since diagnosis; 90% female). The majority (571; 63%) did not discuss RA treatment goals with providers. Patients engaging in treatment goal discussions with their providers were three times more likely to be satisfied with their treatment plans. Patients discussing treatment goals with their providers were more likely to have improved DA levels and 68% more likely to reach remission.

Conclusion

A majority of patients with RA report having no treatment goal discussion with their providers; however, these discussions are associated with greater DA improvement and treatment satisfaction. Further research should seek understanding of how shared treatment goal discussions relate to successful RA management and explore the development of practical tools to implement them in regular clinic practice as part of a T2T regimen.

Dr. Berti et al reply

We read with interest the comment of Dr. Kawada¹ on our article that showed an inverse association between current smoking status and primary (p-) Sjögren syndrome (SS), and no association between obesity and pSS.².

Incidence, sociodemographic factors and treatment penetration of rheumatoid arthritis and psoriatic arthritis in Norway

OBJECTIVES

To evaluate nationwide incidence, sociodemographic associations and treatment penetration of rheumatoid arthritis (RA) and psoriatic arthritis (PsA) in Norway.

METHODS

The study combined data from nationwide registries on the total Norwegian adult population (age ≥ 18). From the Norwegian Patient Registry, incident RA and PsA cases during 2011-2015 were identified with records of first and second healthcare episodes listing RA/PsA diagnostic codes, and ≥ 1 episode in an internal medicine or rheumatology unit with RA/PsA code during the two-year period after the first episode. Dispensed DMARD prescriptions were obtained from the Norwegian Prescription Database. Persons with dispensed DMARD prescriptions or biologic DMARDs given in hospitals > 12 months before the index date were excluded.

RESULTS

Incidence of RA/PsA in Norway was 42/26 per 100,000 person-years (55/28 among women and 28/23 among men). RA peak incidence was observed at ages 70-79 in both sexes, whereas the peak incidence of PsA occurred at ages 50-59. Age- and sex-standardized incidences of RA and PsA were lower among persons with higher education levels. Within a year from the index date, 82.4/57.4% of RA/PsA patients used synthetic DMARDs while 9.4/9.5% used biologic DMARDs.

CONCLUSIONS

Register-based incidence estimates for RA and PsA in Norway are similar to other Nordic countries, but slightly higher than in previous Norwegian studies. Furthermore, we found that higher socioeconomic status was associated with lower incidence of both RA and PsA. Although conventional synthetic DMARDs were less often used in early PsA than RA, frequency of biologic DMARD prescriptions was comparable.

Where There's Smoke, There's a Joint: Passive Smoking and Rheumatoid Arthritis

Among the established risk factors associated with developing rheumatoid arthritis (RA), smoking remains one of the leading environmental exposures associated with disease onset. One meta-analysis of ten studies found that the risk of developing RA increased by 26% among those who smoked 1-10 pack-years, and nearly doubled among those with more than 20 pack-years, compared to never smokers[1]. Studies that closely examine smoking and development of RA continue to be important, as it is a modifiable risk factor that can significantly reduce the burden of disease in the population.

Trends in incidence of dementia among patients with rheumatoid arthritis: A population-based cohort study

OBJECTIVE

We aimed to assess the incidence of dementia over time in patients with incident rheumatoid arthritis (RA) as compared to non-RA referents.

METHODS

This population-based, retrospective cohort study included Olmsted County, Minnesota residents with incident RA by ACR 1987 criteria, diagnosed between 1980 and 2009. We matched non-RA referents 1:1 on age, sex, and calendar year and followed all individuals until 12/31/2019. Incident dementia was defined as two codes for Alzheimer's disease and related dementias (ADRD) at least 30 days apart. Cumulative incidence of ADRD was assessed, adjusting for the competing risk of death. Cox proportional hazards models calculated hazard ratios (HR) with 95% confidence intervals (CI) for incident ADRD by decade.

RESULTS

After excluding individuals with prior dementia, we included 897 persons with incident RA (mean age 56 years; 69% female) and 885 referents. The 10-year cumulative incidence of ADRD in individuals diagnosed with RA during the 1980s was 12.7% (95%CI:7.9-15.7%), 1990s was 7.2% (95%CI:3.7-9.4%), and 2000s was 6.2% (95%CI:3.6-7.8%). Individuals with RA diagnosed in 2000s had insignificantly lower cumulative incidence of ADRD than those in the 1980s (HR 0.66; 95%CI:0.38-1.16). The overall HR of ADRD in individuals with RA was 1.37 (vs. referents; 95%CI:1.04-1.81). When subdivided by decade, however, the risk of ADRD in individuals diagnosed with RA was higher than referents in the 1990s (HR 1.72, 95%CI:1.09-2.70) but not 2000s (HR 0.86, 95%CI:0.51-1.45).

CONCLUSIONS

The risk of dementia in individuals with RA appears to be declining over time, including when compared to general population referents.

Incidence, prevalence and mortality of chronic periaortitis: a population-based study

OBJECTIVES

To evaluate the epidemiology, presentation and outcomes of patients with chronic periaortitis from 1998 through 2018.

METHODS

An inception cohort of patients with incident chronic periaortitis from January 1, 1998 through December 31, 2018, in Olmsted County, Minnesota was identified based on comprehensive individual medical record review utilising the Rochester Epidemiology Project medical record linkage system. Inclusion required radiographic and/or histologic confirmation of periarterial soft tissue thickening around at least part of the infra-renal abdominal aorta or the common iliac arteries. Data were collected on demographic characteristics, clinical presentation, renal and radiographic outcomes, and mortality. Incidence rates were age and sex adjusted to the 2010 United States white population.

RESULTS

Eleven incident cases of chronic periaortitis were identified during the study period. Average age at diagnosis was 61.8±13.4 years. The cohort included 9 men (82%) and 2 women (18%). Age- and sex-adjusted incidence rates per 100,000 population were 0.26 for females, 1.56 for males and 0.87 overall. Overall prevalence on January 1, 2015 was 8.98 per 100,000 population. Median (IQR) length of follow-up was 10.1 (2.5, 13.8) years. Overall mortality was similar to the expected age, sex, and calendar estimates of the Minnesota population with standardised mortality ratio (95% CI) for the entire cohort 2.07 (0.67, 4.84).

CONCLUSIONS

This study reports the first epidemiologic data on chronic periaortitis in the United States. In this cohort of patients with chronic periaortitis, men were 4 times more commonly affected than women. Mortality was not increased compared to the general population.

Outpatient healthcare utilization among incident cases of systemic sclerosis: results from a population-based US cohort (1988-2016)

OBJECTIVE

Systemic sclerosis (SSc) is a complex, heterogeneous connective tissue disease with multiorgan dysfunction. This study aimed to compare healthcare utilization among incident cases of SSc versus age- and gender-matched comparators.

METHOD

A population-based cohort of physician-diagnosed patients with SSc in Olmsted County, MN, USA, from 1 January 1988 to 31 December 2016 was assembled. A 2:1 cohort of age- and gender-matched non-SSc subjects was randomly selected for comparison. Patients were followed until death, migration from Olmsted County, or 31 December 2017. Outpatient utilization data were obtained beginning 12 months before the SSc incidence/index date and compared using negative binomial and multinomial models. Services were summarized as visit-days to avoid overestimation of services provided.

RESULTS

The study included 69 incident SSc cases and 138 non-SSc comparators (mean ± sd age 57 ± 16 years at diagnosis/index, 90% female). Patients with SSc had higher utilization of outpatient physician, laboratory, and combined radiology visit-days annually for the year before and for each of the first 5 years after diagnosis than comparators. Among patients with SSc, healthcare utilization was highest during the year of SSc diagnosis. Rate ratios comparing utilization in patients with and without SSc ranged from 1.8 to 3.0 for all comparisons.

CONCLUSION

Higher utilization of outpatient physician, laboratory, and radiology visit-days was observed among patients with SSc compared to non-SSc subjects throughout 5 years of disease duration, indicating high and continued care needs in this patient population. The highest utilization of services among SSc patients occurred during the year of SSc diagnosis.

Industry Payments to Practicing US Rheumatologists, 2014-2019

BACKGROUND

Payments from the pharmaceutical industry to practicing physicians may influence prescribing behavior. The objective of this study was to investigate the nature, quantity, and geographical distribution of payments to US rheumatologists.

METHODS

General payments from industry sponsors to US rheumatologists from 2014-2019 were extracted from the Centers for Medicare & Medicaid Services (CMS) Open Payments database. Gender was identified by linking physicians to the National Plan and Provider Enumeration System (NPPES) registry. Data were reported in aggregate, trends over time were assessed using linear regression models, and differences by gender were analyzed using the Wilcoxon rank-sum test.

RESULTS

Over the six-year time period from 2014-2019, a total of $221,254,966 from 1,610,668 payments were made to 5,723 rheumatologists. The median payment was $15 (interquartile range (IQR) $10 - $22) and the median amount of payments received by individual rheumatologists was $2,818 (IQR $464 to $11,560). The majority of rheumatologists (3,416/5,723, 59%) received under $5,000, but 368/5,723 (6%) received over $100,000 each and accounted for 78% of the total. The yearly value of payments increased over time ($3,703,264 per year, p < 0.001) and the median payment to male rheumatologists was significantly higher than the median payment to female rheumatologists ($3,732, IQR $542-$15,841 vs. $2,084, IQR $394-$8,186, p < 0.001).

CONCLUSIONS

The value of industry payments have increased over time and are concentrated among a small number of rheumatologists. Future studies should investigate the degree to which industry payments have influenced prescribing in the field of rheumatology.

Hospitalization Rates Are Highest in the First 5 Years of Systemic Sclerosis: Results From a Population-based Cohort (1980-2016)

OBJECTIVE

Few studies have estimated the healthcare resource usage of patients with systemic sclerosis (SSc). The purpose of this study was to compare hospitalization among incident cases of SSc vs age- and sex-matched comparators.

METHODS

A retrospective, population-based cohort of patients with SSc in Olmsted County, Minnesota, from January 1, 1980, to December 31, 2016, was assembled. A 2:1 cohort of age- and sex-matched patients without SSc from the same population was randomly selected for comparison. All hospitalizations in the geographic area from January 1, 1987, to September 30, 2018, were obtained. Rates of hospitalization, lengths of stay, and readmissions were compared between groups.

RESULTS

There were 76 incident SSc cases and 155 non-SSc comparators (mean age 56 ± 16 yrs at diagnosis/index, 91% female) included. Rates of hospitalization among cases and comparators were 31.9 and 17.9 per 100 person-years, respectively (rate ratio [RR] 1.78, 95% CI 1.52-2.08). Hospitalization rates were higher in patients with SSc than comparators during the first 5 years after SSc diagnosis (RR 2.16, 95% CI 1.70-2.74). This difference decreased over time and was no longer significant at ≥ 15 years after SSc incidence/index. Lengths of stay (median [IQR] 4 [2-6] vs 3 [2-6], P = 0.52) and readmission rates (25% vs 23%, P = 0.51) were similar between groups.

CONCLUSION

Patients with SSc were hospitalized more frequently than comparators, indicating high inpatient care needs in this population. Hospitalization rates were highest during the first 5 years following SSc diagnosis.

Exploring the Role of Antinuclear Antibody Positivity in the Diagnosis, Treatment, and Health Outcomes of Patients With Rheumatoid Arthritis

OBJECTIVE

The objective of this study was to describe differences in the clinical course of patients with rheumatoid arthritis (RA) who are antinuclear antibody (ANA)-positive compared with those who are ANA-negative.

METHODS

This was a retrospective population-based cohort study of residents in Olmsted County, Minnesota, who first fulfilled 1987 American College of Rheumatology criteria for RA in 2009-2014. Data were collected on first documentation of joint swelling. Data on rheumatoid factor or anti-cyclic citrullinated peptide antibody testing and the ANA level were also collected. Comparisons between groups were performed by using χ² and rank sum tests.

RESULTS

In this cohort, 64% of patients were tested for ANA within ±90 days of RA criteria fulfillment. In the161 patients with ANA testing, 25% were ANA-positive. Patients who were ANA-positive were younger, female, and less likely to be current smokers. ANA positivity did not differ between patients with RA who were seropositive and seronegative. In seropositive patients who were ANA-positive, there was an increased time to fulfillment of RA criteria, increased time to treatment with disease-modifying antirheumatic drugs (DMARDs), and increased likelihood of being treated with hydroxychloroquine as opposed to methotrexate. Other outcomes, including disease activity and mortality, did not differ significantly between groups.

CONCLUSION

In patients with RA, important differences exist between those who are ANA-positive and ANA-negative in terms of time to fulfillment of RA criteria and time to DMARD initiation as well as choice of initial pharmacotherapy. These findings could indicate a difference in clinical presentation or perception of patients with RA who are ANA-positive. Further research is needed to study the long-term outcomes of patients with RA who are ANA-positive.

The Epidemiology of Psoriatic Arthritis Over Five Decades: A Population-Based Study

OBJECTIVE

To determine the incidence of psoriatic arthritis (PsA) in a US population and describe trends in incidence and mortality over 5 decades.

METHODS

The previously identified population-based cohort that included Olmsted County, Minnesota residents ≥18 years of age who fulfilled PsA criteria during 1970-1999 was extended to include patients with incident PsA during 2000-2017. Age- and sex-specific incidence rates and point prevalence, adjusted to the 2010 US White population, were reported.

RESULTS

There were 164 incident cases of PsA in 2000-2017 (mean ± SD age 46.4 ± 12.0 years; 47% female). The overall age- and sex-adjusted annual incidence of PsA per 100,000 population was 8.5 (95% confidence interval [95% CI] 7.2-9.8) and was higher in men (9.3 [95% CI 7.4-11.3]) than women (7.7 [95% CI 5.9-9.4]) in 2000-2017. Overall incidence was highest in the 40-59 years age group. The incidence rate was relatively stable during 2000-2017, with no evidence of an overall increase or an increase in men only (but a modest increase of 3% per year in women), compared to 1970-1999 when a 4%-per-year increase in incidence was observed. Point prevalence was 181.8 per 100,000 population (95% CI 156.5-207.1) in 2015. The percentage of women among those with PsA increased from 39% in 1970-1999 and 41% in 2000-2009 to 54% in 2010-2017 (P = 0.08). Overall survival in PsA did not differ from the general population (standardized mortality ratio 0.85 [95% CI 0.61-1.15]).

CONCLUSION

The incidence of PsA in this predominantly White US population was stable in 2000-2017, in contrast to previous years. However, an increasing proportion of women with PsA was found in this study.

Investigating the impact of disease and health record duration on the eMERGE algorithm for rheumatoid arthritis

OBJECTIVE

The study sought to determine the dependence of the Electronic Medical Records and Genomics (eMERGE) rheumatoid arthritis (RA) algorithm on both RA and electronic health record (EHR) duration.

MATERIALS AND METHODS

Using a population-based cohort from the Mayo Clinic Biobank, we identified 497 patients with at least 1 RA diagnosis code. RA case status was manually determined using validated criteria for RA. RA duration was defined as time from first RA code to the index date of biobank enrollment. To simulate EHR duration, various years of EHR lookback were applied, starting at the index date and going backward. Model performance was determined by sensitivity, specificity, positive predictive value, negative predictive value, and area under the curve (AUC).

RESULTS

The eMERGE algorithm performed well in this cohort, with overall sensitivity 53%, specificity 99%, positive predictive value 97%, negative predictive value 74%, and AUC 76%. Among patients with RA duration <2 years, sensitivity and AUC were only 9% and 54%, respectively, but increased to 71% and 85% among patients with RA duration >10 years. Longer EHR lookback also improved model performance up to a threshold of 10 years, in which sensitivity reached 52% and AUC 75%. However, optimal EHR lookback varied by RA duration; an EHR lookback of 3 years was best able to identify recently diagnosed RA cases.

CONCLUSIONS

eMERGE algorithm performance improves with longer RA duration as well as EHR duration up to 10 years, though shorter EHR lookback can improve identification of recently diagnosed RA cases.

Multimorbidity Burden in Rheumatoid Arthritis: A Population-based Cohort Study

OBJECTIVE

To estimate the prevalence and incidence of multimorbidity (MM) in a population-based cohort of patients with rheumatoid arthritis (RA) compared to subjects without RA.

METHODS

Between 1999-2013, residents of Olmsted County, Minnesota with incident RA who met the 1987 American College of Rheumatology criteria were compared to age- and sex-matched non-RA subjects from the same population. Twenty-five chronic comorbidities from a combination of the Charlson, Elixhauser, and Rheumatic Disease Comorbidity Indices were included, excluding rheumatic comorbidities. The Aalen-Johansen method was used to estimate the cumulative incidence of MM (MM2+; ≥ 2 chronic comorbidities) or substantial MM (MM5+; ≥ 5), adjusting for the competing risk of death.

RESULTS

The study included 597 patients with RA and 594 non-RA subjects (70% female, 90% White, mean age 55.5 yrs). At incidence/index date, the prevalence of MM2+ was higher in RA than non-RA subjects (38% RA vs 32% non-RA, P = 0.02), whereas prevalence of MM5+ was similar (5% RA vs. 4% non-RA, P = 0.68). During follow-up (median 11.6 yrs RA, 11.3 yrs non-RA), more patients with RA developed MM2+ (214 RA vs 188 non-RA; adjusted HR 1.39, 95% CI 1.14-1.69). By 10 years after RA incidence/index, the cumulative incidence of MM2+ was 56.5% among the patients with RA (95% CI 56.5-62.3%) compared with 47.9% among the non-RA (95% CI 42.8-53.7%). Patients with RA showed no evidence of increase in incidence of MM5+ (adjusted HR 1.17, 95% CI 0.93-1.47).

CONCLUSION

Patients with RA have both a higher prevalence of MM at the time of RA incidence as well as increased incidence thereafter.

Lack of Association of Spontaneous Coronary Artery Dissection With Autoimmune Disease

BACKGROUND

Case reports and referral-based studies suggest spontaneous coronary artery dissection (SCAD) is associated with autoimmune diseases and causes 2% to 4% of acute coronary syndromes.

OBJECTIVES

This study determined the association of SCAD with autoimmune diseases, together with incidence and recurrence, in a population-based study.

METHODS

This case-control study took place from 1995 to 2018 within the Rochester Epidemiology Project. The study identified cases with SCAD from diagnosis codes and verified them using coronary angiography images, matching each case to 3 control subjects on age, sex, county, and years of medical history. Autoimmune disease history came from a validated, code-based definition. A multivariable logistic regression model calculated the odds ratio (OR) for SCAD among patients with a history of autoimmune disease, adjusting for race and body mass index.

RESULTS

The study identified 114 cases with SCAD (mean age 51 years and 90% women) and 342 matched control subjects. Autoimmune disease occurred in 13 (11%) cases with SCAD and 40 (12%) control subjects (p = 0.93). Even after adjustment, autoimmune diseases were not associated with SCAD (OR: 0.81; 95% confidence interval [CI]: 0.40 to 1.66). SCAD incidence between 2010 and 2018 (2.7 per 100,000; 95% CI: 1.7 to 3.7) was 10-fold higher than the incidence between 1995 and 2009 (0.3 per 100,000; 95% CI: 0.0 to 0.6). SCAD recurrence was 10% (95% CI: 3% to 16%) at 5 years.

CONCLUSIONS

These findings suggested SCAD pathogenesis is noninflammatory and screening for autoimmune diseases based on SCAD alone is not warranted. The code-based incidence of SCAD has increased over time, highlighting the importance of considering SCAD among patients with acute coronary syndromes.

Diagnostic Delay in Psoriatic Arthritis: A Population-based Study

OBJECTIVE

To examine demographic and clinical characteristics associated with diagnostic delay in psoriatic arthritis (PsA).

METHODS

We characterized a retrospective, population-based cohort of incident adult (≥ 18 yrs) patients with PsA from Olmsted County, Minnesota, from 2000-2017. All patients met the classification criteria. Diagnostic delay was defined as the time from any patient-reported PsA-related joint symptom to a physician diagnosis of PsA. Factors associated with delay in PsA diagnosis were identified through logistic regression models.

RESULTS

Of the 164 incident PsA cases from 2000 to 2017, 162 had a physician or rheumatologist diagnosis. Mean (SD) age was 41.5 (12.6) years and 46% were female. Median time from symptom onset to physician diagnosis was 2.5 years (IQR 0.5-7.3). By 6 months, 38 (23%) received a diagnosis of PsA, 56 (35%) by 1 year, and 73 (45%) by 2 years after symptom onset. No significant trend in diagnostic delay was observed over calendar time. Earlier age at onset of PsA symptoms, higher BMI, and enthesitis were associated with a diagnostic delay of > 2 years, whereas sebopsoriasis was associated with a lower likelihood of delay.

CONCLUSION

In our study, more than half of PsA patients had a diagnostic delay of > 2 years, and no significant improvement in time to diagnosis was noted between 2000 and 2017. Patients with younger age at PsA symptom onset, higher BMI, or enthesitis before diagnosis were more likely to have a diagnostic delay of > 2 years, whereas patients with sebopsoriasis were less likely to have a diagnostic delay.

Improved Incidence of Cardiovascular Disease in Patients With Incident Rheumatoid Arthritis in the 2000s: A Population-based Cohort Study

OBJECTIVE

To assess trends in incidence of cardiovascular disease (CVD) and mortality following incident CVD events in patients with rheumatoid arthritis (RA) onset in 1980-2009 vs non-RA subjects.

METHODS

We studied Olmsted County, Minnesota residents with incident RA (aged > 18 yrs, 1987 American College of Rheumatology criteria met in 1980-2009) and non-RA subjects from the same source population with similar age, sex, and calendar year of index. All subjects were followed until death, migration, or December 31, 2016. Incident CVD events included myocardial infarction and stroke. Patients with CVD before RA incidence/index date were excluded. Cox models were used to compare incident CVD events by decade, adjusting for age, sex, and CVD risk factors.

RESULTS

The study included 905 patients with RA and 904 non-RA subjects. Cumulative incidence of any CVD event was lower in patients with incident RA in the 2000s vs the 1980s. The HR for any incident CVD in the 2000s vs 1980s was 0.53 (95% CI 0.31-0.93). The strength of association attenuated after adjustment for anti-rheumatic medication use (HR 0.64, 95% CI 0.34-1.22). Patients with RA in the 2000s had no excess in CVD over non-RA subjects (HR 0.71, 95% CI 0.42-1.19). Risk of death after a CVD event was somewhat lower in patients with RA after the 1980s with an HR of 0.54 (95% CI 0.33-0.90) in the 1990s vs 1980s and 0.68 (95% CI 0.33-1.41) in the 2000s vs 1980s.

CONCLUSION

The incidence of major CVD events in RA has declined in recent decades. The gap in CVD occurrence between patients with RA and the general population is closing. Mortality after CVD events in RA may be improving.

Family History of Rheumatic, Autoimmune, and Nonautoimmune Diseases and Risk of Rheumatoid Arthritis

OBJECTIVE

Since comorbidities such as autoimmune diseases may be associated with rheumatoid arthritis (RA) risk, we hypothesized that a family history of these other conditions might also predict RA. Therefore, we aimed to determine the association between family history of 79 comorbidities and RA.

METHODS

This case-control study identified 821 cases of RA in the Mayo Clinic Biobank (positive predictive value 95%) and matched 3 controls to each case based on age, sex, recruitment year, and location. Patients self reported family history and characteristics (adjusted). Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs) for RA risk according to the presence of family history for each comorbidity, adjusted for body mass index, race, and smoking.

RESULTS

Family history of several conditions was associated with developing RA, including rheumatic autoimmune diseases (ORadj 1.89 [95% CI 1.41-2.52]), pulmonary fibrosis (ORadj 2.12 [95% CI 1.16-3.80]), inflammatory bowel disease (ORadj 1.45 [95% CI 1.05-1.98]), hyper/hypothyroidism (ORadj 1.34 [95% CI 1.10-1.63]), and obstructive sleep apnea (ORadj 1.28 [95% CI 1.05-1.55]). Parkinson's disease and type 2 diabetes mellitus were associated with a statistically decreased risk of RA that did not reach the prespecified significance threshold of P < 0.01 (ORadj 0.70 [95% CI 0.49-0.98] and ORadj 0.81 [95% CI 0.67-0.97], respectively). Analyses among 143 cases of incident RA were similar and also suggested an association with a family history of autism (OR 10.5 [95% CI 2.51-71.3]).

CONCLUSION

Family history of several autoimmune and nonautoimmune comorbidities was associated with increased risk of RA, providing an opportunity to identify novel populations at risk for RA.