scholarly journals AB0541 IMPROVED SURVIVAL IN PATIENTS WITH GIANT CELL ARTERITIS: A POPULATION-BASED COHORT STUDY

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1567.1-1567
Author(s):  
T. Garvey ◽  
C. S. Crowson ◽  
M. Koster ◽  
E. Matteson ◽  
K. J. Warrington
Keyword(s):  
General Population ◽  
Giant Cell Arteritis ◽  
Giant Cell ◽  
Survival Rates ◽  
Mortality Rates ◽  
Population Based ◽  
Hazard Ratio ◽  
Olmsted County ◽  
Research Support ◽  
Specific Mortality

Background:In previous studies patients with giant cell arteritis (GCA) have had survival rates that are similar to the general population.Objectives:To investigate survival trends and cause-specific mortality in patients diagnosed with GCA over a 60-year period.Methods:We assembled a population-based incidence cohort of patients with GCA diagnosed between 1950 and 2009. All patients were included if they met the American College of Rheumatology (ACR) 1990 Criteria for the Classification of GCA. Patients diagnosed between 2000 and 2009 could also be included if they met the following criteria: age greater than or equal to 50 years, elevated inflammatory markers, and radiographic evidence of large-vessel vasculitis attributed to GCA. A non-GCA comparison cohort was assembled from the same underlying population for each patient with GCA. Patients were followed until death, last contact, or December 31st, 2018. Survival trends were analyzed by grouping patients into the following categories according to year of GCA diagnosis: Group A 1950-1979; Group B 1980-1989; Group C 1990-1999; and Group D 2000-2009. Mortality rates were estimated using the Kaplan-Meier method and were compared with expected mortality rates for persons of the same age, sex, and calendar year, as estimated by regional population life tables. Cause-specific mortality was obtained from death certificates for patients in both cohorts. The causes were grouped according to ICD-9 chapters and hazard ratios were estimated against the non-GCA comparators.Results:The study population included 245 incident cases of GCA: 194 (79%) women and 51 (21%) men with mean age (±SD) of 76.2 (±8.3) years and median follow-up of 10.6 years. There was no overall difference in survival between the GCA cohort and the general population. The 2-, 5-, and 10-year survival rates (95% CI) were 89% (86, 93), 76% (70, 81), and 56% (50, 63) respectively with a standardized mortality ratio of 0.99 (0.86, 1.14). The standardized mortality ratios for Groups A, B, C, and D were 0.83 (0.57, 1.17), 0.92 (0.63, 1.3), 1.21 (0.85, 1.69), 0.70 (0.50, 0.95), respectively. The overall all-cause mortality adjusted for age, sex, and calendar-year was similar between the GCA patients and their comparators with a hazard ratio of 1.03 (0.84, 1.24). Mortality due to neoplasms was significantly lower in the GCA cohort with a hazard ratio of 0.53 (0.3, 0.92). Other cause-specific mortalities were not significantly different between the groups.Conclusion:In this population-based cohort of patients with GCA diagnosed over a 60-year period, the survival of patients diagnosed in recent years was significantly better than that of the general population. The explanation for this novel finding is unclear, but likely to be multifactorial. In this study the number of deaths due to neoplasm in the GCA group was significantly lower.References:[1]Chandran AK, et al. Incidence of Giant Cell Arteritis in Olmsted County, Minnesota, over a 60-year period 1950-2009. Scand J Rheumatol. 2015;44(3):215-218.[2]Mohammad A. et al. Rate of comorbidities in Giant Cell Arteritis: A Population-based Study. J Rheumatol. 2017;44(1):84-90.[3]Salvarani C. et al. Reappraisal of the epidemiology of giant cell arteritis in Olmsted County, Minnesota, over a fifty-year period. Arthritis Rheum. 2004;51(2):264-8.Acknowledgments:This study was made possible using the resources of the Rochester Epidemiology Project, which is supported by the National Institute on Aging of the National Institutes of Health (NIH) under Award Number R01 AG034676, and CTSA Grant Number UL1 TR000135 from the National Center for Advancing Translational Sciences (NCATS), a component of the NIH. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.Disclosure of Interests:Thomas Garvey: None declared, Cynthia S. Crowson Grant/research support from: Pfizer research grant, Matthew Koster: None declared, Eric Matteson Grant/research support from: Pfizer, Consultant of: Boehringer Ingelheim, Gilead, TympoBio, Arena Pharmaceuticals, Speakers bureau: Simply Speaking, Kenneth J Warrington: None declared

scholarly journals SAT0252 INCREASED MORTALITY FOR INDIVIDUALS WITH GIANT CELL ARTERITIS: A POPULATION-BASED STUDY

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1069.1-1069
Author(s):  
L. Barra ◽  
J. Pope ◽  
P. Pequeno ◽  
J. Gatley ◽  
J. Widdifield
Keyword(s):  
General Population ◽  
Giant Cell Arteritis ◽  
Giant Cell ◽  
Age Groups ◽  
Mortality Rates ◽  
Population Based ◽  
Population Based Study ◽  
Risk Of Mortality ◽  
Younger Age ◽  
Over Time

Background:Individuals with giant cell arteritis (GCA) are at increased risk of serious morbidity including cardiovascular disease and stroke. Yet the risk of mortality among individuals with GCA have produced conflicting reports1.Objectives:Our aim was to evaluate excess all-cause mortality among individuals with GCA relative to the general population over time.Methods:We performed a population-based study in Ontario, Canada, using health administrative data among all individuals 50 years and older. Individuals with GCA were identified using a validated case definition (81% PPV, 100% specificity). All Ontario residents aged 50 and above who do not have GCA served as the General Population comparators. Deaths occurring in each cohort each year were ascertained from vital statistics. Annual crude and age/sex standardized all-cause mortality rates were determined for individuals with and without GCA between 2000 and 2018. Standardized mortality ratios (SMRs) were calculated to measure relative excess mortality over time. Differences in mortality between sexes and ages were also evaluated.Results:Population denominators among individuals 50 years and older with GCA and the General Population increased over time with 12,792 GCA patients and 5,456,966 comparators by 2018. Annual standardized mortality rates among the comparators steadily declined over time and were significantly lower than GCA morality rates (Figure). Annual GCA mortality rates fluctuated between 42-61 deaths per 1000 population (with overlapping confidence intervals) during the same time period. SMRs for GCA ranged from 1.28 (95% CI 1.08,1.47) at the lowest in 2002 to 1.96 (95% CI 1.84, 2.07) at the highest in 2018. GCA mortality rates and SMRs were highest among males and younger age groups.Conclusion:Over a 19-year period, mortality has remained increased among GCA patients relative to the general population. GCA mortality rates were higher among males and more premature deaths were occurring at younger age groups. In our study, improvements to the relative excess mortality for GCA patients over time (mortality gap) did not occur. Understanding cause-specific mortality and other factors are necessary to inform contributors to premature mortality among GCA patients.References:[1]Hill CL, et al. Risk of mortality in patients with giant cell arteritis: a systematic review and meta-analysis. Semin Arthritis Rheum. 2017;46(4):513-9.Figure.Acknowledgments: :This study was supported by a CIORA grantDisclosure of Interests:Lillian Barra: None declared, Janet Pope Grant/research support from: AbbVie, Bristol-Myers Squibb, Eli Lilly & Company, Merck, Roche, Seattle Genetics, UCB, Consultant of: AbbVie, Actelion, Amgen, Bayer, Boehringer Ingelheim, Bristol-Myers Squibb, Eicos Sciences, Eli Lilly & Company, Emerald, Gilead Sciences, Inc., Janssen, Merck, Novartis, Pfizer, Roche, Sandoz, Sanofi, UCB, Speakers bureau: UCB, Priscila Pequeno: None declared, Jodi Gatley: None declared, Jessica Widdifield: None declared

scholarly journals Large-vessel involvement in giant cell arteritis: a population-based cohort study of the incidence-trends and prognosis

2012 ◽  
Vol 72 (12) ◽  
pp. 1989-1994 ◽  
Author(s):  
Tanaz A Kermani ◽  
Kenneth J Warrington ◽  
Cynthia S Crowson ◽  
Steven R Ytterberg ◽  
Gene G Hunder ◽  
...  
Keyword(s):  
Aortic Aneurysm ◽  
General Population ◽  
Giant Cell Arteritis ◽  
Giant Cell ◽  
Population Based ◽  
Artery Stenosis ◽  
Large Vessel ◽  
Large Artery ◽  
Incidence Trends ◽  
Aneurysm Dissection

ObjectivesTo evaluate incidence-trends and timing of large-vessel (LV) manifestations in patients with giant cell arteritis (GCA), and to examine the influence of LV manifestations on survival.MethodsA population-based incident cohort of patients diagnosed with GCA between 1950 and 2004 was used. LV involvement was defined as large-artery stenosis or aortic aneurysm/dissection that developed in the 1 year before GCA diagnosis or at any time thereafter. Patients were followed up until death or 31 December 2009.ResultsThe study included 204 patients, 80% women, mean age at diagnosis of GCA 76.0 years (±8.2 years). Median length of follow-up was 8.8 years. The cumulative incidence of any LV manifestation at 10 years was 24.9% for patients diagnosed with GCA between 1980 and 2004 compared with 8.3% for patients diagnosed with GCA between 1950 and 1979. The incidence of any LV event was high within the first year of GCA diagnosis. The incidence of aortic aneurysm/dissection increased 5 years after GCA diagnosis. Compared with the general population, survival was decreased in patients with an aortic aneurysm/dissection (standardized mortality ratio (SMR) 2.63; 95% CI 1.78 to 3.73) but not in patients with large-artery stenosis (SMR 1.44; 95% CI 0.87 to 2.25). Patients with GCA and aortic manifestations had a higher than expected number of deaths from cardiovascular and pulmonary causes than the general population. Among patients with GCA, aortic manifestations were associated with increased mortality (HR=3.4; 95% CI 2.2 to 5.4).ConclusionsVigilance and screening for aortic aneurysms should be considered in all patients 5 years after the incidence of GCA. Aortic aneurysm/dissection is associated with increased mortality in GCA.

scholarly journals POS0838 EPIDEMIOLOGY AND TRENDS IN SURVIVAL OF SYSTEMIC SCLEROSIS IN OLMSTED COUNTY: A POPULATION-BASED STUDY (1980-2018)

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 673.1-673
Author(s):  
C. Coffey ◽  
Y. Radwan ◽  
A. Sandhu ◽  
C. S. Crowson ◽  
P. Bauer ◽  
...  
Keyword(s):  
Systemic Sclerosis ◽  
General Population ◽  
Survival Rates ◽  
Population Based ◽  
Classification Criteria ◽  
Olmsted County ◽  
Digital Ischemia ◽  
Incident Cases ◽  
Over Time ◽  
Age And Sex

Background:Systemic sclerosis (SSc) is a complex immune-mediated disease with heterogeneous manifestations, which is characterized by vasculopathy and fibrosis of the skin and visceral organs. Mortality associated with SSc exceeds that of other rheumatic diseases, though population-based studies assessing recent trends in survival are lacking.Objectives:We aimed to determine the incidence and prevalence of physician-diagnosed SSc in a population-based cohort over a 39-year time period, and assess for trends in survival over time.Methods:Medical records of patients with a diagnosis or suspicion of SSc in a geographically well-defined area from Jan 1, 1980 to Dec 31, 2018 were reviewed to identify incident cases of SSc. Cases were defined by physician diagnosis of SSc, and fulfillment of the 2013 ACR/EULAR classification criteria was ascertained. Prevalent cases of SSc on Jan 1, 2015 were also identified. Incidence and prevalence rates were age- and sex-adjusted to the 2010 U.S. white population. Survival rates were compared with expected rates in the general population.Results:85 incident cases of SSc (91% female, mean age 55.4 ± 16 y) and 49 prevalent cases on Jan 1, 2015 were identified. Patients had a mean 11.7 (SD 9.4) years of follow-up available. The overall age and sex adjusted annual incidence for 1980-2018 was 2.5 (95% CI: 2.0-3.1) per 100,000 population, with no change in incidence over time (p=0.32). The age-adjusted incidence was 4.4 (95% CI: 3.4-5.4) for females, and 0.56 (95% CI: 0.16-0.96) for males per 100,000 population. The age- and sex-adjusted prevalence on Jan 1, 2015 was 43.6 (95% CI: 31.3-55.8) per 100,000 population.77 (91%) patients fulfilled the 2013 classification criteria; 38 (45%) fulfilled 1980 criteria. 70 (82%) had limited cutaneous involvement, 12 (14%) had diffuse cutaneous involvement, and 3 (4%) had sine scleroderma. At SSc diagnosis, 80 (94%) patients had Raynaud’s, 43 (51%) had sclerodactyly, 39 (46%) had telangiectasias, 14/48 (29%) had abnormal nailfold capillaries, 16/35 (46%) had digital ulcers or fingertip scarring, 8 (9%) had interstitial lung disease (ILD), and 7 (8%) had pulmonary arterial hypertension (PAH). 77/82 patients (91%) had a positive antinuclear antibody. 44 (52%) had a known SSc-related autoantibody: 32 (73%) with anti-centromere, 9 (20%) with anti-Scl-70, and 4 (9%) with anti-RNA-polymerase III.Survival was 77% (95% CI: 69-87) at 5 years, 66% (95% CI: 56-78) at 10 years, and 42% (95% CI: 30-57) at 20 years, with no evidence of improved survival over time (p=0.46). Age (Hazard ratio [HR]: 1.49 per 10 year increase; 95% CI 1.19-1.88), smoking at time of diagnosis (HR: 2.37; 95% CI: 1.05-5.34), digital ischemia (HR: 2.54; 95% CI: 1.33-4.87), ILD (HR: 4.00; 95% CI: 2.11-7.59), and PAH (HR: 4.30; 95% CI: 2.24-8.25) had significant associations with mortality. Survival of patients with SSc was poorer than the general population (standardized mortality ratio: 2.48; 95% CI: 1.76-3.39).Conclusion:The average incidence of SSc in this population-based cohort spanning 39 years was 2.5 per 100,000 population, with no change in incidence over time. Age, smoking, digital ischemia, ILD and PAH were risk factors for poorer survival. Overall survival for patients with SSc is worse than that of the general population and shows no improvement over time, suggesting continued need for improved diagnostic and treatment measures.Figure 1.Survival of 85 Olmsted County residents with SSc compared with expected survival rates from Minnesota lifetables (observed: solid line, expected: dashed line).Disclosure of Interests:None declared

scholarly journals Mortality in Patients with Biopsy-proven Giant Cell Arteritis: A South Australian Population-based Study

2011 ◽  
Vol 38 (10) ◽  
pp. 2215-2217 ◽  
Author(s):  
JEM NINAN ◽  
ANH-MINH NGUYEN ◽  
ANTONIA COLE ◽  
MAUREEN RISCHMUELLER ◽  
THOMAS DODD ◽  
...  
Keyword(s):  
General Population ◽  
Giant Cell Arteritis ◽  
Giant Cell ◽  
Cause Of Death ◽  
Relative Survival ◽  
Population Based ◽  
Survival Ratio ◽  
Australian Population ◽  
Risk Of Death ◽  
The Mean

Objective.To compare mortality rates and cause of death in patients with biopsy-proven giant cell arteritis (GCA) with those in the general population.Methods.Patients with biopsy-proven GCA were identified from pathology reports of temporal artery biopsies in South Australia, from January 1, 1992, to December 31, 2006. All patients with biopsy-proven GCA were linked to the South Australian Births, Death and Marriage Registry to identify deaths until December 31, 2006. Standardized mortality ratios and relative survival (ratio of observed survival in GCA group to expected survival of general South Australian population, matched by age, sex, and calendar time) were calculated. The cause of death recorded on the death certificate was also documented.Results.There were 225 cases of biopsy-proven GCA (163 women and 62 men). The mean age at diagnosis of GCA was 78.2 years. The mean followup period was 66.2 months (SD 47.1 mo). During the followup period, there were 71 deaths in the GCA group (50 women, 21 men). The standardized mortality ratio was 0.99 (95% CI 0.77–1.25). The relative survival for different followup periods demonstrates that patients with GCA experienced similar mortality to the general population (age-matched and sex-matched). Death from cardiovascular causes (45%) was the most common, followed by infection (17%) and cancer (17%). Infection was a significantly more common cause of death in the first year (chi-squared, p = 0.0002).Conclusion.Our population-based cohort study did not demonstrate any increased mortality risk for patients diagnosed with biopsy-proven GCA. The risk of death from infection early in the disease may be increased.

scholarly journals Increased risk of cardiovascular disease in giant cell arteritis: a general population–based study

Rheumatology ◽  
2015 ◽  
Vol 55 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Neda Amiri ◽  
Mary De Vera ◽  
Hyon K. Choi ◽  
Eric C. Sayre ◽  
J. Antonio Avina-Zubieta
Keyword(s):  
Cardiovascular Disease ◽  
General Population ◽  
Giant Cell Arteritis ◽  
Giant Cell ◽  
Population Based ◽  
Population Based Study ◽  
Increased Risk

scholarly journals All-cause mortality in systemic rheumatic diseases under treatment compared with the general population, 2015–2019

RMD Open ◽  
2021 ◽  
Vol 7 (3) ◽  
pp. e001694
Author(s):  
Vasiliki-Kalliopi Bournia ◽  
George E Fragoulis ◽  
Panagiota Mitrou ◽  
Konstantinos Mathioudakis ◽  
Anastasios Tsolakidis ◽  
...  
Keyword(s):  
General Population ◽  
Lupus Erythematosus ◽  
Inflammatory Arthritis ◽  
Disease Duration ◽  
Survival Rates ◽  
Mortality Rates ◽  
Population Based ◽  
Electronic Database ◽  
All Cause Mortality ◽  
Systemic Rheumatic Diseases

ObjectivesTo compare current all-cause mortality rates in rheumatoid arthritis (RA), ankylosing spondylitis (AS), psoriatic arthritis (PsA), systemic lupus erythematosus (SLE) and systemic sclerosis (SSc) versus general population.MethodsIn this population-based, retrospective cohort study, anonymised data on 11 186 586 citizens, including all patients with RA (42 735, 79% female), AS (9707, 43% female), PsA (13 779, 55% female), SLE (10 440, 89% female) and SSc (2277, 88% female), (median age of 64/47/54/53/59 years at study entry, respectively), under prescribed treatment between 2015 and 2019, were extracted from the electronic database covering nearly 99% of the Greek population.ResultsAfter 1:5 (patients:general population) matching for gender/age, we found that survival was worse in SSc, followed by SLE and inflammatory arthritis. Compared with the general population HRs for death increased from the first 3 years to 5 years of observation possibly due to increases in disease duration: RA (from 0.63 to 1.13 (95% CI: 1.05 to 1.22), AS (from 0.62 to 1.01, (95% CI: 0.76 to 1.33)), PsA (from 0.68 to 1.06, (95% CI: 0.88 to 1.28)), SLE (from 1.52 to 1.98, (95% CI: 1.67 to 2.33)) and SSc (from 2.27 to 4.24, (95% CI: 3.19 to 5.63)). In both SLE and SSc mortality was increased in men than women and in patients younger than 50 years.ConclusionsSurvival rates over 5 years in inflammatory arthritis under treatment are currently becoming comparable (AS/PsA) or slightly higher (RA) than those of the general population. However, all-cause mortality is almost twofold and fourfold higher in SLE and SSc, respectively, being even higher for male and younger patients.

scholarly journals POS0210 THE INCIDENCE AND RISK FACTORS OF RHEUMATOID ARTHRITIS-ASSOCIATED INTERSTITIAL LUNG DISEASE

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 322-322
Author(s):  
B. Samhouri ◽  
R. Vassallo ◽  
S. Achenbach ◽  
V. Kronzer ◽  
J. M. Davis ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factors ◽  
Interstitial Lung Disease ◽  
Lung Disease ◽  
Cumulative Incidence ◽  
Population Based ◽  
Competing Risk ◽  
Olmsted County ◽  
Research Support ◽  
Risk Of Death

Background:Rheumatoid arthritis (RA) is a systemic inflammatory disease of the joints and other organs, including the lungs.1 Interstitial lung disease (ILD) is a lung injury pattern associated with significant symptom burden and poor outcomes in RA.2 Better understanding of its risk factors could help with disease prevention and treatment.Objectives:Using a population-based cohort, we sought to ascertain the incidence and risk factors of RA-associated ILD (RA-ILD) in recent years.Methods:The study included adult residents of Olmsted County, Minnesota with incident RA between 1999 and 2014 based on the 1987 ACR classification criteria.3 Study subjects were followed until death, migration, or 4/30/2019. ILD was defined by the presence of bilateral interstitial fibrotic changes (excluding biapical scarring) on chest computed tomography (CT). In the absence of chest CT imaging, a physician’s diagnosis of ILD in conjunction with chest X-ray findings suggestive of ILD and a restrictive pattern on pulmonary function testing (defined as a total lung capacity less than the lower limit of normal) was considered diagnostic of ILD. Evaluated risk factors included age, sex, calendar year, smoking status, body mass index (BMI) and presence/absence of rheumatoid factor (RF) and anti-citrullinated protein antibodies (ACPA). Cumulative incidence of ILD was adjusted for the competing risk of death. Cox models were used to assess the association between potential risk factors and the development of RA-ILD.Results:In Olmsted County, 645 residents were diagnosed with RA between 1999 and 2014. Seventy percent of patients were females, and 30% were males; median age at RA diagnosis was 55.3 [IQR 44.1-66.6] years, and most patients (89%) were white. Fifty-three percent of patients were never-smokers, and 64% had seropositive RA. Forty percent were obese (i.e., BMI ≥30 kg/m2); median BMI was 28.3 [IQR 24.3-33.0] kg/m2.In the cohort, ILD was identified in 73 patients. The ILD diagnosis predated RA diagnosis in 22 patients (3.4%) who were excluded from subsequent analyses. Final analyses included the remaining 623 patients with no ILD preceding, or at the time of RA diagnosis. Over a median follow-up interval of 10.2 [IQR 6.5-14.3] years, 51 patients developed ILD. Cumulative incidence of ILD, adjusted for the competing risk of death, was 4.3% at 5 years; 7.8% at 10 years; 9.4% at 15 years; and 12.3% at 20 years after RA diagnosis (Figure 1).Age, and history of smoking at RA diagnosis correlated with the incidence of ILD; adjusted hazard ratios (HRs) were 1.89 per 10-year increase in age (95% confidence interval 1.52-2.34) and 1.94 (95% confidence interval 1.10-3.42), respectively. On the other hand, sex (HR: 1.21; 95% CI: 0.68-2.17), BMI (HR: 0.99; 95% CI: 0.95-1.04), obesity (HR: 0.89; 95% CI: 0.50-1.58), and seropositivity (HR: 1.15; 95% CI: 0.65-2.03) did not demonstrate significant associations with ILD.Conclusion:This study provides a contemporary estimate of the occurrence of ILD in a well-characterized population-based cohort of patients with RA. Our findings of a lack of association between sex, obesity and seropositivity with ILD may indicate a change in established risk factors for ILD and warrant further investigation.References:[1]Shaw M, Collins BF, Ho LA, Raghu G. Rheumatoid arthritis-associated lung disease. Eur Respir Rev. 2015;24(135):1-16. doi:10.1183/09059180.00008014[2]Bongartz T, Nannini C, Medina-Velasquez YF, et al. Incidence and mortality of interstitial lung disease in rheumatoid arthritis - A population-based study. Arthritis Rheum. 2010;62(6):1583-1591. doi:10.1002/art.27405[3]Aletaha D, Neogi T, Silman AJ, et al. 2010 Rheumatoid arthritis classification criteria: An American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis Rheum. 2010;62(9):2569-2581. doi:10.1002/art.27584Figure 1.Cumulative incidence of ILD in patients diagnosed with RA between 1999 and 2014, adjusted for the competing risk of death. Abbreviations. ILD: interstitial lung disease; RA: rheumatoid arthritis.Disclosure of Interests:Bilal Samhouri: None declared, Robert Vassallo Grant/research support from: Research grants from Pfizer, Sun Pharmaceuticals and Bristol Myers Squibb, Sara Achenbach: None declared, Vanessa Kronzer: None declared, John M Davis III Grant/research support from: Research grant from Pfizer., Elena Myasoedova: None declared, Cynthia S. Crowson: None declared

scholarly journals POS0803 TRENDS IN THE INCIDENCE OF GIANT CELL ARTERITIS ACROSS SEVEN DECADES AND CHANGES IN DIAGNOSTIC MODALITIES: A POPULATION-BASED STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 654.1-654
Author(s):  
T. Garvey ◽  
C. S. Crowson ◽  
M. Koster ◽  
K. J. Warrington
Keyword(s):  
Giant Cell Arteritis ◽  
Giant Cell ◽  
Population Based ◽  
Incidence Rates ◽  
Large Vessel ◽  
Vessel Imaging ◽  
Group 3 ◽  
Group 2 ◽  
Diagnostic Modalities ◽  
Incident Cases

Background:Diagnostic methods for giant cell arteritis (GCA) have evolved over recent decades, and large vessel imaging plays an increasing role in disease detection.Objectives:This study aims to estimate the incidence of GCA over the past 10 years in a population and compare it to preceding incidence estimates. It also explores trends in the diagnostic modalities used to identify GCA.Methods:A pre-existing population-based cohort of patients diagnosed with GCA between 1950 and 2009 was extended with incident cases from 2010 to 2019. The diagnosis of GCA was confirmed by review of medical records of patients with ICD9/10 codes for GCA between 1/1/2010 and 12/31/2019. Incident cases that met either one of the following sets of inclusion criteria were added to the cohort: one, American College of Rheumatology 1990 GCA classification criteria; or two, patients aged ≥50 years with elevation of erythrocyte sedimentation rate or C-reactive protein and radiographic evidence of large vessel vasculitis attributed to GCA. Incident cases were classified into one of three groups: group 1, temporal artery biopsy (TAB) positive; group 2, TAB negative or not done with positive large-vessel imaging; or group 3, clinical diagnosis of GCA.Results:The study cohort included 305 patients diagnosed with GCA from 1950 until 2019. Fifty-five incident cases were diagnosed between 2010 and 2019; 37 females (67%) and 18 males (33%). The age and sex adjusted incidence rates (95% CI) per 100,000 between 2010 and 2019 for females, males, and the total population were 13.0 (8.8, 17.3), 8.6 (4.6, 12.7), and 10.8 (8.0, 13.7), respectively. The corresponding incidence rates from 2000-2009 were 28.0 (21.0, 35.1), 10.2 (5.0, 15.5), and 20.5 (15.9, 25.1), respectively. This represents a significant decline in the incidence rates in females (p<0.001) and the total group (p<0.001) between the 2000-2009 and 2010-2019 cohorts but no change in males (p=0.64). Of the 55 patients diagnosed between 2010 and 2019, there were 37 (67%) in group 1, 10 (18%) in group 2, and 8 (15%) in group 3. In contrast, of the 250 patients diagnosed between 1950 and 2009 there were 209 (84%) in group 1, 4 (2%) in group 2, and 37 (15%) in group 3. There was a significant difference between the 1950-2009 and 2010-2019 cohorts in the composition of these groups (p<0.001).Conclusion:In this population-based cohort of patients with GCA diagnosed over a 70-year period, the incidence of GCA has declined in recent years. The total decline is driven by a decline in females but not in males. The reasons for this are unclear but should be followed over time and investigated in other population-based cohorts. There has also been a shift in the diagnostic modalities for GCA. In recent years, there are fewer TAB positive patients, and more patients diagnosed with large vessel imaging. This is the first population-based incidence cohort demonstrating a trend towards increased use of large vessel imaging for the diagnosis of GCA.References:[1]Chandran AK, et al. Incidence of Giant Cell Arteritis in Olmsted County, Minnesota, over a 60-year period 1950-2009. Scand J Rheumatol. 2015;44(3):215-218.[2]Gonzalez-Gay MA, et al. Giant cell arteritis: is the clinical spectrum of the disease changing? BMC Geriatr. 2019; Jul 29;19(1):200.[3]Rubenstein E, et al. Sensitivity of temporal artery biopsy in the diagnosis of giant cell arteritis: a systemic literature review and meta-analysis. Rheumatology (Oxford). 2020 May 1:59(5):1011-1020.Figure 1.Trends in the incidence of GCA in Olmsted County by sex (1950-2019).Acknowledgements:This study was made possible using the resources of the Rochester Epidemiology Project, which is supported by the National Institute on Aging of the National Institutes of Health (NIH) under Award Number R01 AG034676, and CTSA Grant Number UL1 TR000135 from the National Center for Advancing Translational Sciences (NCATS), a component of the NIH. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.Disclosure of Interests:Thomas Garvey: None declared, Cynthia S. Crowson: None declared, Matthew Koster: None declared, Kenneth J Warrington Grant/research support from: Clinical research support from Eli Lilly and Kiniksa

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