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. 2021 Nov 3;61(7):2942–2950. doi: 10.1093/rheumatology/keab817

Hypothyroidism in vasculitis

Tanaz A Kermani 1,, David Cuthbertson 2, Simon Carette 3, Nader A Khalidi 4, Curry L Koening 5, Carol A Langford 6, Carol A McAlear 7, Paul A Monach 8, Larry Moreland 9, Christian Pagnoux 10, Philip Seo 11, Ulrich Specks 12, Antoine Sreih 13, Kenneth J Warrington 14, Peter A Merkel 15; the Vasculitis Clinical Research Consortium
PMCID: PMC9607991  PMID: 34730828

Abstract

Objective

To study the prevalence, risk and clinical associations of hypothyroidism among several forms of vasculitis.

Methods

Patients with GCA, Takayasu’s arteritis (TAK), PAN and the three forms of ANCA-associated vasculitis [AAV; granulomatosis with polyangiitis (GPA), microscopic polyangiitis and eosinophilic granulomatosis with polyangiitis (EGPA)] enrolled in a prospective, multicentre, longitudinal study were included.

Results

The study included data on 2085 patients [63% female, 90% White] with a mean age of 54.6 years (s.d. 17.2). Diagnoses were GCA (20%), TAK (11%), PAN (5%), GPA (42%), microscopic polyangiitis (8%) and EGPA (14%). Hypothyroidism was present in 217 patients (10%) (83% female), with a mean age 59.8 years (s.d. 14.5). Age- and sex-adjusted risk of hypothyroidism was GCA, odds ratio (OR) 0.61 (95% CI 0.41, 0.90); TAK, OR 0.57 (95% CI 0.31, 1.03); PAN, OR 0.59 (95% CI 0.25, 1.38); GPA, OR 1.51 (95% CI 1.12, 2.05); microscopic polyangiitis, OR 1.81 (95% CI 1.18, 2.80) and EGPA, OR 0.82 (95% CI 0.52, 1.30). Among patients with AAV, age- and sex-adjusted risk of hypothyroidism was higher with positive MPO-ANCA [OR 1.89 (95% CI 1.39, 2.76)]. The clinical manifestations of vasculitis were similar in patients with and without hypothyroidism, except transient ischaemic attacks, which were more frequently observed in patients with GCA and hypothyroidism (12% vs 2%; P = 0.001).

Conclusions

Differences in the risk of hypothyroidism among vasculitides may be due to genetic susceptibilities or immune responses. This study confirms an association of hypothyroidism with MPO-ANCA.

Keywords: hypothyroidism, vasculitis, GCA, Takayasu’s arteritis, polyarteritis nodosa, granulomatosis with polyangiitis, microscopic polyangiitis, eosinophilic granulomatosis with polyangiitis, antineutrophil cytoplasmic antibody


Rheumatology key messages.

  • Older age and female sex are risk factors for hypothyroidism in patients with vasculitis.

  • Patients with granulomatosis with polyangiitis and microscopic polyangiitis have an increased risk of hypothyroidism.

  • Hypothyroidism was strongly associated with myeloperoxidase antibodies in patients with ANCA-associated vasculitis.

Introduction

There are shared genetic susceptibilities between multiple autoimmune diseases. For example, polymorphisms in CTLA4 and PTNP22 have been reported in patients with AAV and other autoimmune diseases, including autoimmune thyroid disease [1, 2]. Furthermore, patients with one autoimmune condition are at increased risk of other autoimmune diseases [3].

Globally, the prevalence of hypothyroidism ranges from 0.5% and 5.3% [4]. In the USA, the estimated prevalence of hypothyroidism is 3.7% [5]. Furthermore, increasing age and female sex have been associated with hypothyroidism [4–8]. Several studies have found an increased risk of thyroid dysfunction in patients with GCA and ANCA-associated vasculitis (AAV) [9–15]. In patients with AAV, a higher prevalence of thyroid disease has been reported among patients with MPO antibodies, although microscopic polyangiitis (MPA) was overrepresented in two studies [10, 12, 14]. Similarly, studies comparing clinical manifestations of patients with AAV with and without thyroid disease had conflicting results, with one reporting an increase in renal and ENT manifestations, while the other two studies found no differences [10, 12, 14]. The prevalence of thyroid disease in Takayasu’s arteritis (TAK) or PAN has not been well studied.

This large, multicentre study compared the risks of hypothyroidism in patients with GCA, TAK, PAN and the three forms of AAV—granulomatosis with polyangiitis (GPA), microscopic polyangiitis (MPA) and eosinophilic granulomatosis with polyangiitis (EGPA). The study also compared the clinical manifestations of vasculitis in patients with and without hypothyroidism. Finally, a literature review was conducted of studies evaluating thyroid disease in systemic vasculitis.

Patients and methods

Patients with GCA, TAK, PAN, GPA, MPA and EGPA enrolled in a prospective, multicentre, longitudinal study through the Vasculitis Clinical Research Consortium (VCRC) were included. Patients could be enrolled at any time at or after diagnosis. The study was approved by the institutional review boards at Brigham & Women’s Hospital, Boston University, Cleveland Clinic Foundation, Johns Hopkins University, Mayo Clinic, Mount Sinai Hospital, St. Joseph’s Healthcare, University of Pennsylvania, University of Pittsburgh and University of Utah. All participants provided written informed consent.

Patients were followed prospectively with standardized clinical assessments, including symptoms attributed to vasculitis, physical examination and laboratory tests. A comorbidity form systematically collected data on the presence and type of thyroid disease at entry into the cohort and every 12 months. This study analysed the presence of hypothyroidism at entry into the cohort. The use of medications, including methimazole and propylthiouracil, was also collected.

Descriptive statistics were used. Age- and sex-adjusted odds ratios (ORs) and 95% CIs for risk of thyroid diseases were calculated using logistic regression. Clinical manifestations at diagnosis were compared among patients with and without hypothyroidism using Fisher’s exact test (two tailed). JMP, version 16 (SAS Institute, Cary, NC, USA) was used for statistical analysis.

Results

The study included 2085 patients (63% female, 90% White), with a mean age of 54.6 years (s.d. 17.2). Diagnoses were GCA [427 (20%)], TAK [225 (11%)], PAN [108 (5%)], GPA [873 (42%)], MPA [170 (8%) and EGPA [282 (14%)] (Table 1). Hypothyroidism was present in 217 patients [10% overall cohort, 83% female, mean age 59.8 years (s.d. 14.5)]. For the entire vasculitis cohort, female sex [OR 3.12 (95% 2.17, 4.48)] and age [OR 1.02 (95% CI 1.01, 1.03) for each additional year] were associated with an increased risk of hypothyroidism. The frequencies of hypothyroidism and age- and sex-adjusted ORs for hypothyroidism for the different vasculitides are presented in Table 1. The highest frequency of hypothyroidism was in patients with MPA (18%). Adjusting for age and sex, patients with GCA had a lower risk of hypothyroidism [OR 0.61 (95% CI 0.41, 0.90)] compared with other patients with vasculitis, while the risk of hypothyroidism was higher in patients with GPA [OR 1.51 (95% CI 1.12, 2.05)] and MPA [OR 1.81 (95% CI 1.18, 2.80)] (Table 1).

Table 1.

Rate of hypothyroidism by type of vasculitis

Variable GCA (n = 427) TAK (n = 225) PAN (n = 108) GPA (n = 873) MPA (n = 170) EGPA (n = 282)
Age, years, mean (s.d.) 72 (8.5) 38.4 (12.7) 48.6 (16.2) 50.7 (16.3) 59.7(14.5) 53.3 (13.8)
Female, n (%) 300 (70) 209 (93) 60 (55) 467 (54) 107 (63) 159 (56)
Ethnicity, n (%)
 White 413 (97) 182 (81) 92 (85) 800 (92) 151 (89) 248 (87)
 African American 5 (1) 10 (4) 5 (5) 15 (2) 4 (2) 6 (5)
 Asian 4 (1) 28 (12) 6 (6) 39 (5) 5 (3) 16 (6)
 Other 5 (1) 5 (2) 5 (5) 19 (2) 10 (6) 13 (5)
Hypothyroidism, n (%) 51 (12) 14 (6) 6 (6) 93 (11) 30 (18) 23 (8)
Hypothyroidism, ORa (95% CI) 0.61 0.57 0.59 1.51 1.81 0.82
(0.41, 0.90) (0.31, 1.03) (0.25, 1.38) (1.12, 2.05) (1.18, 2.80) (0.52, 1.30)
a

Age and sex adjusted.

The comparisons of demographics and clinical features of vasculitis in patients with TAK and GCA with and without hypothyroidism are outlined in Table 2. In patients with TAK, older age was associated with hypothyroidism. There were no differences in the manifestations of vasculitis between the two groups (Table 2). In patients with GCA, female sex was associated with hypothyroidism (Table 2). A greater proportion of patients with GCA and hypothyroidism had transient ischaemic attacks (TIAs) attributed to vasculitis (12% vs 2% for those without; P = 0.001, with P-values <0.003 considered statistically significant, after accounting for multiple comparisons) (Table 2). The use of antiplatelet therapy was similar in patients with GCA with hypothyroidism (57%) or without hypothyroidism (56%) (P = 1). Cardiovascular risk factors were similar between the two groups, including hypertension (31 patients, 61% with hypothyroidism vs 225 patients, 60% without; P = 1), dyslipidaemia (13 patients, 25% with hypothyroidism vs 65 patients, 17% without; P = 0.17), atrial fibrillation (5 patients, 10% with hypothyroidism vs 18 patients, 5% without; P = 0.14) or diabetes (1 patient, 2% with hypothyroidism vs 11 patients, 3% without; P = 1).

Table 2.

Demographics and clinical symptoms among patients with TAK or GCA with or without hypothyroidism

Variable TAK
GCA
Hypothyroidism (n = 14) No hypothyroidism (n = 211) P-value Hypothyroidism (n = 51) No hypothyroidism (n = 374) P-value
Age, years, mean (s.d.) 47.4 (13.0) 37.8 (12.5) 0.02 71.2 (8.9) 71.6 (8.4) 0.78
Female 14 (100) 195 (92) 0.61 46 (90) 254 (68) <0.01
Positive temporal artery biopsy, n/N (%) NA NA NA 34/39 (87) 244/299 (82) 0.37
Constitutional 4 (29) 70 (33) 1.00 18 (35) 132 (35) 1.00
Headache 3 (21) 58 (27) 0.76 36 (70) 270 (72) 0.82
Jaw/tongue claudication 1 (7) 26 (12) 1.00 28 (55) 194 (52) 0.68
Carotidynia 3 (21) 47 (22) 1.00 2 (4) 23 (6) 0.75
Visual manifestations 2 (14) 17 (8) 0.31 21 (41) 134 (36) 0.44
 Partial vision loss 1 (7) 1 (0.5) 0.45 10 (20) 55 (15) 0.40
 Severe vision loss 0 0 1 (0.5) 1.00 5 (10) 44 (12) 0.82
Upper extremity claudication 9 (64) 117 (55) 0.59 7 (14) 65 (17) 0.69
Lower extremity claudication 4 (29) 35 (17) 0.27 4 (8) 28 (8) 1.00
Musculoskeletal including PMR 4 (29) 54 (26) 0.76 27 (53) 142 (38) 0.05
Central nervous system 4 (29) 69 (32) 1.00 9 (18) 30 (8) 0.03
 TIA 1 (7) 19 (9) 1.00 6 (12) 6 (2) <0.01
 Stroke 1 (7) 12 (6) 0.56 0 0 9 (2) 0.08
Cardiac 2 (14) 25 (12) 0.67 1 (2) 7 (2) 1.00
Gastrointestinal 0 0 10 (5) 1.00 1 (2) 2 (1) 0.32
Renal 2 (14) 46 (22) 0.74 1 (2) 2 (1) 0.32
 Renovascular hypertension 2 (14) 41 (19) 1.00 0 0 1 (0.3) 1.00

Values presented as n (%) unless stated otherwise.

NA: not available.

The PAN cohort included 108 patients [6 patients (6%) with hypothyroidism, 83% female]. There were no differences between patients with and without hypothyroidism with respect to age, constitutional symptoms or involvement of skin, gastrointestinal, renal, peripheral nerve, central nervous or genitourinary systems (P > 0.05) (Supplementary Table S1, available at Rheumatology online).

A comparison of demographics and clinical manifestations of vasculitis in patients with AAV with and without thyroid disease is provided in Table 3. Older age and female sex were associated with hypothyroidism (Table 3). A higher proportion of patients with hypothyroidism had positive MPO antibodies (45% vs 25% without hypothyroidism; P < 0.001) (Table 3). Conversely, a lower frequency of patients with PR3 positivity had hypothyroidism (40% vs 53% without hypothyroidism; P = 0.02) (Table 3). The association of MPO with hypothyroidism was especially prominent in patients with GPA (34% vs 12% without hypothyroidism; P < 0.001) (Table 3). Even after adjusting for age and sex, the risk of hypothyroidism was greater in patients with positive MPO [OR 1.92 (95% CI 1.32, 3.14)]. PR3 positivity was not associated with a risk of hypothyroidism after adjusting for age and sex [OR 0.78 (95% CI 0.53, 1.12)]. When evaluating the overall group of patients with AAV, there were no clinical differences in patients with and without hypothyroidism (Table 3).

Table 3.

Demographics and clinical manifestations of patients with AAV with and without hypothyroidism

Variable All AAV
GPA
MPA
EGPA
Hypothyroidism (n = 146) No hypothyroidism (n = 1181) P-value Hypothyroidism (n = 93) No hypothyroidism (n = 780) P-value Hypothyroidism (n = 30) No hypothyroidism (n = 140) P-value Hypothyroidism (n = 23) No hypothyroidism (n = 259) P-value
Age, years 57.4 (14.0) 51.8 (15.9) <0.001 55.7 (14.3) 50.2 (16.4) 0.002 62.2 (13.3) 59.2 (14.7) 0.23 58.1 (12.3) 52.8 (13.8) 0.07
Female 114 (78) 619 (52) <0.001 67 (72) 400 (51) <0.001 27 (90) 80 (57) <0.001 20 (87) 139 (54) 0.001
ANCA negativea 21 (15) 239 (22) 0.10 4 (5) 84 (11) 0.06 2 (7) 7 (5) 0.67 15 (72) 148 (65) 0.64
MPO positivea 62 (45) 282 (25) <0.001 30 (34) 88 (12) <0.001 26 (87) 116 (85) 0.89 6 (29) 78 (34) 0.79
PR3 positivea 56 (40) 591 (53) 0.02 54 (62) 575 (77) 0.004 2 (7) 14 (10) 0.69 0 (0) 2 (1) 0.78
Constitutional 111 (78) 911 (77) 0.75 74 (80) 607 (78) 1.00 22 (73) 107 (76) 0.81 15 (65) 197 (76) 0.31
ENT 106 (73) 931 (79) 0.10 84 (90) 668 (87) 0.41 4 (13) 32 (23) 0.45 18 (78) 231 (89) 0.17
Cutaneous 42 (29) 392 (33) 0.30 20 (21) 235 (30) 0.06 9 (30) 30 (21) 0.34 13 (57) 127 (49) 0.52
Musculoskeletal 82 (56) 671(57) 0.86 56 (60) 498 (64) 0.42 15 (50) 59 (42) 0.42 11 (48) 114 (44) 0.83
Ocular 27 (18) 273 (23) 0.20 26 (28) 243 (31) 0.55 1 (3) 10 (7) 0.69 0 (0) 20 (8) 0.39
Cardiac 8 (5) 104 (9) 0.21 4 (4) 26 (3) 0.55 0 (0) 8 (6) 0.35 4 (17) 70 (27) 0.46
Gastrointestinal 2 (1) 70 (6) 0.02 0 (0) 22 (3) 0.16 1 (3) 8 (6) 1.00 1 (4) 40 (15) 0.22
Pulmonary 102 (70) 862 (73) 0.48 63 (68) 535 (69) 0.72 18 (60) 86 (61) 1.00 21 (91) 241 (93) 0.67
Renal 82 (56) 580 (49) 0.09 54 (58) 432 (56) 0.66 24 (80) 120 (86) 0.77 4 (17) 28 (11) 0.31
Nervous system 39 (27) 379 (32) 0.22 19 (20) 181 (23) 0.54 5 (17) 29 (21) 0.80 15 (65) 169 (65) 1.00
Venous thromboembolism 20 (14) 102 (8) 0.05 16 (17) 72 (9) 0.03 3 (10) 13 (9) 0.74 1 (4) 17 (7) 1.00
a

Percentage reported among patients with testing available.

During follow-up, 40 patients (2% previously without thyroid disease; 75% women) had a new diagnosis of hypothyroidism recorded. The mean duration of follow-up for the cohorts was 3.7 years (s.d. 3.21) for GCA, 4.29 (3.54) for TAK, 4.47 (3.52) for PAN, 4.59 (3.56) for GPA, 2.94 (2.51) for MPA and 3.84 (4.07) for EGPA. The distribution of new cases of hypothyroidism was as follows: 6 patients (2% previously unaffected) with GCA, 5 patients (2% previously unaffected) with TAK, 8 patients (8% previously unaffected) with PAN, 14 patients (2% previously unaffected) with GPA, 2 patients (1% previously unaffected) with MPA and 5 patients (2% previously unaffected) with EGPA.

Discussion

This study evaluated the presence of hypothyroidism across six different forms of vasculitis. Age and female sex were strongly associated with hypothyroidism in patients with vasculitis, a finding that is in keeping with what is observed in the general population. When comparing across the different forms of vasculitis, the age- and sex-adjusted risk of hypothyroidism was lowest among patients with GCA and highest among patients with GPA and MPA. In patients with AAV, hypothyroidism was associated with MPO antibodies, including the subset of patients with GPA. The manifestations of vasculitis in patients with and without hypothyroidism were similar, with the exception of TIA, which was more frequent in patients with GCA and hypothyroidism.

The literature review identified several studies evaluating the presence of hypothyroidism in patients with GCA (with many studies also including patients with polymyalgia rheumatica) and AAV, but only one study of TAK [9–23] (Table 4). In the current study, the prevalence of hypothyroidism for GCA was 12% while for AAV it was 11%, with the highest prevalence in patients with MPA (18%). These numbers are in keeping with prior studies where estimates of hypothyroidism in GCA ranged from 0 to 30% and for AAV from 4 to 20% (Table 4). While this study did not have a referent population, several of the published studies evaluated the risk of hypothyroidism in GCA and AAV compared with age- and sex-matched controls (Table 4). In GCA, the findings were contradictory, with two studies reporting an increased risk of thyroid disease, while two other studies found no difference (Table 4). In AAV, three of the four studies reported an increased risk of hypothyroidism compared with the general population (Table 4).

Table 4.

Summary of published literature evaluating hypothyroidism in patients with vasculitis

Study Year Population studied Total number of patients Number of patients with hypothyroidism Risk of hypothyroidism
GCA
Nicholson et al. [20] 1984 GCA, PMR and comparison population 98 GCA/PMR (number with each diagnosis not available) and 392 controls 3% with GCA/PMR vs 2% controls Not increased
Relative risk 1.7 (95% CI 0.4, 6.7)
Wiseman et al. [23] 1989 GCA, PMR 20 GCA, 16 PMR 30% with GCA, 56% with PMR NA
Dasgupta et al. [17] 1990 GCA, PMR 8 patients with GCA, 69 patients with PMR 0 NA
Bowness et al. [16] 1991 GCA, PMR 98 GCA, 269 PMR 4.9% all patients (data by diagnosis not available) NA
Myklebust et al. [19] 1997 GCA, PMR 41 GCA, 150 PMR 5 of 142 tested (3.5%) (data by diagnosis not available) NA
Duhaut P, et al. [18] 1999 GCA and comparison population 285 GCA and 222 controls 4.2% with GCA vs 7.7% controls NA
Mohammad et al. [13] 2017 GCA and comparison population 768 GCA and 3066 from general population 16% with GCA vs 11% controls Increased
OR 1.55 (95% CI 1.25, 1.91)
Yavne et al. [15] 2017 GCA and comparison population 5663 GCA and 23 308 from general population 18% GCA vs 7% controls Increased
OR 1.3 (95% CI 1.19, 1.42)
Current study 2021 GCA and 5 other forms of vasculitis 427 GCA, 1658 with other forms of vasculitis 12% GCA vs 10% other vasculitides Decreased compared with other forms of vasculitis
OR 0.61 (95% CI 0.41, 0.90)
TAK
Ohta Y et al. [21] 2003 TAK 36 patients 1 patient, 3% NA
Current study 2021 TAK and 5 other forms of vasculitis 225 TAK, 1860 with other forms of vasculitis 6% TAK vs 11% other vasculitides Not increased compared with other forms of vasculitis
OR 0.57 (95% CI 0.31, 1.03)
PAN
Current study 2021 PAN and 5 other forms of vasculitis 108 PAN, 1977 with other forms of vasculitis 6% PAN vs 11% other vasculitides Not increased compared with other forms of vasculitis
OR 0.59 (95% CI 0.25, 1.38)
AAV
Lionaki et al. [12] 2007 AAV with renal involvement and comparison population 158 patients (13% GPA, 55% MPA, 32% renal limited vasculitis) and 99 controls Thyroid disease (not characterized) present in 20% cases and 7% controls NA
Englund et al. [9] 2016 AAV and comparison population 186 patients (49% GPA, 45% MPA, 6% EGPA) and 744 from general population 27 (15%) with thyroid disease (hypothyroidism not specified) Increased
Rate ratio 2.1 (95% CI 1.3, 3.3)
Li et al. [11] 2018 GPA and comparison population 570 GPA and 5389 from general population 7% GPA vs 4% general population at study entry Not increased
Hazard ratio 1.41 (95% CI 0.84, 2.37)
Prednecki et al. [14] 2018 AAV 279 patients (clinical diagnosis not available) 49 (18%) NA
Kim et al. [10] 2019 AAV 186 patients, 25% GPA, 53% MPA, 22% EGPA 27 (15%) NA
Sarica et al. [22] 2021 AAV and comparison population 543 AAV (58% GPA, 29% MPA, 12.5% EGPA, 0.4% missing), 2672 general population New cases hypothyroidism in 4% AAV, 1.3% general population during median follow-up 5.1 years Increased
Incidence rate ratio 3.4 (95% CI 2, 6)
Current study 2021 AAV and 3 other forms of vasculitis 1325 AAV (66% GPA, 13% MPA, 21% EGPA), 760 other vasculitides 11% GPA, 18% MPA, 8% EGPA vs 9% other vasculitides Increased for GPA
OR 1.51 (95% CI 1.12, 2.05)
Increased for MPA
OR 1.81 (95% CI 1.18, 2.80)
Not increased for EGPA
OR 0.82 (95% CI 0.52, 1.30)

NA, not available; MPO, anti-MPO antibodies.

In the current study, hypothyroidism was strongly associated with MPO-ANCA in patients with AAV. Three other studies that evaluated thyroid disease (hyperthyroidism or hypothyroidism) in patients with AAV also found that 57–86% of patients with thyroid disease had MPO positivity (Table 4) [10, 12, 14]. In the current study, 45% of patients with AAV and hypothyroidism were MPO positive compared with 25% of patients without hypothyroidism. The current study also included a large number of patients with GPA and EGPA, whereas at least two of the prior studies had >50% of patients with MPA, which may have biased the results with respect to the risk in patients with MPO-ANCA [10, 12, 14]. The results in the current cohort are more likely reflective of the prevalence of MPO with hypothyroidism in AAV. None of the patients in the current study were on methimazole or propylthiouracil, which have been associated with drug-induced AAV, so the findings of ANCA positivity are unlikely explained by medication use. The largest prior study of thyroid disease in AAV included 279 patients, whereas the current study included 1327 patients with AAV. This included 873 patients with GPA, of which 14% were MPO-ANCA positive. Interestingly, the proportion of patients with GPA and hypothyroidism who were MPO positive was 35%; these data from patients with GPA contributed to the observed association of MPO positivity and hypothyroidism. Proposed mechanisms for this association have included homology between thyroid peroxidase antibodies and MPO or a general loss of tolerance to peroxidases [12, 14, 24]. However, this is speculative since none of the studies, including the current one, measured antithyroid peroxidase antibodies in patients with AAV and no studies have evaluated the presence of ANCA in asymptomatic patients with hypothyroidism.

This study also compared the clinical features of vasculitis between patients with and without thyroid disease. In GCA, there was a higher frequency of TIA (attributed to vasculitis) in patients with hypothyroidism, even though the use of antiplatelet therapy or other risk factors like dyslipidaemia, hypertension and diabetes mellitus did not differ between the two groups. While not statistically significant, the proportion of patients in the hypothyroid group with atrial fibrillation was higher than patients without hypothyroidism and may have accounted for this difference. Thyroid disease has been associated with cerebrovascular disease, even in the general population [25, 26]. One possible explanation is that the inflammatory process in GCA further compounds the baseline risk from hypothyroidism. This finding deserves further study in this population. No conclusions could be drawn about the association with stroke due to the small number of events. There were no differences in vasculitic manifestations between patients with thyroid disease in patients with TAK, PAN or AAV. Given the multiple manifestations of vasculitis compared in patients with and without hypothyroidism, any significant differences should be considered preliminary and require confirmation in an independent cohort.

The strengths of this study include the large number of patients with each of the six forms of vasculitis. There was systematic data collection at centres expert in the care of patients with vasculitis on the presence of thyroid disease and disease manifestations attributed to vasculitis.

This study also has several limitations to consider. This study evaluated the risk of hypothyroidism across the different forms of vasculitis and did not address risk compared with the general population. Information on thyroid function testing, antithyroid antibodies and specific forms of thyroid disease (e.g. Hashimoto’s thyroiditis, etc.) was not available. Since this is not an inception cohort, the timing of thyroid disease in relation to the onset of vasculitis could not be determined. Finally, the number of patients with thyroid disease in TAK and PAN were small, limiting the ability to draw definitive conclusions in these diseases.

In conclusion, similar to the general population, age and female sex are risk factors for hypothyroidism in patients with vasculitis. Among patients with vasculitis, patients with GPA and MPA have the highest risk of hypothyroidism and there is a strong association of hypothyroidism with MPO-ANCA in patients with AAV. The potential mechanisms accounting for the differential risk among the different forms of vasculitis and the association in patients with MPO positivity warrants further study.

Funding: This work was supported by the Vasculitis Clinical Research Consortium (VCRC) (U54 AR057319), which is part of the Rare Diseases Clinical Research Network, an initiative of the Office of Rare Diseases Research, National Center for Advancing Translational Science (NCATS). The VCRC is funded through collaboration between the NCATS and the National Institute of Arthritis and Musculoskeletal and Skin Diseases and has received funding from the National Center for Research Resources (U54 RR019497).

Disclosure statement: The authors have declared no conflicts of interest.

Data availability statement

The data underlying this article will be shared on reasonable request to the corresponding author.

Supplementary data

Supplementary data are available at Rheumatology online.

Supplementary Material

keab817_Supplementary_Data

Contributor Information

Tanaz A Kermani, Division of Rheumatology, University of California, Los Angeles, Los Angeles, CA.

David Cuthbertson, Department of Biostatistics and Informatics, Department of Pediatrics, University of South Florida, Tampa, FL, USA.

Simon Carette, Department of Medicine, Division of Rheumatology, Mount Sinai Hospital, Toronto.

Nader A Khalidi, Department of Medicine, Division of Rheumatology, St. Joseph’s Healthcare, McMaster University, Hamilton, ON, Canada.

Curry L Koening, Department of Medicine, Division of Rheumatology, University of Utah, Salt Lake City, UT.

Carol A Langford, Department of Medicine, Division of Rheumatology, Cleveland Clinic, Cleveland, OH.

Carol A McAlear, Department of Medicine, Division of Rheumatology and Division of Clinical Epidemiology, University of Pennsylvania, Philadelphia, PA.

Paul A Monach, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA.

Larry Moreland, Department of Medicine, Division of Rheumatology, University of Pittsburgh, Pittsburgh, PA.

Christian Pagnoux, Department of Medicine, Division of Rheumatology, Mount Sinai Hospital, Toronto.

Philip Seo, Department of Medicine, Division of Rheumatology, Johns Hopkins University, Baltimore, MD.

Ulrich Specks, Department of Medicine, Division of Pulmonary and Critical Care Medicine.

Antoine Sreih, Department of Medicine, Division of Rheumatology and Division of Clinical Epidemiology, University of Pennsylvania, Philadelphia, PA.

Kenneth J Warrington, Department of Medicine, Division of Rheumatology, Mayo Clinic, Rochester, MN, USA.

Peter A Merkel, Department of Medicine, Division of Rheumatology and Division of Clinical Epidemiology, University of Pennsylvania, Philadelphia, PA.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

keab817_Supplementary_Data

Data Availability Statement

The data underlying this article will be shared on reasonable request to the corresponding author.


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