Abstract

Objective

To investigate the association between proton pump inhibitor (PPI) use and the presence and severity of calcinosis in SSc.

Methods

We analysed data from two SSc cohorts from a single centre. Cohort 1 included 199 patients reviewed over 10 years, for whom retrospective data on PPI use and calcinosis were available. Cohort 2 was recruited prospectively and included 215 consecutive patients, who underwent clinical assessment. Outcomes of interest were presence of current calcinosis (CC) or calcinosis at any time (CAT).

Results

The cohort 1 data analysis showed that among patients on standard dose PPI 20% had calcinosis, while in those on high doses of PPI calcinosis was present in 39% (P = 0.003). Analysis of the data from cohort 2 confirmed these findings, demonstrating that the odds of CAT increased significantly with longer PPI exposure [odds ratio (OR) 1.04, 95% CI: 1.02, 1.06; P < 0.001], longer disease duration (OR 1.08, 95% CI: 1.05, 1.12; P < 0.001) and greater age (OR 1.03, CI: 1.01, 1.05; P = 0.010). Multivariable logistic regression showed that higher exposure to PPI remained a significant predictor of calcinosis, with PPI exposure >10 years increasing the risk of CAT >6-fold, compared with no PPI (OR 6.37, 95% CI: 1.92, 21.17; P = 0.003) after adjusting for disease duration and antibodies.

Conclusion

We confirm a significant association between high PPI exposure with severity of calcinosis in SSc. Given the clinical impact of calcinosis and reflux in SSc, PPI exposure as a potentially modifiable risk factor for calcinosis requires further evaluation.

Rheumatology key messages
  • Retrospective and prospective cohorts demonstrated a significant association between high proton pump inhibitor exposure score and calcinosis in SSc patients.

  • High proton pump inhibitor exposure predicted development of calcinosis independent of disease duration in the prospective study.

  • Given the impact of calcinosis on SSc, these findings warrant further study.

Introduction

First introduced in 1989, proton pump inhibitors (PPI) remain one of the most prescribed classes of medication in the developed world, notwithstanding emerging evidence of their association with some safety concerns, especially after long-term use [1]. These have included reports of nutritional and electrolyte deficiencies (magnesium, vitamin B12), altered gut microbiota (small intestinal bacterial overgrowth, Clostridium difficile infection), fractures, cognitive impairment, chronic kidney disease and subacute cutaneous lupus erythematosus [1–3]. Interestingly, there have been some reports of effects on mineral bone density, the development of vascular calcification and CPPD with PPI use [4, 5]. However, most of these studies are retrospective and observational in nature, and there remains a paucity of robust data to support these associations.

In SSc, PPI are the mainstay treatment for gastroesophageal reflux disease (GORD), which  affects at least 70% of the patients [6]. Calcinosis is the deposition of calcium hydroxyapatite in the subcutaneous tissues. It is a major clinical problem affecting up to half of SSc patients, as well as patients with other connective tissue diseases including dermatomyositis and fasciitis [7, 8]. The aetiology of calcinosis in SSc remains unclear, however tissue ischaemia and chronic trauma may be contributory [9, 10].

In SSc, calcinosis appears to be associated with longer disease duration, digital ulceration, acro-osteolysis, and anti-centromere and anti-PM/Scl antibodies [8, 10]. It is a major source of morbidity for SSc patients and to date there are no proven effective treatments [8, 11].

The objective of this study was to investigate the association between PPI use and osteoporosis in an initial discovery SSc cohort, followed by further evaluation of the association between PPI use and presence and extent of calcinosis in a validation SSc cohort.

Methods

This study complies with the Declaration of Helsinki. Informed consent was obtained from patients reviewed in our centre, which has been approved by the London-Hampstead and the London-Fulham Research Ethics Committees. All patients met the 2013 ACR/EULAR criteria for SSc.

Cohort 1 (discovery cohort)

First, we retrospectively reviewed clinical data of SSc patients from our centre, seen over the preceding decade (cohort 1). The aim was to investigate the relationship between PPI use and osteoporosis. Patients who had had at least one DXA scan performed were included in the study. Demographic and clinical characteristics were recorded, including results from the DXA scans, classified as normal bone density, presence of osteopenia or osteoporosis. Presence of calcinosis clinically was recorded and plain radiographs, where available, were reviewed to confirm calcinosis. PPI treatment prior to DXA scans was characterized as none, standard dose or high dose PPI [12]. Ordinal logistic regression was used to assess the effects of various factors on DXA results.

Cohort 2 (validation cohort)

As the analysis of the data from cohort 1 indicated a possible association between PPI use and presence of calcinosis, we set up a prospective study to specifically test this hypothesis. Data on disease history and clinical assessment findings were prospectively collected from consecutive SSc patients during their clinic visits (cohort 2). Patients were asked about history of PPI use, including dose and duration, presence or absence of calcinosis including site(s) involved. Information including immunosuppressive treatments reported by patients was additionally verified through electronic record review. Calcinosis was graded by physician assessment in terms of size (<1 cm, ≥1 and ≤3 cm, >3 cm) and number of body sites involved (1 affected site, 2–3, >3). Where possible, we collected data on plain radiology of clinically affected sites within the preceding 12 months to confirm calcinosis as assessed clinically.

A dose equivalence score was established for PPI use with the following standard doses as defined in cohort 1: lansoprazole 15 mg, omeprazole 20 mg, pantoprazole 20 mg, esomeprazole 20 mg and rabeprazole 10 mg [12]. A total daily PPI equivalent dose was calculated for each patient. To quantify PPI exposure over time we calculated PPI exposure score (PPE) by multiplying the total duration of use in years by the total daily PPI equivalent dose. PPE was categorized into four groups: no exposure, ≤5 years, >5 and ≤10 years, and >10 years. Logistic regression was used to assess association between calcinosis and demographic or clinical patient characteristics.

Results

Retrospective analysis of discovery cohort, evaluating the association between PPI, osteoporosis and calcinosis

Table 1 summarizes key clinical characteristics for cohorts 1 and 2. The discovery cohort consisted of 199 SSc patients, 91.5% were female, mean age was 57.3 years, 69.4% had limited SSc and 25.1% had calcinosis. No significant association was found by univariable or multivariable analysis between PPI treatment and osteoporosis. After adjusting for relevant covariates and potential confounders including age, BMI, steroids and bisphosphonate treatments, there was a trend towards association between calcinosis and development of osteoporosis [odds ratio (OR) 1.67, 95% CI: 0.91, 3.06; P = 0.096].

Table 1

Patient and disease characteristics

CharacteristicCohort 1, n (%)Cohort 2, n (%)
Total number199 (100)215 (100)
Female182 (91.5)175 (81.4)
Agea (mean years)57.3 (12.0)57.4 (13.4)
Disease duration (mean years)12.7 (8.6)13.4 (9.9)
Scleroderma subtype
 Limited138 (69.4)141 (65.6)
 Diffuse61 (30.7)74 (34.4)
Overlap70 (35.2)52 (24.2)
Antibody category
 ACA55 (28.1)68 (31.6)
 ATA42 (21.4)55 (25.6)
 ARA11 (5.6)26 (12.1)
 ANA+ ENA–31 (15.8)20 (9.3)
 Anti-U3RNP antibody3 (1.5)11 (5.1)
 ANA negative6 (3.0)9 (4.2)
 Anti-PM/Scl antibody18 (9.2)9 (4.2)
 Other antibodyb36 (18.1)25 (11.6)
Calcinosis
 CurrentN/A69 (32.1)
 PastN/A14 (6.5)
 At any time50 (25.1)83 (38.6)
 Never149 (74.9)132 (61.4)
CC body sites, n (%) out of all with CC
 1/2–3/ id="322">3N/A17 (24.6)/28 (40.6)/24 (34.8)
CC size, n (%) out of all with CC
 <1 id="329" cm/1–3 cm/>3 cmN/A34 (49.3)/20 (29.0)/15 (21.7)
CC location body site(s), n (%) out of all with CC
 FingerN/A38 (55.1)
 ElbowN/A22 (31.9)
 KneeN/A11 (15.9)
 Hand/wrist/forearm/shoulderN/A6 (8.7)/5 (7.3)/7 (10.1)/7 (10.1)
 Foot/leg/buttockN/A4 (5.8)/3 (4.4)/2 (2.9)
Gastroesophageal reflux disease (GORD)cN/A180 (83.7)
PPI use
 CurrentN/A174 (80.9)
 PastN/A8 (3.72)
 NeverN/A33 (15.4)
Mean years on PPIN/A14.5 (16.3)
CharacteristicCohort 1, n (%)Cohort 2, n (%)
Total number199 (100)215 (100)
Female182 (91.5)175 (81.4)
Agea (mean years)57.3 (12.0)57.4 (13.4)
Disease duration (mean years)12.7 (8.6)13.4 (9.9)
Scleroderma subtype
 Limited138 (69.4)141 (65.6)
 Diffuse61 (30.7)74 (34.4)
Overlap70 (35.2)52 (24.2)
Antibody category
 ACA55 (28.1)68 (31.6)
 ATA42 (21.4)55 (25.6)
 ARA11 (5.6)26 (12.1)
 ANA+ ENA–31 (15.8)20 (9.3)
 Anti-U3RNP antibody3 (1.5)11 (5.1)
 ANA negative6 (3.0)9 (4.2)
 Anti-PM/Scl antibody18 (9.2)9 (4.2)
 Other antibodyb36 (18.1)25 (11.6)
Calcinosis
 CurrentN/A69 (32.1)
 PastN/A14 (6.5)
 At any time50 (25.1)83 (38.6)
 Never149 (74.9)132 (61.4)
CC body sites, n (%) out of all with CC
 1/2–3/ id="322">3N/A17 (24.6)/28 (40.6)/24 (34.8)
CC size, n (%) out of all with CC
 <1 id="329" cm/1–3 cm/>3 cmN/A34 (49.3)/20 (29.0)/15 (21.7)
CC location body site(s), n (%) out of all with CC
 FingerN/A38 (55.1)
 ElbowN/A22 (31.9)
 KneeN/A11 (15.9)
 Hand/wrist/forearm/shoulderN/A6 (8.7)/5 (7.3)/7 (10.1)/7 (10.1)
 Foot/leg/buttockN/A4 (5.8)/3 (4.4)/2 (2.9)
Gastroesophageal reflux disease (GORD)cN/A180 (83.7)
PPI use
 CurrentN/A174 (80.9)
 PastN/A8 (3.72)
 NeverN/A33 (15.4)
Mean years on PPIN/A14.5 (16.3)
a

Cohort 1: age at first DEXA scan; cohort 2: age at study enrolment.

b

Other antibodies include nRNP, Ro, La, Th/To, SL, hnRNP, NOR90, Mi2, Ku. GORD defined as a history of reflux symptoms or a diagnosis of gastroesophageal reflux documented in patient notes.

c

ATA: anti-topoisomerase I antibody; ARA: anti-RNA polymerase III antibody; CC: current calcinosis; N/A: not available; GORD: gastroesophageal reflux disease; PPI: proton pump inhibitor.

Table 1

Patient and disease characteristics

CharacteristicCohort 1, n (%)Cohort 2, n (%)
Total number199 (100)215 (100)
Female182 (91.5)175 (81.4)
Agea (mean years)57.3 (12.0)57.4 (13.4)
Disease duration (mean years)12.7 (8.6)13.4 (9.9)
Scleroderma subtype
 Limited138 (69.4)141 (65.6)
 Diffuse61 (30.7)74 (34.4)
Overlap70 (35.2)52 (24.2)
Antibody category
 ACA55 (28.1)68 (31.6)
 ATA42 (21.4)55 (25.6)
 ARA11 (5.6)26 (12.1)
 ANA+ ENA–31 (15.8)20 (9.3)
 Anti-U3RNP antibody3 (1.5)11 (5.1)
 ANA negative6 (3.0)9 (4.2)
 Anti-PM/Scl antibody18 (9.2)9 (4.2)
 Other antibodyb36 (18.1)25 (11.6)
Calcinosis
 CurrentN/A69 (32.1)
 PastN/A14 (6.5)
 At any time50 (25.1)83 (38.6)
 Never149 (74.9)132 (61.4)
CC body sites, n (%) out of all with CC
 1/2–3/ id="322">3N/A17 (24.6)/28 (40.6)/24 (34.8)
CC size, n (%) out of all with CC
 <1 id="329" cm/1–3 cm/>3 cmN/A34 (49.3)/20 (29.0)/15 (21.7)
CC location body site(s), n (%) out of all with CC
 FingerN/A38 (55.1)
 ElbowN/A22 (31.9)
 KneeN/A11 (15.9)
 Hand/wrist/forearm/shoulderN/A6 (8.7)/5 (7.3)/7 (10.1)/7 (10.1)
 Foot/leg/buttockN/A4 (5.8)/3 (4.4)/2 (2.9)
Gastroesophageal reflux disease (GORD)cN/A180 (83.7)
PPI use
 CurrentN/A174 (80.9)
 PastN/A8 (3.72)
 NeverN/A33 (15.4)
Mean years on PPIN/A14.5 (16.3)
CharacteristicCohort 1, n (%)Cohort 2, n (%)
Total number199 (100)215 (100)
Female182 (91.5)175 (81.4)
Agea (mean years)57.3 (12.0)57.4 (13.4)
Disease duration (mean years)12.7 (8.6)13.4 (9.9)
Scleroderma subtype
 Limited138 (69.4)141 (65.6)
 Diffuse61 (30.7)74 (34.4)
Overlap70 (35.2)52 (24.2)
Antibody category
 ACA55 (28.1)68 (31.6)
 ATA42 (21.4)55 (25.6)
 ARA11 (5.6)26 (12.1)
 ANA+ ENA–31 (15.8)20 (9.3)
 Anti-U3RNP antibody3 (1.5)11 (5.1)
 ANA negative6 (3.0)9 (4.2)
 Anti-PM/Scl antibody18 (9.2)9 (4.2)
 Other antibodyb36 (18.1)25 (11.6)
Calcinosis
 CurrentN/A69 (32.1)
 PastN/A14 (6.5)
 At any time50 (25.1)83 (38.6)
 Never149 (74.9)132 (61.4)
CC body sites, n (%) out of all with CC
 1/2–3/ id="322">3N/A17 (24.6)/28 (40.6)/24 (34.8)
CC size, n (%) out of all with CC
 <1 id="329" cm/1–3 cm/>3 cmN/A34 (49.3)/20 (29.0)/15 (21.7)
CC location body site(s), n (%) out of all with CC
 FingerN/A38 (55.1)
 ElbowN/A22 (31.9)
 KneeN/A11 (15.9)
 Hand/wrist/forearm/shoulderN/A6 (8.7)/5 (7.3)/7 (10.1)/7 (10.1)
 Foot/leg/buttockN/A4 (5.8)/3 (4.4)/2 (2.9)
Gastroesophageal reflux disease (GORD)cN/A180 (83.7)
PPI use
 CurrentN/A174 (80.9)
 PastN/A8 (3.72)
 NeverN/A33 (15.4)
Mean years on PPIN/A14.5 (16.3)
a

Cohort 1: age at first DEXA scan; cohort 2: age at study enrolment.

b

Other antibodies include nRNP, Ro, La, Th/To, SL, hnRNP, NOR90, Mi2, Ku. GORD defined as a history of reflux symptoms or a diagnosis of gastroesophageal reflux documented in patient notes.

c

ATA: anti-topoisomerase I antibody; ARA: anti-RNA polymerase III antibody; CC: current calcinosis; N/A: not available; GORD: gastroesophageal reflux disease; PPI: proton pump inhibitor.

Interestingly, there was a strong association between calcinosis and level of PPI use. Among patients who had not received PPI, calcinosis was present in 12.5%, among those on standard dose PPI, 20% had calcinosis, and among those on high doses of PPI, calcinosis was present in 39% (P = 0.003).

Prospective analysis of validation cohort, evaluating the association of PPI and calcinosis

We pursued additional analyses to understand the potential association between PPI and calcinosis in a prospective cohort of 215 consecutive patients attending clinical follow-up (cohort 2). Table 1 outlines PPI use and calcinosis characteristics for those subjects. Plain radiographs were requested for those with clinical calcinosis, those with clinically suspected calcinosis and for other indications including arthralgia within 12 months of assessment. These were available for 136 (63.3%) of the patients in cohort 2. This confirmed calcinosis in 55 (79.7%) of the 69 subjects with current calcinosis (CC). For the remaining 14 subjects, calcinosis was present clinically but no radiographs were performed.

Data on size of calcinosis and number of body sites involved for each PPE category were collected. Whilst the majority of patients did not have calcinosis, amongst those that did there were some interesting observations. Notably, all patients with large calcinotic deposits (>3 cm) had exposure to PPI and the majority (73.3%) of these had a PPE >10 years. Similarly, there were numerically more patients with more than one body site involved (n = 38) than those with only one body site involved (n = 10) in the group with PPE >10 years (n = 95). Female patients were more likely to develop calcinosis [36.0% CC and 41.7% calcinosis at any time (CAT)] compared with males (15%, P = 0.014 and 25%, P = 0.071, respectively). We found no association between CC or CAT and cutaneous subset, overlap syndrome or renal disease. Consistent with reported studies, there was strong association between CC and digital ulcers (OR 3.1, 95% CI: 1.5, 6.4; P = 0.002).

Univariable data analysis demonstrated that female sex, greater age, longer disease duration, ACA and anti-PM/Scl antibodies significantly increased the odds of both CC and CAT (Table 2). PPE was also associated with significantly increased odds of both CC and CAT, with 4% increase in the odds of CC or CAT for every year longer exposure to standard dose PPI (OR 1.04, 95% CI: 1.02, 1.06; P < 0.001 for both). Categorization of PPE revealed that compared with no PPI exposure, the odds of calcinosis development became significantly increased after PPI exposure for over 10 years.

Table 2

Associations between clinical characteristics and calcinosis in the prospective cohort

Current calcinosis
Calcinosis at any time
OR95% CIsP-valueOR95% CIsP-value
Univariable analysis
 Age, years1.041.01, 1.060.0031.031.01, 1.050.010
 Age = 40 years (Ref.)0.240.14, 0.420.370.23, 0.61
 Male0.310.12, 0.790.0140.470.21, 1.010.054
 Female (Ref.)0.560.41, 0.770.720.53, 0.97
 Disease duration, years1.091.05, 1.13<0.0011.081.05, 1.12<0.001
 At onset (Ref.)0.140.08, 0.250.210.12, 0.36
 DcSSc0.770.42, 1.420.3991.040.58, 1.850.899
 LcSSc (Ref.)0.520.36, 0.730.620.44, 0.87
 Overlap0.720.36, 1.450.3600.890.47, 1.700.725
 No overlap (Ref.)0.510.37, 0.700.650.47, 0.89
 ACA6.101.91, 19.520.0027.282.27, 23.340.001
 ATA1.130.31, 4.050.8571.960.58, 6.670.280
 ARA2.120.54, 8.340.2834.221.13, 15.730.032
 U3RNP4.790.97, 23.550.0544.790.97, 23.550.054
 PM/Scl9.581.61, 56.950.0139.581.61, 56.950.013
 ANA1.440.31, 6.610.6412.460.59, 10.290.216
 Other antibodiesa (Ref.)0.170.06, 0.500.170.06, 0.50
 PPI ≤5 years1.550.40, 6.070.5282.320.70, 7.700.169
 5 < PPI ≤10 years2.060.60, 7.120.2522.420.79, 7.440.124
 PPI >10 years7.662.50, 23.43<0.0017.322.61, 20.54<0.001
 No PPI (Ref.)0.130.05, 0.380.170.07, 0.45
Multivariable analysis
 Disease duration, years1.071.03, 1.11<0.0011.071.03, 1.11<0.001
 Other antibodiesa (Ref.)
 ACA9.832.65, 36.440.00111.093.03, 40.51<0.001
 ATA2.140.52, 8.820.2923.871.00, 15.000.050
 ARA3.260.71, 15.070.1307.651.75, 33.370.007
 U3RNP8.571.40, 52.410.0208.091.37, 47.880.021
 PM/Scl23.022.82, 188.020.00319.592.54, 151.040.004
 ANA1.270.24, 6.770.7812.550.53, 12.170.242
 No PPI (Ref.)
 PPI ≤5 years1.740.36, 8.360.4922.550.67, 9.770.171
 5 < PPI ≤10 years2.210.51, 9.630.2912.450.68, 8.820.170
 PPI >10 years7.651.96, 29.940.0036.371.92, 21.170.003
 Constant0.010.002, 0.070.010.002, 0.07
Current calcinosis
Calcinosis at any time
OR95% CIsP-valueOR95% CIsP-value
Univariable analysis
 Age, years1.041.01, 1.060.0031.031.01, 1.050.010
 Age = 40 years (Ref.)0.240.14, 0.420.370.23, 0.61
 Male0.310.12, 0.790.0140.470.21, 1.010.054
 Female (Ref.)0.560.41, 0.770.720.53, 0.97
 Disease duration, years1.091.05, 1.13<0.0011.081.05, 1.12<0.001
 At onset (Ref.)0.140.08, 0.250.210.12, 0.36
 DcSSc0.770.42, 1.420.3991.040.58, 1.850.899
 LcSSc (Ref.)0.520.36, 0.730.620.44, 0.87
 Overlap0.720.36, 1.450.3600.890.47, 1.700.725
 No overlap (Ref.)0.510.37, 0.700.650.47, 0.89
 ACA6.101.91, 19.520.0027.282.27, 23.340.001
 ATA1.130.31, 4.050.8571.960.58, 6.670.280
 ARA2.120.54, 8.340.2834.221.13, 15.730.032
 U3RNP4.790.97, 23.550.0544.790.97, 23.550.054
 PM/Scl9.581.61, 56.950.0139.581.61, 56.950.013
 ANA1.440.31, 6.610.6412.460.59, 10.290.216
 Other antibodiesa (Ref.)0.170.06, 0.500.170.06, 0.50
 PPI ≤5 years1.550.40, 6.070.5282.320.70, 7.700.169
 5 < PPI ≤10 years2.060.60, 7.120.2522.420.79, 7.440.124
 PPI >10 years7.662.50, 23.43<0.0017.322.61, 20.54<0.001
 No PPI (Ref.)0.130.05, 0.380.170.07, 0.45
Multivariable analysis
 Disease duration, years1.071.03, 1.11<0.0011.071.03, 1.11<0.001
 Other antibodiesa (Ref.)
 ACA9.832.65, 36.440.00111.093.03, 40.51<0.001
 ATA2.140.52, 8.820.2923.871.00, 15.000.050
 ARA3.260.71, 15.070.1307.651.75, 33.370.007
 U3RNP8.571.40, 52.410.0208.091.37, 47.880.021
 PM/Scl23.022.82, 188.020.00319.592.54, 151.040.004
 ANA1.270.24, 6.770.7812.550.53, 12.170.242
 No PPI (Ref.)
 PPI ≤5 years1.740.36, 8.360.4922.550.67, 9.770.171
 5 < PPI ≤10 years2.210.51, 9.630.2912.450.68, 8.820.170
 PPI >10 years7.651.96, 29.940.0036.371.92, 21.170.003
 Constant0.010.002, 0.070.010.002, 0.07

Results are based univariable and multiple regression analyses. aOther antibodies include nRNP, anti-PR3, Th, anti-SL, NOR90, Mi2, Ku and hnRNP. OR: odds ratio; ATA: anti-topoisomerase I antibody; ARA: anti-RNA polymerase III antibody; PPI: proton pump inhibitor.

Table 2

Associations between clinical characteristics and calcinosis in the prospective cohort

Current calcinosis
Calcinosis at any time
OR95% CIsP-valueOR95% CIsP-value
Univariable analysis
 Age, years1.041.01, 1.060.0031.031.01, 1.050.010
 Age = 40 years (Ref.)0.240.14, 0.420.370.23, 0.61
 Male0.310.12, 0.790.0140.470.21, 1.010.054
 Female (Ref.)0.560.41, 0.770.720.53, 0.97
 Disease duration, years1.091.05, 1.13<0.0011.081.05, 1.12<0.001
 At onset (Ref.)0.140.08, 0.250.210.12, 0.36
 DcSSc0.770.42, 1.420.3991.040.58, 1.850.899
 LcSSc (Ref.)0.520.36, 0.730.620.44, 0.87
 Overlap0.720.36, 1.450.3600.890.47, 1.700.725
 No overlap (Ref.)0.510.37, 0.700.650.47, 0.89
 ACA6.101.91, 19.520.0027.282.27, 23.340.001
 ATA1.130.31, 4.050.8571.960.58, 6.670.280
 ARA2.120.54, 8.340.2834.221.13, 15.730.032
 U3RNP4.790.97, 23.550.0544.790.97, 23.550.054
 PM/Scl9.581.61, 56.950.0139.581.61, 56.950.013
 ANA1.440.31, 6.610.6412.460.59, 10.290.216
 Other antibodiesa (Ref.)0.170.06, 0.500.170.06, 0.50
 PPI ≤5 years1.550.40, 6.070.5282.320.70, 7.700.169
 5 < PPI ≤10 years2.060.60, 7.120.2522.420.79, 7.440.124
 PPI >10 years7.662.50, 23.43<0.0017.322.61, 20.54<0.001
 No PPI (Ref.)0.130.05, 0.380.170.07, 0.45
Multivariable analysis
 Disease duration, years1.071.03, 1.11<0.0011.071.03, 1.11<0.001
 Other antibodiesa (Ref.)
 ACA9.832.65, 36.440.00111.093.03, 40.51<0.001
 ATA2.140.52, 8.820.2923.871.00, 15.000.050
 ARA3.260.71, 15.070.1307.651.75, 33.370.007
 U3RNP8.571.40, 52.410.0208.091.37, 47.880.021
 PM/Scl23.022.82, 188.020.00319.592.54, 151.040.004
 ANA1.270.24, 6.770.7812.550.53, 12.170.242
 No PPI (Ref.)
 PPI ≤5 years1.740.36, 8.360.4922.550.67, 9.770.171
 5 < PPI ≤10 years2.210.51, 9.630.2912.450.68, 8.820.170
 PPI >10 years7.651.96, 29.940.0036.371.92, 21.170.003
 Constant0.010.002, 0.070.010.002, 0.07
Current calcinosis
Calcinosis at any time
OR95% CIsP-valueOR95% CIsP-value
Univariable analysis
 Age, years1.041.01, 1.060.0031.031.01, 1.050.010
 Age = 40 years (Ref.)0.240.14, 0.420.370.23, 0.61
 Male0.310.12, 0.790.0140.470.21, 1.010.054
 Female (Ref.)0.560.41, 0.770.720.53, 0.97
 Disease duration, years1.091.05, 1.13<0.0011.081.05, 1.12<0.001
 At onset (Ref.)0.140.08, 0.250.210.12, 0.36
 DcSSc0.770.42, 1.420.3991.040.58, 1.850.899
 LcSSc (Ref.)0.520.36, 0.730.620.44, 0.87
 Overlap0.720.36, 1.450.3600.890.47, 1.700.725
 No overlap (Ref.)0.510.37, 0.700.650.47, 0.89
 ACA6.101.91, 19.520.0027.282.27, 23.340.001
 ATA1.130.31, 4.050.8571.960.58, 6.670.280
 ARA2.120.54, 8.340.2834.221.13, 15.730.032
 U3RNP4.790.97, 23.550.0544.790.97, 23.550.054
 PM/Scl9.581.61, 56.950.0139.581.61, 56.950.013
 ANA1.440.31, 6.610.6412.460.59, 10.290.216
 Other antibodiesa (Ref.)0.170.06, 0.500.170.06, 0.50
 PPI ≤5 years1.550.40, 6.070.5282.320.70, 7.700.169
 5 < PPI ≤10 years2.060.60, 7.120.2522.420.79, 7.440.124
 PPI >10 years7.662.50, 23.43<0.0017.322.61, 20.54<0.001
 No PPI (Ref.)0.130.05, 0.380.170.07, 0.45
Multivariable analysis
 Disease duration, years1.071.03, 1.11<0.0011.071.03, 1.11<0.001
 Other antibodiesa (Ref.)
 ACA9.832.65, 36.440.00111.093.03, 40.51<0.001
 ATA2.140.52, 8.820.2923.871.00, 15.000.050
 ARA3.260.71, 15.070.1307.651.75, 33.370.007
 U3RNP8.571.40, 52.410.0208.091.37, 47.880.021
 PM/Scl23.022.82, 188.020.00319.592.54, 151.040.004
 ANA1.270.24, 6.770.7812.550.53, 12.170.242
 No PPI (Ref.)
 PPI ≤5 years1.740.36, 8.360.4922.550.67, 9.770.171
 5 < PPI ≤10 years2.210.51, 9.630.2912.450.68, 8.820.170
 PPI >10 years7.651.96, 29.940.0036.371.92, 21.170.003
 Constant0.010.002, 0.070.010.002, 0.07

Results are based univariable and multiple regression analyses. aOther antibodies include nRNP, anti-PR3, Th, anti-SL, NOR90, Mi2, Ku and hnRNP. OR: odds ratio; ATA: anti-topoisomerase I antibody; ARA: anti-RNA polymerase III antibody; PPI: proton pump inhibitor.

In a multivariable analysis, duration of PPI exposure remained a significant predictor of increased risk for calcinosis development after adjusting for disease duration and autoantibody specificity. Compared with no exposure, PPI treatment for >10 years increased the odds of CAT >7-fold and the odds of CC nearly 8-fold (Table 2). There was no significant difference in the effect of individual PPI on CC or CAT after adjusting for duration of PPI exposure.

Fifty-three (24.7%) of the subjects were on steroid treatment at the time of clinical assessment. We found no association between calcinosis and current steroid treatment. One hundred and nine (50.7%) of the cohort were on immunosuppressive medication at the time of assessment. These included MMF, MTX, AZA, CYC and biologics. In addition, 55 subjects (25.6%) of the cohort were on HCQ.

Whilst there was no association between overall immunosuppressive treatment and calcinosis, there was a statistically significant association between HCQ treatment ever and CAT (OR 0.45, 95% CI: 0.24, 0.86; P = 0.015).

Discussion

This is the first study identifying an association between PPI use and calcinosis in SSc. This result adds to the broader association of tissue calcification reported with vascular disease, and more recently CPPD spectrum diseases. It is noteworthy that our study showed a dose–response effect of PPI on calcinosis in contrast to the heterogeneity reported in other studies that evaluated PPI-associated fractures and C. difficile infection.

PPI may promote tissue calcification via vascular endothelial cell injury. By binding to and inhibiting dimethylarginine dimethylaminohydrolase, the enzyme that degrades asymmetric dimethylarginine (ADMA), PPI elevate ADMA levels, and it has been shown that plasma ADMA levels correlate with coronary vascular calcification [13]. Moreover, PPI may activate pro-atherogenic pathways via modulation of the chemokine secretory phenotype of senescent coronary endothelial cells [14]. Further evidence for vascular injury was demonstrated in another report that lansoprazole disrupts endothelial lysosomal acidification, enzymatic activity and proteostasis, resulting in endothelial senescence [15]. However, it is unclear whether similar mechanisms may underlie the soft tissue calcification typically associated with SSc.

Although the discovery cohort demonstrated a trend towards association of PPI use and osteoporosis in this retrospective cohort, this association with osteoporosis remains controversial [16, 17]. Notably we identified a potential dose-dependent relationship between PPI and calcinosis in SSc patients. The results were unexpected and led us to seek confirmation of the association in an independent cohort. In our second cohort, 83.7% of scleroderma patients had persistent GORD and 84.7% had been on PPI, with 81.4% being on current PPI therapy. Our rates of GORD are similar to those quoted in other SSc cohorts and literature [18]. There are manifold reasons to treat reflux disease in the SSc cohort, including for symptomatic relief of GORD, and to prevent adverse effects of long-term acid reflux including strictures, Barrett’s oesophagus and the potential for microaspiration-associated epithelial lung injury [18, 19]. Often, standard dose PPI are not efficacious enough to adequately control disease symptoms and thus SSc patients are maintained on higher doses. The inverse association between HCQ and calcinosis is noteworthy given the pleiotropic effect of HCQ and therefore deserves further evaluation in a prospective study.

There are several proposed, but no validated, classification systems for assessment of calcinosis [8, 20]. In our study, we adopted a complementary composite clinico-radiological and time-dependent assessment tool specifically to assess overall burden of calcinosis. We envisaged that this user-friendly tool may be utilized in routine clinical practice.

We are cognizant of the limitations of this study. First, there may be bias in data collection as physicians were asked to indicate the site and size of calcinosis present by clinical assessment. Secondly, in the validation cohort recall bias may affect accuracy of the patients’ self-reporting on PPI use and calcinosis. However, medical records, clinical assessment and radiology where appropriate were reviewed to reduce this bias. We do not have radiographs available on all patients at sites of calcinosis to confirm the presence and size of calcinosis. Therefore, we may have missed some cases of subclinical calcinosis. For those patients with clinically identified calcinosis, 79.7% had X-rays available of at least one body site to confirm calcinosis presence and size, improving reliability. Finally, the issue of temporality and slow evolution of calcinosis may affect interpretation of the results.

Given the persistence of reflux symptoms in majority of patients with SSc, it behoves the clinician to continue PPI where necessary, accepting that our study does not ascribe causality to the apparent association shown in this study.

In conclusion, we confirm a significant association between PPI exposure with calcinosis in SSc and this observation may conceptually extend the global effect associated with vascular calcification reported in other diseases. These findings, if validated in larger independent cohorts, may influence clinical decision in management of severe reflux with judicious use of PPI in particular amongst those at risk of progressive calcinosis.

Funding: This work was supported by Versus Arthritis, Scleroderma and Raynaud’s UK, Rosetrees Trust and Royal Free Charity.

Disclosure statement: L.V.H. is supported jointly by an educational research grant by the Australian Rheumatology Association (ARA), Roche, Arthritis Australia and ARA Western Australia; C.P.D. declares consultancy relationships with Roche, Actelion, GlaxoSmithKline, Sanofi, Inventiva, Commonwealth Serum Laboratories Behring, Boehringer Ingelheim, Corbus and Union Chimique Belge. The other authors have declared no conflicts of interest.

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