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  • Research article
  • Open Access

Anti-CCP-positive patients with RA have a higher 10-year probability of fracture evaluated by FRAX®: a registry study of RA with osteoporosis/fracture

Contributed equally
Arthritis Research & Therapy201820:16

  • Received: 25 October 2017
  • Accepted: 5 January 2018
  • Published:

The Letter to this article has been published in Arthritis Research & Therapy 2018 20:63



Positive anticyclic citrullinated peptide (anti-CCP+) is associated with bone loss in patients with rheumatoid arthritis (RA). However, whether overall positivity or specific levels of anti-CCP are associated with prevalent fracture or a 10-year probability of fracture remains unclear.


This interim analysis of an RA registry was conducted at Chang Gung Memorial Hospital in Kaohsiung (CGMHK) for RA-related osteoporosis/fracture. Consecutive patients with RA who had visited the rheumatology clinic at CGMHK since September 1, 2014, and fulfilled the classification criteria of RA were enrolled. The demographics, disease duration, Disease activity in 28 joints based on erythrocyte sedimentation rate (DAS28-ESR), lifestyle, evidence of previous fracture, risk factors of fracture in the Fracture Risk Assessment Tool (FRAX®), and FRAX® score of each participant were collected. Anti-CCP, rheumatoid factor (RF), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and bone mineral density (BMD) were measured at enrollment. The patients were grouped by positivity or quartiles of anti-CCP level (I–IV).


Five hundred twenty-one patients with RA were enrolled through May 31, 2016. In total, 359 (68.9%) patients were anti-CCP+. Compared with anti-CCP− patients, anti-CCP+ patients had a significantly higher DAS28-ESR (p = 0.0001) and 10-year probability of major (15.0 [18.9] vs. 12.0 [15.3], p = 0.0461) or hip (5.0 [9.2] vs. 3.6 [8.2], p = 0.0118) fracture, but a significantly lower BMD of the FN (p = 0.0196). The rates of osteoporosis and previous fracture were comparable. There were 130, 127, 132, and 132 patients in groups I–IV, respectively. The DAS28-ESR was significantly different (p = 0.0001) among the groups and correlated to anti-CCP levels. The BMD and 10-year probability of major (p = 0.0067) and hip (p = 0.0013) fracture among the groups were also different.


Anti-CCP+ RA patients had a higher 10-year probability of major or hip fracture, independent of anti-CCP levels, and a lower BMD of the FN than anti-CCP− patients.


  • Rheumatoid arthritis
  • Anti-cyclic citrullinated peptide
  • FRAX


Osteoporosis and related fragility fracture [13] are well-known complications of RA. The chronic inflammation [4], immobilization/disability, medication [5], and specific genetic background [6] of RA had been postulated as contributing factors.

The anticyclic citrullinated peptide (anti-CCP) test first became commercially available in 2002. Subsequent to its application, the presence of anti-CCP in RA patients was associated with both progressive joint destruction [7] and comorbidities [8]. Once available, it became an RA diagnostic tool to help clinicians identify patients with RA with a poor prognosis [9, 10].

The 1994 World Health Organization operational definition of osteoporosis is a postmenopausal BMD ≥ 2.5 SD below the mean value for healthy young women. As BMD decreases, the relative risk for fracture increases. Thus, low BMD is an effective means of identifying individuals at risk of fracture. However, several studies have illustrated that osteoporosis is not the sole factor for predicting fragility fracture [11, 12]. Measures other than BMD can identify individuals at a high fracture risk. In 2008, the Fracture Risk Assessment Tool (FRAX®) ( was developed to assess the 10-year probability of fracture.

Although anti-CCP+ status is associated with low BMD in patients with RA [13], whether anti-CCP positivity is associated with previous fracture or a 10-year probability of fracture calculated by FRAX® in RA patients has not been delineated. In the present investigation, we aimed to explore the relationships between anti-CCP, previous fracture, and FRAX-based 10-year probability of fracture in established RA patients.


Study population and design

This interim analysis of RA-related osteoporosis/fracture in an RA registry was conducted at CGMHK. In the registry, consecutive RA patients who had visited the rheumatology clinic at CGMHK since September 1, 2014, and fulfilled the 1987 American College of Rheumatology (ACR) revised criteria [14] or the 2010 ACR/European League Against Rheumatism classification criteria for RA [9] were enrolled. Those who were < 20 years of age, had any malignancy within the past 5 years, had an estimated life expectancy < 3 years, or were unwilling to participate in the study were excluded from the registry program.

Clinical assessments included demographic data (age, height, weight, body mass index [BMI]), presence and/or levels of anti-CCP, and RF. Disease duration was defined as the time that elapsed between the onset of first disease-related symptoms and enrollment. RA activity was quantified by using a health assessment questionnaire and disease activity score was assessed using the Disease Activity Score in 28 joints based on ESR  (DAS28-ESR). Information on current medications at the time of registration, including disease-modifying antirheumatic drugs (DMARDs), antiosteoporosis regimens, glucocorticoids, and biologic disease-modifying antirheumatic drugs (bDMARDs), was collected. In addition, lifestyle, evidence of previous fragility fracture (history or radiographic), and risk factors for fragility fracture based on the FRAX® tool were recorded. The 10-year probability of major and hip fractures, calculated using the FRAX® tool with FN BMD (Taiwan version), of each patient was collected as well. Anti-CCP, ESR, CRP, and BMD were measured at enrollment using a dual-energy X-ray absorptiometry scanner (Delphi A; Hologic Corp., Waltham, MA, USA) for hip (total), FN, and lumbar spine (L1–L4) areas. All procedures were performed by International Society for Clinical Densitometry-certified technicians in accordance with the manufacturer’s standardized procedures. Anteroposterior radiographs of the thoracolumbar spine as well as kidney, ureter, and bladder x-rays were obtained at enrollment for each participant to evaluate any radiographic spinal fractures.

The participants were categorized into two groups according to anti-CCP-positive (anti-CCP+) or anti-CCP− status and into four groups (I–IV) according to anti-CCP level quartiles. The participants provided written informed consent and the Regional Ethical Review Board of CGMHK approved the study (104-3530B), which was performed according to the principles of the Helsinki declaration.

Laboratory measurements

RF and anti-CCP were determined by immunonephelometry using a BN ProSpec System (Siemens Healthcare, Erlangen, Germany) as well as a second-generation Phadia ImmunoCAP 250 EliA CCP assay (Phadia, Freiburg, Germany) according to the manufacturers’ recommendations. A positive result for anti-CCP was above a cutoff value of 7 U/ml, whereas that for RF was a value > 15 IU/ml. CRP and ESR were measured by using nephelometric and Westergren methods, respectively.

Statistical analyses

Data were checked for normality. Anti-CCP values were used as continuous variables and additionally categorized into quartiles. If the baseline characteristics had a skewed distribution, nonparametric methods were used for analysis. Independent groups were compared using the Mann-Whitney U test for continuous variables and the chi-square test for dichotomous variables. For comparing characteristics between anti-CCP quartiles, we used analysis of variance or the Kruskal-Wallis H test for comparing means or medians, respectively. Normally distributed continuous variables are expressed as mean ± SD, and nonnormally distributed variables are expressed as median (IQR). All analyses were performed using R version 3.1.2 software (R Foundation for Statistical Computing, Vienna, Austria). The level of significance was set at 0.05.


Demographic and clinical characteristics

Table 1 shows the demographic and clinical characteristics of the 521 patients. A total of 359 (68.9%) patients were anti-CCP+. The median (IQR) age was 59 (14) years, BMI was 23.1 (5) kg/m2, and disease duration was 11 (13) years. The study population consisted mainly of women (n = 447; 85.8%), of whom 80.3% were postmenopausal. The median (IQR) menopause age was 50 (2) years.
Table 1

Participants’ demographics and clinical characteristics




(≥7 U/ml)


(<7 U/ml)

p Value

No. of subjects (%)a

521 (100)

359 (68.9)

162 (31.1)


Female sex, n (%)a

447 (85.8)

306 (85.24)

141 (87.04)


Menopause, n (%)a

359 (80.3)

252 (82.4)

107 (75.9)


Menopause, yearsb

50.0 (2.0)

50.0 (2.0)

50.0 (2.0)


Age, yearsb

59.0 (14.0)

60.0 (14.0)

58.0 (14.0)


BMI,b kg/m2

23.1 (5.0)

23.0 (5.1)

23.1 (4.3)


Symptom to diagnosis, yearsb

2.0 (6.0)

n = 508

2.0 (6.0)

n = 159

2.0 (6.0)

n = 349


Disease duration, yearsb

11.0 (13.0)

n = 491

12.0 (13.0)

n = 335

10.5 (13.5)

n = 156


Comorbidity, n (%)a

315 (60.5)

213 (59.3)

102 (63.0)


Anti-CCP, U/ml, mean (SD)b

62.0 (294.9)

183.0 (283.0)

0.9 (1.1)


RF+, n (%)a

347 (67.1)

n = 517

306 (86.2)

n = 355

41 (25.3)

n = 162


RF, IU/mlb

56.6 (189.4)

n = 517

129.0 (288.9)

n = 355

10.6 (6.8)

n = 162


ESR, mm/h b

17.0 (22.0)

19.0 (24.0)

13.5 (18.0)


CRP, mg/L b

2.5 (7.7)

n = 519

3.2 (8.6)

n = 358

1.7 (5.6)

n = 161



3.1 (1.7)

n = 519

3.2 (1.7)

n = 358

2.8 (1.4)

n = 161


bDMARD, n (%)a

94 (18.0)

71 (19.8)

23 (14.2)


Glucocorticoid users, n (%)a

452 (86.8)

317 (88.3)

135 (83.3)


Alcohol ≥ 3 U/day, n (%)a

6 (1.2)

4 (1.1)

2 (1.2)


Current smoker, n (%)a

35 (6.7)

30 (8.4)

5 (3.1)


Fall in the previous year, n (%)a

97 (19.1)

n = 507

69 (19.8)

n = 348

28 (17.6)

n = 159


Parent fractured hip, n (%)a

37 (7.1)

25 (7.0)

12 (7.6)


BMD, g/cm2

 Spine (L1–L4)b

0.858 (0.209)

n = 501

0.850 (0.210)

n = 343

0.883 (0.187)

n = 158


 Hip (total)c

0.780 ± 0.146

n = 497

0.774 ± 0.145

n = 342

0.794 ± 0.149

n = 155



0.620 (0.147)

n = 497

0.614 (0.144)

n = 342

0.643 (0.142)

n = 155


Osteoporosis,d n (%)a

150 (29.47)

n = 509

111 (31.7)

n = 350

39 (24.5)

n = 159


Previous fracture, n (%)a

97 (18.6)

67 (18.7)

30 (18.5)


Current antiosteoporosis, n (%)a

104 (20.0)

27 (16. 7)

77 (21.5)



14.0 (17.2)

15.0 (18.9)

12.0 (15.3)



4.5 (8.5)

5.0 (9.2)

3.6 (8.2)


Abbreviations: BMI Body mass index, Anti-CCP Anticitrullinated protein antibodies, RF Rheumatoid factor, ESR Erythrocyte sedimentation rate, CRP C-reactive protein, DAS28-ESR Disease Activity Score in 28 joints based on erythrocyte sedimentation rate, bDMARD Biologic disease-modifying antirheumatic drug, BMD Bone mineral density, FN Femoral neck

a Absolute number (percent)

b Median (IQR)

c Mean ± SD

d FN T-score less than or equal to −2.5

e Ten-year probability of major fracture

f Ten-year probability of hip fracture

Compared with anti-CCP− patients, anti-CCP+ patients had significantly higher levels of anti-CCP (U/ml) (183 [283] vs. 0.9 [1.1], p < 0.0001), RF (IU/ml) (129 [288.9] vs. 10.6 [6.8], p < 0.0001), ESR (mm/h) (19 [24] vs. 13.5 [18.0], p < 0.0001), CRP (mg/L) (3.2 [8.6] vs. 1.7 [5.7], p = 0.0005), DAS28-ESR (3.2 [1.7] vs. 2.8 [1.4], p = 0.0001), and higher RF+ rate (86.2% vs. 25.3%, p < 0.0001). The two groups were comparable in terms of demographics, rate of antiosteoporosis regimens, glucocorticoids and bDMARD, and comorbidities.

Clinical characteristics pertinent to osteoporosis and fracture in the study population

The prevalence of osteoporosis (FN; T-score less than or equal to −2.5) and rate of prevalent fracture were comparable between the anti-CCP+ and anti-CCP− groups (31.7% vs. 24.5%, p = 0.0993; and 18.7% vs. 18.5%, p = 0.9687). Compared with anti-CCP− patients, anti-CCP+ patients had a significantly lower FN BMD (g/cm2) level (0.614 [0.144] vs. 0.643 [0.142], p = 0.0196) (Fig. 1a), as well as a significantly higher smoking rate (8.4% vs. 3.1%, p = 0.0261). In terms of 10-year probability of major and hip fractures defined using the FRAX® tool, anti-CCP+ patients demonstrated a significantly higher probability than anti-CCP− patients (15.0 [18.9] vs. 12.0 [15.3, p = 0.0461) and (5.0 [9.2] vs. 3.6 [8.2], p = 0.0118), respectively (Table 1, Fig. 1b).
Fig. 1
Fig. 1

Association between positivity of anti-citrullinated protein antibodies (anticyclic citrullinated peptide-positive [anti-CCP+] or anti-CCP−) and systemic bone mineral density (a) or 10-year probability of fracture (b) in RA patients. FN Femoral neck

Clinical characteristics of the four subgroups (anti-CCP level quartiles)

There were 130, 127, 132, and 132 patients in groups I–IV, respectively (Table 2). Age, sex, rate of menopause, age at menopause, BMI, time from symptoms to diagnosis, disease duration, rate of antiosteoporosis regimens/glucocorticoids/bDMARDs, and comorbidities were balanced between the groups, whereas the smoking rate (p = 0.0075) was significantly different among groups (Table 2).
Table 2

Participants’ clinical characteristics according to anticyclic citrullinated peptide quartile


Group (anti-CCP U/ml)



≤2 (Q1)

(n = 130)


>2–60 (Q2)

(n = 127)


>60–290 (Q3)

(n = 132)


≥290 (Q4)

(n = 132)

p Value

Anti-CCP, U/mla

0.7 (0.7)

20.0 (35.2)

140.0 (108.0)

340.0 (34.0)


Female, n (%)a

114 (87.7)

111 (87.4)

112 (84.9)

110 (83.3)


Age, yearsb

57.0 (14.0)

60.0 (14.0)

60.0 (13.5)

61.0 (14.0)


BMI, kg/m2b

23.3 (4.2)

22.6 (5.0)

23.0 (5.4)

23.8 (5.1)


Disease duration, yearsb

11.0 (13.0)

n = 126

12.0 (13.0)

n = 121

12.0 (15.0)

n = 121

12.0 (11.0)

n = 123


Symptom to diagnosis, yearsb

10.0 (8.5)

n = 127

10.0 (8.0)

n = 127

9.0 (10.5)

n = 132

10.0 (11.0)

n = 131



2.7 (1.4)

n = 129

3.1 (1.6)

3.0 (1.6)

n = 131

3.6 (2.0)


RF+, n (%)a

22 (16.9)

95 (74.8)

111 (86.1)

n = 129

119 (90.8)

n = 131


RF, IU/mlb

10.3 (1.3)

88.8 (205.5)

125.0 (256.3)

n = 129

146.0 (469.0)

n = 131


ESR, mm/hb

12.5 (14.0)

18.0 (26.0)

17.0 (20.0)

23.0 (34.0)


CRP, mg/Lb

1.4 (5.7)

n = 129

3.1 (8.2)

3.1 (8.6)

3.2 (9.2)

n = 131


Current smoking, n (%)a

4 (3.1)

6 (4.7)

11 (8.3)

14 (10.6)


Glucocorticoid users, n (%)a

107 (82.3)

113 (89.0)

117 (88.6)

115 (87.1)


Comorbidity, n (%)a

80 (61.5)

83 (65.4)

75 (56.8)

77 (58.3)


Fall in previous year, n (%)a

22 (17.3)

n = 127

26 (20.6)

n = 126

28 (22.1)

n = 127

21 (16.5)

n = 127


BMD, g/cm2

 Spine (L1–L4)a

0.893 (0.195)

n = 128

0.826 (0.211)

n = 123

0.854 (0.223)

n = 122

0.856 (0.180)

n = 128


 Hip (total)c

0.807 ± 0.148

n = 124

0.741 ± 0.122

n = 122

0.786 ± 0.148

n = 125

0.786 ± 0.157

n = 126



0.651 (0.149)

n = 124

0.602 (0.146)

n = 122

0.615 (0.145)

n = 125

0.6145 (0.139)

n = 126



fracture, n (%)a

20 (15.4)

28 (22.1)

23 (17.4)

26 (19.7)


Osteoporosis,a,d n (%)

27 (21.1)

n = 128

45 (36.0)

n = 125

38 (29.9)

n = 127

40 (31.0)

n = 129


Current anti-osteoporosis, n (%)a

18 (13.9)

34 (26.8)

25 (19.0)

27 (20.6)



11.0 (13.2)

17.0 (19.6)

15.0 (17.4)

14.0 (19.7)



3.1 (6.3)

6.1 (9.8)

4.6 (9.0)

4.9 (9.4)


Abbreviations: BMI Body mass index, Anti-CCP Anticitrullinated protein antibodies, RF Rheumatoid factor, ESR Erythrocyte sedimentation rate, CRP C-reactive protein, DAS28-ESR Disease Activity Score in 28 joints based on erythrocyte sedimentation rate, BMD Bone mineral density, FN Femoral neck

a Absolute number (percentage)

b Median (interquartile range)

c Mean ± SD

d FN T-score less than or equal to −2.5

e Ten-year probability of major fracture

f Ten-year probability of hip fracture

Regarding variables related to RA disease activity, the rate of RF+ (p < 0.0001) and levels of RF (p < 0.0001), ESR (p < 0.0001), CRP (p = 0.0012), and DAS28-ESR (p = 0.0001) were significantly different among the groups and correlated with anti-CCP levels. BMD at the spine (L1–L4) (p = 0.0394), hip (total) (p = 0.0041), and FN (p = 0.0033) differed significantly among the groups (Table 2), whereas the prevalence of osteoporosis, rate of previous fracture, and number of falls in the previous year were comparable. The 10-year probabilities of major fracture (p = 0.0067) and hip fracture (p = 0.0013) among the groups were significantly different (Table 2).

A subgroup analysis revealed that the BMD values at the spine (L1–L4) (p = 0.026), hip (total) (p = 0.002), and FN (p = 0.002) in group II, but not in group III or IV, were significantly lower than those in group I (Fig. 2a–c). In addition, there was a significantly higher 10-year probability of major fracture (p = 0.005) (Fig. 3a) in group II than in group I. The 10-year probabilities of hip fracture in group II (p = 0.001), III (p = 0.034), and IV (p = 0.035) (Fig. 3b) were significantly higher than that of group I.
Fig. 2
Fig. 2

Bone mineral density at the spine (L1–L4) (a), hip (total) (b), and FN (c) in subgroups (I–IV) of RA patients stratified according to quartiles of anti-CCP levels. FN femoral neck

Fig. 3
Fig. 3

Ten-year probability of major (a) and hip (b) fracture in subgroups (I–IV) of RA patients stratified according to quartiles of anti-CCP levels


Our investigation revealed that the anti-CCP levels were correlated with RA disease activity. Anti-CCP+ patients with RA had a significantly lower BMD level at the FN than anti-CCP− RA patients. The BMD at all sites was significantly different among groups I–IV, although the subgroup analysis revealed that the difference occurred only between groups I and II (Table 2, Fig. 1a). Neither anti-CCP positivity nor anti-CCP level was correlated with the prevalence of osteoporosis or of fracture among patients with RA. The 10-year probability of fracture, either major or hip, in anti-CCP+ RA patients was significantly higher than that in anti-CCP− RA patients, although the 10-year probability of fracture was not correlated with anti-CCP level.

Guler et al. first reported that anti-CCP+ RA patients had lower BMD than anti-CCP− RA patients at the FN but not in the spine [13]. In addition, Orsolini et al. illustrated that anti-CCP+ patients not only had a higher prevalence of osteopenia/osteoporosis but also had a negative titer-dependent effect on BMD at the FN but not at the lumbar spine in patients with established RA [15]. A recent publication by Wysham et al. also demonstrated that a high positive anti-CCP level and appendicular lean muscle mass were associated with FN BMD in established RA [16]. Llorente et al. reported that patients with early RA with anti-CCP+ had lower BMD than the anti-CCP− control subjects at the lumbar spine, FN, and hip [17]. Bugatti et al. also demonstrated that anti-CCP+ patients with early untreated RA had lower BMD than their anti-CCP− counterparts at the lumbar spine and hip [18]. Similar to the findings in studies on patients with established RA [13, 15, 16], the anti-CCP+ patients in our cohort had a significantly lower BMD than anti-CCP− patients at the FN but not at the lumbar spine or hip. However, we did not see a titer-dependent correlation between anti-CCP levels and BMD at all sites (Table 2).

Both previous studies [17, 18] pertaining to the association of anti-CCP and BMD in patients with early RA revealed a negative effect of anti-CCP+ on BMD at all measured sites, a finding that is inconsistent with those of the present study and other series on established RA [13, 15]. There are several possible explanations for the different observations between the studies. The first one is the differences in the enrolled populations in the aforementioned studies. All regimens, including glucocorticoids [5], conventional DMARDs [19], and bDMARDs [20, 21], used to treat RA revealed a BMD-modulating effect. After long-term treatment of patients with established RA, BMD may vary depending on which regimen or how long the regimens are used. In addition, the disease activity (DAS28-ESR) in the present series was 3.1 (1.7), which might differ from that of the Bugatti et al. study [18]. Because it has been postulated that higher disease activity predisposes patients with RA to bone loss [22], the difference in disease activity between the study populations may confer the divergent effect on the BMD. Regardless, it appears conceivable that anti-CCP+, especially when highly positive [15, 16], in either patients with early or established RA is associated with lower BMD, especially at the FN, than in their anti-CCP− counterparts.

The causes of the higher prevalence of osteoporosis in patients with long-term RA than in the general population are multifactorial. In addition, why anti-CCP positivity or levels are associated with low BMD in patients with RA is not fully understood. It seems most plausible that anti-CCP can mediate osteoclast differentiation and activity [23, 24] that may result in bony erosion and bone loss in patients with RA.

Similarly to osteoporosis, the causes of the higher prevalence of fragility fracture in patients with long-term RA than in the general population are multifactorial. The prevalence of RA-associated fragility fracture is reportedly 13–27% [3, 25, 26]. The rate of previous fracture, as defined by the FRAX® tool, in our series was 18.6%. In the present investigation, a heterogeneous and real-world RA population composed of men and women of different ages, serotypes, and disease activities was enrolled. In addition, both clinical and radiological morphometric vertebral fractures were included, unlike previous studies in which either vertebral fractures [26] or hip fractures [27] were counted. These discrepancies in the populations enrolled and the method of prevalent fracture calculation may explain the differences between series in the prevalence of fractures.

Mohammad et al. found that a longer duration of RA, markers of disease activity, and disease severity were risk factors for asymptomatic vertebral fractures [26]. In addition, they reported that anti-CCP+ status was an independent risk factor for asymptomatic vertebral fracture. Although we found that a higher anti-CCP level was associated with higher disease activity (DAS28-ESR) and higher acute-phase reactant levels (ESR, CRP) (Table 2) in our series, we did not see an association between anti-CCP positivity or levels and previous fractures. The present investigation and that of Mohammad et al. were cross-sectional studies. Whether anti-CCP is associated with future new incident fractures needs further investigation.

Anti-CCP and 10-year probability of fracture

Although there are many fracture risk assessment tools available worldwide, the most widely used in Taiwan is the FRAX® tool (Taiwan version). Its use can help in estimation of the 10-year absolute risk of major and hip fractures among individuals ≥ 40 years old. The FRAX® tool includes parameters such as sex, age, BMI, previous fracture, smoking, glucocorticoid use, diagnosis of RA, and BMD. However, shortcomings exist for rheumatologists using the FRAX® tool to evaluate the risk of fracture specifically for RA patients, because the tool does not include other well-known risk factors of fracture for patients with RA, such as disease activity or duration. Despite its shortcomings, this tool has been validated in several countries, except in the United Kingdom [28], for RA patients [29, 30].

Using the FRAX® tool, we found that anti-CCP+ RA patients had a higher risk of 10-year probability of major or hip fracture than anti-CCP− RA patients (Table 1, Fig. 1b). In addition, anti-CCP+ RA patients had a higher 10-year probability of hip fracture than anti-CCP− RA patients at all anti-CCP levels (Table 2, Fig. 3b). The reason why anti-CCP+ is associated with an elevated 10-year probability of fracture in our cohort is twofold. First, in terms of risk factors in the FRAX® tool, we found the rates of smokers and FN BMD in anti-CCP+ patients were significantly higher than those of anti-CCP− patients. Second, other risk factors, including age, previous fracture, and glucocorticoid use, in anti-CCP+ patients were numerically, albeit not significantly, higher than in anti-CCP− patients (Table 1). In addition, we found that if the factors of FN BMD and smoking were excluded from the calculation of FRAX® score, anti-CCP+ RA patients still had significantly higher FRAX® scores (hip) (data not shown) than their anti-CCP− counterparts. This suggests that the summation effect of other risk factors can explain the differences in the FRAX® score (hip) between the two groups as well.

Regarding the relationship between anti-CCP level and fracture risk, only the risk of major fracture was higher in group II than in group I (p = 0.005) (Fig. 3a), whereas the risks of hip fracture were significantly higher in groups II–IV than in group I. The smoking rate was proportional to the anti-CCP levels (Table 2). However, BMD was not proportional to the anti-CCP levels. The elevated risk of major fracture in group II and the rates of hip fracture in groups II–IV can also been explained by the summation effect of other risk factors in the FRAX® tool. These findings suggest that, in the future, those using the FRAX® tool to evaluate the fracture risk for patients with RA should consider the positivity/titer of anti-CCP, because it has been suggested for adjustment of FRAX® score by doses of glucocorticoid [31].

The disease activity markers of ESR, CRP, and DAS28-ESR were significantly different between patients with anti-CCP+ and anti-CCP− status and among groups I–IV. The marker levels were proportional to the anti-CCP levels in our cohort. Whether anti-CCP-associated higher disease activity in patients with RA is related to the long-term risk of fracture requires further validation studies.

The present study has limitations. This investigation is a cross-sectional study of patients with established RA. Although reversion from anti-CCP+ to anti-CCP− status was not observed in a 2-year observational study [32], the anti-CCP levels are subject to treatment changes in patients with RA [33, 34]. Whether the positivity or levels of anti-CCP after long-term treatment (10 years) in our cohort were changed is unknown. However, because the anti-CCP+ rate (68.9%) of our cohort was compatible with that of a previous study [35], it seems that long-term treatment in our cohort would not change the positivity of anti-CCP. Hence, the application of anti-CCP in the prediction of 10-year probability of fracture in established RA appears reliable. In addition, the application of the FRAX® tool for estimating fracture risk is limited to populations aged ≥ 40 years. In addition, anti-CCP positivity, disease activity, and disease duration were not included in the FRAX® tool in the evaluation of 10-year probability of fracture for RA patients. Whether the application of anti-CCP positivity could be used to estimate the 10-year probability of fracture by using the FRAX® tool with younger patients with RA warrants further investigation. Finally, the heterogeneity of our cohort fulfilled the 1987 or 2010 ACR classification criteria, which could be considered another drawback of our study. Whether the sensitivity of using anti-CCP for estimating the 10-year probability of fracture for RA patients would be the same under different criteria is unknown.


Anti-CCP+ RA patients had a lower FN BMD than anti-CCP− RA patients, and the BMD at the measured sites was not related to anti-CCP levels in RA patients. By using the FRAX® tool, we found that anti-CCP + RA patients had a higher 10-year probability of major or hip fracture independent of anti-CCP level. Studies designed to explore whether there is a difference in incident fractures between anti-CCP+ and anti-CCP− RA patients or whether anti-CCP should be incorporated into the updated version of the FRAX® tool for RA are needed to determine the real impact of our findings.




American College of Rheumatology


Anticyclic citrullinated peptide


Biologic disease-modifying antirheumatic drug


Bone mineral density


Body mass index


Chang Gung Memorial Hospital in Kaohsiung


C-reactive protein


Disease Activity Score in 28 joints based on erythrocyte sedimentation rate


Disease-modifying antirheumatic drug


Erythrocyte sedimentation rate


Femoral neck


Fracture Risk Assessment Tool


Rheumatoid arthritis


Rheumatoid factor



We appreciate the help of with the statistical analysis provided by Su-Chin Lin.


TTC received the funding for this work through grant CMRPG8E1221 from Chang Gung Memorial Hospital (, which sponsored the cost of collecting, inputting, and processing the data as well as the publication of this article. The funder had no role in the study design, data analysis, decision to publish, or manuscript preparation.

Availability of data and materials

The datasets generated and/or analyzed during the present study are not publicly available, owing to restrictions by our organization, but they are available from the corresponding author on reasonable request.

Authors’ contributions

TTC and HML made substantial contributions to study conception and design, acquisition of data, and analysis and interpretation of data; were involved in drafting the manuscript and revising it critically for important intellectual content; and gave final approval of the version to be published. SFY, FMS, and YCC made substantial contributions to collection and analysis of data, were involved in revising manuscript content, and gave final approval of the version to be published. BYJS, CYH, JFC, WCC, and CHK made substantial contributions to collection of data, were involved in revising the manuscript critically for important intellectual content, and gave final approval of the version to be published. All authors participated sufficiently in the work to take public responsibility for appropriate portions of the content and agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The study was approved by the Regional Ethical Review Board of CGMHK (104-3530B), and the patients gave written consent according to the Declaration of Helsinki.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

Kaohsiung Chang Gung Memorial Hospital, No. 123, Dapi Road, Niao-Song District, Kaohsiung, Taiwan, Republic of China
Chang Gung University College of Medicine, Kaohsiung, Taiwan


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© The Author(s). 2018