Research article | Open | Open Peer Review | Published:
Influence of arthritis and non-arthritis related factors on areal bone mineral density (BMDa) in women with longstanding inflammatory polyarthritis: a primary care based inception cohort
BMC Musculoskeletal Disordersvolume 11, Article number: 106 (2010)
The aim of this analysis was to determine the relative influence of disease and non-disease factors on areal bone mineral density (BMDa) in a primary care based cohort of women with inflammatory polyarthritis.
Women aged 16 years and over with recent onset inflammatory polyarthritis were recruited to the Norfolk Arthritis Register (NOAR) between 1990 and 1993. Subjects were examined at both baseline and follow up for the presence of tender, swollen and deformed joints. At the 10th anniversary visit, a sub-sample of women were invited to complete a bone health questionnaire and attend for BMDa (Hologic, QDR 4000). Linear regression was used to examine the association between BMDa with both (i) arthritis-related factors assessed at baseline and the 10th anniversary visit and (ii) standard risk factors for osteoporosis. Adjustments were made for age.
108 women, mean age 58.0 years were studied. Older age, decreasing weight and BMI at follow up were all associated with lower BMDa at both the spine and femoral neck. None of the lifestyle factors were linked. Indices of joint damage including 10th anniversary deformed joint count and erosive joint count were the arthritis-related variables linked with a reduction in BMDa at the femoral neck. By contrast, disease activity as determined by the number of tender and or swollen joints assessed both at baseline and follow up was not linked with BMDa at either site.
Cumulative disease damage was the strongest predictor of reduced femoral bone density. Other disease and lifestyle factors have only a modest influence.
Data from hospital-clinic based studies suggest that patients with rheumatoid arthritis (RA) have a reduction in areal bone mineral density (BMDa) at both the hip and spine compared to non-RA controls [1–4]. Such studies of patients with established disease will tend to exclude subjects with less marked disease who may be managed in primary care, either from the outset or discharged from specialist care early during the disease course. We studied a sample of women ten years prospectively, recruited following the onset of inflammatory arthritis presenting to primary care, to determine the relative influence of both arthritis and non-arthritis related factors on BMDa at the spine and femoral neck 10 years after disease onset.
The subjects included in this analysis were recruited to the Norfolk Arthritis Register (NOAR) between 1990 & 1993, a primary care based inception cohort of adults with early inflammatory arthritis . At baseline, subjects were examined by a trained research nurse for the presence of tender, swollen and deformed joints and had blood taken for c-reactive protein (CRP) and rheumatoid factor measurement. They also completed the Health Assessment Questionnaire (HAQ) . Subjects are followed prospectively including assessments at 5, 7 and 10 years. Radiographs of the hands were performed at 5 years on all subjects who consented, and then again at 10 years if erosive change was present on the 5 year radiograph. Radiographs were assessed according to the method of Larsen  by two independent observers. Overall scores were compared between the observers and if the scores differed by more than 10%, the films were re-examined by both observers jointly. A third person adjudicated if there was disagreement. A Larsen score of two or more for an individual joint indicated the presence of erosive change. Subjects are asked additionally at these visits about use of steroids and disease modifying anti-rheumatic drugs (DMARD's). NOAR subjects continue to attend for their 10th anniversary assessment. A subset (108) of those who were among the first to attend agreed to take part in a bone health survey which comprised an interviewer administered questionnaire and bone densitometry at the spine and femoral neck. The questionnaire was derived from a previously validated questionnaire on osteoporosis lifestyle risk factors  and included questions concerning:
level of physical activity undertaken at work or home during three periods of adult life: 15-25 years, 25-50 years and 50 years and over (response set = light/moderate/heavy/very heavy)
time spent walking or on a bicycle out of doors each day (response set = none/< 30 minutes/30 minutes to 1 hour/> 1 hour)
if ever smoked, the number of cigarettes smoked a day
alcohol consumption in the previous year (response set = every day/5-6 days per week/3-4 days per week/1-2 days per week/less than once a week/not at all).
It also included questions about age at menarche and menopause and use of both the oral contraceptive pill and hormone replacement therapy. The revised questionnaire was not formally validated. Height and weight were measured using standard equipment and body mass index (BMI) calculated. Bone densitometry (Hologic, QDR 4000) was performed at the spine and femoral neck sites. All aspects of the study were in compliance with the Helsinki Declaration and approved by the Norfolk Research Ethics Committee.
Linear regression was used to determine the association between bone mineral density (BMDa) at the spine and hip and the various arthritis and non-arthritis related factors with BMDa as the dependent variable and adjustments made for age. We looked at the association between arthritis related factors assessed at baseline and BMDa, and arthritis related factors assessed at 10 years and BMDa. We looked also at cumulative disease activity by combining clinical data available from the preceding assessment periods (baseline, 5, 7 and 10 years) and categorising these into tertiles. For CRP we categorised the number of times individuals had an elevated CRP level (assessed at baseline, 5 and 10 years). The results are expressed as β coefficients and 95% confidence intervals (CI). Statistical analysis was performed using STATA version 9.2 (StataCorp, 2007).
A total of 108 women (mean age 58.0 years, standard deviation [SD] = 13.2) were included in the analysis. Mean height was 1.6 m, weight 57.5 Kg and body mass index 21.6 Kg/m2. Mean age at menarche was 12.8 years. Of the 38 women who had reached natural menopause, the mean age at menopause was 48.0 years. Mean BMDa was 0.76 g/cm2 (SD = 0.11) at the femoral neck and 0.96 g/cm2 (SD = 0.14) at the lumbar spine respectively. Fifty three percent of subjects reported walking or cycling for 1/2 an hour or more daily, while 47%, 61% and 49% of subjects reported undertaking heavy or very heavy physical activity between the ages of 15-25, 25-50 and 50 years and over respectively. Fifty one percent of subjects reported ever having smoked, while 23% reported consuming alcohol on more than one day per week. Sixty percent reported taking the oral contraceptive pill in the past and 39% were currently taking hormone replacement therapy (HRT). The median (interquartile range) swollen and tender joint counts at baseline were 7 (3-15) and 9 (4-19) and at 10 years were 2 (0-6) and 2 (0-8) respectively. The median (interquartile range) deformed joint count at 10 years was 2 (0-7). Mean CRP level at baseline and 10 years was 14.1 and 12.3 mg/L respectively. 71 (66%) subjects satisfied the American College of Rheumatology (ACR) tree criteria at baseline and 86 (80%) at 10 years. Forty eight percent of subjects reported having ever taken DMARDs and 18% reported having taken steroids during follow up. Of those who had hand radiographs performed at the 10th anniversary visit (n = 36) the median (interquartile range) number of erosive joints was 6 (3-14).
Determinants of BMDa
As expected BMDa decreased with age (per year) at both the femoral neck (β coeff = -0.003; 95%CI -0.005, -0.002) and lumbar spine (β coeff = -0.004; 95%CI -0.006, -0.002). The influence of non-arthritis related factors on BMDa are presented in Table 1. Increasing weight (per 10 kg) was associated with an increase in BMDa at both the femoral neck (β coeff = 0.030;95%CI 0.004, 0.056) and lumbar spine (β coeff = 0.034;95%CI 0.002, 0.066). Similarly, BMI was associated with a significant increase in BMDa at both measurement sites. By contrast there was no association between physical activity, either lifetime or current, as determined by walking or cycling daily, with BMDa at either the femoral neck or spine. Similarly there was no association between BMDa and smoking or alcohol consumption. Increasing age at menarche (per year) was associated with a reduction in BMDa at both the femoral neck (β coeff = -0.017; 95%CI -0.032, -0.002) and lumbar spine (β coeff = -0.018; 95%CI -0.036, -0.001). Age at natural menopause, use of the oral contraceptive pill and HRT did not appear to be linked with BMDa at either site.
The influence of arthritis-related factors assessed at both baseline and 10 years on BMDa are shown in Table 2. Disease activity expressed as active (swollen, tender or both) counts assessed either at baseline or at the 10th anniversary visit showed no association with BMDa. Those with a CRP greater than 10 either at baseline or follow up had higher BMDa (at the 10th anniversary) at both the spine and femoral neck though the confidence intervals embraced unity. Cumulative disease activity (swollen, tender joint counts) were not linked with BMDa (data not shown). For CRP, compared to those with CRP levels < 10 throughout, those who had elevated levels on one, or two or more occasions had higher BMDa at the femoral neck (p < 0.05). DMARD use and steroid therapy (both ever and also when expressed as duration of time on therapy), were not linked with BMDa at either site. Rheumatoid factor assessed either at baseline or 10 years was unrelated to BMDa. Disability as measured using HAQ was not linked with BMDa. Not all the subjects in this cohort satisfied ACR tree criteria for RA, either at baseline or by the 10th anniversary. However stratification by 'RA' status also showed no association with BMDa. By contrast measures of structural damage were linked. Thus increased deformed joint count, as a measure of cumulative joint damage was linked with a reduction in BMDa at both sites. The effect was large, equivalent to approximately a 0.5 SD reduction for those above the lowest tertile of joint count and this was significant at the femoral neck. In the sub-sample of women with hand radiographs available those in both the mid and upper tertile of erosive joint count had lower BMDa at both the hip and spine than those in the lower tertile though the result was significant for those in the middle tertile only.
In this inception cohort of women presenting to primary care with inflammatory polyarthritis there were several interesting findings relating to BMDa assessed after 10 years. Standard osteoporosis risk factors apart from age and body mass had relatively little impact. Of the disease factors considered those relating to activity and disability were not predictive of bone loss, whereas measures of joint damage were strongly predictive, especially at the femoral neck.
There are several limitations which need to be considered in interpreting the results. The subjects were deliberately selected to include all cases of inflammatory polyarthritis and not restrict inclusion to those with RA. Indeed we have shown that assigning criteria for RA is unstable in this setting during the first 5 years of disease . As shown above however the results are stable independent of RA status. In this study we looked at BMDa in a subset of subjects attending their 10th anniversary visit. It is possible that those who had BMDa performed may have differed from those who did not. However, those scanned did not differ in terms of joint count (swollen joint count mean = 3.9 vs 3.1; p = 0.11), HAQ score (mean = 1.02 vs 1.04; p = 0.82), or CRP level (mean = 12.3 mg/L vs 13.3; p = 0.59), from those who did not providing some reassurance against selection bias though we can not exclude this. Hand radiographs at the 10th anniversary were only available on a proportion of the subjects. In order to have a 10th anniversary radiograph, erosive change had to be present on the 5th anniversary radiograph, so it is likely that these subjects had more severe disease. Indeed we found these subjects to be slightly older, have more joint involvement, higher CRP levels and HAQ score compared to those who did not have a 10th anniversary hand radiograph. We did not have data on current smoking or OCP use at the time of bone density assessment or during the 10 year period of the study, so the influence of these could not be assessed. Finally the sample size was relatively small and the study had limited power to detect weak associations.
The lack of influence of disease activity on bone loss might be explained by measurement imprecision in relation to the joint counts. In an attempt to minimise this all of the assessments were undertaken by trained research nurses; annual comparative assessments were conducted to ensure standardisation of assessment. Four patients (with active joints) were invited to take part in the assessment process. Each nurse assessed each patient together with an independent observer. The results were compared, discrepancies discussed and repeat examinations performed as necessary to ensure agreement. Further any such imprecision should have applied equally to deformed joint counts which are perhaps harder to standardise, yet which showed a strong influence on BMDa.
Data from some though not all studies of patients with RA have suggested an association between disease activity assessed using erythrocyte sedimentation rate (ESR) or CRP and reduced bone mass [4, 10, 11]. In our long term follow up study, we observed a trend towards a positive association between CRP and bone mass, though the association did not attain statistical significance. This positive association has been reported previously though the mechanism is unclear .
In contrast to some though not all studies [2, 10, 12–15], we found no influence of corticosteroid use. We looked, however, only at ever use of steroids during the follow up period. There was insufficient information about dose of steroids used during the follow up period to allow assessment of the impact of current or cumulative dose in the study.
Previous studies have shown an inverse association with joint damage in RA as expressed by the Larsen score and BMDa by dual energy x-ray absorptiometry (DXA) [16–18]. In our study disease damage as determined both by the deformed joint count and erosive joint count at follow up was linked with increased bone loss. Such measures presumably represent a better marker of cumulative disease activity resulting over a long period in joint damage - though additional factors including immobility related bone loss may also be a factor. Many of the lifestyle factors investigated, such as smoking, exercise and hormonal use, had no significant influence on BMDa in this group. It is possible that associations with these variables were masked given the presence of longstanding arthritis. As expected based on studies of women without inflammatory arthritis, increasing age at menarche, weight and body mass index were linked with increased BMDa [19–21].
In summary, in this group of women with longstanding inflammatory polyarthritis, cumulative disease damage was the strongest predictor of reduced bone density. Other disease and lifestyle factors had only a modest influence.
Deodhar AA, Woolf AD: BMD measurement and bone metabolism in rheumatoid arthritis. A review. Br J Rheumatol. 1996, 35: 309-22. 10.1093/rheumatology/35.4.309.
Haugeberg G, Uhlig T, Falch JA, Halse JI, Kvein TK: Bone mineral density and frequency of osteoporosis in female patients with rheumatoid arthritis. Results from 394 patients in the Oslo County Rheumatoid Athritis register. Arthritis Rheum. 2000, 43: 522-30. 10.1002/1529-0131(200003)43:3<522::AID-ANR7>3.0.CO;2-Y.
Kroot EJJA, Laan RFJM: BMD in rheumatoid arthritis. Clin Exp Rheumatol. 2000, 18 (Suppl 21): S12-5.
Sivas F, Barca N, Onder M, Ozoran K: The relation between joint erosion and generalised osteoporosis and disease activity in patients with rheumatoid arthritis. Rheumatol Int. 2006, 26: 896-9. 10.1007/s00296-006-0104-9.
Symmons DPM, Silman AJ: The Norfolk Arthritis Register (NOAR). Clin Exp Rheumatol. 2003, 21: S94-9.
Fries JF, Spitz P, Kraines RG, Holman HR: Measurement of patient outcomes in arthritis. Arthritis Rheum. 1980, 23: 137-45. 10.1002/art.1780230202.
Larsen A, Dale K, Eek M: Radiographic evaluation of rheumatoid arthritis and related conditions by standard reference films. Acta Radiol Diagn (Stockh). 1977, 18: 481-91.
O'Neill TW, Cooper C, Algra D, Pols HAP, Agnusdei D, Dequeker J, et al.: Design and Development of a Questionnaire for Use in a Multicentre Study of Vertebral Osteoporosis in Europe: The European Vertebral Osteoporosis Study (EVOS). Rheumatol Eur. 1995, 24: 75-81.
Symmons DPM, Hazes JMW, Silman AJ: Cases of early inflammatory polyarthritis should not be classififed as having rheumatoid arthritis. J Rheumatol. 2003, 30: 902-4.
Laan RFJM, Buijs WCAM, Verbeek ALM, Draad MP, Corstens FHM, Putte van de LBA, van Riel PLCM: Bone mineral density in patients with recent onset rheumatoid arthritis: influence of disease activity and functional capacity. Ann Rheum Dis. 1993, 52: 21-6. 10.1136/ard.52.1.21.
Gough AKS, Lilley J, Eyre S, Holder RL, Emery P: Generalised bone loss in patients with early rheumatoid arthritis. Lancet. 1994, 344: 23-7. 10.1016/S0140-6736(94)91049-9.
Dykman TR, Gluck OS, Murphy WA, Hahn TJ, Hahn BH: Evaluation of factors associated with glucocorticoid induced osteopenia in patients with rheumatic diseases. Arthritis Rheum. 1985, 28: 361-8. 10.1002/art.1780280402.
Sambrook PN, Eisman JA, Champion GD, Yeates MG, Pocock NA, Eberl S: Determinants of axial bone loss in rheumatoid arthritis. Arthritis Rheum. 1987, 30: 721-8. 10.1002/art.1780300701.
Kroot EJA, Nieuwenhuizen MG, Waal Malefijt MC, van Riel PLCM, Pasker-de Jong PCM, Laan RFJM: Change in bone mineral density in patients with rheumatoid arthritis during the first decade of the disease. Arthritis Rheum. 2001, 44: 1254-60. 10.1002/1529-0131(200106)44:6<1254::AID-ART216>3.0.CO;2-G.
Lodder MC, de Jong Z, Kostense PJ, Molenaar ETH, Staal K, Voskuyl AE, Hazes JMW, Dijkmans BAC, Lems WF: Bone mineral density in patients with rheumatoid arthritis: relation between disease severity and low bone mineral density. Ann Rheum Dis. 2004, 63: 1576-80. 10.1136/ard.2003.016253.
Sambrook P, Raj A, Hunter D, Naganathan V, Mason R, Robinson B: Osteoporosis with low dose corticosteroids: contribution of underlying disease effects and discriminatory ability of ultrasound versus bone densitometry. J Rheumatol. 2001, 28: 1063-7.
Lodder MC, Haugeberg G, Lems WF, Uhlig T, Orstavik RE, Kostense PJ, Dijkmans BAC, Kvein TK, Woolf AD: Radiographic damage associated with low bone mineral density and vertebral deformities in rheumatoid arthritis: The Oslo-Truro-Amsterdam (OSTRA) collaborative study. Arthritis Care Res. 2003, 49: 209-15. 10.1002/art.10996.
Forsblad d'Elia H, Larsen A, Waltbrand E, Kvist G, Mellstrom D, Saxne T, Ohlsson C, Nordborg E, Carlsten H: Radiographic joint destruction in postmenopausal rheumatoid arthritis is strongly associated with generalized osteoporosis. Ann Rheum Dis. 2003, 62: 617-23. 10.1136/ard.62.7.617.
Stevenson JC, Lees B, Devenport M, Cust MP, Ganger KF: Determinants of bone density in normal women; risk factors for future osteoporosis?. BMJ. 1989, 298: 924-8. 10.1136/bmj.298.6678.924.
Felson DT, Zhang Y, Hannan MT, Anderson JJ: Effects of weight and body mass index on bone mineral density in men and women: The Framingham study. J Bone Miner Res. 1993, 8: 567-73. 10.1002/jbmr.5650080507.
Fox KM, Magaziner J, Sherwin R, Scott JC, Plato CC, Nevitt M, Cummings S: Reproductive correlates of BMD in elderly women. Study of Osteoporotic Fractures Research Group. J Bone Miner Res. 1993, 8: 901-8. 10.1002/jbmr.5650080802.
The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2474/11/106/prepub
We thank participants and general practitioners in NOAR. NOAR is supported by funding from Arthritis Research UK.
The authors declare that they have no competing interests.
SP performed the statistical analysis and drafted the manuscript. TM participated in the design and data collection of the study and contributed to the drafting of the manuscript. KG participated in the design and data collection of the study and contributed to the drafting of the manuscript. AJS conceived the study, participated in its design and coordination and helped to draft the manuscript. DPMS conceived the study, participated in its design and coordination and helped to draft the manuscript. TWO conceived the study, participated in its design and coordination and helped to draft the manuscript. All authors read and approved the final manuscript.