- Research article
- Open Access
Risk of osteoporotic fracture in a large population-based cohort of patients with rheumatoid arthritis
Arthritis Research & Therapy volume 12, Article number: R154 (2010)
Although osteoporosis has been reported to be more common in patients with rheumatoid arthritis (RA), little is known whether the risk of osteoporotic fractures in these patients differs by age, sex, and anatomic site.
A retrospective cohort study was conducted using a health care utilization database. Incidence rates (IRs) and rate ratios (RRs) of osteoporotic fractures with 95% confidence intervals (CIs) were calculated. Multivariable Cox proportional hazards models compared the risk of osteoporotic fracture at typical sites between RA and non-RA patients.
During a median 1.63-year follow-up, 872 (1.9%) of 47,034 RA patients experienced a fracture. The IR for osteoporotic fracture at typical sites among RA patients was 9.6 per 1,000 person-years, 1.5 times higher than the rate of non-RA patients. The IR was highest for hip fracture (3.4 per 1,000 person-years) in RA. The IRs across all age groups were higher for women than men and increased with older age in both groups. The RRs were elevated in RA patients across all common sites of osteoporotic fracture: hip (1.62, 95% CI 1.43 to 1.84), wrist (1.15, 95% CI 1.00 to 1.32), pelvis (2.02, 95% CI 1.77 to 2.30), and humerus (1.51, 95% CI 1.27 to 1.84). After confounding adjustment, a modest increase in risk for fracture was noted with RA (hazard ratio 1.26, 95% CI 1.15 to 1.38).
Our study showed an increased risk of osteoporotic fractures for RA patients across all age groups, sex and various anatomic sites, compared with non-RA patients.
Rheumatoid arthritis (RA) is the most common form of inflammatory arthritis in adults and is characterized by chronic, progressive, systemic inflammation leading to substantial pain, disability, and other morbidities [1–3]. It is well accepted that patients with RA are at an increased risk of osteoporosis and osteoporotic fracture [4–11], even though a previous US population-based study based on the data from the Third National Health and Nutrition Examination Survey (1988 to 1994) did not find a difference in femoral neck bone mineral density (BMD) between RA and non-RA patients .
Osteoporosis, particularly in patients with RA, is a multifactorial condition. Some studies have suggested the association between osteoporosis and proinflammatory cytokines such as TNF-α, IL-1 and IL-6, as these cytokines play an important role in bone resorption [13–19]. Positive correlations between osteoporosis and C-reactive protein (CRP), a marker of active inflammation, have been observed, although not always confirmed, in a number of epidemiologic studies [16, 17, 20–22]. Other known risk factors for osteoporosis include older age, female sex, menopause, lower body mass index, glucocorticoids use, high RA disease activity, long RA disease duration, and decreased physical activity [8, 9, 19, 22–27]. Osteoporotic fracture, particularly at the hips, is associated with the risk of falling [28, 29]. Fall-related risk factors such as impaired heel-toe walking and inability to do stand-ups without arm use  were more common in patients with RA than non-RA patients , probably related to impaired balance and poor lower limb muscle strength. In addition, RA patients have chronic polyarticular pain, which increases a risk of falls . A high prevalence of osteoporosis is observed as 50% of 925 female RA patients in a large Italian multicenter cross-sectional study had osteoporosis defined as BMD T-score lower than -2.5 in at least one region of measurement, although it might have been overestimated due to referral bias .
Although an increased risk of osteoporosis in RA patients is well-reported, little information is available with regard to the population-based frequency of incident osteoporotic fractures in RA patients and their risks relative to different age groups, sex, anatomic site, and glucocorticoid use. We studied a very large cohort from a health care utilization database: to estimate the incidence rate (IR) of typical osteoporotic fractures among RA patients relative to age, sex and anatomic site; to assess the risk of typical osteoporotic fractures among RA compared with non-RA patients; and to evaluate the effects of rheumatoid factor (RF) and acute phase reactants on fracture risk among patients with RA.
Materials and methods
We conducted a cohort study using the administrative claims data in the HealthCore Integrated Research Database (HIRD) for the period 1 January, 2001 to 30 June, 2008. This database contained longitudinal claims information including medical diagnoses, procedures, hospitalizations, physician visits, and pharmacy dispensings on more than 28 million fully-insured subscribers, with medical and pharmacy coverage, to 14 Blue Cross/Blue Shield health plans across the USA. Results for outpatient laboratory tests, including CRP, erythrocyte sedimentation rate (ESR), and RF were available on a subset of beneficiaries. No information was available on the results of BMD tests or on other radiologic procedures.
Personal identifiers were removed from the dataset before the analysis to protect subject confidentiality. Patient informed consent was, therefore, not required. This study was approved by Brigham and Women's Hospital's Institutional Review Board and Data Use Agreements were in place with HealthCore, Inc.
Adults aged 18 years or older with at least two visits for RA identified with the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD 9-CM) code, 714.xx, were eligible for this study. Subjects who did not have a diagnosis of RA at any time during the entire study period were eligible to be part of the non-RA cohort. From this eligible non-RA cohort, five patients, matched on age and sex were selected for every subject with RA. The follow-up period began at the index date, defined as the date of second RA diagnosis for RA patients and the date of the first medical claim for the non-RA patients. We further required all subjects to have at least 12 months of continuous health plan eligibility before the start of follow-up. Subjects were then followed until occurrence of outcomes, loss of eligibility, end of study database, or death.
The definitions of fracture were based on diagnoses and procedure codes contained within the study database [see Additional file 1]. We included hip, wrist, humerus, and pelvis fractures, because these are considered to be typical sites of osteoporotic fracture and can be accurately defined in administrative claims databases . A composite of fractures at these four sites ('any osteoporotic fracture') was also considered. Patients were censored at their first fracture in the 'any osteoporotic fracture' analysis.
Variables potentially related to a future fracture were assessed using the data from the 12 months prior to the index date. These variables included demographic factors (age and sex), osteoporosis-related factors (osteoporosis diagnosis, osteoporosis medications, prior fracture, BMD test, Parkinson's disease, Alzheimer's disease, prior falls, and other comorbidities), use of other medications likely to be associated with bone metabolism or fall risks (oral glucocorticoids, anticonvulsants, benzodiazepines, selective serotonin reuptake inhibitors (SSRIs), beta blockers, proton pump inhibitors, and opioids), and health care utilization factors (number of physician visits, acute care hospitalizations, and number of different medications). To quantify patients' comorbidities, we calculated the Deyo-adapted Charlson comorbidity index based on ICD-9-CM [33, 34]. The comorbidity index is a summative score, based on 19 major medical conditions including myocardial infarction, pulmonary disease, renal disease, hepatic disease, diabetes, cancer, HIV infection, etc. A score of 0 represents absence of comorbidity and a higher score indicates a greater number of comorbid conditions.
To explore a potential association between the disease status and fracture risk in patients with RA, we calculated the Claims-based Index for RA Severity (CIRAS) scores , based on age, sex, number of tests for inflammatory markers, number of chemistry panels and platelet counts ordered, RF, the number of rehabilitation and rheumatology visits, and Felty's syndrome diagnosis, and examined outpatient laboratory data such as acute phase reactants (i.e., ESR or CRP) and RF levels in a subgroup of the RA cohort.
We compared the baseline characteristics between the RA and non-RA cohorts. Fracture IRs with 95% confidence intervals (CI) were calculated for all patients, and then stratified by age and sex. Rate ratios (RRs) were estimated by dividing the IR among RA patients by the IR among non-RA . Similar analyses were carried out for specific anatomic site fractures, and then stratified by baseline oral glucocorticoid use. Finally, to adjust for potential confounders, separate Cox proportional hazard models were used to compare the risks for any fracture and fracture at each site among RA patients with those in non-RA patients. Additional Cox proportional hazard models focused on the risks relative to age and sex. Finally, we conducted subgroup analyses to examine whether positive RF and elevated acute phase reactants, either ESR or CRP, increased a risk of fracture in RA patients. All analyses were performed using SAS 9.1 Statistical Software (SAS Institute Inc., Cary, NC, USA).
There were more than 28.7 million potentially eligible subjects in the study database. Figure 1 displays our cohort selection process. There were initially 167,161 subjects with at least one RA diagnosis and approximately 28.5 million subjects with no RA diagnosis at any time during the entire study period. Subsequently, 93,328 patients with at least one RA diagnosis, representing 0.32% of the potentially eligible population, and 9.2 million subjects with no RA diagnosis at any time during the study period met our eligibility criteria. We then matched 92,827 RA patients to 921,715 non-RA subjects by age, sex, plan type, calendar year, and state with a 1:10 ratio. After requiring a minimum of 12-months of eligibility prior to two physician visits for RA, the number of RA patients dropped to 47,034. Our final study cohort includes 47,034 RA patients and 235,170 non-RA patients matched on age and sex with a 1:5 ratio. The median follow-up time was 1.63 years for RA patients and 1.64 years for non-RA patients, accounting for 91,315 person-years in RA subjects and 488,929 person-years in non-RA patients.
Baseline characteristics of the age- and sex-matched cohorts were compared (Table 1). The median age was 55 years and 73% were women in both cohorts. Substantial differences across almost all other baseline characteristics were observed between the cohorts, with the prevalence of fracture risk factors much more common in RA patients than non-RA subjects. A recorded diagnosis of osteoporosis, comorbidity, oral glucocorticoid use, and health care utilization including physician visits and hospitalization were more commonly noted in patients with RA.
Incidence rates of any fracture
During the study follow-up, 3,968 patients (1.4%) of the study population experienced a fracture. As shown in Table 2, the IR of fracture at any of the four sites (wrist, humerus, hip, and pelvis) among RA patients was 9.6 per 1,000 person-years and 1.5 times higher than that of non-RA patients (6.3 per 1,000 person-years). The RRs of experiencing any osteoporotic fractures among RA patients compared with non-RA ranged from 1.35 (above age 85 years) to 2.13 (age between 65 and 74 years). Similar age trends were observed in the stratified analyses by sex.
Incidence rates of fracture by anatomic sites
Site-specific fracture IRs were calculated for hip, wrist, humerus, and pelvis (Table 3). Among the RA patients, humerus fracture had the lowest IR (1.6 per 1,000 person-years) and hip fracture the highest (3.4 per 1,000 person-years). The IR for humerus fracture was also lowest (1.0 per 1,000 person-years) among non-RA patients, but the IR for wrist fracture was the highest (2.2 per 1,000 person-years). Among women with RA, the highest IR was noted for pelvis fracture (4.0 per 1,000 person-years). The fracture IR at hip was 3.8 per 1,000 person-years. In male RA patients, the fracture IR was 2.4 per 1,000 person-years at hip and 1.5 per 1,000 person-years at pelvis. The RRs were elevated across all anatomic sites for both men and women, ranging from 1.12 to 2.05, except those for wrist fracture for both men and women, and humerus fracture for men.
Adjusted risks of fracture among patients with RA
All the variables listed in Table 1 were adjusted by fitting multivariable Cox proportional hazards models. The adjusted hazard ratio (HR) for any fracture was 1.26 (95% CI 1.15 to 1.38) in RA patients compared with non-RA. Age, female sex, osteoporosis drugs, SSRIs, anticonvulsants, and opioids, history of Parkinson's disease, prior fall and fracture, and hospitalization, numbers of physician visits and prescription drugs, and the comorbidity index were independently associated with an increased risk of fracture [see Additional file 2]. Prior use of oral glucocorticoids also increased a risk of osteoporotic fracture (HR 1.15, 95% CI 1.03 to 1.27). Furthermore, the adjusted HRs were consistently elevated in RA patients across all age and sex groups (Figure 2). Additional multivariable Cox regression analyses (Figure 3) showed increased HRs associated with RA for fractures at the hip (1.44, 95% CI 1.24 to 1.67) and pelvis (1.41, 95% CI 1.20 to 1.66), but not for humerus (1.26, 95% CI 1.00 to 1.58) or wrist fractures (1.03, 95% CI 0.86 to 1.23).
Subgroup analyses on laboratory data
Subgroup analyses examined the effect of RF (n = 7,016, 15%) and acute phase reactants (n = 10,309, 22%) on fracture risk among the RA patients with these laboratory data available. Positive RF (adjusted HR, 1.39, 95% CI 0.78 to 2.49) and elevated acute phase reactants (adjusted HR 1.30, 95% CI 0.85 to 1.99) were associated, although not statistically significant, with an increased fracture risk among the patients with RA after multivariable adjustment in Cox models. Prior use of oral glucocorticoids also increased risk of osteoporotic fracture among the patients in this subgroup analysis (adjusted HR 1.36, 95% CI 0.86 to 2.14).
Osteoporotic fractures are more common in patients with RA than the general population. We studied the IRs of osteoporotic fracture of the humerus, wrist, hip, and pelvis in a cohort of 47,034 RA patients using claims data. The IRs of fracture were 1.5 times higher among patients with RA compared with non-RA patients regardless of age, sex, or anatomic sites. This association between RA and fracture weakened after multivariable adjustment for known risk factors of osteoporosis including oral glucocorticoid use.
Chronic inflammation has been recently recognized as a potential risk factor for osteoporosis and fracture . The Health Aging and Body Composition Study showed that elevated inflammatory markers, such as IL-2, IL-6, CRP, and TNF-α, were associated with osteoporotic fracture . In a study of 74 post-menopausal women with RA, high disease activity, measured by high CRP levels and ESR, and an elevated IL-6 were associated with an increase in periarticular as well as systemic bone resorption . We performed subgroup analyses adjusted for either RF or acute phase reactants, in which the activity of RA or inflammation can be better, but not completely, taken into consideration. Both RF positivity and elevated acute phase reactant levels increased the risk of fracture but the association was not statistically significant. The association between oral glucocorticoid use and fracture risk remained increased among the subgroup of RA patients in whom these laboratory data were available. Nonetheless, our subgroup analyses might not have sufficient power to assess the independent association between these potential risk factors (i.e., RF, acute phase reactants, oral glucocorticoid use, and other medications) and fracture risks.
The recently developed World Health Organization fracture risk assessment tool, FRAX®, computes the 10-year probability of hip fracture or a major osteoporotic fracture, based on individual patient models that integrate the risks associated with BMD at the femoral neck as well as clinical risk factors such as age, sex, smoking status, use of glucocorticoids, history of osteoporosis and prior fall, and RA . Fracture risk related to RA independent of BMD (RR 1.73, 95% CI 0.94 to 3.20) incorporated in this tool is higher than our results (HR 1.26, 95% CI 1.15 to 1.38) . This difference is probably associated with baseline characteristics of study population and degree of confounding adjustment.
Several strengths of this study are worth noting. We examined a very large cohort of RA and non-RA patients in a population that is representative of the US commercially-insured population. Our multivariable Cox models were simultaneously adjusted for more than 20 risk factors of osteoporotic fracture. Various subgroup analyses enabled us to provide specific risks relative to age, sex, anatomic site, and laboratory results. Our results are consistent with a population-based study of 30,262 RA patients in the UK . The authors noted that patients with RA had an increased risk of fracture compared with the non-RA patients (RR 1.5, 95% CI 1.4 to 1.6). Similar to our findings, the RR of fracture was highest for hip fracture and lowest for wrist.
There are, however, limitations to our study. First, this cohort study is likely to be subject to residual confounding by race, body mass index, calcium and vitamin D intake, frailty, and other unmeasured risk factors. Although we assessed variables potentially related to a future fracture using the data from the 12 months prior to the index date, this time period might not be long enough to capture all the information on potential confounders. We used both the comorbidity index and CIRAS scores to minimize the effect of such confounders. The comorbidity index has been widely used to measure comorbidity in various medical fields since its development [33, 39–41]. Previous research showed moderate correlations between the CIRAS and a previously validated medical records-based index of severity . The substantial change in point estimates after multivariable adjustment indicates that further improved adjustment may explain our findings. We also conducted additional analyses on a subgroup of RA patients, in whom laboratory data were available, to assess whether the severity of RA affects the risk of fracture, and observed an increased risk associated with positive RF and elevated acute phase reactants, although it was not statistically significant. The analyses of laboratory test results need to be interpreted with caution as ordering laboratory tests in clinical practice is not a random process but often related to the disease status. Second, there could be misclassification with the diagnoses of RA and osteoporotic fractures as we mainly relied on diagnosis and procedure codes to identify them. Both the ICD codes for RA and the ICD codes and/or procedure codes for fractures have been used in a number of studies [32, 42–45]. Third, we relied on prescription dispensing records in the database to determine patients' drug exposures including oral glucocorticoids. It may not be the most accurate way to verify individuals' daily drug exposures, but it is still considered as one of the best ways to ascertain drug exposure status in non-experimental settings .
Finally, as true in most epidemiologic studies, patients were not randomly exposed to drugs in our study. Therefore, we cannot exclude the possibility of confounding by indication with regard to the effect of glucocorticoids on fracture risk in patients with RA. The detrimental effect of glucocorticoids on fracture might have been confounded if the drug was selectively given to patients with a higher degree of systemic inflammation and RA severity, and if the degree of systemic inflammation and the severity of RA correlated with the risk of fracture. Several studies recently reported a potentially beneficial effect of low-dose, short-term systemic glucocorticoids on BMD in RA due to its anti-inflammatory effects [25, 47–49]. Although this study was not designed to address a potential role of disease-modifying anti-rheumatic drugs including TNF-α inhibitors in the risk of osteoporotic fracture among RA patients, there is some evidence suggesting a beneficial effect of such drugs on bone loss [15, 48, 50]. The exact effects of glucocorticoids or disease-modifying anti-rheumatic drugs on the risk of fractures in RA should be further studied.
Our study found that patients with RA are at an increased risk of osteoporotic fractures across age groups, sex and various anatomic sites. An independent association between the use of oral glucocorticoids and fracture risk was confirmed. Future research that evaluates the effect of RA treatments on the risk of osteoporosis would be important.
bone mineral density
Claims-based Index for RA Severity
erythrocyte sedimentation rate
HealthCore Integrated Research Database
- ICD 9-CM International Classification of Diseases:
, Ninth Revision, Clinical Modification
tumor necrosis factor.
Rasch EK, Hirsch R, Paulose-Ram R, Hochberg MC: Prevalence of rheumatoid arthritis in persons 60 years of age and older in the United States: Effect of different methods of case classification. Arthritis Rheum. 2003, 48: 917-926. 10.1002/art.10897.
Michaud K, Wolfe F: Comorbidities in rheumatoid arthritis. Best Pract Res Clin Rheumatol. 2007, 21: 885-906. 10.1016/j.berh.2007.06.002.
Mikuls T, Saag K: Comorbidity in rheumatoid arthritis. Rheum Dis Clin North Am. 2001, 27: 283-303. 10.1016/S0889-857X(05)70202-7.
Hooyman J, Melton Lr, Nelson A, O'Fallon W, Riggs B: Fractures after rheumatoid arthritis. A population-based study. Arthritis Rheum. 1984, 27: 1353-1361. 10.1002/art.1780271205.
Michel B, Bloch D, Wolfe F, Fries J: Fractures in rheumatoid arthritis: an evaluation of associated risk factors. J Rheumatol. 1993, 20: 1666-1669.
Michel B, Bloch D, Fries J: Predictors of fractures in early rheumatoid arthritis. J Rheumatol. 1991, 18: 804-808.
West S, Troutner J, Baker M, Place H: Sacral insufficiency fractures in rheumatoid arthritis. Spine (Phila Pa 1976). 1994, 19: 2117-2121.
Lane N, Pressman A, Star V, Cummings S, Nevitt M: Rheumatoid arthritis and bone mineral density in elderly women. The Study of Osteoporotic Fractures Research Group. J Bone Miner Res. 1995, 10: 257-263. 10.1002/jbmr.5650100212.
van Staa T, Geusens P, Bijlsma J, Leufkens H, Cooper C: Clinical assessment of the long-term risk of fracture in patients with rheumatoid arthritis. Arthritis Rheum. 2006, 54: 3104-3112. 10.1002/art.22117.
Haugeberg G, Uhlig T, Falch J, Halse J, Kvien T: Bone mineral density and frequency of osteoporosis in female patients with rheumatoid arthritis: results from 394 patients in the Oslo County Rheumatoid Arthritis register. Arthritis Rheum. 2000, 43: 522-530. 10.1002/1529-0131(200003)43:3<522::AID-ANR7>3.0.CO;2-Y.
Kröger H, Honkanen R, Saarikoski S, Alhava E: Decreased axial bone mineral density in perimenopausal women with rheumatoid arthritis--a population based study. Ann Rheum Dis. 1994, 53: 18-23. 10.1136/ard.53.1.18.
Kinjo M, Setoguchi S, Solomon D: Bone mineral density in older adult patients with rheumatoid arthritis: an analysis of NHANES III. J Rheumatol. 2007, 34: 1971-1975.
Jilka R: Cytokines, bone remodeling, and estrogen deficiency: a 1998 update. Bone. 1998, 23: 75-81. 10.1016/S8756-3282(98)00077-5.
McLean R: Proinflammatory cytokines and osteoporosis. Curr Osteoporos Rep. 2009, 7: 134-139. 10.1007/s11914-009-0023-2.
Barnabe C, Hanley D: Effect of tumor necrosis factor alpha inhibition on bone density and turnover markers in patients with rheumatoid arthritis and spondyloarthropathy. Semin Arthritis Rheum. 2009, 39: 116-122. 10.1016/j.semarthrit.2008.04.004.
Maugeri D, Russo M, Franzé C, Motta V, Motta M, Destro G, Speciale S, Santangelo A, Panebianco P, Malaguarnera M: Correlations between C-reactive protein, interleukin-6, tumor necrosis factor-alpha and body mass index during senile osteoporosis. Arch Gerontol Geriatr. 1998, 27: 159-163. 10.1016/S0167-4943(98)00110-1.
Ding C, Parameswaran V, Udayan R, Burgess J, Jones G: Circulating levels of inflammatory markers predict change in bone mineral density and resorption in older adults: a longitudinal study. J Clin Endocrinol Metab. 2008, 93: 1952-1958. 10.1210/jc.2007-2325.
Cauley J, Danielson M, Boudreau R, Forrest K, Zmuda J, Pahor M, Tylavsky F, Cummings S, Harris T, Newman A, the Health ABC Study: Inflammatory markers and incident fracture risk in older men and women: the Health Aging and Body Composition Study. J Bone Miner Res. 2007, 22: 1088-1095. 10.1359/jbmr.070409.
Oelzner P, Schwabe A, Lehmann G, Eidner T, Franke S, Wolf G, Hein G: Significance of risk factors for osteoporosis is dependent on gender and menopause in rheumatoid arthritis. Rheumatol Int. 2008, 28: 1143-1150. 10.1007/s00296-008-0576-x.
Koh J, Khang Y, Jung C, Bae S, Kim D, Chung Y, Kim G: Higher circulating hsCRP levels are associated with lower bone mineral density in healthy pre- and postmenopausal women: evidence for a link between systemic inflammation and osteoporosis. Osteoporos Int. 2005, 16: 1263-1271. 10.1007/s00198-005-1840-5.
Nabipour I, Larijani B, Vahdat K, Assadi M, Jafari S, Ahmadi E, Movahed A, Moradhaseli F, Sanjdideh Z, Obeidi N, Amiri Z: Relationships among serum receptor of nuclear factor-kappaB ligand, osteoprotegerin, high-sensitivity C-reactive protein, and bone mineral density in postmenopausal women: osteoimmunity versus osteoinflammatory. Menopause. 2009, 16: 950-955. 10.1097/gme.0b013e3181a181b8.
Nampei A, Hashimoto J, Koyanagi J, Ono T, Hashimoto H, Tsumaki N, Tomita T, Sugamoto K, Nishimoto N, Ochi T, Yoshikawa H: Characteristics of fracture and related factors in patients with rheumatoid arthritis. Mod Rheumatol. 2008, 18: 170-176. 10.1007/s10165-008-0032-5.
Sinigaglia L, Nervetti A, Mela Q, Bianchi G, Del Puente A, Di Munno O, Frediani B, Cantatore F, Pellerito R, Bartolone S, La Montagna G, Adami S: A multicenter cross sectional study on bone mineral density in rheumatoid arthritis. Italian Study Group on Bone Mass in Rheumatoid Arthritis. J Rheumatol. 2000, 27: 2582-2589.
Kaz Kaz H, Johnson D, Kerry S, Chinappen U, Tweed K, Patel S: Fall-related risk factors and osteoporosis in women with rheumatoid arthritis. Rheumatology (Oxford). 2004, 43: 1267-1271. 10.1093/rheumatology/keh304.
Korczowska I, Olewicz-Gawlik A, Trefler J, Hrycaj P, Krzysztof Łacki J: Does low-dose and short-term glucocorticoids treatment increase the risk of osteoporosis in rheumatoid arthritis female patients?. Clin Rheumatol. 2008, 27: 565-572. 10.1007/s10067-007-0747-2.
Coulson K, Reed G, Gilliam B, Kremer J, Pepmueller P: Factors influencing fracture risk, T score, and management of osteoporosis in patients with rheumatoid arthritis in the Consortium of Rheumatology Researchers of North America (CORRONA) registry. J Clin Rheumatol. 2009, 15: 155-160. 10.1097/RHU.0b013e3181a5679d.
de Jong Z, Munneke M, Lems W, Zwinderman A, Kroon H, Pauwels E, Jansen A, Ronday K, Dijkmans B, Breedveld F, Vliet Vlieland TPHJ: Slowing of bone loss in patients with rheumatoid arthritis by long-term high-intensity exercise: results of a randomized, controlled trial. Arthritis Rheum. 2004, 50: 1066-1076. 10.1002/art.20117.
Cummings S, Nevitt M, Browner W, Stone K, Fox K, Ensrud K, Cauley J, Black D, Vogt T: Risk factors for hip fracture in white women. Study of Osteoporotic Fractures Research Group. N Engl J Med. 1995, 332: 767-773. 10.1056/NEJM199503233321202.
Dargent-Molina P, Favier F, Grandjean H, Baudoin C, Schott A, Hausherr E, Meunier P, Bréart G: Fall-related factors and risk of hip fracture: the EPIDOS prospective study. Lancet. 1996, 348: 145-149. 10.1016/S0140-6736(96)01440-7.
Durward G, Non Pugh C, Ogunremi L, Wills R, Cottee M, Patel S: Detection of risk of falling and hip fracture in women referred for bone densitometry. Lancet. 1999, 354: 220-221. 10.1016/S0140-6736(99)01871-1.
Leveille S, Jones R, Kiely D, Hausdorff J, Shmerling R, Guralnik J, Kiel D, Lipsitz L, Bean J: Chronic musculoskeletal pain and the occurrence of falls in an older population. JAMA. 2009, 302: 2214-2221. 10.1001/jama.2009.1738.
Ray W, Griffin M, Fought R, Adams M: Identification of fractures from computerized Medicare files. J Clin Epidemiol. 1992, 45: 703-714. 10.1016/0895-4356(92)90047-Q.
Deyo R, Cherkin D, Ciol M: Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992, 45: 613-619. 10.1016/0895-4356(92)90133-8.
Schneeweiss S, Seeger J, Maclure M, Wang P, Avorn J, Glynn R: Performance of comorbidity scores to control for confounding in epidemiologic studies using claims data. Am J Epidemiol. 2001, 154: 854-864. 10.1093/aje/154.9.854.
Ting G, Schneeweiss S, Scranton R, Katz J, Weinblatt M, Young M, Avorn J, Solomon D: Development of a health care utilisation data-based index for rheumatoid arthritis severity: a preliminary study. Arthritis Res Ther. 2008, 10: R95-10.1186/ar2482.
Rothman K, Greenland S, Lash T: Modern Epidemiology. 2008, Philadelphia: Lippincott Williams & Wilkins, 3
Kanis J, McCloskey E, Johansson H, Oden A, Ström O, Borgström F: Development and use of FRAX in osteoporosis. Osteoporos Int. 2010, 21: S407-413. 10.1007/s00198-010-1253-y.
Kanis J, Borgstrom F, De Laet C, Johansson H, Johnell O, Jonsson B, Oden A, Zethraeus N, Pfleger B, Khaltaev N: Assessment of fracture risk. Osteoporos Int. 2005, 16: 581-589. 10.1007/s00198-004-1780-5.
Charlson M, Pompei P, Ales K, MacKenzie C: A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987, 40: 373-383. 10.1016/0021-9681(87)90171-8.
de Groot V, Beckerman H, Lankhorst G, Bouter L: How to measure comorbidity. a critical review of available methods. J Clin Epidemiol. 2003, 56: 221-229. 10.1016/S0895-4356(02)00585-1.
Needham D, Scales D, Laupacis A, Pronovost P: A systematic review of the Charlson comorbidity index using Canadian administrative databases: a perspective on risk adjustment in critical care research. J Crit Care. 2005, 20: 12-19. 10.1016/j.jcrc.2004.09.007.
Khurana R, Wolf R, Berney S, Caldito G, Hayat S, Berney S: Risk of development of lung cancer is increased in patients with rheumatoid arthritis: a large case control study in US veterans. J Rheumatol. 2008, 35: 1704-1708.
Setoguchi S, Schneeweiss S, Avorn J, Katz J, Weinblatt M, Levin R, Solomon D: Tumor necrosis factor-alpha antagonist use and heart failure in elderly patients with rheumatoid arthritis. Am Heart J. 2008, 156: 336-341. 10.1016/j.ahj.2008.02.025.
Solomon D, Avorn J, Katz J, Weinblatt M, Setoguchi S, Levin R, Schneeweiss S: Immunosuppressive medications and hospitalization for cardiovascular events in patients with rheumatoid arthritis. Arthritis Rheum. 2006, 54: 3790-3798. 10.1002/art.22255.
Ziadé N, Jougla E, Coste J: Using vital statistics to estimate the population-level impact of osteoporotic fractures on mortality based on death certificates, with an application to France (2000-2004). BMC Public Health. 2009, 9: 344-10.1186/1471-2458-9-344.
Schneeweiss S, Avorn J: A review of uses of health care utilization databases for epidemiologic research on therapeutics. J Clin Epidemiol. 2005, 58: 323-337. 10.1016/j.jclinepi.2004.10.012.
Engvall I, Svensson B, Tengstrand B, Brismar K, Hafström I, BARFOT Study Group: Impact of low-dose prednisolone on bone synthesis and resorption in early rheumatoid arthritis: experiences from a two-year randomized study. Arthritis Res Ther. 2008, 10: R128-10.1186/ar2542.
Wijbrandts C, Klaasen R, Dijkgraaf M, Gerlag D, van Eck-Smit B, Tak P: Bone mineral density in rheumatoid arthritis patients 1 year after adalimumab therapy: arrest of bone loss. Ann Rheum Dis. 2009, 68: 373-376. 10.1136/ard.2008.091611.
Haugeberg G, Strand A, Kvien T, Kirwan J: Reduced loss of hand bone density with prednisolone in early rheumatoid arthritis: results from a randomized placebo-controlled trial. Arch Intern Med. 2005, 165: 1293-1297. 10.1001/archinte.165.11.1293.
Allali F, Breban M, Porcher R, Maillefert J, Dougados M, Roux C: Increase in bone mineral density of patients with spondyloarthropathy treated with anti-tumour necrosis factor α. Ann Rheum Dis. 2003, 62: 347-349. 10.1136/ard.62.4.347.
This study was supported by the National Institutes of Health K24 (AR055989) grant. Dr Kim is supported by the National Institutes of Health (T32 AR 055885) grant. Dr Schneeweiss is principal investigator of the Brigham and Women's Hospital DEcIDE Center on Comparative Effectiveness Research, funded by the Agency for Healthcare Research and Quality, and of the Harvard-Brigham Drug Safety and Risk Management Research Contract, funded by the US Food and Drug Administration. Dr Schneeweiss is a paid member of scientific advisory boards for HealthCore and ii4sm and has received consulting fees from WHISCON, RTI Health Solutions, the Lewin Group, and HealthCore. S Schneeweiss received research grants from Pfizer, Inc. Dr Solomon is supported by the National Institutes of Health (K24 AR055989, P60 AR047782, R21 DE018750, and R01 AR056215) grants. Dr Solomon has received research support from Abbott Immunology, Amgen, and BMS.
SY Kim, J Liu, GW Daniel, C-L Chang, and K Garneau declare that they have no competing interests. S Schneeweiss received research grants from Pfizer, Inc. DH Solomon received research grants from Abbot, BMS, Merck & Co., Inc. Novartis, and Amgen, Inc.
All authors participated in the study conception. SYK, SS, and DHS participated in the study design. SYK, SS, GWD, C-LC, KG, and DHS participated in data acquisition. SYS, SS, JL, and DHS participated in data analysis and interpretation. All authors participated in manuscript preparation and revision. All authors read and approved the final manuscript.
Electronic supplementary material
Additional file 1: Definition of fracture outcomes. A list of diagnosis and procedure codes to define fracture outcomes. (DOC 26 KB)
Additional file 2: Adjusted hazard ratios with 95% confidence intervals for any osteoporotic fractures. Adjusted hazard ratios (HR) with 95% confidence intervals (CI) for any osteoporotic fracture from a multivariable Cox proportional hazards model. (DOC 46 KB)
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Kim, S.Y., Schneeweiss, S., Liu, J. et al. Risk of osteoporotic fracture in a large population-based cohort of patients with rheumatoid arthritis. Arthritis Res Ther 12, R154 (2010). https://doi.org/10.1186/ar3107
- Rheumatoid Arthritis
- Bone Mineral Density
- Rheumatoid Arthritis Patient
- Fracture Risk
- Osteoporotic Fracture