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The role of the combination of bone and fall related risk factors on short-term subsequent fracture risk and mortality
© Huntjens et al.; licensee BioMed Central Ltd. 2013
Received: 12 August 2012
Accepted: 22 March 2013
Published: 4 April 2013
We analysed whether a combination of bone- and fall-related risk factors (RFs) in addition to a recent non-vertebral fracture (NVF) contributed to subsequent NVF risk and mortality during 2-years in patients who were offered fall and fracture prevention according to Dutch fracture- and fall-prevention guidelines.
834 consecutive patients aged ≥50 years with a recent NVF who were included. We compared subgroups of patients according to the presence of bone RFs and/or fall RFs (group 1: only bone RFs; group 2: combination of bone and fall RFs; group 3: only fall RFs; group 4: no additional RFs). Univariable and multivariable Cox regression analyses were performed adjusted for age, sex and baseline fracture location (major or minor).
57 (6.8%) had a subsequent NVF and 29 (3.5%) died within 2-years. Univariable Cox regression analysis showed that patients with the combination of bone and fall RFs had a 99% higher risk in subsequent fracture risk compared to all others (Hazard Ratio (HR) 1.99; 95% Confidence Interval (CI) 1.18-3.36) Multivariable analyses this was borderline not significant (HR 1.70; 95% CI: 0.99-2.93). No significant differences in mortality were found between the groups.
Evaluation of fall RFs contributes to identifying patients with bone RFs at highest immediate risk of subsequent NVF in spite of guideline-based treatment. It should be further studied whether earlier and immediate prevention following a NVF can decrease fracture risk in patients with a combination of bone and fall RFs.
For persons above fifty years of age, a history of fracture doubles the risk of a subsequent fracture. This risk is highest immediately after the fracture, with a 5- to 25-fold increase of subsequent fracture risk within the first months and years[1–6]. In patients with a recent fracture, other bone-related clinical risk factors, low bone mineral density (BMD) and fall-related risk factors are often present. These risk factors are independently related to fracture risk and are used in algorithms to calculate fracture risk, like FRAX® and Garvan Fracture Risk calculator. In addition, fall-related risk factors predict not only the risk of subsequent falls, but also of fractures. Therefore, these risk factors are sometimes integrated in fracture prediction algorithms.
Fracture risk reduction has only been shown with specific anti-osteoporosis medication such as bisphosphonates, denosumab, raloxifene and recombinant PTH[4, 10–17]. Fall prevention strategies decrease the risk of falls, however in these studies prevention of fractures was not demonstrated.
In the field of post fracture care, a Fracture Liaison Service is one of the initiatives to integrate evaluation of bone- and fall-related risk factors in patients attending the hospital with a recent clinical fracture.
The aim of the Fracture Liaison Service is to evaluate bone- and fall-related risk factors, to initiate fall prevention programs, adequate calcium and vitamin D supplementation and specific anti-osteoporosis medication when needed in order to reduce subsequent falls, fractures and mortality[4, 6, 11, 19–21].
In this study, patients with a recent clinical fracture were assessed at the FLS at Maastricht University Medical Center for bone- and fall related risk factors and we hypothesised that over a 2-year follow-up period the subsequent fracture risk and mortality would be highest in patients with a combination of bone- and fall-related risk factors, even though these patients received anti-osteoporosis treatment and/or fall prevention.
The Fracture Liaison Service is a collaboration between the department of surgery, orthopaedics and internal medicine (rheumatology and endocrinology) and is based on the consensus guideline osteoporosis of the Dutch Institute for Health Care Improvement (CBO). The Fracture Liaison Service is coordinated by a specialised and dedicated fracture nurse.
Between September 2004 and September 2006 all consecutive patients older than 50 years with a recent non-vertebral fracture, who entered the level one trauma centre in the south of the Netherlands were invited to participate. Patients with pathological or vertebral fractures or living outside the postal area were excluded. All patients were prospectively followed for two years. The hospital database was searched for radiographically confirmed first and subsequent NVF, fracture location and date of occurrence. All NVFs (baseline and subsequent) were categorised according to International Classification of Disease (ICD)-9 and then pooled into 2 groups: major (hip, pelvis, proximal humerus, proximal tibia, multiple ribs or distal femur fracture), and minor (all other) fractures. All groups were mutually exclusive. First and subsequent fractures were classified according to the main fracture. The national obituary database was searched to investigate whether patients were deceased.
The study was approved by the medical ethical committee of the hospital (MEC 03–194).
All patients, who were able and agreed to evaluate their fracture risk assessment, were invited to attend the Fracture Liaison Service. Medical history, current and past medication use, living situation, conditions concerning the occurrence of the fracture, dietary calcium and vitamin D intake were assessed. Additionally, bone- and fall- related risk factors were systematically assessed, and bone mineral density was measured by dual energy X-ray absorptiometry (DXA, Hologic QDR 4500) at the lumbar spine and femoral neck. Based on criteria of the World Health Organisation osteoporosis was classified as T-score of ≤ −2.5, osteopenia as T-score between −1.0 and −2.5, and normal BMD as T-score of >−1.0.
According to the national osteoporosis guideline the following bone- and fall-related risk factors were evaluated: a history of clinical fracture after the age of 50 years, family history of hip fracture, low body weight (<60 kg), glucocorticoid use and immobility (<4 hours per day). Vertebral fractures were excluded from this study, since the exact date of occurrence is often unclear. Patients were categorised as having a bone-related risk factor if they had osteoporosis or at least one of the above mentioned risk factors.
According to the national guideline on fall prevention the following fall-related risk factors were evaluated: a previous falls in the last 12 months (the fall leading to the current fracture was excluded), the presence of Parkinson’s disease, current use of psycho-active medication, urinary incontinence (defined as involuntary loss of urine) and articular complaints. Additionally, the Groningen Activity Restriction Scale (GARS) was used to estimate the disability in activities of daily living (ADL). Patients were categorised as having a fall-related risk factor if at least one of the risk factors mentioned above was present or the GARS showed low ADL.
According to the Dutch guidelines on osteoporosis and fall prevention patients started with Calcium and Vitamin D or a bisphosphonate in the presence of osteoporosis.
For the analyses, patients were categorised into subgroups according to the presence, combination or absence of bone- and fall-related risk factors: (1) patients with only bone-related risk factors, (2) patients with combination of bone- and fall-related risk factors, (3) patients with only fall-related risk factors, and (4) patients without bone- or fall-related risk factors. The rationale behind these groups is that there is a known treatable risk factor in group 1 and 2, but not in group 3 because in fracture prevention only bone targeted therapy has shown to reduce fracture risk and not fall targeted therapies.
Differences between the groups were analysed using the chi-square or Fisher’s exact test for categorical variables. ANOVA and independent samples t-test for numerical variables. Kaplan-Meier and multivariable Cox regression analyses were performed using subsequent fracture and mortality as dependent variables (events), adjusted for age, sex and baseline fracture location (major/minor). For subsequent fracture as dependent variable, follow-up time started at time of current fracture (time = 0) and was defined as time between current fracture and subsequent fracture (= event), death or end of 2-year follow-up period (= censored). For mortality, follow-up time was calculated as time between current fracture and death (= event) or end of 2-year follow-up period (= censored). Schoenfeld residuals were used to check the proportional hazards assumption and, if violated, time-dependent Cox regression was used. Linearity was checked for continuous variables and, if violated, centered quadratic terms were included. A two-sided p-value ≤ 0.05 was considered statistically significant. All analyses were performed using SPSS for Mac (version 18.0.0; SPSS Inc., Illinois, USA).
In total 834 patients with a NVF were included. Fifty-seven (6.8%) patients sustained a subsequent NVF and 29 (3.5%) died within two years.
Comparison of characteristics of patients with and without a subsequent fracture
Subsequent fracture (n=57; 6.8%)
No subsequent fracture (n=777; 93.2%)
Sex n (%)
Fracture location n (%)
Bone RFs (%)
Fracture 50+ yrs
Positive family history
At least 1 bone RF
Fall RFs (%)
>1 fall last year
Low ADL (before fracture)
At least 1 of the fall RF
Subsequent fracture risk
Comparison of subgroups
Comparison of all patients according to their pre-specified groups
Group 1 BRF n=183
Group 2 Combination of RFs n=334
Group 3 FRF n=170
Group 4 No RFs n=147
Sex n (%)
Fracture location n (%)
Subsequent fracture n (%)
Mortality n (%)
Patients with a combination of bone- and fall-related risk factors versus all other patients
Patients with a combination of risk factors compared to group 1 (only bone-related risk factors)
Patients with a combination of risk factors compared to group 3 (only fall-related risk factors)
In univariable analysis, patients with the combination of risk factors had a higher risk of subsequent fractures compared with patients with only fall-related risk factors (HR 2.41, 95% CI: 1.06-6.46). In the multivariable model, the subsequent fracture risk was no longer significantly higher (HR 2.05; 95% CI: 0.90-4.69).
Patients with a combination of risk factors compared to group 4 (no bone- or fall-related risk factors)
No significant differences were found between the groups on subsequent fracture risk within 2-years after univariable (HR 1.61; 95% CI: 0.77-3.38) and multivariable cox regression analyses (HR 1.16; 95% CI: 0.53-2.55).
Within two years after baseline fracture 26 patients were deceased (3.5%). In univariable Cox regression analysis, no significant difference was found between patients with a combination of bone- and fall-related risk factors (group 2) and all other groups, as well as between group 2 and all groups separately. Due to the small number of deceased patients in the present study, no multivariable regression analyses were performed. However, this only reflects the very selected nature of our cohort, as the majority of patients were still alive within 2 years after their baseline fracture.
Subsequent fracture incidence
The subsequent non-vertebral fracture risk in patients with a combination of bone- and fall-related risk factors was nearly double the risk of all other patients in univariable analysis (HR 1.99 (95% CI: 1.18-3.36). In multivariable analysis this tendency was also shown, but it did not reach significance (HR 1.70; 95% CI: 0.99-2.93). This is partly explained by the low event rate. There was a time-dependency when comparing patients with a combination of risk factors to patients with only bone-related risk factors (data not shown). This indicates that, in spite of Fracture Liaison Service assessment, patients with a combination of risk factors still had a high fracture risk at short term. Many studies have shown that the risk of subsequent fracture is highest immediately after a fracture, such as repeat vertebral, hip and non-vertebral fractures[3, 6, 22, 23]. However, the event rate was lower in our research compared to other published articles. In a study among patients aged 60 years and over a relative risk of subsequent fracture incidence of 1.95 in women and 3.45 in men was found. A subsequent fracture risk of 10.8% was found within 2-years after a fracture, and of 17.6% in patients of 50+ years who sustained a NVF after a NVF[4, 5]. The two retrospective studies were performed according to intention-to-treat, and therefore, a difference in subsequent fracture rate and mortality could be found. Mortality is known to be increased after a fracture, especially after a hip fracture. A recent study showed an increased risk of mortality especially within 5-years after the fracture. In the described studies,[3–5, 11, 24] not all patients were treated at a Fracture Liaison Service. This might explain the lower subsequent fracture (6.8%) and mortality rate (3.5%) in our study compared with the studies mentioned above (due to a possible treatment effect). In addition, the minimum age of inclusion was different, and only patients who did attend the Fracture Liaison Service were included.
There was a time-dependency with regard to subsequent fracture risk in patients who had both bone- and fall-related risk factors with the highest risk immediately after the initial fracture. This might be caused by (new) falls and, since the bone is already vulnerable due to the initial fracture, subsequent fractures mostly occur in this subgroup short-term after the initial fracture.
Therefore, patients with a combination of bone- and fall-related risk factors, are definitely candidates for immediate fracture prevention combined with fall prevention.
However, of the patients without additional risk factors 6.1% had a subsequent fracture within 2-years of follow-up. Presumably other risk factors that are not captured by the bone- and fall- related risk assessment in this study play a role in the occurrence of subsequent fractures. On the other hand, all patients in this study had a recent fracture, which is by itself a major independent risk factor for subsequent fractures. As a consequence, this might imply that all patients with an initial NVF, whether or not additional risk factors are present, deserve subsequent fracture prevention regardless of other risk factors. This is also proposed in the UK guideline.
No difference was found between the groups for mortality rate. This could be the result of the low mortality rate (n=29) in this study in combination with the relatively short follow-up period (two years). A study with a longer follow-up period in a larger population is necessary to further study these findings. Treatment of osteoporosis with bisphosphonates might reduce mortality rate. The mechanism by which this operates remains unclear, but its effect on subsequent fracture risk or on extra skeletal sites might be two possibilities[11, 26, 27]. Integrating guidelines on prevention of falls, fractures and identification and treatment of osteoporosis is recommended to optimise post fracture care. However, integrating these services is difficult and still has to be achieved in many centers.
Strengths and limitations
The strength of this study is that all consecutive patients with a recent non-vertebral fracture who attended the Fracture Liaison Service were included in the analyses. Furthermore, a dedicated fracture nurse performed the assessments of well-defined clinical, bone- and fall-related risk factors according to the national Osteoporosis and Fall Prevention Guidelines[20, 21].
A limitation of this study is that there are no data on prescription and adherence of the proposed osteoporosis treatment and fall prevention. Persistence might be low, as has been shown in a recent publication for oral anti-osteoporosis medications in the Netherlands. Due to the low mortality rate, no in depth analysis of the role of risk factors could be performed. However, this could also be a strength, since one of the effects of the Fracture Liaison Service might be mortality risk reduction.
In patients with a recent non-vertebral fracture who had a combination of bone- and fall-related risk factors, the risk of subsequent fractures was almost doubled compared with the other patients. These patients also had a higher subsequent fracture risk immediately after the initial fracture compared with patients in whom only bone-related risk factors were present.
Therefore, not only bone- but also fall-related risk factors should be assessed in order to identify patients at highest immediate risk of subsequent NVF.
Source of funding
The authors did not receive any outside funding or grants in support of their research for or preparation of this work. Neither they nor a member of their immediate families received payments or other benefits or a commitment or agreement to provide such benefits from a commercial entity.
- Klotzbuecher CM, Ross PD, Landsman PB, Abbott TA, Berger M: Patients with prior fractures have an increased risk of future fractures: a summary of the literature and statistical synthesis. J Bone Miner Res. 2000, 15 (4): 721-739.View ArticlePubMedGoogle Scholar
- Johnell O, Kanis JA, Oden A, Sernbo I, Redlund-Johnell I, Petterson C, De Laet C, Jonsson B: Fracture risk following an osteoporotic fracture. Osteoporos Int. 2004, 15 (3): 175-179. 10.1007/s00198-003-1514-0.View ArticlePubMedGoogle Scholar
- Center JR, Bliuc D, Nguyen TV, Eisman JA: Risk of subsequent fracture after low-trauma fracture in men and women. JAMA. 2007, 297 (4): 387-394. 10.1001/jama.297.4.387.View ArticlePubMedGoogle Scholar
- Huntjens KM, Kosar S, van Geel TA, Geusens PP, Willems P, Kessels A, Winkens B, Brink P, van Helden S: Risk of subsequent fracture and mortality within 5 years after a non-vertebral fracture. Osteoporos Int. 2010, 21 (12): 2075-2082. 10.1007/s00198-010-1178-5.View ArticlePubMedPubMed CentralGoogle Scholar
- van Helden S, Cals J, Kessels F, Brink P, Dinant GJ, Geusens P: Risk of new clinical fractures within 2 years following a fracture. Osteoporos Int. 2006, 17 (3): 348-354. 10.1007/s00198-005-2026-x.View ArticlePubMedGoogle Scholar
- van Geel TA, van Helden S, Geusens PP, Winkens B, Dinant GJ: Clinical subsequent fractures cluster in time after first fractures. Ann Rheum Dis. 2008, 68 (1): 99-102. 10.1136/ard.2008.092775.View ArticlePubMedGoogle Scholar
- van Helden S, van Geel AC, Geusens PP, Kessels A, Nieuwenhuijzen Kruseman AC, Brink PR: Bone and fall-related fracture risks in women and men with a recent clinical fracture. J Bone Joint Surg Am. 2008, 90 (2): 241-248. 10.2106/JBJS.G.00150.View ArticlePubMedGoogle Scholar
- FRAX, WHO Fracture Risk Assessment Tool.http://www.shef.ac.uk/FRAX/?lang=en,
- Garvan Institute, Fracture Risk Calculator.http://garvan.org.au/promotions/bone-fracture-risk/calculator/,
- Johnell O, Kanis JA, Oden A, Sernbo I, Redlund-Johnell I, Petterson C, De Laet C, Jonsson B: Mortality after osteoporotic fractures. Osteoporos Int. 2004, 15 (1): 38-42. 10.1007/s00198-003-1490-4.View ArticlePubMedGoogle Scholar
- Bliuc D, Nguyen ND, Milch VE, Nguyen TV, Eisman JA, Center JR: Mortality risk associated with low-trauma osteoporotic fracture and subsequent fracture in men and women. JAMA. 2009, 301 (5): 513-521. 10.1001/jama.2009.50.View ArticlePubMedGoogle Scholar
- Harris ST: Bisphosphonates for the treatment of postmenopausal osteoporosis: clinical studies of etidronate and alendronate. Osteoporos Int. 2001, 12 (Suppl 3): S11-S16.View ArticlePubMedGoogle Scholar
- Boonen S, Laan RF, Barton IP, Watts NB: Effect of osteoporosis treatments on risk of non-vertebral fractures: review and meta-analysis of intention-to-treat studies. Osteoporos Int. 2005, 16 (10): 1291-1298. 10.1007/s00198-005-1945-x.View ArticlePubMedGoogle Scholar
- Cummings SR, San Martin J, McClung MR, Siris ES, Eastell R, Reid IR, Delmas P, Zoog HB, Austin M, Wang A: Denosumab for prevention of fractures in postmenopausal women with osteoporosis. N Engl J Med. 2009, 361 (8): 756-765. 10.1056/NEJMoa0809493.View ArticlePubMedGoogle Scholar
- Black DM, Delmas PD, Eastell R, Reid IR, Boonen S, Cauley JA, Cosman F, Lakatos P, Leung PC, Man Z: Once-yearly zoledronic acid for treatment of postmenopausal osteoporosis. N Engl J Med. 2007, 356 (18): 1809-1822. 10.1056/NEJMoa067312.View ArticlePubMedGoogle Scholar
- Black DM, Thompson DE, Bauer DC, Ensrud K, Musliner T, Hochberg MC, Nevitt MC, Suryawanshi S, Cummings SR: Fracture risk reduction with alendronate in women with osteoporosis: the Fracture Intervention Trial. FIT Research Group. J Clin Endocrinol Metab. 2000, 85 (11): 4118-4124. 10.1210/jc.85.11.4118.View ArticlePubMedGoogle Scholar
- Reginster J, Minne HW, Sorensen OH, Hooper M, Roux C, Brandi ML, Lund B, Ethgen D, Pack S, Roumagnac I: Randomized trial of the effects of risedronate on vertebral fractures in women with established postmenopausal osteoporosis. Vertebral Efficacy with Risedronate Therapy (VERT) Study Group. Osteoporos Int. 2000, 11 (1): 83-91. 10.1007/s001980050010.View ArticlePubMedGoogle Scholar
- Bischoff-Ferrari HA: The role of falls in fracture prediction. Curr Osteoporos Rep. 2011, 9 (3): 116-121. 10.1007/s11914-011-0059-y.View ArticlePubMedGoogle Scholar
- Eisman JA, Bogoch ER, Dell R, Harrington JT, McKinney RE, McLellan A, Mitchell PJ, Silverman S, Singleton R, Siris E: Making the first fracture the last fracture: ASBMR task force report on secondary fracture prevention. J Bone Miner Res. 2012, 27 (10): 2039-2046. 10.1002/jbmr.1698.View ArticlePubMedGoogle Scholar
- KvdG CBO: Osteoporose, tweede herziene richtlijn. 2002, Communications: Van ZuidenGoogle Scholar
- Preventie van valincidenten bij ouderen.http://www.diliguide.nl/document/1015/osteoporose-en-fractuurpreventie.html,
- Lindsay R, Silverman SL, Cooper C, Hanley DA, Barton I, Broy SB, Licata A, Benhamou L, Geusens P, Flowers K: Risk of new vertebral fracture in the year following a fracture. JAMA. 2001, 285 (3): 320-323. 10.1001/jama.285.3.320.View ArticlePubMedGoogle Scholar
- Ryg J, Rejnmark L, Overgaard S, Brixen K, Vestergaard P: Hip fracture patients at risk of second hip fracture: a nationwide population-based cohort study of 169,145 cases during 1977–2001. J Bone Miner Res. 2009, 24 (7): 1299-1307. 10.1359/jbmr.090207.View ArticlePubMedGoogle Scholar
- Center JR, Nguyen TV, Schneider D, Sambrook PN, Eisman JA: Mortality after all major types of osteoporotic fracture in men and women: an observational study. Lancet. 1999, 353 (9156): 878-882. 10.1016/S0140-6736(98)09075-8.View ArticlePubMedGoogle Scholar
- Compston J, Cooper A, Cooper C, Francis R, Kanis JA, Marsh D, McCloskey EV, Reid DM, Selby P, Wilkins M: Guidelines for the diagnosis and management of osteoporosis in postmenopausal women and men from the age of 50 years in the UK. Maturitas. 2009, 62 (2): 105-108. 10.1016/j.maturitas.2008.11.022.View ArticlePubMedGoogle Scholar
- Huntjens KM, van Geel TC, Geusens PP, Winkens B, Willems P, van den Bergh J, Brink PR, van Helden S: Impact of guideline implementation by a fracture nurse on subsequent fractures and mortality in patients presenting with non-vertebral fractures. Injury. 2011, 42 (Suppl 4): S39-S43.View ArticlePubMedGoogle Scholar
- Center JR, Bliuc D, Nguyen ND, Nguyen TV, Eisman JA: Osteoporosis medication and reduced mortality risk in elderly women and men. J Clin Endocrinol Metab. 2011, 96 (4): 1006-1014. 10.1210/jc.2010-2730.View ArticlePubMedGoogle Scholar
- Huntjens KM, van Geel TA, Blonk MC, Hegeman JH, van der Elst M, Willems P, Geusens PP, Winkens B, Brink P, van Helden SH: Implementation of osteoporosis guidelines: a survey of five large fracture liaison services in the Netherlands. Osteoporos Int. 2011, 22 (7): 2129-2135. 10.1007/s00198-010-1442-8.View ArticlePubMedGoogle Scholar
- Diez-Perez A, Hooven FH, Adachi JD, Adami S, Anderson FA, Boonen S, Chapurlat R, Compston JE, Cooper C, Delmas P: Regional differences in treatment for osteoporosis. The Global Longitudinal Study of Osteoporosis in Women (GLOW). Bone. 2011, 49 (3): 493-498. 10.1016/j.bone.2011.05.007.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2474/14/121/prepub
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