POSITION PAPER
European guidance for the diagnosis and management
of osteoporosis in postmenopausal women
J. A. Kanis & E. V. McCloskey & H. Johansson &
C. Cooper & R. Rizzoli & J.-Y. Reginster &
on behalf of the Scientific Advisory Board
of the European Society for Clinical and Economic
Aspects of Osteoporosis and Osteoarthritis
(ESCEO) and the Committee of Scientific Advisors
of the International Osteoporosis Foundation (IOF)
Received: 25 June 2012 /Accepted: 25 June 2012 /Published online: 19 October 2012
# International Osteoporosis Foundation and National Osteoporosis Foundation 2012
Abstract
Summary Guidance is provided in a European setting on the
assessment and treatment of postmenopausal women at risk
of fractures due to osteoporosis.
Introduction The International Osteoporosis Foundation
and European Society for Clinical and Economic Aspects
of Osteoporosis and Osteoarthritis published guidance for
the diagnosis and management of osteoporosis in 2008. This
manuscript updates these in a European setting.
Methods Systematic literature reviews.
Results The following areas are reviewed: the role of bone
mineral density measurement for the diagnosis of osteoporosis
and assessment of fracture risk, general and pharmacological
management of osteoporosis, monitoring of treatment, assess-
ment of fracture risk, case finding strategies, investigation of
patients and health economics of treatment.
Conclusions A platform is provided on which specific
guidelines can be developed for national use.
Keywords Bone mineral density . Diagnosis of
osteoporosis . Fracture risk assessment . FRAX . Health
economics . Treatment of osteoporosis
Introduction
In 1997, the European Foundation for Osteoporosis and
Bone Disease (subsequently the International Osteoporosis
Foundation, IOF) published guidelines for the diagnosis and
management of osteoporosis [1], subsequently updated in
2008 by the IOF and European Society for Clinical and
Economic Evaluation of Osteoporosis and Osteoarthritis
(ESCEO) [2]. Since then, there have been significant advan-
ces in the field of osteoporosis. These include the develop-
ment of new techniques for measuring bone mineral,
improved methods of assessing fracture risk and new treat-
ments that have been shown to significantly reduce the risk
of fractures at vulnerable sites. Against this background, the
Scientific Advisory Board of the ESCEO, in collaboration
with the IOF, has recognised a need to update the guidance
which is detailed below. The high societal and personal
J. A. Kanis : E. V. McCloskey :H. Johansson
WHO Collaborating Centre,
UK University of Sheffield Medical School,
Sheffield, UK
C. Cooper
MRC Lifecourse Epidemiology Unit, University of Southampton
and NIHR Musculoskeletal Biomedical Research Unit,
University of Oxford,
Oxford, UK
R. Rizzoli
University Hospitals and Faculty of Medicine of Geneva,
Geneva, Switzerland
J.-Y. Reginster
Department of Public Health, Epidemiology and Health
Economics and HEC School of Management, University of Liège,
Liège, Belgium
J. A. Kanis (*)
WHO Collaborating Centre for Metabolic Bone Diseases,
University of Sheffield Medical School,
Beech Hill Road,
Sheffield S10 2RX, UK
e-mail: w.j.pontefract@sheffield.ac.uk
Osteoporos Int (2013) 24:23–57
DOI 10.1007/s00198-012-2074-y
www.medlive.cn
costs of osteoporosis pose challenges to public health and
physicians, particularly since most patients with osteoporo-
sis remain untreated. Indeed, less than 20 % of patients with
a fragility fracture receive therapy to reduce future fracture
within the year following fracture [3–5]. The aim of this
guidance is to stimulate a cohesive approach to the manage-
ment of osteoporosis in Europe. The term guidance rather
than guidelines is used, to avoid any prescriptive connota-
tions since country- or region-specific guidelines are now
widely available in many European countries and continue
to evolve. Rather, the guidance can inform the development
of new guidelines or the revision of existing guidelines.
Whilst focussed on a European perspective and on postmen-
opausal women, the principles may be of some assistance in
other regions of the world and in men.
Osteoporosis in Europe
Osteoporosis is defined as a systemic skeletal disease
characterised by low bone mass and microarchitectural
deterioration of bone tissue, with a consequent increase
in bone fragility and susceptibility to fracture [6]. Al-
though the diagnosis of the disease relies on the quan-
titative assessment of bone mineral density, which is a
major determinant of bone strength, the clinical signifi-
cance of osteoporosis lies in the fractures that arise. In
this respect, there are some analogies with other multi-
factorial chronic diseases. For example, hypertension is
diagnosed on the basis of blood pressure whereas an
important clinical consequence of hypertension is stroke.
Because a variety of non-skeletal factors contribute to
fracture risk [7–9], the diagnosis of osteoporosis by the
use of bone mineral density (BMD) measurements is at
the same time an assessment of a risk factor for the
clinical outcome of fracture. For these reasons, there is
a distinction to be made between the use of BMD for
diagnosis and for risk assessment.
Common sites for osteoporotic fracture are the spine, hip,
distal forearm and proximal humerus. The remaining life-
time probability in women, at menopause, of a fracture at
any one of these sites exceeds that of breast cancer (approx-
imately 12 %), and the likelihood of a fracture at any of
these sites is 40 % or more in Western Europe [10] (Table 1),
a figure close to the probability of coronary heart disease.
In the year 2000, there were estimated to be 620,000 new
fractures at the hip, 574,000 at the forearm, 250,000 at the
proximal humerus and 620,000 clinical spine fractures in
men and women aged 50 years or more in Europe. These
fractures accounted for 34.8 % of such fractures worldwide
[11]. Osteoporotic fractures also occur at many other sites
including the pelvis, ribs and distal femur and tibia. Collec-
tively, all osteoporotic fractures account for 2.7 million
fractures in men and women in Europe at a direct cost
(2006) of €36 billion [12]. A more recent estimate (for
2010) calculated the direct costs at €29 billion in the five
largest EU countries (France, Germany, Italy, Spain and
UK) [13] and €38.7 billion in the 27 EU countries [14].
Osteoporotic fractures are a major cause of morbidity in
the population. Hip fractures cause acute pain and loss of
function, and nearly always lead to hospitalisation. Recov-
ery is slow, and rehabilitation is often incomplete, with
many patients permanently institutionalised in nursing
homes. Vertebral fractures may cause acute pain and loss
of function but may also occur without serious symptoms.
Vertebral fractures often recur, however, and the consequent
disability increases with the number of fractures. Distal
radial fractures also lead to acute pain and loss of function,
but functional recovery is usually good or excellent.
It is widely recognised that osteoporosis and the consequent
fractures are associated with increased mortality, with the
exception of forearm fractures [15]. In the case of hip fracture,
most deaths occur in the first 3–6 months following the event,
of which 20–30 % are causally related to the fracture event
itself [16]. In Sweden, the number of deaths that are causally
related to hip fracture account for more than 1 % of all deaths,
somewhat higher than the deaths attributed to pancreatic can-
cer and somewhat lower than the deaths attributed to breast
cancer [16]. In 2010, the number of deaths causally related to
osteoporotic fractures was estimated at 43,000 in the European
Union [14]. Approximately 50 % of fracture-related deaths in
womenwere due to hip fractures, 28% to clinical vertebral and
22 % to other fractures. In Europe, osteoporosis accounted for
more disability and life years lost than rheumatoid arthritis, but
less than osteoarthritis. With regard to neoplastic diseases, the
burden of osteoporosis was greater than for all sites of cancer,
with the exception of lung cancers [11].
Bone mineral measurements
The objectives of bone mineral measurements are to provide
diagnostic criteria, prognostic information on the probability
Table 1 Remaining lifetime probability of a major fracture at the age
of 50 and 80 years in men and women from Sweden [10] (with kind
permission from Springer Science and Business Media)
Site At 50 years At 80 years
Men Women Men Women
Forearm 4.6 20.8 1.6 8.9
Hip 10.7 22.9 9.1 19.3
Spine 8.3 15.1 4.7 8.7
Humerus 4.1 12.9 2.5 7.7
Any of these 22.4 46.4 15.3 31.7
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of future fractures and a baseline on which to monitor the
natural history of the treated or untreated patient. BMD is
the amount of bone mass per unit volume (volumetric den-
sity), or per unit area (areal density), and both can be
measured in vivo by densitometric techniques.
A wide variety of techniques is available to assess bone
mineral that are reviewed elsewhere [17–19]. The most
widely used are based on X-ray absorptiometry of bone,
particularly dual energy X-ray absorptiometry (DXA), since
the absorption of X-rays is very sensitive to the calcium
content of the tissue of which bone is the most important
source. Other techniques include quantitative ultrasound
(QUS), quantitative computed tomography (QCT) applied
both to the appendicular skeleton and to the spine, periph-
eral DXA, digital X-ray radiogrammetry, radiographic
absorptiometry, and other radiographic techniques. Other
important determinants of bone strength for both cortical
and trabecular bone include macro-and microarchitecture
(e.g. cross-sectional moment of inertia, hip axis length,
cortical thickness, trabecular bone score, Hurst parameters).
X-ray-based technology is becoming available to estimate
these components of bone strength which may have a future
role in fracture risk assessment [20–23].
DXA is the most widely used bone densitometric tech-
nique. It is versatile in the sense that it can be used to assess
bone mineral density/bone mineral content of the whole
skeleton as well as specific sites, including those most
vulnerable to fracture [17, 24, 25]. Areal density (in grams
per square centimetre) rather than a true volumetric density
(in grams per cubic centimetre) is measured since the scan is
two dimensional. Areal BMD accounts for about two thirds
of the variance of bone strength as determined in vitro on
isolated bones, such as the vertebral body or proximal
femur.
DXA can also be used to visualise lateral images of
the spine from T4 to L4 to detect deformities of the
vertebral bodies [26–30]. Vertebral fracture assessment
(VFA) may improve fracture risk evaluation, since many
patients with vertebral fracture may not have a BMD T-
score classified as osteoporosis. This procedure involves
less radiation and is less expensive than a conventional
X-ray examination. Whereas whole body bone, fat and
lean mass can also be measured using DXA, these
measurements are useful for research; they do not assist
in the routine diagnosis or assessment of osteoporosis.
The performance characteristics of many measure-
ment techniques have been well documented [31, 32].
For the purpose of risk assessment and for diagnosis, a
characteristic of major importance is the ability of a
technique to predict fractures. This is traditionally
expressed as the increase in the relative risk of fracture
per standard deviation unit decrease in bone mineral
measurement—termed the gradient of risk.
Limitations of BMD
There are a number of technical limitations in the general
application of DXA for diagnosis which should be recog-
nised [1, 33]. The presence of osteomalacia, a complication
of poor nutrition in the elderly, will underestimate total bone
matrix because of decreased mineralization of bone. Osteo-
arthrosis or osteoarthritis at the spine or hip are common in
the elderly and contribute to the density measurement, but
not necessarily to skeletal strength. Heterogeneity of density
due to osteoarthrosis, previous fracture or scoliosis can often
be detected on the scan and in some cases excluded from the
analysis. Some of these problems can be overcome with
adequately trained staff and rigorous quality control.
Diagnosis of osteoporosis
Bone mineral density is most often described as a T- or Z-
score, both of which are units of standard deviation (SD).
The T-score describes the number of SDs by which the
BMD in an individual differs from the mean value expected
in young healthy individuals. The operational definition of
osteoporosis is based on the T-score for BMD [7, 34]
assessed at the femoral neck and is defined as a value for
BMD 2.5 SD or more below the young female adult mean
(T-score less than or equal to −2.5 SD) [8, 35]. The Z-score
describes the number of SDs by which the BMD in an
individual differs from the mean value expected for age
and sex. It is mostly used in children and adolescents.
The reference range recommended by the IOF, ISCD,WHO
and NOF for calculating the T-score [8, 36] is the National
Health and Nutrition Examination Survey (NHANES) III ref-
erence database for femoral neck measurements in Caucasian
women aged 20–29 years [37]. Note that the diagnostic criteria
for men use the same female reference range as that forwomen.
This arises fortuitously because for any age and BMD at the
femoral neck, the risk of hip fracture or a major osteoporotic
fracture is the same in men and women [38–40]. However, the
T-score cannot be used interchangeably with different techni-
ques and at different sites, since the prevalence of osteoporosis
and proportion of individuals allocated to any diagnostic cat-
egory would vary (Table 2), as does the risk of fracture.
These considerations have led to the adoption of the femoral
neck as the reference site [36], but do not preclude the use of
other sites and technologies in clinical practice, though it should
be recognised that the information derived from the T-score will
differ from that provided by BMD at the femoral neck.
Measurement of multiple skeletal sites
A number of guidelines favour the concurrent use of BMD
at the proximal femur and at the lumbar spine for patient
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assessment. Patients are defined as having osteoporosis
on the basis of the lower of two T-scores [41, 42]. The
prediction of fracture is, however, not improved overall
by the use of multiple sites [43–45]. Selection of
patients on the basis of a minimum value from two or
more tests will, however, increase the number of
patients selected. The same result can be achieved by
less stringent criteria for the definition of osteoporosis,
by defining osteoporosis, for example, as a T-score of
≤−2.0 SD rather than ≤−2.5 SD. Notwithstanding, the
measurement of more than one site can aid in the
assessment of individuals (discussed below).
Osteopenia
It is recommended that diagnostic criteria be reserved
for osteoporosis and that osteopenia should not be con-
sidered a disease category. Rather, the description of
osteopenia is solely intended for purposes of epidemio-
logical description.
Prevalence of osteoporosis
Because the distribution of BMD in the young healthy
population is normally distributed and bone loss occurs
with advancing age, the prevalence of osteoporosis
increases with age. The prevalence of osteoporosis in
the largest countries in the EU (Germany, France, Italy,
Spain and UK) using the WHO criteria is shown for
women in Table 3 [13, 46]. Approximately 21 % of
women aged 50–84 years are classified as having oste-
oporosis accounting for more than 12 million women in
these countries.
These data assume that the distribution of femoral neck
BMD is the same in these index countries. There may be
small differences in the age- and sex-specific BMD in
different European countries as well as within countries. If
so, these differences in BMD are relatively small and insuf-
ficient to account for the observed differences in fracture
rates (see below).
Risk factors for fracture
BMD
Assessment of BMD has provided a crucial determinant of
fracture risk, and many guidelines have used BMD thresholds
to determine whether treatments should be recommended.
Intervention thresholds have ranged from T-scores of −3 SD
to −1.5 SD depending on the clinical context, the country or
health economic factors [1, 47–51]. The use of bone mass
measurements for prognosis depends upon accuracy. Accura-
cy in this context is the ability of the measurement to predict
fracture. In general, all densitometric techniques have high
specificity but low sensitivity which varies with the cutoff
chosen to designate high risk.
At the age of 50 years, for example, the proportion of
women with osteoporosis who will fracture their hip, spine,
forearm or proximal humerus in the next 10 years (i.e. positive
predictive value) is approximately 45 %. Despite this, the
overall detection rate for these fractures (sensitivity) is low,
and 96 % of fractures at the spine, hip, forearm or proximal
humerus will occur in women without osteoporosis [52]. The
low sensitivity is one of the reasons why widespread
population-based screening with BMD is not widely recom-
mended in women at the time of the menopause [7].
Table 2 Estimates of T-scores
and the prevalence of osteopo-
rosis according to site and tech-
nique [36]
Measurement site Technique T-score at 60 years WHO classification Prevalence of
osteoporosis (%)
Spine QCT −2.5 Osteoporosis 50
Spine Lateral DXA −2.2 Low bone mass 38
Spine DXA −1.3 Low bone mass 14
Forearm DXA −1. 4 Low bone mass 12
Heel Achilles −1.5 Low bone mass 11
Total hip DXA −0.9 Normal 6
Heel Sahara −0.7 Normal 3
Table 3 Number (in thousands) of women with osteoporosis accord-
ing to age in the EU5 using female-derived reference ranges at the
femoral neck [13]
Age group (years) France UK Germany Italy Spain EU5
50–54 135 127 192 128 95 695
55–59 200 175 265 180 126 974
60–64 286 276 328 276 175 1,385
65–69 271 308 489 335 215 1,672
70–74 364 365 718 464 270 2,236
75–79 484 411 672 546 368 2,543
80–84 526 417 686 558 357 2,612
50–84 2,266 2,079 3,350 2,487 1,606 12,117
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Many cross-sectional and prospective population studies
indicate that the risk for fracture increases by a factor of 1.5 to
3.0 for each standard deviation decrease in bone mineral density
[31]. The ability of bone mineral density to predict fracture is
comparable to the use of blood pressure to predict stroke and
substantially better than serum cholesterol to predict myocardial
infarction [7]. There are, however, significant differences in the
performance of different techniques at different skeletal sites. In
addition, the performance depends on the type of fracture that
one wishes to predict [31, 53]. For example, BMD assessments
by DXA to predict hip fracture are more predictive when
measurements are made at the hip rather than at the spine or
forearm (Table 4). For the prediction of hip fracture, the gradient
of risk provided by hip BMD in a meta-analysis is 2.6 [31]. In
other words, the fracture risk increases 2.6-fold for each SD
decrease in hip BMD. Thus, an individual with a Z-score of −3
at the hip would have a 2.63 or greater than 15-fold higher risk
than an individual of the same age with a Z-score of 0. Where
the intention is to predict any osteoporotic fracture, the com-
monly used techniques are comparable: The risk of fracture
increases approximately 1.5-fold for each standard deviation
decrease in the measurement so that an individual with a mea-
surement of 3 standard deviations below the average value for
age would have a 1.53 or greater than 3-fold higher risk than an
individual with an average BMD. Note that the risk of fracture
in