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Several risk factors are important
EDITOR Surprisingly, few researchers have attempted to combine their results
to produce a risk score. We have identified one study that produced a
score with a sensitivity of 70% and specificity of 98% on the basis
of three factors We suggest that there is a case for focusing on elderly people but that
the approach should be based on firm evidence and involve a specific
risk score rather than a nebulous concept of infirmity. Hormone
replacement therapy and bisphosphonates are costly and have important
side effects and should not be used indiscriminately in any age group.
Wilkin argues for broadening the indication for treatment of
osteoporosis to "infirm older people."1 There are
several problems with the specific case he makes but evidence
nevertheless to support a move in this direction. He deduces that
frequency of impact is the main risk factor for fracture. Falling is
indeed a recognised risk factor, but the evidence suggests that it is just one among several predictors.2
bone mineral density, body sway, and muscle
strength.3 This prediction is for fractures occurring
within a fairly short follow up time and probably overestimates the
potential for effective intervention. Our preliminary results from a
similar cohort provide support for a risk score approach over a longer
period.4
sk29{at}leicester.ac.uk
M M K Donaldson
Department of Epidemiology and Public Health, University of
Leicester, Leicester LE1 6TP
a Competing interests: None declared.
| 1. |
Wilkin TJ.
Changing perceptions in osteoporosis [with commentary by R Eastell].
BMJ
1999;
318:
862-864 |
| 2. | Eddy DM, Johnston CC, Cummings SR, Dawson-Hughes B, Lindsay R, Melton LJ III, et al. Osteoporosis: review of the evidence for prevention, diagnosis and treatment and cost-effectiveness analysis. Osteoporosis Int 1998;suppl 4:S7-80. |
| 3. | Nguyen T, Sambrook P, Kelly P, Jones G, Lord S, Freund J, et al. Prediction of osteoporotic fractures by postural instability and bone density. BMJ 1993; 307: 1111-1115. |
| 4. | McGrother CW, Donaldson MMK, Clayton D, Clarke M. Development of a risk score for fracture within an elderly population. Osteoporosis Int 1998; 8(suppl 3): 27. |
Replacing bone mineral density with bone turnover is not a solution
EDITOR An important use for a surrogate is to identify groups of high risk
patients so that treatment is directed most economically at those who
can benefit most. Evidence suggests that measurements of bone mineral
density are rather better at risk stratification than bone
markers.2 For instance, 36% of hip fractures occur among
women with high bone turnover,2 who are about a quarter of
the older population, while for low bone mineral density about half of
hip fractures occur in a similar population fraction.3 Thus Wilkin's suggestion that treatment should be targeted at infirm
people with high bone turnover would result in a greater number needed
to treat for every fracture prevented than would targeting treatment in
the same people on the basis of bone mineral density.
Wilkin's argument turns on the premise that bone marker levels can
normalised whereas abnormally low bone mineral density can be increased
only slightly. This, however, is to fall into the trap of treating a
surrogate rather than the disease. Thus an "infirm" 75 year old
woman who has already had Colles and vertebral fractures and whose
mother and older sister have both had hip fractures but who has
"normal" levels of bone markers should not be treated, because her
risk factors cannot be normalised. In contrast, a woman of the same age
but whose only risk factor for fracture is high bone turnover, which
can be normalised, should be offered treatment even though she is
almost certainly at lower risk of hip fracture than the other patient.
Such a situation is as bad as treating a woman whose only risk factor
for fracture is low bone mineral density but not treating a patient who
has multiple other risk factors but who has bone mineral density
slightly greater than 1 SD below the premenopausal mean.
The aim of treatment should be not to normalise bone mineral density or
markers of bone turnover but to reduce risk of fracture. One way
forward might be to use both markers and measurements of bone mass to
improve the specificity of treatment and thereby its cost
effectiveness.2
b
Competing interests: Dr Torgerson has been
reimbursed by Johnson & Johnson Clinical Diagnostics, which
manufactures tests for markers of bone turnover, for attending internal symposiums.
Markers should be used as adjunct to bone densitometry
EDITOR Marshall et al indeed concluded that "bone mineral density
measurements ... cannot identify individuals who will
have a fracture." But of course bone density measurements cannot
identify individuals who will have a fracture. Neither do cholesterol
concentrations tell who will have a heart attack or blood pressure
readings tell who will have a stroke. Although these measures do not
predict the future for an individual, they clearly permit
identification of individuals at high (and low) risk of complications
and allow interventions to be targeted at high risk groups and high
risk individuals.
Marshall et al also came to an important conclusion that Wilkin
chose to ignore: "[the] ability of decreases in bone mass [to
predict fracture] was roughly similar to (or, for hip or spine measurements, better than) that of a 1 SD increase in blood
pressure for stroke and better than a 1 SD increase in serum
cholesterol concentration for cardiovascular disease."2
Because the risk of fracture rises dramatically after the first
fracture,3 early identification and treatment are
important. We believe that bone density testing is the best way to
identify patients at high risk of fracture before the first fracture occurs.
Clearly, there are risk factors for fracture besides bone
density. We agree that biochemical markers of bone turnover provide clinically useful information, but we use markers as an adjunct to bone
densitometry and fail to see convincing evidence or logic to abandon
densitometry in favour of markers.
Wilkin states that "the small increases in bone density gained during
the early years of treatment with hormone replacement therapy or
bisphosphonate drugs soon level off." One study showed a 10%
increase in spinal bone density with treatment with
alendronate4 Wilkin's arguments have several flaws. There are certainly things to
be learnt to advance the field, but Wilkin is pointing us in the wrong direction.
c
Competing interests: Dr Watts is the president elect
and Dr Miller is the immediate past president of the International
Society for Clinical Densitometry. Dr Watts and Dr Miller have both
received research support, honoraria for lectures, and consulting fees from several pharmaceutical companies.
Author's reply
EDITOR The risk of fracture is low (though not absent) between the ages of 50 and 70, so that the case for undertaking bone densitometry in this age
group in order to prescribe an antiresorptive drug with the promise of
no more than halving an already minimal risk is inherently weak.
Fractures first become common after the age of 65-70, but in one of the
few longer term studies with sufficient numbers Gandsell et al found
only poor prediction of fracture from bone densitometry, which was
poorer still in the older age group.2 De Laet et al's
observations in 5814 subjects indicate that, whereas the risk of hip
fracture increases 13-fold from ages 60 to 80, the changes in bone
density associated with age contribute at most 1.9.3 They
conclude that "the contribution of decline in bone density to the
exponential increase in risk of fracture with age is relatively small."
According to De Laet et al's study, some 85% of the age
related risk of fracture in women is related to factors other than bone
density, but they are not accounted for in epidemiological studies such
as that of Cummings et al.4 In that study, bone densities
were corrected for age by Z score but other age related factors that
contribute to risk of fracture were not. Here lies the flaw: the age
related (and possibly remediable) factors that mostly account for risk
of fracture were ignored and their contribution ascribed erroneously to
bone density. The fundamentally important observation of Hui et al,
that the same bone density predicts an eight-fold difference in risk of
fracture for people of 45 compared with those of 80 makes bone
densitometry an uncertain tool.5 Osteoporotic fractures
occur mostly in elderly people, and most particularly in those who are
infirm. Bone density adds little.
d
Competing interests: None declared.
Low bone mineral density is a disease surrogate; as Eastell
points out in his commentary on Wilkin's article on osteoporosis, it is unfortunate that this particular surrogate has been given the
status of a true diagnosis.1 But Wilkin's suggestion of replacing bone mineral density with another surrogate, bone turnover, is not a solution to the deficiencies of bone mineral density.
Centre for Health Economics and Department of Health Studies,
University of York, York YO10 5DD
1.
Wilkin TJ.
Changing perceptions in osteoporosis [with commentary by R Eastell].
BMJ
1999;
318:
862-865. (27 March.)
2.
Garnero P, Hausherr E, Chapuy MC, Marcelli C, Grandjean H, Muller C, et al.
Markers of bone resorption predict hip fractures in elderly women: the EPIDOS prospective study.
J Bone Miner Res
1996;
11:
1531-1538[Medline].
3.
Cummings SR, Black DM, Nevitt MC, Browner W, Cauley J, Ensrud K, et al.
Bone density at various sites for prediction of hip fractures.
Lancet
1993;
341:
72-75[Medline].
Wilkin builds a case against using bone densitometry to diagnose
osteoporosis by taking out of context a point from Marshall et al's
meta-analysis of how well measures of bone mineral density predict the
occurrence of osteoporotic fractures.
1 2
this is not small by our standards. Our long
term study of intermittent cyclical etidronate showed continued gains
in spinal bone density in the sixth and seventh years of
treatment.5 We believe that seeing bone density stable or
increasing with treatment is a good indication that treatment is effective.
Emory Clinic, Atlanta, GA 30322, USA nwatts{at}emory.edu
Paul D Miller
Colorado Center for Bone Research, Lakewood, Colorado USA
1.
Wilkin TJ.
Changing perceptions in osteoporosis [with commentary by R Eastell].
BMJ
1999;
318:
862-865. (27 March.)
2.
Marshall D, Johnell O, Wedel H.
Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures.
BMJ
1996;
312:
1254-1259 3.
Ross PD, Davis JW, Epstein RS, Wasnich RD.
Pre-existing fractures and bone mass predict vertebral fracture incidence in women.
Ann Intern Med
1991;
114:
919-923.
4.
Liberman UA, Weiss SR, Broll J, Minne HW, Quan H, Bell NH, et al.
Effect of oral alendronate on bone mineral density and the incidence of fractures in postmenopausal osteoporosis.
N Engl J Med
1995;
333:
1437-1443 5.
Miller PD, Watts NB, Licata AA, Harris ST, Genant HK, Wasnich RD, et al.
Cyclical etidronate in the treatment of postmenopausal osteoporosis: efficacy and safety after 7 years of treatment.
Am J Med
1997;
103:
468-476[Medline].
Watts identifies a key issue relating to my article
questioning the value of bone densitometry in predicting bone fracture. I quoted from Marshall et al's meta-analysis that "bone densitometry measurements cannot identify individuals who will have a
fracture,"1 to which Watts points out that it
nevertheless identifies risk. There are two questions of crucial
interest to clinicians: how much of the risk does bone densitometry
really identify, and how far can bone density predict risk of fracture
10, 20, and 30 years into the future? These questions are important
because bone densitometry is expensive and response in its surrogate
measure (bone density) may not reflect the improvement sought
(reduction in risk of fracture).
Plymouth Postgraduate Medical School, University Medicine,
Derriford Hospital, Plymouth PL6 8DH
terry.wilkin{at}phnt.swest.nhs.uk
1.
Marshall D, Johnell O, Wadel H.
Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures.
BMJ
1996;
312:
1254-1256.
2.
Gansell P, Johnell O, Nilsson BE, Gullberg B.
Predicting various fragility fractures in women by forearm bone densitometry: a follow-up study.
Calcif Tissue Int
1993;
52:
348-353[Medline].
3.
De Laet CDEH, Van Hout BA, Burger H, Hofman A, Pols HAP.
Bone density and risk of hip fracture in men and women: cross sectional analysis.
BMJ
1997;
315:
221-225 4.
Cummings SR, Black DM, Nevitt MC, Browner W, Cauley J, Ensrud K, et al.
Bone density at various sites for prediction of fractures.
Lancet
1993;
341:
72-75.
5.
Hui SL, Slemenda CW, Johston Jr CC.
Age and bone mass as predictors of fracture in a prospective study.
J Clin Invest
1988;
81:
1804-1809.
© BMJ 1999