Re: Osteo Criteria

[Guest guest]

Hi All,

Yes, it is in Medline as the fifth from the author below.

1: van der Voort DJ, Geusens PP, Dinant GJ.

A cross-sectional study of postmenopausal women found an association

between

osteoporosis and past gastric surgery or oral corticosteroids.

J Clin Epidemiol. 2004 May;57(5):533-8.

PMID: 15196624 [PubMed - indexed for MEDLINE]

2: van Der Voort DJ, van Der Weijer PH, Barentsen R.

Early menopause: increased fracture risk at older age.

Osteoporos Int. 2003 Jul;14(6):525-30. Epub 2003 Apr 30.

PMID: 12730751 [PubMed - indexed for MEDLINE]

3: Geusens P, Hochberg MC, van der Voort DJ, Pols H, van der Klift

M, Siris E,

Melton ME, Turpin J, Byrnes C, Ross P.

Performance of risk indices for identifying low bone density in

postmenopausal

women.

Mayo Clin Proc. 2002 Jul;77(7):629-37.

PMID: 12108600 [PubMed - indexed for MEDLINE]

4: van der Voort DJ, Geusens PP, Dinant GJ.

Risk factors for osteoporosis related to their outcome: fractures.

Osteoporos Int. 2001;12(8):630-8.

PMID: 11580076 [PubMed - indexed for MEDLINE]

5: van der Voort DJ, Dinant GJ, Rinkens PE, van der Voort-Duindam

CJ, van

Wersch JW, Geusens PP.

Construction of an algorithm for quick detection of patients with

low bone

mineral density and its applicability in daily general practice.

J Clin Epidemiol. 2000 Nov;53(11):1095-103.

PMID: 11106882 [PubMed - indexed for MEDLINE]

Osteoporosis is defined for the patient. It is age-adjusted and sex-

adjusted.

Cheers, Al.

--- In , " Rodney " <perspect1111@y...>

wrote:

>

> Hi folks:

>

> I have been trying to find **definitive** specific numerical data

for

> the levels of BMD regarded as defining osteopenia and

osteoporosis.

> I have not been able to locate any such indications for males -

there

> is much less osteo data for males than for females, of course - but

> the following study abstract does indicate the cutoffs used for the

> purposes of this study. If anyone has definitive data from another

> source for either males or females it would be much appreciated if

a

> reference could be posted.

>

> In the following abstract, L2-L4 of 0.970 g/cm^2 is the cutoff for

> low BMD, and 0.800 represents a diagnosis of osteoporosis. The

worst

> of my numbers is appreciably above even the higher of these

cutoffs,

> so, if similar data are applicable to males, then perhaps I was a

bit

> hasty in drawing conclusions. We shall see. But without doubt my

> data are appreciably below the relevant **averages**, so corrective

> action is certainly called for. Here is the abstract:

>

> " Construction of an algorithm for quick detection of patients with

> low bone mineral density and its applicability in daily general

> practice

> Authors: van der Voort, D.J.M.a; Dinant, G.J.a; Rinkens,

P.E.L.M.a;

> van der Voort-Duindam, C.J.M.a; van Wersch, J.W.J.b; Geusens,

P.P.c

> Affiliations: a. University Maastricht, Department of General

> Practice and Research Institute for Extramural and Transmural

Health

> Care, P.O. Box 616, 6200 MD, Maastricht, The Netherlands

> b. Department of Clinical Chemistry, De Wever Hospital, Heerlen,

The

> Netherlands

> c. Department of Internal Medicine, Academic Hospital, Maastricht,

> The Netherlands

> Keyword: Osteoporosis, Diagnostic study, Bone mineral density,

> General practice

> Abstract (English): Objective: To construct a quick algorithm to

> detect patients with low bone mineral density (BMD) and

osteoporosis

> and determine its applicability in daily general practice. Design:

> Cross-sectional study in all 9107 postmenopausal women, aged 50–80,

> registered at 12 general practice centers. Subjects and

measurements:

> All healthy women (5303) and 25% of the remaining group (943/3804)

> were invited to participate. Of 6246 invited women, 4725 (76%)

> participated. The women were questioned (state of health, medical

> history, family history, and food questionnaire) and examined

> [weight, height, body mass index (BMI), and BMD of the lumbar

spine].

> Statistics: Multivariable, stepwise backward and forward logistic

> regression analyses were performed, with BMD of the lumbar spine

(L2-

> L4, cut-off points at 0.800 g/cm2 for osteoporosis and 0.970 g/cm2

> for low BMD) as the dependent variable. An algorithm was

constructed

> with those variables that correlated statistically significantly

and

> clinically relevant with the presence of both osteoporosis and low

> BMD. Results: The prevalence of osteoporosis was 23%, that of low

BMD

> was 65%. Only three variables (age, BMI, and fractures) were

> statistically significant and clinically relevant correlated with

the

> presense of both osteoporosis and low BMD. Age (OR 2.70 for

> osteoporosis and OR 1.77 for low BMD) and fractures during the past

> five years (OR 3.60 for osteoporosis and OR 2.85 for low BMD) were

> found to be the key predictors. From the algorithm the absolute

risks

> varied from 9% to 51% for osteoporosis and from 48% to 84% for low

> BMD. The corresponding relative risks varied from 1.0 to 5.7 and

from

> 1.0 to 1.8. Conclusions: Using an algorithm with age, BMI, and

> fracture history subgroups at high risk could be identified.

However,

> in whatever combination, many women with osteoporosis could not be

> identified. Despite the differences in methods, we found predictors

> for osteoporosis which were comparable with the results of other

> cross-sectional studies, meaning that the first selection of

patients

> at high risk for low BMD can be done adequately by both specialists

> and general practitioners. "

>

> This study does not appear to be listed in Pubmed.

>

> Rodney.