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Osteoporosis screening in people with airways disease

Department of Medicine, University of Adelaide, SA, Australia; Clinical Epidemiology and Health Outcomes Unit, The Queen Elizabeth Hospital, SA, Australia; Respiratory Medicine, The Queen Elizabeth Hospital, SA, Australiax

H J McElroy

Department of Public Health, University of Adelaide, SA, Australia

L L Laslett

Department of Medicine, University of Adelaide, SA, Australia; Clinical Epidemiology and Health Outcomes Unit, The Queen Elizabeth Hospital, SA, Australia

K D Pile

Department of Medicine, University of Adelaide, SA, Australia; Department of Rheumatology, The Queen Elizabeth Hospital, SA, Australia

P J Phillips

G Phillipov

Department of Endocrinology, The Queen Elizabeth Hospital, SA, Australia

S M Evans

J S Weekley

Clinical Epidemiology and Health Outcomes Unit, The Queen Elizabeth Hospital, SA, Australia

L S Pilotto

Department of General Practice, Flinders University, SA, Australia

We tested associations between risk factors and bone mineral density in airways disease subjects, and developed a clinical screening tool to identify people who could benefit from bone mineral density testing. Subjects were recruited through hospital outpatients and pharmacies (Newcastle, n = 172). With survey refinement, we then tested a revised tool in a second sample (Adelaide, n = 317). Study factors included oral/inhaled corticosteroid use, asthma severity, respiratory admissions, physical activity, percent predicted forced expiratory volume in one second (FEVI), body mass index, and smoking history. Outcomes were bone mineral density of lumbar vertebra (L2–4) and total (or neck of) femur. Analysis was logistic regression with generation of a simple screening algorithm based upon coefficients. Scoring algorithm risk factors for T–score of – 2.0: age 68 = 10 points, bone mineral density <20 = 25, weight <60 kg = 20, 60–69 kg = 10, > 80 cigarette pack years = 15, low–level leisure activity = 5, area under receiver operator curve 0.83. For a cut–off score of 10, sensitivity was 91.2%, specificity 53.9%, positive and negative predictive values 52.3 and 91.7%, and 67.2% were correctly classified. In conclusions, our model has acceptable sensitivity, although limited specificity. Use of this tool may reduce unnecessary referrals for bone mineral density measurement.

Key Words: bone mineral density • chronic obstructive airways disease • osteoporosis screening

Chronic Respiratory Disease, Vol. 2, No. 1, 5-12 (2005)
DOI: 10.1191/1479972305cd051oa


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