F E McKiernan1, R L Berg, J G Linneman. 1. Center for Bone Disease, Marshfield Clinic, 1000 North Oak Avenue, Marshfield, WI, USA. mckiernan.fergus@marshfieldclinic.org
Abstract
UNLABELLED: This very large dual X-ray absorptiometry (DXA) cohort confirmed a significant, inverse relationship between bone mineral density (BMD) Z-scores and the presence of secondary causes of osteoporosis but receiver operating characteristic (ROC) curves indicate that Z-score diagnostic thresholds (such as -2.0) discriminate poorly between the presence and absence of secondary causes of osteoporosis. INTRODUCTION: BMD Z-score diagnostic thresholds have been proposed to detect secondary causes of osteoporosis. To determine the sensitivity and diagnostic utility of such thresholds, we analyzed comprehensive BMD and personal health information data from a large, multispecialty group practice. METHODS: Adult subjects were assigned their lowest axial BMD Z-score and ICD-9 diagnosis codes for secondary causes of osteoporosis when cited at least twice in their electronic medical record. Multiple logistic regression was used to model the prevalence of matching ICD-9 codes as a function of Z-score. ROC curves were used to investigate various Z-score cut points for sensitivity and specificity. RESULTS: Eighteen thousand six hundred seventy-four subjects were analyzed. Secondary causes of osteoporosis were identified in 31% of men and 16% of women. The frequency of secondary causes varied with age and between genders and varied inversely with Z-score. No inflection point was observed in this relationship to suggest a useful clinical decision threshold. The difference in mean Z-score of those with and without a secondary cause of osteoporosis was biologically slight (±0.3). Low Z-score diagnostic thresholds were insensitive to the presence of secondary causes of osteoporosis and provided relatively poor predictive value. CONCLUSIONS: This DXA cohort confirmed a significant inverse relationship between Z-score and the presence of secondary causes of osteoporosis but diagnostic Z-score thresholds discriminate poorly between the presence and absence of secondary causes of osteoporosis. If only patients with very low Z-scores are evaluated for secondary causes of osteoporosis the diagnostic specificity may be high but most cases will be missed.
UNLABELLED: This very large dual X-ray absorptiometry (DXA) cohort confirmed a significant, inverse relationship between bone mineral density (BMD) Z-scores and the presence of secondary causes of osteoporosis but receiver operating characteristic (ROC) curves indicate that Z-score diagnostic thresholds (such as -2.0) discriminate poorly between the presence and absence of secondary causes of osteoporosis. INTRODUCTION: BMD Z-score diagnostic thresholds have been proposed to detect secondary causes of osteoporosis. To determine the sensitivity and diagnostic utility of such thresholds, we analyzed comprehensive BMD and personal health information data from a large, multispecialty group practice. METHODS: Adult subjects were assigned their lowest axial BMD Z-score and ICD-9 diagnosis codes for secondary causes of osteoporosis when cited at least twice in their electronic medical record. Multiple logistic regression was used to model the prevalence of matching ICD-9 codes as a function of Z-score. ROC curves were used to investigate various Z-score cut points for sensitivity and specificity. RESULTS: Eighteen thousand six hundred seventy-four subjects were analyzed. Secondary causes of osteoporosis were identified in 31% of men and 16% of women. The frequency of secondary causes varied with age and between genders and varied inversely with Z-score. No inflection point was observed in this relationship to suggest a useful clinical decision threshold. The difference in mean Z-score of those with and without a secondary cause of osteoporosis was biologically slight (±0.3). Low Z-score diagnostic thresholds were insensitive to the presence of secondary causes of osteoporosis and provided relatively poor predictive value. CONCLUSIONS: This DXA cohort confirmed a significant inverse relationship between Z-score and the presence of secondary causes of osteoporosis but diagnostic Z-score thresholds discriminate poorly between the presence and absence of secondary causes of osteoporosis. If only patients with very low Z-scores are evaluated for secondary causes of osteoporosis the diagnostic specificity may be high but most cases will be missed.
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