title: Vitamin K in combination with other biochemical markers to diagnose osteoporosis.
abstract: The significance of a multiparametric classification approach of vitamin K is analysed to differentiate premenopausal (CTRL), postmenopausal non-osteoporotic (nOSP) and osteoporotic (OSP) women. Data records of women between 28 and 74 years of age were used for evaluation. Bone mineral density was determined by quantitative computed tomography of the lumbar spine using the T-score to diagnose osteoporosis. Vitamin K and biochemical markers of bone formation and resorption--alkaline phosphatase (AP), bone alkaline phosphatase (bAP), osteocalcin (OC), undercarboxylated osteocalcin (ucOC), procollagen type I carboxyterminal propeptide (PICP), pyridinoline (PYD), deoxypyridinoline (DPD), N-terminal cross-linked telopeptide of type I collagen (NTx) and bone sialo protein (BSP)--were analysed in all women on days 1 and 42. Vitamin K was significantly lower in the OSP group versus nOSP and CTRL. The odds ratio results revealed the following: vitamin K, 16.7; PYD, 7.5; NTx, 6.0; DPD, 2.7; and ucOC, 2.7. Vitamin K represented a sensitivity rate of 64% and a specificity rate of 82%. In the receiver operating curve analysis, vitamin K reached the highest area under curve (AUC) score. The combination of vitamin K and AP, bAP and PYD resulted in increased AUC scores (>0.9). The parameter combination of vitamin K/PYD and vitamin K/bAP demonstrated a sensitivity rate of 75-88%, with a specificity rate of more than 82%. The data suggests that a combination of vitamin K with other biochemical bone indices might be a useful tool for assessing bone metabolism, especially in metabolic bone diseases such as osteoporosis.
authors.affiliation: Department of Trauma Surgery, Justus-Liebig-University of Giessen, Rudolf-Buchheim-Strasse 7, D-35385 Giessen, Germany. christian.heiss@chiru.med.uni-giessen.de
authors.forename: C
authors.initials: C
authors.lastname: Heiss
authors.forename: L M
authors.initials: LM
authors.lastname: Hoesel
authors.forename: U
authors.initials: U
authors.lastname: Wehr
authors.forename: T
authors.initials: T
authors.lastname: Keller
authors.forename: U
authors.initials: U
authors.lastname: Horas
authors.forename: C
authors.initials: C
authors.lastname: Meyer
authors.forename: W
authors.initials: W
authors.lastname: Rambeck
authors.forename: R
authors.initials: R
authors.lastname: Schnettler
mesh_terms: D000328:Adult; D000368:Aged; D000469:Alkaline Phosphatase / Q000378:metabolism; D000596:Amino Acids / Q000737:chemistry; D000818:Animals; D019540:Area Under Curve; D015415:Biomarkers; D015519:Bone Density; D002264:Carboxylic Acids / Q000737:chemistry; D003094:Collagen / Q000737:chemistry; D003720:Densitometry; D005260:Female; D006801:Humans; D008875:Middle Aged; D015675:Osteocalcin / Q000378:metabolism; D010024:Osteoporosis / Q000097:blood* / Q000175:diagnosis*; D015663:Osteoporosis, Postmenopausal / Q000097:blood* / Q000175:diagnosis*; D017698:Postmenopause; D017697:Premenopause; D012372:ROC Curve; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed; D014812:Vitamin K / Q000097:blood* / Q000378:metabolism
chemical_list: D000596:Amino Acids; D015415:Biomarkers; D002264:Carboxylic Acids; D015675:Osteocalcin; D014812:Vitamin K; C015484:pyridinoline; C036020:deoxypyridinoline; D003094:Collagen; D000469:Alkaline Phosphatase