Literature DB >> 17311861

Hip and nonvertebral fracture prediction in nursing home patients: role of bone ultrasound and bone marker measurements.

Harald Dobnig1, Jutta Claudia Piswanger-Sölkner, Barbara Obermayer-Pietsch, Andreas Tiran, Andrea Strele, Elisabeth Maier, Peter Maritschnegg, Gunter Riedmüller, Carolin Brueck, Astrid Fahrleitner-Pammer.   

Abstract

CONTEXT: Absolute fracture risk in nursing home patients is the highest among the communities studied. Screening for high-risk patients in such an environment is usually difficult.
OBJECTIVE: The objective was to investigate whether quantitative bone ultrasound measurements and/or markers of bone turnover/metabolism help in predicting which patients will incur hip or nonvertebral fractures. DESIGN, SETTING, AND PARTICIPANTS: In this prospective study, mobile teams enrolled 1664 female patients from 95 nursing homes in Austria. MAIN OUTCOME MEASURES: Calcaneal stiffness (n = 1117), radial speed of sound (SOS) (n = 1332), and phalangeal SOS (n = 1498) measurements were performed at baseline. Serum samples (n = 960) were analyzed for serum calcium and phosphate, 25 hydroxyvitamin D, PTH, osteocalcin, C-terminal telopeptide crosslinks, and osteoprotegerin (OPG). Patients were prospectively followed for hip and other nonvertebral fractures for 2 yr.
RESULTS: A total of 117 hip fractures and 269 nonvertebral fractures developed during a mean observation period of 2 yr. Prevalence of vitamin D deficiency and secondary hyperparathyroidism was high. A history of a past fracture was significantly associated with a hazard ratio (HR) of 1.47 (95% confidence interval, 1.01-2.15) and 1.65 (1.26-2.16) for the development of hip and nonvertebral fractures, respectively. Cox regression analysis revealed a multivariate adjusted elevation in both hip [HR 1.30 (1.12-1.43)] and nonvertebral [HR 1.14 (1.02-1.25)] fracture risk for each sd decrease in calcaneal stiffness. Patients in the lowest quartile for calcaneal stiffness Z-score had 2.5 and 1.2 times higher rates of hip and nonvertebral fractures when compared with patients in the highest quartile. Fracture rates were not statistically associated with baseline radial or phalangeal SOS measurements or with serum osteocalcin, C-terminal telopeptide crosslinks, and OPG concentrations. When adjusted for bone mass, higher serum OPG levels were associated with fewer hip as well as nonvertebral fractures [HR 0.85 (0.73-0.99) and 0.89 (0.80-0.99) per increment of 1]. Higher serum phosphate levels indicated an increased hip [HR 1.54 (1.07-2.21)] and nonvertebral fracture risk [HR 1.40 (1.10-1.78) per increase of 1 mg/dl]. Body mass index was protective of hip fractures [HR 0.94 (0.90-0.98) per increase of 1] as well as medication with acetylsalicylic acid [HR 0.59 (0.36-0.95) for hip and 0.72 (0.52-0.99) for nonvertebral fractures]. In contrast, current use of glucocorticoids [HR 5.65 (1.77-18.0)] and opiates [HR 1.85 (1.18-2.92)] exerted a negative effect on prospective hip fracture risk.
CONCLUSION: Calcaneal stiffness measurements proved to be useful in predicting hip fractures and to a lesser extent nonvertebral fractures in nursing home residents. Radial and phalangeal bone ultrasound measurements and baseline markers of bone turnover, however, were not indicative of future fracture risk in this population.

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Year:  2007        PMID: 17311861     DOI: 10.1210/jc.2006-2079

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  15 in total

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Authors:  Sarah D Berry; Andrew R Zullo; Yoojin Lee; Vincent Mor; Kevin W McConeghy; Geetanjoli Banerjee; Ralph B D'Agostino; Lori Daiello; David Dosa; Douglas P Kiel
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2018-05-09       Impact factor: 6.053

2.  Associations of homoarginine with bone metabolism and density, muscle strength and mortality: cross-sectional and prospective data from 506 female nursing home patients.

Authors:  S Pilz; A Meinitzer; A Tomaschitz; K Kienreich; H Dobnig; M Schwarz; D Wagner; C Drechsler; C Piswanger-Sölkner; W März; A Fahrleitner-Pammer
Journal:  Osteoporos Int       Date:  2012-03-17       Impact factor: 4.507

3.  Pharmacologic undertreatment of osteoporosis in Austrian nursing homes and senior's residences.

Authors:  Peter Pietschmann; Ursula Azizi-Semrad; Katharina Pils; Astrid Fahrleitner-Pammer; Heinrich Resch; Harald Dobnig
Journal:  Wien Klin Wochenschr       Date:  2010-08-23       Impact factor: 1.704

4.  Bone Turnover Markers Are Not Associated With Hip Fracture Risk: A Case-Control Study in the Women's Health Initiative.

Authors:  Carolyn J Crandall; Sowmya Vasan; Andrea LaCroix; Meryl S LeBoff; Jane A Cauley; John A Robbins; Rebecca D Jackson; Douglas C Bauer
Journal:  J Bone Miner Res       Date:  2018-06-19       Impact factor: 6.741

5.  Risk factors for incident vertebral fractures in osteoporosis pharmacotherapy: a 2-year, prospective, observational study.

Authors:  Hiroshi Hagino; Yukari Uemura; Satoshi Mori; Teruki Sone; Hiroaki Ohta; Toshitaka Nakamura
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6.  Association of circulating dipeptidyl-peptidase 4 levels with osteoporotic fracture in postmenopausal women.

Authors:  H Kim; K H Baek; S-Y Lee; S H Ahn; S H Lee; J-M Koh; Y Rhee; C H Kim; D-Y Kim; M-I Kang; B-J Kim; Y-K Min
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Review 7.  Clinical Devices for Bone Assessment.

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8.  Biochemical markers of bone turnover: potential use in the investigation and management of postmenopausal osteoporosis.

Authors:  P Szulc; P D Delmas
Journal:  Osteoporos Int       Date:  2008-07-16       Impact factor: 4.507

9.  Commonly Initiated Opioids and Risk of Fracture Hospitalizations in United States Nursing Homes.

Authors:  Jacob N Hunnicutt; Anne L Hume; Shao-Hsien Liu; Christine M Ulbricht; Jennifer Tjia; Kate L Lapane
Journal:  Drugs Aging       Date:  2018-10       Impact factor: 3.923

Review 10.  Markers of bone turnover for the prediction of fracture risk and monitoring of osteoporosis treatment: a need for international reference standards.

Authors:  S Vasikaran; R Eastell; O Bruyère; A J Foldes; P Garnero; A Griesmacher; M McClung; H A Morris; S Silverman; T Trenti; D A Wahl; C Cooper; J A Kanis
Journal:  Osteoporos Int       Date:  2010-12-24       Impact factor: 4.507

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