Literature DB >> 6856387

An accurate and reproducible absorptiometric technique for determining bone mineral content in newborn infants.

F R Greer, J Lane, S Weiner, R B Mazess.   

Abstract

At the Bone Mineral Laboratory of the University of Wisconsin a microcomputer-based digital read-out system was designed specifically for determining bone mineral content (BMC) and bone width (BW) in newborn infants with the following features: (1) high accuracy and precision; (2) high reproducibility in vivo; (3) direct read-out of BMC and BW; (4) automatic data calibration; and (5) use of a low activity [125I] source (less than 50 mCi). BMC and BW were determined on the left radius on a series of 114 newborn infants of all gestational ages and a curve for intrauterine bone mineral content extrapolated from the data. Accuracy of the photon absorptiometric system was assessed by measuring BMC on a series of nine small bone sections (29-212 mg/cm) and confirmed by subsequent ashing of these bone sections (r = 0.99). Short-term precision (weekly, coefficient of variation 1.7%) and long-term precision (monthly, coefficient of variation 2.1%) for measuring BMC were determined by multiple determinations on a four-chambered bone phantom calibrated with the bone sections. Immediate reproducibility (without repositioning the arm) for the 4-6 scans performed for each determination of BMC and BW was good with a mean coefficient of variation of 3.9% for BMC and 3.6% for BW. In 84 infants, repositioning error was determined by repeating the measurement of BMC and BW after repositioning the arm. The correlation coefficients between measurements before and after repositioning the arm were 0.97 for BMC and 0.95 for BW. BMC correlated well with gestational age (r = 0.92), birth weight (r = 0.89) and bone width (r = 0.92). BW also correlated with gestational age (r = 0.84) and birth weight (r = 0.85). A multiple linear regression analysis of BMC versus BW, gestational age, and birth weight was done. The correlation coefficient between the predicted BMC from these variables and measured BMC was 0.95. Photon absorptiometry can be used with high accuracy, precision, and reproducibility in vivo in newborn infants. BMC correlates with gestational age, birth weight, and bone width.

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Year:  1983        PMID: 6856387     DOI: 10.1203/00006450-198304000-00005

Source DB:  PubMed          Journal:  Pediatr Res        ISSN: 0031-3998            Impact factor:   3.756


  8 in total

Review 1.  Bone disease in preterm infants.

Authors:  N Bishop
Journal:  Arch Dis Child       Date:  1989-10       Impact factor: 3.791

2.  Osteopenia in extremely low birthweight infants.

Authors:  A Horsman; S W Ryan; P J Congdon; J G Truscott; J R James
Journal:  Arch Dis Child       Date:  1989-04       Impact factor: 3.791

3.  Bone mineralisation in preterm infants measured by dual energy radiographic densitometry.

Authors:  A J Lyon; D J Hawkes; M Doran; N McIntosh; F Chan
Journal:  Arch Dis Child       Date:  1989-07       Impact factor: 3.791

4.  Mineral content of the forearms of babies.

Authors:  F R Greer; R B Mazess
Journal:  Br Med J (Clin Res Ed)       Date:  1983-11-05

5.  Mineral accretion in the human fetus.

Authors:  S Ryan; P J Congdon; J James; J Truscott; A Horsman
Journal:  Arch Dis Child       Date:  1988-07       Impact factor: 3.791

6.  Effects of 1,25(OH)2D3 on bone tissue in the rabbit: studies on fracture healing, disuse osteoporosis, and prednisone osteoporosis.

Authors:  J U Lindgren; H F DeLuca; R B Mazess
Journal:  Calcif Tissue Int       Date:  1984-09       Impact factor: 4.333

Review 7.  Inside the "fragile" infant: pathophysiology, molecular background, risk factors and investigation of neonatal osteopenia.

Authors:  Charalampos Dokos; Christos Tsakalidis; Athanasios Tragiannidis; Dimitrios Rallis
Journal:  Clin Cases Miner Bone Metab       Date:  2013-05

8.  Growth and Bone Mineralization of Very Preterm Infants at Term Corrected Age in Relation to Different Nutritional Intakes in the Early Postnatal Period.

Authors:  Michelle N Körnmann; Viola Christmann; Charlotte J W Gradussen; Laura Rodwell; Martin Gotthardt; Johannes B Van Goudoever; Arno F J Van Heijst
Journal:  Nutrients       Date:  2017-12-02       Impact factor: 5.717

  8 in total

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