Bone turnover markers in the preoperative assessment of bone quality - A prospective investigation of bone microstructure and advanced glycation endproducts in lumbar fusion patients

Introduction Effective tools to evaluate bone quality preoperatively are scarce and the standard method to determine bone quality requires an invasive biopsy. A non-invasive, and preoperatively available method for bone quality assessment would be of clinical value. The purpose of this study is to i...

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Veröffentlicht in:Archives of orthopaedic and trauma surgery 2024-08, Vol.144 (8), p.3291-3301
Hauptverfasser: Haffer, Henryk, Muellner, Maximilian, Chiapparelli, Erika, Zhu, Jiaqi, Han, Yi Xin, Donnelly, Eve, Shue, Jennifer, Hughes, Alexander P.
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Sprache:eng
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Zusammenfassung:Introduction Effective tools to evaluate bone quality preoperatively are scarce and the standard method to determine bone quality requires an invasive biopsy. A non-invasive, and preoperatively available method for bone quality assessment would be of clinical value. The purpose of this study is to investigate the associations of bone formation marker, serum bone alkaline phosphatase (BAP), and bone resorption marker, urine collagen cross-linked N-telopeptide (uNTX) to volumetric bone mineral density (vBMD), fluorescent advanced glycation endproducts (fAGEs) and bone microstructure. Materials and methods A cross-secional analysis using prospective data of patients undergoing lumbar spinal fusion was performed. BAP and uNTX were preoperatively collected. Quantitative computed tomography (QCT) was performed at the lumbar spine (vBMD ≤ 120 mg/cm 3 osteopenic/osteoporotic). Bone biopsies from the posterior superior iliac spine were obtained and evaluated with multiphoton fluorescence microscopy for fAGEs and microcomputed tomography (µCT) for bone microarchitecture. Correlations between BAP/uNTX to vBMD, fAGEs and µCT parameters were assessed with Spearman’s ρ. Receiver operating characteristic (ROC) analysis evaluated BAP and uNTX as predictors for osteopenia/osteoporosis. Multivariable linear regression models adjusting for age, sex, BMI, race and diabetes mellitus determined associations between BAP/uNTX and fAGEs. Results 127 prospectively enrolled patients (50.4% female, 62.5 years, BMI 28.7 kg/m 2 ) were analyzed. uNTX (ρ=-0.331, p  
ISSN:1434-3916
0936-8051
1434-3916
DOI:10.1007/s00402-024-05459-3