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Diagnostic Accuracy of Noninvasive Bone Turnover Markers in Renal Osteodystrophy

医学 骨重建 肾性骨营养不良 泌尿科 肾脏疾病 生物标志物 前胶原肽酶 内科学 队列 接收机工作特性 胃肠病学 病理 N-末端末端肽 碱性磷酸酶 骨钙素 生物化学 化学
作者
H. Jørgensen,Geert J. Behets,Liesbeth Viaene,Bert Bammens,Kathleen Claes,Björn Meijers,Maarten Naesens,Ben Sprangers,Dirk Kuypers,Étienne Cavalier,Patrick C. D’Haese,Pieter Evenepoel
出处
期刊:American Journal of Kidney Diseases [Elsevier]
卷期号:79 (5): 667-676.e1 被引量:40
标识
DOI:10.1053/j.ajkd.2021.07.027
摘要

Rationale & Objective Bone biopsy remains the gold standard for diagnosing renal osteodystrophy as comparable noninvasive alternatives have yet to be established. This study investigated the diagnostic accuracy of biochemical markers of skeletal remodeling to predict bone turnover. Study Design Cross-sectional retrospective diagnostic test study. Setting & Participants Patients with chronic kidney disease glomerular filtration rate categories 4-5, including patients treated with dialysis (G4-G5D) and kidney transplant recipients with successful transiliac bone biopsies. Tests Compared Bone turnover as determined by bone histomorphometry was compared with the following biochemical markers: full-length (amino acids 1-84) “biointact” parathyroid hormone (PTH), bone-specific alkaline phosphatase (BsAP), intact procollagen type I N-terminal propeptide (PINP), and tartrate-resistant acid phosphatase isoform 5b (TRAP5b). Outcome Diagnostic performance was evaluated by area under the receiver operator characteristics curve (AUC), sensitivity, specificity, and negative and positive predictive values. Optimal diagnostic cutoffs were determined in an exploration cohort (n = 100) and validated in a separate cohort (n = 99). Results All biomarkers differed across categories of low 33 (17%), normal 109 (55%), and high 57 (29%) bone turnover. AUC values were in the range of 0.75-0.85. High negative predictive values (≥90%) were found for both high and low bone turnover, indicating the ability to rule out both conditions using the suggested biomarker cutoffs. The highest diagnostic performances were seen with combinations of biomarkers, with overall diagnostic accuracies of 90% for high turnover, and 78% for low turnover. Results were comparable for kidney transplant candidates and recipients in a sensitivity analysis. Limitations The single-center approach and heterogeneity of the study cohort are main limitations of this study. Conclusions We conclude that the diagnostic performance of biochemical markers of bone turnover is acceptable, with clinical utility in ruling out both high and low turnover bone disease. Bone biopsy remains the gold standard for diagnosing renal osteodystrophy as comparable noninvasive alternatives have yet to be established. This study investigated the diagnostic accuracy of biochemical markers of skeletal remodeling to predict bone turnover. Cross-sectional retrospective diagnostic test study. Patients with chronic kidney disease glomerular filtration rate categories 4-5, including patients treated with dialysis (G4-G5D) and kidney transplant recipients with successful transiliac bone biopsies. Bone turnover as determined by bone histomorphometry was compared with the following biochemical markers: full-length (amino acids 1-84) “biointact” parathyroid hormone (PTH), bone-specific alkaline phosphatase (BsAP), intact procollagen type I N-terminal propeptide (PINP), and tartrate-resistant acid phosphatase isoform 5b (TRAP5b). Diagnostic performance was evaluated by area under the receiver operator characteristics curve (AUC), sensitivity, specificity, and negative and positive predictive values. Optimal diagnostic cutoffs were determined in an exploration cohort (n = 100) and validated in a separate cohort (n = 99). All biomarkers differed across categories of low 33 (17%), normal 109 (55%), and high 57 (29%) bone turnover. AUC values were in the range of 0.75-0.85. High negative predictive values (≥90%) were found for both high and low bone turnover, indicating the ability to rule out both conditions using the suggested biomarker cutoffs. The highest diagnostic performances were seen with combinations of biomarkers, with overall diagnostic accuracies of 90% for high turnover, and 78% for low turnover. Results were comparable for kidney transplant candidates and recipients in a sensitivity analysis. The single-center approach and heterogeneity of the study cohort are main limitations of this study. We conclude that the diagnostic performance of biochemical markers of bone turnover is acceptable, with clinical utility in ruling out both high and low turnover bone disease.
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