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RHEUMATOLOGY / CLINICAL RESEARCH
The correlation between coagulation biomarkers, bone
turnover markers, and bone mineral density in Chinese
adults aged ≥ 50 years
1
Shi’s Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, China
2
Institute of Traumatology & Orthopedics, Shanghai Academy of Traditional Chinese Medicine, China
3
Center of Orthopedics and Traumatology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), China
4
Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China
5
Department of Orthopedic Surgery, Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China
6
Translational Medical Innovation Center, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Jiangsu, China
7
Department of Orthopedics, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Jiangsu, China
These authors had equal contribution to this work
Submission date: 2023-10-24
Final revision date: 2024-02-12
Acceptance date: 2024-02-20
Online publication date: 2024-03-07
Corresponding author
Zhengyan Li
Shi’s Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, China
Shi’s Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, China
Arch Med Sci 2024;20(6):1854-1863
KEYWORDS
TOPICS
ABSTRACT
Introduction:
Osteoporosis patients undergoing surgery often have significant bleeding, which is closely related to coagulation function. This study aimed to assess the correlation between bone turnover markers (BTMs), bone mineral density (BMD), and coagulation biomarkers.
Material and methods:
Cases meeting the inclusion criteria were included from our center from January 2020 to December 2021. The relationships between coagulation biomarkers, BTMs, and BMD were investigated by Spearman correlation analysis and canonical correlation analysis (CCA). Consequently, age, bone mass stage, 25-hydroxyvitamin D (25-(OH)D), and BMD were included as independent variables in the logistic regression model. Furthermore, the international normalized ratio (INR), fibrinogen, platelets, and D-dimer levels were set as dependent variables in the regression analysis. Finally, multivariable regressions were conducted to adjust for differences in demographics and comorbidities among groups.
Results:
A total of 306 patients were included in the study. Significant differences were observed in prothrombin time, fibrinogen, INR, D-dimer, and platelets (p < 0.05). D-dimer exhibited the most significant positive association with age and the most pronounced negative correlation with the BMD of Ward’s triangle (r = 0.322, p < 0.001; r = –0.298, p < 0.001; respectively). 25-(OH)D and calcium were related to coagulation biomarkers. Multivariate analysis demonstrated that age was positively associated with D-dimer levels (odd ratio [OR] = 1.046, p = 0.007), while the BMD of Ward’s triangle was negatively related to D-dimer levels (OR = 0.004, p = 0.0017).
Conclusions:
For the Chinese population aged 50 and above, attention should be paid to alterations in coagulation biomarkers.
Osteoporosis patients undergoing surgery often have significant bleeding, which is closely related to coagulation function. This study aimed to assess the correlation between bone turnover markers (BTMs), bone mineral density (BMD), and coagulation biomarkers.
Material and methods:
Cases meeting the inclusion criteria were included from our center from January 2020 to December 2021. The relationships between coagulation biomarkers, BTMs, and BMD were investigated by Spearman correlation analysis and canonical correlation analysis (CCA). Consequently, age, bone mass stage, 25-hydroxyvitamin D (25-(OH)D), and BMD were included as independent variables in the logistic regression model. Furthermore, the international normalized ratio (INR), fibrinogen, platelets, and D-dimer levels were set as dependent variables in the regression analysis. Finally, multivariable regressions were conducted to adjust for differences in demographics and comorbidities among groups.
Results:
A total of 306 patients were included in the study. Significant differences were observed in prothrombin time, fibrinogen, INR, D-dimer, and platelets (p < 0.05). D-dimer exhibited the most significant positive association with age and the most pronounced negative correlation with the BMD of Ward’s triangle (r = 0.322, p < 0.001; r = –0.298, p < 0.001; respectively). 25-(OH)D and calcium were related to coagulation biomarkers. Multivariate analysis demonstrated that age was positively associated with D-dimer levels (odd ratio [OR] = 1.046, p = 0.007), while the BMD of Ward’s triangle was negatively related to D-dimer levels (OR = 0.004, p = 0.0017).
Conclusions:
For the Chinese population aged 50 and above, attention should be paid to alterations in coagulation biomarkers.
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