1.Value of Blood Uric Acid/Creatinine Ratio and Osteoporosis Self-Assessment Tool for Asians for Predicting Osteoporosis in Middle-Aged,Older,and Elderly Adult Tibetan Populations in Xizang
Kangzhi DING ; Peng WANG ; Jing ZHANG ; Yufei ZHANG ; Hai XIONG
Journal of Sichuan University (Medical Sciences) 2025;56(1):247-253
Objective To explore the predictive value of the blood uric acid/creatinine ratio(SUA/Cr)and the Osteoporosis Self-Assessment Tool for Asians(OSTA)for osteoporosis(OP)in middle-aged,older,and elderly adult Tibetan populations in Xizang.Methods A total of 1058 middle-aged and older adult ethnic Tibetans who underwent physical examination in Xizang between June 2020 and December 2023 were selected for the study.Fasting venous blood samples were collected for laboratory analysis.The bone mineral density(BMD)of the radius of the participants was measured using dual-energy X-ray absorptiometry.Based on the BMD measurement results and OP diagnostic criteria,participants were divided into the OP group(n=759)and the non-OP group(n=299).Multivariate logistic stepwise regression analysis was used to further identify independent predictors associated with OP risk in the middle-aged and older adult Tibetan population.The predictive value of SUA/Cr and OSTA for OP was evaluated using the receiver operating characteristic(ROC)curve.Results 1)The OP prevalence among the middle-aged and older adult Tibetan populations was 28.3%(299 people),including 209 females(69.9%)and 90 males(30.1%).Significant differences between the two groups were found in terms of age(OP group:62[54,69]vs non-OP group:56[51,62]),SUA/Cr(OP group:6.86[5.06,10.23]vs non-OP group:5.36[4.36,6.52]),and OSTA(OP group:[-1.27±3.06]vs non-OP group:[1.25±2.68])(P<0.05).2)SUA/Cr(OR:1.592,95%CI:1.469-1.726)was identified as a risk factor for OP,while OSTA(OR:0.706,95%CI:0.662-0.752)was a protective factor for OP(P<0.05).3)For gender-based group analysis,the combined use of SUA/Cr and OSTA showed better diagnostic performance for OP,with AUCs of 0.807(95%CI:0.751-0.863)for males and 0.820(95%CI:0.782-0.857)for females.For age-based group analysis,the combined diagnosis of OP using SUA/Cr and OSTA provided the best performance,with the optimal cutoff value increasing with age.4)In the middle-aged group and the older adult male group,the combined use of SUA/Cr and OSTA for OP diagnosis was more effective than using SUA/Cr or OSTA alone(P<0.001).In the elderly adult male group,the AUC for SUA/Cr was 0.954(95%CI:0.858-1.000),with a sensitivity of 88.9%and specificity of 100.0%,indicating excellent predictive performance.In females,the diagnostic effectiveness of OSTA and the combined use of SUA/Cr and OSTA increased with age across different age groups.Conclusion The predictive performance of SUA/Cr and OSTA for OP varies across different sex and age groups in the Tibetan population.Both SUA/Cr and OSTA can be used to predict OP in middle-aged and older adult Tibetan populations,with the combined use of SUA/Cr and OSTA providing better predictive performance.
2.Correlation of serum creatinine, hemoglobin and BMI with osteoporosis and its predictive value in middle-aged and elderly Tibetan residents in Xizang
Kangzhi DING ; Peng WANG ; Jing ZHANG ; Yufei ZHANG ; Hai XIONG
Journal of Xi'an Jiaotong University(Medical Sciences) 2024;45(6):1013-1019
[Objective] To analyze the correlation of serum creatinine (Cr), hemoglobin (HGB) and body mass index (BMI) with osteoporosis in middle-aged and elderly Tibetan residents in Xizang and its predictive value for osteoporosis. [Methods] Between November 2021 and August 2023, using multistage random cluster sampling method information on demographics, we collected blood indices and bone mineral density from 564 middle-aged and elderly Tibetan residents in Ali (Pulan, Zada, Ritu, and Rezhe counties), Nagchu (Nagchu, Nyima, Amdo, Shuanghu, and Bango counties), Shannan (Lunzi county), and Lhasa (Nimu county), Tibetan regions. They were divided into osteoporosis group (90 cases) and non-osteoporosis group (474 cases) according to whether they suffered from osteoporosis or not. Pearson correlation method was used to analyze the correlation between bone mineral density (BMD) and each variable. Binary Logistic regression was used to analyze the related influencing factors of osteoporosis in middle-aged and elderly Tibetan residents, and the regression equation model of predicting the risk factors of osteoporosis was constructed. The fitting degree of the model was tested by Hosmer-Lemeshow test model. Receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of serum Cr, HGB and BMI combined tests on osteoporosis in middle-aged and elderly Tibetan residents in Xizang. [Results] The prevalence of osteoporosis was higher in females than in males. Among the osteoporosis group, height and weight, alanine aminotransferase, glutamine aminotransferase, urea nitrogen, uric acid, total cholesterol, triglyceride, low-density lipoprotein cholesterol, homocysteine, serum Cr, HGB and BMI were significantly lower (P<0.05). Correlation analysis showed that age was negatively correlated with BMD, while body weight, serum Cr, HGB and BMI were positively correlated with BMD (P<0.05). Multivariate binary Logistic results showed that age (OR=1.085), serum Cr (OR=0.891), BMI (OR=0.475), and HGB (OR=0.966) were the influencing factors for the occurrence of osteoporosis (P<0.05). To establish a prediction model for the risk of osteoporosis, Logit(P)=6.265+ 0.086×age + (-0.109×Cr)+ (-0.020×HGB)+ (-0.213×BMI). The area under the ROC curve was 0.932, the sensitivity was 88.9%, and the specificity was 82.5%. Hosmer-Lemeshow test model had a good fit (P=0.960). According to Logit(P) model, L score=-29.413+ (-0.404×age)+ 0.512×Cr+ 0.094×HGB+ BMI could be calculated. When L score >8.9, the patient could be diagnosed with the disease. [Conclusion] The decrease in serum Cr, HGB and BMI is a risk factor for osteoporosis in Tibetan aged residents. Age was negatively correlated with BMD, while serum Cr, HGB and BMI were positively correlated with BMD. The combined model of age, serum Cr, HGB and BMI can significantly improve the diagnostic efficiency of osteoporosis in the elderly Tibetans in Xizang.

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