Evaluation of three risk assessment tools in discriminating fracture status among Chinese patients undergoing hemodialysis

Discriminatory Accuracy of Fracture Risk Assessment Tool in Asian Populations: A Systematic Review and Meta-Analysis

BACKGROUND

This review explores the discriminative ability of fracture risk assessment tool (FRAX) in major osteoporotic fracture (MOF) and hip fracture (HF) risk prediction and the densitometric diagnosis of osteoporosis in Asian populations.

METHODS

We systematically searched the EMBASE, Cochrane, and PubMed databases from the earliest indexing date to January 2024. Studies were included if FRAX was used to identify future osteoporotic fractures or a densitometric diagnosis of osteoporosis in an Asian population and reported the area under the curve (AUC) values. Meta-analyses were conducted after quality assessment for AUC with 95% confidence intervals across the following categories: standard FRAX without/with bone mineral density (BMD), adjusted FRAX, and BMD alone for fracture prediction, as well as standard FRAX for densitometric diagnosis of osteoporosis.

RESULTS

A total of 42 studies were included. The AUC values for predicting fracture risk using FRAX-MOF with BMD (0.73 [0.70-0.77]) was highest compared to FRAX-MOF without BMD (0.72 [0.66-0.77]), and adjusted FRAX-MOF (0.71 [0.65-0.77]). The AUC values for predicting fracture risk using FRAX-HF with BMD (0.77 [0.71-0.83]) was highest compared to FRAX-HF without BMD (0.72 [0.65-0.80]), and adjusted FRAX-HF (0.75 [0.63-0.86]). The AUC values for BMD alone (0.68 [0.62-0.73]) was lowest for fracture prediction. The AUC values for identifying a densitometric diagnosis of osteoporosis was 0.77 [0.70-0.84] and 0.76 [0.67-0.86] using FRAX-MOF and FRAX-HF, respectively.

CONCLUSIONS

FRAX with BMD tends to perform more reliably in predicting HF compared to MOF in Asia. However, its accuracy in predicting fracture risk in Asian populations can be improved through region-specific, long-term epidemiological data.

Impact of osteoporotic risk in men undergoing transcatheter aortic valve replacement: a report from the LAPLACE-TAVI registry

Low body weight and advanced age are among the best predictors of osteoporosis. Osteoporosis Self-Assessment Tool (OST) values are calculated by a simple formula [(body weight in kilograms - age in years) × 0.2] to identify patients at increased risk of osteoporosis. In our recent single-center study, we demonstrated an association between OST and poor outcomes in postmenopausal women after transcatheter aortic valve replacement (TAVR). We aimed to investigate the impact of osteoporotic risk in men with aortic stenosis who underwent TAVR in a large cohort. In this multi-center study, 1,339 men who underwent TAVR between April 2010 and July 2023 were retrospectively analyzed. Women were excluded from the present study. All patients were deemed appropriate for TAVR after a review by a multidisciplinary team. Baseline characteristics of patients were compared by dividing patients into three tertiles, based on the OST value: ≤ - 6.16, - 6.16 to - 4.14, and - 4.14 < for tertiles 1, 2, and 3, respectively. Primary endpoint was all-cause mortality after TAVR. Tertile 1 (patients with the lowest OST values) included older patients with smaller body mass index, lower hemoglobin and albumin levels. In addition, they had greater clinical frailty scale, slower 5-meter walk test, weaker hand grip strength, and more cognitive impairment, indicating increased frailty. They were more severely symptomatic, with lower ejection fractions, smaller aortic valve areas, and more tricuspid regurgitation than were patients in the other two groups. Multivariate analysis revealed that OST tertiles 3 was associated with decreased risk of all-cause mortality (hazard ratio, 0.66; 95% confidence interval, 0.48-0.90), compared with OST tertile 1 as a reference. For OST tertiles 1, 2, and 3, the estimated 1-year survival rates of all-cause mortality post-TAVR were 83.6% ± 1.9%, 91.1% ± 1.4%, and 93.1% ± 1.3%, respectively, (log-rank, p < 0.001).　In conclusions, in men as same as women, osteoporotic risk assessed by OST values was overlapped with increased frailty. The simple OST formula was useful for predicting all-cause mortality in patients undergoing TAVR in large registry datasets.

Impact of osteoporotic risk in women undergoing transcatheter aortic valve replacement

Low body weight and advanced age are reported to be among the best predictors of osteoporosis, and osteoporosis self-assessment tool (OST) values are calculated using a simple formula to identify postmenopausal women at increased risk of osteoporosis. In our recent study, we demonstrated an association between fractures and poor outcomes in postmenopausal women following transcatheter aortic valve replacement (TAVR). In this study, we aimed to investigate the osteoporotic risk in women with severe aortic stenosis and determined whether an OST could predict all-cause mortality following TAVR. The study population comprised 619 women who underwent TAVR. Compared to a quarter of patients with diagnosis of osteoporosis, 92.4% of participants were at high risk of osteoporosis based on OST criteria. When divided into tertiles based on OST values, patients in tertile 1 (lowest OST) displayed increased frailty, a higher incidence of multiple fractures, and greater Society of Thoracic Surgeons scores. Estimated all-cause mortality survival rates 3 years post-TAVR were 84.2 ± 3.0%, 89.5 ± 2.6%, and 96.9 ± 1.7% for OST tertiles 1, 2, and 3, respectively (p = 0.001). Multivariate analysis showed that the OST tertile 3 was associated with decreased risk of all-cause mortality compared with OST tertile 1 as the referent. Notably, a history of osteoporosis was not associated with all-cause mortality. Patients with high osteoporotic risk are highly prevalent among those with aortic stenosis according to the OST criteria. OST value is a useful marker for predicting all-cause mortality in patients undergoing TAVR.

Osteoporosis Risk in Hemodialysis Patients: The Roles of Gender, Comorbidities, Biochemical Parameters, Health and Diet Literacy

Osteoporosis is a common bone health disorder in hemodialysis patients that is linked with a higher morbidity and mortality rate. While previous studies have explored the associated factors of osteoporosis, there is a lack of studies investigating the impacts of health literacy (HL) and digital healthy diet literacy (DDL) on osteoporosis. Therefore, we aimed to investigate the associations of HL, DDL, and other factors with osteoporosis among hemodialysis patients. From July 2020 to March 2021, a cross-sectional study was conducted on 675 hemodialysis patients in eight hospitals in Vietnam. The data were collected by using the osteoporosis self-assessment tool for Asians (OSTA) and the 12-item short form of the health literacy questionnaire (HLS-SF12) on digital healthy diet literacy (DDL) and hemodialysis dietary knowledge (HDK). In addition, we also collected information about the socio-demographics, the clinical parameters, the biochemical parameters, and physical activity. Unadjusted and adjusted multinomial logistic regression models were utilized in order to investigate the associations. The proportion of patients at low, medium, and high levels of osteoporosis risk was 39.6%, 40.6%, and 19.8%, respectively. In the adjusted models, women had a higher likelihood of osteoporosis risk than men (odds ratio, OR, 3.46; 95% confidence interval, 95% CI, 1.86, 6.44; p < 0.001; and OR, 6.86; 95% CI, 2.96, 15.88; p < 0.001). The patients with rheumatoid arthritis (OR, 4.37; 95% CI, 1.67, 11.52; p = 0.003) and stomach ulcers (OR, 1.95; 95% CI, 1.01, 3.77; p = 0.048) were more likely to have a higher likelihood of osteoporosis risk than those without. The patients who had a higher waist circumference (WC), HL, and DDL were less likely to have a medium level of osteoporosis risk (OR, 0.95; 95% CI, 0.92, 0.98; p = 0.004; OR, 0.92; 95% CI, 0.88, 0.96; p < 0.001; OR, 0.96; 95% CI, 0.93, 0.99; p = 0.017, respectively) and a high level of osteoporosis risk (OR, 0.93; 95% CI, 0.89, 0.97; p = 0.001; OR, 0.89; 95% CI, 0.84, 0.94; p < 0.001; OR, 0.95; 95% CI, 0.91, 0.99; p = 0.008, respectively) compared with a low level of osteoporosis risk and to those with a lower WC, HL, and DDL. In addition, higher levels of hemoglobin (Hb) (OR, 0.79; 95% CI, 0.66, 0.95; p = 0.014), hematocrit (Hct) (OR, 0.95; 95% CI, 0.92, 0.99; p = 0.041), albumin (OR, 0.91; 95% CI, 0.83, 0.99; p = 0.030), and education (OR, 0.37; 95% CI, 0.16, 0.88; p = 0.025) were associated with a lower likelihood of a high level of osteoporosis risk. In conclusion, osteoporosis risk is highly prevalent in hemodialysis patients. Improved HL, DDL, education, WC, albumin, Hb, and Hct levels should be considered in preventing hemodialysis patients from developing osteoporosis.

Prevalence and predictors of asymptomatic vertebral fracture in patients with end-stage renal disease

Objective

This study aimed to investigate the prevalence and predictors of asymptomatic vertebral fracture in patients with end-stage renal disease undergoing hemodialysis.

Methods

This cross-sectional study included 80 patients with end-stage renal disease undergoing hemodialysis. Medical history, Fracture Risk Assessment Tool and anteroposterior and lateral radiographs of the thoracolumbar and lumbosacral spine were obtained. Vertebral fractures were identified using the Genant semiquantitative assessment.

Results

Radiography demonstrated asymptomatic vertebral fracture in 22 patients (27.5%). FRAX® results for major osteoporotic fracture (area under the curve, 0.64) and hip fracture (area under the curve, 0.62) were able to discriminate patients with prevalent asymptomatic vertebral fracture. A multivariate analysis demonstrated that a 1-year average corrected calcium (odds ratio, 0.38), steroid use (odds ratio, 8.99), and a serum albumin concentration <25 g/dL (odds ratio, 28.82) significantly predicted prevalent asymptomatic vertebral fracture (clinical model; area under the curve, 0.82). Combining the 1-year average corrected calcium and serum albumin concentration <25 g/dL with FRAX® results for major osteoporotic fracture (area under the curve, 0.78) and FRAX® results for hip (area under the curve, 0.75) produced a significantly greater area under the curve value to predict fracture when compared with FRAX® result for major osteoporotic fracture and FRAX® result for hip (P = 0.022).

Conclusion

Asymptomatic vertebral fracture is prevalent. FRAX® results for major osteoporotic fracture and hip provided lower ability in predicting asymptomatic vertebral facture when compared to the clinical model. Combining a 1-year average corrected calcium and serum albumin concentration <25 g/dL with FRAX® result for major osteoporotic fracture or hip improved the model's performance and provided comparable area under the curve to the clinical model.

WITHDRAWN: Health risk assessment and health management of urban residents facing epidemic pneumonia

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FRAX prognostic and intervention thresholds in the management of major bone fractures in hemodialysis patients: A two-year prospective multicenter cohort study

PURPOSE

The usefulness of FRAX in predicting major bone fractures in patients with end-stage kidney disease on maintenance hemodialysis treatment has been confirmed in previous studies. For meaningful clinical use, the prognostic and intervention FRAX thresholds need to be established.

METHODS

The primary aim of our study was to calculate the optimal cut-off point of FRAX for the best prediction of an increased bone fracture risk in dialysis patients and additionally, to propose its intervention threshold, indicating the need for antifracture pharmacological treatment. The study included 718 hemodialysis patients, who were followed up for two years. Thirty low-energy major bone fractures were diagnosed during the study period. We used the Polish version of FRAX (without the DXA examination) and some particular variables of the FRAX calculator. The optimal cut-off point for prediction of an increased major bone fracture risk was based on the analysis of the sensitivity and specificity curves of FRAX.

RESULTS

The analysis revealed FRAX >5% (sensitivity of 70.0%, specificity of 69.8%) as the prognostic threshold for major bone fractures. Its sensitivity for bone fracture prediction was significantly higher, but specificity lower than those of FRAX ≥10%, used in general Polish population. The reason for this can be an underestimation of bone fracture risk with FRAX in dialysis patients.

CONCLUSIONS

We conclude that the FRAX prognostic threshold for identification of an increased risk of major bone fractures in hemodialysis patients is >5%. We propose to use this specific value of FRAX as an intervention threshold for pharmacological antifracture treatment in hemodialysis patients.

Predicting the intervention threshold for initiating osteoporosis treatment among postmenopausal women in China: a cost-effectiveness analysis based on real-world data

This study built a micro-simulation Markov model to determine the treatment threshold of osteoporosis in postmenopausal women in Mainland China. Treatment with zoledronate is cost-effective when FRAX-based (Fracture risk assessment tool) fracture probability is over 7%.

INTRODUCTION

The purpose of this study is to estimate FRAX-based fracture probabilities in Mainland China using real-world data, at which intervention could be cost-effective.

METHODS

We developed a micro-simulation Markov model to capture osteoporosis states and relevant morbidities including hip fracture, vertebral fracture, and wrist fracture. Baseline characteristics including incidences of osteoporosis and distribution of risk factors were derived from the Peking Vertebral Fracture study, the largest prospective cohort study of postmenopausal women in Mainland China. We projected incidences of fractures and deaths by age groups under two treatment scenarios: 1) no treatment, and 2) zoledronate. We also projected total quality-adjusted life-years (QALY) and total costs including fracture management and osteoporosis drugs for cost-effectiveness analysis. Cost-effective intervention thresholds were calculated based on the Chinese FRAX model.

RESULTS

Treatment with zoledronate was cost-effective when the 10-year probability of major osteoporotic fracture based on FRAX was above 7%. The FRAX threshold increased by age from 51 to 65 years old, and decreased in elder age groups, ranging from 4% to 9%.

CONCLUSIONS

Using real-world data, our model indicated that widespread use of zoledronate was of both clinical and economic benefit among Chinese postmenopausal women. Using a FRAX-based intervention threshold of 7% with zoledronate should permit cost-effective access to therapy to patients and contribute to reducing the disease burden of osteoporosis in Mainland China.

Predictors of bone fractures in a single-centre cohort of hemodialysis patients: a 2-year follow-up study

PURPOSE

Bone involvement represents one of the complications of end-stage chronic kidney disease, with fractures being its major risk. The aim of our study was to assess the frequency and predictors of low-trauma fractures in a cohort of maintenance hemodialysis patients followed-up on for 2 years.

METHODS

59 patients (67.6 ± 13.1 years, 43 males) treated with hemodiafiltration underwent initially laboratory (markers of calcium-phosphate metabolism and bone turnover markers) and densitometry examination with TBS assessment (Lunar Prodigy, TBS software 2.1.2). During 24-month follow-up, the frequency of low-trauma fractures was assessed and possible predictors of increased fracture risk were identified using product-moment correlation matrices.

RESULTS

Altogether 7 (11.9%) low-trauma fractures were observed. In the whole group, age (P = 0.047), T-score in proximal femur (P = 0.04), low vitamin D, low BMI (P = 0.03 for both), and higher FRAX for major osteoporotic fracture (P = 0.01) were connected with fractures, but in multi-variate analysis only BMI remained significantly negatively associated with fractures (P = 0.047). TBS and bone turnover markers failed to predict fractures. However, women with fractures had significantly lower serum phosphate (P = 0.03) and higher parathyroid hormone (P = 0.04). Parameters of hip structure analysis significantly correlated with FRAX, but not with fractures.

CONCLUSIONS

In a group of hemodialysis patients from one centre, T-score in proximal femur, low vitamin D, low BMI, and high FRAX for major osteoporotic fracture were associated with low-trauma fractures, however, in multi-variate analysis only low BMI remained a significant predictor of fracture risk.

The influence of renal dialysis and hip fracture sites on the 10-year mortality of elderly hip fracture patients: A nationwide population-based observational study

Hip fractures in older people requiring dialysis are associated with high mortality. Our study primarily aimed to evaluate the specific burden of dialysis on the mortality rate following hip fracture. The secondary aim was to clarify the effect of the fracture site on mortality. A retrospective cohort study was conducted using Taiwan's National Health Insurance Research Database to analyze nationwide health data regarding dialysis and non-dialysis patients ≥65 years who sustained a first fragility-related hip fracture during the period from 2001 to 2005. Each dialysis hip fracture patient was age- and sex-matched to 5 non-dialysis hip fracture patients to construct the matched cohort. Survival status of patients was followed-up until death or the end of 2011. Survival analyses using multivariate Cox proportional hazards models and the Kaplan-Meier estimator were performed to compare between-group survival and impact of hip fracture sites on mortality. A total of 61,346 hip fracture patients were included nationwide. Among them, 997 dialysis hip fracture patients were identified and matched to 4985 non-dialysis hip fracture patients. Mortality events were 155, 188, 464, and 103 in the dialysis group, and 314, 382, 1505, and 284 in the non-dialysis group, with adjusted hazard ratios (associated 95% confidence intervals) of 2.58 (2.13-3.13), 2.95 (2.48-3.51), 2.84 (2.55-3.15), and 2.39 (1.94-2.93) at 0 to 3 months, 3 months to 1 year, 1 to 6 years, and 6 to 10 years after the fracture, respectively. In the non-dialysis group, survival was consistently better for patients who sustained femoral neck fractures compared to trochanteric fractures (0-10 years' log-rank test, P < .001). In the dialysis group, survival of patients with femoral neck fractures was better than that of patients with trochanteric fractures only within the first 6 years post-fracture (0-6 years' log-rank, P < .001). Dialysis was a significant risk factor of mortality in geriatric hip fracture patients. Survival outcome was better for non-dialysis patients with femoral neck fractures compared to those with trochanteric fractures throughout 10 years. However, the survival advantage of femoral neck fractures was limited to the first 6 years postinjury among dialysis patients.

A review on the performance of osteoporosis self-assessment tool for Asians in determining osteoporosis and fracture risk

The prevalence of osteoporosis in Asian countries is growing. An effective screening method will enable patients at risk for osteoporosis to receive early diagnosis and treatment, and avoid overcrowding the limited dual-energy x-ray absorptiometry (DXA) machines available in Asian countries. Many simple osteoporosis screening algorithms have been developed but they are not validated for use in Asian populations. osteoporosis self-assessment tools for Asians (OSTA), established using a multinational Asian cohort, is the first screening algorithm that caters for the Asian populations. It considers only body weight and age in the algorithm. It shows consistently high performance and sensitivity in identifying postmenopausal women at risk for osteoporosis in many Asian countries. Its usage has been expanded for identifying osteoporosis in men, as well as determining fracture risk for both sexes. However, the performance of OSTA is influenced by age, sex, ethnicity and site of BMD measurement to define osteoporosis. Its usage is also limited in individuals without apparent risk factors. These limitations should be noted by physicians considering the use of OSTA in clinical setting. As a conclusion, OSTA is a cost-effective measure for osteoporosis screening in primary healthcare setting.