Modifying the Phenotypic Frailty Model in Predicting Risk of Major Osteoporotic Fracture in the Elderly

Diet quality and physical or comprehensive frailty among older adults

Purpose

While the association between diet quality and mortality has been previously demonstrated, the association between frailty and diet quality has not been evaluated well. This study aimed to investigate the association between diet quality and prevalence of both physical and comprehensive frailty, using two validated tools, in a community-based cohort of older adults.

Methods

We conducted cross-sectional analyses using baseline data of 7022 participants aged ≥ 65 years in the Kyoto-Kameoka study. Diet quality was assessed by calculating the adherence scores to the Japanese Food Guide Spinning Top using a validated questionnaire; the participants were stratified into quartile groups based on these scores. Physical and comprehensive frailty was assessed using the Fried phenotype model-based Frailty Screening Index and the Kihon Checklist, respectively. Multivariable logistic regression and the restricted cubic spline model were used to calculate odds ratios (ORs) and their 95% confidence intervals (CIs) for associations between adherence scores and frailty prevalence.

Results

Higher adherence scores signified a higher intake of vitamin C, vegetables, dairy products, and fruits. Physical and comprehensive frailty prevalence was 14.2 and 35.8%, respectively. In a multivariable adjusted model, compared with the bottom adherence score quartile, the top quartile was associated with lower ORs of physical (OR 0.64; 95% CI 0.52–0.80) and comprehensive frailty (OR 0.60; 95% CI 0.51–0.71). These relationships were similar to results in the spline model.

Conclusions

This study shows an inverse dose–response relationship between diet quality and prevalence of both physical and comprehensive frailty in older adults.

Prediction Models for Osteoporotic Fractures Risk: A Systematic Review and Critical Appraisal

Osteoporotic fractures (OF) are a global public health problem currently. Many risk prediction models for OF have been developed, but their performance and methodological quality are unclear. We conducted this systematic review to summarize and critically appraise the OF risk prediction models. Three databases were searched until April 2021. Studies developing or validating multivariable models for OF risk prediction were considered eligible. Used the prediction model risk of bias assessment tool to appraise the risk of bias and applicability of included models. All results were narratively summarized and described. A total of 68 studies describing 70 newly developed prediction models and 138 external validations were included. Most models were explicitly developed (n=31, 44%) and validated (n=76, 55%) only for female. Only 22 developed models (31%) were externally validated. The most validated tool was Fracture Risk Assessment Tool. Overall, only a few models showed outstanding (n=3, 1%) or excellent (n=32, 15%) prediction discrimination. Calibration of developed models (n=25, 36%) or external validation models (n=33, 24%) were rarely assessed. No model was rated as low risk of bias, mostly because of an insufficient number of cases and inappropriate assessment of calibration. There are a certain number of OF risk prediction models. However, few models have been thoroughly internally validated or externally validated (with calibration being unassessed for most of the models), and all models showed methodological shortcomings. Instead of developing completely new models, future research is suggested to validate, improve, and analyze the impact of existing models.

Allicin Reversed the Process of Frailty in Aging Male Fischer 344 Rats With Osteoporosis

The research and development of pharmaceutical intervention is insufficient for the frail older adults, especially in preclinical stage for the frail individuals with osteoporosis. Garlic exerts an antiosteoporotic effect and its vital component allicin could protect organisms against aging. The present study aimed to investigate the effect of long-term intragastric administration of allicin (low dose of 4 mg·kg⁻¹·d⁻¹; middle dose of 8 mg·kg⁻¹·d⁻¹; high dose of 16 mg·kg⁻¹·d⁻¹) on frailty with osteoporosis in aging male Fischer 344 rats. Frailty was assessed with a 27-item frailty index based on quantifying health-related deficits in adult male rats varied from 13 to 21 months and in control rats from 6 to 9 months. Osteoporosis was appraised by bone mineral density detected by dual-energy X-ray absorptiometry, biomechanical properties measured by a three-point bending test, and bone metabolic analysis using ELISA. Allicin could attenuate frailty index scores by reducing the accumulation of health deficits in aging male Fischer 344 rats. Meanwhile, allicin could protect against senile osteoporosis, and the underlying mechanism may involve in increasing low bone turnover through elevation of both bone formation and bone resorption, and subsequently lead to increase of bone mineral density, contributing to reversing deleterious bone biomechanical features associated with aging. The present study reveals firstly that long-term oral administration with allicin attenuated frailty with osteoporosis during the process of aging, which provides a preclinical evidence for intervention of frailty.

Measured height loss predicts incident clinical fractures independently from FRAX: a registry-based cohort study

During median follow-up 6.0 years in 11,495 individuals, prior absolute and annualized measured height loss was significantly greater in those with subsequent incident fracture compared with those without incident fracture.

PURPOSE

FRAX® accepts baseline height and weight as input variables, but does not consider change in these parameters over time.

AIM

To evaluate the association between measured height or weight loss on subsequent fracture risk adjusted for FRAX scores, risk factors, and competing mortality.

METHODS

Using a dual-energy x-ray absorptiometry (DXA) registry for the Province of Manitoba, Canada, we identified women and men age 40 years or older with height and weight measured at the time of two DXA scans. Cox regression analyses were performed to test for a covariate-adjusted association between prior height and weight loss with incident fractures occurring after the second scan using linked population-based healthcare data.

RESULTS

The study population consisted of 11,495 individuals (average age 68.0 ± 9.9 years, 94.6% women). During median follow-up 6.0 years, records demonstrated incident major osteoporotic fracture (MOF) in 869 individuals, hip fractures in 265, clinical vertebral fractures in 207, and any fracture in 1203. Prior height loss was significantly greater in individuals with fracture compared with those without fracture, regardless of fracture site. Mortality was greater in those with prior height loss (HR per SD 1.11, 95% CI 1.06-1.17) or weight loss (HR per SD 1.26, 95% CI 1.19-1.32). Each SD in height loss was associated with increased fracture risk (MOF 12-17%, hip 8-19%, clinical vertebral 28-37%, any fracture 14-19%). Prior weight loss was associated with 21-30% increased risk for hip fracture, but did not increase risk for other fractures. Height loss of 3.0 cm or greater more than doubled the risk for subsequent fracture.

CONCLUSIONS

Prior height loss is associated with a small but significant increase in risk of incident fracture at all skeletal sites independent of other clinical risk factors and competing mortality as considered by FRAX. Prior weight loss only increases risk for subsequent hip fracture.

Challenges and opportunities to improve fracture liaison service attendance: fracture registration and patient characteristics and motivations

This questionnaire-based study evaluated the reasons for attendance or non-attendance at the fracture liaison service in patients with a recent fracture. Frailty, male sex, living alone, and low education were associated with non-attendance, and the information perceived by the patient was associated with attendance.

INTRODUCTION

The purpose of this study was to evaluate hospital registration- and patient-related factors associated with attendance or non-attendance to the Fracture Liaison Service (FLS).

METHODS

Out of 1728 consecutive patients registered with a recent fracture at hospital entry, and after exclusion of 440 patients because of death, residence in a nursing home, already on osteoporosis treatment, or recent DXA, 1288 received an FLS invitation. We evaluated the hospital registration of fractures at entry and exit of the hospital. A questionnaire was sent to all invited patients to evaluate factors related to non-attendance (including age, gender, frailty, living alone, income, education, extrinsic motivations (impact of perceived information) and intrinsic motivations (patient's own perceived views and opinions) and to attendance (personal impact of clinical professionals' advice).

RESULTS

There were 278 more hospital exit codes than entry codes. Of the 1288 invited patients, 745 returned analyzable questionnaires (537 attenders and 208 non-attenders). Non-attendance was associated with male gender (OR: 2.08, 95% CI: 1.35, 3.21), frailty (OR: 1.62, CI: 1.08, 2.45), living alone (OR:2.05, CI: 1.48, 2.85), low education (OR: 1.82, CI: 1.27, 2.63), not interested in bone strength (OR: 1.85, CI: 1.33, 2.63), and being unaware of increased subsequent fracture risk (OR: 1.75, CI: 1.08, 2.86). Information perceived by the patient was significantly associated with attendance (OR: 3.32, CI: 1.75, 6.27).

CONCLUSION

Fracture entry registration inaccuracies, male gender, frailty, living alone, having low general education, or low interest in bone health and subsequent fracture risk were independently associated with FLS non-attendance. Adequately perceived advice (to have a bone densitometry and attend the FLS) was strongly associated with FLS attendance.