Epidemiological survey of quantitative ultrasound in risk assessment of falls in middle-aged and elderly people

Optimal body composition indices cutoff values based on all-cause mortality in the elderly

The cutoffs of body composition indices are inconclusive in older populations. This study is designed toward determining the optimal cutoffs of the body composition indices based on the association with all-cause mortality. During 2009 and 2010, a cohort population of 1200 was enrolled in central western Taiwan. Of the 1200 subjects, 428 older subjects (mean age: 72.5 ± 5.4 yrs.; 47.7 % were women) were censored in this study. The waist circumference (WC) and body mass index (BMI) were measured using standard anthropometric methods. A multi-frequency bioelectrical impedance analysis device was utilized to estimate each participant's body composition indices, including percent body fat (PBF) and skeletal muscle mass index (SMMI). All claims records of death from 2009 to 2018 in the National Health Insurance Research Databank were identified. A receiver operating characteristic curve method and the highest Youden index were used to identify the optimal cutoffs. A Cox proportional hazards regression analysis was used to model associations between each of the recommended cutoff values with all-cause mortality. The all-cause mortality rate was 20.09 % after a follow-up period of 5.86 ± 2.39 person-years. The significant indices cutoff value was identified to be WC (86.7 cm) for older women and BMI (23.8 kg/m²) and as WC (77.6 cm), and SMMI (8.7 kg/m²) for older men. The recommended optimal cutoffs of the body composition indices were gender-specific and can be utilized to predict the risk of all-cause mortality.

Effects of age and gender on body composition indices as predictors of mortality in middle-aged and old people

To determine whether body composition indices interact with age and gender as a predictor of all-cause mortality, 1200 participants at least 40 years of age were recruited in 2009 and 2010. A multi-frequency bioelectrical impedance analysis device was used to measure each participant's body composition indices, including the fat mass index (FMI), fat free mass index (FFMI), skeletal muscle mass index (SMMI), and visceral fat area index (VFAI). A baseline questionnaire was used to collect demographic information about lifestyle habits, socioeconomic status, and medical conditions. All claimed records of death from 2009 to 2018 in the National Health Insurance Research Databank were identified. The all-cause mortality rate was 8.67% after a mean follow-up period of 5.86 ± 2.39 person-years. The Cox proportional hazard model analysis showed significantly negative associations between FFMI or SMMI with all-cause mortality in the total group and those aged ≥ 65 y/o. The FFMI and SMMI were negative predictors of mortality in both genders. The FMI and VFAI were positive predictors of mortality exclusively in females. In conclusion, the SMMI is a better predictor of mortality than the BMI, FMI, and FFMI, especially in older adults. A higher fat mass or visceral fat distribution may predict higher mortality in females.

Validation of the Taiwan FRAX® calculator for the prediction of fracture risk

The Taiwan FRAX® calculator was validated to predict incident fractures preliminarily. Cutoffs of FRAX probability for predicting major osteoporotic fracture and hip fracture were proposed as 9.5% and 4% in Taiwanese individuals.

PURPOSE

FRAX® is an algorithm used to calculate fracture probabilities based on clinical risk factors (CRFs) and bone mineral density (BMD). The country-specific Taiwan FRAX calculator has not been validated since its establishment in 2010. The aim of the present study is to evaluate the predictive performance of the Taiwan FRAX calculator using longitudinal fracture data.

METHODS

A total of 1975 subjects, aged ≧ 40 years old, from Yunlin and Tianliao cohorts in Taiwan during the period 2009-2010, were identified and completely connected with the 2008-2016 National Health Insurance Research Database.

RESULTS

During the average 6.8 ± 1.1 years of follow-up, 160 incident major osteoporotic fractures (MOFs) were identified. The predictive ability assessing based on the observed to expected fractures (O/E) ratio calculated with the FRAX probability adjusted for 6.8 years were 1.19 (95%CI 1.02-1.39) for MOF, and 1.07 (95%CI 0.82-1.39) for hip fractures. In the discriminative statistics, the AUC for prediction of major osteoporotic fractures using FRAX was 0.75 without and 0.77 with BMD (AUC for hip fracture was 0.75 without and 0.77 with BMD). The optimal cutoff value was 9.5% of the FRAX score with BMD for all major osteoporotic fractures, with good sensitivity (76.9%) and specificity (65.3%). For hip fractures, the optimal cutoff point for the FRAX probability with BMD was 4.0%, and the sensitivity and specificity were 74.4% and 68.3%, respectively.

CONCLUSION

The Taiwan FRAX® calculator was validated to predict incident fractures preliminarily. Cutoffs are proposed for predicting fracture risk in Taiwanese individuals.

Association between hip and knee osteoarthritis with falls: A systematic review and meta-analysis

OBJECTIVE

To examine the association between hip and knee osteoarthritis (OA) and falls. Potentially relevant articles that examine the association between hip, knee, radiological, and self-reported OA and falls were retrieved from PubMed, EMBASE, Scopus, and Web of Science up until March of 2020.

METHODS

The pooled risk ratios (RRs) as well as their related 95% confidence intervals (CIs) were calculated. Statistic and subgroup analyses were performed. A total of 21 studies involving 146 965 participants were included.

RESULTS

No association was found between hip OA and falls. The pooled RRs value suggested a higher prevalence of falls in knee OA patients (RR = 1.35, 95% CI: 1.20 to 1.51, P < .00001) and self-reported OA (RR = 1.33, 95% CI: 1.23 to 1.45, P < .00001) than in non-OA subjects. The pooled RR value suggested no difference between prevalence of falls in radiological OA patients compared to non-OA subjects (RR = 1.82, 95% CI: 0.89 to 3.73, P = .10). Both radiological and self-reported knee OA seem to be positively associated with falls, while no obvious association was found between hip OA and falls.

CONCLUSIONS

Therefore, knee OA is a risk factor for falls which should be closely monitored.

The effects of falls on the prediction of osteoporotic fractures: epidemiological cohort study

Fall is the major risk factor of fracture that has not been included in FRAX®. Whether different age may determine the effect of falls on FRAX® is still uncertain. This epidemiological cohort study reveals that history of fall is a significant predictor of incident fracture independent of FRAX probability, especially in subjects < 75 years old.

INTRODUCTION

The Fracture Risk Assessment Tool (FRAX) calculates 10-year fracture risk using 11 clinical risk factors and bone mineral density (BMD); however, it does not include fall history in its risk assessment. Here, we investigated whether fall history is an independent risk factor on fracture prediction after adjustment of FRAX scores in two age subgroups (40-75 and ≥ 75 years).

METHODS

Beginning in 2009 to 2010, 1975 people (914 men) from Taiwan were followed for 6.8 ± 1.1 years by matching them with their records in the 2008-2016 National Health Insurance databank. We validated FRAX predictive accuracy with or without fall history by Cox proportional hazards regression.

RESULTS

After adjusting for FRAX risk, a history of falling was still a significant predictor of major osteoporotic fractures (MOFs) (using BMD, hazard ratio [HR], 1.47; p = 0.03; without using BMD, HR, 1.54; p = 0.01). A history of recurrent falls was also a significant predictor of both incident MOFs and hip fractures. However, when the subjects were stratified based on age group, a history of falling and recurrent falls were strong predictors of MOFs and hip fractures in the younger but not the older subgroup.

CONCLUSION

A fall history can predict incident fracture independently of FRAX probability, particularly in subjects younger than 75 years old.

A pilot study examining the use of ultrasound to measure sarcopenia, frailty and fall in older patients

INTRODUCTION

The importance of this study is to devise an efficient tool for assessing frailty in the ED. The goals of this study are 1) to correlate ultrasonographic (US) measurements of muscle thickness in older ED patients with frailty and 2) to correlate US-measured sarcopenia with falls, subsequent hospitalizations and ED revisits.

METHODS

Participants were conveniently sampled from a single ED in this prospective cohort pilot study of patients aged 65 or older. Participants completed a Fatigue, Resistance, Ambulation, Illness and Loss of Weight (FRAIL) scale assessment and US measurements of their upper arm muscles, quadricep muscles, and abdominal wall muscles thickness. We conducted one-month follow-up phone calls to assess for falls, ED revisits, and subsequent hospital visits.

RESULTS

We enrolled 43 patients (mean age of 78.5). Ultrasound measurements of the three muscle groups were not significantly different between frail and non-frail groups. Frail participants had greater bicep asymmetry (a difference of 0.47 cm vs 0.24 cm, p < .01). A predictive logistic regression model using average quadriceps thickness and biceps asymmetry was found to identify frail patients (AUC of 0.816). Participants with subsequent falls had smaller quadriceps (1.18 cm smaller, p < .01). Subsequently hospitalized patients were found to have smaller quadriceps muscles (0.54 cm smaller, p = .03) and abdominal wall muscles (0.25 cm smaller, p = .01).

CONCLUSION

US measurements of sarcopenia in older patients had mild to moderate associations with frailty, falls and subsequent hospitalizations. Further investigation is needed to confirm these findings.

Epidemiological survey of the feasibility of broadband ultrasound attenuation measured using calcaneal quantitative ultrasound to predict the incidence of falls in the middle aged and elderly

OBJECTIVES

We investigated whether calcaneal quantitative ultrasound (QUS-C) is a feasible tool for predicting the incidence of falls.

DESIGN

Prospective epidemiological cohort study.

SETTING

Community-dwelling people sampled in central western Taiwan.

PARTICIPANTS

A cohort of community-dwelling people who were ≥40 years old (men: 524; women: 676) in 2009-2010. Follow-up questionnaires were completed by 186 men and 257 women in 2012.

METHODS

Structured questionnaires and broadband ultrasound attenuation (BUA) data were obtained in 2009-2010 using QUS-C, and follow-up surveys were done in a telephone interview in 2012. Using a binary logistic regression model, the risk factors associated with a new fall during follow-up were analysed with all significant variables from the bivariate comparisons and theoretically important variables.

PRIMARY OUTCOME MEASURES

The incidence of falls was determined when the first new fall occurred during the follow-up period. The mean follow-up time was 2.83 years.

RESULTS

The total incidence of falls was 28.0 per 1000 person-years for the ≥40 year old group (all participants), 23.3 per 1000 person-years for the 40-70 year old group, and 45.6 per 1000 person-years for the ≥70 year old group. Using multiple logistic regression models, the independent factors were current smoking, living alone, psychiatric drug usage and lower BUA (OR 0.93; 95% CI 0.88 to 0.99, p<0.05) in the ≥70 year old group.

CONCLUSIONS

The incidence of falls was highest in the ≥70 year old group. Using QUS-C-derived BUA is feasible for predicting the incidence of falls in community-dwelling elderly people aged ≥70 years.

Predictors of Bone Status by Quantitative Ultrasound Measurements in a Mountain Village in Japan

Background:

It seems to be important to recognize predictors of bone health condition in Japanese super-aged society. The purpose of this study was to investigate predictors of the speed of sound (SOS) of calcaneus by quantitative ultrasound measurements of mountain village residents.

Materials and Methods:

Medical examinations were conducted on 214 participants (69 men, 145 women; average age of 63.6 years). Each had completed a self-administered questionnaire including items such as gender, dominant hand, occupation, and history of smoking and drinking alcohol, experience of falls, and the EuroQol-5-dimensions-3-level Japanese version and a 25-question geriatric locomotive function scale proposed by the Japanese Orthopaedic Association. Bilateral grip and key pinch strength were measured. The SOS of calcaneus was assessed using ultrasound bone densitometry. Body composition was measured using a multi-frequency segmental body composition analyzer. Spearman's rank correlation coefficient was calculated to elucidate the relation between SOS and evaluation items. Stepwise logistic regression was used to identify predictors of SOS using the investigated factors as explanatory variables. P values of < .05 were regarded as statistically significant.

Results:

Significant positive correlation was found between the SOS and dominant and non-dominant grip and key pinch strength and Euro index and QOL VAS in all participants. In stepwise logistic regression, non-dominant key pinch (β coefficient= 0.27, p= .022) and Euro QOL VAS (β coefficient= 0.24, p= .0001) were predictors of calcaneal SOS for all participants.

Conclusion:

Key pinch strength and Euro QOL VAS assessment might be useful to predict calcaneal SOS in the general population.

Relationship between the FRAX® score and falls in community-dwelling middle-aged and elderly people

OBJECTIVES

Falls is a risk factor for fracture. The FRAX^® predicts fractures. Whether the FRAX^® is associated with fall in both gender is inconclusive. The aim of our study is to evaluate the association between FRAX scores and falls.

METHODS

The cross-sectional study set from 2009 to 2010 included 1200 community-dwelling people who were systematically sampled in central Taiwan. The 1200 participants (men: 524; women: 676; ≥40 years old) completed questionnaires about socioeconomic status; lifestyle; medical and fall history were completed. FRAX scores with and without bone mineral density (BMD) were calculated by using the Taiwan calculator.

RESULTS

A total of 19.8% participants fell down. Binary regression models showed that diabetes mellitus history (OR: 1.61; 95% CI: 1.03-2.52), the FRAX without BMD in a continuous major score (OR: 1.06; 95% CI: 1.03-1.09), continuous hip score (OR: 1.11; 95% CI: 1.05-1.16), categorical major score ≥ 10% (OR: 1.81; 95% CI: 1.25-2.61), and categorical hip score ≥ 3% (OR: 1.80; 95% CI: 1.30-2.50) were independent risk factors for falls. FRAX with BMD in a continuous major score (OR: 1.04; 95% CI: 1.02-1.06), continuous hip score (OR: 1.06; 95% CI: 1.02-1.09), categorical major score ≥ 10% (OR: 1.52; 95% CI: 1.09-2.12), and categorical hip score ≥ 3% (OR: 1.53; 95% CI: 1.13-2.09) were also independent risk factors.

CONCLUSIONS

We concluded that FRAX^® scores with and without BMD were unanimously correlated with falls in community-dwelling middle-aged and elderly males and females.

Low bone mineral density among adults with disabilities in Taiwan: A cross-sectional descriptive study

BACKGROUND

Low bone mineral density (BMD) is a silent disease that can lead to osteoporosis and is a serious health problem worldwide. People with disabilities are especially at risk for fall-related death.

OBJECTIVES

To examine the prevalence of low bone mineral density and associated risk factors among adults with disabilities in Taiwan.

METHODS

We conducted a population-based, cross-sectional study in 2013; the participants were 572 community adults with disabilities over the age of 20 years. Statistical analyses used to evaluate the association included chi-squared tests, ANOVA, and logistic regression.

RESULTS

Over one-third of the participants had an intellectual disability, 26% physical disability, and the remainder had a combination of disabilities. Of the participants, 62.5% had abnormal bone mineral density, and 21.8% met the criteria for osteoporosis. After adjusting for potential confounding variables, the determinant risk factors for low bone mineral density were age (β = -.14, p = 0.002), gender (β = -.12, p = 0.004), and level of physical activity (β = .1, p = 0.024). The majority of participants with low BMD were not aware of abnormal bone density, and only 2.4% had received treatment.

CONCLUSIONS

This study identified a high prevalence of low bone mineral density among adults with disabilities; few of the participants possessed awareness of bone health, and very few received early treatment or information on prevention of osteoporosis. The enhancement of osteoporosis interventions and health promotion programs to prevent osteoporosis and related problems are necessary for this population.