Contra-lateral hip fracture in the elderly: are decreased body mass index and skin thickness predictive factors?

Disparities in Elective and Nonelective Total Hip Arthroplasty

BACKGROUND

Prior studies have shown disparities in utilization of primary and revision total hip arthroplasty (THA). However, little is known about patient population differences associated with elective and nonelective surgery. Therefore, the aim of this study was to explore factors that influence primary utilization and revision risk of THA based on surgery indication.

METHODS

Data were obtained from 7,543 patients who had a primary THA from 2014 to 2020 in a database, which consists of multiple health partner systems in Louisiana and Texas. Of these patients, 602 patients (8%) underwent nonelective THA. THA was classified as "elective" or "nonelective" if the patient had a diagnosis of hip osteoarthritis or femoral neck fracture, respectively.

RESULTS

After multivariable logistic regression, nonelective THA was associated with alcohol dependence, lower body mass index (BMI), women, and increased age and number of comorbid conditions. No racial or ethnic differences were observed for the utilization of primary THA. Of the 262 patients who underwent revision surgery, patients who underwent THA for nonelective etiologies had an increased odds of revision within 3 years of primary THA (odds ratio (OR) = 1.66, 95% Confidence Interval (CI) = 1.06-2.58, P-value = .025). After multivariable logistic regression, patients who had tobacco usage (adjusted odds ratio (aOR) = 1.36, 95% CI = 1.04-1.78, P-value = .024), alcohol dependence (aOR = 2.46, 95% CI = 1.45-4.15, P-value = .001), and public insurance (OR = 2.08, 95% CI = 1.18-3.70, P-value = .026) had an increased risk of reoperation.

CONCLUSION

Demographic and social factors impact the utilization of elective and nonelective primary THA and subsequent revision surgery. Orthopaedic surgeons should focus on preoperative counseling for tobacco and alcohol cessation as these are modifiable risk factors to directly decrease reoperation risk.

Does Superior Bone Health Promote a Longer Lifespan?

INTRODUCTION

Public health achievements throughout the last century have resulted in a steady increase in life expectancy. An emergent subset has distinguished themselves, living well beyond the ninth decade by avoiding or delaying the onset of most age-related diseases, including bone diseases and fractures. In this study, we evaluated the bone health of the oldest community-dwelling individuals living in rural Arkansas.

METHODS

299 patients aged ≥90 years were retrospectively reviewed for recorded fractures within 12 years prior to the investigation period. Records were also examined for medications and test results pertinent to bone health, including thyroid stimulating hormone, vitamin D levels, hematocrit, hemoglobin, body mass index, and bone densitometric values.

RESULTS

68 patients (23%) had at least one fracture documented, and 15 had >1 fracture. 40% of patients with fractures had osteoporosis and 28% had osteopenia, respectively. 232 patients (78%) had no documented fractures, and of these, only 18% had osteoporosis and 16% had osteopenia. No significant clinical markers were found among the very old to explain the relatively low occurrence of fractures.

CONCLUSIONS

Patients over 90 years of age had an overall low prevalence of fractures and relative preservation of bone health, suggesting a preserved bone molecular profile in these individuals. Epigenetic factors and activity levels might also have favorably affected bone health. The low percentage of osteoporosis and fractures likely reduced the morbidity and mortality in this population, potentially contributing to their overall longevity.

Effect of fall characteristics on the severity of hip impact during a fall on the ground from standing height

The magnitude of hip impact force during a fall on the ground (i.e., concrete surface) from standing height was determined. We found that this force decreases up to 59%, depending on how they land on the ground.

INTRODUCTION

We determined the magnitude of hip impact force that humans may experience in the event of a fall from standing height on the ground, in order to examine how the hip impact force was affected by characteristics of a fall.

METHODS

Twenty subjects mimicked a typical older adults' falls on a mat. Trials were acquired with three initial fall directions: forward, sideways, and backward. Trials were also acquired with three knee positions at the time of hip impact: knee together, knee on the mat, and free knee. During falls, attenuated vertical hip impact forces and corresponding depression of the mat were measured via a force plate placed under the mat and motion capture system, respectively. Using a mass-spring model, actual hip impact force and body stiffness during a fall on the ground were estimated.

RESULTS

Hip impact force averaged 4.0 kN (SD = 1.7). The hip impact force was associated with knee condition (F = 25.6, p < 0.005), but not with fall direction (F = 0.4, p = 0.599). Compared with "knee on the mat," hip impact force averaged 59% and 45% greater in "free knee" and "knee together," respectively (4.6 versus 2.9 kN, p < 0.005; 4.3 versus 2.9 kN, p < 0.005). However, the hip impact force did not differ between "free knee" and "knee together (4.6 versus 4.3 kN, p = 0.554).

CONCLUSION

Our results suggest that hip fracture risk during a fall decreases substantially, depending on how they land on the ground, informing the development of safe landing strategies to prevent fall-related hip fractures in older adults.

Epidemiology and risk factors for contralateral proximal femur fracture: a single center retrospective cohort study on 1022 patients

Summary.

BACKGROUND AND AIM OF THE WORK

Given the high impact of proximal femur fractures (PFFs) on elderly patients and healthcare systems, the burden of contralateral PFFs might be overlooked. Aim of the study is to analyze the epidemiology and risk factors of contralateral proximal femur fractures. Secondary aim is to detect mortality rate differences in first and contralateral PPF.

METHODS

A population of 1022 patients admitted for proximal femur fractures in a single center was studied. Prevalence at admission as well as incidence of contralateral PFF during a 18 to 36 months follow-up was recorded. Epidemiology of contralateral PFF was studied recording number of events, time to second fracture and fracture type. Mortality at 1-year was recorded for all patients and compared between first and second PFF patients. Comorbidities, pharmacotherapy, BMI, MNA and SPMSQ were studied as possible risk factors.

RESULTS

Prevalence and incidence of contralateral PFFs were 9.4% and 6.5% respectively. Median time to second fracture was 12 months. One-year mortality of contralateral PFFs was significantly lower (20.5% vs 25.1%, p 0.003) than first PFF. Contralateral fracture patients had a significantly lower BMI and a significantly lower proportion of malnourished patients.

CONCLUSIONS

The incidence and prevalence of contralateral PFFs is relevant. Mortality of contralateral PFFs results to be lower than first PFF. Patients with higher BMI and malnourished patients have a lower risk of contralateral PFF.

Associations of body mass index and diabetes with hip fracture risk: a nationwide cohort study

Background

The high prevalence of diabetes is associated with body mass index (BMI), and diabetes can cause many complications, such as hip fractures. This study investigated the effects of BMI and diabetes on the risk of hip fractures and related factors.

Methods

We retrospectively reviewed data from 22,048 subjects aged ≧ 40 years from the National Health Interview Survey in Taiwan (NHIST) in 2001, 2005, and 2009. We linked the NHIST data for individual participants with the National Health Insurance Research Database (NHIRD), which includes the incidence of hip fracture from 2000 to 2013. We defined five categories for BMI: low BMI (BMI < 18.5), normal BMI (18.5 ≦ BMI < 24), overweight (24 ≦ BMI < 27), mild obesity (27 ≦ BMI < 30), and moderate obesity (BMI ≧ 30). The Cox proportional hazards model was used to analyze the effects of BMI and diabetes on risk of hip fracture.

Results

The Cox proportional hazards model shows that hip fracture risk in participants with diabetes was 1.64 times that of non-diabetes patients (95% confidence interval [CI]:1.30–2.15). Participants with low BMIs showed a higher hip fracture risk (HR: 1.75) than those with normal BMI. Among the five BMI groups, compared with non-diabetes patients, only diabetes patients with a normal BMI showed a significantly higher risk on hip fracture (HR: 2.13, 95% CI: 1.48–3.06). In participants with diabetes, compared with those with normal BMI, those with overweight or obesity showed significantly lower hip fracture risks (HR: 0.49 or 0.42). The hip fracture risk in participants who expend ≧ 500 kcal/week in exercise was 0.67 times lower than in those who did not exercise.

Conclusions

Diabetes and low BMI separately are important risk factors for hip fracture. There was an interaction between diabetes and BMI in the relationship with hip fracture (p = 0.001). The addition of energy expenditure through exercise could effectively decrease hip fracture risk, regardless of whether the participants have diabetes or not. The results of this study could be used as a reference for health promotion measures for people with diabetes.

Correlation between skin and bone parameters in women with postmenopausal osteoporosis: A systematic review

Skin and bone share similarities in terms of biochemical composition.Some authors have hypothesized that their properties could evolve concomitantly with age, allowing the estimation of the parameters of one from those of the other.We performed a systematic review of studies reporting the correlation between skin and bone parameters in women with postmenopausal osteoporosis.Fourteen studies - including 1974 patients - were included in the review.Three of these studies included two groups of participants - osteoporotic and non-osteoporotic - in order to compare skin parameters between them: two studies found a significant difference between the two groups and one did not.Eleven of these studies included one population of interest and compared its skin and bone parameters in a continuous manner: eight studies compared dermal thickness to bone mineral density (seven found a significant correlation [R = 0.19-0.486] and one did not); two studies compared skin elasticity to bone mineral density (both found a significant correlation [R = 0.44-0.57); and one study compared skin collagen to bone mineral density and found a significant correlation (R = 0.587).It can be assumed that the estimation of skin alterations from ageing could help in estimating concomitant bone alterations. Cite this article: EFORT Open Rev 2018;3:449-460. DOI: 10.1302/2058-5241.3.160088.

Determinants of short term fracture risk in patients with a recent history of low-trauma non-vertebral fracture

Low-trauma fractures tend to cluster in time, and subsequent fractures have a role in increased morbidity and mortality in osteoporotic patients. The aim of this study was to identify the risk factors of short-term subsequent non-vertebral fracture (NVF). Patients were included from the Fracture Liaison Service (FLS) which provides assessment for osteoporosis to all in-hospital patients admitted for a low-trauma NVF in the Orthopaedics department. Location and date of occurrence of previous fractures, risk factors for osteoporosis and falls were collected. Bone mineral density was measured at the lumbar spine and total hip; presence of vertebral fractures was evaluated using vertebral fracture assessment (VFA). Nine hundred and fifty patients were included (84% women; 75±12years), with a mean T-score at the femoral neck of -2.3±1.0. Four hundred and sixty eight (49%) patients were in the FLS because of a hip fracture. Using multivariable analysis, the risk of being in the FLS with a previous fracture ≤3years before was associated with: history of fall in the year before the admission (OR=2.75, CI 95% 1.55-4.93), history of severe low-trauma NVF (OR=2.54; CI 95% 1.45-4.52), and BMI lower than 20kg/m² (OR=2.45, CI 95% 1.25-4.87); age older than 78years-old was protective to the risk of re-fracture (OR=0.44, CI 95% 0.24-0.80). Some risk factors (age, history of fall and of previous severe non-vertebral fracture) can help in the selection of patients at high risk of refracture, who should receive the highest priority for a treatment.

Modified Creatinine Index and the Risk of Bone Fracture in Patients Undergoing Hemodialysis: The Q-Cohort Study

BACKGROUND

Hemodialysis patients are at increased risk for bone fracture and sarcopenia. There is close interplay between skeletal muscle and bone. However, it is still unclear whether lower skeletal muscle mass increases the risk for bone fracture.

STUDY DESIGN

Cross-sectional study and prospective longitudinal cohort study.

SETTING & PARTICIPANTS

An independent cohort of 78 hemodialysis patients in the cross-sectional study and 3,030 prevalent patients undergoing maintenance hemodialysis prospectively followed up for 4 years.

PREDICTOR

Skeletal muscle mass measured by bioelectrical impedance analysis (BIA) and modified creatinine index, an estimate of skeletal muscle mass based on age, sex, Kt/V for urea, and serum creatinine level.

OUTCOMES

Bone fracture at any site.

RESULTS

In the cross-sectional study, modified creatinine index was significantly correlated with skeletal muscle mass measured by BIA. During a median follow-up of 3.9 years, 140 patients had bone fracture. When patients were divided into sex-specific quartiles based on modified creatinine index, risk for bone fracture estimated by a Fine-Gray proportional subdistribution hazards model with all-cause death as a competing risk was significantly higher in the lower modified creatinine index quartiles (Q1 and Q2) compared to the highest modified creatinine index quartile (Q4) as the reference value in both sexes (multivariable-adjusted HRs for men were 7.81 [95% CI, 2.63-23.26], 5.48 [95% CI, 2.08-14.40], 2.24 [95% CI, 0.72-7.00], and 1.00 [P for trend < 0.001], and for women were 4.44 [95% CI, 1.50-13.11], 2.33 [95% CI, 0.86-6.31], 1.96 [95% CI, 0.82-4.65], and 1.00 [P for trend = 0.007] for Q1, Q2, Q3, and Q4, respectively).

LIMITATIONS

One-time assessment of modified creatinine index; no data for residual kidney function and fracture sites and causes.

CONCLUSIONS

Modified creatinine index was correlated with skeletal muscle mass measured by BIA. Lower modified creatinine index was associated with increased risk for bone fracture in male and female hemodialysis patients.