Risk Factors For Hip Fracture Research Articles

Prevalence and Risk Factors of Hip Fracture at Tertiary Hospital in Mogadishu, Somalia

Prevalence and Risk Factors of Hip Fracture at Tertiary Hospital in Mogadishu, Somalia

Is decreased psoas volume a risk factor for hip fracture? A comparative study of patients with and without hip fractures using the exact matching technique

IntroductionSarcopenia is linked to increased fall and hip fracture risk. However, studies often overlook comprehensively controlling for age, sex, bone mineral density (BMD), and body mass index (BMI). Our study aimed to determine if sarcopenia, determined by evaluating the psoas muscle volume, is an independent risk factor for hip fractures. We employed a methodological approach that includes the exact matching technique. MethodsIn this cross-sectional comparative study, we compared the data of patients who sustained hip fractures between 2015 and 2021 with those of a control group from a health screening center in a single center. The study included 545 patients with hip fractures and 1292 without fractures. We collected data on demographics, BMD determined using dual-energy X-ray absorptiometry, and abdominal and pelvic computed tomography (APCT) scans for psoas muscle volume analysis. ResultsThe analysis after exact matching of 266 pairs revealed that psoas volume/height2 was the most significant and dominant risk factor among the evaluated indices. Multivariate logistic regression analysis, adjusting for age, sex, BMI, and BMD, identified height or height2-adjusted psoas muscle volume as an independent risk factor for hip fractures (p = 0.042 and p = 0.002, respectively). Age, female sex, lower BMI, and lower BMD were associated with an increased risk of hip fractures. ConclusionDecreased psoas muscle volume adjusted for patient height independently predicts hip fracture risk. Psoas volume assessment via APCT is a practical tool for identifying at-risk individuals, emphasizing the necessity of including sarcopenia in hip fracture risk assessments.

Among people on osteoporosis medication, loss of appendicular or total body lean mass is an independent risk factor for hip and major osteoporotic fractures.

Sarcopenia increases fracture risk. If the risk persists after starting osteoporosis medication, patients may need to be encouraged to pursue strategies to prevent loss of lean mass. To estimate the effects of loss in appendicular lean mass (ALM) or total body lean mass (TBLM) on subsequent fracture risk and effect modification with anti-osteoporosis medication use. We conducted a registry-based cohort study linked to population-based data. We identified individuals ≥ 40years of age with two DXA assessments ≥ 1year apart and minimum 0.5years of observation. ALM and TBLM were estimated from weight, sex, and percent fat from DXA (R2 = 0.91 and 0.84 vs total body DXA, respectively). We report hazard ratios (HR) from Cox regression models estimating time to first incident major osteoporotic fracture (MOF) and hip fracture, adjusted for fracture risk; osteoporosis medication was included as an interaction term and used to stratify analyses. We included 21,249 individuals (mean 67 [SD 10] years, 95% female, 37% on osteoporosis medication). The mean follow-up was 7years (SD 4). A total of 1868 and 548 people had incident MOF and hip fracture, respectively. People with prior ALM loss (HR per SD 1.09, 95% CI 1.04-1.15) or TBLM loss (HR per SD 1.09, 95% CI 1.42-1.14) had a higher risk of MOF. Hip fracture risk was greater in people with prior ALM loss (HR per SD 1.22, 95% CI 1.12-1.33) and TBLM loss (HR per SD 1.26, 95% CI 1.16-1.38). There were no interactions with anti-osteoporosis medication use (all p > 0.3). When restricted to people on anti-osteoporosis medication, each SD in ALM or TBLM loss was associated with 8-9% increased MOF risk and 18-23% increased hip fracture risk. Loss of lean mass is associated with increased fracture risk among individuals on anti-osteoporosis medication. Patients should be encouraged to pursue strategies to prevent sarcopenia.

Opportunistic Assessment of Hip Fracture Risk Based on Chest CT.

Hip fracture (HF) has been described as the "last fracture of life" in the elderly, so the assessment of HF risk is extremely important. Currently, few studies have examined the relationship between imaging data from chest computed tomography (CT) and HF. This study demonstrated that pectoral muscle index (PMI) and vertebral body attenuation values could predict HF, aiming to opportunistically assess the risk of HF in patients without bone mineral density (BMD) based on chest CT for other diseases. In the retrospective study, 800 participants who had both BMD and chest CT were enrolled from January 2021 to January 2024. After exclusion, 472 patients were finally enrolled, divided into the healthy control (HC) group and the HF group. Clinical data were collected, and differences between the two groups were compared. A predictive model was constructed based on the PMI and CT value of the fourth thoracic vertebra (T4HU) by logistic regression analysis, and the predictive effect of the model was analyzed by using the receiver operating characteristic (ROC) curve. Finally, the clinical utility of the model was analyzed using decision curve analysis (DCA) and clinical impact curves. Both PMI and T4HU were lower in the HF group than in the HC group (p < 0.05); low PMI and low T4HU were risk factors for HF. The predictive model incorporating PMI and T4HU on the basis of age and BMI had excellent diagnostic efficacy with an area under the curve (AUC) of 0.865 (95% confidence interval [CI]: 0.830-0.894, p < 0.01), sensitivity and specificity of 0.820 and 0.754, respectively. The clinical utility of the model was validated using calibration curves and DCA. The AUC of the predictive model incorporating BMD based on age and BMI was 0.865 (95% CI: 0.831-0.895, p < 0.01), with sensitivity and specificity of 0.698 and 0.711, respectively. There was no significant difference in diagnostic efficacy between the two models (p = 0.967). PMI and T4HU are predictors of HF in patients. In the absence of dual-energy x-ray absorptiometry (DXA), the risk of HF can be assessed by measuring the PMI and T4HU on chest CT examination due to other diseases, and further treatment can be provided in time to reduce the incidence of HF.

Establishment and validation of a nomogram for predicting the risk of hip fracture in patients with stroke: A multicenter retrospective study

PurposeThere are currently no models for predicting hip fractures after stroke. This study wanted to investigate the risk factors leading to hip fracture in stroke patients and to establish a risk prediction model to visualize this risk. Patients and MethodsWe reviewed 439 stroke patients with or without hip fractures admitted to the Affiliated Hospital of Xuzhou Medical University from June 2014 to June 2017 as the training set, and collected 83 patients of the same type from the First Affiliated Hospital of Harbin Medical University and the Affiliated Hospital of Xuzhou Medical University from June 2020 to June 2023 as the testing set. Patients were divided into fracture group and non-fracture group based on the presence of hip fractures. Multivariate logistic regression analysis was used to screen for meaningful factors. Nomogram predicting the risk of hip fracture occurrence were created based on the multifactor analysis, and performance was evaluated using receiver operating characteristic curve (ROC), calibration curves, and decision curve analysis (DCA). A web calculator was created to facilitate a more convenient interactive experience for clinicians. ResultsIn training set, there were 35 cases (7.9 %) of hip fractures after stroke, while in testing set, this data was 13 cases (15.6 %). In training set, univariate analysis showed significant differences between the two groups in the number of falls, smoking, hypertension, glucocorticoids, number of strokes, Mini-Mental State Examination (MMSE), visual acuity level, National Institute of Health stroke scale (NIHSS), Berg Balance Scale (BBS), and Stop Walking When Talking (SWWT) (P<0.05). Multivariate analysis showed that number of falls [OR=17.104, 95 % CI (3.727–78.489), P = 0.000], NIHSS [OR=1.565, 95 % CI (1.193–2.052), P = 0.001], SWWT [OR=12.080, 95 % CI (2.398–60.851), P = 0.003] were independent risk factors positively associated with new fractures. BMD [OR = 0.155, 95 % CI (0.044–0.546), P = 0.012] and BBS [OR = 0.840, 95 % CI (0.739–0.954), P = 0.007] were negatively associated with new fractures. The area under the curve (AUC) of nomogram were 0.939 (95 % CI: 0.748–0.943) and 0.980 (95 % CI: 0.886–1.000) in training and testing sets, respectively, and the calibration curves showed a high agreement between predicted and actual status with an area under the decision curve of 0.034 and 0.109, respectively. ConclusionsThe number of falls, fracture history, low BBS score, high NIHSS score, and positive SWWT are risk factors for hip fracture after stroke. Based on this, a nomogram with high accuracy was developed and a web calculator (https://stroke.shinyapps.io/DynNomapp/) was created.

[Translated article] Socioeconomic status, osteoporosis and fragility fractures

Low socioeconomic status (SES) is associated with a higher risk of fragility fractures, as well as higher mortality in the first-year post-fracture. The SES variables that have the greatest impact are educational level, income level, and cohabitation status. Significant disparities exist among racial and ethnic minorities in access to osteoporosis screening and treatment.In Spain, a higher risk of fractures has been described in people with a low-income level, residence in rural areas during childhood and low educational level. The civil war cohort effect is a significant risk factor for hip fracture. There is significant geographic variability in hip fracture care, although the possible impact of socioeconomic factors has not been analyzed. It would be desirable to act on socioeconomic inequalities to improve the prevention and treatment of osteoporotic fractures.

Predictors of hip fracture in 15 European countries: a longitudinal study of 48,533 geriatric adults using SHARE dataset.

Hip fracture is a major cause of functional disability, mortality, and health costs. However, the identification and characterization of its causative factors remain poor. We investigated demography, handgrip strength (HGS), depression, and multiple age-associated comorbidities for predicting future hip fracture in individuals aged 50 or above from 15 European countries (n = 48,533). All participants were evaluated from 2013 to 2020 using four successive waves of the Survey of Health, Aging, and Retirement in Europe (SHARE). Altogether, 1130 participants developed hip fractures during the study period. We identified female gender, an advancing age from quinquagenarians onward, and a poor socioeconomic status as critical risk factors for future hip fracture. Having mobility difficulty, a low HGS (< 27kg in men, < 16kg in women) and higher scores on Euro-D depression scales were also significant risk factors for hip fracture. Summated scales of hypertension, diabetes mellitus, cancer, Alzheimer's disease, and stroke did not appear as risk factors. Collectively, we report advancing age, female gender, low HGS, and depression as independent risk factors for hip fracture. Our findings are useful in identifying high-risk populations for hip fractures in pre-clinical settings before rigorous evaluation and treatment in clinics.

Estatus socioeconómico, osteoporosis y fracturas por fragilidad

Low socioeconomic status (SES) is associated with a higher risk of fragility fractures, as well as higher mortality in the first year post-fracture. The SES variables that have the greatest impact are educational level, income level, and cohabitation status. Significant disparities exist among racial and ethnic minorities in access to osteoporosis screening and treatment.In Spain, a higher risk of fractures has been described in people with a low income level, residence in rural areas during childhood and low educational level. The Civil War cohort effect is a significant risk factor for hip fracture. There is significant geographic variability in hip fracture care, although the possible impact of socioeconomic factors has not been analyzed. It would be desirable to act on socioeconomic inequalities to improve the prevention and treatment of osteoporotic fractures.

Analysis of the clinical characteristics and risk factors associated with contralateral hip fracture after initial hip fracture in elderly patients: a retrospective cohort study

Fractures of the contralateral hip may easily occur in elderly patients after an initial hip fracture. The aim of this study was to investigate the clinical characteristics and major predisposing risk factors of contralateral hip fracture after initial hip fracture in the elderly, to provide a clinical basis for preventing contralateral hip fracture. The data of 1586 patients who had sustained first or second hip fractures and had been surgically treated in our department were retrospectively analyzed. Potential predictive factors for contralateral hip fracture and descriptive statistics associated with surgery (such as blood loss, operation time, and length of hospital stay) were recorded. Of these patients, 133 (8.4%) suffered contralateral hip fracture. The rates of contralateral fracture after femoral neck and intertrochanteric fracture were 5.4% and 10.7% respectively (P < 0.01). Fifty-four cases of contralateral hip fracture occurred within one year, an incidence of 40.6%, while 95 cases (71.4%) and 105 cases (78.9%) occurred within two and three years, respectively, with a interval duration of 21.6 months. The risk factors for contralateral hip fracture were found to be age, type of first fracture, bone mineral density, the Singh index, and concomitant internal medical diseases, which were found to be significantly associated with an increased risk of contralateral hip fracture in multivariate logistic regression analysis (P < 0.05). In conclusion, the presence of concomitant internal diseases, type of first fracture, bone mineral density, the Singh index, and age were found to be significant predictors of the risk of contralateral hip fracture in elderly patients after a first hip fracture.

The Characteristics and Outcomes of Contralateral Non-Concurrent Hip Fractures: A Retrospective Study in Geriatric Patients.

Background and Objectives: This study aimed to determine the relationship between non-simultaneous contralateral hip fractures, urban and rural differences, fracture localization, time between fractures, physiotherapy applications, comorbidity, and the second fracture outcomes. Materials and Methods: We retrospectively analyzed 107 patients aged 65 and older with proximal femur fractures (PFFs) who underwent surgery at Düzce University Medical Faculty between January 2010 and December 2022. High-energy fractures, pathological fractures, and patients with a history of old fractures were excluded. Results: The study included 66 females (61.7%) and 41 males (38.3%), with a mean age of 83.76 years. The mean interval between two fractures was 28.3 months. There was no statistical difference between the localization of the first and second fractures (p = 0.107). However, there was a significant difference in the first PFF localizations of patients living in rural areas (p = 0.023). Patients with heart failure, respiratory failure, osteoporosis, and cognitive impairment had shorter intervals between fractures (p < 0.001). Conclusions: This study shows that age, female gender, place of residence, comorbid diseases, and whether physical therapy is received after the first fracture are significant risk factors for a second hip fracture in patients over 65 years of age.

Risk factors for hip and vertebral fractures in chronic kidney disease: the CRIC study.

Fracture risk is high in chronic kidney disease (CKD) and underlying pathophysiology and risk factors may differ from the general population. In a cohort study of 3939 participants in the chronic renal insufficiency cohort (CRIC), we used Cox regression to test associations of putative risk factors with the composite of first hip or vertebral fracture assessed using hospital discharge codes. Mean age was 58years, 45% were female, 42% were Black, and 13% were Hispanic. There were 82 hip and 24 vertebral fractures over a mean (SD) 11.1 (4.8) years (2.4 events per 1000 person-years [95% CI: 2.0, 2.9]). Measured at baseline, diabetes, lower body mass index (BMI), steroid use, proteinuria, and elevated parathyroid hormone (PTH) were each associated with fracture risk after adjusting for covariates. Lower time-updated estimated glomerular filtration rate (eGFR) was associated with fractures (HR 1.20 per 10mL/min/1.73m2 lower eGFR; 95% CI: 1.04, 1.38) as were lower time-updated serum calcium and bicarbonate concentrations. Among time-updated categories of kidney function, hazard ratios (95% CI) for incident fracture were 4.53 (1.77, 11.60) for kidney failure treated with dialysis and 2.48 (0.86, 7.14) for post-kidney transplantation, compared with eGFR ≥60. Proton pump inhibitor use, dietary calcium intake, measures of vitamin D status, serum phosphate, urine calcium and phosphate, and plasma fibroblast growth factor-23 were not associated with fracture risk. In conclusion, lower eGFR in CKD is associated with higher fracture risk, which was highest in kidney failure. Diabetes, lower BMI, steroid use, proteinuria, higher serum concentrations of PTH, and lower calcium and bicarbonate concentrations were associated with fractures and may be modifiable risk factors.

Risk factors for osteoporotic hip fracture among community-dwelling older adults: a real-world evidence study

BackgroundHip fractures in the older adults lead to increased morbidity and mortality. Although a low bone mineral density is considered the leading risk factor, it is essential to recognize other factors that could affect the risk of hip fractures. This study aims to evaluate the contribution of clinical characteristics, patient-reported outcomes, and muscle and aerobic capacity for hip fractures in community-dwelling older adults.MethodsThis is a retrospective cohort study with real world-data from subjects ≥ 60 years old attending an outpatient clinic in Minas Gerais, Brazil, from May 1, 2019, to August 22, 2022. Data about clinical characteristics (multimorbidity, medications of long-term use, sedative and or tricyclic medications, number of falls), patient-reported outcomes (self-perception of health, self-report of difficulty walking, self-report of vision problems, and self-report of falls) and muscle and aerobic capacity (calf circumference, body mass index, and gait speed) were retrieved from an electronic health record. The association of each potential risk factor and hip fracture was investigated by a multivariable logistic regression analysis adjusted for age and sex.ResultsA total of 7,836 older adults were included with a median age of 80 years (IQR 72–86) and 5,702 (72.7%) were female. Hip fractures occurred in 121 (1.54%) patients. Multimorbidity was associated with an increased risk of hip fracture (OR = 1.12, 95%CI 1.06–1.18) and each episode of fall increased the chance of hip fracture by 1.7-fold (OR = 1.69, 95%CI 1.52–1.80). Patient-reported outcomes associated with increased fracture risk were regular or poor self-perception of health (OR = 1.59, 95%CI 1.06–2.37), self-report of walking difficulty (OR = 3.06, 95%CI 1.93–4.84), and self-report of falls (OR = 2.23, 95%CI 1.47–3.40). Body mass index and calf circumference were inversely associated with hip fractures (OR = 0.91, 95%CI 0.87–0.96 and OR = 0.93, 95%CI 0.88–0.97, respectively), while slow gait speed increased the chance of hip fractures by almost two-fold (OR = 1.80, 95%CI 1.22–2.66).ConclusionOur study reinforces the importance of identified risk factors for hip fracture in community-dwelling older adults beyond bone mineral density and available fracture risk assessment tools. Data obtained in primary care can help physicians, other health professionals, and public health policies to identify patients at increased risk of hip fractures.

Femoral neck width genetic risk score is a novel independent risk factor for hip fractures.

Femoral neck width (FNW) derived from DXA scans may provide a useful adjunct to hip fracture prediction. Therefore, we investigated whether FNW is related to hip fracture risk independently of femoral neck bone mineral density (FN-BMD), using a genetic approach. FNW was derived from points automatically placed on the proximal femur using hip DXA scans from 38 150 individuals (mean age 63.8yr, 48.0% males) in UK Biobank (UKB). Genome-wide association study (GWAS) identified 71 independent genome-wide significant FNW SNPs, comprising genes involved in cartilage differentiation, hedgehog, skeletal development, in contrast to SNPs identified by FN-BMD GWAS which primarily comprised runx1/Wnt signaling genes (MAGMA gene set analyses). FNW and FN-BMD SNPs were used to generate genetic instruments for multivariable Mendelian randomization. Greater genetically determined FNW increased risk of all hip fractures (odds ratio [OR] 1.53; 95% CI, 1.29-1.82 per SD increase) and femoral neck fractures (OR 1.58;1.30-1.92), but not trochanteric or forearm fractures. In contrast, greater genetically determined FN-BMD decreased fracture risk at all 4 sites. FNW and FN-BMD SNPs were also used to generate genetic risk scores (GRSs), which were examined in relation to incident hip fracture in UKB (excluding the FNW GWAS population; n= 338 742, 3222 cases) using a Cox proportional hazards model. FNW GRS was associated with increased risk of all incident hip fractures (HR 1.08;1.05-1.12) and femoral neck fractures (hazard ratio [HR] 1.10;1.06-1.15), but not trochanteric fractures, whereas FN-BMD GRS was associated with reduced risk of all hip fracture types. We conclude that the underlying biology regulating FNW and FN-BMD differs, and that DXA-derived FNW is causally related to hip fractures independently of FN-BMD, adding information beyond FN-BMD for hip fracture prediction. Hence, FNW derived from DXA analyses or a FNW GRS may contribute clinically useful information beyond FN-BMD for hip fracture prediction.

Prognostic Factors of Hip Fracture in Elderly: A Systematic Review.

The hip fracture causes significant disabilities in many elderly people. Many studies around the world have identified various risk factors for the hip fracture. The aim of this study was to systematically investigate the risk factors of hip fractures. This study is a systematic review of risk factors for hip fractures. All published papers in English and Persian languages on patients in Iran and other countries between 2002 - 2022 were examined. The search strategy used keywords matching the mesh, including : predictors, hip fracture, and disability. Articles were selected from international databases (PubMed, Proquest ,Web of Sience, Scopus, Google scholar and Persian(Sid,Magiran), and the Newcastle Ottawa Scale was used to assess the risk of bias. The study has identified several factors that were significantly correlated with the risk of hip fracture, including age, cigarette and alcohol consumption, visual and hearing problems, low BMI levels, history of falling, weakness, and diseases such as stroke, cardiovascular disease, high blood pressure, arthritis, diabetes, dementia, Alzheimer's, Parkinson's, liver and kidney diseases, bone density, osteoporosis, vertebral fracture, and hyperthyroidism. However, the study did not find any significant correlations between the consumption of calcium and vitamin D, history of fractures, cognitive disorders, schizophrenia, and household income, and the risk of hip fracture. The results of this study reveal the determining role of some risk factors in hip fracture in older persons. Therefore, it is recommended that health policy makers provide the possibility of early intervention for some changeable factors.

Association of Hip Geometry with Proximal Femoral Fracture in Elderly Population

Introduction: Hip fractures are a significant global health concern, particularly among the elderly population, with increasing incidence rates predicted in the coming decades. Although different factors like age-related osteoporosis, alcoholism, smoking, high BMI are established causes of hip fracture but none can fully explain the cause of hip fracture. Proximal hip geometry (HAL. FNAL, FNA, FHD, FND) may be associated with hip fracture and is under investigation with conflicting reports. Method: Our study is X-ray based prospective case-control study aiming to evaluate the association of hip geometry parameters with proximal femoral fractures in elderly population. We conducted study involving 102 subjects, including 34 cases with proximal femoral fractures and 68 controls. Various hip geometry parameters were calculated, tabulated and compared to see the difference in hip parameters among fractured and non-fractured group. Additionally, we calculated the mean and standard deviation among male and female subjects and compared between them Result: Our study revealed differences in HAL and FNAL between the case and control groups, suggesting their potential role as risk factors for proximal femoral fractures. However, no significant differences were observed in NSA, FHD, and FND between the two groups. Gender-wise analysis showed significant differences in HAL, FNAL, FHD, and FND between males and females, possibly due to variations in height among them. Conclusion: This study contributes to the understanding of hip fracture risk factors in the elderly population and underscores the importance of considering hip geometry parameters in fracture risk assessment. Larger studies are recommended to further validate these findings.

Development and validation of a predictive nomogram for subsequent contralateral hip fracture in elderly patients within 2 years after hip fracture surgery.

Contralateral hip refracture following initial hip fracture surgery is life-threatening in the elderly with high incidence and mortality. This study investigated the associated independent risk factors and established a nomogram prediction model. Totally 734 elderly patients with hip fractures who underwent surgical treatment (January 2016-December 2020) were enrolled. Following analyses on demographic variables, clinical characteristics, and laboratory examination, independent risk factors of contralateral hip fractures in the elderly were identified through the least absolute shrinkage and selection operator (LASSO) regression, and univariate and multivariate logistic regression. Patients were randomly allocated into training (n = 513) and validation sets (n = 221). A training set-based nomogram prediction model was established and assessed for predictability, discriminatory ability, and clinical applicability using the receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) in both sets. Contralateral hip refractures occurred in 7.08% (52/734) patients within 2 years after surgery. Age, hemoglobin (Hb), heart disease, neurovascular disease, Parkinson's disease (PD), Alzheimer's disease (AD), chronic obstructive pulmonary disease (COPD), and chronic kidney disease (CKD) were independent risk factors. The nomogram prediction model had a favorable discriminatory ability, as indicated by the areas under the ROC curves (AUC): 0.906 (95% CI, 0.845-0.967) in the training set and 0.956 (95% CI, 0.927-0.985) in the validation set. The calibration curves demonstrated a good consistency between the actual subsequent contralateral hip fracture incidence and the predicted probability. The DCA of the nomogram demonstrated the model's excellent clinical efficacy. The nomogram model enabled accurate individualized prediction for the occurrence of subsequent contralateral hip fracture in the elderly within 2 years after surgical treatment, which might help clinicians with precise references for appropriate perioperative management and rehabilitation education following initial hip surgery for their patients.

QCT-based 3D finite element modeling to assess patient-specific hip fracture risk and risk factors

Early assessment of hip fracture risk may play a critical role in designing preventive mechanisms to reduce the occurrence of hip fracture in geriatric people. The loading direction, clinical, and morphological variables play a vital role in hip fracture. Analyzing the effects of these variables helps predict fractures risk more accurately; thereby suggesting the critical variable that needs to be considered. Hence, this work considered the fall postures by varying the loading direction on the coronal plane (α) and on the transverse plane (β) along with the clinical variables—age, sex, weight, and bone mineral density, and morphological variables—femoral neck axis length, femoral neck width, femoral neck angle, and true moment arm. The strain distribution obtained via finite element analysis (FEA) shows that the angle of adduction (α) during a fall increases the risk of fracture at the greater trochanter and femoral neck, whereas with an increased angle of rotation (β) during the fall, the FRI increases by ∼1.35 folds. The statistical analysis of clinical, morphological, and loading variables (αandβ) delineates that the consideration of only one variable is not enough to realistically predict the possibility of fracture as the correlation between individual variables and FRI is less than 0.1, even though they are shown to be significant (p<0.01). On the contrary, the correlation (R2=0.48) increases as all variables are considered, suggesting the need for considering different variables fork predicting FRI. However, the effect of each variable is different. While loading, clinical, and morphological variables are considered together, the loading direction on transverse plane (β) has high significance, and the anatomical variabilities have no significance.

Possible sarcopenia and risk of hip fracture in older adults in China

BackgroundThe Asian Working Group for Sarcopenia (AWGS) introduced the concept of “possible sarcopenia” in 2019. However, the association between possible sarcopenia and hip fracture is not well characterized. Hence, we conducted a study to explore this association in older Chinese adults. MethodsThis was a population-based cohort study based on nationally representative data from the China Health and Retirement Longitudinal Study. Individuals aged ≥60 years with no history of hip fracture at baseline (2011–2012) were included and followed up until September 2018. Possible sarcopenia was defined based on the AWGS 2019 criteria during the study period, and the occurrence of hip fractures was monitored. The association between possible sarcopenia and hip fractures was assessed using Cox proportional hazards regression models. ResultsA total of 4,011 participants were included, of whom 44.8 % had possible sarcopenia. During the 7-year follow-up, 197 individuals experienced hip fractures. Individuals with possible sarcopenia had a significantly higher risk of hip fractures than those without possible sarcopenia (hazard ratio: 2.00, 95 % confidence interval: 1.46–2.75; P < 0.001). The association was consistently observed across various subgroups based on age, sex, and overweight status. ConclusionsThis study identified possible sarcopenia as a significant risk factor for hip fractures in older Chinese adults. These findings underscore the importance of addressing possible sarcopenia as a preventive measure to reduce the incidence of hip fractures.

THU414 Asthma And Cardiometabolic Diseases As Major Risk Factors For Fractures In Women With Osteopenia: Nationwide Cohort Study

Abstract Disclosure: S. Kong: None. A. Jo: None. C. Park: None. K. Park: None. J. Yun: None. J. Kim: None. S. Kim: None. C. Shin: None. Background: The study aimed to demonstrate the risk factors for fractures and to develop prediction models for major osteoporotic and hip fractures in osteopenic patients using the nationwide cohort study in South Korea. Methods: The study was a retrospective nationwide study using the national screening program for transitional ages from the National Health Insurance Services database in Korea from 2008 to 2019. Primary outcomes were incident fracture events of major osteoporotic and hip fractures. Major osteoporotic and hip fracture events were defined as diagnostic and procedural codes. Patients were followed until the fragility fractures, death, or 2019, whichever came first. Results: All participants were 66-year-old females, with a mean body mass index was 25.0±3.1 kg/m2. During a median follow-up of 10.5 years, 26.9% and 6.7% of participants experienced major osteoporotic and hip fractures. In multivariate analysis, a history of fracture, asthma/chronic obstructive pulmonary disease (COPD), falls, diabetes mellitus and cerebrovascular diseases were significant risk factors for major osteoporotic (hazard ratio [HR] 2.35 for a history of fracture; 1.17 for asthma/COPD; 1.10 for falls; 1.12 for diabetes mellitus; 1.11 for cerebrovascular disease) and hip fractures (HR 1.75 for a history of fracture; 1.54 for diabetes mellitus; 1.27 for cerebrovascular disease; 1.17 for fall; 1.15 for asthma/COPD). The performances of the prediction models were area under the receiver operating curve of 0.73 and 0.75 for major osteoporotic and hip fractures. Conclusion: The study presented prediction models of major osteoporotic and hip fractures for osteopenia patients using simple clinical features, and showed that asthma and cardiometabolic diseases are major risk factors for fractures in women with osteopenia. Presentation: Thursday, June 15, 2023

Does hyponatremia pose a risk factor for hip fractures in the elderly? Can a primary physician prevent it?

Fracture around the hip is amongst the most common and serious fractures in the elderly, which leads to significant morbidity and mortality. In literature, many authors noted that even mild hyponatremia adversely affects bone, leading to an increased incidence of fractures. We aim to determine whether chronic hyponatremia (>90-day duration) increases the risk of hip fracture in the elderly and whether primary care physicians can help to prevent it. During the period from January 2020 to March 2022, we identified 145 patients aged between 65 and 90 years who were admitted to the hospital with hip fractures following a fall and compared them with 140 healthy controls. We recorded sodium (Na) serum levels in all included patients at the time of arrival and consequently for 3 days and compared them with those of controls. Logistic regression was used to calculate odds ratios (ORs). We measured serum Na levels for 3 days and took the average to ascertain hyponatremia. In the study, the odds of hyponatremia were 70.3% with a confidence interval of 95% versus 3.6% in controls (P = 0.05). Age and hyponatremia were strongly associated with hip fractures following a fall. With a 5-year increase in age, the univariate OR for hip fracture increased by 5.67 (P < 0.0001). After adjusting for age, cases were nearly six times more likely to be hyponatremic than controls (OR = 4.90, P = 0.04). In our study, we noted that even mild chronic hyponatremia in old age increased the chance of falls. Addressing hyponatremia in the elderly may reduce the risk of falls and minimize hip fractures.