Hip Fracture Research Articles

Blood and Bone-Derived DNA Methylation Ages Predict Mortality After Geriatric Hip Fracture: A Pilot Study.

The purpose of this study was to (1) perform the first analysis of bone-derived DNA methylation, (2) compare DNA methylation clocks derived from bone with those derived from whole blood, and (3) establish a relationship between DNA methylation age and 1-year mortality within the geriatric hip fracture population. Patients ≥65 years old who presented to a Level-I trauma center with a hip fracture were prospectively enrolled from 2020 to 2021. Preoperative whole blood and intraoperative bone samples were collected. Following DNA extraction, RRBS (reduced representation bisulfite sequencing) libraries for methylation clock analysis were prepared. Sequencing data were analyzed using computational algorithms previously described by Horvath et al. to build a regression model of methylation (biological) age for each tissue type. Student t tests were used to analyze differences (Δ) in methylation age versus chronological age. Correlation between blood and bone methylation ages was expressed using the Pearson R coefficient. Blood and bone samples were collected from 47 patients. DNA extraction, sequencing, and methylation analysis were performed on 24 specimens from 12 subjects. Mean age at presentation was 85.4 ± 8.65 years. There was no difference in DNA extraction yield between the blood and bone samples (p = 0.935). The mean follow-up duration was 12.4 ± 4.3 months. The mortality cohort (4 patients, 33%) showed a mean ΔAgeBone of 18.33 ± 6.47 years and mean ΔAgeBlood of 16.93 ± 4.02 years. In comparison, the survival cohort showed a significantly lower mean ΔAgeBone and ΔAgeBlood (7.86 ± 6.7 and 7.31 ± 7.71 years; p = 0.026 and 0.039, respectively). Bone-derived methylation age was strongly correlated with blood-derived methylation age (R = 0.81; p = 0.0016). Bone-derived DNA methylation clocks were found to be both feasible and strongly correlated with those derived from whole blood within a geriatric hip fracture population. Mortality was independently associated with the DNA methylation age, and that age was approximately 17 years greater than chronological age in the mortality cohort. The results of the present study suggest that prevention of advanced DNA methylation may play a key role in decreasing mortality following hip fracture. Prognostic Level I. See Instructions for Authors for a complete description of levels of evidence.

Comorbidity problems in patients with osteoporosis

BACKGROUND: Osteoporosis is a metabolic skeletal disease characterized by decreased bone mass, impaired microarchitecture of bone tissue and, as a consequence, fractures with minimal trauma. The social significance of osteoporosis is determined by its consequences — fractures of the vertebral bodies and bones of the peripheral skeleton, leading to high medical costs and causing a high level of disability, including disability and mortality. Osteoporosis is most often combined with cardiovascular diseases caused by atherosclerosis, which are widespread and are the leading cause of disability and mortality. A small number of studies have been devoted to the study of the features of clinical manifestations of cardiovascular diseases in the combination of coronary heart disease and osteoporosis. AIM: To identify the frequency and severity of comorbid diseases and their risk factors in postmenopausal osteoporosis. MATERIALS AND METHODS: A retrospective and prospective cohort study was conducted from 2013 to 2023. 8250 women with postmenopausal osteoporosis were examined and the data from the medical records of these patients who applied to the Osteoporosis Center of the North-Western State Medical University named after I.I. Mechnikov of the Ministry of Health of the Russian Federation from 2013 to 2020 were analyzed. At the prospective stage, two comparison groups of 100 patients with and without postmenopausal osteoporosis were formed from 500 patients with comorbid diseases (coronary heart disease, hypertension, type 2 diabetes, stroke, transient ischemic attack). Bone mineral density was assessed based on the Hologic Discoveri Wi dual-energy X-ray absorptiometry at 2 points in the lumbar spine (L1–L4) and the femoral neck. Along with traditional laboratory examination methods, bone metabolism markers (total calcium, phosphorus, vitamin D, urine analysis for deoxypyridinoline, C-terminal telopeptide of type 1 collagen, osteocalcin, alkaline phosphatase, parathyroid hormone) were assessed dynamically. In all the patients, along with a general clinical examination, an assessment of risk factors for cardiovascular disease and osteoporosis was performed. RESULTS: Body mass index was higher in the group of patients with osteoporosis — 28.4 (26.9–32.4) kg/m2 (p 0.001), versus 27.64 (25.8–30.0) kg/m2 (p 0.05). Bone mineral density in the group of patients with osteoporosis was statistically lower than in the group without osteoporosis. In the group of patients with osteoporosis, the risk of fractures was high and amounted to 37 (95% confidence interval 15.0–38.50) %, p 0.001), versus in the control group 9.55 (95% confidence interval 7.67–15.0) % (p 0.001) according to the FRAX questionnaire for the Russian Federation. In the group of patients with osteoporosis, the Charlson index values were 5.1 (95% confidence interval 4.7–5.6) points. As a result of the correlation analysis, a reliable positive relationship was revealed between low bone mineral density L1–L4 and hip with bone metabolism: alkaline phosphatase, C-terminal telopeptide of type 1 collagen, vitamin D, osteocalcin, urinary deoxypyridinoline. We found a negative relationship between bone mineral density and the Charlson index, absolute ten-year risk of hip fracture and the duration of early menopause, and the level of hypertension. To assess the dependence of QRISK3-2018 on osteoporosis risk factors in the group of patients with osteoporosis, multiple linear regression was performed. This model was characterized by a statistically significant correlation between the factors and the dependent variable of high tightness. The coefficient of determination was 0.608, indicating a 60.8% contribution of the factors taken into account in the model to the variance of QRISK3-2018. CONCLUSIONS: In women with postmenopausal osteoporosis, comorbid pathology is more common, aggravating the course of the disease. Knowledge of the prevalence of concomitant pathology and joint risk factors will make it possible to simultaneously form groups at increased risk of development, which will ensure prevention of both diseases with the same non-medical means and drugs.

Treatment of local purulent postoperative soft tissue complications in patients of older age groups with fractures of the proximal femur

BACKGROUND: Surgical treatment of fractures of the proximal femur in elderly patients makes it possible to put patients on their feet early and improve their quality of life. Local purulent complications in the postoperative period after hip fractures surgical treatment occur in 5–10% of cases. AIM: To improve the treatment outcomes of patients with local postoperative purulent complications of soft tissues by a comparative analysis of treatment methods with various antibacterial, antiseptic hydrogels and physical methods of wound treatment. MATERIALS AND METHODS: The article presents the nature of local purulent complications, their clinical picture, and diagnostic features. All the patients are divided into 2 groups. The main group included 53 patients, and the control group included 48. The patients of the main group underwent comprehensive treatment of local purulent complications using modern technologies (plasma scalpel) and dressings with hydrogel Argacol. The control group was treated with traditional bandages with dioxomethyltetrahydropyrimidine and chloramphenicol. RESULTS: The use of surgical wound treatment using a plasma scalpel and dressings with multifunctional hydrogel allows to accelerate the wound healing process by 2–3 weeks compared with the use of traditional techniques. CONCLUSIONS: The application of the proposed tactics of providing specialized care to elderly patients with a fracture of the proximal femur allows for a significant (p 0.05) improvement in treatment results.

Predictive modeling of preoperative acute heart failure in older adults with hypertension: a dual perspective of SHAP values and interaction analysis

BackgroundIn older adults with hypertension, hip fractures accompanied by preoperative acute heart failure significantly elevate surgical risks and adverse outcomes, necessitating timely identification and management to improve patient outcomes.Research objectiveThis study aims to enhance the early recognition of acute heart failure in older hypertensive adults prior to hip fracture surgery by developing a predictive model using logistic regression (LR) and machine learning methods, optimizing preoperative assessment and management.MethodsEmploying a retrospective study design, we analyzed hypertensive older adults who underwent hip fracture surgery at Hebei Medical University Third Hospital from January 2018 to December 2022. Predictive models were constructed using LASSO regression and multivariable logistic regression, evaluated via nomogram charts. Five additional machine learning methods were utilized, with variable importance assessed using SHAP values and the impact of key variables evaluated through multivariate correlation analysis and interaction effects.ResultsThe study included 1,370 patients. LASSO regression selected 18 key variables, including sex, age, coronary heart disease, pulmonary infection, ventricular arrhythmias, acute myocardial infarction, and anemia. The logistic regression model demonstrated robust performance with an AUC of 0.753. Although other models outperformed it in sensitivity and F1 score, logistic regression’s discriminative ability was significant for clinical decision-making. The Gradient Boosting Machine model, notable for a sensitivity of 95.2%, indicated substantial capability in identifying patients at risk, crucial for reducing missed diagnoses.ConclusionWe developed and compared efficacy of predictive models using logistic regression and machine learning, interpreting them with SHAP values and analyzing key variable interactions. This offers a scientific basis for assessing preoperative heart failure risk in older adults with hypertension and hip fractures, providing significant guidance for individualized treatment strategies and underscoring the value of applying machine learning in clinical settings.

Association between theSp1-binding-site polymorphism in the collagen type I alpha 1 (COLIA1) gene and bone phenotypes: the Dubbo Osteoporosis Epidemiology Study.

Polymorphisms within the collagen 1 alpha 1 gene (COLIA1) have been shown to be associated with bone mineral density (BMD). This study aimed to test the hypothesis that COLIA1 polymorphisms are associated with bone loss and fragility fractures. The study involved 809 postmenopausal women aged 60years and above in the Dubbo Osteoporosis Epidemiology Study who had COLIA1 genotypes and at least two BMD measurements over a 30-year period. BMD at the lumbar spine (LSBMD) and femoral neck (FNBMD) was measured biennially by dual-energy X-ray absorptiometry (GE-Lunar Prodigy). Fragility fracture has been ascertained by X-ray reports between 1990 and 2020. The G-> T polymorphism at the Sp1-binding site in the COLIA1 gene (rs1800012) was determined by the PCR-based method, and coded as GG, GT, and TT. Women homozygous for the minor allele (TT) tended to have greater bone loss (-0.72%/year) than those with GT (-0.58%/year) or GG (-0.56%/year) though the difference did not achieve statistical significance (P = 0.84). Women of the TT genotype were associated with a two-fold greater risk of any fracture (adjusted hazard ratio: 2.21; 95%CI 1.42-3.46) and almost fourfold greater risk of hip fracture (3.78; 1.83-7.82) than those with either GG or GT genotype. Polymorphisms at the Sp1 site in the COLIA1 gene are associated with fracture risk, independent of bone loss.

Prognostic nutritional index (PNI) is an independent predictor for functional outcome after hip fracture in the elderly: a prospective cohort study

SummaryThe prognostic nutritional index (PNI) is a useful tool for assessing nutritional status using serum albumin and lymphocyte count. This study indicates that a higher preoperative PNI correlates with improved mobility and health-related quality of life during the initial postoperative period in elderly patients with hip fractures.PurposeTo investigate the prognostic value of the prognostic nutritional index (PNI) in predicting mobility and health-related quality of life (HRQoL) in elderly hip fracture patients after surgery.MethodsWe prospectively involved patients aged 65 and above, who could walk freely before injury and underwent surgery between 2018 and 2019. Admission PNI was calculated as serum albumin (g/L) + 5 × total lymphocyte count (× 109/L). Patients were classified into two groups based on PNI median value. All patients were followed up by telephone for four times (30-day, 120-day, 1-year, and 3-year after surgery). The Fracture Mobility Score (FMS) and EuroQol 5-Dimension 5-Level (EQ-5D 5L) were used to evaluate mobility and HRQoL, respectively.ResultsOf 705 eligible patients, 487 completed all assessments. Patients in the higher PNI group had a significantly increased possibility of achieving unrestricted mobility at the 120-day follow-up (OR 1.69, 95% CI 1.10–2.61, P.adj = 0.017), while no significant differences were observed at other follow-ups. Additionally, patients in the higher PNI group had a significantly higher EQ-5D utility value at the 30-day follow-up (P.adj = 0.015). A linear regression model with adjusting for all confounders showed that admission PNI value was positively associated with EQ-5D utility values at 30-day, 120-day, and 1-year follow-up assessments (P.adj = 0.011, P.adj = 0.001, and P.adj = 0.030, respectively). However, this correlation was not observed at the 3-year time point (P.adj = 0.079).ConclusionThe PNI is a valuable predictor of functional outcomes in elderly patients with hip fractures following surgery.

Study on the predictive model of delirium risk after surgery for elderly hip fractures based on meta-analysis.

To develop and validate a risk prediction model for postoperative delirium in elderly patients with hip fractures, aiming to identify high-risk patients and implement preventive measures. A systematic search of five authoritative medical databases was conducted, retrieving a total of 1368 relevant articles. After screening, 44 high-quality studies were included in the meta-analysis, analyzing 13 potential risk factors, such as age, gender, diabetes, and history of stroke. A risk prediction model was constructed and validated in a cohort of 189 elderly hip fracture patients. The model's predictive performance was evaluated using ROC curves, with calibration assessed through the Hosmer-Lemeshow test, and clinical utility examined via Decision Curve Analysis (DCA) and Clinical Impact Curves (CIC). The meta-analysis identified the following as independent risk factors for postoperative delirium: age (≥ 70years), male gender, diabetes, history of stroke, preoperative comorbidities (≥ 2), previous delirium, preoperative cognitive impairment, low preoperative albumin levels (≤ 40g/L), prolonged preoperative waiting time (≥ 48h), anemia (≤ 100g/L), ASA classification (≥ 3), use of general anesthesia, and prolonged surgery duration (≥ 2h). The prediction model demonstrated strong efficiency in the validation cohort, with an AUC of 0.956, sensitivity of 87.3%, specificity of 94.8%, and a Brier score of 0.144, indicating high predictive accuracy and calibration. DCA and CIC analyses showed the model to have strong clinical decision-making value and impact across most thresholds. The risk prediction model developed in this study shows high predictive accuracy and clinical utility, making it valuable for identifying high-risk patients and implementing preventive measures in clinical practice. However, the study has limitations, such as potential retrospective bias, and further validation in larger, multicenter prospective studies is needed to confirm the model's broader applicability and stability.

Glucose-albumin ratio (GAR) as a novel biomarker for predicting postoperative pneumonia (POP) in older adults with hip fractures

Postoperative pneumonia (POP) is a common complication after hip fracture surgery and is associated with increased mortality and other complications in elderly patients. This study aims to evaluate biomarkers, especially the glucose-albumin ratio (GAR), for predicting POP in elderly hip fracture patients. A total of 1279 elderly patients admitted to our hospital with hip fractures were included. We assessed 29 biomarkers and focused on GAR to determine its prognostic and predictive value for POP. Multivariable logistic regression and propensity score-matched analyses were conducted to calculate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for POP, adjusting for potential confounders. Receiver operating characteristic (ROC) curves were utilized to determine the optimal cut-off of GAR for predicting POP. Among the biomarkers and combinations assessed, GAR demonstrated superior predictive capability for POP in elderly hip fracture patients. ROC analyses showed moderate predictive accuracy of GAR for POP, with an area under the curve of 0.750. Using the optimal cut-off of 0.175, the high GAR group was significantly associated with increased odds of POP (adjusted OR 2.14, 95%, CI 1.50–3.05). These associations remained significant after propensity score matching and subgroup analyses. Dose–response relationships between GAR and POP were observed. In conclusion, GAR may be a promising biomarker to predict POP risk in elderly hip fracture patients. Further studies are warranted to validate its clinical utility. However, this study has certain limitations, including its retrospective design, potential for selection bias due to the exclusion criteria, and the single-center nature of the study, which should be addressed in future prospective, multicenter studies.

Clinical, laboratory, and hospital factors associated with preoperative complications in Peruvian older adults with hip fracture.

To determine the clinical, laboratory, and hospital factors associated with preoperative complications in older adults with hip fractures. Analytical observational retrospective cohort study, whose population was older adults with a diagnosis of hip fracture treated in a hospital in northern Peru, during 2017-2019. 432 patients with a median age of 83 years (RIC: 77-88) were evaluated, with the female gender being the most prevalent (60.9%). The most common comorbidities included cardiovascular disease (68%) and diabetes (17.6%), and multimorbidity was observed in 47.2% of cases. The median number of geriatric syndromes was 2 (RIC: 1-5). The overall mortality rate was 3.2% (1.7-5.3). Analysis with the Poisson regression model found a significant association with MRC scale 3-5 degree (RR = 1.60), glucose on admission (RR = 1.01), and minimally significantly female sex (RR = 2.41). The most commonly observed complications were infectious in nature, including pneumonia, sepsis, and urinary tract infections. The MRC scale from 3 to 5 degrees increases the risk of developing a preoperative complication; the glucose levels upon admission show a clinically irrelevant association; and in females, there is a minimally significant association in older adults with hip fractures.

Principles of the Orthogeriatric Model of Care: A Primer

It is well known that over the last few decades, there has been significant growth of the aging population worldwide and especially in Europe, with an increase of more than two years per decade since the 1960’s. Currently, in Europe, people aged over 65 years old represent 20% of the population, creating many new and complex challenges for national healthcare systems. In many countries, geriatric medicine is an established medical specialty, integrated into the primary and secondary care of the older population. In some countries, such as Portugal, specialist training in geriatric medicine is not available, even though the life-expectancy in Portugal is currently 81 years due to a decrease in fertility and mortality, and people aged over 60 currently represent nearly a third of the population. There is strong evidence in the medical literature that a fracture following a fall, and especially a neck of femur fracture, is one of the most serious events that can happen in an older person’s lifetime. These fractures have been associated with increased morbidity, loss of independence, a high rate of institutionalization, and mortality. Rates of mortality after a year from femoral fractures have been proven to be three to four times higher than the expected in the general population, ranging between 15% to 36%. This emphasizes the importance of developing well-organized care pathways for these patients, which combine specialized geriatric care (also known as orthogeriatric care). This narrative review will focus on the core principles of orthogeriatric care and how medical professionals, including those who are not specialized in geriatric care, can effectively use them.

A Comparative Analysis of Age, BMI, Age/BMI Ratio, Nottingham Hip Fracture Score, and American Society of Anesthesiologists (ASA) Grade as Predictors of 30-Day Mortality After Neck of Femur Fractures: A Retrospective Cohort Study

A Comparative Analysis of Age, BMI, Age/BMI Ratio, Nottingham Hip Fracture Score, and American Society of Anesthesiologists (ASA) Grade as Predictors of 30-Day Mortality After Neck of Femur Fractures: A Retrospective Cohort Study

Comparison of Bone Mineral Density Between Veterans and Non-Veterans and Its Impact on Fracture Risk Assessment

Background and Objectives: Osteoporosis poses significant health risks, especially among veterans, due to lifestyle factors. This study compares bone density and fracture risks between male veterans and non-veterans. Materials and Methods: We conducted a retrospective analysis of 1427 veterans from the Taichung Veterans General Hospital osteoporosis database (2010–2022), matched 1:1 by age and gender with non-veterans. Bone mineral density (BMD) was measured via dual-energy X-ray absorptiometry (DXA). Comorbidities, fracture sites, and mortality data were tracked. Conditional logistic regression was used to identify factors influencing fracture risk. Results: The study found that veterans have a higher fracture risk (univariable OR 1.24, multivariable OR 1.20, p < 0.001). Fracture victims were slightly younger in the veterans group (78.7 ± 10.0 years vs. 80.1 ± 9.2 years, p = 0.010), who also had better T-scores in the lumbar spine and left femoral neck. Veterans showed a higher post-fracture mortality rate (39.9% vs. 31.9%, p = 0.001) and a greater incidence of radial fractures (5.01% vs. 2.96%, p = 0.036). Importantly, veterans exhibited a trend toward more hip fractures compared with non-veterans (27.0% vs. 23.6%, p = 1.017), suggesting a potential difference despite not reaching statistical significance. Conclusions: In the present study, we found that veterans have higher rates of comorbidities, and higher mortality after a fracture event, highlighting the need for targeted medical interventions to address these differences. Further intervention to prevent avoidable fractures and the provision of adequate care for long-term osteoporosis management remain critical issues.

Distant migration of a broken guide pin following femoral neck fixation: a case report

IntroductionKirschner wires are frequently employed in orthopedic procedures. While most complications are minor, rare instances of distant pin migration can occur. Such migration is more prevalent in the shoulder region but has been reported elsewhere.Case presentationA 50-year-old Persian male with a right femoral neck fracture (Garden type IV) underwent closed reduction and internal fixation with three cannulated screws. During the procedure, a guide pin broke and remained lodged. Follow-up radiographs revealed the migrated pin in the patient’s chest wall near the 11th rib, necessitating surgical removal via thoracotomy.ConclusionThis case underscores the potential for orthopedic implant migration. While often associated with smaller pins, the risk exists for all sizes. The timeframe for diagnosis varies significantly and in some cases it can be asymptomatic and discovered incidentally.

Clinical and subclinical arteriosclerotic disease in octagenarians with hip fracture. A case–control study

Background and objectivesEvaluate clinical and subclinical arteriosclerotic disease in older patients with hip fracture compared with patients without fracture in order to increase knowledge about the relation between both diseases in older individuals. Patients and methodsAge- and sex-matched case–control study of octogenarians with and without recent hip fracture. Vascular risk factors, subclinical vascular diseases (assessed by carotid plaques, carotid intima media thickness and arterial stiffness) as well as cardiovascular diseases were analyzed. Univariate and multivariate logistic models were used to estimate odds ratios (OR) with their 95% confidence intervals (CI) to assess the association of the arteriosclerosis and hip fracture. ResultsWe analyzed 95 patients per group with a median age of 82 [79–87] years of whom 77.9% were female. Patients in both groups have elevated rates of vascular disease (25%) without differences between them. Patients with hip fracture had higher subclinical arteriosclerotic alterations with higher percentage of carotid plaques (OR 3.25 [1.06–9.97]) compared with the control group. ConclusionsOlder patients with hip fracture had significantly higher presence of subclinical alterations but not increase on rate of cardiovascular arteriosclerotic disease compared with those without hip fracture.

A novel clinical prediction model for hip fractures: a development and validation study in the total population of Sweden

Low bone density and osteoporosis are indications for bone-specific treatment. However, given the limited availability of bone density data in clinical practice and the fact that most patients with hip fracture do not have osteoporosis, accurate prediction of hip fracture risk in the absence of bone density data would be crucial. This development and validation study included the entire Swedish population aged 50 years or older in 2005 (N=3,340,977) and was conducted by cross-linking data from nationwide registers. Potential predictive variables included diagnoses, prescription medications, familial factors, frailty-related factors, and socioeconomic factors. The primary endpoint was the 5-year risk of hip fracture. Fracture prediction algorithms were developed and validated using multivariable models. Model performance and validation was also examined in a sub cohort restricted to 504,431 individuals with non-Swedish background. During a total follow-up of 15.2 million person-years, 87,089 individuals suffered a hip fracture within 5 years. In the final prediction model, 19 variables were associated with a population attributable fraction of 93.9% (95% CI, 93.7-94.1) in women and 92.7% (95% CI, 92.2-93.0) in men. The strongest predictor, besides old age, was the use of homemaker service, with a 5-year risk of hip fracture of 7.8% in women and 4.7% in men. The diagnoses most strongly predicting the 5-year risk of hip fracture was Parkinson's disease (6.8% in women, 4.6% in men) and dementia (6.1% in women, 3.6% in men). Validation of the prediction model suggested that the optimal threshold for treatment with bone-specific agents was an estimated 5-year hip fracture risk of 3%. Assuming a threshold of 3% and a 30% relative risk reduction from bone-specific treatment, the number needed to treat to prevent one hip fracture was estimated to 36 in women and 52 in men. Similar results were obtained in the sub cohort with non-Swedish background. A clinical prediction model developed and validated in the total Swedish population could predict the risk of hip fractures with high precision even in absence of data on bone density. The model was associated with a population attributable fraction for hip fracture of more than 90%, and the strongest predictor besides old age was the use of homemaker service, which likely reflect frailty. Based on the model, individuals with an estimated 5-year risk of hip fracture of at least 3% could be considered for bone-specific treatment. None.

Can the APACHE II score be used to assess the risk of mortality in the elderly with hip fractures?

<p><strong>Aim </strong>Various predictive models have been developed to help identify patients with hip fractures with greater or lower probability of survival. The aim of this study was to establish the capacity of the APACHE II score to predict the survival of patients with hip fracture, in people aged over 65 years, and compare it with the existing score used to predict the survival of these patients. </p> <p><strong>Methods </strong>This was a prospective, cohort study conducted in a tertiary care teaching hospital including 410 consecutive patients with hip fracture aged ≥65 years. As part of the preoperative preparation, general health of the patients was classified according to the ASA score. The Charlson Comorbidity Index (CCI), the Nottingham Hip Fracture Score (NHFS), the POSSUM-P and the APACHE II scores were analysed. </p> <p><strong>Results </strong>The sensitivity and specificity of the P-POSSUM score were 78.3 and 73.0, respectively, which was better than the APACHE II whose sensitivity and specificity were 56.6 and 89.7. The area beneath the ROC curve for P-POSSUM was 0.809, and for APACHE II, 0.803. However, there was no statistically significant difference between the APACHE II and P-POSSUM scores. The P-POSSUM and APACHE II scores were statistically significantly better than ASA, the Nottingham score and CCI. </p> <p><strong>Conclusion </strong>This study showed that POSSUM-P and APACHE II can be used to predict mortality in elderly people with hip fractures. </p>

Systemic immune-inflammation index and 2-year all-cause mortality in elderly patients with hip fracture

PurposeTo assess the association between systemic immune-inflammation index (SII) and 2-year all-cause mortality in elderly patients with hip fractures. MethodsWe performed a cohort study of hip fracture patients aged 65 years or older who received hip fracture surgery at a tertiary hospital from January 2005 to March 2022. The SII was calculated as: SII = (neutrophil count * platelet count) / lymphocyte count, based on the latest blood test before discharge. Patients were categorized into 3 groups according to SII tertiles: low SII group (≤770.92 × 109/L), medium SII group (770.92 × 109/L -1293.03 × 109/L), and high SII group (>1293.03 × 109/L). The primary outcome was 2-year all-cause mortality. We evaluated the association between SII and 2-year all-cause mortality using the multivariate Cox regression model. ResultsAmong 2,766 patients, 296 patients died during the 2-year follow-up period. The incidence of 2-year all-cause mortality per 1,000 persons was 90.0 (95% CI, 73.2-110.2) in the low SII group, 86.8 (95% CI, 70.3-106.7) in the medium SII group, and 144.3 (95% CI, 123.1-168.5) in the high SII group. Compared with patients in the low SII group, the hazard ratio for 2-year all-cause mortality was 0.97 (95% Cl 0.69-1.37) in the medium SII group and 1.47 (95% Cl 1.07-2.01) in the high SII group (P for trend, 0.001). ConclusionSII is significantly associated with 2-year all-cause mortality in elderly patients with hip fracture. SII may be used to identify patients at high risk of mortality after hip fracture surgery.

Ipsilateral Femoral Neck and Shaft Fractures: Complex Injuries With High Rates of Femoral Shaft Nonunion.

To investigate nonunion rates and risk factors in patients with ipsilateral femoral neck and shaft fractures. Retrospective review. Two Level I trauma centers. Two hundred seven patients treated for ipsilateral femoral neck (AO/OTA 31-B) and shaft (AO/OTA 32A-C) fractures from 2013 to 2022. Patients with less than 6 months of follow-up were excluded. The primary outcome of this study was femoral shaft nonunion. Risk factors for nonunion were evaluated, including smoking, open fracture, delay to full weight-bearing, blood transfusions, and AO/OTA classification. Two hundred twenty-seven patients were initially identified, but only 154 patients had sufficient follow-up and were included in final analysis. The mean age was 38.9 years (SD = 15.3), and injury severity score was 19.5 (9.7). One hundred ten patients (71%) were male and 69 (45%) required intensive care unit care. Thirty-eight patients (25%) experienced an open fracture, and 44 fractures (29%) were AO/OTA Type C. Thirty patients (20%) underwent initial external fixation, and 88 patients (57%) received a perioperative transfusion. Thirty-four patients (22%) developed a femoral shaft nonunion, and 5 (3%) experienced a surgical site infection. Nonunion was associated with perioperative blood transfusion, AO/OTA Type C fracture, postoperative non-weight-bearing, and delay to full weight-bearing ≥12 weeks. Multivariable regression identified perioperative blood transfusion ≥3 (risk ratio [RR] = 1.91; CI, 1.12-2.72; P = 0.02) and AO/OTA Type C fracture (RR = 2.45; CI, 1.50-3.34; P = 0.001) as independent risk factors. Ipsilateral femoral neck and shaft fractures remain difficult injuries to treat. Much attention is given to diagnosis and treatment of the femoral neck component. These results suggest that successful treatment of the femoral shaft component presents its own challenges with high nonunion rates. Prognostic Level III.

Dynamic Parallel Traction Theoretical Model for the Application and Validation in Femoral Neck Fractures - A Finite Element Analysis

Dynamic Parallel Traction Theoretical Model for the Application and Validation in Femoral Neck Fractures - A Finite Element Analysis

Multivariate analysis of blood parameters for predicting mortality in patients with hip fractures.

The present retrospective cross-sectional study aimed to evaluate the predictive value of blood parameters and ratios for predicting mortality in patients with hip fractures. In total, 758 patients with hip fractures attending the Department of Orthopedics and Traumatology, Kütahya Health Sciences University Faculty of Medicine (Kütahya, Turkey) between January 2016 and January 2023 were included in the present study. Patients were then divided into two groups, namely the mortality (n=464; 61.2%) and survivor (n=294; 38.8%) groups. Patients in the mortality group were further sub-divided into the following three subgroups: i) Those who succumbed in <1 month (n=117; 25.2%); ii) those who succumbed between 1 and 12 months (n=185; 39.9%); and iii) those who succumbed >12 months later (n=162; 34.9%). In addition, the RDW coefficient of variation, mean platelet volume (MPV), MPV/platelet ratio, neutrophil-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, platelet-to-lymphocyte ratio (PLR), mean platelet volume-to-lymphocyte ratio and monocyte-to-eosinophil ratio means were all found to be significantly higher in the mortality group (P<0.05). MPV (P<0.01), HGB (P<0.05), eosinophil, EOS (P<0.01), HRR (P<0.01), and PLR (P<0.05) were all revealed to exert significant effects on mortality. An age cut-off of 74.50 years had a sensitivity of 81.5% and specificity of 37.1%, whereas an MPV cut-off of 8.85 yielded a sensitivity of 73.5% and specificity of 36.1%. By contrast, an HGB cutoff of 11.05 had a sensitivity of 55.6% and specificity of 35.7%, an eosinophil cut-off of 0.065 had a sensitivity of 47.6% and specificity of 35.4%, whilst a HRR cut-off of 0.7587 had a sensitivity of 55.2% and specificity of 30.3%. Furthermore, a PLR cut-off of 152.620 had a sensitivity of 67.2% and specificity of 41.8% for hip fracture-associated mortality. An age cut-off of 79.50 years had a sensitivity of 70.9% and specificity of 41.5%, while an age cut-off of 83.50 years had a sensitivity of 46.2% and specificity of 64.0% for mortality occurring <1 month after hip fractures. To conclude, results from the present study suggested that HRR has potential predictive value for hip fracture-associated mortality and 30-day mortality, whereas the PLR could only predict hip fracture-associated mortality.