Risk factors for in-hospital post-hip fracture mortality

Comorbidity Patterns in Older Patients Undergoing Hip Fracture Surgery: A Comorbidity Network Analysis Study

Comorbidity network analysis (CNA) is a technique in which mathematical graphs encode correlations (edges) among diseases (nodes) inferred from the disease co-occurrence data of a patient group. The present study applied this network-based approach to identifying comorbidity patterns in older patients undergoing hip fracture surgery. This was a retrospective observational cohort study using electronic health records (EHR). EHR data were extracted from the one University Health System in the southeast United States. The cohort included patients aged 65 and above who had a first-time low-energy traumatic hip fracture treated surgically between October 1, 2015 and December 31, 2018 (n = 1,171). Comorbidity includes 17 diagnoses classified by the Charlson Comorbidity Index. The CNA investigated the comorbid associations among 17 diagnoses. The association strength was quantified using the observed-to-expected ratio (OER). Several network centrality measures were used to examine the importance of nodes, namely degree, strength, closeness, and betweenness centrality. A cluster detection algorithm was employed to determine specific clusters of comorbidities. Twelve diseases were significantly interconnected in the network (OER > 1, p-value < .05). The most robust associations were between metastatic carcinoma and mild liver disease, myocardial infarction and congestive heart failure, and hemi/paraplegia and cerebrovascular disease (OER > 2.5). Cerebrovascular disease, congestive heart failure, and myocardial infarction were identified as the central diseases that co-occurred with numerous other diseases. Two distinct clusters were noted, and the largest cluster comprised 10 diseases, primarily encompassing cardiometabolic and cognitive disorders. The results highlight specific patient comorbidities that could be used to guide clinical assessment, management, and targeted interventions that improve hip fracture outcomes in this patient group.

[Financial and health impact of two models of providing prostheses in a public health systemImpacto econômico e sanitário de dois modelos de fornecimento de próteses em um sistema público de saúde]

Objective

Compare the health outcomes and financial outcomes of two systems for the procurement of prostheses: the traditional system, in which procurement is initiated when a product is requested; and the "Prosthesis Bank" model, based on a current inventory of supplies.

Methods

Descriptive-analytical study of users of Ministry of Health services in the province of Buenos Aires, Argentina. The patients belonged to two study groups: 1) prostheses were provided through the traditional computerized system for hospital procurement and contracting, known as SIPACH; and 2) prostheses were provided by the Prosthesis Bank. The study was limited to endovascular prostheses (coronary stents) and hip prostheses. Official government databases were used. The study period was from 01/01/2018 to 31/10/2022. The variables analyzed were: age, sex, diagnosis, hospital, type of implant or prosthesis, date of request, date received, unit price, direct and indirect costs, average cost of daily hospitalization, cost-effectiveness, and budgetary impact.

Results

A total of 4 106 applications were analyzed. In the traditional system: 13.5% of patients did not get their prostheses; it took 50 days longer than with the Prosthesis Bank; and total costs were higher in SIPACH (coronary stent, +463%; hip prosthesis, +133%). The Prosthesis Bank saved USD 3.2 million annually and prevented 22 deaths through early provision of endovascular prostheses.

Conclusions

The Prosthesis Bank proved to be superior to the traditional model for providing prostheses, both in terms of health-by achieving better access, shortening waiting times, and avoiding deaths-and financially-by significantly reducing unit and overall prices, achieving significant savings in allocated budgets.

Indoor falls and number of previous falls are independent risk factors for long-term mortality after a hip fracture

BACKGROUND

Hip fractures are almost always the result of a fall. Causes and circumstances of falls may differ between frail and vigorous patients.

AIM

To describe the circumstances of falls causing hip fractures, number of falls during the previous year, and their association with long-term mortality.

PATIENTS AND METHODS

The study is a retrospective review conducted in a tertiary university hospital serving a population of 425,000 inhabitants in Barcelona. All patients admitted with hip fractures with medical records describing the circumstances and number of previous falls were included. The number of falls in the previous 12 months was recorded, including the one causing the fracture. The circumstances of the index fall were dichotomized according to whether it was from the patient's own height or above; day or night; indoors or outdoors, due to intrinsic or extrinsic causes. Cumulative mortality was recorded for almost 5 years after hip fracture.

RESULTS

Indoor falls were strongly associated with shorter survival. Falling more than once in the previous year was also a risk factor for long-term mortality (hazard ratio 1.461, p < 0.001 and hazard ratio 1.035, p = 0.008 respectively).

CONCLUSION

Indoor falls and falling more than once in the previous year are long-term risk factors for mortality after hip fractures. It is always essential to take a careful patient history on admission to determine the number of falls and their circumstances, and special care should be taken to reduce mortality in patients at high risk.

Clinical outcomes of non-COVID-19 orthopaedic patients admitted during the COVID-19 pandemic: a multi-centre interrupted time series analysis across hospitals in six different countries

OBJECTIVES

To assess across seven hospitals from six different countries the extent to which the COVID-19 pandemic affected the volumes of orthopaedic hospital admissions and patient outcomes for non-COVID-19 patients admitted for orthopaedic care.

DESIGN

A multi-centre interrupted time series (ITS) analysis.

SETTING

Seven hospitals from six countries who collaborated within the Global Health Data@Work collaborative.

PARTICIPANTS

Non-COVID-19 patients admitted for orthopaedic care during the pre-pandemic (January/2018-February/2020) and COVID-19 pandemic (March/2020-June/2021) period. Admissions were categorised as: (1) acute admissions (lower limb fractures/neck of femur fractures/pathological fractures/joint dislocations/upper limb fractures); (2) subacute admissions (bone cancer); (3) elective admissions (osteoarthritis).

OUTCOME MEASURES

Monthly observed versus expected ratios (O/E) were calculated for in-hospital mortality, long (upper-decile) length-of-stay and hospital readmissions, with expected rates calculated based on case-mix. An ITS design was used to estimate the change in level and/or trend of the monthly O/E ratio by comparing the COVID-19 pandemic with the pre-pandemic period.

RESULTS

69 221 (pre-pandemic) and 22 940 (COVID-19 pandemic) non-COVID-19 orthopaedic patient admissions were included. Admission volumes were reduced during the COVID-19 pandemic for all admission categories (range: 33%-45%), with more complex patients treated as shown by higher percentages of patients admitted with ≥1 comorbidity (53.8% versus 49.8%, p<0.001). The COVID-19 pandemic was not associated with significant changes in patient outcomes for most diagnostic groups. Only for patients diagnosed with pathological fractures (pre-pandemic n=1671 and pandemic n=749), the COVID-19 pandemic was significantly associated with an immediate mortality reduction (level change of -77.7%, 95% CI -127.9% to -25.7%) and for lower limb fracture patients (pre-pandemic n=9898 and pandemic n=3307) with a significantly reduced trend in readmissions (trend change of -6.3% per month, 95% CI -11.0% to -1.6%).

CONCLUSIONS

Acute, subacute, as well as elective orthopaedic hospital admissions volumes were reduced in all global participating hospitals during the COVID-19 pandemic, while overall patient outcomes for most admitted non-COVID-19 patients remained the same despite the strain caused by the surge of COVID-19 patients.

Postoperative complications of spinal vs general anesthesia in elderly patients undergoing hip hemiarthroplasty

INTRODUCTION

Elderly patients with hip fractures are at high risk for mortality due to postsurgical complications. Hip hemiarthroplasty is a routine procedure done in elderly patients for surgical repair  of femoral neck fractures. Both general and spinal anesthesia can be used in elderly patients undergoing hemiarthroplasty. Rates of postoperative complications among the two anesthetic choices have not been directly compared. In this study, we compare the rates of postoperative complications in elderly patients (age greater than 70) undergoing hip hemiarthroplasty for femoral neck fractures using a national database.

METHODS

Data for the years 2015-2020 from the National Surgical Quality Improvement Program (NSQIP) were used for the study. Patients greater than 70 years of age who received a hip hemiarthroplasty with general anesthesia or spinal anesthesia were identified using CPT procedure codes. Pertinent preoperative variables and rates of postoperative complications were characterized and analyzed.

RESULTS

Our study found that elderly patients who received spinal anesthesia had, on average, longer length of stays but shorter operative times compared to patients who received general anesthesia. Furthermore, we found that patients who received spinal anesthesia had lower rates of systemic sepsis, cardiac arrests, and blood transfusions when compared to patients who received general anesthesia. Finally, we found that overall rates of mortality were significantly lower in the spinal anesthesia cohort compared to the general anesthesia cohort.

CONCLUSION

Our work suggests that patients who underwent spinal anesthesia for hip arthroplasty may have lower rates of postoperative complications. This work further highlights the role of anesthetic choice in preventing complications following hip hemiarthroplasty procedures.

The Association Between Red Cell Distribution Width (RDW) and All-Cause Mortality in Elderly Patients with Hip Fractures: A Retrospective Cohort Study

Background

Red cell distribution width (RDW) may be related to the prognosis of hip fractures. The purpose of this study was to evaluate the association between (RDW) and all-cause mortality in elderly hip fractures.

Materials and Methods

Elderly patients aged ≥65 years who had a hip fracture were screened between January 1, 2015, and September 30, 2019. The age, gender of patients and other demographics, as well as history of allergy, injury mechanism, underlying illnesses at the time of admission, fracture classification, time from admission to operation, RDW, operation time, blood loss, infusion, transfusion, treatment strategy, and length in hospital stay and follow-up and other clinical characteristics were collected. Linear and nonlinear multivariate Cox regression models were used to identify the association between RDW and mortality in these patients. Analyses were performed using EmpowerStats and the R software.

Results

A total of 2587 patients were included in this retrospective cohort study. The mean follow-up period was 38.92 months. A total of 873 (33.75%) patients died due to all-cause mortality. The RDW was linearly associated with mortality in elderly patients with hip fractures. Linear multivariate Cox regression models showed that RDW was associated with mortality (hazard ratio [HR]=1.03, 95% confidence interval [CI]:1.02-1.05, P < 0.0001) after adjusting for confounding factors. The mortality risk increased by 3% when RDW increased by 1 fL.

Conclusion

RDW is associated with mortality in elderly patients with hip fractures, and RDW could be considered a predictor of mortality risk.

Registration

ChiCTR2200057323.

Timing of Complications Following Surgery for Distal Femur Fractures in Older Adults

Introduction

The purpose of this study was to identify the timing and nature of complications associated with distal femur fracture surgery in patients aged 65 and older using the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database.

Methods

The ACS NSQIP database was queried for adults aged 65 and older who received surgical treatment for a distal femur fracture between 01 January 2015 and 31 December 2021. Cox regression models and risk tables adjusted for baseline clinical characteristics were created for 14 complications (Superficial Surgical Site Infection (SSI), Deep SSI, Organ/Space SSI, Pneumonia, Pulmonary Embolism (PE), Deep Venous Thrombosis (DVT), Urinary Tract Infection (UTI), Stroke/Cerebrovascular accident (CVA), Myocardial Infarction (MI), Renal Failure, Cardiac Arrest (CA), Re-operation, Sepsis, and Death within 30 days of surgery). Model summaries were used to identify significant variables with a Bonferroni correction applied.

Results

A total of 3956 adults met inclusion criteria and were included in analysis. The most common complications were UTI (5.2%), death (4.1%), and pneumonia (3.4%). Complications typically occurred within 14 days after surgery, except for SSI, which occurred between post-op days 11 and 24.

Conclusions

Distal femur fractures are a substantial source of morbidity and mortality in the older adult population. Our findings underscore the need for comprehensive preoperative risk assessment and patient management strategies to mitigate the impact of identified risk factors in this vulnerable population.

The role of neutrophil percentage to albumin ratio in predicting 1-year mortality in elderly patients with hip fracture and external validation

Objectives

This study aimed to investigate the association between the neutrophil percentage to albumin ratio (NPAR) on the day of admission and mortality 1 year after surgery in elderly patients with hip fractures.

Methods

Clinical characteristics and blood markers of inflammation were retrospectively collected from October 2016 to January 2022 in elderly patients with hip fractures at two different regional tertiary medical centers. It is divided into a training set and an external validation set. Multivariate Nomogram models such as NPAR were constructed using the least absolute shrinkage and selection operator (LASSO) regression results and multi-factor logistic regression analysis. In addition, multivariate Cox regression analysis and Kaplan-Meier survival curves were used to explore the relationship between NPAR values and mortality within 1 year in elderly patients with hip fractures. The predictive performance of the Nomogram was evaluated using the concordance index (C Index) and receiver operating characteristic curve (ROC) and validated by Bootstrap, Hosmer-Lemesow goodness of fit test, calibration curve, decision curve, and clinical impact curve analysis.

Results

The study included data from 1179 (mean age, 80.34 ± 8.06 years; 61.4[52.1%] male) patients from the Guangzhou Red Cross Hospital affiliated with Jinan University and 476 (mean age, 81.18 ± 8.33 years; 233 [48.9%] male) patients from the Xiaogan Central Hospital affiliated with Wuhan University of Science and Technology. The results showed that NPAR has good sensitivity and specificity in assessing patients' prognosis 1 year after surgery. Multivariate logistic regression models based on influencing factors such as NPAR have good discrimination and calibration ability (AUC=0.942, 95% CI:0.927-0.955; Hosmer-Lemeshow test: P >0.05). Kaplan-Meier survival curves for the training and validation sets showed that patients in the high NPAR group had a higher mortality rate at 1 year compared to the low NPAR group (P< 0.001). Multivariate Cox regression showed that high NPAR values were an independent risk factor for death within 1 year in elderly hip fracture patients (P< 0.001, HR =2.38,95%CI:1.84-3.08).

Conclusion

Our study showed that NPAR levels were significantly higher in patients who died within 1 year after surgery in both the training and validation sets. NPAR has good clinical value in assessing 1-year postoperative prognosis in elderly patients with hip fractures.

Sex differences in clinical outcomes amongst 1105 patients admitted with hip fractures

Amongst hip fracture admissions, mortality is higher in men than in women. However, sex differences in other care-quality measures have not been well-documented. We aimed to examine sex differences in mortality as well as a wide range of underlying health indicators and clinical outcomes in adults ≥ 60 year of age admitted with hip fractures from their own homes to a single NHS hospital between April-2009 and June-2019. Sex differences in delirium, length of stay (LOS) and mortality in hospital, readmission, and discharge destination, were examined by logistic regression. There were 787 women and 318 men of similar mean age (± SD): 83.1 year (± 8.6) and 82.5 year (± 9.0), respectively (P = 0.269). There were no sex differences in history of dementia or diabetes, anticholinergic burden, pre-fracture physical function, American Society of Anesthesiologists grades, or surgical and medical management. Stroke and ischaemic heart disease, polypharmacy, and alcohol consumption were more common in men. After adjustment for these differences and age, men had greater risk of delirium (with or without cognitive impairment) within one day of surgery: OR = 1.75 (95%CI 1.14-2.68), LOS ≥ 3 weeks in hospital: OR = 1.52 (1.07-2.16), mortality in hospital: OR = 2.04 (1.14-3.64), and readmission once or more after 30 days of a discharge: OR = 1.53 (1.03-2.31). Men had a lower risk of a new discharge to residential/nursing care: OR = 0.46 (0.23-0.93). The present study revealed that, in addition to a greater risk of mortality than women, men also had many other adverse health outcomes. These findings, which have not been well-documented, serve to stimulate future targeted preventive strategies and research.

Development and validation of a novel nomogram of 1-year mortality in the elderly with hip fracture: a study of the MIMIC-III database

OBJECTIVE

Hip fracture is a prevalent condition with a significant death rate among the elderly. We sought to develop a nomogram-based survival prediction model for older patients with hip fracture.

DESIGN

A retrospective case-control study.

SETTING

The data from Medical Information Mart for Intensive Care III (MIMIC-III V.1.4).

PARTICIPANTS

The clinical features of elderly patients with hip fracture, including basic information, comorbidities, severity score, laboratory tests and therapy, were filtered out based on the MIMIC-III V.1.4.

METHODS AND MAIN OUTCOME MEASURES

All patients included in the study were from critical care and randomly divided into training and validation sets (7:3). On the basis of retrieved data, the least absolute shrinkage and selection operator (LASSO) regression and multiple logistic regression analysis were used to identify independent predictive variables of 1-year mortality, and then constructed a risk prediction nomogram. The predictive values of the nomogram model were evaluated by the concordance indexes (C-indexes), receiver operating characteristic curve, decision curve analysis (DCA) and calibration curve.

RESULTS

A total of 341 elderly patients with hip fracture were included in this study; 121 cases died within 1 year. After LASSO regression and multiple logistic regression analysis, a novel nomogram contained the predictive variables of age, weight, the proportion of lymphocyte count, liver disease, malignant tumour and congestive heart failure. The constructed model proved satisfactory discrimination with C-indexes of 0.738 (95% CI 0.674 to 0.802) in the training set and 0.713 (95% CI 0.608 to 0.819) in the validation set. The calibration curve shows a good degree of fitting between the predicted and observed probabilities and the DCA confirms the model's clinical practicability.

CONCLUSIONS

The novel prediction model provides personalised predictions for 1-year mortality in elderly patients with hip fractures. Compared with other hip fracture models, our nomogram is particularly suitable for predicting long-term mortality in critical patients.

The Application of Machine Learning in Predicting Mortality Risk in Patients With Severe Femoral Neck Fractures: Prediction Model Development Study

BACKGROUND

Femoral neck fracture (FNF) accounts for approximately 3.58% of all fractures in the entire body, exhibiting an increasing trend each year. According to a survey, in 1990, the total number of hip fractures in men and women worldwide was approximately 338,000 and 917,000, respectively. In China, FNFs account for 48.22% of hip fractures. Currently, many studies have been conducted on postdischarge mortality and mortality risk in patients with FNF. However, there have been no definitive studies on in-hospital mortality or its influencing factors in patients with severe FNF admitted to the intensive care unit.

OBJECTIVE

In this paper, 3 machine learning methods were used to construct a nosocomial death prediction model for patients admitted to intensive care units to assist clinicians in early clinical decision-making.

METHODS

A retrospective analysis was conducted using information of a patient with FNF from the Medical Information Mart for Intensive Care III. After balancing the data set using the Synthetic Minority Oversampling Technique algorithm, patients were randomly separated into a 70% training set and a 30% testing set for the development and validation, respectively, of the prediction model. Random forest, extreme gradient boosting, and backpropagation neural network prediction models were constructed with nosocomial death as the outcome. Model performance was assessed using the area under the receiver operating characteristic curve, accuracy, precision, sensitivity, and specificity. The predictive value of the models was verified in comparison to the traditional logistic model.

RESULTS

A total of 366 patients with FNFs were selected, including 48 cases (13.1%) of in-hospital death. Data from 636 patients were obtained by balancing the data set with the in-hospital death group to survival group as 1:1. The 3 machine learning models exhibited high predictive accuracy, and the area under the receiver operating characteristic curve of the random forest, extreme gradient boosting, and backpropagation neural network were 0.98, 0.97, and 0.95, respectively, all with higher predictive performance than the traditional logistic regression model. Ranking the importance of the feature variables, the top 10 feature variables that were meaningful for predicting the risk of in-hospital death of patients were the Simplified Acute Physiology Score II, lactate, creatinine, gender, vitamin D, calcium, creatine kinase, creatine kinase isoenzyme, white blood cell, and age.

CONCLUSIONS

Death risk assessment models constructed using machine learning have positive significance for predicting the in-hospital mortality of patients with severe disease and provide a valid basis for reducing in-hospital mortality and improving patient prognosis.

Would giving priority in surgery timing to the oldest patients result in lower mortality?

PURPOSE

Early hip fracture surgery in elderly patients is recognized as a positive prognostic factor. When applied as an intervention, it does not always reduce overall patient mortality. A plausible explanation for this is that not all patients equally benefit from early surgery. The purpose of the study is to investigate the effect of early surgery on mortality in patients ages 80 and older.

METHODS

This is a retrospective cohort of 3463 patients with hip fractures, operated upon within seven days of admission in a tertiary medical center between 2010 and 2018. Patients were divided into five groups: ages 80-84, 85-89, 90-94, 95-99, and 100 or above. Baseline characteristics were compared between groups. Mortality at one year post-operatively as a function of surgery delay was visualized for each group, using restricted spline curve analysis.

RESULTS

Patients with increasing age were operated on earlier, had increased co-morbidities with a higher ASA score and experienced higher mortality. Spline curve analysis in younger patients, ages 80 to 94, demonstrated an inflection point at 48 hours after admission, prior to which mortality was rising rapidly and after which it continued rising slowly. In the two oldest age cohorts, there was no increased mortality with an increasing surgical delay.

CONCLUSIONS

In patients ages 80-94 surgery on day one may be preferable to surgery on day two. In patients ages 95 and older, surgery time did not influence mortality. Pursuit of better patient outcomes may include prioritizing early surgery in younger patients.

Preoperative malnutrition as an independent risk factor for the postoperative mortality in elderly Chinese individuals undergoing hip surgery: a single-center observational study

Objective:

Malnutrition is prevalent in elderly with hip fracture and higher than in community-dwelling older adults. Scarce studies have examined the association between preoperative malnutrition and postoperative mortality in elderly Chinese individuals with hip fracture. This study was designed to explore the effect of preoperative malnutrition on the postoperative long-term mortality in elderly Chinese individuals undergoing hip surgery.

Methods:

As a single-center observational study, this study included 263 consecutive patients above 70 years old with hip fracture and elective surgery. Preoperative nutritional status was evaluated by prognostic nutritional index (PNI). Patients were divided into one group with malnutrition (26 patients with PNI ⩽ 38) and the other group without malnutrition (169 patients with PNI > 38), respectively.

Results:

The overall malnutrition rate was 13.3% (26 patients). The postoperative long-term mortality rates of patients with and without malnutrition had statistically significant difference [10 patients (38.5%) and 32 patients (18.9%), p < 0.05]. Cox regression analysis showed that malnutrition (hazard ratio: 0.269, 95% confidence interval: 0.085–0.859, p < 0.05) and partial pressure of carbon dioxide (hazard ratio: 0.873, 95% confidence interval: 0.790–0.964, p < 0.05) were independent risk factors for the postoperative long-term mortality.

Conclusion:

This study demonstrated that preoperative malnutrition was an independent risk factor for the postoperative long-term mortality and resulted in a more than 2.5-fold increase of the postoperative long-term mortality in elderly Chinese individuals undergoing hip surgery.

Should the early surgery threshold be moved to 72 h in over-85 patients with hip fracture? A single-center retrospective evaluation on 941 patients

AIM

Aim of the study was to assess whether early surgery and other clinical and orthogeriatric parameters could affect mortality rate in hip fracture patients aged > 85.

MATERIALS AND METHODS

Data regarding a 42-month period were retrospectively obtained from the institutional medical records and registry data. Gender, age, fracture pattern, surgical technique, type of anesthesia, timing of surgical intervention (within 24, 48 or 72 h from admission), days of hospitalization, mortality rate divided in intra-hospital, at 30 days and at 1 year were collected for the whole population. Some additional data were collected for an orthogeriatric subgroup.

RESULTS

941 patients were considered, with a mean age of 89 years. Surgery was performed within 24, 48 and 72 h in 24.4%, 54.5% and 66.1% of cases, respectively. Intra-hospital mortality rate resulted to be 3.4%, while mortality at 30 days and 1 year resulted to be 4.5% and 31%, respectively. Early surgery within 48 and 72 h were significantly associated with a lower intra-hospital and 30-day mortality rate. In the orthogeriatric subgroup (394 patients), a significant association with a higher mortality rate was found for general anesthesia, number of comorbidities, ADL (Activities of Daily Living) < 3, transfer to other departments.

CONCLUSIONS

In over-85 hip fracture patients, the threshold for early surgery might be moved to 72 h to allow patients pre-operative stabilization and medical optimization as intra-hospital and 30-day mortality rates remain significantly lower. Advanced age, male sex, number of comorbidities, pre-operative dependency in ADL, general anesthesia, length of hospitalization and transfer to other departments were significantly related to mortality rate.

The effects of dementia on the prognosis and mortality of hip fracture surgery: a systematic review and meta-analysis

OBJECTIVES

Dementia is a common mental disorder that affects the life quality in elders. Recently, emerging studies reported the negative impacts of dementia on prognosis after hip surgeries. However, the integrated and reliable role of dementia in hip surgery is not illustrated.

METHODS

We searched the relevant literatures before June 2020 and extracted the data that met the inclusion criteria. The influence of dementia on postoperative walking ability, complications including infection, cardiovascular complications, hip dislocation, delirium, and respiratory complications, and survival rate at different periods were evaluated. Qualitative and quantitative analysis were conducted using Review Manager Version 5.3.

RESULTS

The meta-analysis enrolled a total of 30 studies with 1,037,049 patients. The pooled results revealed that there were significant negative impacts of dementia on the recovery of postoperative walking ability, postoperative infection, hip dislocation, delirium and respiratory complications and mortality at different periods.

CONCLUSIONS

Dementia is a crucial risk factor for the poor prognosis after hip fracture surgery. Therefore, when making clinical strategies for hip fracture patients with dementia, countermeasures for possible complications should be generated.

Predictive Value of Blood Parameters and Comorbidities on Three-Month Mortality in Elderly Patients With Hip Fracture

Background Knowing the factors that increase the risk of death in patients with hip fractures will help us to take precautions and intervene when necessary in the pre- and postoperative periods. Therefore, it is important to have inexpensive and practical biomarkers that can predict postoperative complications and mortality. The present study aimed to identify the factors that contribute to early mortality in elderly patients with hip fractures in the first three months after trauma, as well as the parameters that may be determinants of mortality. Methods The data of 1,015 patients over 65 years of age with femoral neck and intertrochanteric fractures admitted between January 2009 and January 2020 were retrospectively reviewed. A total of 763 patients who met the inclusion criteria were included in the study. Our study was designed to include 110 (14.4%) patients in Group 1 who were determined to have died within three months after the diagnosis of hip fracture and 653 (85.6%) patients in Group 2 who were determined not to have died within one year after the trauma. Age, gender, comorbid diseases, American Society of Anesthesiologists (ASA) score, type of anesthesia, operation time, type of implant used, time until surgery, and some biochemical blood values were compared between the two groups. Our data were analyzed statistically using the IBM Statistical Product and Service Solutions (SPSS) software for Windows, v. 25.0 (IBM SPSS Statistics for Windows, Armonk, NY). Results Of all of the patients, 370 (48.5%) were female and 393 (51.5%) were male. The patients who survived had an average age of 76.08, while the patients who died had an average age of 80.57. The mean age among the groups is significantly higher in patients who died. High creatinine, alanine aminotransferase (ALT), lactate dehydrogenase (LDH), and low albumin values were found to be associated with mortality. Conclusion It has been determined that advanced age, delayed operation time, high ASA score, and the number of comorbid diseases are associated with mortality in elderly patients with hip fractures, and biomarkers, such as creatinine, ALT, and LDH, can be used as markers for early mortality. With the increase of studies of similar nature, it will be possible to calculate a systematic risk map for mortality in elderly patients with a proximal femur fracture.

Age and clinical outcomes after hip fracture surgery: do octogenarian, nonagenarian and centenarian classifications matter?

BACKGROUND

older patients with hip fractures are arbitrarily classified as octogenarians, nonagenarians and centenarians. We have designed this study to quantify in-hospital mortality and complications among each of these groups. We hypothesised that the associations between age and in-hospital mortality and complications are continuously increasing, and that these risks increase rapidly when patients reach a certain age.

METHODS

this research is a retrospective cohort study using nationwide database between 2010 and 2018. Patients undergoing hip fracture surgery, and aged 60 or older, were included. The associations between patient age, in-hospital mortality and complications were visualised using the restricted cubic spline models, and were analysed employing multivariable regression models. Then, octogenarians, nonagenarians and centenarians were compared.

RESULTS

among a total of 565,950 patients, 48.7% (n = 275,775) were octogenarians, 23.0% (n = 129,937) were nonagenarians and 0.7% (n = 4,093) were centenarians. The models presented three types of association between age, in-hospital mortality and complications: (i) a continuous increase (mortality and respiratory complications); (ii) a mild increase followed by a steep rise (intensive care unit admission, heart failure, renal failure and surgical site hematoma) and (iii) a steep increase followed by a limited change (coronary heart disease, stroke and pulmonary embolisms).

CONCLUSION

we identified three types of association between age and clinical outcomes. Patients aged 85-90 may constitute the upper threshold for age categorisations, because the risk of in-hospital complications changed dramatically at that stage. This information can improve clinical awareness of various complications and support collective decision-making.

Predictors of In-Hospital Mortality in Older Adults Undergoing Hip Fracture Surgery: A Case-Control Study

Introduction: Although surgery has been proven to improve the long-term survival of older adults with hip fracture, in-hospital mortality directly resulting from repair of hip fracture is undesirable. This study aimed to identify potential prognostic factors that predict in-hospital mortality risk in elderly patients following hip fracture surgery. Materials and Methods: This case–control study comprehensively collected data from older adults with hip fracture admitted to a single medical centre. Age was selected as the cross-matching factor. Univariate and binary multivariate logistic regression models were used to estimate the odds ratios with 95% confidence intervals. A receiver operating characteristic curve was constructed to quantify the discrimination power of the model. Results: Among a total of 841 older adults who received hip fracture surgery, 17 died during hospitalisation, yielding a 2.0% in-hospital mortality rate. Using a binary multivariate logistic regression model to perform a comparison with 51 age-matched patients in survival groups, the model revealed that estimated glomerular filtration rate (eGFR) and malignant cancer history were the only 2 factors significantly correlated with in-hospital mortality. The prognostic values for the eGFR and malignant cancer history were acceptable, with areas under the curve of .76 and .67, respectively. Conclusion: The prevalence of in-hospital mortality following hip fracture is low. After adjustment for age, eGFR and malignant cancer history were identified as factors significantly correlated with in-hospital mortality. The findings of this study could assist in the early screening and detection of patients with high in-hospital mortality risks.

Causes of death among 93.637 hip fracture patients- data based on the Danish National Registry of causes of death

PURPOSE

Excess mortality among hip fracture patients is well documented. Less is known, however, about the causes of death in this group of patients, although existing literature suggests that bronchopneumonia and cardiovascular diseases constitute the leading causes of death. In this study, we investigated the causes of death in Danish hip fracture patients, who died within 30-days after sustaining a hip fracture, with a focus on differences in causes of death between men and women and between different age groups. Furthermore, the frequency of potentially preventable causes of death such as pneumonia, urinary tract infections and thromboembolic events was examined.

METHODS

All Danish patients aged 18 or more suffering from a hip fracture in the period 2002-2012 were examined for inclusion into the study. Data were collected from the Danish National Patient registry. The last month of 2012 being December was left out since we were looking at 30-days mortality. Logistic regression analysis was used to test the association between 30-day mortality with each of the causes of death adjusted for age, sex and CCI in multivariable models with results presented as odds ratios (OR) with 95% confidence intervals.

RESULTS

During this period, 93,637 patients sustained a hip fracture. Of these, 9504 patients died within 30-days and were included in the study. For patients dead within 30-days after sustaining a hip fracture, the two leading medical causes of death were cardiovascular disease (21.1%) and pneumonia (10.5%) when looking at both genders. A frequent cause of death especially in the younger age group of women less than 50 years old were infections (other than pneumonia) (18.2%) especially urinary tract infections. Pulmonary embolism accounted for 3.9% of causes of deaths in hip fracture patients.

CONCLUSION

In this study, cardiovascular disease and pneumonia were overall the leading medical causes of death in patients dead within 30-days after sustaining a hip fracture. Apart from pneumonia, another potentially preventable infection in younger female hip fracture patients was urinary tract infections. Pulmonary embolism, another potentially preventable cause of death might be underreported in Danish death certificates.

Oropharyngeal dysphagia in older patients with hip fracture

BACKGROUND

oropharyngeal dysphagia (OD) and hip fracture are common problems in older patients, both associated with important complications.

OBJECTIVE

the aim of this study was to measure the prevalence and identify the main risk factors of dysphagia in older patients with hip fracture.

DESIGN

a prospective study in an orthogeriatric unit of a university hospital over 10 months.

METHODS

a total of 320 patients (mean age 86.2 years, 73.4% women) were assessed for dysphagia within 72 hours post-surgery using the Volume-Viscosity Swallow Test. Geriatric assessment, hip fracture management and complications were examined to determine their relationship with the presence of OD.

RESULTS

dysphagia was present in 176 (55%) patients. Multivariate logistic regression analysis showed that the presence of delirium during hospitalization and the inability to perform instrumental activities of daily living before admission were associated with OD.

CONCLUSIONS

the prevalence of OD is high in hip fracture patients. Objective dysphagia assessment should be routinely included as part of the geriatric assessment of such patients.

Predicting in-hospital mortality for dementia patients after hip fracture surgery - A comparison between the Charlson Comorbidity Index (CCI) and the Elixhauser Comorbidity Index

BACKGROUND

Considerable in-hospital mortality was reported in geriatric patients with dementia sustaining femoral neck or inter-trochanteric fracture. We intended to establish a predictive model of in-hospital mortality for dementia patients after hip fracture surgery.

METHODS

We collected 8080 registrants ≧ 65 years old from the subset (LHID2000) of the National Health Insurance Research Database (NHIRD) that met the following inclusion criteria:1. Admitted with the ICD of hip fracture; 2. Underwent operation of hip fracture during the same hospitalization; 3. Co-existing diagnosis of dementia (ICD-9-CM codes 290). The co-morbidity was recorded according to validated Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Index (ECI) from the diagnoses of hospitalization. The main outcome measure was in-hospital mortality that was defined as death being reported during hospitalization. The comparison of predictability was conducted by Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC) among different predictive models.

RESULTS

The Charlson Comorbidity Index (CCI) score and Elixhauser Comorbidity Index (ECI) score showed similar ability in predicting in-hospital mortality (AUC = 0.653, 95% CI = 0.611-0.695 for CCI; AUC = 0.624, 95% CI = 0.582-0.665 for ECI, p = 0.0717). By adding age grouping (≥80 yrs = 1, 65-80 yrs = 0) and gender difference (Male = 1, Female = 0), these two models were shifted to models CCI_new1 and ECI_new1. Consequently, the AUC greatly increased in the CCI_new1 (AUC = 0.682, 95% CI = 0.643-0.722). It therefore provided better prediction of in-hospital mortality than ECI_new1 (AUC = 0.651, 95% CI = 0.611-0.691) (p = 0.0444).

CONCLUSIONS

Utilizing the CCI with addition of grouping for age and gender provides a better prediction for in-hospital mortality than the ECI among elderly patients with concomitant dementia and hip fracture who underwent surgical intervention.

Mortality rates and risk factors after low-trauma hip fracture in the largest university center in Romania

We calculated in-hospital, 30-day, and 1-year mortality rates and analyzed potential mortality risk factors in 2742 patients with low-trauma hip fractures. We found a high mortality rate at 30 days and 1 year after hip fracture. The high mortality can be explained by a very high number of conservatively treated fractures.

PURPOSE

Data on mortality after low-trauma hip fracture in Romania is scarce and comes from a single-hospital study. Our aim was to calculate mortality rates and risk factors in all patients admitted for low-trauma hip fracture in the largest university medical center of Romania.

METHODS

We retrospectively analyzed the charts of all patients (>40 years old) admitted for hip fracture in a 12-month period in hospitals with an Orthopedic Department in Bucharest, Romania, and surrounding Ilfov County and calculated the crude in-hospital, 30-day, and 1-year mortality rates after low-trauma hip fractures. A number of potential clinical risk factors for mortality were evaluated.

RESULTS

We analyzed 2742 low-trauma hip fractures. The in-hospital, 30-day, and 1-year all-cause mortality rates were 4.26% (n=117), 9.59% (n=263), and 29.72% (n=815) respectively. Four hundred and fifty (16.41%) fractures were managed conservatively with a 1-year mortality HR of 3.05 (p<0.001) compared to surgically treated fractures. The 1-year mortality rate in conservatively treated fractures was 56.44% compared to 24.47% in surgically treated fractures. Age, male sex, length of stay in hospital, day of surgery, post-surgical complications, and late surgery were significantly associated (p<0.001) with mortality after hip fracture. The lowest 1-year mortality rate was in surgically treated patients with a length of stay in hospital between 6 and 10 days.

CONCLUSION

We found a high mortality rate at 30 days and 1 year after low-trauma hip fracture. The high mortality rates can be attributable, in part, to the high number of conservatively treated fractures.

Seasonality of mortality and in-hospital complications in hip fracture surgery: Retrospective cohort research using a nationwide inpatient database

AIM

Among older patients undergoing hip fracture surgery, previous studies have shown a seasonal variation of in-hospital surgical complications. However, little is known about seasonal effects on mortality and systemic complications after hip fracture surgery. In the present study, we evaluated whether mortality and in-hospital systemic complications are influenced by seasonal differences.

METHODS

We enrolled patients from a nationwide database who underwent hip fracture surgery between 2010 and 2018. The primary outcome was in-hospital mortality. The secondary outcomes were in-hospital systemic complications. The association between the seasonality and in-hospital outcomes was investigated using multivariable Cox, logistic regression and causal mediation analysis.

RESULTS

With 425 856 patients (mean age 83.5 years; 79% women), overall in-hospital mortality was 5324 (1.2%). Fall and winter were associated with a higher mortality than spring (hazard ratio [HR] 1.16; P < 0.001; HR 1.14; P = 0.001, respectively). Across all the seasons, there were 36 834 overall systemic complications (8.6%), with respiratory infection being the most frequent (18 637 [4.4%]). Among these complications, only respiratory infection showed seasonal variation, with a higher prevalence in fall and winter. The mediated effect of respiratory infection on mortality was significantly higher in fall and winter compared with spring (fall, HR 1.06, proportion mediated 36.7%; winter, HR 1.14, proportion mediated 55.0%; all P < 0.001).

CONCLUSIONS

We found a significantly higher mortality in fall and winter after hip fracture surgery. Specifically, in winter, the increased in-hospital death was largely attributed to the increased incidence of respiratory infection. Geriatr Gerontol Int 2021; 21: 398-403.

Hip fracture patients admitted to hospital on weekends are not at increased risk of 30-day mortality as compared with weekdays

Background

Hip fractures remain a major health concern owing to the increasing elderly population and their association with significant morbidity and mortality. The effects of weekend admission on mortality have been studied since the late 1970s. Despite most studies showing that mortality rates are higher for patients admitted on a weekend, the characteristics of the admitted patients have remained unclear. We aim to investigate this ‘weekend effect’ at our hospital in patients presenting with a hip fracture.

Methods

Patients undergoing acute hip fracture surgery were identified from the local National Hip Fracture Database. Patient demographics, fracture type, co-morbidities and admission blood parameters were examined. The outcome analysed was 30-day mortality. The data were analysed with regard to day of admission, i.e. weekday (Monday to Friday) or weekend (Saturday and Sunday).

Results

A total of 894 patients were included. Results demonstrated that 30-day mortality was similar on the weekend compared with the weekday (6.96% versus 10.39%, OR 0.65, 95% CI 0.36–1.14, p = 0.128) for patients who sustained an acute hip fracture. The total number of deaths within 30 days was 85 (69 weekday versus 16 weekend). This remained non-significant after adjusting for several variables: age and sex only (OR = 0.65, 95% CI 0.37–1.16, p = 0.146), age, sex, and care variables (OR = 0.59, 95% CI 0.33–1.06, p = 0.080), age, sex, and blood test results (OR = 0.62, 95% CI 0.35–1.12, p = 0.111), and all covariates (OR = 0.69, 95% CI 0.29–1.62, p = 0.392). In the fully adjusted model, the following variables were independent predictors of mortality: sex (male) (OR = 1.93, 95% CI 1.11–3.35, p = 0.019) and ASA > 2 (OR = 2.6, 95% CI 1.11–6.11, p = 0.028) and age (1.08, 95% CI 1.04–1.13, p < 0.001).

Conclusion

The evidence for a ‘weekend effect’ in patients with a hip fracture is absent in this study. However, we have shown other factors that are associated with increased mortality such as increased age, male sex and higher ASA grade.

Level of evidence

Level 3.

Impact of Bone Fracture on Muscle Strength and Physical Performance-Narrative Review

PURPOSE OF REVIEW

Low muscle strength and poor physical performance are associated with high risk of fracture. Many studies assessed clinical and functional outcomes of fractures. Fewer studies analyzed the impact of fractures on muscle strength and physical performance.

RECENT FINDINGS

Vertebral fractures (especially multiple and severe ones) are associated with back pain, back-related disability, lower grip strength, lower strength of lower limbs, lower gait speed, and poor balance. Patients with hip fracture have slower gait and lower quadriceps strength. Non-vertebral fractures were associated with lower strength of the muscles adjacent to the fracture site (e.g., grip strength in the case of distal radius fracture, knee extensors in the case of patellar fracture) and poor physical function dependent on the muscles adjacent to the fracture site (e.g., limited range of motion of the shoulder in the case of humerus fracture, gait disturbances in the case of the ankle fracture). Individuals with a fracture experience a substantial deterioration of muscle strength and physical performance which exceeds that related to aging and is focused on the period close to the fracture occurrence. After fracture, muscle strength increased and physical performance improved. The rate of normalization depended partly on the therapeutic approach and on the rehabilitation program. A subgroup of patients, mainly the elderly, never returns to the pre-fracture level of physical performance. The permanent decline of physical function after fracture may be related to the limitation of movements due to pain, low physical activity, poor health before the fracture, and reduced efficacy of retraining after immobilization.

Bone Fracture Enhanced Blood-Brain Barrier Breakdown in the Hippocampus and White Matter Damage of Stroke Mice

Background: Tibia fracture (BF) before stroke shortly causes long-term post-stroke memory dysfunction in mice. The mechanism is unclear. We hypothesize that BF enhances neuroinflammation and blood brain barrier (BBB) breakdown in the hippocampus and white matter (WM) damage. Methods: Mice were assigned to groups: BF, stroke, BF+stroke (BF 6 h before stroke) and sham. BBB integrity was analyzed 3 days after the surgeries and WM injury was analyzed 3 days and 8 weeks after the surgeries. Results: Stroke and BF+stroke groups had more activated microglia/macrophages and lower levels of claudin-5 in the ipsilateral hippocampi than the BF group. BF+stroke group had the highest number microglia/macrophages and the lowest level of claudin-5 among all groups and had fewer pericytes than BF group. Stroke and BF+stroke groups had smaller WM areas in the ipsilateral basal ganglia than the sham group 8 weeks after the injuries. The BF+stroke group also had smaller WM areas in the ipsilateral than sham and BF groups 3 days after the injuries and in the contralateral basal ganglia than stroke and BF groups 8 weeks after the injuries. Conclusions: BF exacerbates neuroinflammation and BBB leakage in the hippocampus and WM damage in basal ganglia, which could contribute to the long-lasting memory dysfunction in BF+stroke mice.

Diagnosis of overweight or obese malnutrition spells DOOM for hip fracture patients: A prospective audit

BACKGROUND/AIMS

Crude diagnostic parameters such as BMI limit recognition of malnutrition in overweight and obese patients. This study applied a robust malnutrition diagnostic measure to investigate whether malnutrition impacts clinical outcomes in overweight or obese hip fracture inpatients.

METHODS

A prospective, consecutive 12-month audit of inpatients admitted to a dedicated hip fracture unit with a BMI of ≥25 for surgical intervention. Univariate and logistic regression analyses were performed to investigate the relationship of demographics (age, gender), comparative measures (type of fracture, Charlson Comorbidity Index (CCI) on admission, time to surgery, type of surgery and anaesthesia, nutrition status) and outcome measures (delirium, time to mobilise post-operatively, length of stay, 12-month mortality). Malnutrition was defined using the International Classification of Diseases, Tenth Revision - Australian Modification protein-energy malnutrition criteria.

RESULTS

127 overweight or obese hip fracture patients for surgical intervention were included in analyses. Patients were predominantly older females (median 81.0, range 48-97 years; 66.9%). Malnutrition prevalence was not infrequent (18.3%) despite the median BMI of 28.3 (range 25.0-63.9). Mortality at 12-months (17.3%) was lower than routinely reported across broader hip fracture populations. Logistic regression modelling demonstrated that malnutrition increased the likelihood of 12-month mortality (OR: 4.47, 95% CI 1.27-15.77; p = 0.020), post-operative delirium (OR: 3.64, 95% CI 1.00 to 13.33; p = 0.051), and delayed post-operative mobility (OR: 3.29, 95% CI 1.05 to 10.31; p = 0.041), in overweight or obese hip fracture patients. Length of stay demonstrated poor association with all predictor measures.

CONCLUSION

Hip fracture patients who are both overweight or obese, and malnourished, have significantly and substantially worse clinical outcomes than their well-nourished, albeit overweight or obese, counterparts. Comprehensive nutrition assessment measures should be applied to all hip fracture inpatients to ensure appropriate clinical nutrition care is appropriately directed.

Bone in heart failure

There is an increasing interest in osteoporosis and reduced bone mineral density affecting not only post-menopausal women but also men, particularly with coexisting chronic diseases. Bone status in patients with stable chronic heart failure (HF) has been rarely studied so far. HF and osteoporosis are highly prevalent aging-related syndromes that exact a huge impact on society. Both disorders are common causes of loss of function and independence, and of prolonged hospitalizations, presenting a heavy burden on the health care system. The most devastating complication of osteoporosis is hip fracture, which is associated with high mortality risk and among those who survive, leads to a loss of function and independence often necessitating admission to long-term care. Current HF guidelines do not suggest screening methods or patient education in terms of osteoporosis or osteoporotic fracture. This review may serve as a solid base to discuss the need for bone health evaluation in HF patients.

Hip fracture mortality: Predictive models

The preoperative estimation of the risk of mortality after a hip fracture is very useful to plan time of surgery and perioperative care, inform patients and families about the prognosis and allows comparisons between different units. Different models have been developed to stratify mortality risk, but they show heterogeneity in terms of type of population and variables included, monitoring the time and statistical methods used, which makes it difficult to establish comparisons between them. The vast majority of them are awaiting external validation in populations different from those in which they were originally proposed. So far, the Nottingham Hip Fracture Score (NHFS) and the Orthopaedic Physiological and Operative Severity Score for the enUmeration of Mortality and Morbidity (O-POSSUM) are the most commonly used models. The NHFS is simpler and faster to apply, and by not including intraoperative variables can be used at the time of admission.

The influence of time-to-surgery on mortality after a hip fracture

BACKGROUND

The effect of time-to-surgery on mortality in acute hip fracture (AHF) patients has been debated and studies are inconsistent regarding from what time limit mortality starts to increase. At Sahlgrenska University Hospital/Mölndal, surgery is recommended within 24 hours leaving little time for pre-operative optimization. However, internationally the definition of early surgery varies between 24 and 48 hours and over. This retrospective study was initiated to investigate the relation between time-to-surgery and 30-day mortality.

METHOD

Data of AHF patients from January 2007 through December 2016 were collected. The variables analysed were: age, gender, American Society of Anesthesiologists physical status classification, surgical method (prosthesis or osteosynthesis) and time-to-surgery, along with 30-day mortality. Primary outcome was 30-day mortality related to time-to-surgery divided into groups. Secondary outcome was 30-day mortality related to time-to-surgery analysed hour-by-hour.

RESULTS

From 10,844 eligible patients, 9,270 patients were included into the study. Mean time-to-surgery was 19.4 hours and overall 30-day mortality was 7.6%. Adjusted Cox regression analysis revealed an increased mortality rate in patients with time-to-surgery >48 hours. In the hour-by-hour analysis, significant mortality increase was observed at 39 hours of time-to-surgery. Patients with time-to-surgery >24 hours did not have increased mortality compared to patients with time-to-surgery <24 hours.

CONCLUSION

In AHF patients, a time-to-surgery exceeding 39-48 hours was associated with increased mortality. Patients with surgeries performed before 39-48 hours did not have increased mortality and this time may, in some patients, be used for optimization prior surgery even if time-to-surgery exceeds 24 hours.

Predictors of poor functional outcomes and mortality in patients with hip fracture: a systematic review

Background

Hip fracture is an important and prevalent medical condition associated with adverse outcomes. The aim of this article is to systematically review and summarise the predictors of poor functional outcomes and mortality for patients with hip fractures.

Methods

We conducted a systemic literature search using PubMed, EMBASE and Cochrane Library. We included English peer-reviewed cohort studies that examined predictors of poor functional outcomes (such as independence in Activities of Daily Living) and mortality for patients with hip fracture published in the past 15 years (from 1 Jan 2004 up to 30 May 2019). Two independent researchers evaluated the articles for eligibility. Consensus on the eligibility was sought and a third researcher was involved if there was disagreement. A standardised form was used to extract relevant data. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of the included studies.

Results

We retrieved 4339 and included 81 articles. We identified two emerging predictors of poor functional outcomes and mortality for patients with hip fractures: low hand grip strength and frailty in line with an emerging concept of “physical performance”. The predictors identified in this systematic review can be grouped into 1) medical factors, such as presence of co-morbidities, high American Society of Anesthesiologists (ASA) grade, sarcopenia, 2) surgical factors including delay in operation (e.g. > 48 h), type of fracture s, 3) socio-economic factors which include age, gender, ethnicity, and 4) system factors including lower case-volume centers.

Conclusions

This systematic review identified multiple significant predictors of poor functional outcomes and mortality, with the hand grip strength and frailty being important emerging predictors in the most recent literature. These predictors would further inform healthcare providers of their patients’ health status and allow for early intervention for modifiable predictors.

Understanding the role of social factors in recovery after hip fractures: A structured scoping review

Poor recovery among older adults with hip fractures can occur despite successful surgical repair and rehabilitation, suggesting other factors might play a role in recovery, such as social factors. The aim of this scoping review was to provide an overview of the literature on the role of social factors in older adult's recovery after hip fracture. This review followed the York Framework and its modifications and recent reporting guidelines. Two independent researchers searched main medical databases (CINAHL, EMBASE, Medline, PsycINFO and the Cochrane libraries) from inception to June 2017, for studies investigating social factors and recovery post hip fracture. Studies were excluded if they were qualitative, perspective papers or if participants were < 65 years or they were not living in the community. We screened 2,503 unique abstracts in total and 19 studies fulfilled the inclusion criteria. Social factors investigated in the included studies were social support, socioeconomic factors and living arrangement. We classified outcomes in the studies into three subgroups: physical functional recovery, mortality and other outcomes (pain, hospital length of stay and quality of life). We found evidence that social support and socioeconomic factors (e.g. socioeconomic status) were significantly associated with an increase in functional recovery, a decrease in mortality and other outcomes, but conflicting evidence was found for the effect of one's living arrangement. Only two included studies were randomised controlled trials. To conclude, social factors, such as social support and socioeconomic status, affect physical functional recovery and mortality in older adults with hip fractures. However, this is an under researched area that lacks rigorously designed studies and would benefit from more studies with rigorous designs.

Patient and Perioperative Factors Influencing the Functional Outcomes and Mortality in Elderly Hip Fractures

This study aimed to evaluate the functional outcomes and mortality following hip fracture surgery in elderly patients, and to identify the associated risk factors. Between January 2016 and December 2017, 480 consecutive patients were finally included for data analyses. The Harris score and Barthel index were used to evaluate the hip function and ability to perform activities of daily living (ADL). Univariate and multivariate logistics regression analyses were performed to determine the independent risk factors for mortality, poor hip function or poor ability to perform ADL. The mortality rate was 15.6% (75/480). In the survivors, poor outcome developed in 133 (32.8%) patients and poor ADL was in 72 (17.8%) patients. The independent factors that influenced mortality were advanced age (p = 0.033), male gender (0.031), living in rural area (p < 0.001), self-reported diabetes (p = 0.005), tumor (p = 0.024), preoperative delay >7 days (p = 0.020), postoperative drainage use (p = 0.034), WBC > 10 × 10⁹/L (p = 0.005), reduced RBC (p = 0.011), PLT < 100 × 10⁹/L (p < 0.001), ALB < 35 g/L (p < 0.001) and CK > 200 U/L (p = 0.003). The independent factors that influenced the hip function were male gender (p = 0.009), WBC > 10 × 10⁹/L (p < 0.001), lower HBG (p = 0.005), and ALB < 35 g/L (p < 0.001). The independent factors that influenced the ability to perform ADL were diagnosis of trochanteric fracture (p = 0.048), preoperative delay > 7 days (p = 0.027), postoperative drainage use (p = 0.010), elevated WBC (p = 0.020), lower HGB (p < 0.001), PLT < 100 × 10⁹/L (p = 0.002), and ALB < 35 g/L (p < 0.001). Although most of risk factors were not modifiable, they aid in patient individual risk evaluation, risk stratification, and counseling patients or relatives.

In-Hospital Mortality following Proximal Femur Fractures in Elderly Population

Context  In India, hip fracture crude incidence above the age of 50 years was 129 per 100,000.

Aims  The aim of this study is to analyze the in-hospital mortality following proximal femur fractures in elderly Indian population.

Methods and Material  The study was done in Sri Ramachandra Medical Center, Chennai, India. Patient's records were retrospectively evaluated for a period of 3 years from January 1, 2015 to January 1, 2018. The inclusion criteria were patients both male and female aged more than 65 years admitted with the diagnosis of neck of femur or intertrochanteric or subtrochanteric fractures. The exclusion criteria were patients having any associated fracture or previous hip fracture history or diagnosed primary or secondary malignancies. To evaluate any surgical delay two groups were formed. After eliminating cases based on exclusion criteria, we had 270 patients for evaluation.

Statistical Analysis Used  The collected data were analyzed with IBM.SPSS statistics software 23.0 Version. To describe about the data descriptive statistics frequency analysis, percentage analysis were used for categorical variables and the mean and standard deviation (SD) were used for continuous variables. To find the significant difference between the bivariate samples, Student's t -test and analysis of variance (ANOVA) were used. The p -value of 0.05 is considered as significant level.

Results  We had a total of 24 mortalities with 15 males and 9 females. The in-hospital mortality of patients who underwent replacement surgeries for proximal femur fractures was 14 in our study. Sixteen of the in-hospital mortality patients had low Parker's mobility score. Twenty patients had mortality when surgery was delayed more than 48 hours.

Conclusions  In-hospital mortality in elderly patients having proximal femur fracture increases significantly if the patient was having low-preoperative mobility status, if surgery was delayed more than 48 hours, and if patient undergoes replacement surgeries.

Association between dementia and mortality in the elderly patients undergoing hip fracture surgery: a meta-analysis

Objective

This study was designed to verify the association between dementia and mortality in the elderly undergoing hip fracture surgery, and assessed the mortality of patients with dementia after hip fracture surgery.

Material and methods

PubMed, Embase, and Web of Science were searched until April, 2018 without language restrictions. Two reviewers selected related studies, assessed study quality, and extracted data independently. Risk ratios (RRs) with 95% confidence intervals (CI) were derived using random-effects model throughout all analyses. The endpoints included 30-day, 6-month, 1-year, and more than 1-year mortality. This meta-analysis was performed following PRISMA statement and carried out by using stata14.0 software.

Results

Dementia significantly increased postoperative mortality of patients suffered from hip fracture in 30-day [RR = 1.57, 95% CI (1.29, 1.90), P<0.00], 6-month [RR = 1.97, 95% CI (1.47, 2.63), P<0.00], 1-year [RR = 1.77, 95% CI (1.54, 2.04), P<0.00], and more than 1-year follow up [RR = 1.60, 95% CI (1.30, 1.96), P<0.00] respectively. The mortality of dementia patients after hip fracture surgery in 30-day [ES = 12%, 95% CI (8%, 15%)], 6-month [ES = 32%, 95% CI (17%, 48%)], 1-year [ES = 39%, 95% CI (35%, 43%)], and more than 1-year follow up [ES = 45%, 95% CI (32%, 58%)].

Conclusions

Our meta-analysis demonstrated that the mortality of patients with dementia suffered from hip fracture surgery is 12%, 32%, 39%, and 45%, and dementia increased 1.57, 1.97, 1.77, and 1.60-fold mortality in patients undergoing hip fracture surgery in 30-day, 6-month, 1-year, and more than 1-year follow up respectively.

The added value of health indicators to mortality predictions in old age: A systematic review

BACKGROUND

Numerous risk prediction models use indicators of health to predict mortality in old age. The added value to mortality predictions based on demographic variables is unknown.

OBJECTIVE

To evaluate the accuracy of health indicators in predicting all-cause mortality among individuals aged 50+ using area under receiver operating characteristic curve (AUC). Specifically, to assess the added value of health indicators relative to demographic variables.

METHODS

We conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. There were no restrictions on study designs, follow-up duration, language, or publication dates. We also examined the quality of studies using the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies.

RESULTS

Out of 804 studies investigating all-cause mortality in older persons, 16 studies were eligible. In community-dwelling populations, the accuracy of demographic variables and health indicators combined ranged from AUC 0.71 to 0.82, indicating modest ability to predict mortality. Age contributed the most to mortality prediction (AUC 0.65 to 0.78) and compared to age and sex, the added values of genetics, physiology, functioning, mood, cognition, nutritional status, subjective health, disease, frailty, and lifestyle ranged from AUC 0.01 to 0.10. The lack of validation samples made it difficult to assess their true added value. Findings were similar in institutionalized populations. Heterogeneity of the studies prevented us from performing a meta-analysis.

CONCLUSION

Age and sex contributed the most to mortality predictions in old age while the added value of health indicators is likely to be limited.

Retrospective Analysis of Geriatric Patients Undergoing Hip Fracture Surgery: Delaying Surgery Is Associated With Increased Morbidity, Mortality, and Length of Stay

Introduction:

Hip fractures are common in elderly patients. However, this population frequently presents with significant medical comorbidities requiring extensive medical optimization.

Methods:

This study sought to elucidate optimal time to surgery and evaluate its effect on postoperative morbidity, mortality, and length of stay (LOS). We performed a retrospective analysis of data collected from 2008 to 2010 on 841 patients who underwent hip fracture surgery. Patients were classified based on time to surgery and were also classified and analyzed according to the American Society of Anesthesiologists (ASA) physical classification system.

Results:

Patients with a delay of greater than 48 hours had a significant increase in overall LOS, postoperative days, and overall postoperative complications. Patients classified as ASA 4 had an odds ratio for postoperative morbidity of 3.32 compared to the ASA 1 and 2 group (P = .0002) and 2.26 compared to the ASA 3 group (P = .0005). Delaying surgery >48 hours was also associated with increased in-hospital mortality compared to 24 to 48 hours (P = .0197). Increasing ASA classification was also associated with significantly increased mortality. Patients classified as ASA 4 had 5.52 times the odds of ASA 1 and 2 (P = .0281) of in-hospital mortality. Those classified ASA 4 had 2.97 times the odds of ASA 3 (P = .0198) of an in-house mortality. Anesthetic technique (spinal vs general) and age were not confounding variables with respect to mortality or morbidity.

Discussion:

Surgical timing and ASA classification were evaluated with regard to LOS, number postoperative days, morbidity, and mortality.

Conclusions:

Delaying surgery >48 hours, especially in those with increased ASA classification, is associated with an increase in overall LOS, postoperative days, morbidity, and mortality. However, rushing patients to surgery may not be beneficial and 24 to 48 hours of preoperative optimization may be advantageous.

Liver disease and mortality among patients with hip fracture: a population-based cohort study

Purpose

The aim of this study was to examine the prognostic impact of liver disease on mortality following hip fracture (HF).

Patients and methods

This nationwide cohort study, based on prospectively collected data retrieved from Danish registries, included all patients diagnosed with incident HF in Denmark during 1996-2013. Patients were classified based on the coexisting liver disease at the time of HF, ie, no liver disease, noncirrhotic liver disease, and liver cirrhosis. We computed 30-day and 31-365-day mortality risks. To compare patients with and without liver disease, we computed mortality adjusted hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) using Cox regression controlled for potential confounders.

Results

Among 152,180 HF patients, 2,552 (1.7%) patients had noncirrhotic liver disease and 1,866 (1.2%) patients had liver cirrhosis. Thirty-day mortality was 9.4% among patients with noncirrhotic liver disease, 12.6% among patients with liver cirrhosis patients, and 9.7% among patients without liver disease. Compared to patients without liver disease, crude and adjusted HRs within 30 days following HF were, respectively, 0.96 (95% CI: 0.85-1.10) and 1.24 (95% CI: 1.09-1.41) for patients with noncirrhotic liver disease and 1.30 (95% CI: 1.14-1.48) and 2.25 (95% CI: 1.96-2.59) for those with liver cirrhosis. Among patients who survived 30 days post-HF, the 31-365-day mortality was 18.5% among patients with noncirrhotic liver disease, 26.4% among patients with liver cirrhosis, and 19.4% among patients without liver disease. Corresponding crude and adjusted HRs were, respectively, 0.95 (95% CI: 0.86-1.04) and 1.08 (95% CI: 0.99-1.20) for patients with noncirrhotic liver disease and 1.40 (95% CI: 1.27-1.54) and 1.91 (95% CI: 1.72-2.12) for those with liver cirrhosis.

Conclusion

Liver disease patients, especially those with liver cirrhosis, had increased 30-day mortality and 31-365-day mortality following HF, compared to patients without liver disease.

Comorbidities, clinical intercurrences, and factors associated with mortality in elderly patients admitted for a hip fracture

Objective

To analyze comorbidities and clinical complications, and to determine the factors associated with mortality rates of elderly patients admitted with a hip fracture in a tertiary public hospital.

Methods

Sixty-seven medical records were reviewed in a retrospective cohort study, including patients equal to or older than 65 years admitted to this institution for hip fracture between January 2014 and December 2014. The evaluated items constituted were the following: interval of time between fracture and hospital admission, time between admission and surgical procedure, comorbidities, clinical complications, type of orthopedic procedure, surgical risk, cardiac risk, and patient outcome.

Results

The average patients’ age in the sample was 77.6 years, with a predominance of the female gender. Most patients (50.7%) had two or more comorbidities. The main clinical complications during hospitalization included cognitive behavioral disorders, respiratory infection and of the urinary tract. The times between fracture and admission and between admission and surgery were more than seven days in most of cases. The mortality rate during hospitalization was 11.9%, and was directly connected to the presence of infections during hospital stay (p = 0.006), to time between admission and surgery longer than seven days (p = 0.005), to the Goldman Cardiac Risk Index class III (p = 0.008), and to age equal to or greater than 85 years (p = 0.031).

Conclusion

Patients with hip fractures generally present comorbidities, are susceptible to clinical complications, and have an 11.9% mortality rate.

Prognostic factors and predictive model for in-hospital mortality following hip fractures in the elderly

PURPOSE

The incidence of hip fractures is increasing within the aging population. Our objective was to identify and quantify the risk factors and develop a predictive model for the in-hospital mortality among hip fracture patients older than 65 years.

METHODS

This is a prospective study conducted on 331 hip fracture patients older than 65 years admitted to our hospital from 2011 to 2014. Patients' demographics, prehospitalization residential status, prefracture comorbidity data, anti-aggregant and anticoagulant medication, preoperative hemoglobin value, type of fractures, type of treatments, time to surgery, and complications were recorded.

RESULTS

The average age was 83 years, 73% female, and 57% of them sustained a femoral neck fracture. In 62.8% of patients, the number of pre-fracture baseline comorbidities was ≥2. The in-hospital mortality rate was 11.4%. In multivariate analysis, age over 90 years, congestive heart failure, asthma, rheumatologic disease, lung cancer, and not taking antiaggregant medication were independently associated with in-hospital mortality. A formula and risk stratification scoring for predicting the risk for in-hospital mortality was developed. Risk-adjustment model based on these variables had acceptable accuracy for predicting in-hospital mortality (c-statistic 0.77).

CONCLUSION

Advanced age, and five prefracture comorbidities have a strong association with in-hospital mortality in a hip fracture patient older than 65 years old. Our predictive model was specifically designed for the old hip fracture population. It has an accuracy similar to other risk models. The specificity, positive predictive value, and negative predictive value are high. In addition, it could discriminate a high risk patient from a low risk patient for in-hospital mortality.

Usefulness of simple biomarkers at admission as independent indicators and predictors of in-hospital mortality in older hip fracture patients

INTRODUCTION

The data on predictive value of the routinely obtained preoperative biochemical parameters in hip fracture (HF) patients are limited. The aims of this study were to examine in older HF patients (1) the relationships between a broad set of routine laboratory parameters at admission and in-hospital mortality, and (2) evaluate the prognostic value the biomarkers and clinical characteristics (alone or in combination) provide to predict a fatal outcome.

PATIENTS AND METHODS

In 1820 consecutive patients with low-trauma osteoporotic HF aged >60 years (mean age 82.8 ± 8.1 years; 76.4% women; 65% community-dwelling) 35 laboratory variables along with 20 clinical and socio-demographic characteristics at admission were analysed. The validation cohort included data on 455 older (≥60 years of age) HF patients (mean age 82.1 ± 8.0 years, 72.1% women).

RESULTS

The mortality rate was 6% (n = 109). On univariate analysis 14 laboratory and 8 clinical parameters have been associated with in-hospital mortality. Multiple regression analyses determined 7 variables at admission as independent indicators of a fatal outcome: 4 biomarkers (albumin <33 g/L; alanine aminotransferase/gamma-glutamyl transferase ratio [GGT/ALT] >2.5; parathyroid hormone [PTH] >6.8 pmol/L; 25(OH)vitamin D < 25 nmol/L) and 3 pre-fracture clinical conditions (history of myocardial infarction, chronic kidney disease [GFR <60 ml/min/1.73 m²] and chronic obstructive pulmonary disease); the area under the receiver operating characteristic curve (AUC) was 0.75 (95%CI 0.70-0.80). The risk of in-hospital death was 1.6-2.6 times higher in subjects with any of these risk factors (RFs), and increased by 2.6-6.0-fold in patients with any two RFs (versus no RFs). The mortality rate increased stepwise as the number of RFs increased (from 0.43% -none RF to 16.8%- ≥4RF). The prognostic value of a single RF was low (AUC ≤0.635) but combination of 2 or more RFs improved the prediction significantly; AUC reached 0.84(95%CI 0.77-0.90) when ≥4 RFs (versus 0-1RF) were present. In the validated and main cohorts the number of predicted by 1, 2, 3 or ≥4 RFs and observed deaths were practically similar.

CONCLUSIONS

In HF patients, seven easily identifiable at admission characteristics, including 4 biomarkers, are strong and independent indicators of in-hospital mortality and can be used for risk stratification and individualised management.

Patient Mortality in Geriatric Distal Femur Fractures

OBJECTIVES

To estimate 1-year mortality rates in elderly patients who undergo operative treatment for distal femur fractures and identify potential risk factors for mortality.

DESIGN

Retrospective chart review.

SETTING

Level 1 and Level 2 trauma centers.

PATIENTS/PARTICIPANTS

Two hundred eighty-three elderly patients (average age 76.0 years ± 9.8) who sustained distal femur fractures between 2002 and 2012.

INTERVENTION

Fracture fixation of the distal femur.

MAIN OUTCOME MEASURE

Survival up to 1 year after surgery.

RESULTS

The 1-year mortality rate for distal femur fractures in elderly patients was 13.4%. There were no statistically significant differences in overall mortality between native bone and periprosthetic fractures, intramedullary nail or open reduction internal fixation, or across Orthopaedic Trauma Association fracture classifications. Overall patient mortality was significantly higher at 30 days (P = 0.036), 6 months (P = 0.019), and 1 year (P = 0.018), when surgery occurred more than 2 days from the injury. Mean Charlson Comorbidity Index scores were significantly lower in survivors versus nonsurvivors at all time intervals (30 days, P = 0.023; 6 months, P = 0.001 and 1 year P ≤ 0.001). A time to surgery of more than 2 days, regardless of baseline illness, did not result in improved survivability at 1 year.

CONCLUSIONS

Overall mortality for distal femur fractures was 13.4% in the elderly population. A surgical treatment more than 2 days after injury was associated with increased patient mortality.

LEVEL OF EVIDENCE

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Activation of Alpha-7 Nicotinic Acetylcholine Receptor Reduces Brain Edema in Mice with Ischemic Stroke and Bone Fracture

Stroke is an important risk factor for bone fracture. We showed previously that bone fracture at the acute stage of ischemic stroke worsens, and activation of α-7 nicotinic acetylcholine receptor (α-7 nAchR) improves, stroke recovery by attenuating inflammation. We hypothesized that activation of α-7 nAchR also improves the blood-brain barrier (BBB) integrity. Permanent distal middle cerebral artery occlusion (pMCAO) was performed on C57BL/6J mice followed by tibia fracture 1 day later. Mice were treated with 0.8 mg/kg PHA 568487 (PHA, α-7 nAchR-specific agonist), 6 mg/kg methyllycaconitine (MLA, α-7 nAchR antagonist), or saline 1 and 2 days after pMCAO. Brain water content, the expression of monoamine oxidase B (MAO-B), and tight junction protein (claudin-5) were assessed. We found that tibia fracture increased water content in the ischemic stroke brain (p = 0.006) and MAO-B-positive astrocytes (p < 0.001). PHA treatment reduced water content and MAO-B-positive astrocytes and increased claudin-5 expression in stroke and stroke + tibia fracture mice (p < 0.05), while MLA had the opposite effect. Our findings suggest that in addition to inhibiting inflammation, activation of α-7 nAchR also reduces brain edema, possibly through diminished astrocyte oxidative stress and improved BBB integrity. Thus, the α-7 nAchR-specific agonist could be developed into a new therapy for improving recovery of patients with stroke or stroke + bone fracture.

Association of stroke subtypes with risk of hip fracture: a population-based study in Taiwan

Stroke is a critical issue of physical disability. This study aimed to investigate the association of stroke subtypes and hip fracture by using the Taiwan National Health Insurance Research Database. Significantly higher risks of hip fracture were found for female gender and intracerebral hemorrhagic stroke patients.

INTRODUCTION

Previous studies reported the increased hip fracture (HF) after acute stroke. Increased falling tendency immobilization-related sarcopenia and underlying comorbidities are related to HF in stroke patients. In the present study, we explored the association of different stroke subtypes and several comorbidities with poststroke HF.

METHODS

A population-based study was conducted using National Health Insurance Research Database (NHIRD) of Taiwan. First, we identified 17,168 patients diagnosed as having a stroke between January 1, 2002, and December 31, 2010. Then, we randomly selected 51,504 controls that never had a stroke and matched these controls to stroke patients in a 1:3 ratio by age (± 1 year old) and gender. Cox proportional hazards model was used to estimate hazard ratio (HR) and 95% confidence interval (CI).

RESULTS

Stroke patients had a significantly higher risk of HF (HR = 1.69). Female and male stroke patients had incidence rate ratios (IRRs) of 2.05 and 1.82 for HF, respectively. Significantly increased IRRs of 1.82, 1.52, and 2.63 for HF were found for stroke patients with 0, 1, and ≥ 2 comorbidities, respectively. All stroke patients, ischemic stroke patients, and intracerebral hemorrhagic (ICH) patients had HF risks of 1.65, 1.60, and 2.34, respectively.

CONCLUSION

Overall, stroke significantly increases the incidence of HF, and the risk of HF is significantly higher in ICH patients and female gender. We should identify stroke patients at risk of HF and pay more attention to prevent them from fall in poststroke long-term care.

The impact of surgeon volume and hospital volume on postoperative mortality and morbidity after hip fractures: A systematic review

INTRODUCTION

Recently, strategies aimed at optimizing provider factors have been proposed, including regionalization of surgeries to higher volume centers, and adoption of volume standards. With limited literature investigating the impact of hospital and surgeon volume on the outcome of hip fracture repairs, we undertook a systematic review to solidify the findings and attempt to arrive at a definitive conclusion with respect to both factors.

MATERIALS AND METHODS

We performed a systematic review examining the association between surgeon and hospital volume and hip fracture outcomes. To be included in the review, the study population had to include patients undergoing any hip fracture repair such as hemiarthroplasty (HA), internal fixation (ORIF) and total hip arthroplasty (THA). A total of five studies investigating surgeon volume and twelve studies investigating hospital volume were included in the study. With the exception of one study investigating both surgeon and hospital volume, volume thresholds were defined for all studies.

RESULTS

Studies were variable in defining surgeon and hospital volume thresholds. Low surgeon volume was associated with a longer LOS and a higher risk of mortality, but results were contrasting with respect to postoperative complications. High volume hospitals fared better than low volume with respect to length of stay, postoperative complications and time to surgery.

CONCLUSIONS

Increasing hospital volume was a more stronger predictor of postoperative outcomes as compared to surgeon volume. However, there are still few researches with respect to surgeon volume and further studies may yield a more definitive answer to this question.

Perioperative mortality for patients with a hip fracture

INTRODUCTION

Studies on mortality following hip fracture surgery have hitherto focused on the 30 day to 1 year period and beyond. This study focuses on the immediate perioperative period. It examines mortality rates, patient characteristics, operative details and post-operative complications.

PATIENTS AND METHODS

A retrospective study of a hip fracture database in a large District General Hospital in the United Kingdom, from 1986 to 2015. A dataset of 9393 patients was identified, including patients undergoing surgery for curative and palliative purposes, over fifteen years of age and with no upper age limit imposed. It compared patients who survived the first 48h from start of surgery with those who died within this perioperative period.

RESULTS

9393 patients were treated surgically and included within this study, with a mean age of 80.13 and consisting of 7130 female and 2263 male patients. The all cause mortality within 48h from start of surgery was 0.8% (72 patients). Increased risk of perioperative mortality was associated with increasing age, ASA grade 3 and above, in-hospital falls, impaired mobility prior to the fall and a reduced mental test score on admission. For the patient with a perioperative death, the most common circumstances identified in this study involved being found dead in bed by attending staff within 48h of surgery.

DISCUSSION

There has been significant attention paid to the optimization of patient management leading up to hip fracture surgery and its attendant impact on medium and longer term survival. The information from this study may be used to identify patients most at risk of death in the 48h after surgery. The importance of this dataset is that it provides large numbers, which are needed in order to look for associations, given the low 48h mortality rate found.

CONCLUSION

We are unable to highlight any correctable or alterable factors associated with mortality. Further studies with detailed collection of data on a national scale may be needed to assess the impact of levels of postoperative care for hip fracture patients and perioperative mortality.