Functional outcome, mortality and in-hospital complications of operative treatment in elderly patients with hip fractures in the developing world

Hip fracture has been increasing in frequency for several decades, and 70–90% of patients who sustain a hip fracture survive for at least one year. Many of these survivors fail to regain their prefracture functional status. No work in this regard has been done in the developing world. Elderly patients with acute intertrochanteric fracture and fracture of the femoral neck were followed up prospectively for 12 months after surgery to record the mortality, morbidity, functional status and complications. Three hundred and forty-five patients (61% female) were assessed at six and 12 months after surgery, which included 62.9% intertrochanteric fractures and 37% femoral neck fractures. The mechanism of injury was from a fall in 67% of the cases. Nineteen patients died within six months after surgery while another eight died during the next six months. Obesity, male gender, multiple comorbidities and below normal ambulation status before fracture were identified as major determinants of bad functional outcome.     

A machine learning-based prediction model for in-hospital mortality among critically ill patients with hip fracture: An internal and external validated study

IntroductionFew studies have investigated the in-hospital mortality among critically ill patients with hip fracture. This study aimed to develop and validate a model to estimate the risk of in-hospital mortality among critically ill patients with hip fracture.MethodsFor this study, data from the Medical Information Mart for Intensive Care III (MIMIC-III) Database and electronic Intensive Care Unit (eICU) Collaborative Research Database were evaluated. Enrolled patients (n=391) in the MIMIC-III database were divided into a training (2/3, n=260) and a validation (1/3, n=131) group at random. Using machine learning algorithms such as random forest, gradient boosting machine, decision tree, and eXGBoosting machine approach, the training group was utilized to train and optimize models. The validation group was used to internally validate models and the optimal model could be obtained in terms of discrimination (area under the receiver operating characteristic curve, AUROC) and calibration (calibration curve). External validation was done in the eICU Collaborative Research Database (n=165). To encourage practical use of the model, a web-based calculator was developed according to the eXGBoosting machine approach.ResultsThe in-hospital death rate was 13.81% (54/391) in the MIMIC-III database and 10.91% (18/165) in the eICU Collaborative Research Database. Age, gender, anemia, mechanical ventilation, cardiac arrest, and chronic airway obstruction were the six model parameters which were identified using the Least Absolute Shrinkage and Selection Operator (LASSO) method combined with 10-fold cross-validation. The model established using the eXGBoosting machine approach showed the highest area under curve (AUC) value (0.797, 95% CI: 0.696-0.898) and the best calibrating ability, with a calibration slope of 0.999 and intercept of -0.019. External validation also revealed favorable discrimination (AUC: 0.715, 95% CI: 0.566-0.864; accuracy: 0.788) and calibration (calibration slope: 0.805) in the eICU Collaborative Research Database. The web-based calculator could be available at https://doctorwangsj-webcalculator-main-yw69yd.streamlitapp.com/.ConclusionThe model has the potential to be a pragmatic risk prediction tool that is able to identify hip fracture patients who are at a high risk of in-hospital mortality in ICU settings, guide patient risk counseling, and simplify prognosis bench-marking by controlling for baseline risk.     

External validation of the U-HIP prediction model for in-hospital mortality in geriatric hip fracture patients

IntroductionIdentification of high-risk hip fracture patients in an early stage is vital for guiding surgical management and shared decision making. To objective of this study was to perform an external international validation study of the U-HIP prediction model for in-hospital mortality in geriatric patients with a hip fracture undergoing surgery.Materials and methodsIn this retrospective cohort study, data were used from The American College of Surgeons National Surgical Quality Improvement Program. Patients aged 70 years or above undergoing hip fracture surgery were included. The discrimination (c-statistic) and calibration of the model were investigated.ResultsA total of 25,502 patients were included, of whom 618 (2.4%) died. The mean predicted probability of in-hospital mortality was 3.9% (range 0%-55%). The c-statistic of the model was 0.74 (95% CI 0.72–0.76), which was comparable to the c-statistic of 0.78 (95% CI 0.71–0.85) that was found in the development cohort. The calibration plot indicated that the model was slightly overfitted, with a calibration-in-the-large of 0.015 and a calibration slope of 0.780. Within the subgroup of patients aged between 70 and 85, however, the c-statistic was 0.78 (95% CI 0.75–0.81), with good calibration (calibration slope 0.934).Discussion and conclusionThe U-HIP model for in-hospital mortality in geriatric hip fractures was externally validated in a large international cohort, and showed a good discrimination and fair calibration. This model is freely available online and can be used to predict the risk of mortality, identify high-risk patients and aid clinical decision making.     

Increased risk of hip fracture among patients with end-stage renal disease

BACKGROUND: Although patients with end-stage renal disease (ESRD) are at increased risk for bone loss, the risk of hip fracture in this population is not known. We compared the risk of hip fracture among dialysis patients with the general population. METHODS: We used data from the United States Renal Data System (USRDS) to identify all new Caucasian dialysis patients who began dialysis between January 1, 1989, and December 31, 1996. All hip fractures occurring during this time period were ascertained. The observed number of hip fractures was compared with the expected number based on the experience of residents of Olmstead County (MN, USA). Standardized incidence ratios were calculated as the ratio between observed and expected. The risk attributable to ESRD was calculated as the difference between the observed and expected rate of hip fracture per 1000 person-years. RESULTS: The number of dialysis patients was 326,464 (55.9% male and 44.1% female). There were 6542 hip fractures observed during the follow-up period of 643, 831 patient years. The overall incidence of hip fracture was 7.45 per 1000 person years for males and 13.63 per 1000 person years for females. The overall relative risk for hip fracture was 4.44 (95% CI, 4.16 to 4.75) for male dialysis patients and 4.40 (95% CI, 4.17 to 4.64) for female dialysis patients compared with people of the same sex in the general population. While the age-specific relative risk of hip fracture was highest in the youngest age groups, the added risks of fracture associated with dialysis rose steadily with increasing age. The relative risk of hip fracture increased as time since first dialysis increased. CONCLUSIONS: The overall risk of hip fracture among Caucasian patients with ESRD is considerably higher than in the general population, independent of age and gender.     

Post-discharge complications in postoperative patients with hip fracture

Hip fractures often occur in elderly people and are a major global health challenge causing many consequences, both in health and socioeconomic costs. This review aimed to identify complications that occur in patients with postoperative hip fracture between 30 days and 60 months after discharge. This review was conducted on articles published from 2005 to 2017 obtained from the EBSCO, PubMed, ProQuest and Google Scholar databases. The literature search followed PRISMA Guidelines. Key search words included the terms: hip fracture, complication, postoperative, community, and nursing. Articles were considered eligible if discussed the complications of hip fracture with surgical treatment, occurring post hospital discharge and the patient was in the community. In this review, 23 articles were included that met the inclusion criteria. There were 16 articles that cohort studies, 3 were retrospective studies, 3 were randomized control trials and 1 article was an observational study. The time of observation varied from 30 days to the longest of 5 years. Quality assessment of the levels of evidence used the Oxford CEBM recommendations. The review results found that postoperative hip fracture patients after discharge still experienced various complications after 30 days and up to 1–3 years post-operation.     

Incidence,mortality, and complications of acute myocardial infarction with and without percutaneous coronary intervention in hip fracture patients

IntroductionAcute myocardial infarction (AMI) is a common cause of death following hip fracture surgery. This study aimed to determine the incidence and timing of perioperative AMI treated with percutaneous coronary intervention (PCI) in hip fracture patients, and to compare in-hospital mortality and complications between hip fracture patients who did not have an AMI, those who sustained a perioperative AMI and did not undergo PCI, and those who sustained an AMI and underwent PCI.MethodsThe National Inpatient Sample (NIS) was queried from 2010 through the third quarter of 2015 to identify all patients undergoing hip fracture surgery. Patients were stratified into three cohorts: perioperative AMI but no PCI (no PCI cohort), perioperative AMI with PCI (PCI cohort), and no perioperative AMI or PCI (no AMI cohort). Patient demographics, comorbidities, in-hospital mortality, and complications were compared between cohorts. Multivariable logistic regression adjusting for age, sex, procedure, and Elixhauser score was used to assess the relative odds of in-hospital mortality for each cohort.ResultsA total of 1,535,917 hip fracture cases were identified, with 1.9% in the no PCI cohort, 0.01% in the PCI cohort, and 98.0% in the no AMI cohort. In-hospital mortality was lower in the PCI cohort than in the no PCI cohort (8.8% vs. 14%), and was greater for both than in the no AMI cohort (1.6%, p < 0.001 for all). Both the no PCI cohort (OR, 6.1; 95% CI, 5.6–6.6) and PCI cohort (OR, 4.1; 95% CI, 2.8–6.0) had increased adjusted odds of in-hospital mortality compared to the no AMI cohort. The PCI cohort had a higher rate of bleeding complications than both other cohorts, and the no PCI cohort had a higher rate of transfusion than both other cohorts.ConclusionsPerioperative AMI both with and without PCI independently increases the risk of mortality in hip fracture patients, with the highest risk of mortality in those with AMI without PCI. Providers should understand the increased morbidity and mortality associated with AMI in hip fracture patients, as well as the risks and benefits of perioperative PCI, in order to better counsel and manage these patients.Level of EvidenceIII     

Perioperative mortality for patients with a hip fracture

IntroductionStudies 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 methodsA 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 48 h from start of surgery with those who died within this perioperative period.Results9393 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 48 h 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 48 h of surgery.DiscussionThere 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 48 h 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 48 h mortality rate found.ConclusionWe 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.     

Risk factors for hip fracture among patients with end-stage renal disease

BACKGROUND: Although bone disease is well described among end-stage renal disease (ESRD) patients, little attention has been paid to the occurrence of fracture. We sought to identify factors that are associated with hip fracture among ESRD patients. METHODS: Data from patients who participated in the United States Renal Data System Dialysis Morbidity and Mortality Study Wave 1 were used for this study. Hip fractures occurring among these patients between 1993 and 1996 were identified from Medicare claims data available from the United States Renal Data System. Cox proportional hazards models were used to estimate the risk of hip fracture associated with demographic and medical variables. RESULTS: Of the 4952 patients included in this analysis, 103 sustained a hip fracture. In the multivariate analysis, age (per increasing decade, RR = 1.40, 95% CI 1.20, 1.64), female gender (RR = 2.26, 95% CI 1.48, 3.44), race (blacks compared with whites, RR = 0.58, 95% CI 0.37, 0.91), body mass index (per 1 unit increase, RR 0.89, 95% CI 0.86, 0.93), and the presence of peripheral vascular disease (RR 1.94, 95% CI 1.29, 2.92) were independently associated with hip fracture. Serum intact parathyroid hormone (iPTH), aluminum, diabetes, and bicarbonate levels did not appreciably influence the risk of hip fracture. CONCLUSIONS: Demographic and other characteristics that predict risk of hip fracture in the population at large also do so in ESRD patients. However, we could identify no characteristics of ESRD or its treatment that were independently related to hip fracture incidence.     

疼痛管理对老年髋部骨折患者术后的影响

目的探讨老年髋部骨折患者规范化疼痛管理的效果。方法将年龄≥60岁、髋部骨折已行手术的40例患者随机分为干预组和对照组各20例。对照组采用常规护理,观察组在此基础上对患者进行规范化疼痛管理,包括健康教育、合理评估、合理应用镇痛药物、个体化管理等措施。结果两组术后第3天及出院时疼痛程度、出院时日常生活能力、住院时间比较,差异有统计学意义(P<0.05,P<0.01)。结论对老年髋部骨折患者实施疼痛管理,能够减轻术后疼痛,提高患者的生活能力,促进其早日康复。     

Postoperative mortality and complications

Recent publications not only underline the risks of age and disease during surgery but also help us quantify the risks with greater precision. Importantly, patient factors often have a stronger association with postoperative mortality than surgical factors. Important factors preoperatively are: age, American Society of Anaesthesiologist (ASA) physical status, emergency surgery, and plasma albumin concentration. There is emerging work on quantifying frailty as a further risk factor for perioperative complication and mortality as well as need for higher level of care after discharge from hospital. Important postoperative complications include sepsis and kidney injury. Preventing, detecting and managing complications and mortality is the greatest challenge facing those caring for surgical patients, including anaesthetists. Evidence for the long term effects of perioperative complications adds further importance to minimizing perioperative complications. Newer approaches in patient care, particularly co-management during the postoperative phase by different specialities are emerging. Managing high-risk patients should also be enhanced with greater surveillance and more rapid and appropriate response; ensuring we do not fail to rescue our patients.     

Short-term mortality in hip fracture patients

Editor—We read with interest the paper by Foss and Kehlet¹investigating the effect on early mortality in hip fracturepatients admitted during weekends and holidays. There are manysimilarities between the UK and Denmark in     

Changes in quality of life among elderly patients with hip fracture in Taiwan

To examine the longitudinal change in health related quality of life (HRQoL) during 1 year following hospital discharge in elderly subjects, 110 hip fractured subjects (age, mean±SD: 79.3±7.4 years) were enrolled in a prospective study. Face-to-face interviews with the patients were conducted, using Short Form 36 (SF-36) at 1, 3, 6, and 12 months after they were discharged from the hospital. The GEE approach was employed to evaluate changes in the variables of interest among different time points. Subjects in this study appeared to have lower scores in most dimensions of SF-36, with physical function and role limitation being the lowest due to physical problems (mean±SD=10.97±16.19; 6.32±20.60) during the 1st month after hospital discharge, compared to community dwelling subjects (mean±SD=77.5±20.5; 63.8±45.30). Most of the dimensions of SF-36, except general health (6th month versus 3rd month=57.56±21.90 versus 61.75±23.46, P>0.05) improved significantly from the 1st month to the 3rd month (range of means of improved scores from 12.81 to 30.76, P<0.01). After the 3rd month after discharge, physical functions kept improving significantly until 6 months after hospital discharge (3rd month versus 6th month=25.18±23.66 versus 40.30±25.94, P<0.05). Role limitation due to physical problems reached a plateau between the 3rd and 6th month, and then again improved significantly during the 6th month and the 1st year after hospital discharge (6th month versus 1st year=17.69±31.78 versus 32.22±44.47, P<0.05). The rest of the dimensions of SF-36 remained stable from the 3rd month to 1 year after discharge. These results indicated that different aspects of SF-36 recovered differently for the hip fractured patients in Taiwan. Similar studies may be helpful for health-care providers in other countries with Chinese populations to develop specific intervention programs.     

人工股骨头置换治疗帕金森病患者股骨颈骨折术后功能恢复的影响因素

目的 探讨人工股骨头置换术治疗帕金森病患者股骨颈骨折后对功能恢复的影响因素.方法 2002年9月至2007年7月对18例发生股骨颈骨折的帕金森病患者行人工股骨头置换术治疗.术前根据Hoehn-Yahr方法 对帕金森病病情进行分级:Ⅱ期5例,Ⅲ期9例,Ⅳ期4例.手术入路:前方入路5例,外侧入路7例,后外侧入路6例.手术时机:1周内手术13例,1周后手术5例.术后1周内开始功能锻炼11例,1周后开始7例.采用多因素Logistic回归模型对帕金森病分级、手术时机、手术入路及术后开始功能锻炼的时间等因素与功能恢复的相关性进行分析. 结果 18例患者术后获8～42个月(平均22个月)随访.根据Harris髋天节功能评分标准评定疗效:优5例,良7例,可4例,差2例,优良率为66.7%.对影响髋关节Harris功能评价结果 的各因素进行多因素Logistic回归分析结果 显示:帕金森病分级、受伤至手术时间、手术入路及术后开始功能锻炼的时间筹异均有统计学意义(P值分别为0.0324、0.0416、0.0292、0.0257).结论 帕金森病分级、手术时机、手术入路和术后开始功能锻炼的时间均与术后关节功能恢复相关.帕金森病病情较轻者,早期行人工股骨头置换术,选用前侧或外侧手术入路,术后1周内开始患肢功能锻炼,能够明显提高手术疗效.     

Hyponatremia at admission is associated with in-hospital death in patients with hip fracture

Purpose

Hyponatremia in hospitalized patients has been reported to be associated with in-hospital mortality. We studied patients treated at our hospital for hip fracture regarding the factors related to hyponatremia at admission.

Methods

Among 580 patients aged 60 years or above who were admitted to our hospital since January 1997 for treatment of hip fracture, 512 patients (110 males, 402 females) from whom serum sodium level at admission was available were studied. In 512 patients, the age at injury ranged from 60 to 103 (mean 82.6) years. Fracture types were femoral neck fracture in 191 patients, and trochanteric fracture in 321. These patients were divided into two groups by the blood sodium level at admission: a hyponatremia group with sodium levels lower than 135 mEq/L, and a normonatremia group with sodium levels within normal range. The age, gender, fracture type, residence before injury, pre-injury walking capability, anemia at admission, liver function, kidney function, inflammatory status, urinary glucose status, lung disease, ECG abnormality, systemic chronic disease, status of dementia, treatment modality, hospital stay (days), and in-hospital death were investigated. First a univariate study was conducted to identify the factors that differ significantly between the two groups. Then multivariate analysis was conducted using the parameters with significant difference as independent variables

Results

Hyponatremia was found in 49 of 512 (9.6 %) patients. In univariate analyses, six factors (age; residence before injury; anemia; dementia; treatment modality; in-hospital death) were significantly different between the hyponatremia group and normonatremia group. Multivariate analysis identified in-hospital death [odds ratio (OR) = 3.64, p = 0.035] and age (OR = 1.05, p = 0.029) as independently associated with hypernatremia.

Conclusion

Hyponatremia at admission is prevalent in old aged patients with fracture, and is related to in-hospital death.     

Total hip replacement in patients with Parkinson's disease

From 1970 to 1994, 107 total hip arthroplasties (THAs) were performed in 98 patients with Parkinson's disease. The average age of the patients was 72 years. Preoperative diagnoses were osteoarthrosis in 58 hips, failed endoprosthesis in 19, aseptic loosening in ten, femoral neck fracture in 18, and other diagnoses in two. Milder neurological stages I-III were assigned to 96 patients, and tendon release for contracture was performed in eight patients. Of the 38 complications eight were urinary tract infections and six dislocations. Of these 15 occurred in the 58 primary THAs and 23 in the 49 nonprimary THAs. In patients with primary THAs there were no dislocations; however, one of the four postoperative deaths occurred following primary THA. We followed 75 hips for 7 (2-21) years; 51 patients had died by the time of the study. Neurological status deteriorated over time with 57% of patients progressing to functional stages IV or V, although consistent improvement was noted for pain relief. Function was directly related to the stage of the neurological disease.     

A model of British in-hospital mortality among burns patients

IntroductionMortality among patients treated in hospital for burn is routinely examined, but none of the many models in use in the UK was developed using nationwide data. The aim of this research was to develop a prediction model using national data, representative of the British population.MethodsData were gathered from the international Burns Injury Database (iBID) and included 66,611 patients from England and Wales from 2003 to 2011. Core variables were selected following systematic review of the literature, expert consultation and then supplemented with variables selected through logistic regression. Discrimination and calibration of the model were assessed using the area under the receiver operating characteristic curve and the Hosmer–Lemeshow χ² test respectively.ResultsOverall mortality for the years of the study in England and Wales was 1.27%. Mortality was predicted by age (and quadratic term) total burn surface area, presence of inhalation injury, presence of existing disorders and category of injury. The model gave a discrimination area under the curve of 0.97 in both internal and external validation. The calibration of the model gave a Hosmer–Lemeshow χ² of 11.9 (p = 0.3).ConclusionWe have reported a strongly predictive and theoretically well-founded model of in-patient mortality using nine years of data from all burn care services in England and Wales. We recommend this model for British burn service development and for international consideration of the variables to use in developing similar models with other data sources.     

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

IntroductionThe 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 methodsIn 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).ResultsThe 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.ConclusionsIn 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.