Increased risk for postoperative periprosthetic fracture in hip fracture patients with the Exeter stem than the anatomic SP2 Lubinus stem.
Ontology highlight
ABSTRACT: Background
The purpose of this study was to compare the cumulative incidence of postoperative periprosthetic fracture (PPF) in a cohort of femoral neck fracture (FNF) patients treated with two commonly used cemented stems: either a collarless, polished, tapered Exeter stem or the anatomic Lubinus SP2 stem.Methods
In this retrospective multicenter cohort study of a consecutive series of patients, we included 2528 patients of age 60 years and above with an FNF who were treated with either hemiarthroplasty or total hip arthroplasty using either a polished tapered Exeter stem or an anatomic Lubinus SP2 stem. The incidence of PPF was assessed at a minimum of 2 years postoperatively.Results
The incidence of PPF was assessed at a median follow-up of 47 months postoperatively. Thirty nine patients (1.5%) sustained a PPF at a median of 27 months (range 0-96 months) postoperatively. Two of the operatively treated fractures were Vancouver A (5%), 7 were Vancouver B1 (18%), 10 were Vancouver B2 (26%), 7 were Vancouver B3 (18%), and 13 were Vancouver C (32%). The cumulative incidence of PPF was 2.3% in the Exeter group compared with 0.7% in the SP2 group (p < 0.001). The HR was 5.4 (95% CI 2.4-12.5, p < 0.001), using the SP2 group as the denominator.Conclusions
The Exeter stem was associated with a higher risk for PPF than the Lubinus SP2 stem. We suggest that the tapered Exeter stem should be used with caution in the treatment of FNF.Trial registration
The study was registered at clinicaltrials.gov (identifier: NCT03326271).
SUBMITTER: Mellner C
PROVIDER: S-EPMC8187181 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Background and purpose - The use of uncemented fixation in total hip arthroplasty (THA) is increasing. Registry studies have indicated an increased risk of revision of uncemented implants due to early periprosthetic femoral fracture. In this paper, we describe the incidence and predisposing factors for intraoperative and early postoperative (? 90 days) periprosthetic femoral fractures after cemented and uncemented THA. Patients and methods - This was a prospective observational study in 8 Danish high-volume centers from February 2010 to November 2013. We used the 90-day follow-up from the Danish National Patient Registry and patient records. We obtained intraoperative information from the Danish Hip Arthroplasty Registry and from surgical notes. Results - Of 7,169 primary consecutive THAs, 5,482 (77%) were performed using uncemented femoral components. The total incidence of periprosthetic femoral fractures ? 90 days postoperatively was 2.1% (n = 150). 70 fractures were detected intraoperatively (46 required osteosynthesis). 51 postoperatively detected fractures occurred without trauma (42 of which were reoperated) and 29 were postoperative fall-related fractures (27 of which were reoperated). 134 fractures (2.4%) were found in uncemented femoral components and 16 (0.9%) were found in cemented femoral components (p < 0.001). Uncemented femoral stem (relative risk (RR)?=?4.1, 95% CI: 2.3-7.2), medically treated osteoporosis (RR =2.8, CI: 1.6-4.8), female sex (RR =1.6, CI: 1.1-2.2), and age (RR =1.4 per 10 years, CI: 1.2-1.6) were associated with increased risk of periprosthetic femoral fracture when analyzed using multivariable regression analysis. Interpretation - Uncemented femoral components were associated with an increased risk of early periprosthetic femoral fractures, especially in elderly, female, and osteoporotic patients.
| S-EPMC5499329 | biostudies-literature
Project description:PurposeThe preferred method of stem fixation in total hip arthroplasty (THA) remains debatable. Uncemented THA favors a lower rate of aseptic loosening but has an increased risk of early periprosthetic fractures (EPF). We hypothesize that routine placement of uncemented THA by experienced surgeons diminishes this EPF-risk. The purpose of this study is to investigate the effect of age, gender, ASA classification and BMI of THA performed by experienced surgeons on the risk of EPF.MethodsA retrospective cohort study including all primary THAs and revision surgeries performed between 2012 and 2018. Possible predictive factors included are age, gender, BMI, ASA classification, presence of osteoporosis, Dorr classification, revision surgery type and clinical outcome. A number needed to treat (NNT) analysis was conducted assuming that cementing THA prevents EPF.Results2635 primary THAs were performed. Indications for 70 revisions included 18 EPF in uncemented THA female patients. Periprosthetic fractures without a relevant trauma occurred within six weeks in 16 patients. There was a statistically significant correlation between EPF-risk and age (P = 0.032), female gender (P = 0.001) and ASA classification (P = 0.015). For age ≥75, there was an increase in EPF (P = 0.047). With the assumption that cementing would prevent EPF, the NNT is 48. No statistically significant correlation was found between EPF and BMI, osteoporosis or Dorr classification.ConclusionFemale patients aged ≥75 have an increased EPF-risk after uncemented THA and would therefore benefit from treatment with a cemented stem. An ASA score of III-IV is an independent risk factor for EPF after uncemented THA.
| S-EPMC8044540 | biostudies-literature
Project description:BackgroundDiabetes and hip fractures in geriatric patients are common, and many elderly patients have a history of diabetes. However, the influence of diabetes on surgical complications may vary based on which particular type of diabetes a patient has. To our knowledge, no prior study has stratified patients with diabetes to compare patients with noninsulin-dependent and insulin-dependent diabetes regarding rates of postoperative adverse events, length of hospitalization, and readmission rate after surgical stabilization of hip fractures in geriatric patients.Questions/purposesWe asked whether patients with noninsulin-dependent or insulin-dependent diabetes are at increased risk (1) of sustaining an aggregated serious adverse event, aggregated minor adverse event, extended length of stay, or hospital readmission within 30 days of hip fracture surgery; (2) of experiencing any individual serious adverse event within 30 days of hip fracture surgery; and (3) of experiencing any individual minor adverse event within 30 days of hip fracture surgery.MethodsPatients older than 65 years undergoing surgery for hip fracture between 2005 and 2012 were identified (n = 9938) from the American College of Surgeons National Surgical Quality Improvement Program(®) database. This database reports events within 30 days of the surgery. Demographics were compared between three groups of patients: patients with noninsulin-dependent diabetes, patients with insulin-dependent diabetes, and patients without diabetes. Patients without diabetes served as the reference group, and the relative risks for aggregated serious adverse events, aggregated minor adverse events, length of stay greater than 9 days, and readmission within 30 days were calculated for patients with noninsulin-dependent and with insulin-dependent diabetes. We then calculated relative risks for each specific serious adverse event and minor adverse event using multivariate analyses.ResultsPatients with noninsulin-dependent and insulin-dependent diabetes were at no greater risk of sustaining an aggregated serious adverse event, aggregated minor adverse event, extended postoperative length of stay, or readmission. Among individual serious adverse events, only postoperative myocardial infarction was found to be increased in the diabetic groups (relative risk [RR] = 1.9 for noninsulin-dependent diabetes, 95% CI, 1.3-2.8; RR = 1.5 for insulin-dependent diabetes, CI, 0.9-2.6; p = 0.003). Patients with noninsulin-dependent and insulin-dependent diabetes were at no greater risk of sustaining any individual minor adverse event.ConclusionsDespite previously reported and perceived risks associated with diabetes, we found little difference in terms of perioperative risk among geriatric patients with hip fracture with noninsulin-dependent or insulin-dependent diabetes relative to patients without diabetes. Clinically, the implications of these findings will help to improve, specify, and increase the efficiency of the preoperative workup and counseling of patients with diabetes who need hip fracture surgery.Level of evidenceLevel III, case-control study. See Instructions for Authors for a complete description of levels of evidence.
| S-EPMC4317441 | biostudies-literature
Project description:Periprosthetic femur fractures present a growing worldwide challenge for orthopaedic surgeons. Fractures around a hip resurfacing implant create unique management problems. When considering fixation, there can be limited options for ideal stabilization and some require creative constructs. We present an interesting case of a periprosthetic intertrochanteric femur fracture between a hip resurfacing implant and retrograde intramedullary nail.
| S-EPMC7451880 | biostudies-literature
Project description:UNLABELLED: This multicenter study of 813 consecutive patients with hip fracture was performed to estimate the effectiveness and reproducibility of the Estimation of Physiologic Ability and Surgical Stress (E-PASS) scoring system to assess postoperative risk in patients with hip fracture. E-PASS is comprised of a preoperative risk score, a surgical stress score, and a comprehensive risk score based on the preoperative risk score and surgical stress score. Postoperative complications developed in 163 patients (20.0%); 13 (1.6%) died. Hospital postoperative morbidity and mortality rates increased linearly with the preoperative risk score and comprehensive risk score; the correlation was significant. The severity of postoperative complications and the incidence of higher grades of complications increased significantly with rising preoperative risk score and comprehensive risk score. Each E-PASS score also was related significantly with the length of postoperative hospitalization and costs. These results suggest E-PASS is useful for predicting postoperative risk, estimating costs, and for comparing the outcome in patients having surgical treatment of hip fractures. LEVEL OF EVIDENCE: Level II, prognostic study. See the Guidelines for Authors for a complete description of levels of evidence.
| S-EPMC2565032 | biostudies-other
Project description:Background and purposeProsthetic joint infection (PJI) remains a devastating complication of arthroplasty. Today, most displaced femoral neck fractures in the elderly are treated with arthroplasty. We estimated the incidence of and risk factors for PJI in primary arthroplasty after femoral neck fracture.Patients and methodsPatients admitted for a femoral neck fracture in 2008 and 2009 were registered prospectively. We studied clinical, operative, and infection data in 184 consecutive patients.Results9% of the patients developed a PJI. Coagulase-negative staphylococci and Staphylococcus aureus were the most frequently isolated organisms. We found that preoperative waiting time was associated with PJI and also with urinary tract infection. The median preoperative waiting time was 37 (11-136) h in the infection group as opposed to 26 (4-133) h in the group with no infection (p = 0.04). The difference remained statistically significant after adjusted analysis. The success of treatment with debridement and retention of the prosthesis was limited, and 5 of the 17 patients with PJI ended up with a resection arthroplasty. The 1-year mortality rate was 21% in the patients with no infection, and it was 47% in the infection group (p = 0.03).InterpretationWe found a high incidence of PJI in this elderly population treated with arthroplasty after hip fracture, with possibly devastating outcome. The length of stay preoperatively increased the risk of developing PJI.
| S-EPMC3639331 | biostudies-literature
Project description:Purpose:Pneumonia is one of the common complications of hip fracture. This study aimed to evaluate the risk factors and apply a nomogram to predict postoperative pneumonia in elderly hip fracture patients. Materials and Methods:From August 2014 to October 2019, 1113 hip fracture patients who were older than 65 years and underwent surgical treatment in our hospital were subjects of this study. Univariate and multivariate Cox analyses were used to identify independent risk factors. A predictive nomogram model was built, and the discrimination and calibration were determined by receiver operating characteristic and calibration plot. Results:A total of 166 patients developed pneumonia after operation (14.91%, pneumonia group) while the remaining 947 patients did not (85.09%, non-pneumonia group). According to the results, body mass index (OR, 0.76, 95% CI, 0.70 to 0.84, P<0.001), serum albumin (OR, 0.86, 95% CI, 0.79 to 0.93, P<0.001), c-reactive protein (OR, 1.01, 95% CI, 1.00 to 1.92, P=0.011), functional status (OR, 2.94, 95% CI, 1.69 to 5.10, P<0.001) and time to surgery (OR, 4.56, 95% CI, 2.64 to 7.88, P<0.001) were identified as independent risk factors of pneumonia. The area under the curve value for postoperative pneumonia risk was 0.905, and the P-value of the Hosmer-Lemeshow calibration test was 0.529. Conclusion:Our nomogram model can be used to predict the risk of pneumonia in elderly hip fractures after surgery and provide clinicians with guidance for better perioperative intervention to improve prognosis and reduce mortality.
| S-EPMC7502327 | biostudies-literature
Project description:BackgroundHip fracture (HF) is one of the most common fractures in the elderly and is significantly associated with high mortality and unfavorable prognosis. Postoperative pneumonia (POP), the most common postoperative complication of HF, can seriously affect patient prognosis and increase the burden on the healthcare system. The aim of this study was to develop machine learning models for identifying elderly patients at high risk of pneumonia after hip fracture surgery.MethodsFrom May 2016 to November 2022, patients admitted to a single central hospital for HF served as the study population. We extracted data that could be collected within 24 h of patient admission. The dataset was divided into training and validation sets according to 70:30. Based on the screened risk factors, prediction models were developed using seven machine learning algorithms, namely CART, GBM, KNN, LR, NNet, RF, and XGBoost, and their performance was evaluated.ResultsEight hundred five patients were finally included in the analysis and 75 (9.3%) patients suffered from POP. Age, CI, COPD, WBC, HB, GLU, STB, GLOB, Ka+ which are used as features to build machine learning models. By evaluating the model's AUC value, accuracy, sensitivity, specificity, Kappa value, MCC value, Brier score value, calibration curve, and DCA curve, the model constructed by XGBoost algorithm has the best and near-perfect performance.ConclusionThe machine learning model we created is ideal for detecting elderly patients at high risk of POP after HF at an early stage.
| S-EPMC10403839 | biostudies-literature
Project description:BackgroundPost-hip fracture surgery delirium (PHFD) is a significant clinical problem in older patients, but an adequate, simple risk prediction model for use in the preoperative period has not been developed.MethodsThe 2016 American College of Surgeons National Surgical Quality Improvement Program Hip Fracture Procedure Targeted Participant Use Data File was used to obtain a cohort of patients ≥60 years of age who underwent hip fracture surgery (n = 8871; randomly assigned to derivation [70%] or validation [30%] cohorts). A parsimonious prediction model for PHFD was developed in the derivation cohort using stepwise multivariable logistic regression with further removal of variables by evaluating changes in the area under the receiver operator characteristic curve (AUC). A risk score was developed from the final multivariable model.ResultsOf 6210 patients in the derivation cohort, PHFD occurred in 1816 (29.2%). Of 32 candidate variables, 9 were included in the final model: (1) preoperative delirium (adjusted odds ratio [aOR], 8.32 [95% confidence interval {CI}, 6.78-10.21], 8 risk score points); (2) preoperative dementia (aOR, 2.38 [95% CI, 2.05-2.76], 3 points); (3) age (reference, 60-69 years of age) (age 70-79: aOR, 1.60 [95% CI, 1.20-2.12], 2 points; age 80-89: aOR, 2.09 [95% CI, 1.59-2.74], 2 points; and age ≥90: aOR, 2.43 [95% CI, 1.82-3.23], 3 points); (4) medical comanagement (aOR, 1.43 [95% CI, 1.13-1.81], 1 point); (5) American Society of Anesthesiologists (ASA) physical status III-V (aOR, 1.40 [95% CI, 1.14-1.73], 1 point); (6) functional dependence (aOR, 1.37 [95% CI, 1.17-1.61], 1 point); (7) smoking (aOR, 1.36 [95% CI, 1.07-1.72], 1 point); (8) systemic inflammatory response syndrome/sepsis/septic shock (aOR, 1.34 [95% CI, 1.09-1.65], 1 point); and (9) preoperative use of mobility aid (aOR, 1.32 [95% CI, 1.14-1.52], 1 point), resulting in a risk score ranging from 0 to 20 points. The AUCs of the logistic regression and risk score models were 0.77 (95% CI, 0.76-0.78) and 0.77 (95% CI, 0.76-0.78), respectively, with similar results in the validation cohort.ConclusionsA risk score based on 9 preoperative risk factors can predict PHFD in older adult patients with fairly good accuracy.
| S-EPMC6917900 | biostudies-literature
Project description:IntroductionHip fracture is a common clinical problem in geriatric patients often associated with poor postoperative outcomes. Postoperative delirium (POD) and postoperative neurocognitive disorders (NCDs) are particularly frequent. The consequences of these disorders on postoperative recovery and autonomy are not fully described. The aim of this study was to determine the role of POD and NCDs on the need for institutionalization at 3 months after hip fracture surgery.MethodA population-based prospective cohort study was conducted on hip fracture patients between March 2016 and March 2018. The baseline interview, which included a Mini-Mental State Examination (MMSE), was conducted in the hospital after admission for hip fracture. NCDs were appreciated by MMSE scoring evolution (difference between preoperative MMSE and MMSE at day 5 >2 points). POD was evaluated using the Confusion Assessment Method. The primary endpoint was the rate of new institutionalization at 3 months. We used a multivariate analysis to assess the risk of new institutionalization.ResultsA total of 63 patients were included. Thirteen patients (20.6%) were newly institutionalized at 3 months. Two factors were significantly associated with the risk of postoperative institutionalization at 3 months: POD (OR = 5.23; 95% CI 1.1-27.04; p = 0.04) and IADL evolution (OR = 1.8; 95% CI 1.23-2.74; p = 0.003).ConclusionOnly POD but not NCDs was associated with the risk of dependency and institutionalization after hip fracture surgery. The prevention of POD appears to be essential for improving patient outcomes and optimizing the potential for returning home.
| S-EPMC10464946 | biostudies-literature