ArticleEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2022
Development and internal validation of a clinical prediction model using machine learning algorithms for 90 day and 2 year mortality in femoral neck fracture patients aged 65 years or above.
Article in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Artificial Intelligence and Machine Learning for Outcome Prediction After Osteoporotic Hip Fracture: A Systematic Review and Meta-analysis of Prediction Model Performance.Current osteoporosis reports · 2026Pooled it
- Models for predicting short- to long-term mortality in older adults with hip fractures in clinical practice: a systematic review and meta-analysis.BMC geriatrics · 2026Pooled it
- Artificial Intelligence for Hip Fracture Detection and Outcome Prediction: A Systematic Review and Meta-analysis.JAMA network open · 2023Pooled it
- Secondary fragility fractures after hip fracture surgery in four thousand, four hundred and eighteen older adults: risk factors and internal validation of an interpretable machine-learning model.International orthopaedics · 2026Article
- Development and internal validation of prediction model for 90-day mortality in older patients with hip fracture using admission blood parameters.BMC geriatrics · 2026Article
- Dynamic frailty risk prediction in elderly hip replacement: a deep learning approach to personalized rehabilitation.BMC medical informatics and decision making · 2025Article
- Observational
- FPG Score: A Rapid Admission-Based Tool for Predicting In-Hospital Mortality in Elderly Hip Fracture Patients.Orthopaedic surgery · 2025Observational
- Artificial intelligence for predicting 30-day mortality after surgery for femoral shaft fractures: A retrospective study.Indian journal of anaesthesia · 2025Article
- Development of Machine Learning-based Algorithms to Predict the 2- and 5-year Risk of TKA After Tibial Plateau Fracture Treatment.Clinical orthopaedics and related research · 2025Article
- Machine learning algorithms to predict epidural-related maternal fever: a retrospective study.Frontiers in pharmacology · 2025Article
- Development and validation of a postoperative delirium risk prediction model for non-cardiac surgery in elderly patients.Frontiers in psychiatry · 2025Article
- A machine learning model for predicting postoperative complication risk in young and middle-aged patients with femoral neck fractures.Frontiers in surgery · 2025Article
- Development and Statistical Validation of a Machine Learning Model for Predicting Functional Outcomes at Discharge after Bipolar Hip Arthroplasty.Progress in rehabilitation medicine · 2025Article
- Development and reporting of artificial intelligence in osteoporosis management.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024Review
- Development and Internal Validation of a Multivariable Prediction Model for Mortality After Hip Fracture with Machine Learning Techniques.Calcified tissue international · 2024Article
- Machine learning applications for the prediction of extended length of stay in geriatric hip fracture patients.World journal of orthopedics · 2023Article
- Article
- Intercontinental validation of a clinical prediction model for predicting 90-day and 2-year mortality in an Israeli cohort of 2033 patients with a femoral neck fracture aged 65 or above.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2023Article
- The use of angiotensin-converting enzyme inhibitors or angiotensin II receptor blockers may relate to the survival and walking ability in geriatric patients with hip fractures: a 1-year follow-up study.BMC musculoskeletal disorders · 2023Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposePreoperative prediction of mortality in femoral neck fracture patients aged 65 years or above may be valuable in the treatment decision-making. A preoperative clinical prediction model can aid surgeons and patients in the shared decision-making process, and optimize care for elderly femoral neck fracture patients. This study aimed to develop and internally validate a clinical prediction model using machine learning (ML) algorithms for 90 day and 2 year mortality in femoral neck fracture patients aged 65 years or above.
methodsA retrospective cohort study at two trauma level I centers and three (non-level I) community hospitals was conducted to identify patients undergoing surgical fixation for a femoral neck fracture. Five different ML algorithms were developed and internally validated and assessed by discrimination, calibration, Brier score and decision curve analysis.
resultsIn total, 2478 patients were included with 90 day and 2 year mortality rates of 9.1% (n = 225) and 23.5% (n = 582) respectively. The models included patient characteristics, comorbidities and laboratory values. The stochastic gradient boosting algorithm had the best performance for 90 day mortality prediction, with good discrimination (c-statistic = 0.74), calibration (intercept = - 0.05, slope = 1.11) and Brier score (0.078). The elastic-net penalized logistic regression algorithm had the best performance for 2 year mortality prediction, with good discrimination (c-statistic = 0.70), calibration (intercept = - 0.03, slope = 0.89) and Brier score (0.16). The models were incorporated into a freely available web-based application, including individual patient explanations for interpretation of the model to understand the reasoning how the model made a certain prediction: https://sorg-apps.shinyapps.io/hipfracturemortality/
conclusionsThe clinical prediction models show promise in estimating mortality prediction in elderly femoral neck fracture patients. External and prospective validation of the models may improve surgeon ability when faced with the treatment decision-making. LEVEL OF EVIDENCE: Prognostic Level II.
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