ArticleJournal of personalized medicine2021
Predictive Values of Preoperative Characteristics for 30-Day Mortality in Traumatic Hip Fracture Patients.
Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- 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
- Systematic review and meta-analysis of preoperative predictors for early mortality following hip fracture surgery.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024Pooled it
- Artificial Intelligence for Hip Fracture Detection and Outcome Prediction: A Systematic Review and Meta-analysis.JAMA network open · 2023Pooled it
- Integrated assessment of preoperative nutritional, inflammatory, and metabolic biomarkers and early outcomes in geriatric hip fracture surgery: a retrospective matched study.BMC geriatrics · 2026Article
- Predicting 90-Day Mortality After Geriatric Hip Fracture Using Combined Preoperative and Perioperative Risk Factors.Geriatric orthopaedic surgery & rehabilitation · 2026Article
- Dynamic frailty risk prediction in elderly hip replacement: a deep learning approach to personalized rehabilitation.BMC medical informatics and decision making · 2025Article
- Application of artificial intelligence in trauma orthopedics: Limitation and prospects.World journal of clinical cases · 2023Review
- The prediction of early mortality following hip fracture surgery in patients aged 90 years and older: the Almelo Hip Fracture Score 90 (AHFSOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2023Article
- Predictors of outcomes in geriatric patients with moderate traumatic brain injury after ground level falls.Frontiers in medicine · 2023Article
- Mortality risk stratification in isolated severe traumatic brain injury using the revised cardiac risk index.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2022Article
- Dementia is a surrogate for frailty in hip fracture mortality prediction.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2022Article
- Modifiable and non-modifiable risk factors in hip fracture mortality in Norway, 2014 to 2018 : a linked multiregistry study.The bone & joint journal · 2022Article
- Developing and validating a scoring system for measuring frailty in patients with hip fracture: a novel model for predicting short-term postoperative mortality.Trauma surgery & acute care open · 2022Article
- Mode of anesthesia is not associated with outcomes following emergency hip fracture surgery: a population-level cohort study.Trauma surgery & acute care open · 2022Article
- Predicting 1-Year Mortality after Hip Fracture Surgery: An Evaluation of Multiple Machine Learning Approaches.Journal of personalized medicine · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hip fracture patients have a high risk of mortality after surgery, with 30-day postoperative rates as high as 10%. This study aimed to explore the predictive ability of preoperative characteristics in traumatic hip fracture patients as they relate to 30-day postoperative mortality using readily available variables in clinical practice. All adult patients who underwent primary emergency hip fracture surgery in Sweden between 2008 and 2017 were included in the analysis. Associations between the possible predictors and 30-day mortality was performed using a multivariate logistic regression (LR) model; the bidirectional stepwise method was used for variable selection. An LR model and convolutional neural network (CNN) were then fitted for prediction. The relative importance of individual predictors was evaluated using the permutation importance and Gini importance. A total of 134,915 traumatic hip fracture patients were included in the study. The CNN and LR models displayed an acceptable predictive ability for predicting 30-day postoperative mortality using a test dataset, displaying an area under the ROC curve (AUC) of as high as 0.76. The variables with the highest importance in prediction were age, sex, hypertension, dementia, American Society of Anesthesiologists (ASA) classification, and the Revised Cardiac Risk Index (RCRI). Both the CNN and LR models achieved an acceptable performance in identifying patients at risk of mortality 30 days after hip fracture surgery. The most important variables for prediction, based on the variables used in the current study are age, hypertension, dementia, sex, ASA classification, and RCRI.
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