ArticleSAGE open medicine2020
Evaluation of Nottingham Hip Fracture Score, Age-Adjusted Charlson Comorbidity Index and the Physiological and Operative Severity Score for the enumeration of Mortality and morbidity as predictors of mortality in elderly neck of femur fracture patients.
Article in SAGE open medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Aspartate Aminotransferase-to-Platelet Ratio Index (APRI) as a Predictor of Mortality in Patients with Femoral Fracture: A Retrospective Cohort Analysis.Therapeutics and clinical risk management · 2026Article
- Validation and Adaptation of the Nottingham Hip Fracture Score to Predict 30-Day and 1-Year Mortality Among Italian Older Adults Hospitalized Due to Hip Fractures.Journal of clinical medicine · 2025Article
- Changing Dietary Patterns among Chinese Older Adults: A Rural-Urban Comparative Analysis (2008-2018).International journal of behavioral medicine · 2025Article
- Performance of the Nottingham hip fracture score (NHFS) as a predictor of 30-day mortality after proximal femur fracture in an older people Brazilian cohort.Scientific reports · 2025Article
- Article
- Validation of the Nottingham Hip Fracture Score in Predicting Postoperative Outcomes Following Hip Fracture Surgery.Orthopaedic surgery · 2023Article
- Predictability of Neutrophil to Lymphocyte Ratio in preoperative elderly hip fracture patients for post-operative short-term complications: a retrospective study.BMC musculoskeletal disorders · 2023Review
- Article
- Comparison of Prognostic Value of 10 Biochemical Indices at Admission for Prediction Postoperative Myocardial Injury and Hospital Mortality in Patients with Osteoporotic Hip Fracture.Journal of clinical medicine · 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
- Predictive Values of Preoperative Characteristics for 30-Day Mortality in Traumatic Hip Fracture Patients.Journal of personalized medicine · 2021Article
- Predicting 30-Day and 180-Day Mortality in Elderly Proximal Hip Fracture Patients: Evaluation of 4 Risk Prediction Scores at a Level I Trauma Center.Diagnostics (Basel, Switzerland) · 2021Article
- Predictors of In-Hospital Mortality in Older Adults Undergoing Hip Fracture Surgery: A Case-Control Study.Geriatric orthopaedic surgery & rehabilitation · 2021Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study evaluated the use of several risk prediction models in estimating short- and long-term mortality following hip fracture in an Australian population.
methodsData from 195 patients were retrospectively analysed and applied to three models of interest: the Nottingham Hip Fracture Score, the Age-Adjusted Charlson Comorbidity Index and the Physiological and Operative Severity Score for enUmeration of Mortality and Morbidity. The performance of these models was assessed with receiver operating characteristic curve as well as logistic regression modelling.
resultsThe median age of participants was 83 years and 69% were women. Ten percent of patients were deceased by 30 days, 25% at 6 months and 31% at 12 months post-operatively. While there was no statistically significant difference between the models, the Age-Adjusted Charlson Comorbidity Index had the largest area under the receiver operating characteristic curve for within 30 day and 12 month mortality, while the Nottingham Hip Fracture Score was largest for 6-month mortality. There was no evidence to suggest that the models were selecting a specific subgroup of our population, therefore, no indication was present to suggest that using multiple models would improve mortality prediction.
conclusionsWhile there was no statistically significant difference in mortality prediction, the Nottingham Hip Fracture Score is perhaps the best suited clinically, due to its ease of implementation. Larger prospective data collection across a variety of sites and its role in guiding clinical management remains an area of interest.
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