Predicting Survival in Thai Patients After Low Impact Hip Fracture Using Flexible Parametric Modelling: A Retrospective Cohort Study
| Autor: | Sattaya Rojanasthien, Tanyong Pipanmekaporn, Tanawat Vaseenon, Phichayut Phinyo, Pichitchai Atthakomol, Worapaka Manosroi |
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| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
medicine.medical_specialty Endocrinology Diabetes and Metabolism 030209 endocrinology & metabolism Disease Malignancy 03 medical and health sciences 0302 clinical medicine Risk Factors Internal medicine Humans Medicine Dementia Radiology Nuclear Medicine and imaging Orthopedics and Sports Medicine Time point Survival analysis Retrospective Studies Hip fracture Hip Fractures business.industry Mortality rate Retrospective cohort study Thailand medicine.disease 030101 anatomy & morphology business |
| Zdroj: | Journal of Clinical Densitometry. 24:603-612 |
| ISSN: | 1094-6950 |
| DOI: | 10.1016/j.jocd.2021.01.007 |
| Popis: | Predictive post-hip fracture mortality models have been presented for specific time points (in-hospital, 30-days or 1-year) and most provide marginal predictions based on the patient's risk group. However, the predictive model for individual survival probability following hip fracture is not available. This study aimed to develop a flexible parametric model for predicting individual survival probability for hip fracture patients. In this retrospective study, the medical charts of 765 Thai patients admitted to hospital with a hip fracture resulting from low-impact injury from January 2014 to December 2018 were reviewed. Predictors for all-cause mortality were identified using flexible parametric survival analysis and were used to develop the predictive model. The model was calibrated using a calibration graph and discrimination performance was evaluated using the C-statistic. Internal validity was assessed using bootstrapping. The overall mortality rate of the hip fracture patients was 14%. Predictors significantly associated with survival after hip fracture were age, active malignancy, dementia or Alzheimer's disease, chronic obstructive pulmonary disorder, diabetes mellitus, hemoglobin concentration, eGFR |
| Databáze: | OpenAIRE |
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