A Prediction Modeling Based on the Hospital for Special Surgery (HSS) Knee Score for Poor Postoperative Functional Prognosis of Elderly Patients with Patellar Fractures.
Chenting YingChenyang GuoZhenlin WangYiming ChenJiahui SunXin QiYisheng ChenJie TaoPublished in: BioMed research international (2021)
Our predictive model is effective in predicting the risk of poor functional prognosis after patellar fracture surgery in the elderly by assessing high-risk factors such as advanced age, sarcopenia, and serum albumin levels. This prediction model can help clinicians to make individualized risk prediction, early identification of patients at high risk for poor functional outcome, and appropriate interventions.
Keyphrases
- total knee arthroplasty
- minimally invasive
- risk factors
- end stage renal disease
- coronary artery bypass
- community dwelling
- middle aged
- ejection fraction
- anterior cruciate ligament
- anterior cruciate ligament reconstruction
- newly diagnosed
- chronic kidney disease
- healthcare
- peritoneal dialysis
- patients undergoing
- prognostic factors
- physical activity
- patient reported outcomes
- percutaneous coronary intervention
- patient reported