ADL and CONUT for Predicting 1-year Mortality Risk in Older Adults After Hip Fracture

All-cause Mortality Clinical Trial

Official title: Beijing Tongren Hospital, Capital Medical University

Status Recruiting

Clinical Trial Summary

Hip fracture has a serious impact on the quality of life and even the survival of older adults. The multidisciplinary management of hip fracture has been shown to be effective in improving patient outcome and cost-effective in international studies. As geriatricians and members of a multi-disciplinary team（MDT）, we are aware of various scores in predicting the 1-year mortality risk in hospitalized older adults with multimorbidity. However, given the need for a deeper understanding of the preoperative status of elderly patients who were suffering from pain, tension, anxiety, delirium,etc., we hope to explore a simple, quick, objective, and accurate method for assessing the status of elderly patients with hip fractures to predict their survival risk.

Clinical Trial Description

This was a single-center retrospective cohort study which were approved by the Clinical Research Ethics Committee of Beijing Tongren Hospital, Capital Medical University (TREC2023-KY026). Demographic characteristics and medical parameters, such as age, gender, body mass index (BMI), comorbidities, hemoglobin , lymphocytes, C-reactive protein (CRP), fasting blood glucose, creatinine, total protein, albumin, triglycerides, total cholesterol and American Association of Anesthesiologists (ASA) were collected from the electronic medical record system. Controlling nutritional status (CONUT) was calculated from 3 variables: serum albumin concentration, total cholesterol concentration, and lymphocyte count, as previously reported. All enrolled patients were followed-up in an outpatients setting. Survival data were obtained via direct contact with patients or patients' caregiver by their physicians at the hospital , or via telephone interview of their family by dedicated coordinators and investigators. The follow-up lasted for one year and the last follow-up was ended on December 31, 2022. All analyses were performed using SPSS version 19.0 (SPSS, Chicago, IL, USA). ;

Related Conditions & MeSH terms

• All-cause Mortality

• NCT number: NCT05814172
• Study type: Observational
• Source: Beijing Tongren Hospital
• Contact: YING CHEN
• Phone: 008613621247560
• Email: trchenying@mail.ccmu.edu.cn
• Status: Recruiting
• Start date: October 2023
• Completion date: November 2023