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

NCT ID: NCT05814172

Last Updated: 2023-10-31

Basic Information

• Recruitment Status: UNKNOWN
• Total Enrollment: 303 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2023-10-31
• Study Completion Date: 2023-11-30

Brief 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.

Detailed 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).

Conditions

All-cause Mortality

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: RETROSPECTIVE

Study Groups

Death by 1 y

patients who dieded within 1-year after discharge due to hip fracture surgery

no intervention

Intervention Type: OTHER

no intervention

Alive at 1 y

patients who survived 1-year after discharge due to hip fracture surgery

no intervention

Intervention Type: OTHER

no intervention

Interventions

no intervention

no intervention

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

1. patients aged ≧65 years old;

2. patients diagnosed with hip fracture, including femoral neck fracture, femoral intertrochanteric fracture, and femoral subtrochanteric fracture;

3. patients whose injury was within 21 days of presentation.

Exclusion Criteria

1. patients aged <65 years old;

2. patients with pathological fractures due to tumor metastasis or infection or inherited bone disorder;

3. patients with avascular necrosis of femoral head;

4. patients with periprosthetic fractures;

5. old fracture patients treated more than 21 days from injury;

6. patients with severe trauma or fracture in other parts;

7. patients and their families who could not bear the surgical risk and are unwilling to receive surgical treatment;

8. patients died in hospital.

• Minimum Eligible Age: 65 Years
• Maximum Eligible Age: 110 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Beijing Tongren Hospital

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

QI LIU

Role: STUDY_DIRECTOR

Beijing Tongren Hospital

Locations

Beijing Tongren Hospital, Capital Medical University

Beijing, Beijing Municipality, China

Site Status: RECRUITING

Countries

China

Central Contacts

YING CHEN

Role: CONTACT

trchenying@mail.ccmu.edu.cn

008613621247560

Facility Contacts

YING CHEN

Role: primary

Other Identifiers

TREC2023-KY026

Identifier Type: -

Identifier Source: org_study_id