Controlling Nutritional Status as a Superior Predictor of Fixation Failure in Intertrochanteric Fractures: Development and Validation of a Multicentre Nomogram
- Conditions
- Intertrochanteric FracturesInternal Fixation FailureNutritional StatusCONUT ScoreNomogram Model
- Registration Number
- NCT07159945
- Brief Summary
A multicentre retrospective cohort study was conducted within the Department of Orthopaedics at the First Affiliated Hospital of Fujian Medical University. This study reviewed 1,296 patients who underwent internal fixation treatment with ITF at the institution between 2020 and 2024. This study employed three distinct nutritional assessment tools for preoperative nutritional evaluation: CONUT, PNI, and NPS. By comparing the prevalence of malnutrition across these three scales and their relationship with FIF-ITF, an optimal predictive model combining INST with clinical factors was established.
- Detailed Description
A multicentre retrospective cohort study was conducted within the Department of Orthopaedics at the First Affiliated Hospital of Fujian Medical University. This study reviewed 1,296 patients who underwent internal fixation treatment with ITF at the institution between 2020 and 2024. Detailed documentation of patient information, including age, gender, affected side, bone mineral density (BMD), age-adjusted Charlson Comorbidity Index (aCCI), fracture type, internal fixation method, haematological parameters, implant-related complications (INSTs), and reasons for failure. This study employed three distinct nutritional assessment tools for preoperative nutritional evaluation: CONUT, PNI, and NPS. By comparing the prevalence of malnutrition across these three scales and their relationship with FIF-ITF, an optimal predictive model combining INST with clinical factors was established.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 1296
- 1. Diagnosis of ITF on the basis of medical history, symptoms, imaging data, etc.; 2. Treatment by internal fixation surgery; 3. Normal cognitive function; and 4. Informed consent obtained from the patient or family.
- 1. Significant missing data: In accordance with the Transparent Reporting of a Multivariate Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) statement, only cases with complete key variables (missing rate <5%) were included; 2. Severe preoperative systemic comorbidities (e.g., decompensated liver/renal failure, active pneumonia, malignancy, and cachexia) and/or a history of mental illness; and 3. Missing postoperative follow-up.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The CONUT score Before surgery The PNI score Before surgery The NPS score Before surgery
- Secondary Outcome Measures
Name Time Method serum albumin Before surgery fracture type Before surgery total cholesterol Before surgery lymphocyte count Before surgery age Before surgery osteoporosis Before surgery
Trial Locations
- Locations (1)
The First Affiliated Hospital of Fujian Medical University
🇨🇳Fuzhou, Fujian, China
The First Affiliated Hospital of Fujian Medical University🇨🇳Fuzhou, Fujian, China