CONUT Score, Internal Fixation Failure, Intertrochanteric Fractures, Nomogram Model, Nutritional Status
Conditions
Keywords
Intertrochanteric Fractures, Internal fixation failure, CONUT score, Nomogram model, Nutritional Status
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.
Interventions
None listed
Sponsors
First Affiliated Hospital of Fujian Medical University
Study design
Observational model
CASE_CONTROL
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
No
Inclusion criteria
* 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.
Exclusion criteria
* 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.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The CONUT score | Before surgery |
| The PNI score | Before surgery |
| The NPS score | Before surgery |
Secondary
| Measure | Time frame |
|---|---|
| fracture type | Before surgery |
| serum albumin | Before surgery |
| osteoporosis | Before surgery |
| age | Before surgery |
| total cholesterol | Before surgery |
| lymphocyte count | Before surgery |
Countries
China
Outcome results
None listed