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Developing a Nomogram-Based Prediction Model for Malnutrition Risk in Preoperative Elderly Patients with Hip
Yi-Ping Li1, Mei Xu1, Hao-Fen Xie2
1Department of Orthopaedic Surgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, 315010, People's Republic of China.
Journal of Multidisciplinary Healthcare
|January 6, 2025
Summary
Preoperative malnutrition is common in elderly hip fracture patients. A new nomogram model accurately identifies malnutrition risk factors, aiding early clinical detection and intervention.
Area of Science:
- Geriatric Medicine
- Orthopedic Surgery
- Nutritional Science
Background:
- Preoperative malnutrition is a significant concern in elderly patients with hip fractures, potentially impacting recovery and outcomes.
- Identifying risk factors is crucial for timely intervention and improved patient management.
Purpose of the Study:
- To evaluate risk factors for preoperative malnutrition in elderly patients with hip fractures.
- To develop and validate a predictive model for malnutrition risk in this population.
Main Methods:
- Retrospective analysis of 182 elderly patients (≥60 years) with hip fractures.
- Nutritional status assessed using Global Leadership Initiative on Malnutrition criteria.
- Risk factors identified via univariate and logistic regression; a nomogram model was developed and validated.
Main Results:
- Malnutrition identified in 39.01% of patients.
- Independent risk factors included age, BMI, comorbidities, hemoglobin, and serum albumin.
- The developed nomogram model showed strong predictive performance (AUC = 0.886).
Conclusions:
- The proposed nomogram is a valuable tool for accurate and timely identification of malnutrition risk in elderly hip fracture patients.
- Early detection can facilitate targeted interventions to mitigate risks associated with malnutrition.
