Construction and accuracy analysis of a malnutrition prediction model for patients after proximal femoral nail anti rotation internal fixation
Objective To explore the related factors of postoperative nutritional risk in elderly patients with proximal femoral nail anti rotation (PFNA) internal fixation and establish a prediction model of malnutrition. Methods A total of 574 elderly patients who underwent PFNA internal fixation in the F...
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Editorial Office of Journal of Army Medical University
2025-05-01
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| Series: | 陆军军医大学学报 |
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| Online Access: | https://aammt.tmmu.edu.cn/html/202411118.html |
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| author | SHEN Lin BAI Xiaojia WANG Gang |
| author_facet | SHEN Lin BAI Xiaojia WANG Gang |
| author_sort | SHEN Lin |
| collection | DOAJ |
| description | Objective To explore the related factors of postoperative nutritional risk in elderly patients with proximal femoral nail anti rotation (PFNA) internal fixation and establish a prediction model of malnutrition. Methods A total of 574 elderly patients who underwent PFNA internal fixation in the First Medical Center of Chinese PLA General Hospital from January 2021 to June 2024 were included and divided into malnutrition group (n=389) and good nutrition group (n=185). The differences in 39 indicators in aspects of physiological, psychological, social, economic, environmental and medical fields were compared between the 2 groups. Logistic analysis was used to screen the nutritional risk factors, and then a nomogram model was constructed based on these factors. Results Advanced age, lower BMI, higher postoperative Self-Rating Anxiety Scale (SAS) score, less exercise before fracture, being farmers, higher economic pressure, lower preoperative albumin, preprotein and hemoglobin, and lower Barthel index before fracture were independent risk factors for nutritional risk in patients undergoing PFNA internal fixation (P<0.05). The nomogram prediction model based on the above factors had an AUC value of 0.995 (95%CI: 0.987~1.000) in predicting the risk of malnutrition in these patients. When the threshold probability >0.02, this model could be clinically beneficial in predicting the risk of postoperative malnutrition in patients after PFNA internal fixation. Conclusion Our nutritional risk prediction model based on age, BMI, economic pressure, pre-fracture exercise and preoperative albumin and other indicators is constructed for the elderly patients after PFNA internal fixation, and the model has high accuracy and clinical application value.
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| format | Article |
| id | doaj-art-827c9910cc3b4a8ab2920bb0a0b6d094 |
| institution | Kabale University |
| issn | 2097-0927 |
| language | zho |
| publishDate | 2025-05-01 |
| publisher | Editorial Office of Journal of Army Medical University |
| record_format | Article |
| series | 陆军军医大学学报 |
| spelling | doaj-art-827c9910cc3b4a8ab2920bb0a0b6d0942025-08-20T03:48:19ZzhoEditorial Office of Journal of Army Medical University陆军军医大学学报2097-09272025-05-0147101092110110.16016/j.2097-0927.202411118Construction and accuracy analysis of a malnutrition prediction model for patients after proximal femoral nail anti rotation internal fixationSHEN Lin 0BAI Xiaojia1WANG Gang2Department of Dermatology Department of Basic Courses， Noncommissioned Officer School， Army Medical University （Third Military Medical University）， Shijiazhuang， HebeiDepartment of RehabilitationObjective To explore the related factors of postoperative nutritional risk in elderly patients with proximal femoral nail anti rotation (PFNA) internal fixation and establish a prediction model of malnutrition. Methods A total of 574 elderly patients who underwent PFNA internal fixation in the First Medical Center of Chinese PLA General Hospital from January 2021 to June 2024 were included and divided into malnutrition group (n=389) and good nutrition group (n=185). The differences in 39 indicators in aspects of physiological, psychological, social, economic, environmental and medical fields were compared between the 2 groups. Logistic analysis was used to screen the nutritional risk factors, and then a nomogram model was constructed based on these factors. Results Advanced age, lower BMI, higher postoperative Self-Rating Anxiety Scale (SAS) score, less exercise before fracture, being farmers, higher economic pressure, lower preoperative albumin, preprotein and hemoglobin, and lower Barthel index before fracture were independent risk factors for nutritional risk in patients undergoing PFNA internal fixation (P<0.05). The nomogram prediction model based on the above factors had an AUC value of 0.995 (95%CI: 0.987~1.000) in predicting the risk of malnutrition in these patients. When the threshold probability >0.02, this model could be clinically beneficial in predicting the risk of postoperative malnutrition in patients after PFNA internal fixation. Conclusion Our nutritional risk prediction model based on age, BMI, economic pressure, pre-fracture exercise and preoperative albumin and other indicators is constructed for the elderly patients after PFNA internal fixation, and the model has high accuracy and clinical application value. https://aammt.tmmu.edu.cn/html/202411118.htmlproximal femoral nail antirotationinternal fixationnutritional riskprediction model |
| spellingShingle | SHEN Lin BAI Xiaojia WANG Gang Construction and accuracy analysis of a malnutrition prediction model for patients after proximal femoral nail anti rotation internal fixation 陆军军医大学学报 proximal femoral nail antirotation internal fixation nutritional risk prediction model |
| title | Construction and accuracy analysis of a malnutrition prediction model for patients after proximal femoral nail anti rotation internal fixation |
| title_full | Construction and accuracy analysis of a malnutrition prediction model for patients after proximal femoral nail anti rotation internal fixation |
| title_fullStr | Construction and accuracy analysis of a malnutrition prediction model for patients after proximal femoral nail anti rotation internal fixation |
| title_full_unstemmed | Construction and accuracy analysis of a malnutrition prediction model for patients after proximal femoral nail anti rotation internal fixation |
| title_short | Construction and accuracy analysis of a malnutrition prediction model for patients after proximal femoral nail anti rotation internal fixation |
| title_sort | construction and accuracy analysis of a malnutrition prediction model for patients after proximal femoral nail anti rotation internal fixation |
| topic | proximal femoral nail antirotation internal fixation nutritional risk prediction model |
| url | https://aammt.tmmu.edu.cn/html/202411118.html |
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