收藏切换
Construction and accuracy analysis of a malnutrition prediction model for patients after proximal femoral nail anti rotation internal fixation
收藏切换
Lin SHEN1, Xiaojia BAI2, Gang WANG3, Lijuan XUE4, Chunhua ZHANG5, Xia LI3
Journal of Army Medical University | 2025, 47(10) : 1092 - 1101
Less
收藏切换
Journal of Army Medical University | 2025, 47(10): 1092-1101
• Clinical Medicine •
Construction and accuracy analysis of a malnutrition prediction model for patients after proximal femoral nail anti rotation internal fixation
Full
Lin SHEN1, Xiaojia BAI2, Gang WANG3, Lijuan XUE4, Chunhua ZHANG5, Xia LI3
Affiliations
  • 1Department of Dermatology the First Medical Center,Chinese PLA General Hospital,
  • 2Department of Rehabilitation the First Medical Center,Chinese PLA General Hospital,
  • 3Department of Vascular Surgery,the First Medical Center,Chinese PLA General Hospital,
  • 4Department of Basic Courses,Noncommissioned Officer School,Army Medical University (Third Military Medical University),Shijiazhuang,Hebei
  • 5Department of Plastic and Cosmetic Surgery,Southern Hospital,Southern Medical University,Guangzhou,Guangdong,China
Published: 2025-05-30 doi: 10.16016/j.2097-0927.202411118
Outline
收藏切换
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.

proximal femoral nail antirotation  /  internal fixation  /  nutritional risk  /  prediction model
申琳, 白小嘉, 王刚, 薛丽娟, 张春华, 李霞. PFNA内固定术后患者营养不良预测模型构建及其准确性分析. 陆军军医大学学报, 2025 , 47 (10) : 1092 -1101 . DOI: 10.16016/j.2097-0927.202411118
Lin SHEN, Xiaojia BAI, Gang WANG, Lijuan XUE, Chunhua ZHANG, Xia LI. Construction and accuracy analysis of a malnutrition prediction model for patients after proximal femoral nail anti rotation internal fixation[J]. Journal of Army Medical University, 2025 , 47 (10) : 1092 -1101 . DOI: 10.16016/j.2097-0927.202411118
Year 2025 volume 47 Issue 10
18
6
Cite this Article
BibTeX
Article Info
doi: 10.16016/j.2097-0927.202411118
  • Receive Date:2024-11-26
  • Online Date:2026-10-28
  • Published:2025-05-30
Article Data
Affiliations
History
  • Received:2024-11-26
  • Revised:2025-03-05
Affiliations
    1Department of Dermatology the First Medical Center,Chinese PLA General Hospital,
    2Department of Rehabilitation the First Medical Center,Chinese PLA General Hospital,
    3Department of Vascular Surgery,the First Medical Center,Chinese PLA General Hospital,
    4Department of Basic Courses,Noncommissioned Officer School,Army Medical University (Third Military Medical University),Shijiazhuang,Hebei
    5Department of Plastic and Cosmetic Surgery,Southern Hospital,Southern Medical University,Guangzhou,Guangdong,China
References
Share
https://castjournals.cast.org.cn/joweb/ljjydxxb/EN/10.16016/j.2097-0927.202411118
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT