Establishment of a prediction model for long-term infections in patients undergoing peritoneal dialysis

Advanced age, lower PNI, and longer surgical incision length are closely linked to the occurrence of infections in PD individuals. The nomogram model which was based on this study showed high efficacy in predicting long-term infections and can serve as a reference to recognize individuals with a high likelihood of complications for medical caregivers as early as possible.

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Publication Details

Journal
Frontiers in Medicine
Published
2025-06-17
DOI
https://doi.org/10.3389/fmed.2025.1596403
Citations
1
Primary Topic
Dialysis and Renal Disease Management
Type
article
Field-Weighted Citation Impact
1.43
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article

Establishment of a prediction model for long-term infections in patients undergoing peritoneal dialysis

Lu Qian, Yan Feng, Shengnan Dai, J. F. Sun et al.
1 citations
Frontiers in Medicine
Dialysis and Renal Disease Management
1.43
article

Establishment of a prediction model for long-term infections in patients undergoing peritoneal dialysis

Lu Qian, Yan Feng, Shengnan Dai, J. F. Sun, Qiuhua Zhang, Chun Yang, Mengmeng Liu
article en
1 citations

Abstract

Advanced age, lower PNI, and longer surgical incision length are closely linked to the occurrence of infections in PD individuals. The nomogram model which was based on this study showed high efficacy in predicting long-term infections and can serve as a reference to recognize individuals with a high likelihood of complications for medical caregivers as early as possible.

Frontiers in MedicineVol. 12
Wuxi No.2 People's Hospital (CN), Wuxi People's Hospital (CN)
Openalex Percentile: Top 19%
Dialysis and Renal Disease Management
1.43
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