Validation and modification of existing bleeding complications prediction models for percutaneous renal biopsy: a prospective study

Incorporating real-time ultrasound data post-PRB significantly enhances the predictive accuracy and risk reclassification capability of bleeding risk models. These findings provide critical insights for guiding clinical management decisions in patients undergoing renal biopsy.

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Publication Details

Journal
PeerJ
Published
2024-12-18
DOI
https://doi.org/10.7717/peerj.18741
Citations
2
Primary Topic
Renal Diseases and Glomerulopathies
Type
article
Field-Weighted Citation Impact
0.68

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article

Validation and modification of existing bleeding complications prediction models for percutaneous renal biopsy: a prospective study

Di‐Fei Duan, Min Liu, Xing Li, Yu Yan et al.
2 citations
PeerJ
Renal Diseases and Glomerulopathies
0.68
article

Validation and modification of existing bleeding complications prediction models for percutaneous renal biopsy: a prospective study

Di‐Fei Duan, Min Liu, Xing Li, Yu Yan, Dengyan Ma
article en
2 citations

Abstract

Incorporating real-time ultrasound data post-PRB significantly enhances the predictive accuracy and risk reclassification capability of bleeding risk models. These findings provide critical insights for guiding clinical management decisions in patients undergoing renal biopsy.

PeerJVol. 12
Sichuan University (CN), West China Hospital of Sichuan University (CN)
Sichuan University
Peace, Justice and strong institutions
Openalex Percentile: Top 25%
Renal Diseases and Glomerulopathies
0.68
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