A Nomogram for Predicting Perirenal Hematoma After Percutaneous Nephrolithotomy

BackgroudPerirenal hematoma (PRH) is a notable complication following percutaneous nephrolithotomy (PCNL) with significant implications for patient outcomes. This study aimed to develop a nomogram predictive model for PRH after PCNL.MethodsRetrospective data from patients who underwent PCNL were analyzed. Patient demographics, stone characteristics, and operative details were assessed for their association with PRH using univariate and multivariate analyses. A nomogram was constructed based on identified predictors.ResultsAmong 1047 patients, 6.2% developed PRH. Factors significantly associated with PRH included age, urine culture, stone surface area, operative time and estimate blood loss. These factors were incorporated into the nomogram, providing a user-friendly tool for preoperative risk assessment of PRH following PCNL.ConclusionWe developed a nomogram predictive model for PRH after PCNL, facilitating individualized risk assessment and preventive strategies. Implementation of this nomogram may enhance patient safety and optimize surgical outcomes in PCNL procedures. Further validation studies are warranted to assess its generalizability and accuracy.

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Publication Details

Journal
Surgical Innovation
Published
2025-01-09
DOI
https://doi.org/10.1177/15533506241313173
Citations
1
Primary Topic
Kidney Stones and Urolithiasis Treatments
Type
article
Field-Weighted Citation Impact
1.52
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article

A Nomogram for Predicting Perirenal Hematoma After Percutaneous Nephrolithotomy

Juntao Tan, Chi Shian Feng, Qihua Jiang, Zhihua Li et al.
1 citations
Surgical Innovation
Kidney Stones and Urolithiasis Treatments
1.52
article

A Nomogram for Predicting Perirenal Hematoma After Percutaneous Nephrolithotomy

Juntao Tan, Chi Shian Feng, Qihua Jiang, Zhihua Li, Bei Mo
article en
1 citations

Abstract

BackgroudPerirenal hematoma (PRH) is a notable complication following percutaneous nephrolithotomy (PCNL) with significant implications for patient outcomes. This study aimed to develop a nomogram predictive model for PRH after PCNL.MethodsRetrospective data from patients who underwent PCNL were analyzed. Patient demographics, stone characteristics, and operative details were assessed for their association with PRH using univariate and multivariate analyses. A nomogram was constructed based on identified predictors.ResultsAmong 1047 patients, 6.2% developed PRH. Factors significantly associated with PRH included age, urine culture, stone surface area, operative time and estimate blood loss. These factors were incorporated into the nomogram, providing a user-friendly tool for preoperative risk assessment of PRH following PCNL.ConclusionWe developed a nomogram predictive model for PRH after PCNL, facilitating individualized risk assessment and preventive strategies. Implementation of this nomogram may enhance patient safety and optimize surgical outcomes in PCNL procedures. Further validation studies are warranted to assess its generalizability and accuracy.

Surgical InnovationVol. 32(2)
Third Hospital of Nanchang (CN), Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine (CN)
Good health and well-being
Openalex Percentile: Top 23%
Kidney Stones and Urolithiasis Treatments
1.52
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A Nomogram for Predicting Perirenal Hematoma After Percutaneous Nephrolithotomy — Juntao Tan, Chi Shian Feng, et al. · Surgical Innovation (2025) | TGRS Research Map | TGRS