Validated Models to Estimate Probability of Dialysis After Nephrectomy and Partial Nephrectomy

Validated Models to Estimate Probability of Dialysis After Nephrectomy and Partial Nephrectomy

Postoperative kidney failure requiring dialysis significantly increases in-hospital and long-term mortality. A major challenge in nephrectomy is estimating the probability of postoperative dialysis. Because of its rarity (0.5% to 2.1%),3,4 to our knowledge, there are no validated models to estimate...

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Veröffentlicht in:Archives of surgery (Chicago. 1960) 2021-10, Vol.156 (10), p.976-979
Hauptverfasser: Wang, Luke L, Samson, Kaeli K, Boyle, Shawna L
Format: Artikel
Sprache:eng
Schlagworte:
Aged
Cohort Studies
Female
Hemodialysis
Humans
Kidney diseases
Letters
Male
Middle Aged
Nephrectomy - adverse effects
Nomograms
Online First
Postoperative Complications - etiology
Postoperative Complications - therapy
Postoperative period
Predictive Value of Tests
Probability
Renal Dialysis
Renal Insufficiency - etiology
Renal Insufficiency - therapy
Research Letter
Risk Assessment
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Zusammenfassung:Postoperative kidney failure requiring dialysis significantly increases in-hospital and long-term mortality. A major challenge in nephrectomy is estimating the probability of postoperative dialysis. Because of its rarity (0.5% to 2.1%),3,4 to our knowledge, there are no validated models to estimate this probability. We developed externally validated nomograms to compute this probability after nephrectomy and partial nephrectomy (PN).
ISSN:2168-6254
2168-6262
DOI:10.1001/jamasurg.2021.2331