Literature DB >> 30993524

Pre-operative factors that predict trifecta and pentafecta in robotic assisted partial nephrectomy.

Amanda E Kahn1, Ashley M Shumate1, Colleen T Ball2, David D Thiel3.   

Abstract

To prospectively evaluate factors that predict achievement of trifecta and pentafecta following robotic-assisted partial nephrectomy (RAPN). Clinical variables of 330 RAPNs performed for a single renal tumor were analyzed for association with post-operative trifecta and pentafecta achievement. Trifecta was defined as warm ischemia time (WIT) ≤ 25 min, negative surgical margins, and no post-operative complications ≥ Clavien grade 3. Pentafecta was defined as trifecta criteria plus > 90% preservation of estimated glomerular filtration rate (eGFR) and no stage upgrade of chronic kidney disease from pre-operative up to 12 months post-RAPN. After adjustment for multiple testing, p < 0.007 was considered statistically significant. Among 330 patients, trifecta was achieved in 280 patients (84.8%). Among the 152 patients with eGFR available at 12 months following RAPN, pentafecta was achieved in 39 (25.8%). A lower R.E.N.A.L. score was associated with increased odds of achieving trifecta (OR 3.38, p < 0.001) and pentafecta (OR 2.83 p < 0.001). No other pre-operative characteristics were associated with trifecta or pentafecta. Patients who achieved trifecta had a lower median estimated blood loss (EBL) (300 vs 400, p = 0.029) and shorter operative time (223 vs 234 min, p = 0.004) compared to patients without trifecta. There were no significant differences in EBL or operative time in patients who achieved or failed to achieve pentafecta. R.E.N.A.L score is the only pre-operative variable associated with achieving trifecta and pentafecta following RAPN. Lower EBL and operative time are associated with trifecta but not pentafecta outcomes.

Entities:  

Keywords:  Pentafecta; R.E.N.A.L. score; Robotic assisted partial nephrectomy; Robotic surgery; Trifecta

Year:  2019        PMID: 30993524     DOI: 10.1007/s11701-019-00958-7

Source DB:  PubMed          Journal:  J Robot Surg        ISSN: 1863-2483


  16 in total

1.  A simulation study of the number of events per variable in logistic regression analysis.

Authors:  P Peduzzi; J Concato; E Kemper; T R Holford; A R Feinstein
Journal:  J Clin Epidemiol       Date:  1996-12       Impact factor: 6.437

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4.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
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5.  National Kidney Foundation practice guidelines for chronic kidney disease: evaluation, classification, and stratification.

Authors:  Andrew S Levey; Josef Coresh; Ethan Balk; Annamaria T Kausz; Adeera Levin; Michael W Steffes; Ronald J Hogg; Ronald D Perrone; Joseph Lau; Garabed Eknoyan
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Authors:  Alexander Kutikov; Robert G Uzzo
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Authors:  Andrew J Davidiuk; Alexander S Parker; Colleen S Thomas; Bradley C Leibovich; Erik P Castle; Michael G Heckman; Kaitlynn Custer; David D Thiel
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Authors:  Homayoun Zargar; Mohamad E Allaf; Sam Bhayani; Michael Stifelman; Craig Rogers; Mark W Ball; Jeffrey Larson; Susan Marshall; Ramesh Kumar; Jihad H Kaouk
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10.  Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey.

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