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Autor(en) / Beteiligte
Titel
Purely Off-Clamp Partial Nephrectomy: Robotic Approach Better than Open Using a Pentafecta Outcome with Propensity Score Matching
Ist Teil von
  • Journal of clinical medicine, 2022-10, Vol.11 (21), p.6241
Ort / Verlag
Switzerland: MDPI AG
Erscheinungsjahr
2022
Link zum Volltext
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • Partial nephrectomy (PN) is the gold standard treatment for localized renal masses. Robot-assisted PN (RAPN) has overcome laparoscopy’s technical limitations, greatly expanding the indications of minimally invasive PN, which is dominated by renal artery clamping in almost all published series. We compared off-clamp RAPN (OFFC-RAPN) with the open approach (OFFC-OPN) using propensity score (PS) matching. A favourable pentafecta outcome was defined as a combination of no positive surgical margins (PSM), no complications of Clavien−Dindo (CD) grade ≥ 3, post-operative eGFR loss <10%, length of hospital stay (LOS) ≤ 5 days and estimated blood loss (EBL) < 200 mL. A total of 340 consecutive patients were included. The PS-matched cohort included 142 patients: 71 matched pairs well-balanced for all covariates. The OFFC-RAPN group showed significantly shorter operative time (149.8 vs. 173.9 min, p = 0.003), lower EBL (182.1 vs. 329.3 mL, p = 0.001), and shorter LOS (5.8 vs. 6.9 days, p = 0.02), with a higher proportion of patients with LOS ≤ 5 days (57.7% vs. 23.9%, p < 0.001). No significant differences were found for PSM rate (2.8% vs. 8.4%, p = 0.27), CD > 2 complication rate (4.2% vs. 2.8%, p = 1.00) and mean ± SD eGFR change (−0.06 ± 0.3 vs. −0.8 ± 0.3, p = 0.5). Pentafecta was achieved in 56.3% and 21.1% in the OFFC-RAPN and OFFC-OPN series, respectively (p < 0.0001). On multivariable analysis, surgical approach and BMI proved to be independent predictors of achieving pentafecta. After adjusting for potential treatment selection bias, OFFC-RAPN outperformed OFFC-OPN for important peri-operative outcomes, without compromising oncological and functional safety.
Sprache
Englisch
Identifikatoren
ISSN: 2077-0383
eISSN: 2077-0383
DOI: 10.3390/jcm11216241
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_dc5f189bd8e947d8a4e6cbb743de295e

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