Abstract
Pedicle clamping (PC) during liver resection for colorectal metastases (CRLM) is used to reduce blood loss and allogeneic blood transfusion (ABT). The effect on long-term oncologic outcomes is still under debate. A retrospective analysis of the impact of PC on ABT-demand regarding overall (OS) and recurrence-free survival (RFS) in 336 patients undergoing curative resection for CRLM was carried out. Survival analysis was performed by both univariate and multivariate methods and propensity-score (PS) matching. PC was employed in 75 patients (22). No increased postoperative morbidity was monitored. While the overall ABT-rate was comparable (35 vs. 37, p = 0.786), a reduced demand for more than two ABT-units was observed (p = 0.046). PC-patients had better median OS (78 vs. 47 months, p = 0.005) and RFS (36 vs. 23 months, p = 0.006). Multivariate analysis revealed PC as an independent prognostic factor for OS (HR = 0.60; p = 0.009) and RFS (HR = 0.67; p = 0.017). For PC-patients, 1:2 PS-matching (N = 174) showed no differences in the overall ABT-rate compared to no-PC-patients (35 vs. 40, p = 0.619), but a trend towards reduced transfusion requirement (>2 ABT-units: 9 vs. 21, p = 0.052; >4 ABT-units: 2 vs. 11, p = 0.037) and better survival (OS: 78 vs. 44 months, p = 0.088; RFS: 36 vs. 24 months; p = 0.029). Favorable long-term outcomes and lower rates of increased transfusion demand were observed in patients with PC undergoing resection for CRLM. Further prospective evaluation of potential oncologic benefits of PC in these patients may be meaningful.
Dokumententyp: | Zeitschriftenartikel |
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Publikationsform: | Publisher's Version |
Fakultät: | Mathematik, Informatik und Statistik > Statistik
Mathematik, Informatik und Statistik > Statistik > Lehrstühle/Arbeitsgruppen > Methoden für fehlende Daten, Modellselektion und Modellmittelung Mathematik, Informatik und Statistik > Statistik > Lehrstühle/Arbeitsgruppen > Statistisches Beratungslabor |
Themengebiete: | 500 Naturwissenschaften und Mathematik > 510 Mathematik |
URN: | urn:nbn:de:bvb:19-epub-76073-1 |
ISSN: | 2072-6694 |
Sprache: | Englisch |
Dokumenten ID: | 76073 |
Datum der Veröffentlichung auf Open Access LMU: | 27. Mai 2021, 14:15 |
Letzte Änderungen: | 01. Jun. 2021, 12:06 |