Related Experiment Video
Updated: May 18, 2026
Minimally Invasive Isolated Limb Perfusion (MI-ILP) for Locally Advanced Melanomas and Sarcomas of the Extremity
Published on: January 31, 2025
Early mobilization after ilio-inguinal lymph node dissection for melanoma does not increase the wound complication
K P Wevers1, H P A M Poos, R J van Ginkel
1Division of Surgical Oncology, University of Groningen, University Medical Center Groningen, P.O. Box 30.001, 9700 RB Groningen, The Netherlands.
Aim:
Ilio-inguinal lymph node dissection for stage III melanoma is accompanied by a substantial amount of wound complications. Our treatment protocols changed in time in terms of postoperative bed rest prescriptions, being in chronological order Group A: 10 days with a Bohler Braun splint, Group B: 10 days without splint, and Group C: 5 days without splint. The aim of this study was to evaluate the effect of bed rest prescriptions on wound complications.
Methods:
For this study, we included all patients who underwent ilio-inguinal dissection for stage III melanoma in the period 1989-2011. Both univariate and multivariable analysis were performed to identify factors that were associated with occurrence of wound complications defined as wound infection, wound necrosis, and seroma.
Results:
Of the 204 patients analyzed, 99 suffered one or more wound complications: 51 wound infection, 29 wound necrosis, and 39 seroma. A wound complication occurred in 26 out of 64, 51 out of 89, and 22 out of 51 patients for Group A, B, and C, respectively. Univariate analysis showed age >55 (p = 0.001) and presence of comorbidity (p = 0.002) to be associated with higher incidence of wound complications. The 5 day bed rest protocol used in group C did not significantly increase the incidence of wound complications (ref = Group A: OR = 1.18; 95%CI = 0.52-2.68, p = 0.698).
Conclusion:
Early mobilization did not significantly increase the overall wound complication rate after ilio-inguinal lymph node dissection for melanoma. Age >55 and comorbidity were risk factors in univariate analysis.
