Please use this identifier to cite or link to this item: http://hdl.handle.net/11547/11619
Title: Intelligent Fault Detection and Classification Schemes for Smart Grids Based on Deep Neural Networks
Authors: Alhanaf, Ahmed Sami
Issue Date: 2023
Series/Report no.: 16;22
Abstract: Objective: This study aimed to compare the right and left side laparoscopic donor nephrectomy (LDN) outcomes of a single center. Materials and Methods: The outcomes of patients who underwent LDN in our clinic between 2008 and 2020 were evaluated retrospectively. Two groups were consisted according to the side of the donor kidney. The gender, age, body mass index, duration of operation, amount of bleeding, warm ischemia time, drain removal time, and duration of hospitalization and complications were compared between groups. Results: A total of 314 patients were included in the study. Sixty-six patients underwent right LDN and 248 underwent left LDN. There was no difference between groups in terms of age, duration of operation, amount of bleeding, warm ischemia time, and complications (p>0.05). However, drain removal time and duration of hospitalization were longer in the left LDN group (p<0.05). Conclusions: The right LDN had similar intraoperative outcomes with the left LDN. However, failure on meticulous dissection of the lymphatic structures during left LDN might cause chylous drainage and prolonged hospitalization time.
URI: http://hdl.handle.net/11547/11619
Appears in Collections:Web Of Science

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