Anesthesia management for robotic assisted radical prostatectomy. Single center experince

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Mehmet Emin Ince
Gokhan Ozkan
Nadide Ors
Murat Zor
Vedat Yıldırım

Abstract

AIM: The aim of this study was to present our experiences for anesthesia management in patients undergoing robot-assisted radical prostatectomy (RARP) in light of current literature data.


MATERIAL AND METHODS: This clinical retrospective study included 103 patients who underwent robot-assisted radical prostatectomy. All patient data were obtained from the patient files and anesthesia follow-up forms. Demographic datas, intraoperative fluids, blood products requirement and blood gas parameters were recorded.


RESULTS: A total 15 of 103 patients data were lack, the remaining 88 patients were evaluated. Combination of crystalloid and colloid was used for intravenous fluid management. About 11% of patients required transfusion during surgery. The mean pH and pO2 values of the patients were observed to decrease whereas pCO2 and lactate values increased.


DISCUSSION: Radical Prostatectomy can be performed either using open technique as a traditional approach or laparoscopic or robot-assisted technique as a minimally invasive approach. Today, minimally invasive approaches have replaced traditional open prostatectomy. Anaesthesia management of these minimally invasive techniques is very different and challenging from open technique in many aspects.


CONCLUSION: Although minimally invasive techniques have good surgical outcomes such as less blood loss, smaller surgical incision, and shorter hospitalization, these techniques bring new problems that anesthesiologists have to deal with. Increased RARP operations has led to the anesthesiologists more likely to encounter perioperative problems.

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How to Cite
Ince, Mehmet Emin, et al. “Anesthesia Management for Robotic Assisted Radical Prostatectomy. Single Center Experince”. Annali Italiani Di Chirurgia, vol. 91, no. 2, Mar. 2020, pp. 196-00, https://annaliitalianidichirurgia.it/index.php/aic/article/view/1511.
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