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Comparison of Postoperative Pain, Anxiety, and Sleep Quality in Robotic-assisted and Manual Total Knee Replacement Surgery

Overview
Journal J Robot Surg
Publisher Springer
Date 2023 Apr 22
PMID 37086363
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Abstract

This study aimed to comparatively evaluate postoperative pain, anxiety, and sleep quality in patients after robotic-assisted and manual total knee replacement surgery. Patients who underwent either robotic or manual total knee replacement (TKR) surgery were analyzed in this cross-sectional observational study. Volunteers who were conscious, mentally healthy, without primary sleep disorders, without chronic uncontrolled diseases, 18 years of age or older, able to understand verbal warnings, and who agreed to participate in the study after being informed about the purpose of the study were included in the study. A total of 80 patients who underwent robotic-assisted TKR and 87 patients who underwent manual TKR were participated in the study. Data were collected using the "Patient Description Form" Visual Analog Scale, Richards-Campbell Sleep Scale, and State Anxiety Scale. All patients were operated on by the same physicians and received standard perioperative care. In the study, a statistically significant difference was found between the education level of the patients and the type of surgery (p = 0.007). According to the average scores, it was observed that the patients in the robotic group had higher pain levels, better sleep quality, and higher anxiety levels compared to the manual group. There was a significant correlation between the level of pain felt on the 1st and 2nd day (p =  < 0.001) and state anxiety levels with gender (p = 0.010) in the robotic group. For the robotic group, pain on day 2 was mostly affected by pain on day 1 and state anxiety. For the manual group, pain on day 2 was mostly affected by pain on day 1. According to our results, patients who underwent robotic-assisted TKR had higher pain levels, better sleep quality, and higher anxiety levels than patients who underwent manual TKR.

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Gau S, Lo S, Chen S, Liao W, Tsai R, Su Y In Vivo. 2024; 38(4):1957-1964.

PMID: 38936902 PMC: 11215629. DOI: 10.21873/invivo.13652.

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