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      Effects of Sevoflurane versus Propofol on Endogenous Nitric Oxide Metabolism during Laparoscopic Surgery

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          Abstract

          For laparoscopic surgery, it is very difficult to assess the effect of different medicines used in the surgical procedure on the surgical results. In the past, doctors could use sevoflurane to numb and calm patients. For decades, this type of treatment has been fairly reliable and effective, but for laparoscopic surgery, the use of sevoflurane can lead to a wide range of blood glucose changes, so in recent years, sevoflurane compared to propofol in laparoscopic surgery on endogenous and nitrogen oxide metabolism has been studied more and more. In this paper, a variety of research methods were used to study the phenomenon of shock and excessive anesthesia encountered by patients in the treatment process. Through observation and drug experiment of patients in different treatment courses and treatment stages, patients were asked to use sevoflurane and propofol to conduct double-blind experiments on their own drug effects. At the same time, through the long-term observation of patients with different diseases and patients who need laparoscopic surgery, the nitrogen oxide metabolism in patients with sevoflurane compared with propofol endogenous was studied and analyzed. Through three groups of different conditions, the experimental group, the blind test group, and the control group were studied. To conclude, in laparoscopic surgery, the use of sevoflurane compared with propofol can have a good impact on the endogenous drug and nitrogen oxide metabolism. It can achieve a good effect on the anesthesia effect of surgery, the maintenance of patient's physical signs and heart rate, which is very beneficial to the operation. Conclusion. Sevoflurane compared with propofol has a good effect on endogenous nitrogen oxide metabolism in laparoscopic surgery.

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          Long-term oncologic outcomes of robotic low anterior resection for rectal cancer: a comparative study with laparoscopic surgery.

          The aim of this study is to evaluate long-term oncologic outcomes of robotic surgery for rectal cancer compared with laparoscopic surgery at a single institution.
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            Deep neuromuscular block to optimize surgical space conditions during laparoscopic surgery: a systematic review and meta-analysis.

            Neuromuscular block (NMB) is frequently used in abdominal surgery to improve surgical conditions by relaxation of the abdominal wall and prevention of sudden muscle contractions. The evidence supporting routine use of deep NMB is still under debate. We aimed to provide evidence for the superiority of routine use of deep NMB during laparoscopic surgery. We performed a systematic review and meta-analysis of studies comparing the influence of deep vs moderate NMB during laparoscopic procedures on surgical space conditions and clinical outcomes. Trials were identified from Medline, Embase, and Central databases from inception to December 2016. We included randomized trials, crossover studies, and cohort studies. Our search yielded 12 studies on the effect of deep NMB on the surgical space conditions. Deep NMB during laparoscopic surgeries improves the surgical space conditions when compared with moderate NMB, with a mean difference of 0.65 (95% confidence interval (CI): 0.47-0.83) on a scale of 1-5, and it facilitates the use of low-pressure pneumoperitoneum. Furthermore, deep NMB reduces postoperative pain scores in the postanaesthesia care unit, with a mean difference of - 0.52 (95% CI: -0.71 to - 0.32). Deep NMB improves surgical space conditions during laparoscopic surgery and reduces postoperative pain scores in the postanaesthesia care unit. Whether this leads to fewer intraoperative complications, an improved quality of recovery, or both after laparoscopic surgery should be pursued in future studies. The review methodology was specified in advance and registered at Prospero on July 27, 2016, registration number CRD42016042144.
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              Data Analytics Assisted Internet of Things Towards Building Intelligent Healthcare Monitoring Systems: IoT for Healthcare

              The rise in technology has had a tremendous impact in the field of healthcare. Moreover, the Internet of Things and ubiquitous computing when applied to the field of healthcare can ease the process by helping doctors better monitor their patients thereby enabling a speedy recovery. This paper proposes three systems to demonstrate the wide array of fields in healthcare and everyday life where Internet of Things can be applied. The first is a system to monitor infants while they sleep to detect crying. Once detected the system swings the cradle and also alerts the parents. The second system aims to help in rehabilitation of patients undergoing corrective knee surgery or other knee related procedures. This is done with the help of accelerometers attached to the joint which interfaces with a microcontroller and constantly monitors the knee movements. The last system aims to help the blind wear the right combination of clothing. This is achieved using image and pattern recognition.
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                Author and article information

                Contributors
                Journal
                J Healthc Eng
                J Healthc Eng
                JHE
                Journal of Healthcare Engineering
                Hindawi
                2040-2295
                2040-2309
                2021
                3 February 2021
                : 2021
                : 6691943
                Affiliations
                1Department of Anesthesiology, Xinle Hospital, Shijiazhuang 050700, Hebei, China
                2Room of Operating, Xinle Hospital, Shijiazhuang 050700, Hebei, China
                3Department of Urology, Xinle Hospital, Shijiazhuang 050700, Hebei, China
                4Department of Urology, Hebei Hospital of Traditional Chinese Medicine, Shijiazhuang 050700, Hebei, China
                5Department of Anesthesiology, The Third Hospital of Hebei Medical University, Shijiazhuang 050051, Hebei, China
                Author notes

                Academic Editor: Yang Gao

                Author information
                https://orcid.org/0000-0001-8177-3555
                Article
                10.1155/2021/6691943
                7875642
                153d6163-9b4c-4d0e-b72d-116f49784d39
                Copyright © 2021 Ning Wang et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 19 November 2020
                : 26 December 2020
                : 20 January 2021
                Categories
                Research Article

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