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      Effects of Different Local Analgesic Techniques on Postoperative Quality of Life and Pain in Patients Undergoing Total Hip Arthroplasty Under General Anesthesia: A Randomized Controlled Trial

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          Both lumbosacral plexus block (LSPB) and local infiltration analgesia (LIA) can provide postoperative analgesia for patients undergoing total hip arthroplasty (THA). The current study aimed to compare the differences between LSPB and LIA on postoperative pain and quality of life (QoL) in THA patients.


          A total of 117 patients aged 40–80 years, ASA I-III, were prospectively randomized into two groups: a general anesthesia plus LSPB (Group LSPB) and a general anesthesia plus LIA (Group LIA). Pain intensity and opioid consumption were recorded Within 72 hours after surgery. QoL was measured by EQ-5D and EQ-VAS questionnaires, and the incidence of postoperative pain was measured as part of the EQ-5D on day 1, day 3, day 7, and month 1, month 3, and month 6 after surgery.


          EQ-5D scores: Mobility, Self-Care, Usual Activities, Pain/Discomfort, and Anxiety/Depression were higher in Group LSPB versus Group LIA throughout six-month follow-ups (p = 0.039). The pain intensity was lower in Group LSPB than in Group LIA 0–12 h after surgery (2.41 vs 2.79, p = 0.01), but was higher in Group LSPB than in Group LIA 12–24 h (2.59 vs 2.05, p = 0.02) and 24–48 h (2.18 vs 1.73, p = 0.02) after surgery. There were no differences in opioid consumption between the groups during the first 72 postoperative hours. In the first month after surgery, more patients in Group LSPB than in Group LIA had no pain (52 vs 40, p = 0.04).


          Both LSPB and LIA can provide satisfactory postoperative analgesia. The LSPB is better than LIA for long-term QoL in THA patients undergoing general anesthesia.

          Clinical Trial Registration Number

          The Chinese Clinical Trial Registry (ChiCTR-INR-17012545).

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          Most cited references 23

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          Chinese time trade-off values for EQ-5D health states.

          To generate a Chinese general population-based three-level EuroQol five-dimensios (EQ-5D-3L) social value set using the time trade-off method.
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            Projected Volume of Primary Total Joint Arthroplasty in the U.S., 2014 to 2030

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              Effect sizes for interpreting changes in health status.

              Health status measures are being used with increasing frequency in clinical research. Up to now the emphasis has been on the reliability and validity of these measures. Less attention has been given to the sensitivity of these measures for detecting clinical change. As health status measures are applied more frequently in the clinical setting, we need a useful way to estimate and communicate whether particular changes in health status are clinically relevant. This report considers effect sizes as a useful way to interpret changes in health status. Effect sizes are defined as the mean change found in a variable divided by the standard deviation of that variable. Effect sizes are used to translate "the before and after changes" in a "one group" situation into a standard unit of measurement that will provide a clearer understanding of health status results. The utility of effect sizes is demonstrated from four different perspectives using three health status data sets derived from arthritis populations administered the Arthritis Impact Measurement Scales (AIMS). The first perspective shows how general and instrument-specific benchmarks can be developed and how they can be used to translate the meaning of clinical change. The second perspective shows how effect sizes can be used to compare traditional clinical measures with health status measures in a standard clinical drug trial. The third application demonstrates the use of effect sizes when comparing two drugs tested in separate drug trials and shows how they can facilitate this type of comparison. Finally, our health status results show how effect sizes can supplement standard statistical testing to give a more complete and clinically relevant picture of health status change. We conclude that effect sizes are an important tool that will facilitate the use and interpretation of health status measures in clinical research in arthritis and other chronic diseases.

                Author and article information

                J Pain Res
                J Pain Res
                Journal of Pain Research
                24 February 2021
                : 14
                : 527-536
                [1 ]Department of Anesthesiology, First Affiliated Hospital, Anhui Medical University , Hefei, Anhui, 230022, People’s Republic of China
                [2 ]Department of Neurology, First Affiliated Hospital, Anhui Medical University , Hefei, Anhui, 230022, People’s Republic of China
                Author notes
                Correspondence: Guang-hong Xu Department of Anesthesiology, First Affiliated Hospital, Anhui Medical University , 218 Jixi Road, Hefei, Anhui, 230022, People’s Republic of ChinaTel +86-551-62922344Fax +86 551 62923704 Email xuguanghong2004@163.com
                © 2021 Yang et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                Page count
                Figures: 1, Tables: 15, References: 23, Pages: 10
                Funded by: National Nature Science Foundation of China;
                Funded by: natural science research project of Anhui institution of higher learning, Anhui Provincial Education Department, China;
                This research was supported by the National Nature Science Foundation of China (Grant No. 81870837) and the natural science research project of Anhui institution of higher learning, Anhui Provincial Education Department, China, No. KJ2018A0189.
                Clinical Trial Report


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