| Literature DB >> 36213578 |
Xiao-Lin Zeng1, Jun-Hua Liao2, Hui-Sheng Zhong3, Xin-Hua Yin1, Rui Wang1, Jiu-Ping Liang4, Zheng-Sheng Zhang5.
Abstract
In this study, we performed a meta-analysis to investigate the anesthesia effects of remifentanil plus dexmedetomidine versus remifentanil alone in cardiac surgery. Literature search was performed on PubMed, Web of Science, Embase, China Knowledge Infrastructure, Wanfang Data, and other databases for relevant literature published in English or Chinese before October 2021. A total of 17 studies, consisting of 1350 patients, were included in this study. Of these, 10 studies showed that remifentanil plus dexmedetomidine had a good anesthesia effect in cardiac surgery (OR = 3.61, 95% CI: 1.73, 7.52, P < 0.001), and 8 studies showed that the Ramsay score test of anesthesia (SMD = 0.88; 95% CI: -0.77, 2.53; P < 0.001) in the experimental group was better than that in the control group. In addition, changes in the hemodynamic heart rate (SMD = -0.74; 95% CI: -1.41, -0.07; P < 0.001) and mean arterial pressure (SMD = -0.18; 95% CI: -0.72, 0.36; P < 0.001) of the two groups of anesthesia were counted in 17 studies, which also showed that the anesthesia effect of remifentanil plus dexmedetomidine was good. Thus, remifentanil plus dexmedetomidine may be a more promising option for cardiac surgery anesthesia than remifentanil alone.Entities:
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Year: 2022 PMID: 36213578 PMCID: PMC9534643 DOI: 10.1155/2022/1077980
Source DB: PubMed Journal: Comput Math Methods Med ISSN: 1748-670X Impact factor: 2.809
Figure 1Flowchart of the study selection process for identifying eligible studies.
The basic characteristics of the included literature.
| No. | First author | Year | Country | Sample time (year.month) | No. patients treat/con | Age (mean ± SD) | Sex ratio (male/female) | Study design | Outcome measured | ||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Treatment group | Control group | Treatment group | Control group | ||||||||
| 1 | Lei Jiaxiu [ | 2018 | China | 2017.3~2017.9 | 75/75 | 43.92 ± 11.28 | 43.58 ± 11.73 | 43/32 | 41/34 | Retrospective | ①+② |
| 2 | Huo Chengjuan [ | 2019 | China | 2017.6~2018.8 | 60/60 | 46.56 ± 2.48 | 46.53 ± 2.42 | 37/23 | 36/24 | Retrospective | ① + ② + ③ |
| 3 | Hao Meiling [ | 2017 | China | 2014.1~2015.12 | 30/30 | 46.0 ± 2.0 | 45.5 ± 2.1 | 17/13 | 19/11 | Retrospective | ① + ② |
| 4 | Ma Yong [ | 2016 | China | 2012~2015 | 50/50 | 35 ± 1.4 | 36 ± 1.1 | 30/20 | 28/22 | Retrospective | ① + ② + ③ |
| 5 | Liang Yan [ | 2018 | China | 2015.10~2017.10 | 33/33 | 38.74 ± 2.39 | 38.56 ± 2.21 | 19/14 | 20/13 | Retrospective | ① + ② |
| 6 | Zhong Baolin [ | 2015 | China | 2013.4~2015.1 | 50/50 | 44.13 ± 7.13 | 44.01 ± 7.24 | 28/22 | 26/24 | Retrospective | ① + ② + ③ |
| 7 | Jing Guangxia [ | 2014 | China | 2012.1~2014.1 | 60/60 | 49.60 ± 1.82 | 47.70 ± 1.77 | 33/27 | 33/27 | Retrospective | ① + ② + ③ |
| 8 | Zhao Jun [ | 2020 | China | 2017.5~2018.7 | 31/31 | 49.52 ± 2.48 | 49.56 ± 2.51 | 18/13 | 17/14 | Retrospective | ① + ② |
| 9 | Yang Bing [ | 2018 | China | 2015.10~2017.10 | 40/40 | 44.65 ± 7.11 | 44.71 ± 7.09 | 23/17 | 22/18 | Retrospective | ① + ② + ③ |
| 10 | Wang Daofu [ | 2016 | China | 2013.12~2015.9 | 50/50 | 44.08 ± 7.21 | 44.63 ± 7.12 | 29/21 | 28/22 | Retrospective | ① + ② + ③ |
| 11 | Jia Yanjie [ | 2018 | China | 2016.5~2017.2 | 33/33 | 38.56 ± 7.48 | 38.41 ± 7.34 | 18/15 | 19/14 | Retrospective | ① + ② |
| 12 | Wang Xiaoying [ | 2018 | China | 2015.10~2018.10 | 20/20 | 59.74 ± 5.19 | 59.79 ± 5.16 | 11/9 | 10/10 | Retrospective | ① + ② |
| 13 | Wang Li [ | 2018 | China | 2016.10~2018.2 | 30/30 | 45.53 ± 8.92 | 45.06 ± 9.01 | 18/12 | 19/11 | Retrospective | ① + ② |
| 14 | He Xiaoxia [ | 2019 | China | 2018.1~2018.12 | 35/35 | 49.13 ± 4.52 | 48.42 ± 4.96 | 18/17 | 20/15 | Retrospective | ① + ② + ③ |
| 15 | Zhi Wang [ | 2017 | China | 2015.1~2015.12 | 48/48 | 56.43 ± 6.57 | 56.38 ± 6.47 | 25/23 | 26/22 | Retrospective | ① + ② |
| 16 | Mediha Türktan [ | 2017 | Turkey. | 2014.12~2015.8 | 30/30 | 59.83 ± 14.22 | 53.90 ± 15.43 | 17/13 | 21/9 | Retrospective | ① + ② |
| 17 | Jin Sun Cho [ | 2014 | Korea. | NR | 45/45 | 55.2 ± 8.7 | 56.3 ± 9.3 | 36/9 | 36/9 | Retrospective | ① + ② + ③ |
Note: ①: mean arterial pressure, MAP; ②: heart rate, HR; ③: Ramsay score; Treat: treatment; Con: control; NR: not reported.
Figure 2Forest plot showing the (a) excellent and good rate score of anesthesia and (b) Ramsay score of the two groups.
Figure 3Forest plot of the (a) mean arterial pressure and (b) heart rate of the two groups.
Figure 4Sensitivity analysis of the (a) excellent and good rate score of anesthesia rate and (b) Ramsay score of anesthesia.
Figure 5Sensitivity analysis of (a) mean arterial pressure and (b) heart rate of the two groups.
Figure 6Funnel plot of the (a) mean arterial pressure and (b) heart rate of the two groups.