Degong Jia
Shanshan Guo2†
Xinyi Wu
Minjie Zhao- 1Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
- 2Department of Nephrology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
Background: Dexmedetomidine (DEX), an adjuvant anesthetic, may improve the clinical outcomes of liver transplantation (LT).
Methods: We summarized the relevant clinical trials of DEX in patients undergoing LT. As of 30 January 2023, we searched The Cochrane Library, MEDLINE, EMBASE, Clinical Trial.gov and the WHO ICTRP. The main outcomes were postoperative liver and renal function. The random effect model or fixed effect model was used to summarize the outcomes across centers based on the differences in heterogeneity.
Results: The meta-analysis included nine studies in total. Compared with the control group, the DEX group had a reduced warm ischemia time (MD-4.39; 95% CI-6.74−-2.05), improved postoperative liver (peak aspartate transferase: MD-75.77, 95% CI-112.81−-38.73; peak alanine transferase: MD-133.51, 95% CI-235.57−-31.45) and renal function (peak creatinine: MD-8.35, 95% CI-14.89−-1.80), and a reduced risk of moderate-to-extreme liver ischemia-reperfusion injury (OR 0.28, 95% CI 0.14-0.60). Finally, the hospital stay of these patients was decreased (MD-2.28, 95% CI-4.00−-0.56). Subgroup analysis of prospective studies showed that DEX may have better efficacy in living donors and adult recipients.
Conclusion: DEX can improve short-term clinical outcomes and shorten the hospital stay of patients. However, the long-term efficacy of DEX and its interfering factors deserves further study.
Systematic Review: identifier CRD42022351664.
1 Introduction
Solid organ transplantation is currently a recognized treatment for end-stage organ disease. Due to the particularity of this operation, ischemia-reperfusion injury (IRI) is an inevitable problem (Yamada et al., 2020). In the process of liver transplantation (LT), IRI can cause graft dysfunction and vascular and biliary complications and ultimately lead to multiple organ injury (Peralta et al., 2013; Olivo et al., 2018). At the same time, inflammation and damage to the microvascular system caused by liver IRI are important factors affecting the short-term and long-term prognosis of LT (Ali et al., 2015). Therefore, effective prevention and treatment of transplanted liver IRI is crucial to the success of LT.
Perioperative hemodynamic stability during LT has a positive impact on graft function and patient recovery (Sharma et al., 2022). Dexmedetomidine (DEX) is a high-efficiency and high-selectivity alpha-2 adrenaline receptor agonist. As an auxiliary drug for general anesthesia, DEX has good perioperative hemodynamic stability and an intraoperative anesthesia retention effect. It was approved for sedation and analgesia in intensive care unit (ICU) patients in the United States in 1999 (Damian et al., 2020). Preclinical studies have shown that DEX can improve IRI in various tissues, including the liver, thus providing organ protection (Tang et al., 2020; Yu et al., 2020; Liu et al., 2022; Tao et al., 2022). However, its effectiveness and safety in IRI of transplanted livers still lack definite conclusions.
To further study and clarify the role of this convenient and economic intervention in LT, we conducted this meta-analysis. In addition, we evaluated the factors affecting the efficacy of DEX. This may provide a more effective and accurate treatment strategy for IRI of transplanted liver.
2 Materials and methods
This study is a summary and analysis of the clinical outcomes of DEX in patients undergoing LT. This systematic review and meta-analysis was previously registered in the International Prospective Register of Systematic Reviews (PROSPERO [CRD42022351664]) and conducted according to the PRISMA guidelines (Moher et al., 2009).
2.1 Search strategy
As of 30 January 2023, we searched relevant databases such as The Cochrane Library, MEDLINE, EMBASE, and online trial registration platforms such as Clinical Trial.gov and the World Health Organization International Clinical Trials Registry Platform. The retrieval was not limited by the time of publication or any other characteristics; the results were limited to English language results. See Supplementary Table S1 for the complete retrieval strategy. A total of 168 documents were retrieved, and the results were imported into Endnote X9 for further screening. Since this study only used published clinical data and did not study new human subjects, no application was submitted to IRB.
2.2 Selection criteria
We used Endnote X9 to remove 49 duplicate documents. Next, two independent reviewers (D.J. and S.G.) screened the title/abstract and full text of the remaining articles and recorded the number and reasons for their removal in the screening stage. The references of the included studies and related reviews were manually identified to find potential qualified tests. Any conflict between the two reviewers was resolved through discussion or the participation of a third reviewer (Y.Q.).
Before literature retrieval, we formulated the inclusion/exclusion criteria. We included original studies related to LT. The study needs to take DEX as the intervention measure, and placebo or non-DEX as the control. The related original studies about multiple organ transplantation, retransplantation and not containing the clinical data required for this study were excluded.
2.3 Research outcomes
The outcomes were predefined before the start of the meta-analysis and adjusted according to the actual reported data in the included studies. The main outcomes were postoperative liver function and renal function. The secondary outcomes were graft ischemia time (min), duration of surgery (h), ICU stay (d), hospital stay (d), and the occurrence of moderate-to-extreme hepatic IRI and postreperfusion syndrome (PRS). Postoperative liver function is expressed by peak aspartate transferase (AST) and alanine transferase (ALT) within 7 days after the operation, and postoperative renal function is expressed by peak blood urea nitrogen (BUN) and creatinine (CRE). Hepatic ischemia reperfusion injury (HIRI) severity was evaluated by the Rahman standard (Rahman et al., 2017).
2.4 Data extraction and quality assessment
The standardized form was used by two reviewers independently to extract the data included in the study, and the differences were resolved through discussion or the participation of the third reviewer. The continuous variables of each study are summarized as the mean and SD, and the dichotomous variables are summarized as the number of positive and total events. If the mean and SD of continuous variables were not reported, they were estimated based on the sample size, median, range or quartile range by using the formula proposed by Wan et al. (2014). When necessary, we contacted the original author to try to solve the ambiguity of the report data.
The quality evaluation of the randomized controlled trial was conducted independently by two authors using the Cochrane risk assessment tool (Cumpston et al., 2019); the quality evaluation of the retrospective cohort study was conducted using the Newcastle-Ottawa Quality Assessment scale.
2.5 Data synthesis and analysis
The data synthesis and analysis were conducted by Review Manager version 5.4, and the results report follows PRISMA guidelines. Dichotomous variables are expressed by OR values and 95% CIs; continuous variables are represented by MDs and 95% CIs, and the analysis results are visualized by forest plots. To avoid the interference of multiple comparisons on DEX efficacy judgment, we adjusted the traditional p-value. We obtained the multiple adjusted p values although 0.05 divided by the mean of 1 (no adjustment) and the number of main outcomes (Bonferroni adjustment). That is, p = 0.05 was used for a main outcome, and p = 0.033 was used for two main outcomes. Therefore, when summarizing the main outcomes, we believe that when the p-value is 0.033 (calculated by dividing 0.05 by [(2 + 1)/2]) or less, it is statistically significant. For the secondary outcomes, we believe that when the p-value is 0.014 (calculated by dividing 0.05 by [(6 + 1)/2]) or less, it is statistically significant (Jakobsen et al., 2014; Jakobsen et al., 2016). Two in the above equation represents two main outcomes (postoperative liver function and renal function); six means six secondary outcomes (graft ischemia time, duration of surgery, ICU stay, hospital stay, and the occurrence of moderate-to-extreme hepatic IRI and PRS).
The statistical heterogeneity among the studies was evaluated by the chi2 and I2 tests. Heterogeneity was considered when P Heterogeneity< 0.1 or I2 >50%. When statistical heterogeneity existed among the studies, the random effect model was used to summarize the data; otherwise, the fixed effect model was used (Jia et al., 2023). At the same time, we plan to use subgroup analysis to find the influencing factors of DEX efficacy.
2.6 Subgroup analysis
This study is the first to explore the factors affecting the efficacy of DEX. It is planned to conduct hierarchical analysis based on different countries (developed or non-developed), research types (retrospective or prospective), donor types (deceased donor or living donor) and different populations (adult or pediatric) to find potential sources of differences and the best clinical environment for DEX in LT. This study also aimed to identify the applicable population for DEX to avoid wasting medical resources.
3 Results
3.1 Summary of included studies
A total of 168 documents were retrieved from the database, and 49 duplicate documents were removed. The title/abstract and full text of the remaining 119 documents were reviewed. Finally, 110 documents were excluded because they did not meet the preset inclusion criteria. No new clinical trial was found after searching the clinical trial registration platform ClinicalTrial.gov and WHO ICTRP. Finally, nine studies were included in the meta-analysis, with a total of 648 participants (Choi et al., 2016; Fayed et al., 2016; Sayed and Yassen, 2016; Xu et al., 2016; Lee et al., 2020; Lee et al., 2021; Ustun et al., 2021; Zhang et al., 2021; Zhang et al., 2022). See Figure 1 for the combined search results. Table 1 describes the basic characteristics of the included studies. The nine included studies were all single-center trials, including four prospective randomized controlled trials and five retrospective cohort studies. Two studies were conducted in children, and the other seven studies were conducted in adults. Table 2 is a detailed description of all expected research results. Table 3 is a detailed description of all subgroup analysis results.
FIGURE 1. PRISMA flow chart of the literature retrieval and screening process.
TABLE 1. Characteristics of the included studies.
TABLE 2. Summary of meta-analysis results of DEX in LT.
TABLE 3. Summary of the effects of different factors on the efficacy of DEX.
We found the risk of ambiguous bias in some studies because the author did not describe any relevant details. Figure 2 describes the quality evaluation results of the included studies. The overall bias of each study was low. The quality of all the included studies was generally good, and none of them showed poor design.
FIGURE 2. Quality assessment results of the included studies. RCTs were assessed using the Cochrane Risk of Bias Assessment Tool. Retrospective cohort studies were assessed using the Newcastle-Ottawa Quality Assessment scale.
3.2 Primary outcome
3.2.1 Postoperative liver function
We used the peak AST/ALT within 7 days after transplantation to reflect postoperative liver function. Three studies recorded the level of peak AST/ALT after LT, and 110 participants received DEX. Meta-analysis showed that compared with the control group, the group with perioperative DEX infusion had significantly reduced peak AST (MD -75.77; 95% CI-112.81−-38.73) and ALT levels (MD -133.51; 95% CI-235.57−-31.45) (Figure 3) and improved postoperative liver function. Subgroup analysis of prospective studies showed that the results were stable in living donors and adult recipients (Table 3).
FIGURE 3. Forest plots of the effect of DEX on postoperative peak aspartate transferase (A) and alanine transferase (B).
3.2.2 Postoperative renal function
We used the peak BUN and CRE levels within 7 days after transplantation to reflect postoperative renal function. Two studies described the level of peak BUN after LT, and 90 participants received DEX. Meta-analysis showed that the infusion of DEX did not significantly improve the peak BUN (MD 0.06; 95% CI-2.71-2.82) level (Figure 4A). Three studies described the level of peak CRE after surgery, and 110 people received DEX. Meta-analysis showed that the DEX group had significantly reduced peak CRE levels (MD -8.35; 95% CI-14.89−-1.80) (Figure 4B) after the operation compared with the control group. Subgroup analysis showed that donor type could affect the role of DEX in postoperative renal function (Table 3).
FIGURE 4. Forest plots of the effect of DEX on postoperative peak blood urea nitrogen (A) and creatinine (B).
3.3 Secondary outcome
3.3.1 Graft ischemia time
We analyzed the effect of DEX on warm ischemia time (WIT) and cold ischemia time (CIT). Three studies recorded WIT during the operation, and 110 people received DEX. Meta-analysis showed that the DEX group had a significantly shortened WIT compared with the control group (MD -4.39; 95% CI-6.74−-2.05) (Figure 5A). Subgroup analysis showed that the study type had an impact on this result, and it was more stable among child recipients (Table 3).
FIGURE 5. Forest plots of the effect of DEX on warm ischemia time (A) and cold ischemia time (B).
Four studies recorded CIT, and 121 participants received DEX. Meta-analysis did not show any effect of DEX on the CIT (MD -7.08; 95% CI-15.95-1.78) (Figure 5B). Subgroup analysis showed that the study type and age of the recipients had a significant impact on this result (Table 3).
3.3.2 Duration of surgery
Four studies recorded the duration of surgery, and 180 people received DEX. Meta-analysis showed that DEX did not change the operation duration (MD 0.09; 95% CI-0.28-0.45) (Figure 6A). Subgroup analysis showed that the study type, country type and recipient age could change the effect of DEX on the operation duration (Table 3).
FIGURE 6. Forest plots of the effect of DEX on the duration of surgery (A), ICU stay (B) and hospital stay (C).
3.3.3 ICU stay
Seven studies described the ICU stay of recipients, and 289 people received DEX. Meta-analysis did not show that DEX had a significant effect on the ICU stay of patients (MD -0.05; 95% CI-0.24-0.14) (Figure 6B). The result was stable in all subgroups (Table 3).
3.3.4 Hospital stay
Four studies described the impact of DEX on the hospital stay of patients, and 230 participants received DEX. Meta-analysis showed that DEX significantly reduced the hospital stay of patients compared with the control group (MD -2.28; 95% CI-4.00−-0.56) (Figure 6C). Subgroup analysis of the retrospective study showed that this result was stable in non-developed countries and child recipients (Table 3).
3.3.5 Moderate-to-extreme hepatic IRI
Two studies described the occurrence of moderate-to-extreme liver IRI, of which 90 participants received DEX. Meta-analysis showed that the DEX group had a significantly reduced incidence of moderate-to-extreme hepatic IRI compared with the control group (OR 0.28; 95% CI 0.14-0.60) (Figure 7A). The result remained stable in all subgroups (Table 3).
FIGURE 7. Forest plots of the effect of DEX on moderate-to-extreme hepatic IRI (A) and postreperfusion syndrome (B).
3.3.6 Postreperfusion syndrome
Three studies described the occurrence of PRS, and 110 people received DEX treatment. Meta-analysis showed that DEX did not affect the occurrence of PRS (OR 0.72; 95% CI 0.19-2.74) (Figure 7B). Subgroup analysis showed that donor type had an impact on this result (Table 3).
4 Discussion
This meta-analysis is a comprehensive analysis of the clinical prognosis data of nine studies on DEX treatment of LT, involving 648 participants from South Korea, China and other countries. Encouragingly, the infusion of DEX significantly reduced the levels of peak AST/ALT and CRE in the early postoperative period. DEX can significantly reduce WIT and the incidence of moderate-to-extreme hepatic IRI and ultimately significantly reduce the length of hospital stay of patients. In general, DEX plays an active role in LT, which is more stable in living donors, prospective studies and adult recipients. However, considering the small number of participants in this study, the above results still need to be interpreted with caution. Further prospective, double-blind, multicenter studies are essential to confirm the efficacy of DEX in LT and its influencing factors.
DEX can alleviate early postoperative liver function, which is reflected in DEX significantly reducing the level of peak AST/ALT. On the one hand, this effect may be because DEX can reduce the level of the leukocyte adhesion molecule ICAM-1 and the migration of leukocytes to the inflammatory region, which reduces the damage to liver endothelial cells, and DEX also inhibits the activation of the intrinsic apoptotic cascade reaction, which ultimately restores liver function (Vollmar et al., 1995; Fayed et al., 2016; Hemsinli et al., 2022). On the other hand, this result is consistent with the finding that DEX reduces moderate-to-extreme hepatic IRI, which is the inducing factor of graft dysfunction. DEX has been shown to reduce hepatic IRI through multiple pathways, including decreasing oxidative stress, endoplasmic reticulum stress, and apoptotic pathways (Zhang et al., 2023). Notably, the total sample size of the current study may not be sufficient to reveal the role of DEX in postoperative liver function. Therefore, this result should be interpreted with caution.
Because of the high incidence rate of kidney injury after LT, it is necessary to explore this field. This study is the first summary of clinical evidence related to DEX in renal function after LT and shows that DEX has a certain protective effect, which is reflected in that DEX reduces the level of peak CRE. According to previous research reports, this effect may be related to DEX as an alpha-2 adrenergic receptor agonist. Alpha-2 adrenergic receptors are widely distributed in renal tubules and their surrounding vascular systems, and their activation can regulate endothelial nitric oxide synthase to induce vasodilation, thus increasing the glomerular filtration rate and urine volume and improving the damage to renal function caused by LT (Nong et al., 2016). However, our study did not find an effect of DEX on BUN, which may be because the mechanism of organ dysfunction caused by liver IRI is relatively complex, and it is difficult to play a complete protective role through a single drug or medium.
Studies have shown that shortening the WIT can reduce the risk of early graft dysfunction and graft loss at 1 and 5 years after surgery and play a protective role in the prognosis of LT (Al-Kurd et al., 2021). Meanwhile, the WIT is closely related to the surgical skills of LT and is basically considered a fixed time in the clinical environment of contemporary LT. Instead, we found that the non-mechanical intervention “drug injection” reduced the WIT during the operation. This may be due to the small number of studies and participants, and 66.67% of the included studies were retrospective studies, resulting in the deviation of the research results. In the future, more and larger prospective clinical trials are needed to confirm whether DEX can reduce the intraoperative WIT.
Furthermore, we found that DEX shortened the hospital stay of patients. The length of hospital stay is considered to be closely related to infection risk, medical care expenditure and other postoperative outcomes (Du et al., 2022). A previous study showed dexmedetomidine acted as an alpha-2 receptor agonist and sodium channel inhibitor to regulate the function of locus coerulus and dorsal horn, reducing postoperative stress response and alleviating anxiety (Weerink et al., 2017; Wiatrowski, 2021). Thereby it could accelerate postoperative recovery in transplant patients. This efficacy of DEX has many clinical benefits. On the one hand, the reduction in hospital stay can effectively reduce the incidence of complications such as nosocomial infection and the overall hospital costs of patients and ultimately reduce the economic, physical and mental burden of patients. On the other hand, the short length of hospitalization has accelerated the turnover rate of hospital beds, enabling candidates on the waiting list for LT to undergo surgery as soon as possible and promoting the efficient use of medical resources.
At the same time, we analyzed the influencing factors of DEX treatment for LT. From the results of the subgroup analysis, DEX seems more effective and stable in living donors, prospective studies, and adult recipients. Compared with deceased donors, living donors have many advantages, such as a shorter CIT and more opportunities for medical optimization before transplantation (Tran and Humar, 2021). It is not surprising that living donors have better postoperative recovery. With regard to different types of studies, the retrospective study did not develop a standard anesthesia and surgical plan before the study, and the dosage and use of DEX were not determined, so the evaluation of the efficacy of DEX was inevitably biased. Moreover, there is no unified standard for the perioperative treatment and nursing of liver transplant patients, which may lead to relatively poor results in retrospective studies. Regarding different groups of liver transplant recipients, compared with children, the intraoperative and postoperative nursing technology in adults is relatively more mature. Moreover, due to the characteristics of physical structure, it is more difficult for children to match the liver of proper size, and the formation rate of hepatic vein thrombosis after transplantation is higher (Rawal and Yazigi, 2017; Nickel et al., 2022). Therefore, the prognosis of LT in children may be relatively poor.
In addition, preclinical studies have shown that other commonly used anesthetics and anesthesia adjuncts, such as sevoflurane, isoflurane and propofol, could also alleviate IRI (Hausburg et al., 2020; Chen et al., 2022; Benoit et al., 2023). For example, sevoflurane alleviates hepatic cell death induced by IRI by reducing oxidative stress, inhibiting the formation or opening of mitochondrial permeability transition pore and NF-κB signaling pathway, and increasing the expression of hypoxia-inducing factors (Benoit et al., 2023). Therefore, sevoflurane is also a potential drug for reducing hepatic IRI. In LT, pharmacological methods with the same efficacy seem more applicable compared to invasive surgical strategies such as ischemic preconditioning (Jeong et al., 2017). However, it is uncertain whether these anesthetic drugs have any benefits in the clinical outcomes of liver transplant patients, and further prospective clinical trials are needed to further verify.
4.1 Strengths and limitations
To the best of our knowledge, this is the first systematic review and meta-analysis to study the role of DEX in LT. Compared with any individual study, this study followed known guidelines and standards in the review and reporting process and provided clinical evidence for DEX in LT through rigorous meta-analysis. Our results support clinicians in choosing this economic and convenient intervention method in the process of LT. We found the possible factors that affect the efficacy of DEX. Of course, this study also has certain deficiencies. First, the documents included in this study are all single-center studies. The surgical and nursing skills of the transplant center and the basic clinical characteristics of patients inevitably lead to potential differences between the studies. Second, this study lacks objective evaluation indicators of DEX in LT, such as its impact on anesthesia demand, intraoperative hemodynamic stability and blood glucose level. Third, clinical data on adverse drug reactions associated with DEX and its effects on the heart, pancreas and other organs after LT were not reported. Fourth, there were no crucial short-term and long-term follow-up data after the operation, including the description of graft survival and patient survival. Fifth, the dose-dependent effect of DEX on LT was not reported, and the optimal injection time of DEX was also not clear in this study. In addition, it is not clear whether preoperative prophylactic medication and postoperative continuous medication have better protective effects. Finally, this study contains clinical data from multiple countries and different years, and there is inevitably heterogeneity between studies. Although we tried to find the potential confounding factors that affect the efficacy of DEX, the existence of heterogeneity and the lack of understanding of the relevant mechanisms that affect the prognosis of LT mean that our research may still be biased.
5 Conclusion
In this study, we evaluated the efficacy of DEX on LT. In general, DEX improves the postoperative liver function and renal function of patients, reduces the postoperative hospitalization time of patients, and plays a favorable role in the prognosis of LT. Its role in living donors and adult recipients is more stable. DEX, as a low-cost intervention with few side effects, is a promising protective factor for LT. However, before DEX is widely used, more and larger clinical trials are still needed to further confirm its efficacy and side effects.
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
Author contributions
Conceptualization, investigation, writing—original draft, writing—review and editing, final approval: DJ. and SG, data curation, methodology, writing—review and editing, final approval: XW and MZ, writing—original draft, writing—review and editing, final approval: JL and MC, supervision, writing—review and editing, final approval: YQ. All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.
Funding
This research was funded by the Science and Technology Research Program of Chongqing Municipal Education Commission (Grant No. KJQN202000405) and the Natural Science Foundation of Chongqing (Grant No. cstc2020jcyj-msxmX0791).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2023.1188011/full#supplementary-material
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Keywords: liver transplantation, dexmedetomedine, liver function, complication, meta-analysis
Citation: Jia D, Guo S, Wu X, Zhao M, Luo J, Cheng M and Qin Y (2023) Effect of dexmedetomidine on liver transplantation: a meta-analysis. Front. Pharmacol. 14:1188011. doi: 10.3389/fphar.2023.1188011
Received: 16 March 2023; Accepted: 12 May 2023;
Published: 22 May 2023.
Edited by:
Yong Gao, Guangzhou University of Chinese Medicine, ChinaReviewed by:
Shashanka Prasad, JSS Academy of Higher Education and Research, IndiaPrasanna K. Santhekadur, JSS Academy of Higher Education and Research, India
Copyright © 2023 Jia, Guo, Wu, Zhao, Luo, Cheng and Qin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yajun Qin, cWlueWFqdW5AaG9zcGl0YWwuY3FtdS5lZHUuY24=
†These authors have contributed equally to this work and share first authorship