Literature DB >> 35685629

Neuromuscular Blockade for Cardiac Arrest Patients Treated With Targeted Temperature Management: A Systematic Review and Meta-Analysis.

Tong Lin1, Yan Yao2, Yuan Xu2, Hui-Bin Huang2.   

Abstract

Background: Neuromuscular-blocking agents (NMBA) are often administered to control shivering in comatose cardiac arrest (CA) survivors during targeted temperature management (TTM) management. Thus, we performed a systematic review and meta-analysis to investigate the effectiveness and safety of NMBA in such a patient population.
Methods: We searched for relevant studies in PubMed, Embase, and the Cochrane Library until 15 Jul 2021. Studies were included if they reported data on any of the predefined outcomes in adult comatose CA survivors managed with any NMBA regimens. The primary outcomes were mortality and neurological outcome. Results were expressed as odds ratio (OR) or mean difference (MD) with an accompanying 95% confidence interval (CI). Heterogeneity, sensitivity analysis, and publication bias were also investigated to test the robustness of the primary outcome. Data Synthesis: We included 12 studies (3 randomized controlled trials and nine observational studies) enrolling 11,317 patients. These studies used NMBA in three strategies: prophylactic NMBA, bolus NMBA if demanded, or managed without NMBA. Pooled analysis showed that CA survivors with prophylactic NMBA significantly improved both outcomes of mortality (OR 0.74; 95% CI 0.64-0.86; I 2 = 41%; p < 0.0001) and neurological outcome (OR 0.53; 95% CI 0.37-0.78; I 2 = 59%; p = 0.001) than those managed without NMBA. These results were confirmed by the sensitivity analyses and subgroup analyses. Only a few studies compared CA survivors receiving continuous versus bolus NMBA if demanded strategies and the pooled results showed no benefit in the primary outcomes between the two groups.
Conclusion: Our results showed that using prophylactic NMBA strategy compared to the absence of NMBA was associated with improved mortality and neurologic outcome in CA patients undergoing TTM. However, more high-quality randomized controlled trials are needed to confirm our results.
Copyright © 2022 Lin, Yao, Xu and Huang.

Entities:  

Keywords:  cardiac arrest; meta-analysis; neurological outcome; neuromuscular-blocking agents; targeted temperature management

Year:  2022        PMID: 35685629      PMCID: PMC9171045          DOI: 10.3389/fphar.2022.780370

Source DB:  PubMed          Journal:  Front Pharmacol        ISSN: 1663-9812            Impact factor:   5.988


Introduction

Targeted temperature management (TTM) has been demonstrated to improve the neurological prognosis of survivors after resuscitation for cardiac arrest (CA) and is recommended by clinical guidelines (Callaway et al., 2015). However, shivering, one of the most common complications during TTM, can counteract the beneficial effects of TTM by generating heat, increasing metabolic rate and oxygen consumption, preventing the rapid achievement of target temperatures, and causing secondary brain injury (Seder et al., 2011). Therefore, shivering should be avoided or controlled as early as possible during TTM. Neuromuscular-blocking agents (NMBA) can effectively reduce the occurrence of shivering and are widely used in clinical practice (Greenberg and Vender, 2013). Theoretically, NMBA can also improve chest wall compliance and eliminate patient-ventilator asynchrony; reduce cerebral metabolic demand, shorten the time to target temperature, and prevent the increase in intracranial pressure caused by airway stimulation (Greenberg and Vender, 2013; deBacker et al., 2017). However, NMBA is not without risks. Several studies have reported that NMBA treatment is associated with increased risks of nosocomial pneumonia (Lascarrou et al., 2014) and critical illness polyneuromyopathy (Price et al., 2012). In addition, NMBA treatment may mask epileptic activity and limit neurological evaluation (Al-Dorzi et al., 2012). The 2015 American Heart Association (AHA) recommended that NMBA should be minimized or avoided during post-CA care (Callaway et al., 2015). Thus, whether NMBA affects the outcome of survivors after CA remains unclear. Recently, several studies on this topic have been published (Stöckl et al., 2017; Lee et al., 2018; Moskowitz et al., 2020; Hifumi et al., 2021; Takiguchi et al., 2021), and some of these have a modest sample size with inconsistent results. This may be related to the different strategies, timing, and research design of NMBA applications. Therefore, we sought to conduct a systematic review and meta-analysis by pooling existing studies to investigate the efficacy and safety of NMBA strategy in CA survivors during TTM.

Methods

We conducted this systemic and meta-analysis following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement (Shamseer et al., 2015). (Supplementary Additional File S1). The protocol for this systematic review and meta-analysis was registered on the International Platform of Registered Systematic Review and Meta-analysis Protocols database (INPLASY202070045) and is available in full on inplasy.com (https://doi.org/10.37766/inplasy2020.7.0045).

Search Strategy and Selection Criteria

We searched studies in PubMed, Embase, and Cochrane Library from inception through 25 Jul 2021, to identify potentially relevant studies. Language restriction was limited in English and Chinese. We also reviewed reference lists of relative articles. Details of the search strategy are provided in Supplementary Additional File S2. After screening titles, we evaluated abstracts for relevance and identified them as included, excluded, or requiring further assessment. Studies were considered for inclusion if they focused on CA survivors during TTM and compared different NMBA strategies, including but not limited to prophylactic NMBA (continuous or scheduled), bolus if demanded or managed without NMBA (defined as the use of placebo, saline, or no use; patients are allowed to receive emergent NMBA use to control shivering episodes). We excluded studies enrolling children, pregnant women, or patients with pre-existing dementia or brain injury. Articles published in editorials, narrative reviews without data on predefined outcomes available were also excluded.

Data Extraction and Quality Assessment

Two reviewers (L-JL and H-BH) independently extracted data from the included studies on the first author, year of publication, country, sample size, study design, disease severity, NMBA and TTM regimens, methodological quality, and all outcomes of interest. L-JL and H-BH also evaluated the quality of included studies using the risk of bias tool recommended by the Cochrane Collaboration in randomized clinical trials (RCTs) (Higgins et al., 2011) and the Newcastle-Ottawa scale for assessing the risk of bias in observational studies (Stang, 2010). Discrepancies were identified and resolved through discussion.

Predefined Outcomes

We aimed to explore the effectiveness and safety of NMBA strategies during TTM, including 1) with or without NMBA strategy; and 2) NMBA administration methods (i.e., continuous vs. intermittent). The primary outcomes were mortality at the longest follow-up available and the neurological outcome. Secondary outcomes included duration of MV, ICU or hospital stay, lactate clearance, time to targeted temperature, and NMBA associated complications (i.e., pneumonia).

Statistical Analysis

The results from all relevant studies were combined to estimate the pooled risk ratio (RR) and associated 95% confidence intervals (CIs) for dichotomous outcomes. As to the continuous outcomes, mean differences (MD) and 95% CI were estimated as the effect results. We assessed heterogeneity using the Mantel-Haenszel χ two test and the I 2 statistic (Higgins et al., 2003). An I 2 < 50% was considered to indicate insignificant heterogeneity, and a fixed-effect model was used, whereas a random-effect model was used in cases of significant heterogeneity (I 2 > 50%). Before data analysis, we estimated mean from median and standard deviations (SD) from IQR using the methods described in previous studies (Wan et al., 2014). We conducted subgroup analyses basing NMBA strategies. Sensitivity analyses were performed by excluding trials that potentially biased the results of primary outcomes. We also conducted sensitivity analyses for the primary outcomes by pooling only RCTs or studies focusing on targeted temperature of 32–34°C to investigate the potential affecting factors among the included studies. Publication bias was evaluated by visually inspecting funnel plots. All analyses were performed using Review Manager version 5.3.

Results

Study Selection

The literature search yielded 881 records through database searching, and 12 studies with 11,317 patients who fulfilled inclusion criteria were eligible for final analysis (Jurado and Gulbis, 2011; Snider et al., 2012; Salciccioli et al., 2013; Curtis et al., 2014; Lascarrou et al., 2014; Lee et al., 2017; Stöckl et al., 2017; Lee et al., 2018; May et al., 2018; Moskowitz et al., 2020; Hifumi et al., 2021; Takiguchi et al., 2021). Additionally, in replying to the letter comment on their study (Salciccioli et al., 2013), Salciccioli et al. provided some related data Salciccioli and Donnino, (2014), which were also included in our meta-analysis. The overview of the study selection process is presented in Figure 1.
FIGURE 1

The selection process for studies included in the meta-analysis.

The selection process for studies included in the meta-analysis.

Study Characteristics

The main characteristics of the 12 included studies [3 RCTs (Stöckl et al., 2017; Moskowitz et al., 2020; Lee et al., 2018) and nine observational studies (Lascarrou et al., 2014; Takiguchi et al., 2021; Hifumi et al., 2021; Salciccioli et al., 2013; May et al., 2018; Lee et al., 2017; Jurado and Gulbis, 2011; Curtis et al., 2014; Snider et al., 2012)] are shown in Table 1. The NMBA regimens described in the included studies were presented in Supplementary Additional File S3. Of these studies, Six and five were single-center (Jurado and Gulbis, 2011; Snider et al., 2012; Curtis et al., 2014; Lascarrou et al., 2014; Lee et al., 2017; Stöckl et al., 2017) and multi-center studies (Salciccioli et al., 2013; Lee et al., 2018; May et al., 2018; Moskowitz et al., 2020; Hifumi et al., 2021), respectively, and one used data from an international cardiac arrest registry (May et al., 2018). Nine studies (Snider et al., 2012; Curtis et al., 2014; Lascarrou et al., 2014; Lee et al., 2017; Stöckl et al., 2017; Lee et al., 2018; May et al., 2018; Moskowitz et al., 2020; Hifumi et al., 2021) compared patients receiving prophylactic NMBA with the absence of NMBA regimen, and five (Jurado and Gulbis, 2011; Salciccioli et al., 2013; Lee et al., 2018; May et al., 2018; Takiguchi et al., 2021) evaluated the effects of continuous NMBA with bolus NMBA if demanded. The duration of NMBA used ranged from 24 to 37 h among studies. Most studies assessed neurological outcome based on Cerebral Performance Category score (CPC), with good outcome defined as CPC of one or two and poor outcome as CPC of 3–5. Sedation and anesthetic schemes varied across the included studies and were summarized in the Supplementary Additional File S4. Overall, the quality of the included studies was low to medium (Supplementary Additional File S5).
TABLE 1

Characteristics of the studies included in current systemic review and meta-analysis.

StudyDesignCountryTTM,°CNMB RegimensOHCA, %Sample sizeAge, yearMale %Defined good neurological outcomeFollow- up
Moskowitz et al. (2020) RCT, MCUnited States32–36Prophylactic95376654mRS score of 0–3Hospitalization
As-needed93436467
Hifumi et al. (2021) R, MCJapan32–34Prophylactic1003536180.5CPC of 1–2Hospitalization
No use100786091
Takiguchi et al. (2021) R, DBJapan<35Prophylactic914,0965978Barthel index score >85Hospitalization
As-needed881,4886276
Lee et al. (2018) RCT, MCKorea33 or 36Prophylactic100386629CPC of 1–2Hospitalization
No use100436130
May et al. (2018) P, MCUnited States32–34Prophylactic811,4626065CPC of 1–26 months
As-needed751,9166170
No use728896562
Lee et al. (2017) R, SCKorea32–34Prophylactic79975775CPC of 1–2Hospitalization
As-needed991196077
No use70936646
Stöckl et al. (2017) RCT, SCAustria33Prophylactic100326226CPC of 1–212 months
No use100315826
Lascarrou et al. (2014) R, SCFrance33Prophylactic821175994CPC of 1–23 months
No use93276619
Curtis et al. (2014) R, SCUnited States32–34ProphylacticNA1957NANANA
No useNA756NA
Snider et al. (2012) R, SCUnited States34ProphylacticNA86NANACPC of 1–2Hospitalization
No useNA12NANA
Salciccioli et al. (2013) P, MCUnited States34Prophylactic100185614mRS score of 0–3Hospitalization
As-needed10077NANa
No use10016NANA
Jurado and Gulbis, (2011) R, SCUnited States33ProphylacticNA805865NAHospitalization
As-neededNA435735

CPC, cerebral performance category; DB, data base; MC, multi-centers; mRS, modified Rankin Scale; NA, not available; NMB, neuromuscular blockade; OHCA, out-of-hospital cardiac arrest; P, prospective; R, retrospective; RCT, randomized controlled trials; SC, single-center; TTM, time to target temperature.

Characteristics of the studies included in current systemic review and meta-analysis. CPC, cerebral performance category; DB, data base; MC, multi-centers; mRS, modified Rankin Scale; NA, not available; NMB, neuromuscular blockade; OHCA, out-of-hospital cardiac arrest; P, prospective; R, retrospective; RCT, randomized controlled trials; SC, single-center; TTM, time to target temperature.

Primary Outcomes

With or Without NMBA Regimen

Nine studies with 5,410 patients compare prophylactic NMBA (scheduled or continuous) to without NMBA regimen (Snider et al., 2012; Curtis et al., 2014; Lascarrou et al., 2014; Lee et al., 2017; Stöckl et al., 2017; Lee et al., 2018; May et al., 2018; Moskowitz et al., 2020; Hifumi et al., 2021). Eight of these studies reported outcomes of mortality (Salciccioli et al., 2013; Curtis et al., 2014; Lascarrou et al., 2014; Lee et al., 2017; Stöckl et al., 2017; Lee et al., 2018; Moskowitz et al., 2020; Hifumi et al., 2021), and the aggregated data suggested that the mortality was significantly lower in the prophylactic NMBA (n = 1,245; OR 0.74; 95% CI 0.64–0.86; I 2 = 41%; p < 0.0001) when compared to without NMBA regimen (Figure 2). Subgroup analyses confirmed that continuous NMBA, bolus NMBA, or combined with continuous and bolus have significantly lower mortality rates (Table 2, Supplementary Additional File S6).
FIGURE 2

Forest plot of comparing prophylactic neuromuscular-blocking agent to without neuromuscular-blocking agent regimen in outcomes of mortality.

TABLE 2

Subgroup analysis of the mortality and Poor neurological outcomes based on NMB regimens.

SubgroupIncluded studies, [Reference]Sample sizeEvent in apheresis groupEvent in control groupOdd ratio (95% CI) P I 2 %
MortalityContinue vs. no use(Lascarrou et al., 2014), (Lee et al., 2017), (Stöckl et al., 2017), (Moskowitz et al., 2020), (Lee et al., 2018), (Salciccioli et al., 2013)592144/339118/2370.53 [0.37, 0.77]0.000850
Bolus as need/continuous vs. no use(Hifumi et al., 2021), (Curtis et al., 2014), (Salciccioli et al., 2013)568127/46738/1010.53 [0.37, 0.77]0.0116
Bolus as need vs. no use(Lee et al., 2017), (Salciccioli et al., 2013)30569/19645/1090.49 [0.29, 0.84]0.010
Poor neurological outcomeContinue vs. no use(Lascarrou et al., 2014), (Stöckl et al., 2017), (Salciccioli et al., 2013), (May et al., 2018), (Lee et al., 2017)2,9781228/1,845847/1,1330.80 [0.64, 1.00]0.050
Bolus/continuous vs. no use May et al. (2018) 529207/43945/900.83 [0.55, 1.25]0.4977
Bolus as need vs. no use(Hifumi et al., 2021), (Snider et al., 2012)2,805718/1,916664/8890.50 [0.47, 0.54]<0.0001-
Forest plot of comparing prophylactic neuromuscular-blocking agent to without neuromuscular-blocking agent regimen in outcomes of mortality. Subgroup analysis of the mortality and Poor neurological outcomes based on NMB regimens. Seven studies focused on the neurological outcomes (Snider et al., 2012; Lascarrou et al., 2014; Lee et al., 2017; Stöckl et al., 2017; Lee et al., 2018; May et al., 2018; Moskowitz et al., 2020; Hifumi et al., 2021). Pooled analysis showed the poor neurological outcome was significantly lower in the prophylactic NMBA group than that of without NMBA (n = 5,521; OR 0.53; 95% CI 0.37–0.78; I 2 = 59%; p = 0.001) (Figure 3). The subgroup analyses showed significant reductions in poor neurological outcomes in patients receiving continuous NMBA or bolus NMBA but not combining continuous and bolus NMBA strategies (Table 2, Supplementary Additional File S6).
FIGURE 3

Forest plot of comparing prophylactic neuromuscular-blocking agent to without neuromuscular-blocking agent regimen in poor neurological outcome.

Forest plot of comparing prophylactic neuromuscular-blocking agent to without neuromuscular-blocking agent regimen in poor neurological outcome. In the sequential sensitivity analysis, excluding any single test did not significantly change the overall combined OR for the outcome of mortality (p < 0.00001–0.03) and neurological outcome (p < 0.00001–0.04). When a sensitivity analysis including only RCTs was performed, the results for both outcomes were not significantly in favor of prophylactic NMBA for outcomes of mortality (RR 0.95; 95% CI 0.74–1.21; p = 0.68) and neurological outcome (RR 0.91; 95% CI 0.71–1.17; p = 0.48), with the heterogeneity disappeared. When a sensitivity analysis including only studies focusing on targeted temperature of 32–34°C were performed, the results for both outcomes were also similar to the results including all studies (mortality: RR 0.71; 95% CI 0.55–0.92; p = 0.009, I 2 = 50% and neurological outcome: RR 0.81; 95% CI 0.70–0.94; p = 0.005, I 2 = 72%), while the heterogeneity existed.

Continuous vs. Bolus NMBA

Five studies examined the efficacy of continuous NMBA compared to bolus NMBA if demanded (Takiguchi et al., 2021; Salciccioli et al., 2013; May et al., 2018; Lee et al., 2017; Jurado and Gulbis, 2011). Pooled data showed no statistically significant difference between the two regimens in the risk of mortality (3 studies; n = 5,911; OR, −0.10; 95% CI, −0.23 to 0.03; I 2 = 81%; p = 0.15) (Takiguchi et al., 2021; Salciccioli et al., 2013; Lee et al., 2017) (Figure 4A) or poor neurological outcome (4 studies; n = 9,241; OR, 0.94; 95% CI, 0.50–1.76; I 2 = 96%; p = 0.84) (Salciccioli et al., 2013; Lee et al., 2017; May et al., 2018; Takiguchi et al., 2021) (Figure 4B). We did not perform the subgroup analysis for the limited studies for both outcomes. In the sequential sensitivity analysis, the results for both outcomes were confirmed by excluding any single test. When a sensitivity analysis including only studies focusing on targeted temperature of 32–34°C were performed, the results for both outcomes were also similar to the results including all studies (mortality: RR 0.44; 95% CI 0.13–1.41; p = 0.009, I 2 = 66% and neurological outcome: RR 0.59; 95% CI 0.22–1.58; p = 0.005, I 2 = 68%).
FIGURE 4

Forest plot of comparing continuous neuromuscular-blocking agent to bolus neuromuscular-blocking agent regimen in outcomes of mortality (A) and poor neurological outcome (B).

Forest plot of comparing continuous neuromuscular-blocking agent to bolus neuromuscular-blocking agent regimen in outcomes of mortality (A) and poor neurological outcome (B).

Secondary Outcomes

When comparing the prophylactic NMBA and without NMBA regimen, we found prophylactic NMBA strategy benefited more in CA survivors who received TTM in the outcomes of time to achieve target temperature and length of hospital stay. The duration of MV, serum lactate clearance after 24 h, and pneumonia incidence were similar between groups. Few studies compared continuous and intermittent NMBA regimens and showed continuous NMBA regimens had significantly longer ICU stay and shorter length of MV than intermittent NMBA regimens. (Table 3).
TABLE 3

Secondary outcomes of the current systematic review and meta-analysis.

Secondary outcomeIncluded studies, [Reference]Sample SizeOdd ratio/Mean difference [95% CI] P I 2%Included studies, [Reference]Sample SizeOdd ratio/Mean difference [95% CI] P I 2%
Prophylactic NMBA vs. without NMBA regimensContinuous infusion vs. intermittent bolus NMBA regimens
Length of stay in ICU9–11,20,187250.80 [−0.87, 2.46]0.357620,213393.79 [−2.57, 5.01]<0.00010
Length of stay in hospital11,181923.11 [0.46, 5.76]0.02085584−3.00 [−6.24, 0.24]0.07-
Incidence of pneumonia5,125760.59 [0.40, 0.86]0.5587855840.87 [0.73, 1.05]0.15-
Duration of MV5,9,10,116440.15 [−1.15, 1.45]0.820.858,205800−2.17 [−4.10, −0.24]0.0370%
Change of lactate after 24 h9,10,18,194180.31 [−0.33, 0.96]0.34020216->0.05*-
Time to targeted temperature9,10,12,208830.47 [0.02, 0.93]0.0486-----

∗Lactate clearance at all time-points did not differ among NMB groups (No specific data available).

ICU, intensive care unit; MV, mechanical ventilation.

Secondary outcomes of the current systematic review and meta-analysis. ∗Lactate clearance at all time-points did not differ among NMB groups (No specific data available). ICU, intensive care unit; MV, mechanical ventilation.

Discussion

This meta-analysis evaluated the safety and effectiveness of NMBA for CA survivors treated with TTM. The quality of the included studies was low to medium. The aggregated data showed a significant improvement in survival and neurological prognosis in prophylactic NMBA strategy compared to the absence of NMBA strategy. Subgroup analyses and sensitivity analyses confirmed these results. Also, there is no significant difference between the continuous NMBA and the bolus NMBA strategy. In addition, the NMBA strategy did not increase the patient’s hospital stay, duration of MV, the incidence of muscle weakness, and nosocomial infections.

Comparison With Previous Research

Our study found that NMBA is widely used in clinical practice, but there are differences in the strategies used and their associated clinical outcomes. The prophylactic NMBA strategy was mostly applied among the included studies, which is in line with a previous systematic review. That article included 68 IUCs in which NMBA were routinely used to prevent shivering in 54 ICUs while treat shivering in eight ICUs (Chamorro et al., 2010). The 2010 AHA guidelines for cardiopulmonary resuscitation and Emergency Cardiovascular Care stated that the duration of NMBA use should be minimized, and the NMBA depth should be monitored (Peberdy et al., 2010). However, these conclusions were inferences from expert opinion and other studies but not supported by clear evidence. The statement is prompted by concerns that NMDA might mask epileptic activity and limit neurological assessment. Since then, neither the AHA nor the European Resuscitation Council recommended routine use of NMBA during TTM in their 2015 guidelines (Callaway et al., 2015). In the latest clinical practice guidelines for continuous NMBA in critically ill adult patients, the routine use of NMBA is not recommended for patients receiving TTM after CA (insufficient evidence) (Murray et al., 2016). Meanwhile, it is recommended that NMBA can be used to treat significant shivering during TTM, a weak recommendation based on a post-hoc analysis of only one prospective observational study (111 patients in total) (Salciccioli et al., 2013). In our study, we added 11 newly published studies with a total sample size of 11,317 patients (Jurado and Gulbis, 2011; Snider et al., 2012; Salciccioli et al., 2013; Curtis et al., 2014; Lascarrou et al., 2014; Lee et al., 2017; Stöckl et al., 2017; Lee et al., 2018; May et al., 2018; Moskowitz et al., 2020; Hifumi et al., 2021; Takiguchi et al., 2021). Although high-quality RCTs are still lacking, our sample size allowed for better statistical power and different sensitivities and subgroup analyses. The results of subgroup analyses basing on various NMBA strategies also confirm our findings’ robustness. In addition, our results showed that using NMBA is safe, i.e., NMBA does not increase the length of stay, duration of MV, nosocomial infections, or muscle weakness in CA patients receiving TTM. Thus, our study partially fills a gap in the previous guidelines and provides additional evidence for clinical NMBA application.

Interpreting Our Findings

We found the prophylactic NMBA strategy significantly improved mortality and neurological outcome in CA survivors undergoing TTM. Several explanations might contribute to our findings. First, NMBA can effectively control shivering, which interferes with achieving target temperatures by generating heat and increases metabolic activity, oxygen consumption, and cerebral metabolic stress (De Witte and Sessler, 2002; Oddo et al., 2010). Several included studies reported reductions in shivering episodes during NMBA therapy (Stöckl et al., 2017; Moskowitz et al., 2020). Moskowitz et al. found approximately 40% of patients in the usual care group develop shivering and required NMBA rescue administration, while no shivering episodes were observed in the NMBA group Moskowitz et al. (2020). In another RCT, patients were randomized to receive either a continuous NMBA or an on-demand rocuronium bromide (Stöckl et al., 2017). The authors found that 94% of patients in the on-demand NMBA group had detectable shivering episodes compared to 25% receiving continuous rocuronium (p < 0.01) (Stöckl et al., 2017). The authors noted that shivering occurred throughout the TTM period, rather than just at a specific stage during the TTM course. In addition, shivering may also be invisible, manifesting as ECG artifacts, EMG activity, or delayed achievement of the target temperature (Seder et al., 2011). Thus, the prophylactic NMBA strategy may control invisible shivering, which attenuates the neuroprotective effects of TTM. Meanwhile, we should note one important potential bias in on-demand NMBA strategy, that is, shivering is a natural thermoregulatory response of the body to lowering the core temperature, but require the relatively intact brain function (Nair and Lundbye, 2013; Hovdenes et al., 2016). Thus, patients with more severe brain injury who did not present shivering would not gain NMBA when administered “on-demand” but would have worse outcomes due to more severe brain injury, not due to lack of NMBA. Second, our findings suggest the safety of NMBA regimens. The previous controversy over the use of NMBA was that NMBA might be associated with the risk of early-onset pneumonia and critical illness polyneuropathy (Price et al., 2012; Lascarrou et al., 2014). It also increases the duration of MV and hospital stay. However, our findings did not reveal these results. With the development of technologies such as MV weaning, percutaneous tracheotomy, and the management of ventilator-associated pneumonia and cardiopulmonary resuscitation, most ICUs have clear protocols for managing MV during TTM and the prevention and control of nosocomial pneumonia (Callaway et al., 2015). This reduces the finding of positive clinical outcomes of adverse events in the NMBA and control groups. At the same time, the included studies showed that NMBA did not increase muscle weakness during their stay in ICU (Stöckl et al., 2017; Lee et al., 2018). This favorable result can also be partly explained by the short duration of NMBA use in all these studies (approximately 24–37 h) (Jurado and Gulbis, 2011; Snider et al., 2012; Salciccioli et al., 2013; Curtis et al., 2014; Lee et al., 2017; Lee et al., 2018; Moskowitz et al., 2020; Hifumi et al., 2021; Takiguchi et al., 2021). Similarly, a recently published meta-analysis of short-term NMBA application for ARDS treatment failed to find a correlation between NMBA and acquired muscle weakness (Tarazan et al., 2020). However, we did not find a significant improvement in lactate levels after a prophylactic NMBA strategy. Previous theories believed that improved tissue perfusion and reduced metabolic demand were possible mechanisms for decreasing lactate levels following NMBA treatment (Salciccioli et al., 2013). Some authors explain that the duration of NMBA administration in the study was inconsistent across subjects, while the serum lactate levels were obtained at regular intervals at the specified times (Lascarrou et al., 2014). On the other hand, some patients in the control group also received a temporary bolus of NMBA for shivering episodes, which reduced lactate accumulation (Lee et al., 2018; Moskowitz et al., 2020). This may have weakened the perfusion and metabolic improvement effect in the NMDA group. We also found no significant reduction in the induction time of TTM, which might be due to the advances in cooling techniques and CPR management. As shown in the most included studies, the induction time was approximately 0.5–3 h, which might reduce shivering and other adverse events during that period (Curtis et al., 2014; Lee et al., 2017; Stöckl et al., 2017; Hifumi et al., 2021). Moreover, the initial lactate levels for the enrolling patients were not so high (1.4–3.6 mmol/L), which could partially explain the lack of differences in lactate clearance between groups (Salciccioli et al., 2013; Lascarrou et al., 2014; Lee et al., 2018; Moskowitz et al., 2020).

Research Limitations

Our study has several limitations. First, most of the included studies were retrospective, which greatly affected the causality of our study findings. Second, some included studies also recruited patients with IHCA (Lascarrou et al., 2014; Lee et al., 2017; May et al., 2018; Moskowitz et al., 2020; Takiguchi et al., 2021), who might not benefit from TTM and even had a worse prognosis (Chan et al., 2016). Therefore, the value of NMBA for patients with IHCA still needs to be further explored. Third, there was considerable heterogeneity in the TTM regimens among the included studies in terms of cooling modalities, sedation drugs, timing, and methods of shivering monitoring. For example, apart from NMBA, other strategies to prevent or control shivering involve sedative or opioid administration, often used instead if NMBA is avoided or eliminated (May et al., 2018). Deep sedation can delay extubation, ICU transfer, lead to an increased incidence of delirium or infection, confound neurological assessment, perhaps even inappropriate withdrawal of life support (Samaniego et al., 2011; Barr et al., 2013; Sandroni et al., 2014). However, all the included studies had not provided the potential impact of assessing sedation or opioid changes during NMBA used in TTM. Fourth, although we used subgroup and sensitivity analyses to explore possible confounding factors, our results may have been influenced by unmeasured confounding factors; and the sample sizes for some of the subgroup analyses were small. Meanwhile, a sensitivity analysis that included only three small RCTs did not benefit from a preventive NMB strategy over a without NMBA strategy. Fifth, the included studies spanned an extensive range of periods, during which CPR and CA guidelines have been updated several times. Sixth, some secondary outcomes need to be treated with caution. For example, most retrospective studies may not have recognized mild or moderate weakness during routine clinical care. Thus, more studies focusing on this are required in the future. Finally, the included CA patients had different underlying diseases, demographic characteristics and used different disease severity scoring criteria. However, due to the number of studies, we could not perform subgroup analyses to clarify this point further.

Conclusion

This meta-analysis indicates that prophylactic NMBA administration effectively reduces mortality and poor neurological outcome for comatose CA survivors during TTM. Continuous and intermittent NMBA has equal effectiveness in control shivering occurrence. However, due to the poor overall quality of current studies, further research with adequately powered RCTs is required to confirm our results.
  35 in total

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Authors:  Andreas Stang
Journal:  Eur J Epidemiol       Date:  2010-07-22       Impact factor: 8.082

Review 2.  Part 9: post-cardiac arrest care: 2010 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care.

Authors:  Mary Ann Peberdy; Clifton W Callaway; Robert W Neumar; Romergryko G Geocadin; Janice L Zimmerman; Michael Donnino; Andrea Gabrielli; Scott M Silvers; Arno L Zaritsky; Raina Merchant; Terry L Vanden Hoek; Steven L Kronick
Journal:  Circulation       Date:  2010-11-02       Impact factor: 29.690

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Authors:  Hasan M Al-Dorzi; Aiman El-Saed; Asgar H Rishu; Hanan H Balkhy; Ziad A Memish; Yaseen M Arabi
Journal:  Am J Infect Control       Date:  2012-02-07       Impact factor: 2.918

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Authors:  Toru Takiguchi; Hiroyuki Ohbe; Mikio Nakajima; Yusuke Sasabuchi; Takashi Tagami; Hiroki Matsui; Kiyohide Fushimi; Shoji Yokobori; Hideo Yasunaga
Journal:  J Crit Care       Date:  2021-01-14       Impact factor: 3.425

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Journal:  Crit Care Med       Date:  2016-11       Impact factor: 7.598

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Authors:  Sanjeev U Nair; Justin B Lundbye
Journal:  Resuscitation       Date:  2012-11-29       Impact factor: 5.262

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Authors:  Mauro Oddo; Suzanne Frangos; Eileen Maloney-Wilensky; W Andrew Kofke; Peter D Le Roux; Joshua M Levine
Journal:  Neurocrit Care       Date:  2010-02       Impact factor: 3.210

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Authors:  Jean Baptiste Lascarrou; Amélie Le Gouge; Jérome Dimet; Jean Claude Lacherade; Laurent Martin-Lefèvre; Maud Fiancette; Isabelle Vinatier; Christine Lebert; Konstantinos Bachoumas; Aihem Yehia; Matthieu Henry Lagarrigue; Gwenhael Colin; Jean Reignier
Journal:  Resuscitation       Date:  2014-06-02       Impact factor: 5.262

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Authors:  Larissa Shamseer; David Moher; Mike Clarke; Davina Ghersi; Alessandro Liberati; Mark Petticrew; Paul Shekelle; Lesley A Stewart
Journal:  BMJ       Date:  2015-01-02

10.  A fresh look at paralytics in the critically ill: real promise and real concern.

Authors:  David Price; Nicholas J Kenyon; Nicholas Stollenwerk
Journal:  Ann Intensive Care       Date:  2012-10-12       Impact factor: 6.925

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