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Impact of rewarming rate on interleukin-6 levels in patients with shockable cardiac arrest receiving targeted temperature management at 33 °C: the ISOCRATE pilot randomized controlled trial

Abstract

Purpose

While targeted temperature management (TTM) has been recommended in patients with shockable cardiac arrest (CA) and suggested in patients with non-shockable rhythms, few data exist regarding the impact of the rewarming rate on systemic inflammation. We compared serum levels of the proinflammatory cytokine interleukin-6 (IL6) measured with two rewarming rates after TTM at 33 °C in patients with shockable out-of-hospital cardiac arrest (OHCA).

Methods

ISOCRATE was a single-center randomized controlled trial comparing rewarming at 0.50 °C/h versus 0.25 °C/h in patients coma after shockable OHCA in 2016–2020. The primary outcome was serum IL6 level 24–48 h after reaching 33 °C. Secondary outcomes included the day-90 Cerebral Performance Category (CPC) and the 48-h serum neurofilament light-chain (NF-L) level.

Results

We randomized 50 patients. The median IL6 area-under-the-curve was similar between the two groups (12,389 [7256–37,200] vs. 8859 [6825–18,088] pg/mL h; P = 0.55). No significant difference was noted in proportions of patients with favorable day-90 CPC scores (13/25 patients at 0.25 °C/h (52.0%; 95% CI 31.3–72.2%) and 13/25 patients at 0.50 °C/h (52.0%; 95% CI 31.3–72.2%; P = 0.99)). Median NF-L levels were not significantly different between the 0.25 °C/h and 0.50 °C/h groups (76.0 pg mL, [25.5–3074.0] vs. 192 pg mL, [33.6–4199.0]; P = 0.43; respectively).

Conclusion

In our RCT, rewarming from 33 °C at 0.25 °C/h, compared to 0.50 °C/h, did not decrease the serum IL6 level after shockable CA. Further RCTs are needed to better define the optimal TTM strategy for patients with CA.

Trial registration ClinicalTrials.gov, NCT02555254. Registered September 14, 2015.

Take-Home Message: Rewarming at a rate of 0.25 °C/h, compared to 0.50 °C, did not result in lower serum IL6 levels after achievement of hypothermia at 33 °C in patients who remained comatose after shockable cardiac arrest. No associations were found between the slower rewarming rate and day-90 functional outcomes or mortality.

140-character Tweet: Rewarming at 0.25 °C versus 0.50 °C did not decrease serum IL6 levels after hypothermia at 33 °C in patients comatose after shockable cardiac arrest.

Introduction

The 2021 American Heart Association and European Resuscitation Council guidelines recommend: “actively preventing fever by targeting a temperature ≤ 37.5 °C for those patients who remain comatose after cardiac arrest followed by the return of spontaneous circulation (ROSC). Whether subpopulations of cardiac arrest patients may benefit from targeting hypothermia at 32–34 °C remains uncertain”. Moreover, the use of targeted temperature management (TTM) remains variable [1, 2], probably due in part to the paucity or poor quality of data on TTM strategies [3, 4]. That studies have produced conflicting efficacy data may be related to differences in various TTM components including rewarming parameters. Rewarming may be associated with myocardial function deterioration, a mismatch in oxygen consumption vs. delivery and, possibly, secondary neurological insults [5]. The most clinically significant rewarming parameter may be the rate of the temperature increase, which was 0.25–0.50 °C/h in the TTM1 and TTM2 trials [6, 7] and 0.4 °C/h and 0.66 °C/h in two other trials, respectively [8, 9]. To date, no randomized controlled trials (RCTs) have compared different rewarming rates.

The main goal of TTM at 32–36 °C in patients with coma after cardiac arrest is prevention of postcardiac arrest syndrome (PCAS) [6, 7]. A major feature of PCAS is systemic inflammation, of which interleukin-6 (IL6) is a key mediator. A post hoc analysis of data from the TTM1 trial [10] demonstrated significant IL6 elevation 24 h after cardiac arrest and a significant association between higher IL6 levels and greater severity of PCAS in both temperature groups (33 °C and 36 °C) [11]. Similarly, in two prospective observational studies of patients with out-of-hospital cardiac arrest (OHCA), IL6 elevation at ICU admission was independently associated with poorer functional outcomes [12, 13]. Thus, IL6 can probably serve as a marker for the severity of PCAS. Importantly, a study of multiple cytokines in 10 patients who were comatose after cardiac arrest suggested that hypothermia (32–34 °C) might not prevent the systemic inflammatory response and that rewarming might be associated with a proinflammatory effect [14]. Additional data on the effects of TTM parameters, notably the rewarming rate, on inflammation and IL6 levels are needed.

The objective of this single-center pilot RCT in patients managed with hypothermia at 33 °C for coma after OHCA in a shockable rhythm was to assess whether, compared to rewarming at 0.5 °C/h, slower rewarming at 0.25 °C/h was associated with lower serum IL6 levels.

Methods

The study was registered on ClinicalTrial.gov (NCT02555254) on September 14, 2015.

Trial design

The ISOCRATe (Impact of Speed Of rewarming after CaRdiac ArresT(e)) trial was an investigator-initiated, blinded-outcome-assessor, parallel-group, two-arm, pragmatic, single-center, RCT conducted in a medical-surgical ICU in France. The research protocol was approved by the appropriate ethic committee (Comité de Protection des Personnes Ouest 3, N°15-03-11). Written informed consent was obtained from the next of kin. When no next of kin was available, in compliance with French law, patients were included, informed of the study when they regained decision-making competency, and asked whether they wanted to remain in the trial; data from patients who requested full withdrawal were excluded from the analysis.

Patients

Eligible patients were adults (18 years of age or older) who were unconscious (Glasgow Coma Scale [GCS] score ≤ 8 at ICU admission) after OHCA in a shockable rhythm, due to any cause, and who received TTM at 33 °C with a closed-loop cooling device (Artic Sun, BD, Montigny le Bretonneux, France). In patients who were already sedated at ICU admission, the GCS score determined by the emergency physician just before sedative therapy initiation was used. Exclusion criteria were as follows: no-flow time (from collapse to initiation of external cardiac massage) > 10 min; low-flow time (from initiation of external cardiac massage to ROSC) > 60 min; major hemodynamic instability (defined as a continuous epinephrine or norepinephrine infusion at a flow rate > 1 µg/Kg/min); time from cardiac arrest to study inclusion > 300 min; moribund patient (patient deemed by the attending physician to be likely to die before the end of the TTM maintenance phase, i.e., before randomization); Child–Pugh C cirrhosis of the liver; treatment with an IL6 receptor antagonist (e.g., tocilizumab); treatment with > 5 mg prednisolone-equivalent at the time of cardiac arrest; age < 18 years; pregnancy or breastfeeding; correctional facility inmate; previous inclusion in another RCT on cardiac arrest with day-90 functional outcome as the primary endpoint; no coverage by the statutory French health insurance system; and refusal by next of kin.

Randomization and blinding

Patients were included at ICU admission. Randomization occurred at the end of the hypothermia maintenance phase, i.e., 18–24 h after reaching 33 °C (Additional file 1). This delay in randomization ensured that patients who died during hypothermia induction or maintenance, and who therefore had no IL6 data, were not included.

Patients were randomly allocated in a 1:1 ratio to either a 0.25 °C/h or 0.50 °C/h rewarming rate, using a web-based system accessible 24 h a day. The randomization sequence was generated by the statistician (ALG, who was not involved in patient recruitment), with permuted blocks of varying sizes and without stratification.

Blinding of the staff providing patient care was not feasible. However, the psychologist who assessed the day-90 outcomes in all patients was blinded to group assignment.

Targeted temperature management (TTM)

The study protocol involved standardization of several parameters including sedation, neuromuscular blockade [15], and the management of expected adverse events. A closed-loop cooling device was applied immediately after ICU admission (ArticSun). The target temperature was 33 °C, which was to be achieved as rapidly as possible then maintained for 24 h. Body temperature was monitored using an esophageal probe [16].

Concomitant medications/treatments in both groups

  1. (a)

    Sedation

    In both groups, all patients received sedation with midazolam combined with sufentanil according to the standard sedation protocol. Doses were adjusted to obtain a Richmond Agitation Sedation Scale score of -5 and were tapered when body temperature rose above 36 °C during the rewarming phase.

  2. (b)

    Shivering and neuromuscular blockade

Persistent shivering was treated according to a previously published three-step protocol [15], which was adapted from the bedside shivering assessment score (BSAS). The goal was BSAS ≤ 1. Step 1 was administration of a single intravenous bolus of a hypnotic agent and an opioid, in doses equal to the hourly infusion rates of hypnotic and opioid drugs (i.e., 5-mg intravenous midazolam bolus if the continuous midazolam infusion rate was 5 mg/h). In step 2, an intravenous bolus of a nondepolarizing neuromuscular blocker (i.e., 10 mg of cisatracurium) was given. Step 3 consisted of a continuous infusion of the same nondepolarizing neuromuscular blocker (i.e., cisatracurium in an initial dose of 10 mg/h) to achieve BSAS ≤ 1; during rewarming, the infusion was stopped when the core body temperature increased above 35 °C.

Intervention group: 0.25 °C/h rewarming rate

The rewarming rate on the closed-loop cooling device was set at 0.25 °C/h followed by maintenance at 37 °C for 24 h.

Control group: 0.50 °C/h rewarming rate

The rewarming rate on the closed-loop cooling device was set at 0.50 °C/h followed by maintenance at 37 °C for 24 h.

Functional prognostication and life-support withdrawal

All decisions to withdraw life-sustaining treatments were made according to current guidelines [6]. The decision-making process included routine evaluations of the functional prognosis based on multimodal parameters [7]. According to local policies, the intensivist in charge could obtain advice about the functional prognosis from an independent consultant.

Follow-up and outcomes

The primary outcome was serum IL6 between 24 and 48 h after reaching the target temperature of 33 °C. Serum IL6 was assayed at achievement of 33 °C (H0) then 12, 24, 36, 40, and 48 h later, in both groups (Additional file 1). Only IL6 levels measured after randomization were considered for the analysis.

The secondary outcomes included the proportion of patients with a favorable functional outcome on day 90, defined as a cerebral performance category (CPC) score of 1 or 2. The CPC scale ranges from 1 to 5, with 1 indicating good performance or minor disability, 2 moderate disability, 3 severe disability, 4 coma or vegetative state, and 5 brain death. The CPC was assessed during a semi-structured telephone interview by a single psychologist specifically trained for the study and blinded to the treatment group. Other secondary outcomes were ICU mortality, day-90 mortality, ICU stay length, and duration of mechanical ventilation (MV). At the same timepoints as for IL6, the following serum biomarkers were assayed: IL2, IL4, IL8, IL10, granulocyte–macrophage colony-stimulating factor (GM-CSF), tumor necrosis factor alpha (TNFα), C-reactive protein (CRP), and procalcitonin. The values were compared between the two groups, as well as serum neurofilament light chain (NF-L) assayed 48 h, and serum neuron-specific enolase (NSE) 48 h and 72 h, after the OHCA.

A Luminex Magpix-based assay (Procartaplex kit, ThermoFisher Scientific, Courtabœuf, France) was used to measure serum IL2, IL4, IL6, IL8, IL10, granulocyte–macrophage colony-stimulating factor (GM-CSF), and TNFα, with the Ella™ instrument calibrated using the in‐cartridge factory standard curve, according to the manufacturer’s instructions. Serum NF-L was assayed using the Ella Simple Plex™ system (Protein Simple kit, Bio-Techne, Rennes, France) according to the manufacturer’s instructions [17].

Sample size

The sample size was estimated as recommended by others for outcomes consisting in repeated measures [18, 19]. We expected that the mean IL6 level at 48 h would be 100 pg/mL in the 0.25 °C/h group and 15% higher, i.e., 115 pg/mL, in the 0.50 °C/h group, based on an earlier study [14]. We assumed a correlation of 0.85 between two IL6 values in a given patient, which was less accurate than the 0.89 correlation estimated by the assay manufacturer. Assuming a standard deviation of 40 pg/mL for the mean IL6 value, with the Type I error set at 0.05 and the Type II error set at 0.10, 25 patients were required in each arm to detect a 15 pg/mL difference between the two study arms. We expected about 20% of patients to die from refractory shock before randomization [20] and therefore planned to include 30 patients in each arm. This method complied with published information on sample size estimation for pilot trials [21].

Statistical analysis

Categorical variables were described as number (percentage) and continuous variables as median [interquartile range].

To assess the intervention effect on the primary outcome, we used the trapezoidal rule to estimate the areas under the curves (AUCs) of serum IL6 levels 24–48 h after reaching 33 °C, and we compared these AUCs between the two groups by applying Wilcoxon’s rank test. Median IL6 levels at each time point were also compared using Wilcoxon’s rank test.

The primary outcome defined on ClinicalTrials.gov (NCT02555254) was measured between H0 (achievement of 33 °C) and H48, but patients were randomized between H18 and H24 (initiation of rewarming). We did not compare IL6 levels before randomization, in accordance with recommendations about RCTs [22].

Serum assays of biomarkers that were secondary outcomes (i.e., IL2, IL4, IL8, GM-CSF, and TNFα) were dichotomized based on the detection threshold, reported as n (%), and compared between the two groups using Fisher’s exact test. Continuous secondary outcomes were described as median [interquartile range] and compared using Wilcoxon’s rank test. Secondary outcomes reported as cumulative incidences were analysed using the competing risks approach, with ICU discharge and hospital discharge as the competing risks.

Clinical baseline characteristics regarding coronary revascularization, and clinical events qualified as adverse events were added as post hoc analysis on reviewer request without statistical testing performed.

No imputation strategy for missing data was used. SAS version 9.4 (SAS Institute, Cary, NC) and R version 3.3.1 were used for the statistical analyses. For this pilot exploratory trial, we did not adjust P values for multiple testing [23]. Therefore, the results for the secondary outcomes should be interpreted as exploratory.

Results

Patients

Of 399 patients assessed for eligibility between February 12, 2016, and May 15, 2020, 58 were included and 50 were randomized. No patient withdrew consent (Fig. 1). A descriptive comparison of included but not randomized vs. included and randomized patients is provided in Additional file 2. Table 1 lists the main baseline characteristics of the randomized patients.

Fig. 1
figure 1

Patient flowchart

Table 1 Baseline characteristics of the study participants

Targeted temperature management (TTM)

The median [interquartile range] time from randomization to rewarming initiation was 4.5 [3.3–5.8] hours in the 0.25 °C/h group and 5.0 [3.3–5.4] hours in the 0.50 °C/h group. The median time from rewarming initiation and achievement of a body temperature of 37 °C was 16.5 [15.2–17.6] hours in the 0.25 °C/h group and 8.8 [8.2–10.2] hours in the 0.50 °C/h group. Figure 2 shows the body temperature time-course in each group and Additional file 3 the proportions of patients with fever in each group.

Fig. 2
figure 2

Body temperature during hypothermia and rewarming at 0.25 °C/h or 0.50 °C/h. The solid lines indicate the mean values and the bars the mean±2SDs (95% of the recorded values were within the bars). H0 is the time of ICU admission

Primary outcome

The median AUC for serum IL6 levels over time did not differ significantly between the 0.25 °C/h and 0.50 °C/h groups (12,389 pg/mL·h, [7256–37,200] vs. 8859 [6825–18,088]; P = 0.55). One patient died between H32 and H40 and was not included in this analysis given the absence of data for the H40 and H48 time points. The IL6 levels at each time point are reported in Additional file 4 and the IL6 level time-course in Fig. 3.

Fig. 3
figure 3

Time-course of serum interleukin-6 levels in the groups allocated at random to rewarming at 0.25 °C/h or 0.50 °C/h. The line inside the box indicates the median value, the bottom and top edges of the box indicate the intra-quartile range, and the circles show outliers. IL6 data were log-transformed to improve readability. H0 was the time of ICU admission

Secondary outcomes

Except for IL2 at H40, the secondary-outcome biomarker levels were not significantly different between the two groups (Additional file 5). Median NF-L at H48 was 76.0 [25.5; 3074.0] pg/mL in the 0.25 °C/h group and 192 pg/mL [33.6; 4199.0] in the 0.50 °C/h group (P = 0.43). Median NSE at H48 was 27.2 [17.3; 83.8] ng/mL in the 0.25 °C/h group and 22.0 [16.1; 73.6] ng/mL in the 0.50 °C/h group (P = 0.77). Median NSE at H72 was 15.6 ng/mL [11.7; 58.2] and 14.1 [10.8; 112.1] ng/mL in the 0.25 and 0.50 °C/h groups, respectively (P = 0.62) (Additional file 6).

On day 90 after randomization, the number of patients with a CPC score of 1 or 2 was 13 in both groups (52.0 vs. 52.0; 95% CI − 25.8; 25.8) (Fig. 4).

Fig. 4
figure 4

Distribution of Cerebral Performance Category scores in each group

ICU mortality was not significantly different between the two groups, with a hazard ratio (HR) in the 0.25 °C/h group vs. the 0.50 °C/h group of 1.43 (95% CI 0.62; 3.32; P = 0.41). Neither was there any significant difference for in-hospital mortality (HR 1.43; 95% CI 0.62; 3.32; P = 0.41). ICU and hospital lengths of stay and MV duration are reported in Additional file 7.

Tertiary and exploratory outcomes

Additional file 8 reports the proportions of patients with hypokalemia, hyperkalemia, hypoglycemia, and hyperglycemia. The proportions of patients with severe cardiac arrhythmias are given in Additional file 9 and changes over time in the cardiovascular Sequential Organ Failure Assessment score in Additional file 10.

Discussion

In this single-center RCT, a slow rewarming rate of 0.25 °C/h after hypothermia at 33 °C in patients who were comatose after shockable OHCA did not significantly decrease serum IL6 levels compared to rewarming at 0.5 °C. The rewarming rate was not associated with significant differences in NF-L levels at H48 or functional outcome on day 90.

Whereas several RCTs have evaluated the role for TTM in patients who remain comatose after cardiac arrest [8,9,10, 22], none focused on the rewarming rate [5]. Observational data are conflicting. An ancillary analysis of data from a multicenter prospective cohort study found a significant association between very slow rewarming at a median of 0.045 °C/h from 34 to 36 °C and a CPC of 1 or 2 at hospital discharge [24]. In a retrospective study of 71 patients who received TTM with a target of 34 °C or lower after OHCA, the CPC score at 1 month was not significantly different between the groups rewarmed at 0.15 °C/h versus 0.25 °C/h [25]. Another retrospective cohort study found no significant difference in the Glasgow Outcome Scale score at 6 months between the groups with rewarming rates < 0.5 °C/h or ≥ 0.5 °C/h [26]. Differences in case-mix and in care delivered during TTM [15, 27], together with residual confounding, complicate the interpretation of these results. This probably explains why the 2021 update of guidelines for cardiac arrest make no recommendations about the rewarming rate [7].

Our primary outcome was a surrogate, i.e., serum IL6 levels. Current guidelines recommend day-90 functional outcome determined by blinded assessors as the primary outcome for trials of TTM after cardiac arrest. However, given the paucity of data on rewarming rates, for this pilot trial, we chose a primary outcome that required a far smaller sample size, to help in designing a future RCT with day-90 functional status as the primary outcome. Higher IL6 values have been reported to be associated with higher mortality, worse PCAS, and CPC of 3–5 at 12 months [11, 12]. In a clinical RCT of patients with OHCA, the IL6-receptor antagonist tocilizumab decreased systemic inflammation and myocardial injury without improving the functional outcome, which was not, however, the primary endpoint [28, 29]. Finally, the IL6 half-life of less than 1 h means that rapid changes in IL6 levels can be readily detected by serial assays [30].

In our study, NF-L levels 48 h after hypothermia initiation were not significantly different between the 0.25 °C/h and 0.50 °C/h rewarming groups. Recent data indicate a strong association between NF-L levels and the functional prognosis after cardiac arrest. A post hoc analysis of TTM trial data demonstrated better neuroprognostication performance of serum NF-L levels 24–72 h after cardiac arrest compared to many of the established parameters [31]. When added to a set of already available parameters (including NSE), NF-L 24–72 h after cardiac arrest improved the prognostic performance of a machine-learning algorithm [32]. NF-L was also an accurate and early predictor of long-term functional outcomes in the COMACARE trial in patients after OHCA [33].

The total hypothermia dose may deserve to be considered instead of the duration of induction, maintenance, and/or rewarming. If rewarming is slow, then the time spent in hypothermia is longer, amounting to a longer maintenance phase [5]. Retrospective data suggest that a higher hypothermia dose may be required to be effective in patients with longer no-flow times, i.e., worse anoxic-ischemic injuries [34]. In the recent HYPERION trial in patients seen after cardiac arrest in nonshockable rhythms, hypothermia at 33 °C for 24 h followed by rewarming at 0.22 °C/h improved day-90 functional outcomes compared to targeted normothermia [22, 35]. Nonetheless, studies assessing the links between the severity of hypoxic brain injury and the dose of hypothermia are conflicting [36,37,38]. Additionally, previous reports pooled patients managed with passive rewarming and active rewarming [8, 9]. Finally, the absence in many study reports of data on patient characteristics such as body mass index and on the cooling and warming devices used constitutes a major obstacle to meta-analyses.

Our trial has several limitations. Patient recruitment occurred at a single center. However, this pilot trial allowed us to confirm the feasibility of delayed randomization [39] of the rewarming rate to avoid including patients who died during hypothermia induction or maintenance and who consequently could not receive the allocated rewarming rate. We included only patients with OHCA in a shockable rhythm, although patients with a nonshockable rhythm may benefit the most from high doses of hypothermia [22]. Finally, we used a surrogate as the primary outcome. A larger sample would have been needed to compare functional outcomes, such the modified Rankin scale score, as recommended by COSCA guidelines [40]. Finally, the results of the recent TTM2 trial [41] may lead to a reduction in the use of targeted hypothermia (between 32 and 34 °C), since no survival advantage was found. Nevertheless, our results may help to determine the optimal rewarming strategy (including the prevention of fever).

Conclusion

In conclusion, compared to rewarming at 0.5 °C/H, rewarming at 0.25 °C/h after hypothermia at 33 °C for 24 h did not decrease serum IL6 levels in patients who remained comatose after cardiac arrest in a shockable rhythm. Further RCTs are needed to better define the optimal TTM modalities for patients with cardiac arrest.

Availability of data and materials

The study data will be available from the corresponding author upon reasonable request.

Code availability

Not applicable.

References

  1. Lascarrou JB, Dumas F, Bougouin W, Chocron R, Beganton F, Legriel S, et al. Temporal trends in the use of targeted temperature management after cardiac arrest and association with outcome: insights from the Paris Sudden Death Expertise Centre. Crit Care. 2019;23:391.

    Article  Google Scholar 

  2. Bradley SM, Liu W, McNally B, et al. Temporal trends in the use of therapeutic hypothermia for out-of-hospital cardiac arrest. JAMA Netw Open. 2018;1:e184511.

    Article  Google Scholar 

  3. Taccone FS, Picetti E, Vincent J-L. High quality targeted temperature management (TTM) after cardiac arrest. Crit Care Lond Engl. 2020;24:6.

    Article  Google Scholar 

  4. Taccone FS, Lascarrou J-B, Skrifvars MB. Targeted temperature management and cardiac arrest after the TTM-2 study. Crit Care Lond Engl. 2021;25:275.

    Article  Google Scholar 

  5. Nielsen N, Kirkegaard H. Rewarming: the neglected phase of targeted temperature management. Resuscitation. 2020;146:249–50.

    Article  Google Scholar 

  6. Panchal AR, Bartos JA, Cabañas JG, Donnino MW, Drennan IR, Hirsch KG, et al. Part 3: adult basic and advanced life support: 2020 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circul Am Heart Assoc. 2020;142:S366-468.

    Google Scholar 

  7. Nolan JP, Sandroni C, Böttiger BW, Cariou A, Cronberg T, Friberg H, et al. European Resuscitation Council and European Society of Intensive Care Medicine guidelines 2021: post-resuscitation care. Intensive Care Med. 2021;47:369–421.

    Article  Google Scholar 

  8. The Hypothermia after Cardiac Arrest Study Group. Mild therapeutic hypothermia to improve the neurologic outcome after cardiac arrest. N Engl J Med. 2002;346:549–56.

    Article  Google Scholar 

  9. Bernard SA, Gray TW, Buist MD, Jones BM, Silvester W, Gutteridge G, et al. Treatment of comatose survivors of out-of-hospital cardiac arrest with induced hypothermia. N Engl J Med. 2002;346:557–63.

    Article  Google Scholar 

  10. Nielsen N, Wetterslev J, Cronberg T, Erlinge D, Gasche Y, Hassager C, et al. Targeted temperature management at 33 degrees C versus 36 degrees C after cardiac arrest. N Engl J Med. 2013;369:2197–206.

    Article  CAS  Google Scholar 

  11. Bro-Jeppesen J, Kjaergaard J, Stammet P, Wise MP, Hovdenes J, Åneman A, et al. Predictive value of interleukin-6 in post-cardiac arrest patients treated with targeted temperature management at 33 °C or 36 °C. Resuscitation. 2016;98:1–8.

    Article  Google Scholar 

  12. Vaahersalo J, Skrifvars MB, Pulkki K, Stridsberg M, Rosjo H, Hovilehto S, et al. Admission interleukin-6 is associated with post resuscitation organ dysfunction and predicts long-term neurological outcome after out-of-hospital ventricular fibrillation. Resuscitation. 2014.

  13. Chong JY, Ahn HJ, Park JS, You Y, Min JH, Jeong W, et al. Interleukin-6 as a potential predictor of neurologic outcomes in cardiac arrest survivors who underwent target temperature management. J Emerg Med. 2020;59:828–35.

    Article  Google Scholar 

  14. Bisschops LL, Hoedemaekers CW, Mollnes TE, van der Hoeven JG. Rewarming after hypothermia after cardiac arrest shifts the inflammatory balance. Crit Care Med. 2012;40:1136–42.

    Article  Google Scholar 

  15. Lascarrou JB, Le Gouge A, Dimet J, Lacherade JC, Martin-Lefevre L, Fiancette M, et al. Neuromuscular blockade during therapeutic hypothermia after cardiac arrest: observational study of neurological and infectious outcomes. Resuscitation. 2014;85:1257–62.

    Article  Google Scholar 

  16. Knapik P, Rychlik W, Duda D, Golyszny R, Borowik D, Ciesla D. Relationship between blood, nasopharyngeal and urinary bladder temperature during intravascular cooling for therapeutic hypothermia after cardiac arrest. Resuscitation. 2012;83:208–12.

    Article  Google Scholar 

  17. Gauthier A, Viel S, Perret M, Brocard G, Casey R, Lombard C, et al. Comparison of SimoaTM and EllaTM to assess serum neurofilament-light chain in multiple sclerosis. Ann Clin Transl Neurol. 2021;8:1141–50.

    Article  CAS  Google Scholar 

  18. Borm GF, Fransen J, Lemmens WAJG. A simple sample size formula for analysis of covariance in randomized clinical trials. J Clin Epidemiol. 2007;60:1234–8.

    Article  Google Scholar 

  19. Vickers AJ. How many repeated measures in repeated measures designs? Statistical issues for comparative trials. BMC Med Res Methodol. 2003;3:22.

    Article  Google Scholar 

  20. Lemiale V, Dumas F, Mongardon N, Giovanetti O, Charpentier J, Chiche JD, et al. Intensive care unit mortality after cardiac arrest: the relative contribution of shock and brain injury in a large cohort. Intensive Care Med. 2013;39:1972–80.

    Article  Google Scholar 

  21. Sim J, Lewis M. The size of a pilot study for a clinical trial should be calculated in relation to considerations of precision and efficiency. J Clin Epidemiol. 2012;65:301–8.

    Article  Google Scholar 

  22. Lascarrou JB, Merdji H, Le Gouge A, Colin G, Grillet G, Girardie P, et al. Targeted temperature management for cardiac arrest with nonshockable rhythm. N Engl J Med. 2019.

  23. Li G, Taljaard M, Van den Heuvel ER, Levine MA, Cook DJ, Wells GA, et al. An introduction to multiplicity issues in clinical trials: the what, why, when and how. Int J Epidemiol. 2017;46:746–55.

    Article  Google Scholar 

  24. Hifumi T, Inoue A, Kokubu N, Hase M, Yonemoto N, Kuroda Y, et al. Association between rewarming duration and neurological outcome in out-of-hospital cardiac arrest patients receiving therapeutic hypothermia. Resuscitation. 2020;146:170–7.

    Article  Google Scholar 

  25. Cho E, Lee SE, Park E, Kim H-H, Lee JS, Choi S, et al. Pilot study on a rewarming rate of 0.15°C/hr versus 0.25°C/hr and outcomes in post cardiac arrest patients. Clin Exp Emerg Med. 2019;6:25–30.

  26. Bouwes A, Robillard LB, Binnekade JM, de Pont AC, Wieske L, Hartog AW, et al. The influence of rewarming after therapeutic hypothermia on outcome after cardiac arrest. Resuscitation. 2012.

  27. Martin M, Reignier J, Le Thuaut A, Lacherade JC, Martin-Lefevre L, Fiancette M, et al. Nutrition during targeted temperature management after cardiac arrest: observational study of neurological outcomes and nutrition tolerance. JPEN J Parenter Enter Nutr. 2020;44:138–45.

    Article  Google Scholar 

  28. Ultrafast Hypothermia Selectively Mitigates the Early Humoral Response After Cardiac Arrest. J Am Heart Assoc. 2021. https://doi.org/10.1161/JAHA.120.017413.

  29. Treatment effects of interleukin-6 receptor antibodies for modulating the systemic inflammatory response after out-of-hospital cardiac arrest (The IMICA Trial): A double-blinded, placebo-controlled, single-center, randomized clinical trial. Circulation. 2021. https://doi.org/10.1161/CIRCULATIONAHA.120.053318

  30. Oda S, Hirasawa H, Shiga H, Nakanishi K, Matsuda K, Nakamua M. Sequential measurement of IL-6 blood levels in patients with systemic inflammatory response syndrome (SIRS)/sepsis. Cytokine. 2005;29:169–75.

    Article  CAS  Google Scholar 

  31. Moseby-Knappe M, Mattsson N, Nielsen N, Zetterberg H, Blennow K, Dankiewicz J, et al. Serum neurofilament light chain for prognosis of outcome after cardiac arrest. JAMA Neurol. 2019;76:64–71.

    Article  Google Scholar 

  32. Andersson P, Johnsson J, Björnsson O, Cronberg T, Hassager C, Zetterberg H, et al. Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm. Crit Care. 2021;25:83.

    Article  Google Scholar 

  33. Wihersaari L, Ashton NJ, Reinikainen M, Jakkula P, Pettilä V, Hästbacka J, et al. Neurofilament light as an outcome predictor after cardiac arrest: a post hoc analysis of the COMACARE trial. Intensive Care Med. 2020.

  34. Testori C, Sterz F, Holzer M, Losert H, Arrich J, Herkner H, et al. The beneficial effect of mild therapeutic hypothermia depends on the time of complete circulatory standstill in patients with cardiac arrest. Resuscitation. 2012;83:596–601.

    Article  Google Scholar 

  35. Lascarrou J-B, Miailhe A-F, le Gouge A, Cariou A, Dequin P-F, Reignier J, et al. NSE as a predictor of death or poor neurological outcome after non-shockable cardiac arrest due to any cause: ancillary study of HYPERION trial data. Resuscitation. 2021;158:193–200.

    Article  Google Scholar 

  36. Sawyer KN, Humbert A, Leroux BG, Nichol G, Kudenchuk PJ, Daya MR, et al. Relationship between duration of targeted temperature management, ischemic interval, and good functional outcome from out-of-hospital cardiac arrest. Crit Care Med. 2020;48:370–7.

    Article  Google Scholar 

  37. Sawyer KN, Kurz MC, Elswick RK, Virginia Commonwealth University AI. An investigation of a hypothermic to ischemic ratio in patients following out-of-hospital cardiac arrest presenting with a shockable rhythm. Ther Hypothermia Temp Manag. 2014;4:72–8.

  38. Kjaergaard J, Nielsen N, Winther-Jensen M, Wanscher M, Pellis T, Kuiper M, et al. Impact of time to return of spontaneous circulation on neuroprotective effect of targeted temperature management at 33 or 36 degrees in comatose survivors of out-of hospital cardiac arrest. Resuscitation. 2015;96:310–6.

    Article  Google Scholar 

  39. Kirkegaard H, Soreide E, de Haas I, Pettila V, Taccone FS, Arus U, et al. Targeted temperature management for 48 vs 24 hours and neurologic outcome after out-of-hospital cardiac arrest: a randomized clinical trial. JAMA. 2017;318:341–50.

    Article  Google Scholar 

  40. Haywood K, Whitehead L, Nadkarni VM, Achana F, Beesems S, Böttiger BW, et al. COSCA (Core Outcome Set for Cardiac Arrest) in adults: an advisory statement from the International Liaison Committee on Resuscitation. Resuscitation. 2018;127:147–63.

    Article  Google Scholar 

  41. Dankiewicz J, Cronberg T, Lilja G, Jakobsen JC, Levin H, Ullén S, et al. Hypothermia versus normothermia after out-of-hospital cardiac arrest. N Engl J Med. 2021;384:2283–94.

    Article  Google Scholar 

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Acknowledgements

We are grateful to A. Wolfe, MD, for assistance in preparing and reviewing the manuscript; S. Martin PharmD, for reviewing the manuscript; S. Brit and F. Musset for managing the database; and I. Gralepois for performing the day-90 functional evaluations. We thank the contributors to the AfterROSC Network: M. Azais MD Medical Intensive Care Unit, District Hospital Center, La Roche sur Yon (France). K. Bachoumas MD Medical Intensive Care Unit, District Hospital Center, La Roche sur Yon (France). A. Bailly MD Medical Intensive Care Unit, District Hospital Center, La Roche sur Yon (France). L. Camous MD Medical Intensive Care Unit, District Hospital Center, La Roche sur Yon (France). G. Colin MD Medical Intensive Care Unit, District Hospital Center, La Roche sur Yon (France). L. Crosby MD Medical Intensive Care Unit, District Hospital Center, La Roche sur Yon (France). M. Fiancette MD Medical Intensive Care Unit, District Hospital Center, La Roche sur Yon (France). M. Henry Lagarrigue MD Medical Intensive Care Unit, District Hospital Center, La Roche sur Yon (France). J.C. Lacherade MD Medical Intensive Care Unit, District Hospital Center, La Roche sur Yon (France). J.B. Lascarrou MD Medical Intensive Care Unit, District Hospital Center, La Roche sur Yon (France). C. Lebert MD Medical Intensive Care Unit, District Hospital Center, La Roche sur Yon (France). L. Martin Lefevre MD Medical Intensive Care Unit, District Hospital Center, La Roche sur Yon (France). C. Pouplet MD Medical Intensive Care Unit, District Hospital Center, La Roche sur Yon (France). J. Reignier MD Medical Intensive Care Unit, District Hospital Center, La Roche sur Yon (France). A. Seguin MD Medical Intensive Care Unit, District Hospital Center, La Roche sur Yon (France). I. Vinatier MD Medical Intensive Care Unit, District Hospital Center, La Roche sur Yon (France), and A. Yehia MD Medical Intensive Care Unit, District Hospital Center, La Roche sur Yon (France).

Funding

This study was funded by independent research grants from the nonprofit public healthcare institution Centre Hospitalier Departement de la Vendée. The funder had no role in the study design or conduct; data collection, management, analysis, or interpretation; preparation, review, or approval of the manuscript; or decision to submit the manuscript for publication.

Author information

Authors and Affiliations

Authors

Consortia

Contributions

JBL had full access to all the study data and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: JBL. Acquisition of data: JBL, CP, JR, JCL, GC. Analysis and interpretation of data: JBL, EG, GC. Drafting of the manuscript: JBL, EG, GC. Critical revision of the manuscript for important intellectual content: All authors. Statistical analysis: EG. Obtained funding: JBL. Administrative, technical or material support: JBL. Study supervision: JBL. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Jean-Baptiste Lascarrou.

Ethics declarations

Ethics approval and consent to participate

The research protocol was approved by the appropriate ethics committees (Comité de Protection des Personnes Ouest 3, N°15-03-11). Written informed consent was obtained from the next of kin. When no next of kin was available, in compliance with French law, patients were included, informed of the study when they regained decision-making competency, and asked whether they wanted to remain in the trial; data from patients who requested full withdrawal were excluded from the analysis.

Consent for publication

Not applicable.

Competing interests

All authors have completed and submitted the ICMJE Form for disclosure of potential conflicts of interest. Dr Lascarrou received lecture fees from BD and Zoll. None of the other authors have any conflicts of interest to declare.

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Supplementary Information

Additional file 1

: Randomization window and blood sampling

Additional file 2

: Baseline characteristics of patients assessed for eligibility

Additional file 3

: Proportion of febrile patients

Additional file 4

: Time-course of serum IL6 levels

Additional file 5

: Time-course of the other biomarkers

Additional file 6

: Comparison of NSE on days 2 and 3

Additional file 7

: Outcomes

Additional file 8

: Proportions of patients with metabolic disorders

Additional file 9

: Proportions of patients with severe cardiac arrhythmias

Additional file 10

: Evolution of cardiovascular of SOFA score in both groups

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Lascarrou, JB., Guichard, E., Reignier, J. et al. Impact of rewarming rate on interleukin-6 levels in patients with shockable cardiac arrest receiving targeted temperature management at 33 °C: the ISOCRATE pilot randomized controlled trial. Crit Care 25, 434 (2021). https://doi.org/10.1186/s13054-021-03842-9

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