Next Article in Journal
Emerging Protein Biomarkers for the Diagnosis or Prediction of Gestational Diabetes—A Scoping Review
Previous Article in Journal
Brain Glucose Metabolism in Health, Obesity, and Cognitive Decline—Does Insulin Have Anything to Do with It? A Narrative Review
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Comparison of Prognostic Performance between Neuron-Specific Enolase and S100 Calcium-Binding Protein B Obtained from the Cerebrospinal Fluid of Out-of-Hospital Cardiac Arrest Survivors Who Underwent Targeted Temperature Management

1
Department of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon 35015, Korea
2
Department of Emergency Medicine, College of Medicine, Chungnam National University, Daejeon 35015, Korea
3
Department of Emergency Medicine, Chungnam National University Sejong Hospital, 20, Bodeum 7-ro, Sejong 30099, Korea
*
Author to whom correspondence should be addressed.
Changshin Kang and Wonjoon Jeong contributed equally to this work.
J. Clin. Med. 2021, 10(7), 1531; https://doi.org/10.3390/jcm10071531
Submission received: 15 February 2021 / Revised: 27 March 2021 / Accepted: 5 April 2021 / Published: 6 April 2021
(This article belongs to the Section Emergency Medicine)

Abstract

:
We compared the prognostic performances of serum neuron-specific enolase (sNSE), cerebrospinal fluid (CSF) NSE (cNSE), and CSF S100 calcium-binding protein B (cS100B) in out-of-hospital cardiac arrest (OHCA) survivors. This prospective observational study enrolled 45 patients. All samples were obtained immediately and at 24 h intervals until 72 h after the return of spontaneous circulation. The inter- and intragroup differences in biomarker levels, categorized by 3 month neurological outcome, were analyzed. The prognostic performances were evaluated with receiver operating characteristic curves. Twenty-two patients (48.9%) showed poor outcome. At all-time points, sNSE, cNSE, and cS100B were significantly higher in the poor outcome group than in the good outcome group. cNSE and cS100B significantly increased over time (baseline vs. 24, 48, and 72 h) in the poor outcome group than in the good outcome group. sNSE at 24, 48, and 72 h showed significantly lower sensitivity than cNSE or cS100B. The sensitivities associated with 0 false-positive rate (FPR) for cNSE and cS100B were 66.6% vs. 45.5% at baseline, 80.0% vs. 80.0% at 24 h, 84.2% vs. 94.7% at 48 h, and 88.2% (FPR, 5.0%) vs. 94.1% at 72 h. High cNSE and cS100B are strong predictors of poor neurological outcome in OHCA survivors. Multicenter prospective studies may determine the generalizability of these results.

1. Introduction

Despite numerous medical studies and clinical efforts to improve the prognosis of cardiac arrest (CA) survivors with successful return of spontaneous circulation (ROSC), achieving competent mortality and neurological outcomes in this patient population remains challenging [1]. In a previously published report, only 8% of patients showed good neurological outcomes after receiving post-cardiac arrest service for out-of-hospital cardiac arrest (OHCA) [2]. Since most comatose patients with poor neurological outcomes are considered eligible for withdrawal of life-sustaining treatment (WLST), accurate neurological prognostication is of utmost importance to avoid futile treatments in patients destined for poor outcome and inappropriate WLST in patients who may have a chance of neurological recovery [1].
For these reasons, many studies have attempted to develop accurate and efficient neurological prognostication in CA survivors. In particular, various biomarkers have been investigated because of their advantages over other tools, such as the ability to obtain quantitative results and the likely independence from the effects of sedatives [3]. A number of studies reported that neuron-specific enolase (NSE) and S100 calcium-binding protein B (S100B), which are released due to brain injury, are associated with neurological outcome in OHCA survivors [4,5,6,7]. However, the accuracy and efficiency of serum values remain debatable because the serum samples obtained for measurement of these biomarkers are often contaminated [1,8]. Thus, cerebrospinal fluid (CSF) samples have been suggested as an alternative to reduce contamination, despite the difficulty in obtaining them [1]. Our previously published study showed that, in comparison with serum NSE evaluations, assessments of CSF NSE concentrations could yield earlier and more accurate prognostication in OHCA survivors treated with targeted temperature management (TTM) [9].
S100B, which shows biochemically different characteristics from NSE, such as a lower molecular weight (10.7–21 vs. 78 kDa) and shorter half-life (2.0 vs. 24 h), has also been reported to be a useful additional biomarker for neurological prognostication in OHCA survivors [10,11,12]. However, to the best of our knowledge, CSF S100B has not been assessed as a prognostic biomarker in OHCA survivors. Therefore, this study aimed to assess the usefulness of CSF S100B as a prognostic biomarker and to compare the neurological prognostic performance of CSF NSE and S100B in OHCA survivors. In addition, the prognostic performance of serum NSE, which is a recommended prognostic biomarker in CA survivors according to current international guideline [13], was analyzed at the same time points to clearly compare the prognostic values of these CSF biomarkers.

2. Patients and Methods

2.1. Study Design and Patients

The present study was performed prospectively on adult comatose OHCA survivors treated with TTM at Chungnam National University Hospital (CNUH) in Daejeon between February 2019 and August 2020. This study was approved by the CNUH Institutional Review Board (CNUH-2017-10-027), and informed consent was obtained from the patients’ designated decision-makers prior to enrolment. Patients were subsequently excluded if the patient’s next of kin declined provision of further treatment after CA or if the patients (1) were younger than 18 years, (2) had experienced CA due to trauma, (3) failed to maintain a temperature of 33 °C for TTM due to unstable hemodynamics, (4) were ineligible for lumbar catheter placement (e.g., no consent from the patient’s family; needed to maintain anticoagulation or antiplatelet therapy after early percutaneous coronary intervention or extracorporeal membrane oxygenation; or showed severe brain edema in imaging studies, such as obliteration of the basal cisterns, pseudo-subarachnoid hemorrhage, and visible intracranial mass), (6) had a medical history of cerebral disease (e.g., dementia, cerebral infarction, cerebral hemorrhage, parkinsonism, or brain tumor).

2.2. Target Temperature Management Protocol

Patients were managed according to our previously published TTM protocol [14]. In this protocol, TTM was induced using ice packs; intravenous cold saline; and TTM devices, namely, Arctic Sun® and Energy Transfer Pads™ (Bard Medical, Louisville, CO, USA). A target temperature of 33 °C was maintained for 24 h and monitored with a bladder probe. Upon completion of the TTM-maintenance phase, the patients were rewarmed at a rate of 0.25 °C per hour to 37 °C. Midazolam (0.05 mg/kg intravenous bolus, followed by a titrated intravenous continuous infusion of 0.05–0.2 mg/kg/h) and cisatracurium (0.15 mg/kg intravenous bolus, followed by an infusion of up to 0.3 mg/kg/h) were administered for sedation and to control shivering. All patients received standard intensive care according to our institutional intensive care unit protocol.

2.3. Measurement of NSE and S100B Values Obtained from Both Serum and Cerebrospinal Fluid

All serum and CSF samples were repeatedly obtained, immediately and at 24 h intervals until 72 h (sNSEi,24,48,72, cNSEi,24,48,72, and cS100Bi,24,48,72) after ROSC via venipuncture and lumbar catheter drainage, respectively. The procedure for lumbar catheterization was performed with the patient lying in the lateral decubitus position, with the neck, hips, and knees flexed. The lumbar catheter was inserted using a Hermetic TM lumbar accessory kit (Integra Neurosciences, Plainsboro, NJ, USA) under aseptically guided sonography by an expert physician. All samples were analyzed at one laboratory, namely Green Cross Laboratory (GC Labs; Yongin, Geonggi-do, Korea). NSE and S100B concentrations were determined using an electrochemiluminescence immunoassay (ECLIA) with Elecsys NSE® (COBAS e801; Roche Diagnostics, Rotkreuz, Switzerland) and Elecsys S100® (COBAS e411; Roche Diagnostics, Mannheim, Germany), respectively. The measurement ranges of NSE and S100B were 0.1–300 ng/mL and 0.005–30 μg/L, respectively. GC Labs was compliant with the relevant national and international guidelines.

2.4. Outcomes and Data Collection

The primary outcome in this study was poor neurological outcome at 3 months after ROSC. Neurological outcomes were measured using the Glasgow–Pittsburgh cerebral performance category (CPC) scale, either through face-to-face interviews or structured telephone interviews [15]. The interviews were conducted by an emergency physician who was well-versed with our protocols and was blinded to the patients’ prognosis and clinical data. The patients were classified into five categories on the basis of CPC scores: CPC 1 (good performance), CPC 2 (moderate disability), CPC 3 (severe disability), CPC 4 (vegetative state), and CPC 5 (brain death or death).
The following baseline demographics and characteristics of the enrolled patients were recorded: age, sex, presence of a witness on collapse, bystander cardiopulmonary resuscitation (CPR), first monitored cardiac rhythm, etiology of CA, no- and low-flow time from CA, Glasgow coma score (GCS) immediately after ROSC, and time from ROSC to lumbar puncture.

2.5. Statistical Analysis

The categorical variables are presented as frequencies and percentages. They were compared using Fisher’s exact tests. Continuous variables were presented as means with standard deviations or medians with the interquartile range (IQR) depending on the normality of the data. Differences in the concentrations of biomarkers obtained from the serum or CSF between good and poor neurological outcomes were assessed using Student’s t-test or Mann–Whitney U-test. Repeated-measures ANOVA or Friedman test with Wilcoxon signed rank-sum test after Bonferroni correction was used to evaluate the changes in serum and CSF NSE and S100B values over time in each neurological outcome group.
To assess the predictive accuracy for a 3 month poor neurological outcome, receiver operating characteristic (ROC) curves were constructed for the prognostic values of NSE and S100B. The ROC curve plots the sensitivity of a measure on the y-axis and (1-sensitivity) on the x-axis, and it measures the overall accuracy of a test. The most important summary index of the ROC curve is the area under the ROC curve (AUROC). As high specificity is the most critical metric for use in CA, in which false-positive predictions may lead to the death of the patient, we set the cutoff values to at least 95% specificity based on the Touden index. The DeLong method was used to perform a pairwise comparison of the AUROC curves of NSE and S100B (serum NSE vs. CSF NSE, serum NSE vs. CSF S100B, and CSF NSE vs. CSF S100B) concentrations at each time point [16].
Statistical analyses were performed using IBM SPSS Statistics version 25.0 (IBM Corp., Armonk, NY, USA) and MedCalc version 15.2.2 (MedCalc Software, Mariakerke, Belgium). The results were considered significant at p < 0.05.

3. Results

3.1. Characteristics of the Study Population

A total of 60 comatose OHCA patients were treated with TTM during the study period. Among them, 15 patients were excluded for the following reasons: 10 were ineligible for lumbar catheter placement, the kin of one patient did not provide consent for the study, and 4 had a known medical history of cerebral disease. Thus, 45 patients were included in this study, of which 22 (48.9%) showed poor neurological outcome, corresponding to a primary outcome defined by a CPC score of 3 to 5 (Figure 1). The basic characteristics of the enrolled patients are given in Table 1. The group with poor neurological outcomes showed significantly lower instances of witnesses during CA, bystander CPR, cardiac etiology, shockable rhythm, and GCS and significantly longer no- and low-flow times (Table 1).
ROSC, return of spontaneous circulation; GCS, Glasgow coma score; TTM, targeted temperature management; ECMO, extracorporeal membrane oxygenation; PCI, percutaneous coronary intervention.

3.2. Comparison of NSE and S100B Concentrations between Groups with Good and Poor Outcomes

All the serum and CSF NSE values and CSF S100B values obtained in the poor neurological outcome group were significantly higher than the values obtained at the same time points in the good neurological outcome group (Table 2 and Figure 2)
Figure 2 shows the change in serum and CSF NSE and CSF S100B concentrations according to the neurologic outcome over time from ROSC. The Friedman test with post hoc analysis showed that, compared to the serum NSEi, serum NSE24 and NSE48 were significantly higher in the poor neurological outcome group (serum NSE24 and NSE48, p < 0.005 and 0.007; Figure 2), while in the good neurological outcome group, the serum NSEs measured at 24, 48, and 72 h were not significantly different compared to NSEi (p > 0.008; Figure 2). The CSF NSE and S100B concentrations at 24, 48, and 72 h after ROSC were significantly higher than those measured immediately after ROSC in the group with a poor neurological outcome (CSF NSE24, NSE48, and NSE72, p < 0.001, < 0.001, and 0.002; CSF S100B24, S100B48, and S100B72, p = 0.002, 0.001, and 0.002; Figure 2), while in the group showing a good neurological outcome, the CSF NSE24, NSE48, and S100B72 concentrations were significantly higher and lower, respectively, than the CSF NSEi and S100Bi (CSF NSE24 and NSE48, p = 0.002 and < 0.001; S100B72, p = 0.004; Figure 2).

3.3. Receiver Operating Characteristic Analysis for Predicting Poor Neurological Outcomes

Figure 3 shows the AUROC values of NSE and S100B concentrations for poor neurological outcome at each time point, from immediately to 72 h after ROSC. At 24 and 48 h after ROSC, both CSF NSE and S100B showed significantly higher AUROC values than serum NSE and CSF S100B measured at 72 h from ROSC had significantly higher prognostic performance for poor neurological outcome compared with serum NSE measured at the same time point. However, both CSF biomarkers measured immediately after ROSC and CSF NSE measured at 72 h showed relatively higher AUROC values compared with serum NSE, though it was not statistically significant (Figure 3). Even though statistical comparison of the AUROC values between CSF NSE and S100B were not significant at all time points, the AUROC values of CSF S100B were relatively higher or similar to that of CSF NSE (Figure 3).
Table 3 shows the cutoff concentrations showing the highest specificity (at least 95%) and the corresponding sensitivities of serum NSE and CSF biomarkers. Serum NSE at all time points showed lower sensitivity than CSF NSE and S100B (Table 3). In a comparison between CSF NSE and S100B, CSF S100B had higher sensitivities at 48 and 72 h from ROSC than CSF NSE (84.2% [95% CI, 60.4–96.6] vs. 94.7% [95% CI, 74.0–99.9] at 48 h, 88.2% [95% CI, 63.6–98.5] with 95% specificity vs. 94.1% [95% CI, 71.3–99.9] at 72 h; Table 3)

4. Discussion

This study analyzed serum NSE, CSF NSE, and S100B concentrations for the first 72 h after ROSC in OHCA survivors who underwent TTM and compared their prognostic performance for a poor neurological outcome 3 months after ROSC. CSF NSE and S100B showed significantly higher prognostic performances compared with serum NSE at all time points, except soon after ROSC. The most powerful prognostic performances of CSF NSE and S100B, with the highest sensitivity and 0 to 5% false-positive rate (FPR) for poor neurological outcome, were analogously observed at 48 h after ROSC in this study. The predominance of AUROC values between NSE and S100B fluctuated over time from ROSC until 72 h. Although the differences in AUROC values between NSE and S100B measurements at all four time points did not achieve statistical significance, S100B showed relatively higher AUROC values and sensitivities than NSE for poor neurological outcome immediately and at 48 and 72 h, and at 48 and 72 h from ROSC, respectively. These findings may indicate that CSF NSE and S100B concentrations are independently increased by their own specific pathophysiologic mechanisms according to the treatment course during TTM in OHCA survivors.
Since the CSF sample has the advantage that the biomarker need not be transported across the blood–brain barrier (BBB) for detection, thus greatly reducing contamination, the CSF sample for biomarkers derived from damaged cells in the central nervous system was suggested [1]. In the 1990s, Kärkelä et al. reported that the CSF NSE measured at 76 h from resuscitation was the most distinct between the groups the neurologically recovered and the disabled patient; however, the prognostic performances of CSF NSE such as AUROC value, sensitivity, or specificity were not demonstrated due to insufficient sample size (n = 20) [17]. Recently, we reported the usefulness of the CSF concentration of NSE in predicting neurological outcome in OHCA survivors [9]. Through the present study, we not only emphasize the usefulness of measuring CSF biomarker concentration to predict neurological outcome in OHCA survivors but also suggest that CSF S100B can be a useful prognostic biomarker in OHCA survivors.
In this study, the CSF S100B concentration measured immediately after ROSC showed a relatively higher AUROC value than the CSF NSE concentration at the same time point (AUROC, 0.95 vs. 0.90). This result is consistent with the findings of previous studies [10,11]. Bottiger et al. [10] reported that significant differences in serum S100B concentrations between patients showing good and poor neurological outcomes were apparent 30 min after initiation of CPR, a time point much earlier than the 24 h at which significant differences in serum NSE concentrations appeared. In addition, Zellner et al. [11] reported that the serum S100B concentration showed a significant difference between patients with good and poor neurological outcomes from admission to day 1 post-ROSC whereas the corresponding changes in the NSE concentration appeared from day 1 to day 2 post-ROSC. In previous studies comparing the serum values and prognostic performance between NSE and S100B, the difference in molecular characteristics between the two biomarkers (e.g., half-lives and molecular weights) was suggested as a hypothetical explanation for the increasing serum values and superior prognostic performance of S100B at an earlier stage when compared with NSE [10,11]. In several previous studies, the molecular characteristics of S100B were assumed to enable its easy infiltration into the serum across the impaired BBB and its rapid washout in the serum [4,11,18].
Direct sampling of NSE and S100B from the CSF can eliminate interferences related to half-life and molecular weight, both of which influence the detection and clearance time in serum and the ability to penetrate the BBB, and was performed in this study. However, interestingly, the results of this study were similar to those of previous studies in which the initial serum S100B concentration showed a relatively higher prognostic performance than the serum NSE concentration. These findings suggest that, while molecular characteristics such as molecular weight and half-life, are important, they could not fully explain the variations in the values of NSE and S100B obtained from the serum or CSF. Therefore, we suggest some possible explanations below.
S100B is dominantly expressed in astrocytes and glial cells of the grey matter [19,20], which is more severely and readily affected than the white matter during hypoxic-ischemic brain injury after CA [21]. Based on the pathophysiology of a brain injury after CA, several studies have reported that a decreased grey to white matter ratio (GWR) is associated with neurological outcome in OHCA survivors [22,23,24,25], and they further explained that the decreased GWR may be caused by cytotoxic edema in the grey matter, represented as hypoattenuation in brain computed tomography rather than pathophysiologic changes in the white matter [22]. Moreover, Hol and Pekny have suggested that an early increase in glial markers such as S100B is a result of early glial cell activation, since glial activation is a common element in brain trauma and ischemia [26]. Therefore, we suggest that the greater vulnerability of grey matter to hypoxic damage could account for the earlier S100B release into the serum and CSF; thus, this could explain the relatively higher AUROC value of CSF S100B immediately after ROSC in comparison with the value of CSF NSE. Hence, S100B derived from the grey matter of the brain may be more useful than NSE as a prognostic biomarker in OHCA survivors within approximately 19 h from ROSC, since our maximal lumbar puncture time in this study was 19.5 h after ROSC.
In the good neurological outcome group, the repeated paired statistical comparisons of CSF NSE and S100B concentrations between immediately and 24 h after ROSC showed ascending and parallel patterns. Considering the discrepancy in half-lives between NSE and S100B, the trends in these biomarkers between immediately and 24 h after ROSC may be interpreted as continuous excretion into the CSF space resulting from ongoing cerebral damage in OHCA survivors with good neurological outcomes. However, in two other previous studies using serum analysis, NSE and S100B concentrations showed parallel and descending patterns between baseline and at 24 h from ROSC in the good neurological outcome group [6,27], in contrast to our study. These non-decreasing CSF levels (i.e., indicating continuous excretion) of biomarkers representing cerebral damage from immediately to 24 h from ROSC might be presumed to represent secondary cerebral damage in the “two-hit” model, which occurred in the hours and days following CA and reperfusion [28]. Therefore, it was more clearly showed through our CSF analysis that ischemic-reperfusion cerebral injury following ROSC occurred in even the good neurological outcome group after CA, which was not observed in previous serum analysis studies.
These findings have several limitations with regard to generalization. First, this study involved an insufficient number of patients. A total of 15 patients who underwent TTM were excluded due to their ineligibility for lumbar catheter placement and a known medical history of cerebral disease. This could have caused selection bias and limited the generalizability of these results. However, in six patients, the values of biomarkers derived from the brain were modified by a known medical history of cerebral disease and severe brain edema (Figure 1). Further studies are required to reduce biases from sample numbers. Second, since the range of measured CSF NSE and S100B values was based on serum samples, the upper limits of the measurement ranges of NSE and S100B were 300 ng/mL and 30 μg/L, respectively. The CSF samples with measured values above the upper limit were not analyzed further with dilution. In particular, the NSE concentration measured 72 h after ROSC showed the maximal value even in the good neurological outcome group. However, the normal range of CSF values according to age, sex, and comorbidities is still unclear. Thus, clear definitions of normal ranges need to be established in further studies that report on CSF biomarkers. Finally, in some cases, we could not fully obtain the CSF samples until 72 h because of death prior to complete TTM or non-function of the lumbar catheter.

5. Conclusions

High CSF NSE and S100B concentrations are strong predictive markers of poor neurological outcome in OHCA survivors, even immediately after ROSC. In particular, CSF S100B concentration showed higher sensitivities with 0% FPR at 48 and 72 h after ROSC than with CSF NSE. Further multicenter studies with large sample sizes are required to generalize our results.

Author Contributions

Conceptualization, J.S.P.; formal analysis, W.J.; investigation, Y.Y. and H.J.A.; methodology, C.K. and Y.C.C.; software, J.S.P. and C.K.; supervision, J.H.M.; visualization, J.H.M. and C.K.; writing—original draft, C.K. and J.S.P.; writing, review and editing, W.J. and J.S.P.; funding acquisition, J.S.P. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Chungnam National University Hospital Research Fund, 2020.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and was approved by CNUH Institutional Review Board (CNUH-2017-10-027).

Informed Consent Statement

Informed consent was obtained from the patients’ designated decision-makers prior to enrolment.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restriction.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

CSFcerebrospinal fluid
OHCAout-of-hospital cardiac arrest
NSEneuron-specific enolase
S100BS100 calcium-binding protein B
ROSCreturn of spontaneous circulation
FPRfalse-positive rate
CAcardiac arrest
WLSTwithdrawal of life-sustaining treatment
TTMtargeted temperature management
CPCcerebral performance categories
GCSGlasgow coma score
IQRinterquartile range
ROCreceiver operating characteristic
AUROCarea under the receiver operating characteristic
BBBblood–brain barrier
GWRgrey and white matter ratio

References

  1. Geocadin, R.G.; Callaway, C.W.; Fink, E.L.; Golan, E.; Greer, D.M.; Ko, N.U.; Lang, E.; Licht, D.J.; Marino, B.S.; McNair, N.D.; et al. Standards for Studies of Neurological Prognostication in Comatose Survivors of Cardiac Arrest: A Scientific Statement From the American Heart Association. Circulation 2019, 140, e517–e542. [Google Scholar] [CrossRef] [PubMed]
  2. Benjamin, E.J.; Muntner, P.; Alonso, A.; Bittencourt, M.S.; Callaway, C.W.; Carson, A.P.; Chamberlain, A.M.; Chang, A.R.; Cheng, S.; Das, S.R.; et al. Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association. Circulation 2019, 139, e56–e528. [Google Scholar] [CrossRef]
  3. Sandroni, C.; Cariou, A.; Cavallaro, F.; Cronberg, T.; Friberg, H.; Hoedemaekers, C.; Horn, J.; Nolan, J.P.; Rossetti, A.O.; Soar, J. Prognostication in comatose survivors of cardiac arrest: An advisory statement from the European Resuscitation Council and the European Society of Intensive Care Medicine. Resuscitation 2014, 85, 1779–1789. [Google Scholar] [CrossRef]
  4. Choi, S.; Park, K.; Ryu, S.; Kang, T.; Kim, H.; Cho, S.; Oh, S. Use of S-100B, NSE, CRP and ESR to predict neurological outcomes in patients with return of spontaneous circulation and treated with hypothermia. Emerg. Med. J. 2016, 33, 690–695. [Google Scholar] [CrossRef] [PubMed]
  5. Duez, C.H.V.; Grejs, A.M.; Jeppesen, A.N.; Schrøder, A.D.; Søreide, E.; Nielsen, J.F.; Kirkegaard, H. Neuron-specific enolase and S-100b in prolonged targeted temperature management after cardiac arrest: A randomised study. Resuscitation 2018, 122, 79–86. [Google Scholar] [CrossRef] [PubMed]
  6. Jang, J.H.; Park, W.B.; Lim, Y.S.; Choi, J.Y.; Cho, J.S.; Woo, J.H.; Choi, W.S.; Yang, H.J.; Hyun, S.Y. Combination of S100B and procalcitonin improves prognostic performance compared to either alone in patients with cardiac arrest: A prospective observational study. Medicine (Baltimore) 2019, 98, e14496. [Google Scholar] [CrossRef] [PubMed]
  7. Stammet, P.; Dankiewicz, J.; Nielsen, N.; Fays, F.; Collignon, O.; Hassager, C.; Wanscher, M.; Undèn, J.; Wetterslev, J.; Pellis, T.; et al. Protein S100 as outcome predictor after out-of-hospital cardiac arrest and targeted temperature management at 33 °C and 36 °C. Crit. Care 2017, 21, 153. [Google Scholar] [CrossRef] [Green Version]
  8. Callaway, C.W.; Donnino, M.W.; Fink, E.L.; Geocadin, R.G.; Golan, E.; Kern, K.B.; Leary, M.; Meurer, W.J.; Peberdy, M.A.; Thompson, T.M.; et al. Part 8: Post-Cardiac Arrest Care: 2015 American Heart Association Guidelines Update for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation 2015, 132, S465–S482. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. You, Y.; Park, J.S.; Min, J.; Yoo, I.; Ahn, H.J.; Cho, Y.; Ryu, S.; Lee, J.; Kim, S.; Cho, S.; et al. The usefulness of neuron-specific enolase in cerebrospinal fluid to predict neurological prognosis in cardiac arrest survivors who underwent target temperature management: A prospective observational study. Resuscitation 2019, 145, 185–191. [Google Scholar] [CrossRef]
  10. Bottiger, B.W.; Mobes, S.; Glatzer, R.; Bauer, H.; Gries, A.; Bartsch, P.; Motsch, J.; Martin, E. Astroglial protein S-100 is an early and sensitive marker of hypoxic brain damage and outcome after cardiac arrest in humans. Circulation 2001, 103, 2694–2698. [Google Scholar] [CrossRef] [Green Version]
  11. Zellner, T.; Gartner, R.; Schopohl, J.; Angstwurm, M. NSE and S-100B are not sufficiently predictive of neurologic outcome after therapeutic hypothermia for cardiac arrest. Resuscitation 2013, 84, 1382–1386. [Google Scholar] [CrossRef] [PubMed]
  12. Moseby-Knappe, M.; Cronberg, T. Blood biomarkers of brain injury after cardiac arrest-A dynamic field. Resuscitation 2020, 156, 273–276. [Google Scholar] [CrossRef] [PubMed]
  13. Panchal, A.R.; Bartos, J.A.; Cabañas, J.G.; Donnino, M.W.; Drennan, I.R.; Hirsch, K.G.; Kudenchuk, P.J.; Kurz, M.C.; Lavonas, E.J.; Morley, P.T.; et al. Part 3: Adult Basic and Advanced Life Support: 2020 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation 2020, 142, S366–S468. [Google Scholar] [CrossRef] [PubMed]
  14. You, Y.; Park, J.; Min, J.; Yoo, I.; Jeong, W.; Cho, Y.; Ryu, S.; Lee, J.; Kim, S.; Cho, S.; et al. Relationship between time related serum albumin concentration, optic nerve sheath diameter, cerebrospinal fluid pressure, and neurological prognosis in cardiac arrest survivors. Resuscitation 2018, 131, 42–47. [Google Scholar] [CrossRef]
  15. Longstreth, W.T., Jr.; Nichol, G.; Van Ottingham, L.; Hallstrom, A.P. Two simple questions to assess neurologic outcomes at 3 months after out-of-hospital cardiac arrest: Experience from the public access defibrillation trial. Resuscitation 2010, 81, 530–533. [Google Scholar] [CrossRef] [Green Version]
  16. DeLong, E.R.; DeLong, D.M.; Clarke-Pearson, D.L. Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach. Biometrics 1988, 44, 837–845. [Google Scholar] [CrossRef]
  17. Kärkelä, J.; Bock, E.; Kaukinen, S. CSF and serum brain-specific creatine kinase isoenzyme (CK-BB), neuron-specific enolase (NSE) and neural cell adhesion molecule (NCAM) as prognostic markers for hypoxic brain injury after cardiac arrest in man. J. Neurol. Sci. 1993, 116, 100–109. [Google Scholar] [CrossRef]
  18. Stammet, P.; Wagner, D.R.; Gilson, G.; Devaux, Y. Modeling serum level of S100β and bispectral index to predict outcome after cardiac arrest. J. Am. Coll. Cardiol. 2013, 62, 851–858. [Google Scholar] [CrossRef] [Green Version]
  19. Goncalves, C.A.; Leite, M.C.; Nardin, P. Biological and methodological features of the measurement of S100B, a putative marker of brain injury. Clin. Biochem. 2008, 41, 755–763. [Google Scholar] [CrossRef]
  20. Shandiz, F.H.; Ghaffarzadegan, K.; Fariman, S.J.; Jannati, M.; Elyasi, S.; Amir Hooshang, M. Evaluation of human serum S100B protein as a prognostic factor in nonmetastatic breast cancer patients. Breast Cancer Manag. 2018, 7. [Google Scholar] [CrossRef] [Green Version]
  21. Pantoni, L.; Garcia, J.H.; Gutierrez, J.A. Cerebral white matter is highly vulnerable to ischemia. Stroke 1996, 27, 1641–1646; discussion 1647. [Google Scholar] [CrossRef] [PubMed]
  22. Choi, S.P.; Park, H.K.; Park, K.N.; Kim, Y.M.; Ahn, K.J.; Choi, K.H.; Lee, W.J.; Jeong, S.K. The density ratio of grey to white matter on computed tomography as an early predictor of vegetative state or death after cardiac arrest. Emerg. Med. J. 2008, 25, 666–669. [Google Scholar] [CrossRef] [PubMed]
  23. Hong, J.Y.; Lee, D.H.; Oh, J.H.; Lee, S.H.; Choi, Y.H.; Kim, S.H.; Min, J.H.; Kim, S.J.; Park, Y.S. Grey-white matter ratio measured using early unenhanced brain computed tomography shows no correlation with neurological outcomes in patients undergoing targeted temperature management after cardiac arrest. Resuscitation 2019, 140, 161–169. [Google Scholar] [CrossRef] [PubMed]
  24. Lee, B.K.; Kim, W.Y.; Shin, J.; Oh, J.S.; Wee, J.H.; Cha, K.C.; Park, Y.; Choi, J.H.; Jeung, K.W. Prognostic value of gray matter to white matter ratio in hypoxic and non-hypoxic cardiac arrest with non-cardiac etiology. Am. J. Emerg. Med. 2016, 34, 1583–1588. [Google Scholar] [CrossRef]
  25. Lee, B.K.; Jeung, K.W.; Song, K.H.; Jung, Y.H.; Choi, W.J.; Kim, S.H.; Youn, C.S.; Cho, I.S.; Lee, D.H. Prognostic values of gray matter to white matter ratios on early brain computed tomography in adult comatose patients after out-of-hospital cardiac arrest of cardiac etiology. Resuscitation 2015, 96, 46–52. [Google Scholar] [CrossRef]
  26. Hol, E.M.; Pekny, M. Glial fibrillary acidic protein (GFAP) and the astrocyte intermediate filament system in diseases of the central nervous system. Curr. Opin. Cell Biol. 2015, 32, 121–130. [Google Scholar] [CrossRef]
  27. Martínez-Losas, P.; López de Sá, E.; Armada, E.; Rosillo, S.; Monedero, M.C.; Rey, J.R.; Caro-Codón, J.; Buño Soto, A.; López Sendón, J.L. Neuron-specific enolase kinetics: An additional tool for neurological prognostication after cardiac arrest. Rev. Esp. Cardiol. (Engl. Ed.) 2020, 73, 123–130. [Google Scholar] [CrossRef]
  28. Sekhon, M.S.; Ainslie, P.N.; Griesdale, D.E. Clinical pathophysiology of hypoxic ischemic brain injury after cardiac arrest: A “two-hit” model. Crit. Care 2017, 21, 90. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Flow diagram of patients included in this study.
Figure 1. Flow diagram of patients included in this study.
Jcm 10 01531 g001
Figure 2. Changes in the concentrations of (A) serum NSE, (B) CSF NSE, and (C) CSF S100B measured immediately and at 24, 48, and 72 h after ROSC, categorized according to neurological outcomes. The line and the plot indicate the median levels and interquartile range of biomarkers. The concentrations of all biomarkers measured at all time points were significantly higher in those with poor neurological outcome than in those with good neurological outcome. CSF, cerebrospinal fluid; ROSC, return of spontaneous circulation; NSE, neuron-specific enolase concentration measured immediately (NSEi) and at 24 (NSE24), 48 (NSE48), and 72 h (NSE72) after the return of spontaneous circulation; S100B, S100B protein concentration measured immediately (S100Bi) and at 24 (S100B24), 48 (S100B48), and 72 h (S100B72) after the return of spontaneous circulation.
Figure 2. Changes in the concentrations of (A) serum NSE, (B) CSF NSE, and (C) CSF S100B measured immediately and at 24, 48, and 72 h after ROSC, categorized according to neurological outcomes. The line and the plot indicate the median levels and interquartile range of biomarkers. The concentrations of all biomarkers measured at all time points were significantly higher in those with poor neurological outcome than in those with good neurological outcome. CSF, cerebrospinal fluid; ROSC, return of spontaneous circulation; NSE, neuron-specific enolase concentration measured immediately (NSEi) and at 24 (NSE24), 48 (NSE48), and 72 h (NSE72) after the return of spontaneous circulation; S100B, S100B protein concentration measured immediately (S100Bi) and at 24 (S100B24), 48 (S100B48), and 72 h (S100B72) after the return of spontaneous circulation.
Jcm 10 01531 g002
Figure 3. Statistical analysis of the area under the receiver operating characteristic curves of serum and cerebrospinal fluid neuron-specific enolase, and cerebrospinal fluid S100B concentrations measured (A) immediately and at (B) 24, (C) 48, and (D) 72 h after the return of spontaneous circulation. References for the DeLong test for statistical comparison between (*) serum NSE and CSF biomarkers and (**) CSF NSE and S100B. CI, confidence interval; NSE, serum and cerebrospinal fluid neuron-specific enolase concentration measured immediately (sNSEi and cNSEi) and at 24 (sNSE24 and cNSE24), 48 (sNSE48 and cNSE48), and 72 h (sNSE72 and cNSE72) after the return of spontaneous circulation; S100B, cerebrospinal fluid S100B protein concentration measured immediately (cS100Bi) and at 24 (cS100B24), 48 (cS100B48), and 72 h (cS100B72) after the return of spontaneous circulation.
Figure 3. Statistical analysis of the area under the receiver operating characteristic curves of serum and cerebrospinal fluid neuron-specific enolase, and cerebrospinal fluid S100B concentrations measured (A) immediately and at (B) 24, (C) 48, and (D) 72 h after the return of spontaneous circulation. References for the DeLong test for statistical comparison between (*) serum NSE and CSF biomarkers and (**) CSF NSE and S100B. CI, confidence interval; NSE, serum and cerebrospinal fluid neuron-specific enolase concentration measured immediately (sNSEi and cNSEi) and at 24 (sNSE24 and cNSE24), 48 (sNSE48 and cNSE48), and 72 h (sNSE72 and cNSE72) after the return of spontaneous circulation; S100B, cerebrospinal fluid S100B protein concentration measured immediately (cS100Bi) and at 24 (cS100B24), 48 (cS100B48), and 72 h (cS100B72) after the return of spontaneous circulation.
Jcm 10 01531 g003
Table 1. Baseline demographics and characteristics of 44 patients.
Table 1. Baseline demographics and characteristics of 44 patients.
Total Patients
(n = 45)
Good Neurological Outcome (n = 23)Poor Neurological Outcome (n = 22)p
Age, years, median (IQR)57 (18–87)58 (18–81)51 (19–87)0.73
Male, n (%)36 (80.0)21 (91.3)15 (68.2)0.07
Cardiac arrest characteristics
Witness, n (%)28 (62.2)18 (78.3)10 (45.5)0.03
Bystander CPR, n (%)30 (66.7)19 (82.6)11 (50.0)0.03
Shockable rhythm, n (%)14 (31.1)14 (60.9)0<0.01
Cardiac etiology, n (%)20 (44.4)15 (65.2)5 (22.7)0.02
No flow time, min,
median (IQR)
4.0 (0.0–90.0)1.0 (0.0–30.0)12.0 (0.0–90.0)<0.01
Low flow time, min, median (IQR)18.5 (2.0–58.0)12.0 (2.0–40.0)26.0 (2.0–58.0)<0.01
GCS immediately after ROSC3 (3–8)3 (3–8)3 (3–3)<0.01
Time to LP from ROSC,
hour, median (IQR)
4.5 (1.2–19.5)3.4 (1.2–11.6)5.0 (2.3–19.5)0.11
IQR, interquartile range; CPR, cardiopulmonary resuscitation; GCS, Glasgow coma scale; ROSC, restoration of spontaneous circulation; CSF, cerebrospinal fluid; LP, lumbar puncture.
Table 2. The serum and cerebrospinal fluid concentrations of neuron-specific enolase (NSE) and S100 calcium-binding protein B (S100B) in good and poor neurological outcome groups.
Table 2. The serum and cerebrospinal fluid concentrations of neuron-specific enolase (NSE) and S100 calcium-binding protein B (S100B) in good and poor neurological outcome groups.
ValueTotal Patients
(n = 45)
Good Neurological Outcome (n = 23)Poor Neurological Outcome (n = 22)p Value
Serum NSE, ng/mL, median (IQR)
NSEi,29.0 (13.8–208.0)23.8 (14.1–49.3)43.4 (13.8–208.0)<0.01
NSE2433.7 (12.8–300.0)26.1 (12.8–75.1)56.5 (16.6–300.0)<0.01
NSE4829.2 (9.3–300.022.6 (9.3–54.6)79.1 (11.5–300.0)<0.01
NSE7225.7 (8.0–300.0)17.7 (8.0–65.3)70.7 (12.4–300.0)<0.01
CSF NSE, ng/mL, median (IQR)
NSEi,30.8 (8.0–300.0)20.9 (8.0–60.3)106.8 (17.4–300.0)<0.01
NSE24109.0 (7.1–300.0)39.1 (7.1–210.0)300.0 (62.0–300.0)<0.01
NSE48137.5 (9.1–300.0)33.1 (9.1–290.0)300.0 (46.6–300.0)<0.01
NSE7263.7 (10.6–300.0)20.3 (10.6–300.0)300.0 (40.2–300.0)<0.01
CSF S100B, μg/L, median (IQR)
S100Bi3.46 (0.20–30.00)1.50 (0.20–12.72)7.88 (2.26–30.00)<0.01
S100B244.68 (0.22–30.00)1.54 (0.22–7.97)30.00 (1.73–30.00)<0.01
S100B483.04 (0.07–30.00)1.21 (0.07–3.42)30.00 (2.31–30.00)<0.01
S100B721.45 (0.27–30.00)0.82 (0.27–2.73)30.00 (1.43–30.00)<0.01
IQR, interquartile range; CSF, cerebrospinal fluid; NSE, neuron-specific enolase measured immediately (NSEi) and at 24 (NSE24), 48 (NSE48), and 72 h (NSE72) after the return of spontaneous circulation; S100B, S100B protein measured immediately (S100Bi) and at 24 (S100B24), 48 (S100B48), and 72 h (S100B72) after the return of spontaneous circulation.
Table 3. Prognostic accuracies of NSE and S100B obtained from CSF for poor neurological outcome.
Table 3. Prognostic accuracies of NSE and S100B obtained from CSF for poor neurological outcome.
ValuesCut-offSensitivity
(95% CI)
Specificity
(95% CI)
TPFPTNFNPPVNPV
Serum NSE, ng/mL
NSEi (n = 45)49.340.9
(20.7–63.6)
100.090231310063.9
NSE24 (n = 45)75.140.9
(20.7–63.6)
100.090231310063.9
NSE48 (n = 45)54.663.6
(40.7–82.8)
100.014023810074.2
NSE72 (n = 43)65.355.0
(31.5–76.9)
100.011023910071.9
CSF NSE, ng/mL
NSEi (n = 45)60.366.6
(40.7–82.8)
100.014023810074.2
NSE24 (n = 41)210.080.0
(56.3–94.3)
100.016021410084.0
NSE48 (n = 40)290.084.2
(60.4–96.6)
100.016021310087.5
NSE72 (n = 38)283.088.2
(63.6–98.5)
95.0
(75.1–99.9)
15219282.494.7
CSF S100B, μg/L
S100Bi (n = 45)12.7245.5
(24.4–67.8)
100.0100231210065.7
S100B24 (n = 41)7.9780.0
(56.3–94.3)
100.016021410084.0
S100B48 (n = 40)3.4294.7
(74.0–99.9)
100.018021110095.5
S100B72 (n = 38)2.7394.1
(71.3–99.9)
100.016021110095.5
CI, confidence interval; TP, true positive; FP false positive; TN, true negative; FN, false negative; PPV, positive predict value; NPV, negative predict value; NSE, neuron-specific enolase measured immediately (NSEi) and at 24 (NSE24), 48 (NSE48), and 72 h (NSE72) after the return of spontaneous circulation; CSF, cerebrospinal fluid; S100B, S100B protein measured immediately (S100Bi) and at 24 (S100B24), 48 (S100B48), and 72 h (S100B72) after the return of spontaneous circulation.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Kang, C.; Jeong, W.; Park, J.S.; You, Y.; Min, J.H.; Cho, Y.C.; Ahn, H.J. Comparison of Prognostic Performance between Neuron-Specific Enolase and S100 Calcium-Binding Protein B Obtained from the Cerebrospinal Fluid of Out-of-Hospital Cardiac Arrest Survivors Who Underwent Targeted Temperature Management. J. Clin. Med. 2021, 10, 1531. https://doi.org/10.3390/jcm10071531

AMA Style

Kang C, Jeong W, Park JS, You Y, Min JH, Cho YC, Ahn HJ. Comparison of Prognostic Performance between Neuron-Specific Enolase and S100 Calcium-Binding Protein B Obtained from the Cerebrospinal Fluid of Out-of-Hospital Cardiac Arrest Survivors Who Underwent Targeted Temperature Management. Journal of Clinical Medicine. 2021; 10(7):1531. https://doi.org/10.3390/jcm10071531

Chicago/Turabian Style

Kang, Changshin, Wonjoon Jeong, Jung Soo Park, Yeonho You, Jin Hong Min, Yong Chul Cho, and Hong Joon Ahn. 2021. "Comparison of Prognostic Performance between Neuron-Specific Enolase and S100 Calcium-Binding Protein B Obtained from the Cerebrospinal Fluid of Out-of-Hospital Cardiac Arrest Survivors Who Underwent Targeted Temperature Management" Journal of Clinical Medicine 10, no. 7: 1531. https://doi.org/10.3390/jcm10071531

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop