The majority of unconscious patients after cardiac arrest (CA) do not fulfill guideline criteria for a likely poor outcome, their prognosis is considered “indeterminate”. We compared brain injury markers in blood for prediction of good outcome and for identifying false positive predictions of poor outcome as recommended by guidelines.
Retrospective analysis of prospectively collected serum samples at 24, 48 and 72 h post arrest within the Target Temperature Management after out-of-hospital cardiac arrest (TTM)-trial. Clinically available markers neuron-specific enolase (NSE) and S100B, and novel markers neurofilament light chain (NFL), total tau, ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) and glial fibrillary acidic protein (GFAP) were analysed. Normal levels with a priori cutoffs specified by reference laboratories or defined from literature were used to predict good outcome (no to moderate disability, Cerebral Performance Category scale 1–2) at 6 months.
Seven hundred and seventeen patients were included. Normal NFL, tau and GFAP had the highest sensitivities (97.2–98% of poor outcome patients had abnormal serum levels) and NPV (normal levels predicted good outcome in 87–95% of patients). Normal S100B and NSE predicted good outcome with NPV 76–82.2%. Normal NSE correctly identified 67/190 (35.3%) patients with good outcome among those classified as “indeterminate outcome” by guidelines. Five patients with single pathological prognostic findings despite normal biomarkers had good outcome.
Low levels of brain injury markers in blood are associated with good neurological outcome after CA. Incorporating biomarkers into neuroprognostication may help prevent premature withdrawal of life-sustaining therapy.
|In a large prospective international trial, both established and novel serum markers of brain injury predicted good neurological outcome as early as 24 hours after cardiac arrest. Normal levels of brain injury markers can be used to identify patients without severe brain injury where continued intensive care treatment could be life-saving.|
Prediction of neurological outcome after cardiac arrest (CA) is mainly focused on identifying patients with extensive brain injury and a poor prognosis as recommended by guidelines [1,2,3]. The European Resuscitation Council (ERC) and European Society of Intensive Care Medicine (ESICM) algorithm for post-resuscitation care has recently been adjusted to increase prognostic accuracy . Nonetheless, evaluations of the previous guideline algorithm suggest that a large proportion of patients will remain with indeterminate outcome after prognostication [5,6,7]. Furthermore, studies using propensity matched controls indicate that unconscious patients with potentially good outcome may be at risk of dying as a result of early withdrawal of life-sustaining therapy (WLST) for neurological reasons [8, 9]. Therefore, early reliable tools are required to identify patients with limited brain injury.
Several indicators of good outcome exist; an early recovery of a normal voltage, continuous and reactive EEG-background within 12–24 h post arrest, a normal MRI scan or a Glasgow Coma Scale motor score ≥ 3 have been reported to predict good outcome in 53–100% of patients [10,11,12,13,14,15,16]. The presence of brain stem reflexes, somatosensory-evoked cortical potentials or a normal computed tomography is less predictive of a good prognosis [5, 13, 14, 17, 18]. Blood biomarkers of brain injury are quantifiable and objective, and low blood levels may help identify patients with little or no brain injury to optimize allocation of resources and avoid pessimistic predictions in patients still affected by potent confounders such as remaining sedation. Furthermore, knowledge that a reasonable chance of recovery exist would be reassuring for the patient’s family.
There is no standard for reporting indicators of mild or no brain injury , but two points are particularly relevant; first, that an abnormal test correctly identifies the majority of poor outcome patients, and second, that a normal test result is highly predictive of a good outcome.
We have previously published results on brain injury markers for prediction of poor neurological outcome using serum samples collected between 24 and 72 h post arrest within the biobank substudy of the Target Temperature Management after out-of-hospital cardiac arrest (TTM)-trial [19,20,21,22,23,24,25].
The aim of the current study was to examine whether normal levels of brain injury markers predict good neurological outcome after CA. We focused on neuron-specific enolase (NSE), the only marker recommended by guidelines , and on neurofilament light chain protein (NFL), a neuroaxonal marker which has previously demonstrated high prognostic accuracies [22, 26, 27]. In addition, we report results for the neuroaxonal marker total tau, the neuronal cell body marker ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) and the astrocytic markers S100B and glial fibrillary acidic protein (GFAP). We investigated if these markers could identify patients with an ultimate good outcome among those classified as with “indeterminate outcome” according to the ERC/ESICM 2021 algorithm . We also examined whether normal levels of brain injury markers could help identify patients with good oucome despite other pathological prognostic findings.
This was a retrospective analysis of prospectively collected serum samples within the TTM-trial, an international multicenter trial randomising 950 adult out-of-hospital cardiac arrest patients with a presumed cardiac cause of arrest to targeted temperature management at either 33 °C or 36 °C [19, 28]. The trial found no difference between the two allocation groups in survival or neurological outcome after 6 months . A majority of sites participated in the biobank substudy collecting serum samples at 24, 48 and 72 h post arrest . Results for poor outcome prediction have been published [20,21,22,23,24]. The number of missing data from patients alive at each time point was low, and we found no systematic differences between patients with missing and available biomarker data [20,21,22,23,24].
NSE and S100B concentrations were measured with an electrochemiluminescence immunoassay kit on a Cobas e601 (Roche Diagnostics, Rotkreuz, Switzerland) [20, 21]. For NSE, all samples with a positive haemolysis index ≥ 500 mg/L were discarded . NFL and tau concentrations were measured on the Simoa HD-1 Analyzer (Quanterix, Billerica, MA) with a Homebrew kit or Human Total Tau kit, respectively [22, 24]. UCH-L1 and GFAP were analysed with a chemiluminescent enzyme-linked immunosorbent assay (Banyan Biomarkers, San Diego, CA) .
Normal values were defined using a priori cutoffs based on our laboratories reference standards or from literature; NSE < 17 ng/mL ; S100B < 0.105 µg/L ; NFL < 55 pg/mL, similar to the highest normal values described by Hviid et al.; UCH-L1 < 327 pg/mL and GFAP < 22 pg/mL guided by the ALERT-TBI-trial for preventing unnecessary radiation in patients after mild traumatic brain injury . Total tau ≤ 1.55 pg/mL was based on a control group by Mattsson et al., since tau serum concentrations are approximately 60% of plasma concentrations [31, 32].
Original EEGs were evaluated centrally after trial completion by investigators blinded to clinical information, neuroimaging and SSEP were evaluated at the patients local hospital as published [5, 17, 18, 33,34,35,36,37]. Neurological outcome was dichotomized according the Cerebral Performance Category Scale as good (CPC 1–2, no to moderate cerebral disability) or poor (CPC 3–5, severe cerebral disability, vegetative state or death) at 6 months. Written informed consent was waived or obtained from all patients or proxies according to national legislation .
Baseline data are presented in numbers (percentages) or median (interquartile range). Prognostic accuracies were calculated for normal concentrations and 2 × normal concentrations, derived as described in methods. Serum levels were considered “true positive” if elevated above normal in a poor outcome patient and “true negative” if within normal range in a good outcome patient . This is in accordance with STARD guidelines for reporting of diagnostic and prognostic accuracies, where “positive” is defined as “disease confirmed” (in this case poor outcome) and “negative” as “disease excluded” . Sensitivity, specificity, NPV (normal serum levels and good outcome) and PPV (abnormal serum levels and poor outcome) are presented with 95% confidence intervals calculated with Wilson´s method . Overall prognostic accuracies were calculated by receiver operating characteristics (ROC) curves. Cutoffs at a set high sensitivity and a set high specificity were calculated with a bootstrap procedure.
We evaluated whether normal levels of biomarkers could help identify good outcome patients classified as with “indeterminate outcome” according to the ERC/ESICM algorithm . Patients who died < 72 h after CA, patients awake and obeying commands < 72 h and those fulfilling guideline criteria of “poor outcome likely” were excluded, to simulate the clinical setting of neuroprognostication ≥ 72 h post arrest.
We describe the overall concordance between normal levels of biomarkers and pathological prognostic examinations, and examine whether brain injury markers could help identify false positive patients with good oucome despite pathological findings.
Statistical analyses were performed with R, version 3.5.1 (The R Foundation for Statistical Computing) .
Seven hundred and seventeen patients had results of at least one biomarker (NSE, S100B, NFL, tau, UCH-L1 and GFAP), 683 patients had all six biomarkers analysed on at least 1 time point and missing data was low (eFig. 1A-B, Table 1).
Elevated serum concentrations above normal levels
Prognostic accuracies of normal biomarker levels can be seen in Table 2. NFL levels were within normal range in 48.2–65% of patients with good outcome (specificity) and elevated above normal levels in 95.4–97.5% of poor outcome patients (sensitivity). Normal NFL levels correctly predicted a good outcome in 93.3–95% of patients (NPV) but 27.5–36.6% of patients with NFL levels above normal also achieved a good outcome (1-PPV). GFAP had similarly high sensitivity and NPV as NFL, but NFL correctly identified a larger absolute number of patients with good outcome (TN) compared to GFAP.
If serum levels were within normal range at all time points between 24 and 72 h, NPV increased slightly for all markers except tau, compared to single time points alone. For NSE, 82.2% of patients with normal serum levels (< 17 ng/mL) at all timepoints had good neurological outcome (NPV). In comparison, if tau, GFAP or NFL was within normal range at all timepoints, outcome was good in 87–95%. Of the remaining markers, UCH-L1 performed similarly to NSE, and S100B had the lowest NPV. By doubling normal levels, a larger number of good outcome patients were correctly identified (specificity), but an increasing number of poor outcome patients also had serum levels below cut-off, decreasing sensitivity and NPV (eTable 1). Patients with normal levels of brain injury markers more often had a non-neurological presumed cause-of-death compared to patients with abnormal levels (eTable 2).
Corresponding cutoff values at high sensitivities and specificities
ROC curves and tables with overall prognostic performance of all biomarkers, corresponding cutoff values at set high sensitivity and a set high specificity are displayed in eFig. 2, eTables 3 and 4.
“Indeterminate outcome” according to the ERC/ESICM algorithm
We next evaluated whether patients with “indeterminate outcome” according to the ERC/ESICM 2021 algorithm could be further classified by normal levels of NSE (Fig. 1). The algorithm correctly identified 82 patients with a final poor outcome (0% FPR) and another 181 were awake on day 3. Among the remaining 382 patients with “indeterminate outcome”, 85 had NSE within normal range, the majority (78.8%) of whom had a good final outcome. Conversely, “indeterminate” patients with abnormal NSE had good outcome in 43.5%.
Normal NFL, GFAP or tau had higher sensitivity and NPV than NSE in “indeterminate” patients (Table 3). NFL had significantly higher overall prognostic accuracy than all other biomarkers in “indeterminate” patients, and the association remained significant after adjusting for targeted temperature management (eTable 5).
Pathological prognostic findings in patients with normal biomarker levels
We investigated whether patients with brain injury markers within normal range had indicators of a “poor outcome likely” derived by other recommended methods . In total, sixteen patients had indicators of poor outcome and normal levels of at least one of the six biomarkers (Table 4). Five patients who eventually had a good outcome had single pathological findings; three had normal NFL levels, one with bilaterally absent N20 on SSEP, a second with highly malignant EEG and a third with early-status myoclonus. Two additional patients had early generalised oedema on head computed tomography and normal NSE, GFAP or UCH-L1 (eTable 6).
Eleven patients with poor outcome had ≥ 1 pathological finding despite normal serum levels of at least one biomarker (eTable 7). In particular, NSE levels were normal or mildly elevated in a few patients with severely elevated NFL, tau and GFAP. Nine patients had normal S100B, yet levels of other markers were severely elevated ≥ 10 × above normal. Five poor outcome patients with normal levels of at least one biomarker would have fulfilled criteria of “poor outcome likely”, three of which died prior to formal prognostication.
In this multicenter international study using prospectively collected serum samples, we found that all examined markers of brain injury had the potential to identify patients with good neurological outcome from 24 h after CA. Furthermore, normal levels of the routine marker NSE correctly identified one-third of good outcome patients classified as with “indeterminate outcome” according to the ERC/ESICM algorithm. We found that normal serum levels of biomarkers indicating limited brain injury could help identify patients at risk for self-fulfilling prophecies when results from other examinations are disconcordant.
Previously, we explored these established and novel brain injury markers for prediction of poor outcome after CA [20,21,22,23,24]. There should also be a great clinical utility for early quantitative and objective predictors of good outcome. While ninety percent of our patients who woke up within 72 h post arrest had good neurological outcome and all patients fulfilling ERC/ESICM criteria of “poor outcome likely” had poor outcome, a large number of patients remain unconscious but do not fulfill criteria of “poor outcome likely”. There is currently insufficient knowledge on how to identify the patients with potential for recovery among these with “indeterminate outcome” which typically require prolonged time for observation until awakening, potentially due to slow metabolism of sedatives or extensive treatment of status epilepticus [37, 41].
In this study, we provide evidence for the use of biomarkers in this context and we also demonstrate that normal levels of brain injury markers could help identify patients at risk for self-fulfilling prophecies due to single false positive prognostic findings from other established methods for neuroprognostication.
We found that normal levels of any brain injury marker below a priori cutoffs predicted good outcome with reasonable prognostic accuracy from 24 h post arrest and that doubled normal levels substantially increased the amount of good outcome patients correctly identified. This is of immediate clinical importance, since NSE and S100B are already routinely in use. Serum NSE ≤ 17 ng/mL correctly predicted good outcome in 76.1–82.2% of our patients. Our results are similar to those reported by Streitberger et al., where NSE ≤ 17 ng/mL excluded vegetative state or death (CPC 4–5) in 92% of patients . Rossetti et al. found that NSE predicted good neurological outcome in 63.1% of patients with a cutoff < 75 ng/mL, which is well above our clinically established values for poor outcome prediction [5, 13]. S100B, often used as a prognostic marker after traumatic brain injury, was the least convincing predictor of good outcome in our cohort, yet correctly predicted good outcome in 70.1–76%.
Overall, we found that 94–95% of patients with normal levels of the neuroaxonal marker NFL or the astrocytic GFAP had good outcome after 6 months. NFL correctly predicted good outcome in a larger number of patients than GFAP. Our results are in accordance with the higher overall prognostic accuracy for NFL reported in previous studies [22, 23, 26]. Elevated GFAP levels may indicate both astrocytic injury and an upregulation of glial activity [43, 44]. Absence of glial stress indicated by normal GFAP may thus be relevant to predict the absence of subsequent brain injury. In contrast, tau, is present in unmyelinated axons of neurons, but also in astrocytes and oligodendrocytes, which may explain why low serum concentrations indicate little or no injury (or astrocytic upregulation) . All three markers are currently studied as prognostic markers within various neurological conditions and may soon become widely available [30, 31, 46, 47].
We asked ourselves whether normal levels of brain injury markers would be useful in a clinical setting to classify patients who remain unconscious at 72 h post arrest. For this analysis, we excluded patients who would not have undergone neurological prognostication due to awakening and those fulfilling criteria for poor outcome. We only included the remaining patients with “indeterminate outcome” where a “wait-and-see-approach” is recommended . We found that normal levels of NSE could be useful to identify good outcome patients, although NFL and GFAP demonstrated the highest predictive values for good outcome (91%). Our results may be especially relevant where early WLST is commonly performed in absence of clinical improvement, or when triaging intensive care patients when resources are scarce.
Guidelines recommend caution that prognostic examinations are concordant in their prediction (for example signs of severe brain injury) . We found, that pathological prognostic findings were uncommon in patients with normal concentrations of brain injury markers. Five patients with normal NFL, tau or UCH-L1 had good outcome despite single pathological findings. These results indicate that normal levels may indeed be helpful to identify false positive predictions of poor outcome. The question arises why eleven poor outcome patients had several pathological findings but normal levels of at least one biomarker. We found that patients with normal NSE could have moderately to severely elevated levels of other markers, such as NFL, GFAP and tau, indicating their superiority for good outcome prediction. Additionally, the majority of patients with poor outcome despite low levels of at least one biomarker had a non-cerebral cause-of-death, demonstrating that brain injury markers are only predictive of neurological futility.
Blood biomarkers are quantifiable and objective, but sources of error exist, such as elevated concentrations of brain injury markers released from extracerebral tissue or as a result of neuronal injury caused by sedation [48,49,50]. Targeted temperature management did not influence the correlation between brain injury markers and neurological outcome. We stress that serum levels above normal range do not automatically indicate that neurological outcome will be poor. On the contrary, NFL levels were elevated in approximately one-third of good outcome patients. Therefore, the cutoffs for normal range, in contrast to cutoffs for poor outcome, should not be used to terminate care, but rather for emphasizing continued care.
Strengths and limitations
The main strengths of this study include the prospective and multicenter design, a large sample size, a conservative protocol for neurological prognostication, strict criteria for WLST, face-to-face evaluation of outcome and a priori cutoffs for brain injury markers. Analyses were performed after trial completion by laboratory technicians blinded to clinical information. Biomarker levels were not available for clinical decision-making. Nonetheless, we cannot exclude that an even more conservative approach to WLST could have led to additional good outcomes. Our results apply to a group of patients resuscitated from a presumed cardiac cause of arrest. Although hypoxic-ischemic brain injury occurs in all aetilogies of CA, biomarker levels might be influenced by sepsis, trauma or other factors triggering the initial event. Additionally all patients in this report received temperature control to levels below 37 °C and protocolized sedation for at least 36 h, mechanical cardiac support was uncommon. These factors could conceivably influence results.
We emphasize that the novel markers NFL, tau, UCH-L1 and GFAP are currently only available as research-grade tests. While clinical laboratories in Sweden, the Netherlands and France have validated the NFL assay for use in clinical laboratory practice, it is not yet available as a 24–7 test. Additionally, GFAP and UCH-L1 have gained FDA approval for use as biomarkers of good outcome to avoid unnecessary computerised tomography scans following concussion, which bodes well for their future clinical use as outcome markers following CA [30, 51]. NSE and S100B, although diagnostically less robust, are currently available in many clinical chemistry laboratories . Future research should aim to establish international calibration standards and defining normal values for all age groups.
Low levels of brain injury markers in blood after CA are associated with good neurological outcome and absence of pathological prognostic findings. Use in clinical practice of currently available markers NSE and S100B may help prevent death through premature WLST. The biomarker NFL showed the highest predictive capacity and may become an important addition to current clinical tools in the near future.
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The authors would like to thank the TTM-trial investigators and the sponsors for their support. We thank the staff at the Clinical Neurochemistry Laboratory in Mölndal, Sweden, Banyan Biomarkers, San Diego, CA, the biochemistry laboratory of the Centre Hospitalier de Luxembourg and the Integrated BioBank of Luxembourg for analysis and storage of samples.
Open access funding provided by Lund University. Funding for the study was provided by the Swedish Research Council, Swedish Heart Lung Foundation, Arbetsmarknadens Försäkringsaktiebolag Insurance Foundation, the Skåne University Hospital Foundations, the Gyllenstierna-Krapperup Foundation, and governmental funding of clinical research within the Swedish National Health System, the County Council of Skåne; the Swedish Society of Medicine; the Koch Foundation; TrygFonden (Denmark); European Clinical Research Infrastructures Network; Thelma Zoega Foundation; Stig and Ragna Gorthon Foundation; Thure Carlsson Foundation; Hans-Gabriel and Alice Trolle-Wachtmeister Foundation for Medical Research; Lions Research fund Skåne; South Swedish Hospital Region Research Funds; the Swedish Brain Foundation; the Lundbeck Foundation; and the Torsten Söderberg foundation at the Royal Swedish Academy of Sciences. HZ is a Wallenberg Scholar. NMC is a Wallenberg Molecular Medicine Fellow.Role of the Funder/Sponsor: the funding organizations had no role in the design and conduct. of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Conflicts of interest
MMK, NMC, PS, SB, JD, HF, CH, JH, GL, CR, SU, JH, EW, MW, NN and TC report no conflicts of interest. HZ has served at scientific advisory boards for Eisai, Denali, Roche Diagnostics, Wave, Samumed, Siemens Healthineers, Pinteon Therapeutics, Nervgen, AZTherapies and CogRx, has given lectures in symposia sponsored by Cellectricon, Fujirebio, Alzecure and Biogen, and is a co-founder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program (outside submitted work). KB has served as a consultant, at advisory boards, or at data monitoring committees for Abcam, Axon, Biogen, JOMDD/Shimadzu. Julius Clinical, Lilly, MagQu, Novartis, Roche Diagnostics, and Siemens Healthineers, and is a co-founder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program. JK reports funding from NovoNordisk foundation NNF17OC0028706, for work outside the present manuscript.
The TTM-trial was approved by the Regional Ethical Review Board at Lund University, Sweden and by the appropriate research ethics committees in each participating country. The study was performed in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments.
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Moseby-Knappe, M., Mattsson-Carlgren, N., Stammet, P. et al. Serum markers of brain injury can predict good neurological outcome after out-of-hospital cardiac arrest. Intensive Care Med 47, 984–994 (2021). https://doi.org/10.1007/s00134-021-06481-4
- Blood biomarkers
- Good neurological outcome
- Cardiac arrest
- Neurofilament light
- ERC/ESICM guidelines