Abstract
Background
Impaired cerebrovascular reactivity (CVR) is one feature of post cardiac arrest encephalopathy. We studied the incidence and features of CVR by near infrared spectroscopy (NIRS) and associations with outcome and biomarkers of brain injury.
Methods
A post-hoc analysis of 120 comatose OHCA patients continuously monitored with NIRS and randomised to low- or high-normal oxygen, carbon dioxide and mean arterial blood pressure (MAP) targets for 48 h. The tissue oximetry index (TOx) generated by the moving correlation coefficient between cerebral tissue oxygenation measured by NIRS and MAP was used as a dynamic index of CVR with TOx > 0 indicating impaired reactivity and TOx > 0.3 used to delineate the lower and upper MAP bounds for disrupted CVR. TOx was analysed in the 0–12, 12–24, 24–48 h time-periods and integrated over 0–48 h. The primary outcome was the association between TOx and six-month functional outcome dichotomised by the cerebral performance category (CPC1-2 good vs. 3–5 poor). Secondary outcomes included associations with MAP bounds for CVR and biomarkers of brain injury.
Results
In 108 patients with sufficient data to calculate TOx, 76 patients (70%) had impaired CVR and among these, chronic hypertension was more common (58% vs. 31%, p = 0.002). Integrated TOx for 0–48 h was higher in patients with poor outcome than in patients with good outcome (0.89 95% CI [− 1.17 to 2.94] vs. − 2.71 95% CI [− 4.16 to − 1.26], p = 0.05). Patients with poor outcomes had a decreased upper MAP bound of CVR over time (p = 0.001), including the high-normal oxygen (p = 0.002), carbon dioxide (p = 0.012) and MAP (p = 0.001) groups. The MAP range of maintained CVR was narrower in all time intervals and intervention groups (p < 0.05). NfL concentrations were higher in patients with impaired CVR compared to those with intact CVR (43 IQR [15–650] vs 20 IQR [13–199] pg/ml, p = 0.042).
Conclusion
Impaired CVR over 48 h was more common in patients with chronic hypertension and associated with poor outcome. Decreased upper MAP bound and a narrower MAP range for maintained CVR were associated with poor outcome and more severe brain injury assessed with NfL.
Trial registration ClinicalTrials.gov, NCT02698917.
Supplementary Information
The online version contains supplementary material available at 10.1186/s13054-021-03764-6.
Keywords: Cerebrovascular reactivity, Out-of-hospital cardiac arrest, Hypoxic-ischaemic brain injury
Background
Out-of-hospital cardiac arrest (OHCA) carries a high overall mortality rate related to hypoxic-ischaemic brain injury (HIBI) [1]. On suggested mechanism of HIBI is ongoing cerebral hypoxia related to insufficient cerebral blood flow (CBF) after return of spontaneous circulation (ROSC) [2–6]. Cerebrovascular reactivity (CVR) refers to the ability of the brain vasculature to change flow resistance in response to fluctuating blood tension of oxygen and carbon dioxide and varying mean arterial blood pressure (MAP) levels, aiming to maintain a relatively constant CBF [7, 8]. The specific aspect of CVR related to MAP is commonly referred to as cerebral autoregulation. Near-infrared spectroscopy (NIRS) may be used to monitor spontaneous low-frequency oscillations in cerebral tissue oxygenation (cStO2) that reflect CBF and, when correlated with simultaneous changes in MAP, allow for the tissue oxygenation index (TOx) to be derived as an index of dynamic CVR. This technique has known limitations but provides a non-invasive method to estimate CVR at the bedside [9–12]. Impaired CVR monitored by TOx is associated with poor neurological outcomes in acute neurocritical conditions [13, 14] and in OHCA, as suggested by smaller, single-centre, observational cohort studies [4, 5, 15].
In the multicentre randomised controlled pilot study COMACARE, 120 adult comatose mechanically ventilated survivors of OHCA with an initial rhythm of ventricular fibrillation/tachycardia were treated with low- or high-normal targets for MAP, arterial oxygen (PaO2) and carbon dioxide (PaCO2) tension [16]. All patients were monitored with the same type of NIRS device over the first 48 h of ICU care enabling an estimation of CVR over time. The primary outcome in this post-hoc analysis was the association between TOx and six-month neurological outcome dichotomised by cerebral performance category (CPC1-2 good vs. 3–5 poor), and we hypothesised that CVR would be impaired in patients with poor outcome.
Methods
Setting and participants
Six ICUs in Finland and one in Denmark participated in the COMACARE study that was conducted from March 2016 to March 2017. The study protocol and main results have been published earlier [16–18]. Briefly, the study included 120 comatose, mechanically ventilated survivors resuscitated from witnessed OHCA with ventricular tachycardia or fibrillation as the initial rhythm. The trial used a 23 factorial design where each patient was randomised into one of eight arms, each having a different combination of targets: a low-normal (65–75 mmHg) or high-normal (80–100 mmHg) MAP, a normal (10–15 kPa) or moderately elevated (20–25 kPa) PaO2 and a low-normal (4.5–4.7 kPa) or high-normal (5.8–6.0 kPa) PaCO2. All patients were treated with targeted temperature management at either 33 °C or 36 °C, and all patients had invasive blood pressure monitoring. The protocol for this post-hoc analysis was published prior to commencing the study [19].
Patient data and monitoring of cerebrovascular reactivity
Patient demographics, cardiac arrest and resuscitation characteristics, ICU acuity (APACHE II) and treatment factors were captured. The cStO2 was measured using the INVOS 5100C monitor (Covidien Company, USA) with two skin sensors attached bilaterally to the patient’s forehead, avoiding the frontal sinuses and temporal muscles. The mean values of the left and right hemispheric cStO2 values were used to calculate the TOx as a moving Pearson correlation coefficient in the time domain between 10 min averages of MAP and cStO2 using the ICM + Brain Monitoring software (Version 8.3, University of Cambridge) [9]. A TOx within the − 1 to 0 range was used to indicate maintained CVR, and a TOx from > 0 to 1 indicated impaired CVR. Mean TOx values were derived for three time periods: 0–12 h, 12–24 h and 24–48 h. The TOx values were subsequently divided into MAP bins of 5 mmHg and fitted to a second-order polynomial with its nadir determining the optimal observed TOx (OptTOx) [20]. The OptMAP was determined as the MAP corresponding to the OptTOx on the fitted curve. The MAP intersecting a TOx threshold of 0.30 on the second-order polynomial fit was calculated for each patient to represent the lower and upper bounds of MAP for maintained CVR and the range of MAP with maintained CVR calculated as the difference [19]. The nomenclature cerebrovascular reactivity rather than cerebral autoregulation is used throughout this paper to reflect the concomitant MAP, PaO2 and PaCO2 targets studied.
Biomarkers of brain injury
Serum samples were collected at 48 h after OHCA and concentrations of neuron specific enolase (NSE), the astrocytic calcium-binding protein S100B and neurofilament light (NfL) were measured as previously described [21].
Neurological outcome
An independent neurologist blinded to the study interventions evaluated the patients’ functional outcomes six months after OHCA. Neurological outcomes were assessed according to Pittsburgh Cerebral Performance Categories (CPC) [22]. Good outcome was defined as CPC 1–2 (good cerebral performance or moderate cerebral disability) and poor outcome as CPC 3–5 (severe cerebral disability, coma/vegetative state or death).
Study outcomes
The primary outcome was the association between impaired CVR as determined by TOx and neurological outcome. The secondary outcomes were associations between CVR characteristics (OptTOx, OptMAP, the upper and lower MAP bounds as well as the MAP range for maintained CVR) and neurological status and biomarkers of brain injury. The primary and secondary outcomes were stratified by the MAP, PaO2 and PaCO2 targets according to the COMACARE study design. We also explored factors associated with impaired CVR including patient, resuscitation and ICU admission characteristics.
Statistical methods
Categorical data are presented as counts and percentages and compared with the chi-square test. Continuous data are presented as medians with interquartile ranges (IQR) and compared with the Mann–Whitney U-test. We performed a univariable analysis to determine possible risk factors for impaired CVR defined as TOx > 0 and poor neurological outcome. We calculated the time-integrated area below OptTOx and OptMAP and outside the upper and lower MAP bounds for maintained CVR as well as the MAP range (mmHg min). Both the mean TOx in the separate time periods and integrated over 0–48 h were evaluated. Comparisons of TOx, OptTOx, OptMAP, MAP bounds and range for maintained CVR in the time periods 0–12 h, 12–24 h and 24–84 h between outcome groups were performed using mixed linear model analyses. We constructed multivariable models including age, sex, time to ROSC and hypertension as factors likely to influence CVR. All statistical analyses were performed using SPSS 25 (IBM, Armonk, NY, USA) or GraphPad PRISM (version 7.0d for MacOSX, GraphPad Software, La Jolla, CA, USA). A p value < 0.05 was considered statistically significant.
Results
From the main COMACARE study, we excluded 12 survivors with incomplete registrations of MAP or cStO2 data. A flowchart of study patients is presented in Fig. 1. Of the 108 OHCA patients, 32 had intact and 76 had impaired CVR. Baseline characteristics, cardiac arrest and resuscitation factors, medical history and ICU care indexed by whether the CVR was maintained or not are presented in Table 1. Patients with chronic hypertension were more likely to have impaired CVR (57.9% vs 31.3%, p = 0.012). In a multivariable model including age, gender and time to ROSC, chronic hypertension (OR 2.95, 95% CI [1.16, 7.51], p = 0.024) was the only independent predictor of impaired CVR.
Table 1.
Characteristic | Data available | All n = 108 |
Maintained CVR n = 32 |
Impaired CVR n = 76 |
p-value |
---|---|---|---|---|---|
Gender, n% (male) | 108 | 90 (83.3%) | 24 (75.0%) | 66 (73.3%) | 0.133 |
Age, years | 108 | 61.0 (53.0–70.0) | 55.0 (44.5–69.0) | 61.0 (53.0–66.3) | 0.057 |
BMI | 106 | 26.3 (23.4–29.4) | 26.3 (24.2–28.6) | 26.1 (23.3–29.4) | 0.866 |
Neurologic function before cardiac arrest | 108 | 0.950 | |||
Normal, CPC1, n (%) | 101 (93.5%) | 30 (93.8%) | 71 (93.4%) | ||
Some disability, CPC2, n (%) | 7 (6.5%) | 2 (6.3%) | 5 (6.6%) | ||
Cardiac arrest characteristics and resuscitation factors | |||||
Bystander CPR or compressions only, n (%) | 108 | 88 (81.5%) | 25 (78.1%) | 63 (82.9%) | 0.564 |
Initial rhythm | 108 | 0.359 | |||
VF, n (%) | 106 (98.1%) | 32 (100.0%) | 74 (97.4%) | ||
VT, n (%) | 2 (1.9%) | 0 (0%) | 2 (2.6%) | ||
Time to BLS, min | 106 | 7.0 (6.0–9.0) | 7.0 (6.0–10.0) | 8.0 (6.0–9.3) | 0.813 |
Time to ALS, min | 106 | 10.0 (8.0–12.0) | 9.0 (7.5–12.0) | 10.0 (8.0–12.0) | 0.643 |
Time to ROSC, min | 106 | 21.0 (16.0–25.0) | 17.7 (15.5–25.0) | 18.8 (14.1–24.5) | 0.197 |
GCS after ROSC | 99 | 3.0 (3.0–3.0) | 3.0 (3.0–4.5) | 3.0 (3.0–3.3) | 0.093 |
Medical history | |||||
IHD (NYHA class IV), n (%) | 107 | 2 (1.9%) | 0 (0%) | 2 (2.7%) | 0.353 |
HTA, n (%) | 108 | 54 (50.0%) | 10 (31.3%) | 44 (57.9%) | 0.012 |
Smoker, n (%) | 95 | 32 (33.7%) | 10 (37.0%) | 22 (32.4%) | 0.665 |
Treatment | |||||
PCI before ICU admission | 108 | 53 (49.1%) | 14 (43.8%) | 39 (51.3%) | 0.477 |
Severity of illness score | |||||
Apache II | 108 | 27.0 (24.0–30.0) | 27.0 (24.0–29.0) | 27.0 (24.0–31.3) | 0.119 |
Targeted temperature management | 108 | 0.140 | |||
33 °C, n (%) | 77 (71.3%) | 26 (34.0%) | 51 (66.0%) | ||
36 °C, n (%) | 31 (28.7%) | 6 (20.0%) | 25 (80.0%) | ||
EEG – beginning POOR | 107 | 81 (75.7%) | 24 (77.4%) | 57 (75.0%) | 0.794 |
EEG – end POOR | 107 | 36 (33.6%) | 9 (29.0%) | 27 (35.5%) | 0.523 |
Brain oedema, NO | 108 | 108 (100%) | 32 (100%) | 76 (100%) | |
Duration of mechanical ventilation, hours | 80 | 70.5 (49.5–95.2) | 70.5 (49.1–90.5) | 63.1 (49.2–95.1) | 0.637 |
Length of stay in ICU, hours | 104 | 103.0 (76.6–145.9) | 107.0 (78.5–132.0) | 92.30 (75.0–141.0) | 0.575 |
Mortality 30 d | 108 | 33 (30.6%) | 8 (25.0%) | 25 (32.9%) | 0.418 |
CPC 6 months, poor | 108 | 35 (32.4%) | 9 (28.1%) | 26 (34.2%) | 0.539 |
Numbers are median (interquartile range) or n (percentage)
CVR cerebrovascular reactivity, BMI body mass index (kg/m2), BLS basic life support, ALS advanced life support, GCS Glasgow coma scale, ROSC return of spontaneous circulation, IHD ischemic heart disease, HTA arterial hypertension, PCI percutaneous coronary intervention
Markers of cerebrovascular reactivity
The primary outcome i.e. the comparison of changes in CVR assessed by TOx against neurological outcome are shown in Table 2. The primary outcome variable mean TOx was higher in patients with poor functional outcome when analysed with mixed linear analysis (p = 0.004). In addition, the cumulative time-integrated “AUROC” TOx (0–48 h) was higher in patients with poor neurological outcome than in those with good outcome (0.89 (95% CI [− 1.17; 2.94] vs − 2.71 (95% CI [− 4.16; − 1.26], p = 0.05).
Table 2.
Group | 0–12 h | 12–24 h | 24–48 h | p-value | |
---|---|---|---|---|---|
Mean TOx | Poor outcome | 0.06 (− 0.07 to 0.14) | − 0.03 (− 0.11 to 0.16) | 0.01 (− 0.09 to 0.14) | 0.004 |
Good outcome | − 0.04 (− 0.12 to 0.04) | − 0.05 (− 0.21 to 0.05) | − 0.02 (− 0.10 to 0.06) | ||
OptTOx | Poor outcome | − 0.21 (− 0.35 to − 0.02) | − 0.17 (− 0.36 to − 0.02) | − 0.19 (− 0.36 to − 0.05) | 0.077 |
Good outcome | − 0.24 (− 0.38 to − 0.14) | − 0.27 (− 0.48 to − 0.10) | − 0.23 (− 0.37 to − 0.11) | ||
OptMAP | Poor outcome | 79.7 (73.5–87.8) | 76.4 (71.1–81.7) | 81.7 (72.4–88.3) | 0.079 |
Good outcome | 80.9 (71.4–86.7) | 81.7 (73.0–87.4) | 82.7 (75.0–87.4) | ||
Upper MAP bound | Poor outcome | 90.5 (81.1–98.4) | 89.5 (80.6–92.9) | 92.8 (83.4–100.3) | 0.001 |
Good outcome | 94.7 (85.4–102.3) | 93.4 (83.2–100.4) | 94.4 (89.0–101.0) | ||
Lower MAP bound | Poor outcome | 69.6 (64.2–74.4) | 66.2 (63.0–73.1) | 68.5 (63.4–74.4) | 0.569 |
Good outcome | 68.0 (63.3–75.9) | 69.7 (62.1–74.7) | 68.4 (63.6–73.5) | ||
MAP range | Poor outcome | 19 (15–30) | 24 (17–26) | 23 (17–29) | < 0.001 |
Good outcome | 28 (23–36) | 25 (20–36) | 33 (25–39) |
p values are comparing good versus poor neurologic outcome
Values are expressed as medians (interquartile ranges)
OptTOx optimal tissue oxygenation index
OptMAP optimal mean arterial pressure
With regard to the secondary outcomes, the mean TOx, OptTOx, OptMAP, upper and lower MAP bounds and MAP range for maintained CVR in patients for time periods 0–12 h, 12–24 h and 24–48 h are reported in Table 2. Patients with poor neurological function had a decreased upper MAP bound for maintained CVR compared to patients with good neurological function in all time intervals in the mixed linear model analysis (p = 0.001) (Table 2). In the intervention groups, the upper MAP bound for maintained CVR was significantly decreased during all three time periods in patients with poor neurological outcomes compared to patients with good outcomes in the high-normal PaCO2 (p = 0.012), high PaO2 (p = 0.002) and high-normal MAP (p = 0–001) groups (Additional file 1: Table S1). The MAP range of maintained CVR was narrower in patients with poor outcomes in all three time periods in the mixed linear analysis (p < 0.001) (Table 2). We found no difference in OptTOx, lower MAP bound and OptMAP between patients with good or poor outcomes (Table 2).
Time-integrated mean arterial pressure area between, below and above the bounds for maintained cerebrovascular reactivity
There were no statistically significant differences in the MAP areas between the lower and upper MAP bounds for maintained CVR nor below the lower MAP bound or above the upper MAP bound comparing patients with good or poor long-term outcomes (Table 3). Also, MAP areas were explored within all treatment arms (Additional file 1: Table S2). The MAP area below the lower MAP bound for maintained CVR was larger in the low PaCO2 group during the time periods 12–24 h and 24–48 h (p = 0.024) (Additional file 1: Table S2). Patients in the high MAP group had a larger MAP area below the lower MAP bound for maintained CVR during the time periods 0–12 h and 12–24 h (p = 0.021) (Additional file 1: Table S2). A comparison of optimal MAP groups in all time periods, 0–12 h, 12–24 h and 24–48 h, is shown in Fig. 2.
Table 3.
0–12 h | 12–24 h | 24–48 h | p-value | |
---|---|---|---|---|
MAP area between lower and upper MAP bounds, mmHg min | ||||
All patients | 5399 (3950–8231) | 7958 (4818–11079) | 15870 (9423–21785) | |
Good outcome | 6900 (4849–8880) | 8389 (5166–11479) | 17277 (10180–22792) | 0.246 |
Poor outcome | 5542 (3292–6903) | 6134 (3500–9262) | 12139 (6305–16794) | |
MAP area below lower MAP bound, mmHg min | ||||
All patients | 132 (36–479) | 107 (31–305) | 235 (6–653) | |
Good outcome | 118 (33–358) | 103 (28–319) | 235 (54–503) | 0.061 |
Poor outcome | 150 (46–502) | 134.6 (54.2–358.3) | 197 (85–1153) | |
MAP area above upper MAP bound, mmHg min | ||||
All patients | 315 (100–846) | 195 (55–1004) | 266 (99–101) | |
Good outcome | 319 (96–800) | 135 (28–338) | 222 (79–1011) | 0.243 |
Poor outcome | 314 (108–1369) | 253 (64–10492) | 339 (149–1010) |
Values are expressed as medians (interquartile ranges)
NSE, S100B and NfL and cerebrovascular reactivity
Biomarker concentrations 48 h after OHCA versus CVR are illustrated in Fig. 3. The NfL concentration was higher in patients with impaired CVR compared with those with maintained CVR (43.0 [inter-quartile range, 15.2–650.3] µg/L vs. 20.4 [13.0–199.3] µg/L). A mixed linear model of NfL levels over time in patients with maintained or impaired CVR showed a statistically significant difference (p = 0.042). No significant differences in the median serum NSE or S100B concentrations were found after 48 h in OHCA patients based on whether they had maintained or impaired CVR (Fig. 3).
The analysis of all biomarkers at 48 h indexed by whether CVR was maintained or impaired in the different study time periods indexed by intervention groups is reported in Additional file 1: Table S3 and S4. Biomarkers of brain injury were increased in patients with impaired CVR in all intervention groups during the first 12 h but not at later time points.
Discussion
In this post-hoc analysis of the COMACARE study cohort focusing on cerebrovascular reactivity (CVR), a majority of patients had impaired reactivity as assessed by the tissue oxygenation index (TOx), most commonly in patients with chronic hypertension. The TOx was higher, consistent with impaired CVR, in patients with poor neurological outcome over the whole time period studied (0–48 h) but not in the isolated 12–24 h intervals. Patients with poor neurological outcome had a decreased upper MAP bound and a narrower MAP range for maintained CVR but there was no difference in the lower MAP bound. The decreased upper MAP bound for maintained CVR in patients with poor outcome was observed in patients treated with a higher rather than lower oxygen, carbon dioxide and MAP targets when the subgroups were studied separately. Patients with impaired CVR had increased levels of the brain injury biomarker NfL but not NSE or S100b.
The importance of optimising cerebral oxygen delivery to mitigate hypoxic-ischaemic brain injury is supported by observational data that include strategies of augmented MAP to ameliorate ongoing cerebral ischemia in patients after cardiac arrest [6]. Previous smaller studies have demonstrated that impaired CVR is associated with hypoxic-ischaemic brain injury and poor neurological outcomes following cardiac arrest (CA) [4, 5, 15]. Regulatory interdependence between MAP and arterial blood gases provides synergistic effects on CBF and underpins the rationale of this post-hoc analysis. While the TOx in the isolated time periods studied was not statistically different between patients with good and poor neurological outcomes, the time-integrated TOx was higher consistent with impaired CVR in patients with poor neurology. Ameloot et al. [13] studied 51 comatose survivors of non-traumatic CA treated with target temperature management (TTM) at 33 °C for 24 h and reported impaired CVR in 35% of the patients using the same cut-off for the slope of the cStO2/MAP correlation (> 0) as used in this study. Pham et al. [12], using a similar TOx definition for impaired CVR, reported an incidence rate of 15/23 (65%) in comatose survivors of CA of cardiac origin, which is very similar to the proportion found in the present study, which comprised almost five times as many subjects. Sekhon et al. [14] performed a feasibility study of TOx in 20 cardiac arrest patients and reported impaired CVR in 15% of all individual measurements using a higher threshold at TOx > 0.3. Both Ameloot et al. and Pham et al. demonstrated an association between CVR and clinical outcomes, either as the odds’ ratio for survival in a good neurological state in patients with maintained CVR (4.62 [1.06–20.1]) [5] or as the odds ratio for survival in patients with impaired CVR (0.15 [0.01–0.50]) [4]. The variability in CBF attributable to changes in MAP may be limited in critically ill patients [23] hence disrupting the coherence of vascular pressure reactivity to assess CVR. This could explain the lack of association between TOx in isolated time periods and neurological outcomes while the time-integrated TOx might represent a more robust measure of CVR after CA. These findings indicate that the duration of data capture warrants careful consideration in the design of any TOx guided interventional studies in CA patients as the most beneficial time for monitoring and therapy remain to be established. Both age and chronic hypertension demonstrated an independent association with impaired CVR in this study that is aligned with the higher frequency of disturbed CVR reported by Ameloot et al. [13] in patients with chronic hypertension. The importance of CVR is further highlighted by the increased NfL levels in patients with impaired CVR, indicating a more severe brain injury when CVR is attenuated.
Overall, cerebrovascular reactivity and the factors affecting it are regrettably still poorly known [24]. Previously, modification and optimization of CVR in brain injury and ICH by altering blood pressure and ventilation have been described in the literature [25, 26]. It has also been hypothesized that the brain endothelin systems could be used as therapeutic targets for improving CVR, as they are involved in both vasoconstriction and vasodilation of cerebral blood vessels, both key elements in CVR and also involved in pathologic processes leading to both ischemia and oedema in brain injuries [27]. The TOx analyses in this study allow for a more nuanced assessment of CVR capacity beyond a dichotomising threshold value. This includes the lower and upper MAP bounds and the range of MAP that delineates maintained CVR as well as the MAP associated with the lowest optimal TOx. This study used a more conservative threshold of TOx at 0.3 to delineate the lower and upper MAP bounds [12, 15] compared to previous studies that used the transition from negative to positive TOx [4, 5]. The upper MAP bound for maintained CVR was consistently lower in patients with poor neurological outcomes than in those with good outcomes in all time intervals, and this included all the 23 factorial design groups with different targets for MAP, PaO2 and PaCO2. The upper MAP bound was high at 95–100 mmHg in the whole study cohort, and while not statistically different by outcome in all intervention subgroups, the numerical contrasts were consistent. Furthermore, the MAP range for maintained CVR was narrower in patients with poor outcomes during all time intervals and in all subgroups of MAP, PaO2 and PaCO2. This is aligned with animal studies of increased intracranial pressure [28] or induced subarachnoidal haemorrhage [29] demonstrating decreased upper MAP bound and a narrower MAP range for CVR. It is furthermore supported by clinical data in postoperative cardiac surgical patients demonstrating that a decreased upper MAP bound and narrower range was associated with delirium in ICU [30] and studies in patients with traumatic brain injury showing that supra-optimal MAP was associated with worse neurological outcome [20, 31]. It is possible that the decreased upper MAP bound observed in this study was the result of increased intracranial pressure and/or transient hypoperfusion although this was not independently investigated. Taken together, these findings demonstrate a limited tolerability to MAP fluctuations in patients with an ultimately poor neurological outcome and suggest that a more individualised approach to MAP management after OHCA is needed [32]. Rather than presenting only a sensitivity to low MAP, this study indicates the need to limit excessively high MAP in patients with impaired CVR. This is not unexpected since the normal autoregulatory capacity of CBF is more efficacious at buffering increases in blood pressure [7, 33] suggesting the particular harm of high MAP when CVR is impaired.
Current guidelines on post-cardiac arrest care recommend targeting a MAP higher than 65 mmHg and using adequate diuresis (more than 0.5 ml/kg) and lactate clearance as a guide of adequate tissue perfusion [34]. The lower MAP bound for maintained CVR was very close to the 70 mmHg reported in a recent review [35], albeit not statistically different between patients with good or poor outcomes. Importantly, the lower MAP bound was significantly higher [7] than classically suggested [36]. The most effective point of CVR, OptTOx, was numerically lower and the associated OptMAP numerically higher in patients with good compared to those with poor neurological outcome. However, this difference did not attain statistical significance (p = 0.08) in contrast to previous studies that demonstrated lower OptMAP in patients with good outcomes [4, 5]. Ameloot et al. demonstrated that the time below the OptMAP was negatively associated with survival, although the effect estimate was moderate with an odds ratio of 0.97 (0.96–0.99) per % of total study time. Differences in study design and analysis might explain these divergent results. This study captured data continuously over a longer period (48 h vs 24 h) [5] and with considerably greater detail compared to the daily median of 81 min for the first three days [4]. Reports of a gradual return of CBF over 72 h after an initial reduction in the first 12 h of post-cardiac arrest [3, 37–39], with the present study encompassing a larger proportion of the latter phase, might confound comparisons to a dichotomous separation of outcomes dependent on the first 24 h of cerebral haemodynamics.
To answer the key question whether, and to what degree, cardiac arrest results in a disturbance in CVR requires an adequate control group. A previous pilot study demonstrated a lack of statistical difference between TOx during the first three days in post-cardiac arrest patients managed in the intensive care unit and healthy volunteers [12]. This type of comparison is challenged by the short period for measurements with rapid and marked changes, particularly increases, in MAP used to assess CVR [4, 40] in normal subjects. This is not likely to occur in sedated patients with extended monitoring and using protocolised titration to MAP targets. The CVR is more effective in buffering decreases in MAP that are more likely to occur in a population with acute cardiac dysfunction or as part of the post-cardiac arrest syndrome than increases in MAP [7]. Assessments of CVR are also dependent on the range and dynamics of MAP changes [33].
Strengths and limitations
Strengths of the current study include a pre-specified protocol for the analyses and a relatively large and homogeneous patient sample. The extended period of monitoring up to 48 h is likely to have captured all phases of post-cardiac arrest cerebral haemodynamics. Important limitations of NIRS and TOx to monitor CVR must be acknowledged. The use of NIRS to derive TOx as a measure of CVR is dependent on the correlation between cStO2 and CBF, which might be variable [41]. Furthermore, different types of methods and mathematical approaches used to describe the CVR status, are still subject to several assumptions [42]. The use of NIRS for evaluation of CVR has nevertheless been widely studied and compared with these other metrics and with outcome in a large range of patient populations [13, 25, 43, 44]. In this study, resource use in the patients with intact and impaired CVR were not able to retrieve data on length of hospital stay and discharge destination even though this was included in the published protocol paper.
Perfusion pressure determined by MAP predominantly affects flow in the major cerebral arteries along with neurogenic control while other factors inherent to CVR such as blood CO2 and O2 tension, perivascular pH and metabolic neurovascular coupling affect the cerebral microcirculation at a level closer to the monitoring of cStO2 [7]. Barriers to oxygen diffusion after cardiac arrest may lead to dissociation between CBF and cStO2 [45]. The TOx variable has not been clinically validated in cardiac arrest patients but shows promise in patients at risk for adverse neurological events [13, 46, 47] and correlates with other measures of CVR based on intracranial pressure monitoring or transcranial Doppler flowmetry [43, 46, 48, 49]. However the physiology of CVR is more complex than a simple linear correlation between MAP and CBF. Notably, the correlations between CVR and PaO2 and PaCO2 levels appear to have non-linear characteristics [7]. It is biologically plausible that considerable heterogeneity across the cerebral vasculature and the anatomical regions of the brain may exist that further confound assessments of CVR restricted to linear correlations or when a local cStO2 measurement is taken to represent global CBF. The numerical results for CVR may not be applicable to patients monitored with other NIRS equipment as proprietary algorithms and optode designs to avoid extracranial contamination of the signal [44] generate different results [40]. The retrospective, observational design of this study means that no causal inferences may be made, and the results should be viewed to demonstrate associations and generate hypotheses for future investigation with TOx a potential clinical heuristic [24]. Comparisons of CVR in the COMACARE study with a cohort of healthy volunteers, while intended in the published protocol [19], were abandoned because of significant and unreconcilable incongruities in monitoring time and resolution, NIRS equipment and the degree and origin of MAP variations. Resource use in the patients with intact and impaired CVR including length of mechanical ventilation and ICU stay were captured. We have compared and reported these in Table 1. We acknowledge that our protocol paper (1) also mentioned length of hospital stay in the hospital and discharge destination but unfortunately, we have not been able to retrieve this data reliably for all patients.
Conclusion
Impaired CVR was common after cardiac arrest and occurred especially in patients with chronic hypertension. The tissue oxygenation index to assess CVR was only different between patients with good and poor neurological outcomes at six months when integrated over 48 h but not in shorter time periods. A decreased upper MAP bound and a narrower MAP range for maintained CVR was associated with poor neurological outcomes and impaired CVR was associated with higher levels of NfL, a novel marker of axonal brain injury.
Supplementary Information
Acknowledgements
COMACARE study group. Aarhus University Hospital: Thomas Birkelund, Susanne Ilkjaer and Hans Kirkegaard; Central Finland Central Hospital: Raili Laru-Sompa, Anni Pulkkinen, Mikko Reilama and Sinikka Tolmunen; Helsinki University Hospital: Minna Bäcklund, Jonna Heinonen, Johanna Hästbacka, Pekka Jakkula, Nina Lundbom, Marcus Norrgård, Marjatta Okkonen, Ville Pettilä, Markus B Skrifvars, Tarja Suhonen, Marjaana Tiainen, Tuukka Tikka, Marjut Timonen, Jussi Toppila, Miia Valkonen and Erika Wilkman; Jorvi Hospital: Teemu Hult and Tuomas Oksanen; Kuopio University Hospital: Stepani Bendel, Elina Halonen, Sari Rahikainen, Saija Rissanen and Eija Vaskelainen; North Karelia Central Hospital: Tanja Eiserbeck, Sirkku Heino, Helena Jyrkönen, Matti Reinikainen, Johanna Räsänen and Tero Surakka; Päijät-Häme Central Hospital: Talvikki Koskue, Petteri Kujala, Pekka Loisa and Marika Lähde; Tampere University Hospital: Jari Kalliomäki, Sari Karlsson, Atte Kukkurainen and Simo Varila.
Abbreviations
- OHCA
Out-of-hospital cardiac arrest
- ROSC
Return of spontaneous circulation
- MAP
Mean arterial pressure
- NIRS
Near-infrared spectroscopy
- cSto2
Cerebral tissue oxygenation
- PaCO2
Arterial carbon dioxide tension
- PaO2
Arterial oxygen tension
- TOx
Tissue oxygenation index
- CVR
Cerebrovascular reactivity
- OptTOx
Optimal cerebrovascular reactivity
- OptMAP
Mean arterial pressure at optimal cerebrovascular reactivity
- NSE
Neuron-specific enolase
- NfL
Neurofilament light
- APACHE II
Acute illness and chronic health evaluation score II
Authors' contributions
JL analysed the results and was responsible for preparing the manuscript. AA, AP and PM designed the study, analysed the results and were major contributors in writing the manuscript. JT contributed to the study design, was responsible for the assessment of neurological outcomes at six months and reviewed the manuscript. MS designed the study, obtained funding, actively recruited patients and was a major contributor to the writing of the manuscript. KB and HZ performed blood biomarker measurements. EW, JH, MR and PL recruited patients for the study. All authors reviewed and approved the final manuscript.
Funding
Independent funding support has been received from the Finnish Medical Foundation, Medicinska Understödsföreningen Liv och Hälsa, Sigrid Juselius Stiftelse and Finska Läkaresällskapet. HZ is a Wallenberg Scholar supported by grants from the Swedish Research Council (#2018–02532), the European Research Council (#681712), and Swedish State Support for Clinical Research (#ALFGBG-720931).
Availability of data and materials
The dataset consisting of de-identified participants’ data is available from the corresponding author upon reasonable request.
Declarations
Ethics approval and consent to participate
The COMACARE study protocol was approved by the research ethics committees of the Northern Savo District, Finland (Decision No. 295/2015) and the Midtjylland region, Denmark (Decision No. 1-10-72-163-16). In addition, the trial protocol was approved by the institutional review board at each participating hospital.
Consent for publication
Not applicable.
Competing interests
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). Markus Skrifvars reports a lecture fee and travel grant from BARD Medical (Ireland). Erika Wilkman reports an external research support agreement (Research-Devices Grant, INVOS) with Medtronic (Covidien Ag).
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The dataset consisting of de-identified participants’ data is available from the corresponding author upon reasonable request.