Introduction
Traumatic brain injury (TBI) is the leading cause of mortality and morbidity in young adults [
1]. Management of TBI aims at reducing secondary brain injuries by maintaining physiological parameters such as intracranial pressure (ICP), mean arterial blood pressure (MAP), cerebral perfusion pressure (CPP), and arterial euglycemia.
Arterial hyperglycemia is common post-TBI and has been associated with poor outcome [
2,
3]. This may in part be due to a negative effect on pressure autoregulation, as preclinical studies have shown that arterial hyperglycemia decreases cerebral and systemic blood flow and reduces endothelial function, indicating worsened autoregulation [
4‐
7]. Pressure autoregulation is the capacity to maintain an adequate, unchanged cerebral blood flow (CBF) over a wide range of CPPs. This is an important mechanism to avoid cerebral hypo-/hyperperfusion that may lead to cerebral ischemia or edema, respectively. Pressure autoregulation may be measured continuously as the pressure reactivity index (PRx), that is, the correlation coefficient between changes in MAP and ICP [
8]. A negative PRx indicates preserved pressure autoregulation, i.e., an increase in MAP leads to vasoconstriction to maintain CBF which in turn leads to less cerebral blood volume and ICP [
8]. Pressure autoregulation may become deranged post-TBI with high PRx values, which has been associated with worse outcome [
9,
10]. Endothelial, myogenic, and metabolic factors have been suggested to disturb the cerebral autoregulation, but the exact pathophysiological mechanisms remain unclear [
11]. In a recent clinical study by Donnelly et al., PRx had a positive, significant correlation with arterial glucose after TBI [
12]. Young et al. had similar findings in a pediatric TBI population [
13]. However, the interaction between arterial glucose, PRx, and cerebral energy metabolism has not been elucidated.
The aim of this study was to further investigate the association between arterial glucose, pressure autoregulation and cerebral energy metabolism to better understand the pathophysiological mechanisms of secondary brain injuries in TBI.
Discussion
In the current study, the main results were that high arterial glucose was associated with poor pressure autoregulation, high LPR and worse clinical outcome. However, the cerebral LPR only correlated weakly on day 2 with pressure autoregulation. Otherwise, LPR disturbances were mostly characterized by high lactate and normal to high pyruvate, indicating mitochondrial dysfunction. This suggests that arterial glucose and LPR may interact via metabolic rather than cerebrovascular pathways.
In line with prior studies [
13,
22], we found high arterial glucose to be associated with poor outcome (Table
4). As the mean daily arterial glucose decreased from days 1 to 3, the association between arterial glucose and outcome decreased in a similar way. However, mean arterial glucose had a stronger correlation with clinical outcome than the percentage of hyperglycemic insults (arterial glucose > 10 mM), indicating that also subthreshold values of arterial hyperglycemia may be deleterious for outcome. Several preclinical studies have demonstrated the worsening of a cerebral ischemic injury by hyperglycemia, particularly in stroke models [
23]. The pathophysiology of high arterial glucose in TBI is not fully elucidated; however, according to preclinical studies, arterial hyperglycemia decreases blood flow in systemic and cerebral blood vessels and causes endothelial dysfunction, indicating a link with failed cerebral autoregulation [
4‐
7]. Two clinical studies have shown a weak, significant correlation between pressure autoregulation and arterial glucose in adult and pediatric TBI, respectively [
12,
13], consistent with our results in the current study.
In contrast to these earlier studies, we also evaluated cerebral MD parameters and found an association between high arterial glucose with high cerebral LPR (Table
3). The lactate/pyruvate ratio describes the cellular redox state and high values indicate energy metabolic disturbances, which are correlated with brain tissue damage and poor outcome in TBI [
24,
25]. High arterial glucose was associated with both poor pressure autoregulation and high LPR days 1–3, but PRx55-15 showed significant correlation with LPR only on day 2. As previously demonstrated, cerebral hyperemia is common [
26] and poor pressure autoregulation predicts poor outcome particularly well on day 2 post-injury [
27]. This may explain why the link between the pressure autoregulatory status (PRx55-15) and brain tissue damage (LPR) was present only on day 2.
As the energy metabolic disturbances with LPR above 25 were most likely due to mitochondrial dysfunction in our study, it is possible that pathophysiological metabolic pathways of arterial glucose were more important than cerebrovascular dysregulation for these cerebral energy disturbances. For example, arterial hyperglycemia may generate mitochondrial dysfunction and cause energy crisis in neurons [
28]. In this study, we used cerebral pyruvate below 120 µM to distinguish between ischemia and mitochondrial dysfunction in cases of metabolic disturbances with LPR above 25. However, brain tissue oxygenation could have further improved this dichotomization. Future studies combining CBF measurements, brain oxygen monitoring, PRx55-15, and MD could shed better light on this pathophysiology.
It is uncertain if the correlations between arterial glucose with pressure autoregulation and cerebral LPR are causal or secondary to confounding factors such as primary injury severity and catecholamine release [
29,
30]. For example, arterial hyperglycemia has been shown to correlate with poor outcome in cases of post-traumatic stress, but not in cases due to comorbid diabetes mellitus [
31]. It is necessary to determine the influence of catecholamines and vasopressors on arterial glucose, pressure autoregulation and clinical outcome. In this study, only six patients had concurrent diabetes mellitus, which is why no further subgroup analysis was done. However, high arterial glucose independently predicted poor pressure autoregulation days 1 and 2, even after adjustment for injury severity (GCS M) and other factors such as age, ICP, and CPP.
Both low [
32] and high [
25] cerebral glucose levels have been shown to correlate with poor outcome and it has been widely debated how arterial glucose should be managed to optimize the cerebral glucose levels and to what degree the arterial and cerebral glucose levels correlate the following TBI. Magnoni et al. showed a preserved, positive, linear correlation between arterial and cerebral glucose in TBI [
33]. However, we have earlier found that this correlation varied over time post-injury and was only preserved in the uninjured parts of the brain [
34]. Diaz-Parejo also found a positive correlation between arterial and cerebral glucose, but cerebral lactate was only increased in cases of arterial hyperglycemia above 15 mM [
35]. Although our study had a larger study population compared with the other studies, we found no correlation between mean arterial and cerebral glucose on any of the first 3 days post-TBI (Fig.
3). One explanation could be our NIC-unit protocol with an attentive nurse with frequent ABG analyses that prohibited episodes of severe hypo- or hyperglycemia.
Furthermore, arterial glucose, but not focal cerebral glucose, correlated with the pressure autoregulatory status. This may be explained by that PRx55-15 is a global measure of the cerebrovascular reactivity, and arterial glucose is similarly a global measure of the glucose concentration in the cerebral arterial vessels. On the contrary, the cerebral glucose measure represents a focal brain region with weaker correlation to the global state.
The paradox of arterial glucose management in TBI is that whereas hyperglycemia per se is associated with poor outcome and deranged neurophysiology, tight glycemic control with intensive insulin therapy (IIT) management to normoglycemia has failed to reduce mortality and improve outcome in TBI [
36‐
39]. There were some advantages with IIT such as shorter intensive care unit stay and lower infection rate, but it also led to an increased frequency of hypoglycemia. Furthermore, IIT post-TBI generated worse MD parameters with lower cerebral glucose and increased cerebral LPR than conventional glycemic control [
22,
39]. Critically, low interstitial cerebral glucose commonly observed the following TBI, e.g., in conjunction with spreading depolarizations, has been associated with unfavorable outcome [
40]. Due to the lack of clear evidence of benefits for IIT in the neurointensive care setting, a more loose glycemic control is mostly applied [
23]. This indicates that we still know little about the pathophysiology and optimal glucose management in TBI. Further insights into the pathophysiology of hyperglycemia on, e.g., cerebrovascular reactivity and cerebral metabolism over time post-TBI may lead to better arterial glucose management protocols that can improve outcome.
Limitations
Limitations of the study include the following. First, the number of significance tests was plenty, increasing the risk for type I errors, without adjustment for multiple corrections. However, this was as hypothesis generating study and many correlations such as arterial glucose versus PRx55-15 were highly significant (p value = 0.001). Furthermore, although arterial glucose correlated significantly with PRx55-15 and LPR, the coefficients were relatively weak. This indicates that other factors than arterial glucose are important for the pressure autoregulatory status and cerebral energy metabolism.
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