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Record W2890958872 · doi:10.1113/jp276800

Emerging views of how changes in blood pressure influence cerebral blood flow

2018· letter· en· W2890958872 on OpenAlexafffund
Hannah G. Caldwell

Bibliographic record

VenueThe Journal of Physiology · 2018
Typeletter
Languageen
FieldMedicine
TopicTraumatic Brain Injury and Neurovascular Disturbances
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCerebral blood flowBlood pressureBlood flowMedicineCardiologyNeuroscienceInternal medicinePsychology

Abstract

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In addition to cerebral metabolism and autonomic control, cerebral blood flow (CBF) is principally regulated by the partial pressure of arterial carbon dioxide () and mean arterial pressure (MAP). The early understanding of the cerebrovascular pressure–flow relationship was ‘pressure-passive’; this prevailing view indicates that a rise in MAP increases CBF and vice versa. Conversely, Lassen (1959) reviewed the CBF response across groups and clinical populations and suggested that CBF is stable across a relatively wide range of MAP (e.g. 60–150 mmHg), termed static cerebral autoregulation (CA); however, when considered within the same participants, the CBF vs. MAP relationship likely occurs over a much narrower range. Additionally, it has been shown that there is an interaction between CA and the sensitivity of CBF to changes in . For example, a reduction in MAP (i.e. hypotension) effectively attenuates the cerebrovascular responsiveness to changes in (Harper & Glass, 1965). The understanding of cerebrovascular regulation has been extended over the last 20 years with sophisticated models of MAP regulation in both animal and human studies. Together with various models of hypotension (e.g. pharmacological interventions, head-up tilt, lower-body negative pressure) and non-invasive measures of volumetric CBF (e.g. extra-cranial duplex ultrasound), recent research has provided new insights into the competing influences of MAP and on the regulation of CBF. In a recent issue of The Journal of Physiology, Olesen et al. (2018) evaluated the influence of hypotension via intravenous infusion of sodium nitroprusside (SNP) on regional CBF regulation in humans with an aimed 20% and 40% reduction in MAP, while keeping MAP ≥50 mmHg. In 19 healthy males (24 ± 4 years), regional CBF of the right internal carotid artery (ICA) and vertebral artery (VA) was assessed via duplex ultrasound together with transcranial Doppler (TCD) measures of right middle cerebral artery blood velocity (MCAv). Arterial catheterization was performed to measure arterial blood gases, metabolic substrates and cardiovascular variables. To account for the possible influence of hypocapnic cerebral vasoconstriction, Olesen et al. evaluated CO2 reactivity for ICA and VA via hyperventilation at rest and have reported CBF with ‘correction’ for changes in with hypotension (i.e. 2.8% reduction in CBF per mmHg reduction in ). The primary finding was that during SNP-induced reduction in MAP (and ), global CBF and VA blood flow were maintained via an increase in cerebrovascular conductance. In contrast, ICA blood flow was elevated at the moderate reduction in MAP but returned to the baseline value at the more severe level of hypotension. Following ‘correction’ for hypocapnia with progressive hypotension, global CBF and ICA blood flow were elevated; however, VA blood flow was unchanged. Overall, these results indicate a differential regional CBF regulation in the anterior (ICA) and posterior (VA) cerebral circulations during progressive hypotension; together these changes mediated the maintenance of global CBF. These novel findings merit further discussion with respect to: (1) the effectiveness of CA; (2) global and regional changes in CBF regulation during experimental models of hypotension; and (3) possible clinical implications. Contrary to previous reports of a narrow CA range, Olesen et al. reported a relatively wide CA range during progressive hypotension (see Fig. 1). To extend these findings, we calculated the CA slope between the percentage change in cerebrovascular resistance (i.e. CVR = MAP/CBF) and relative reduction in MAP using the regression coefficient from three key studies to date. Notably, whereas Olesen et al. have shown stable CA across progressive hypotension using a pharmacological intervention, Sato et al. (2012) and Lewis et al. (2015) have reported a compromise in CA when hypotension was induced via head-up tilt with thigh cuff release and lower-body negative pressure (LBNP), respectively. Whereas the latter experimental models of hypotension evoke marked elevations in sympathetic nervous activity, the use of SNP seems to help facilitate CA via direct cerebral vasodilatation irrespective of modest increases in sympathetic activity. In other words, while all models of hypotension should theoretically result in some cerebral vasodilatation (i.e. CA), the use of SNP seems to cause additional dilatation (i.e. further facilitation of CA). Regulation of ICA and VA blood flow with alterations in is also somewhat equivocal and may be related to the different physiological stresses elicited by different models of hypotension. Lewis and colleagues (2015) reported that independent of , the reduction in global CBF with hypotension (i.e. 20% reduction in MAP) is influenced by vasoconstriction of both the ICA and VA. In contrast, in the study by Olesen et al. during poikilocapnic conditions (i.e. reduction in from 41 to 39 mmHg), the 17% SNP-induced reduction in MAP evoked vasodilatation of both ICA and VA. Additionally, even at the highest rate of SNP infusion – provoking a 31% reduction in MAP – was only lowered to 37 mmHg in the study by Olesen et al. compared to a marked reduction in of 26 mmHg with a modest 20% decrease in MAP via LBNP by Lewis and colleagues (2015). The inconsistency between constriction vs. dilatation of the cerebral arteries is likely explained by differences in sympathetic activity and, therefore, differences in hyperventilatorily induced reductions in evoked by LBNP and SNP. Consistent with the Olesen et al. study, Sato and colleagues (2012) reported a preserved VA blood flow response to orthostatic stress (e.g. induced via 60° head-up tilt), indicating CBF regulation favouring the vertebro-basilar cerebral circulation supplying important cardiac, vasomotor and respiratory control centres. In contrast, Lewis et al. (2015) reported that VA and not ICA blood flow was sensitive to changes in hypotension and related hypocapnia. The relative reduction in regional VA blood flow by Lewis et al. (2015) was significantly correlated with the respective level of hypocapnia (i.e. 2.3% reduction in VA blood flow per mmHg reduction in ); these data indicate that VA reactivity to CO2 is present during LBNP-induced hypotension. As recognized by Olesen et al. a future perspective will be to investigate the effect of SNP on CBF when is maintained. Alternatively, the influence of systemic hypotension with and without SNP on CO2 reactivity can also be explored. Notably, SNP is an endothelium-independent relaxation agent that lowers MAP via systemic vasodilatation; however, SNP may also reduce CBF. This SNP-induced decrease in CBF may be related to arterial hypotension as well as an elevation in intra-cranial pressure (ICP), thereby reducing both MAP and cerebral perfusion pressure (CPP), respectively (i.e. CPP = MAP – ICP). Additionally, in some locations, SNP is used clinically to induce hypotensive anaesthesia to reduce surgical blood loss, and thus it is important whether SNP reduces the lower limit of CA or not. Notably, hypotension-induced hyperventilation and subsequent reduction in may influence regional CBF regulation. As such, the contradictory reports of SNP on CBF may be related to reductions in and thereby CBF. Additionally, irrespective of systemic hypotension, SNP may also directly influence both the extra- and intracranial cerebral arteries, thereby possibly contributing to and facilitating CA via additional cerebral vasodilatation. A future consideration for the current results from Olesen et al. would be to explore the effects of SNP on CBF regulation when MAP is maintained, perhaps with direct ICA administration of SNP utilizing carotid duplex ultrasound or magnetic resonance angiography assessment of CBF. This method would allow for cerebral vasodilatation via direct increased cerebral NO availability while controlling for the influence of systemic hypotension. Alternatively, the influence of SNP on CBF may be investigated in patients with neurological disease or traumatic brain injury who have been instrumented with a ventricular catheter for continuous ICP measurement. This assessment would further explain the effects of SNP on CBF regulation with the competing influence of a change in MAP. Olesen et al. estimated changes in MCA diameter by assuming similar changes in blood flow for the ICA and MCA. With the observed decrease in MCAv with progressive infusion of SNP (by 14 ± 7% and 25 ± 10%, respectively), Olesen et al. estimated an increase in MCA diameter at both infusion rates (by 12 ± 7% and 18 ± 8%, respectively). Consistent with these results, Lewis et al. (2015) reported that independent of hypocapnia, the reduction in ICA and VA blood flow due to hypotension was consistently larger than the decrease in MCAv and PCAv, respectively; these data indicate that TCD measures of blood velocity underestimate changes in CBF during hypotension. Additionally, although the attempt to post hoc correct for reductions holds merit, an improvement in the current study design would be to utilize an approach to ‘clamp’ directly independent of ventilation. Lastly, while pharmacologically induced hypotension elicits ‘static CA’ reported by Olesen et al., the studies by Lewis et al. (2015) and Sato et al. (2012) reflect ‘dynamic CA’, thereby further adding to the experimental difficulties and interpretation of MAP control. Overall, Olesen et al. have offered valuable insights on cerebrovascular regulation during pharmacologically induced hypotension and have provided direction for many future follow-up studies. None declared. Sole author Hannah G. Caldwell was funded by a NSERC CGS-Master’s Scholarship. Dr Philip N. Ainslie, University of British Columbia Okanagan, is acknowledged for helpful discussion and insightful feedback on this article.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.005
Scholarly communication0.0050.006
Open science0.0020.002
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.265
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2018
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