We still don't know the rate of neuronal death during the neuronal cascade of death or the hemorrhage cascade of death. If it is not quantified the stroke medical world will ignore that problem. Out of sight, out of mind.
Abstract
Background and Purpose—
In
the setting of acute ischemic stroke because of large-vessel occlusion
(LVO) there is progressive loss of brain tissue which occurs in a
time-dependent fashion previously quantified to be ≈1.9 million neurons
per minute. However, this number represents an average and accumulating
evidence suggests large individual variation. In this study, we aim to
quantify the distribution and range in the rate of loss brain tissue
across the entire spectrum of clinical phenotypes of anterior
circulation LVO strokes encountered in clinical practice.
Methods—
Retrospective
review of a prospectively acquired database of consecutive patients
with anterior circulation stroke because of proximal LVO and appropriate
ischemic core imaging was performed. Ischemic core volume was measured
using automated software processing and time from last known well to
imaging was recorded. Applying previously published methodology for
brain loss quantification, we computed rate of brain tissue elements
loss in proximal LVO stroke patients.
Results—
We
studied 415 patients with internal carotid artery or middle cerebral
artery (M1 segment) occlusion. Mean ischemic core volume was 50.4 mL and
mean time to imaging from time from last known well (TLKW) was 8.7
hours, which is similar to previously published data, translates into a
mean loss per minute of 2.03 million neurons, 14.8 billion synapses, and
12.8 km of myelinated fibers. However, the distribution of neuron loss
was highly variable, ranging from <35 000 to >27 million cells per
minute.
Conclusions—
Widely
spread rates of infarct growth are observed in acute ischemic stroke
because of proximal LVO with rate of neuron loss per minute ranging from
<35 000 per minute in slow progressors to >27 million per minute
in fast progressors, with a mean and median of 2 million and 0.9
million, respectively.
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