Mariska E Hendriks1, Irene MC Huenges-Wajer2, Theo D Witkamp3, Jeroen Hendrikse4, Gabriel JE Rinkel4, Johanne MA Visser-Meily4, Mervyn DI Vergouwen4, and Jill B De Vis5
1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Rehabilitation, University Medical Center Utrecht, 3University Medical Center Utrecht, Netherlands, 4University Medical Center Utrecht, 5Radiology, University Medical Center Utrecht, Washington, DC, United States
Synopsis
A significant amount of patients with aneurysmal
subarachnoid hemorrhage suffer from cognitive impairment. The exact origin of
this cognitive impairment is unclear. Lesions developing in relation to the
event have been hypothesized as the mechanism of action. However, literature on
this topic is inconclusive. We aimed to scrutinize this by analyzing our cohort
of patients. Lesions were found in 60%
of patients, no relation was found with
cognitive outcome, This could be due to selection bias as most of the included patients
had a good or mild impaired clinical status at admission and demonstrated ‘no
cognitive impairment’ at follow-up.
Introduction
Aneurysmal
subarachnoid hemorrhage (aSAH) has a bad prognosis with a mortality rate of 50%
and 40% of survivors suffering from a physical disability 1. In
addition, a significant amount of survivors experience cognitive impairment 2.
The exact origin of this cognitive impairment has not been fully established
yet. Ischemic lesions developing from ictus on have been hypothesized to be the
source. However, literature on this issue is scarce and inconclusive 3-7.
Thereby the purpose of this study was to elucidate this topic by evaluating the
relation between lesion load (number and volume of lesions) and cognitive
performance. Methods
This study was approved by the institutional review board of our
institution. Inclusion criteria for this study were as follows; (1) confirmed
aSAH, (2) endovascular treatment of the aneurysm, (3) no aSAH in medical
history, and (4) MRI performed in the subacute phase (3-21 days after ictus). Imaging
was performed on either a 1.5 or 3T system (Philips, Best, The Netherlands)
with a body coil as transmitter and an 8-channel head coil as signal receiver.
The imaging protocol consisted of a T2 fluid-attenuated inversion
recovery (T2- FLAIR) and a diffusion-weighted imaging (DWI) sequence.
Scan parameters of the T2-FLAIR and DWI sequence were TR-TI-TE=
10000-2800-140/120 ms and TR-TE=3348/3015-98/68 ms with 2 b-factors (0 and 1000
s/mm2), respectively. Lesion load and location was scored blinded
by an experienced neuroradiologist through a simultaneous assessment of the T2-FLAIR
and DW images. Lesion volume was assessed by manually outlining the
lesions on either the T2-FLAIR or DW images using Picture Archiving
and Communication System (PACS) software (Sectra AB, Linköping, Sweden). Neuropsychological
assessment covered the 6 cognitive domains; language, memory, executive
function, attention, processing speed and visuospatial function. Patients were
included in the neurocognitive outcome analysis when (1) assessment was
performed >21 days after ictus, (2) a minimum of 5 out of the 6 domains were
evaluated with more than 60% of all tests per domain completed. Results of
the assessment were transformed into z-scores which denote the deviation from a
control group (age: 58±16 years, 63% females), this transformation was done per
test, per domain, and an overall z-score was created. The following categories
were drawn: (1) ‘no impairment’: z-score = >-1 sd, (2) ‘mild impairment’: z-score = (-1) –(-2) sd, (3) ‘severe impairment’: z-score = <-2 sd.
Statistical analysis was performed with SPSS 21.0 (IBM SPSS Statistics for
Windows, Version 21.0. Armonk, NY:IBM Corp.).Results
A flowhart of the data-analysis enrollment process is given in Figure 1.
Baseline characteristics of the subjects included in the data-analysis are
given in Table 1, 90% of patients had either a good or mildly impaired clinical
status at admission as evaluated by the PAASH score (a derivative of the
Glasgow Coma Scale). Lesions were detected in 61% of the patients with a median
(range) number of lesions of 3 (1-37) per patient. The mean (±sd) volume of
lesions per patient was 2.4 (±6.1) ml. The median volume per lesion was 0.2
(0.0009-34.8). The lesions were mainly found in the watershed areas (52%,
Figure 2A) and (sub)cortical (91%, Figure 2B). Neuropsychological assessment
found ‘no impairment’ in 84% of the patients. No significant relation was found
between presence of lesions, number of lesions, lesion volume and cognitive outcome in any of the 6 neurocognitive domains or in overall cognitive outcome (p >0.1).Discussion and conclusion
In this study we found no correlation between lesion load and cognitive outcome in a cohort of aSAH patients of whom most (84%) did not demonstrate
cognitive impairment at follow-up when assessed with a neuropsychological test
battery. Most of the patients included in this study presented with either good
or mild impaired clinical status (90%) at admission which could explain their
mild clinical course. The number of lesions did correspond with earlier
published data, however, the lesion volume was lower 4. In
conclusion, our data does not elucidate cognitive impairment after aSAH due to
a selection bias. This selection bias is thought to be caused by relative
contraindications for MRI in clinically unstable aSAH patients who are most
likely also the patients who will experience most cognitive problems at
follow-up.Acknowledgements
No acknowledgement found.References
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