Jamie M Kawadler1, Christina Liossi2, Chris A Clark1, and Fenella J Kirkham1
1Developmental Neurosciences, UCL Great Ormond Street Institute of Child Health, London, United Kingdom, 2School of Psychology, University of Southampton, Highfield, United Kingdom
Synopsis
Although acute vaso-occlusive
pain crises are common in sickle cell disease (SCD), some patients also
experience chronic daily pain. This study investigated cortical areas involved
in pain processing in low-pain and high-pain groups of patients at baseline of
a trial with a pain burden outcome. High-pain patients had significantly
thinner cortex in the right anterior cingulate cortex, bilateral posterior
cingulate cortex, bilateral precuneus and left primary motor cortex. This is
the first study showing structural brain abnormalities in patients with SCD and
a high pain burden; these data may provide potential biomarkers for longitudinal
trials of treatment for chronic pain.
Purpose
Sickle cell anaemia (SCA)
is associated with frequent episodes of vaso-occlusive pain crises, which are
the most common reason for hospitalisation in this population. While acute pain
crises are common, many patients also experience chronic daily pain1, which may be due to avascular necrosis of
joints, bone infarction, leg ulcers and chronic osteomyelitis or due to intractable
chronic pain without obvious pathology2,3. Children with SCA as young as 6 months can
experience pain4; yet, not all patients experience a significant
chronic pain burden5. The impact of chronic sickle cell pain on the
brain is not yet clear; a recent resting-state fMRI study showed a correlation between
functional connectivity of the default-mode network and number of
hospitalizations for pain6. In other chronic pain conditions, reduced grey
matter volume has been noted in various regions involved in pain processing
such as the thalamus7, hippocampus7–9, amygdala6,7, anterior7,10,11 and posterior6–13 cingulate cortex (ACC and PCC, respectively),
primary motor cortex13,14 (M1), primary somatosensory cortex6–9,13 (S1) and insula cortex. The aim of this study
is to investigate the relationship between daily pain and a priori selected grey matter regions in a sample of children and
adults with SCA.Methods
As part of the baseline
assessments for the Prevention of Morbidity in Sickle Cell Anaemia (POMS)
phase-II trial, 52 children and adults recorded baseline daily pain and
underwent neuropsychological testing and MRI in the 14 days prior to
randomisation to the trial. Patients were excluded from the trial if he/she had
a hospital admission for pain within one month. Daily pain was recorded on a
numerical scale 0-10 for 14 days. Patients were split into “Low-Pain” group
(<50% recorded days in pain) or “High-Pain” group (>50% of recorded days
in pain). Average pain for the previous 24 hours (0-10) and current pain (0-10)
was recorded and averaged over all recorded days. Neuropsychological assessment
was carried out using: Wechsler Abbreviated Scale of Intelligence (WASI)
2-subtest measure of full-scale IQ (FSIQ), Wechsler Abbreviated Scale of
Intelligence (WAIS-IV) working memory index (WMI) and processing speed index (PSI),
Delis-Kaplan Executive Function System (D-KEFS) Tower and Sorting subtests.
Patients underwent MRI on a 3T Siemens Prisma (Erlangen, Germany) that included
an axial T2-weighted sequence (TR=8420ms, TE=68ms, voxel size=0.51x0.51x5.6mm)
and coronal FLAIR sequence (TR=5000ms, TE=395ms, voxel size=0.65x1x0.65mm) to
diagnose presence or absence of silent cerebral infarction and a 3D T1-weighted
MPRAGE (TR=2300ms, TE=2.74ms, voxel size=1mm3). Cortical
parcellation and subcortical segmentation was carried out using Freesurfer v5.3
(http://surfer.nmr.mgh.harvard.edu/). A model was fitted to the imaging data
variables to investigate differences between low-pain and high-pain groups, controlling
for age, gender and presence of SCI15. Differences in cognitive measures between
low-pain and high-pain groups used age, gender, SCI16 and socioeconomic status17 (Index of Multiple Deprivation decile by UK
postcode) as covariates.Results
Five children were
excluded from analysis due to excessive motion, poor quality data or braces
artefact. The final sample was 47 children and adults with SCA (Figure 1). The
high-pain group was significantly older than the low-pain group and there was a
significant correlation with percentage of days in pain and age (r=0.53, p=0.0001). In the low-pain
group, 11 patients reported no pain during the recorded days.
Patients in the high-pain
group had significantly lower WMI and a trend for lower FSIQ, PSI, Sorting –
correct sorts and Sorting – free sorting description (Figure 1).
High-pain patients had
significantly reduced cortical thickness in the mean cortex of the left and
right hemispheres, and also significantly thinner cortex in the bilateral
precuenus, bilateral PCC, left M1 and right caudal ACC (Figure 2). There was a
trend for positive correlation between average pain and right-hemisphere
rostral ACC thickness. There were no significant differences in volumes of the
bilateral thalamus, bilateral hippocampus and bilateral amygdala between low-
and high-pain groups.Conclusion
This study is the first to
describe structural brain abnormalities in patients with high burden of sickle
cell pain. Several cortical areas involved in pain processing that underlie the
default-mode network6 were found to be significantly thinner in high-pain
patients. These patients are part of a 6-month randomised controlled trial of
overnight oxygen support with cognitive and pain endpoints as well as repeat
MRI; this study may provide structural biomarkers that may parallel
amelioration of chronic daily pain with interventions including reduction of
hypoxic exposure18.Acknowledgements
No acknowledgement found.References
1. Ballas SK,
Gupta K, Adams-Graves P. Sickle cell pain: a critical reappraisal. Blood
2012;120(18):3647–3656.
2. Ballas SK.
Pain Management of Sickle Cell Disease. Hematol. Oncol. Clin. North Am.
2005;19(5):785–802.
3. Benjamin LJ,
Payne R. Pain in sickle cell disease: a multidimensional construct. In: Pace P,
editor. Renaissance of Sickle Cell Disease Research in the Genome Era. London,
United Kingdom: Imperial Press; 2007 p. 99–116.
4. Platt OS,
Thorington BD, Brambilla DJ, et al. Pain in sickle cell disease. Rates and risk
factors. N. Engl. J. Med. 1991;325(1):11–6.
5. Dampier C, Ely
B, Brodecki D, O[apos ]Neal P. Characteristics of pain managed at home in
children and adolescents with sickle cell disease by using diary self-reports.
J. Pain 2002;3(6):461–470.
6. Darbari DS,
Hampson JP, Ichesco E, et al. Frequency of Hospitalizations for Pain and
Association With Altered Brain Network Connectivity in Sickle Cell Disease. J.
Pain 2015;16(11):1077–1086.
7. De Kruijf M,
Bos D, Huygen FJPM, et al. Structural brain alterations in community dwelling
individuals with chronic joint pain. Am. J. Neuroradiol. 2016;37(3):430–438.
8. Hubbard CS,
Khan SA, Keaser ML, et al. Altered Brain Structure and Function Correlate with
Disease Severity and Pain Catastrophizing in Migraine Patients. eNeuro
2014;1(1):2–17.
9. Liu P, Yang J,
Wang G, et al. Altered regional cortical thickness and subcortical volume in
women with primary dysmenorrhoea. Eur. J. Pain (United Kingdom) 2016;20(4):512–520.
10. Mordasini L,
Weisstanner C, Rummel C, et al. Chronic Pelvic Pain Syndrome in Men is
Associated with Reduction of Relative Gray Matter Volume in the Anterior
Cingulate Cortex Compared to Healthy Controls. J. Urol. 2012;188(6):2233–2237.
11. Younger JW,
Shen YF, Goddard G, Mackey SC. Chronic myofascial temporomandibular pain is
associated with neural abnormalities in the trigeminal and limbic systems. Pain
2010;149(2):222–228.
12. Ceko M,
Bushnell MC, Fitzcharles MA, Schweinhardt P. Fibromyalgia interacts with age to
change the brain. NeuroImage Clin. 2013;3:249–260.
13. Hubbard CS,
Becerra L, Heinz N, et al. Abdominal pain, the adolescent and altered brain
structure and function. PLoS One 2016;11(5):1–30.
14. Moayedi M,
Weissman-Fogel I, Crawley AP, et al. Contribution of chronic pain and
neuroticism to abnormal forebrain gray matter in patients with
temporomandibular disorder. Neuroimage 2011;55(1):277–286.
15. Kawadler JM,
Clayden JD, Kirkham FJ, et al. Subcortical and cerebellar volumetric deficits
in paediatric sickle cell anaemia. Br. J. Haematol. 2013;163(3):373–6.
16. Kawadler JM,
Clayden JD, Clark CA, Kirkham FJ. Intelligence Quotient in Paediatric Sickle
Cell Disease: a Systematic Review and Meta-Analysis. Dev. Med. Child Neurol.
2016;
17. King AA,
Strouse JJ, Rodeghier MJ, et al. Parent education and biologic factors
influence on cognition in sickle cell anemia. Am. J. Hematol. 2014;89(2):162–7.
18. Hargrave DR,
Wade A, Evans JPM, et al. Nocturnal oxygen saturation and painful sickle cell
crises in children. Blood 2003;101(3):846–8.