scholarly journals Cardiovascular risk and white matter lesions after endocrine control of Cushing's syndrome

2015 ◽  
Vol 173 (6) ◽  
pp. 765-775 ◽  
Author(s):  
Alicia Santos ◽  
Eugenia Resmini ◽  
Beatriz Gómez-Ansón ◽  
Iris Crespo ◽  
Esther Granell ◽  
...  

ObjectiveCushing's syndrome (CS) is associated with high cardiovascular risk. White matter lesions (WML) are common on brain magnetic resonance imaging (MRI) in patients with increased cardiovascular risk.AimTo investigate the relationship between cardiovascular risk, WML, neuropsychological performance and brain volume in CS.Design/methodsThirty-eight patients with CS (23 in remission, 15 active) and 38 controls sex-, age- and education-level matched underwent a neuropsychological and clinical evaluation, blood and urine tests and 3Tesla brain MRI. WML were analysed with the Scheltens scale. Ten-year cardiovascular risk (10CVR) and vascular age (VA) were calculated according to an algorithm based on the Framingham heart study.ResultsPatients in remission had a higher degree of WML than controls and active patients (P<0.001 andP=0.008 respectively), which did not correlate with cognitive performance in any group. WML severity positively correlated with diastolic blood pressure (r=0.659,P=0.001) and duration of hypertension (r=0.478,P=0.021) in patients in remission. Both patient groups (active and in remission) had higher 10CVR (P=0.030,P=0.041) and VA than controls (P=0.013,P=0.039). Neither the 10CVR nor the VA correlated with WML, although both negatively correlated with cognitive function and brain volume in patients in remission (P<0.05). Total brain volume and grey matter volume in both CS patient groups were reduced compared to controls (total volume: activeP=0.006, in remissionP=0.012; grey matter: activeP=0.001, in remissionP=0.003), with no differences in white matter volume between groups.ConclusionsPatients in remission of Cushing's syndrome (but not active patients) have more severe white matter lesions than controls, positively correlated with diastolic pressure and duration of hypertension. Ten-year cardiovascular risk and vascular age appear to be negatively correlated with the cognitive function and brain volume in patients in remission of Cushing's syndrome.

Author(s):  
Mina Rizkallah ◽  
Mohamed Hefida ◽  
Mohamed Khalil ◽  
Rasha Mahmoud Dawoud

Abstract Background Brain volume loss (BVL) is widespread in MS and occurs throughout the disease course at a rate considerably greater than in the general population. In MS, brain volume correlates with and predicts future disability, making BVL a relevant measure of diffuse CNS damage leading to clinical disease progression, as well as serving as a useful outcome in evaluating MS therapies. The aim of our study was to evaluate the role of automated segmentation and quantification of deep grey matter structures and white matter lesions in Relapsing Remitting Multiple Sclerosis patients using MR images and to correlate the volumetric results with different degrees of disability based on expanded disability status scale (EDSS) scores. Results All the patients in our study showed relative atrophy of the thalamus and the putamen bilaterally when compared with the normal control group. Statistical analysis was significant for the thalamus and the putamen atrophy (P value < 0.05). On the other hand, statistical analysis was not significant for the caudate and the hippocampus (P value > 0.05); there was a significant positive correlation between the white matter lesions volume and EDSS scores (correlation coefficient of 0.7505). On the other hand, there was a significant negative correlation between the thalamus and putamen volumes, and EDSS scores (correlation coefficients < − 0.9), while the volumes of the caudate and the hippocampus had a very weak and non-significant correlation with the EDSS scores (correlation coefficients > − 0.35). Conclusions The automated segmentation and quantification tools have a great role in the assessment of brain structural changes in RRMS patients, and that it became essential to integrate these tools in the daily medical practice for the great value they add to the current evaluation measures.


1994 ◽  
Vol 35 (2) ◽  
pp. 117-122 ◽  
Author(s):  
Pernille Christiansen ◽  
H. B. W. Larsson ◽  
C. Thomsen ◽  
S. B. Wieslander ◽  
O. Henriksen

1994 ◽  
Vol 35 (2) ◽  
pp. 117-122 ◽  
Author(s):  
Pernille Christiansen ◽  
H. B. W. Larsson ◽  
C. Thomsen ◽  
S. B. Wieslander ◽  
O. Henriksen

Pituitary ◽  
2004 ◽  
Vol 7 (4) ◽  
pp. 253-256 ◽  
Author(s):  
Giorgio Arnaldi ◽  
Tatiana Mancini ◽  
Barbara Polenta ◽  
Marco Boscaro

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 2706-2706 ◽  
Author(s):  
Adam M Bush ◽  
Matthew Borzage ◽  
Soyoung Choi ◽  
Thomas Coates ◽  
John C Wood

Abstract Introduction Stroke occurs when cerebral blood flow (CBF) is inadequate to the metabolic needs of the brain. In sickle cell disease (SCD) stroke is common, however accurate quantification of basal cerebral oxygen consumption (CMRO2) has not been performed. Early PET studies suggested CMRO2 was decreased in SCD patients, but these studies lacked data regarding brain volume and gray-white matter fractions; lower CMRO2 may simply have reflected brain loss from prior stroke. In contrast, NIRS and global resting energy expenditure studies have demonstrated elevated peripheral metabolic rate in SCD patients at baseline, with further increases during painful crisis. In those studies, oxygen consumption was correlated with markers of inflammation, particularly white blood cell count, consistent with metabolic consequences of neutrophil activation. Characterizing CMRO2 in SCD provides insight into better prevention and management of stroke in the SCD population. Accordingly, we measured CBF and cerebral venous saturation (SvO2) via a recently developed magnetic resonance imaging (MRI) technique: T2 Relaxation Under Spin Tagging (TRUST). Using the Fick Principle, this allowed for quantification of oxygen extraction fraction (OEF) and the first quantitative measurements of CMRO2in SCD patients. Methods All patients were recruited with informed consent or assent and this study was approved by the CHLA IRB. Exclusion criteria included pregnancy, previous stroke, acute chest or pain crisis hospitalization within one month. Fifteen patients with SCD and 12 healthy ethnicity matched controls (CTL) were studied. Arterial oxygen saturation (SaO2) was measured via peripheral pulse oximetery. TRUST was used to measured T2 relaxation of blood within the sagittal sinus; T2 relaxation was converted to SvO2 using established calibration curves. OEF represented the difference of SaO2 andSvO2 .Phase Contrast (PC) of the carotid and vertebral arteries was used to measure global CBF. CMRO2 was calculated as the product of CBF and OEF. High resolution, 3D, T1 weighted images were used for grey-white segmentation and brain volume calculations using BrainSuiteñ software. Relative grey matter CMRO2 and white matterCMRO2 were estimated by assuming that (gm) CMRO2 was three-fold higher than (wm) CRMRO2. Complete blood count, cell free hemoglobin, LDH, and hemoglobin electrophoresis were measured at the study visit. Results Table 1 summarizes the results. To compensate for their chronic anemia, SCD patients had 67% greater CBF than control subjects, producing a normal SvO2 and OEF. Oxygen delivery also trended higher than for controls leading to higher total CMRO2 in the SCD patients. CMRO2 increases remained significant even after correction for differences in grey and white matter volumes. We found no correlation between WBC and CMRO2when tested by population. Discussion Our study demonstrates elevated cerebral metabolism in SCD, mirroring increases in global resting energy expenditure and peripheral metabolic rate described by other groups. The etiology of the increased CMRO2 is unknown but could reflect neuroinflammation or energy demands from chronic injury/repair. Regardless, our observation at least partially explains the increase of CBF beyond predicted by anemia alone. By excluding patients with overt stroke and by correcting for differences in brain volume and composition, our results are the first CMRO2 measurements in SCD that are unconfounded by brain volume loss. Given the age differences between our study and control populations, we cannot exclude developmental differences in CMRO2 among patients and controls. However, in general, CMRO2 increases with age, which would tend to lessen rather than increase the CMRO2 differences seen in our study. Table 1 Controls SCD p Age (years) 37.2 + 2.8 20.3 + 2.6 <0.05 Sex 9 F, 3 M 9 F, 6 M ns Hemoglobin (g/dl) 13.5 + 1.2 9.6 + 1.1 <0.05 WBC (103/uL) 6.1 + 2.2 11.0 + 4.2 <0.05 Sa O2 (%) 95.7 + 1.5 94.1 + 4.1 ns Sv O2 (%) 65.6 + 6.7 63.6 + 8.4 ns OEF 30.0 + 7.1 32.3 + 7.4 ns CBF (ml/100g/min) 70.0 + 4.6 116.8 + 19.1 <0.05 Cerebral O2 delivery (umol O2/100g/min) 193.0 + 44.9 239.0 + 35.7 ns Grey Matter Mass (ml) 499.6 + 72.0 528.4 + 58.1 ns White Matter Mass (ml) 444.6 + 58.2 422.9 + 59.5 ns CMRO2 (umol O2/100g/min) 193.1 + 44.9 239.0 + 35.7 <0.05 (gm)CMRO2 250.7 + 58.7 292.7 + 39.7 <0.05 (wm) CMRO2 175.5 + 41.1 204.9 + 27.8 <0.05 Disclosures Coates: Novartis: Honoraria, Speakers Bureau; Apo Pharma: Consultancy, Honoraria; Acceleron: Consultancy, Honoraria; SHire: Consultancy, Honoraria.


Neurology ◽  
2004 ◽  
Vol 63 (10) ◽  
pp. 1892-1897 ◽  
Author(s):  
R. M. Wiseman ◽  
B. K. Saxby ◽  
E. J. Burton ◽  
R. Barber ◽  
G. A. Ford ◽  
...  

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