scholarly journals Ethnic differences in cognitive function in systemic lupus erythematosus

1999 ◽  
Vol 14 (8) ◽  
pp. 712
Author(s):  
G Navarrete
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Cognitive Function ◽  
Ethnic Differences ◽  
Lupus Erythematosus ◽  
Systemic Lupus

scholarly journals Correlation Between Cognitive Function with Disease Activity of Systemic Lupus Erythematosus Patients in Dr. Hasan Sadikin Hospital Bandung: An Analytical Cross-Sectional Study

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Aep Saepudin ◽  
Paulus Anam Ong ◽  
Syarief Hidayat ◽  
Andri Reza Rahmadi ◽  
Laniyati Hamijoyo
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Cognitive Function ◽  
Disease Activity ◽  
Cognitive Dysfunction ◽  
Lupus Erythematosus ◽  
Cross Sectional Study ◽  
Median Score ◽  
Sectional Study ◽  
Systemic Lupus ◽  
Cross Sectional

Background: Cognitive dysfunction was found in 55-80% Neuropsychiatry Systemic Lupus Erythematosus (NPSLE) patients. Serious concern from clinicans was needed as its impact to patient’s quality of life. Disease activity is expected to be affecting patient’s cognitive function. Previous studies regarding correlation between disease activity and cognitive dysfunction showed various results. This study aimed to evaluate the correlation between disease activity and cognitive function in SLE patients.Methods: This study is an analytical cross-sectional study. Subjects were SLE patients at the rheumatology clinic of Dr. Hasan Sadikin Hospital Bandung during June-August 2017. Subject’s evaluations included disease activity assessment using SLE disease activity index-2K (SLEDAI-2K) and cognitive function assessment using MoCA-Ina test. Data were analyzed by using Spearman Rank correlation test. Results: Mean age of the subjects was 31 ± 8 years old, most of them were senior high school graduates (65.8 %) and median length of study was 12 years. Subject’s median duration of illness was 44 months. Their MoCA-Ina median score was 25, while SLEDAI-2K median score was 6. Cognitive dysfunctions were found in more than half of subjects (52.63%), which memory domain (78.95%) was most frequently impaired. Most of subjects were patients with active SLE (63.2%). Correlation test showed there was no correlation between SLEDAI-2K score and MoCA-Ina score (rs=0.023, p=0.445).Conclusion: There was no correlation between disease activity (SLEDAI-2K score) and cognitive function (MoCA-Ina score). Keywords: Cognitive dysfunction, MoCA-Ina, Systemic lupus erythematosus, SLEDAI-2K

scholarly journals Cognitive function, disease burden and the structural connectome in systemic lupus erythematosus

Lupus ◽  
2018 ◽  
Vol 27 (8) ◽  
pp. 1329-1337 ◽  
Author(s):  
S J Wiseman ◽  
M E Bastin ◽  
E N Amft ◽  
J F F Belch ◽  
S H Ralston ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Cognitive Function ◽  
Lupus Erythematosus ◽  
Cognitive Abilities ◽  
Structural Connectivity ◽  
Principal Component ◽  
Clustering Coefficient ◽  
Screening Tests ◽  
Systemic Lupus ◽  
Network Metrics

Objective To investigate brain structural connectivity in relation to cognitive abilities and systemic damage in systemic lupus erythematosus (SLE). Methods Structural and diffusion MRI data were acquired from 47 patients with SLE. Brains were segmented into 85 cortical and subcortical regions and combined with whole brain tractography to generate structural connectomes using graph theory. Global cognitive abilities were assessed using a composite variable g, derived from the first principal component of three common clinical screening tests of neurological function. SLE damage ( LD) was measured using a composite of a validated SLE damage score and disease duration. Relationships between network connectivity metrics, cognitive ability and systemic damage were investigated. Hub nodes were identified. Multiple linear regression, adjusting for covariates, was employed to model the outcomes g and LD as a function of network metrics. Results The network measures of density (standardised ß = 0.266, p = 0.025) and strength (standardised ß = 0.317, p = 0.022) were independently related to cognitive abilities. Strength (standardised ß = –0.330, p = 0.048), mean shortest path length (standardised ß = 0.401, p = 0.020), global efficiency (standardised ß = –0.355, p = 0.041) and clustering coefficient (standardised ß = –0.378, p = 0.030) were independently related to systemic damage. Network metrics were not related to current disease activity. Conclusion Better cognitive abilities and more SLE damage are related to brain topological network properties in this sample of SLE patients, even those without neuropsychiatric involvement and after correcting for important covariates. These data show that connectomics might be useful for understanding and monitoring cognitive function and white matter damage in SLE.

Autoantibodies in Pediatric Systemic Lupus Erythematosus: Ethnic Grouping, Cluster Analysis, and Clinical Correlations

2009 ◽  
Vol 36 (2) ◽  
pp. 416-421 ◽  
Author(s):  
ROMAN JURENCÁK ◽  
MARVIN FRITZLER ◽  
PASCAL TYRRELL ◽  
LINDA HIRAKI ◽  
SUSANNE BENSELER ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Cluster Analysis ◽  
Ethnic Groups ◽  
Ethnic Differences ◽  
Lupus Erythematosus ◽  
Systemic Lupus ◽  
Pediatric Systemic Lupus Erythematosus ◽  
Mild Disease ◽  
Cluster 2 ◽  
Autoantibody Profiles

Objective.(1) To evaluate the spectrum of serum autoantibodies in pediatric-onset systemic lupus erythematosus (pSLE) with a focus on ethnic differences; (2) using cluster analysis, to identify patients with similar autoantibody patterns and to determine their clinical associations.Methods.A single-center cohort study of all patients with newly diagnosed pSLE seen over an 8-year period was performed. Ethnicity, clinical, and serological data were prospectively collected from 156/169 patients (92%). The frequencies of 10 selected autoantibodies among ethnic groups were compared. Cluster analysis identified groups of patients with similar autoantibody profiles. Associations of these groups with clinical and laboratory features of pSLE were examined.Results.Among our 5 ethnic groups, there were differences only in the prevalence of anti-U1RNP and anti-Sm antibodies, which occurred more frequently in non-Caucasian patients (p < 0.0001, p < 0.01, respectively). Cluster analysis revealed 3 autoantibody clusters. Cluster 1 consisted of anti-dsDNA antibodies. Cluster 2 consisted of anti-dsDNA, antichromatin, antiribosomal P, anti-U1RNP, anti-Sm, anti-Ro and anti-La autoantibody. Cluster 3 consisted of anti-dsDNA, anti-RNP, and anti-Sm autoantibody. The highest proportion of Caucasians was in cluster 1 (p < 0.05), which was characterized by a mild disease with infrequent major organ involvement compared to cluster 2, which had the highest frequency of nephritis, renal failure, serositis, and hemolytic anemia, or cluster 3, which was characterized by frequent neuropsychiatric disease and nephritis.Conclusion.We observed ethnic differences in autoantibody profiles in pSLE. Autoantibodies tended to cluster together and these clusters were associated with different clinical courses.

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