Initial validation of the pediatric automated neuropsychological assessment metrics for CHILDHOOD-ONSET systemic lupus erythematosus

2007 ◽  
Vol 57 (7) ◽  
pp. 1174-1182 ◽  
Author(s):  
Hermine I. Brunner ◽  
Natasha M. Ruth ◽  
April German ◽  
Shannen Nelson ◽  
Murray H. Passo ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Neuropsychological Assessment ◽  
Lupus Erythematosus ◽  
Childhood Onset ◽  
Systemic Lupus ◽  
Initial Validation ◽  
Automated Neuropsychological Assessment Metrics ◽  
Assessment Metrics ◽  
Onset Systemic Lupus Erythematosus

scholarly journals Validation of the automated neuropsychological assessment metrics for assessing cognitive impairment in systemic lupus erythematosus

Lupus ◽  
2021 ◽  
pp. 096120332110625
Author(s):  
Kimberley Yuen ◽  
Dorcas Beaton ◽  
Kathleen Bingham ◽  
Patricia Katz ◽  
Jiandong Su ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Cognitive Impairment ◽  
Decision Tree ◽  
Neuropsychological Assessment ◽  
Lupus Erythematosus ◽  
Systemic Lupus ◽  
Cart Analysis ◽  
Composite Indices ◽  
Automated Neuropsychological Assessment Metrics ◽  
Assessment Metrics

Objective We previously demonstrated the utility of the Automated Neuropsychological Assessment Metrics (ANAM) for screening cognitive impairment (CI) in patients with systemic lupus erythematosus (SLE) and developed composite indices for interpreting ANAM results. Our objectives here were to provide further support for the ANAM’s concurrent criterion validity against the American College of Rheumatology neuropsychological battery (ACR-NB), identify the most discriminatory subtests and scores of the ANAM for predicting CI, and provide a new approach to interpret ANAM results using Classification and Regression Tree (CART) analysis. Methods 300 adult SLE patients completed an adapted ACR-NB and ANAM on the same day. As per objectives, six models were built using combinations of ANAM subtests and scores and submitted to CART analysis. Area under the curve (AUC) was calculated to evaluate the ANAM’s criterion validity compared to the adapted ACR-NB; the most discriminatory ANAM subtests and scores in each model were selected, and performance of models with the highest AUCs were compared to our previous composite indices; decision trees were generated for models with the highest AUCs. Results Two models had excellent AUCs of 86 and 89%. Eight most discriminatory ANAM subtests and scores were identified. Both models demonstrated higher AUCs against our previous composite indices. An adapted decision tree was created to simplify the interpretation of ANAM results. Conclusion We provide further validity evidence for the ANAM as a valid CI screening tool in SLE. The decision tree improves interpretation of ANAM results, enhancing clinical utility.

scholarly journals An Update on the Management of Childhood-Onset Systemic Lupus Erythematosus

2021 ◽  
Author(s):  
Vitor Cavalcanti Trindade ◽  
Magda Carneiro-Sampaio ◽  
Eloisa Bonfa ◽  
Clovis Artur Silva
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Lupus Erythematosus ◽  
Childhood Onset ◽  
Systemic Lupus ◽  
Onset Systemic Lupus Erythematosus
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