Cognitive Performance Scores for the Pediatric Automated Neuropsychological Assessment Metrics in Childhood-Onset Systemic Lupus Erythematosus

被引:19
作者
Vega-Fernandez, Patricia [1 ]
White, Shana Vanderburgh [2 ]
Zelko, Frank [3 ]
Ruth, Natasha M. [4 ]
Levy, Deborah M. [5 ]
Muscal, Eyal [6 ,7 ]
Klein-Gitelman, Marisa S. [3 ]
Huber, Adam M. [8 ]
Tucker, Lori B. [9 ]
Roebuck-Spencer, Tresa [10 ]
Ying, Jun [2 ]
Brunner, Hermine I. [1 ]
机构
[1] Cincinnati Childrens Hosp Med Ctr, Cincinnati, OH 45229 USA
[2] Univ Cincinnati, Cincinnati, OH USA
[3] Ann & Robert H Lurie Childrens Hosp Chicago, Chicago, IL USA
[4] Med Univ S Carolina, Charleston, SC USA
[5] Hosp Sick Children, Toronto, ON M5G 1X8, Canada
[6] Texas Childrens Hosp, Houston, TX 77030 USA
[7] Baylor Univ, Coll Med, Houston, TX 77030 USA
[8] IWK Hlth Ctr, Halifax, NS, Canada
[9] British Columbia Childrens Hosp, Vancouver, BC, Canada
[10] Univ Oklahoma, Norman, OK 73019 USA
关键词
CLINICAL-FEATURES; ADULT-ONSET; PARENT; DISEASE; MANIFESTATIONS; CLASSIFICATION; VALIDATION; CHILDREN; OUTCOMES; CANCER;
D O I
10.1002/acr.22571
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
ObjectiveTo develop and initially validate a global cognitive performance score (CPS) for the Pediatric Automated Neuropsychological Assessment Metrics (PedANAM) to serve as a screening tool of cognition in childhood lupus. MethodsPatients (n=166) completed the 9 subtests of the PedANAM battery, each of which provides 3 principal performance parameters (accuracy, mean reaction time for correct responses, and throughput). Cognitive ability was measured by formal neurocognitive testing or estimated by the Pediatric Perceived Cognitive Function Questionnaire-43 to determine the presence or absence of neurocognitive dysfunction (NCD). A subset of the data was used to develop 4 candidate PedANAM-CPS indices with supervised or unsupervised statistical approaches: PedANAM-CPSUWA, i.e., unweighted averages of the accuracy scores of all PedANAM subtests; PedANAM-CPSPCA, i.e., accuracy scores of all PedANAM subtests weighted through principal components analysis; PedANAM-CPSlogit, i.e., algorithm derived from logistic models to estimate NCD status based on the accuracy scores of all of the PedANAM subtests; and PedANAM-CPSmultiscore, i.e., algorithm derived from logistic models to estimate NCD status based on select PedANAM performance parameters. PedANAM-CPS candidates were validated using the remaining data. ResultsPedANAM-CPS indices were moderately correlated with each other (|r|>0.65). All of the PedANAM-CPS indices discriminated children by NCD status across data sets (P < 0.036). The PedANAM-CPSmultiscore had the highest area under the receiver operating characteristic curve (AUC) across all data sets for identifying NCD status (AUC >0.74), followed by the PedANAM-CPSlogit, the PedANAM-CPSPCA, and the PedANAM-CPSUWA, respectively. ConclusionBased on preliminary validation and considering ease of use, the PedANAM-CPSmultiscore and the PedANAM-CPSPCA appear to be best suited as global measures of PedANAM performance.
引用
收藏
页码:1119 / 1127
页数:9
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