Patricia Vega-Fernandez1, Shana Vanderburgh White2, Frank Zelko3, Natasha M Ruth4, Deborah M Levy5, Eyal Muscal6, Marisa S Klein-Gitelman3, Adam M Huber7, Lori B Tucker8, Tresa Roebuck-Spencer9, Jun Ying2, Hermine I Brunner1. 1. Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio. 2. University of Cincinnati, Cincinnati, Ohio. 3. Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois. 4. Medical University of South Carolina, Charleston. 5. The Hospital for Sick Children, Toronto, Ontario, Canada. 6. Texas Children's Hospital and Baylor University College of Medicine, Houston, Texas. 7. IWK Health Centre, Halifax, Nova Scotia, Canada. 8. British Columbia Children's Hospital, Vancouver, British Columbia. 9. University of Oklahoma.
Abstract
OBJECTIVE: To 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. METHODS: Patients (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. RESULTS: PedANAM-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. CONCLUSION: Based 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.
OBJECTIVE: To 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. METHODS:Patients (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. RESULTS:PedANAM-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. CONCLUSION: Based 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.
Authors: Gail S Ross; Frank Zelko; Marisa Klein-Gitelman; Deborah M Levy; Eyal Muscal; Laura E Schanberg; Kelly Anthony; Hermine I Brunner Journal: Arthritis Care Res (Hoboken) Date: 2010-07 Impact factor: 4.794
Authors: Jin-Shei Lai; Frank Zelko; Zeeshan Butt; David Cella; Mark W Kieran; Kevin R Krull; Susan Magasi; Stewart Goldman Journal: Childs Nerv Syst Date: 2010-07-23 Impact factor: 1.475
Authors: S Janwityanujit; K Totemchokchyakarn; O Verasertniyom; M Vanichapuntu; M Vatanasuk Journal: Asian Pac J Allergy Immunol Date: 1995-12 Impact factor: 2.310
Authors: Ashwaq AlE'ed; Patricia Vega-Fernandez; Eyal Muscal; Claas H Hinze; Lori B Tucker; Simone Appenzeller; Brigitte Bader-Meunier; Johannes Roth; Vicenç Torrente-Segarra; Marisa S Klein-Gitelman; Deborah M Levy; Tresa Roebuck-Spencer; Hermine I Brunner Journal: Arthritis Care Res (Hoboken) Date: 2017-08-29 Impact factor: 4.794