Laurie M Douglass1, Karl Kuban2, Daniel Tarquinio3, Leah Schraga4, Rinat Jonas2, Timothy Heeren5, William A DeBassio2, Carl E Stafstrom6, Ryan John Heinrick7, Chantal Ferguson4, Lauren Blumberg4, Vanessa Wong4. 1. Division of Pediatric Neurology, Boston Medical Center, Boston, Massachusetts; Boston University School of Medicine, Boston, Massachusetts. Electronic address: laurie.douglass@bmc.org. 2. Division of Pediatric Neurology, Boston Medical Center, Boston, Massachusetts; Boston University School of Medicine, Boston, Massachusetts. 3. Emory University, Atlanta, Georgia. 4. Division of Pediatric Neurology, Boston Medical Center, Boston, Massachusetts. 5. Boston University School of Public Health, Boston, Massachusetts. 6. Division of Pediatric Neurology, Johns Hopkins Hospital, Baltimore, Maryland. 7. Boston University School of Medicine, Boston, Massachusetts.
Abstract
BACKGROUND: We developed a seizure questionnaire that could be administered by a trained research assistant in a two-step process, approximating the clinical diagnostic process of a pediatric epileptologist. This questionnaire was designed to study seizure prevalence in a research population of 10-year-old children at risk for epilepsy. METHODS: English-speaking parents of children 6 months to 12 years old were recruited from the pediatric neurology clinics at Boston Medical Center and interviewed using a computerized questionnaire. An algorithm of parent responses rendered a 4-level ranking scale of seizure probability for events: (1) not likely, (2) indeterminate, (3) probable, (4) almost certain. Blinded to questionnaire results, pediatric neurologists served as the diagnostic gold standard, ranking each patient event using the same four-level scale based on clinical history and examination. RESULTS: The questionnaire was completed by 150 of 177 (84.7%) enrolled parents. Seizure prevalence among participants was 38.6%. The seizure questionnaire yielded a fitted receiver operating characteristic area of 0.93 (95% confidence interval [CI], 0.89-0.97). Based on optimal sensitivity and false-positive fraction, we dichotomized the questionnaire results as consistent with seizure (levels 3 and 4) or without seizure (levels 1 and 2). Overall, findings included a 91.4% sensitivity (95% CI, 84.2%-98.6%) and an 82.6% specificity (95% CI, 74.9%-90.4%). The positive predictive value was 76.8% (95% CI, 66.9%-86.8%) and the negative predictive value was 93.8% (95% CI, 88.6%-99.1%). CONCLUSIONS: This pediatric seizure questionnaire was both sensitive and specific for detecting clinically confirmed seizures. This tool may be useful to researchers and clinicians in screening large populations of children, decreasing the time and cost of added neurological assessments.
BACKGROUND: We developed a seizure questionnaire that could be administered by a trained research assistant in a two-step process, approximating the clinical diagnostic process of a pediatric epileptologist. This questionnaire was designed to study seizure prevalence in a research population of 10-year-old children at risk for epilepsy. METHODS: English-speaking parents of children 6 months to 12 years old were recruited from the pediatric neurology clinics at Boston Medical Center and interviewed using a computerized questionnaire. An algorithm of parent responses rendered a 4-level ranking scale of seizure probability for events: (1) not likely, (2) indeterminate, (3) probable, (4) almost certain. Blinded to questionnaire results, pediatric neurologists served as the diagnostic gold standard, ranking each patient event using the same four-level scale based on clinical history and examination. RESULTS: The questionnaire was completed by 150 of 177 (84.7%) enrolled parents. Seizure prevalence among participants was 38.6%. The seizure questionnaire yielded a fitted receiver operating characteristic area of 0.93 (95% confidence interval [CI], 0.89-0.97). Based on optimal sensitivity and false-positive fraction, we dichotomized the questionnaire results as consistent with seizure (levels 3 and 4) or without seizure (levels 1 and 2). Overall, findings included a 91.4% sensitivity (95% CI, 84.2%-98.6%) and an 82.6% specificity (95% CI, 74.9%-90.4%). The positive predictive value was 76.8% (95% CI, 66.9%-86.8%) and the negative predictive value was 93.8% (95% CI, 88.6%-99.1%). CONCLUSIONS: This pediatric seizure questionnaire was both sensitive and specific for detecting clinically confirmed seizures. This tool may be useful to researchers and clinicians in screening large populations of children, decreasing the time and cost of added neurological assessments.
Authors: Rachel G Hirschberger; Karl C K Kuban; Thomas M O'Shea; Robert M Joseph; Tim Heeren; Laurie M Douglass; Carl E Stafstrom; Hernan Jara; Jean A Frazier; Deborah Hirtz; Julie V Rollins; Nigel Paneth Journal: Pediatr Neurol Date: 2017-11-13 Impact factor: 3.372
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Authors: Heather Campbell; Jennifer Check; Karl C K Kuban; Alan Leviton; Robert M Joseph; Jean A Frazier; Laurie M Douglass; Kyle Roell; Elizabeth N Allred; Lynn Ansley Fordham; Stephen R Hooper; Hernan Jara; Nigel Paneth; Irina Mokrova; Hongyu Ru; Hudson P Santos; Rebecca C Fry; T Michael O'Shea Journal: J Pediatr Date: 2021-06-04 Impact factor: 6.314
Authors: Jeanne Bertolli; Jacob Elijah Attell; Charles Rose; Cynthia A Moore; Flávio Melo; Jennifer Erin Staples; Kim Kotzky; Nevin Krishna; Ashley Satterfield-Nash; Isabela Ornelas Pereira; André Pessoa; Donna Camille Smith; Ana Carolina Faria E Silva Santelli; Coleen A Boyle; Georgina Peacock Journal: Am J Trop Med Hyg Date: 2020-05 Impact factor: 2.345