Literature DB >> 29862876

Validating an Algorithm to Identify Patients With Infantile Spasms Using Medical Claims.

Ling Wang1, Shannon Yarosz2, Hosain Aghamoosa3, Zachary Grinspan4, Anup D Patel2.   

Abstract

An infantile spasm is a brief seizure type that is characteristic of West syndrome. Many infants present with infantile spasms between 3-12 months of age. Early diagnosis and proper treatment of patients with infantile spasms can lead to improved clinical outcomes. However, proper identification of these patients using claims data with validation has not been performed. The authors developed and tested several algorithms using claims data. Claims data consisted of using International Classification of Disease (ICD), Current Procedural Terminology (CPT), and prescription codes. Access to the claims database was from an accountable care organization. The algorithm using the specific ICD code for infantile spasms only performed the best with high sensitivity and specificity. This algorithm can be used to perform additional research in claims data for patients with infantile spasms.

Entities:  

Keywords:  ACTH; epidemiology; epilepsy

Mesh:

Year:  2018        PMID: 29862876     DOI: 10.1177/0883073818774960

Source DB:  PubMed          Journal:  J Child Neurol        ISSN: 0883-0738            Impact factor:   1.987


  3 in total

1.  Trends and Costs Associated With the Diagnosis and Treatment of Infantile Spasms: A 10-Year Multicenter Retrospective Review.

Authors:  Mindl M Weingarten; Jon A Cokley; Brady Moffett; Shannon DiCarlo; Sunita N Misra
Journal:  J Pediatr Pharmacol Ther       Date:  2021-12-22

Review 2.  West syndrome: a comprehensive review.

Authors:  Piero Pavone; Agata Polizzi; Simona Domenica Marino; Giovanni Corsello; Raffaele Falsaperla; Silvia Marino; Martino Ruggieri
Journal:  Neurol Sci       Date:  2020-08-22       Impact factor: 3.307

3.  Long-Term Health Outcomes of Infantile Spasms Following Prednisolone vs. Adrenocorticotropic Hormone Treatment Characterized Using Phenome-Wide Association Study.

Authors:  Monika Baker; Clint C Mason; Jacob Wilkes; David Sant; Matthew Sweney; Joshua L Bonkowsky
Journal:  Front Neurol       Date:  2022-04-13       Impact factor: 4.003

  3 in total

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