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Pediatric Myocarditis Protocol: An Algorithm for Early Identification and Management with Retrospective Analysis for Validation.
Howard, Ashley; Hasan, Ali; Brownlee, John; Mehmood, Noormah; Ali, Mir; Mehta, Shivani; Fergie, Jamie.
Afiliação
  • Howard A; Yale School of Medicine, PO Box 208064, New Haven, CT, 60520, USA.
  • Hasan A; Driscoll Children's Hospital, 3533 South Alameda street, Corpus Christi, TX, 78411, USA. Hasanali2908@gmail.com.
  • Brownlee J; Driscoll Children's Hospital, 3533 South Alameda street, Corpus Christi, TX, 78411, USA.
  • Mehmood N; Driscoll Children's Hospital, 3533 South Alameda street, Corpus Christi, TX, 78411, USA.
  • Ali M; Texas A&M College of Medicine, Fort Worth, TX, USA.
  • Mehta S; Texas A&M College of Medicine, Fort Worth, TX, USA.
  • Fergie J; Driscoll Children's Hospital, 3533 South Alameda street, Corpus Christi, TX, 78411, USA.
Pediatr Cardiol ; 41(2): 316-326, 2020 Feb.
Article em En | MEDLINE | ID: mdl-31786619
ABSTRACT
Myocarditis is an inflammatory disease of the myocardium with numerous different etiologies, the vast majority of which are infectious in origin. Patients afflicted with myocarditis can have variable presentations from flu-like symptoms to cardiogenic shock and sudden death, thus making the diagnosis difficult. The purpose of this study is the development of an algorithm for early identification and management of myocarditis based on a review of the published data and available literature. To validate the efficacy of this algorithm, a retrospective chart review of all the patient's presenting symptoms and diagnostic workup, treatment, and clinical progression was performed and applied to the algorithm to investigate whether they could be diagnosed at the time of presentation. Retrospective chart review was performed and all the patient's diagnosed with myocarditis between the years 2009 and 2017 were included in the study. 12 patients were identified on chart review and the algorithm was found to be 100% accurate at identifying all myocarditis patients at presentation by using the symptom identification.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Miocardite Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male / Newborn Idioma: En Revista: Pediatr Cardiol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Miocardite Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male / Newborn Idioma: En Revista: Pediatr Cardiol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos