<p>People living with a rare disease can wait months to years for a confirmed diagnosis after symptom onset, mainly due to low prevalence, lack of awareness of primary healthcare professionals, heterogeneous clinical presentation and/or peculiar inheritance patterns. This consensus paper aims to establish a set of guidelines to assist healthcare professionals—also without a specialized expertise in rare diseases—in optimizing the diagnostic pathway for these conditions. During Phase 1 of a real-time Delphi study, ten experts defined 26 statements addressing the identification of clinical features (“red flags”, domain 1) and non-clinical tools/conditions (“clinical gateways”, domain 2) that could trigger/support the diagnostic suspect of a rare disease. During Phase 2, the survey was extended to a multidisciplinary panel of 55 experts to reach a consensus on statements. Consensus was reached on 22 out of 26 statements across the two domains. Family history, clusters of birth defects, unusual presentations of common disease, neurodevelopmental delays or decline, and severe pathology emerged as key indicators to improve the identification and referral of cases of rare disease and should be integrated into primary care practices. Education, increased awareness in the community and use of technology are possible gateways to facilitate early diagnosis in rare disease.</p>

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Argo Delphi consensus statement on red flags and clinical gateways towards rare disease diagnosis

  • Giuseppe Limongelli,
  • Fabio De Iaco,
  • Marta Mosca,
  • Leandro Pecchia,
  • Gaetano Piccinocchi,
  • Luca Sangiorgi,
  • Maurizio Scarpa,
  • Davide Cafiero,
  • Lucia Politi,
  • Fabio Tedone,
  • Amalia Forte,
  • Martina Caiazza,
  • Chiara De Stasio,
  • Anna Fusco,
  • Barbara Morgillo,
  • Iris Scala,
  • Annalisa Scopinaro,
  • Paola Facchin,
  • Giuseppina Annichiarico,
  • Anna Annunziata,
  • Marco Ardigò,
  • Paolo A. Ascierto,
  • Simone Baldovino,
  • Rosa Bellomo,
  • Francesco Benedicenti,
  • Cecilia Berni,
  • Stefano Bianchi,
  • Alessandro Broccoli,
  • Paolo Calabrò,
  • Mauro Cancian,
  • Tiziana Corsetti,
  • Erica Daina,
  • Silvia Di Michele,
  • Alessandra Fabi,
  • Andrea Fiorillo,
  • Maria Galdo,
  • Loreto Gesualdo,
  • Maria Giuliano,
  • Lorenzo Maggi,
  • Giulia Motola,
  • Giancarlo Parenti,
  • Maria Piccione,
  • Anna Pichiecchio,
  • Roberto Poscia,
  • Angelo Ravelli,
  • Liliana Rizzo,
  • Dario Roccatello,
  • Elena Rossi,
  • Elisa Rozzi,
  • Margherita Ruoppolo,
  • Salvatore Savasta,
  • Cristina Scaletti,
  • Raffaele Scarpa,
  • Claudia Sgattoni,
  • Simona Sica,
  • Francesca Simonelli,
  • Patrizia Suppressa,
  • Giada Tortora,
  • Antonio Toscano,
  • Roberto Tozzi,
  • Massimo Triggiani,
  • Antonio Varone,
  • Roberta Veneziano

摘要

People living with a rare disease can wait months to years for a confirmed diagnosis after symptom onset, mainly due to low prevalence, lack of awareness of primary healthcare professionals, heterogeneous clinical presentation and/or peculiar inheritance patterns. This consensus paper aims to establish a set of guidelines to assist healthcare professionals—also without a specialized expertise in rare diseases—in optimizing the diagnostic pathway for these conditions. During Phase 1 of a real-time Delphi study, ten experts defined 26 statements addressing the identification of clinical features (“red flags”, domain 1) and non-clinical tools/conditions (“clinical gateways”, domain 2) that could trigger/support the diagnostic suspect of a rare disease. During Phase 2, the survey was extended to a multidisciplinary panel of 55 experts to reach a consensus on statements. Consensus was reached on 22 out of 26 statements across the two domains. Family history, clusters of birth defects, unusual presentations of common disease, neurodevelopmental delays or decline, and severe pathology emerged as key indicators to improve the identification and referral of cases of rare disease and should be integrated into primary care practices. Education, increased awareness in the community and use of technology are possible gateways to facilitate early diagnosis in rare disease.