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Predictive accuracy of the ASIG algorithm in a prospective systemic sclerosis cohort undergoing annual screening for pulmonary arterial hypertension.
Brown, Zoe; Morrisroe, Kathleen; Hansen, Dylan; Stevens, Wendy; Proudman, Susanna; Teng, Gim G; Low, Andrea; Nikpour, Mandana.
Afiliación
  • Brown Z; Department of Medicine, The University of Melbourne at St Vincent's Hospital, Melbourne, Victoria, Australia.
  • Morrisroe K; Department of Rheumatology, St Vincent's Hospital (Melbourne), Melbourne, Victoria, Australia.
  • Hansen D; Department of Medicine, The University of Melbourne at St Vincent's Hospital, Melbourne, Victoria, Australia.
  • Stevens W; Department of Rheumatology, St Vincent's Hospital (Melbourne), Melbourne, Victoria, Australia.
  • Proudman S; Department of Rheumatology, St Vincent's Hospital (Melbourne), Melbourne, Victoria, Australia.
  • Teng GG; Department of Rheumatology, St Vincent's Hospital (Melbourne), Melbourne, Victoria, Australia.
  • Low A; Rheumatology Unit, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
  • Nikpour M; Discipline of Medicine, University of Adelaide, Adelaide, South Australia, Australia.
Intern Med J ; 2024 Aug 13.
Article en En | MEDLINE | ID: mdl-39135500
ABSTRACT
The Australian Scleroderma Interest Group (ASIG) algorithm for screening pulmonary arterial hypertension (PAH) in systemic sclerosis (SSc) requires only respiratory function tests and serum N-terminal pro-brain natriuretic peptide as first-tier tests, and is recommended in international guidelines. In this communication, we present the findings of the application of the ASIG screening algorithm to a Singaporean cohort undergoing prospective annual screening for PAH, which shows a high negative predictive value. The ASIG algorithm may offer an alternative to more complex and costly SSc-PAH screening algorithms.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Intern Med J Asunto de la revista: MEDICINA INTERNA Año: 2024 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Intern Med J Asunto de la revista: MEDICINA INTERNA Año: 2024 Tipo del documento: Article País de afiliación: Australia