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Internal medicine journal · Sep 2024
Predictive accuracy of the ASIG algorithm in a prospective systemic sclerosis cohort undergoing annual screening for pulmonary arterial hypertension.
- Zoe Brown, Kathleen Morrisroe, Dylan Hansen, Wendy Stevens, Susanna Proudman, Gim G Teng, Andrea Low, and Mandana Nikpour.
- Department of Medicine, The University of Melbourne at St Vincent's Hospital, Melbourne, Victoria, Australia.
- Intern Med J. 2024 Sep 1; 54 (9): 156115661561-1566.
AbstractThe 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.© 2024 The Author(s). Internal Medicine Journal published by John Wiley & Sons Australia, Ltd on behalf of Royal Australasian College of Physicians.
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