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1. Predictive accuracy of the ASIG algorithm in a prospective systemic sclerosis cohort undergoing annual screening for pulmonary arterial hypertension.

Author

Brown, Zoe, Morrisroe, Kathleen, Hansen, Dylan, Stevens, Wendy, Proudman, Susanna, Teng, Gim G., Low, Andrea, and Nikpour, Mandana

Subjects
PREDICTIVE tests, PULMONARY function tests, DESCRIPTIVE statistics, PEPTIDE hormones, LONGITUDINAL method, SYSTEMIC scleroderma, PULMONARY arterial hypertension, MEDICAL screening, ALGORITHMS, SENSITIVITY & specificity (Statistics), DISEASE complications
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. [ABSTRACT FROM AUTHOR]

Published
2024
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