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The existing <jats:styled-content style=\"fixed-case\">A<\/jats:styled-content>ustralian <jats:styled-content style=\"fixed-case\">S<\/jats:styled-content>cleroderma <jats:styled-content style=\"fixed-case\">I<\/jats:styled-content>nterest <jats:styled-content style=\"fixed-case\">G<\/jats:styled-content>roup algorithm (<jats:styled-content style=\"fixed-case\">ASIG<jats:sub>STANDARD<\/jats:sub><\/jats:styled-content>) is based on transthoracic echocardiography (<jats:styled-content style=\"fixed-case\">TTE<\/jats:styled-content>) and pulmonary function tests (<jats:styled-content style=\"fixed-case\">PFT<\/jats:styled-content>). Recently, <jats:styled-content style=\"fixed-case\">ASIG<\/jats:styled-content> has derived and validated a new screening algorithm (<jats:styled-content style=\"fixed-case\">ASIG<jats:sub>PROPOSED<\/jats:sub><\/jats:styled-content>) that incorporates <jats:styled-content style=\"fixed-case\">N<\/jats:styled-content>\u2010terminal pro\u2010<jats:styled-content style=\"fixed-case\">B<\/jats:styled-content>\u2010type natriuretic peptide level together with <jats:styled-content style=\"fixed-case\">PFT<\/jats:styled-content> in order to decrease reliance on <jats:styled-content style=\"fixed-case\">TTE<\/jats:styled-content>, which has some limitations. Right heart catheterisation (<jats:styled-content style=\"fixed-case\">RHC<\/jats:styled-content>) remains the gold standard for the diagnosis of <jats:styled-content style=\"fixed-case\">PAH<\/jats:styled-content> in patients who screen \u2018positive\u2019.<\/jats:p><\/jats:sec><jats:sec><jats:title>Aim<\/jats:title><jats:p>To compare the cost of <jats:styled-content style=\"fixed-case\">PAH<\/jats:styled-content> screening in <jats:styled-content style=\"fixed-case\">SSc<\/jats:styled-content> with <jats:styled-content style=\"fixed-case\">ASIGSTANDARD<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">ASIGPROPOSED<\/jats:styled-content> algorithms.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We applied both <jats:styled-content style=\"fixed-case\">ASIG<jats:sub>STANDARD<\/jats:sub><\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">ASIG<jats:sub>PROPOSED<\/jats:sub><\/jats:styled-content> algorithms to 643 screen\u2010na\u00efve <jats:styled-content style=\"fixed-case\">SSc<\/jats:styled-content> patients from the <jats:styled-content style=\"fixed-case\">A<\/jats:styled-content>ustralian <jats:styled-content style=\"fixed-case\">S<\/jats:styled-content>cleroderma <jats:styled-content style=\"fixed-case\">C<\/jats:styled-content>ohort <jats:styled-content style=\"fixed-case\">S<\/jats:styled-content>tudy (<jats:styled-content style=\"fixed-case\">ASCS<\/jats:styled-content>), assuming a <jats:styled-content style=\"fixed-case\">PAH<\/jats:styled-content> prevalence of 10%. We compared the costs of screening, the number of <jats:styled-content style=\"fixed-case\">TTE<\/jats:styled-content> required and both the total number of <jats:styled-content style=\"fixed-case\">RHC<\/jats:styled-content> required and the number of <jats:styled-content style=\"fixed-case\">RHC<\/jats:styled-content> needed to diagnose one case of <jats:styled-content style=\"fixed-case\">PAH<\/jats:styled-content>, and costs, according to each algorithm. We then extrapolated the costs to the estimated total <jats:styled-content style=\"fixed-case\">A<\/jats:styled-content>ustralian <jats:styled-content style=\"fixed-case\">SSc<\/jats:styled-content> population.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In screen\u2010na\u00efve patients from the <jats:styled-content style=\"fixed-case\">ASCS<\/jats:styled-content>, <jats:styled-content style=\"fixed-case\">ASIG<jats:sub>PROPOSED<\/jats:sub><\/jats:styled-content> resulted in 64% fewer <jats:styled-content style=\"fixed-case\">TTE<\/jats:styled-content> and 10% fewer <jats:styled-content style=\"fixed-case\">RHC<\/jats:styled-content> compared with <jats:styled-content style=\"fixed-case\">ASIG<jats:sub>STANDARD<\/jats:sub><\/jats:styled-content>, with $1936 (15%) saved for each case of <jats:styled-content style=\"fixed-case\">PAH<\/jats:styled-content> diagnosed. When the costs were extrapolated to the entire <jats:styled-content style=\"fixed-case\">A<\/jats:styled-content>ustralian <jats:styled-content style=\"fixed-case\">SSc<\/jats:styled-content> population, there was an estimated screening cost saving of $946\u2009000 per annum with <jats:styled-content style=\"fixed-case\">ASIG<jats:sub>PROPOSED<\/jats:sub><\/jats:styled-content>, with a cost saving of $851\u2009400 in each subsequent year of screening.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p><jats:styled-content style=\"fixed-case\">ASIG<jats:sub>PROPOSED<\/jats:sub><\/jats:styled-content> substantially reduces the number of <jats:styled-content style=\"fixed-case\">TTE<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">RHC<\/jats:styled-content> required and results in substantial cost savings in <jats:styled-content style=\"fixed-case\">SSc\u2010PAH<\/jats:styled-content> screening compared with <jats:styled-content style=\"fixed-case\">ASIG<jats:sub>STANDARD<\/jats:sub><\/jats:styled-content>.<\/jats:p><\/jats:sec>","DOI":"10.1111\/imj.12890","type":"journal-article","created":{"date-parts":[[2015,9,4]],"date-time":"2015-09-04T07:33:05Z","timestamp":1441351985000},"page":"1134-1140","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Cost savings with a new screening algorithm for pulmonary arterial hypertension in systemic sclerosis"],"prefix":"10.1111","volume":"45","author":[{"given":"A.","family":"Quinlivan","sequence":"first","affiliation":[{"name":"Department of Rheumatology St Vincent's Hospital Melbourne  Melbourne Victoria Australia"},{"name":"Department of Medicine at St Vincent's Hospital Melbourne The University of Melbourne  Melbourne Victoria Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"V.","family":"Thakkar","sequence":"additional","affiliation":[{"name":"Department of Rheumatology St Vincent's Hospital Melbourne  Melbourne Victoria Australia"},{"name":"Department of Rheumatology Liverpool Hospital  Sydney New South Wales Australia"},{"name":"School of Medicine University of Western Sydney  Sydney New South Wales Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"W.","family":"Stevens","sequence":"additional","affiliation":[{"name":"Department of Rheumatology St Vincent's Hospital Melbourne  Melbourne Victoria Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K.","family":"Morrisroe","sequence":"additional","affiliation":[{"name":"Department of Rheumatology St Vincent's Hospital Melbourne  Melbourne Victoria Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D.","family":"Prior","sequence":"additional","affiliation":[{"name":"Department of Cardiology St Vincent's Hospital Melbourne  Melbourne Victoria Australia"},{"name":"Department of Medicine at St Vincent's Hospital Melbourne The University of Melbourne  Melbourne Victoria Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C.","family":"Rabusa","sequence":"additional","affiliation":[{"name":"Department of Rheumatology St Vincent's Hospital Melbourne  Melbourne Victoria Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P.","family":"Youssef","sequence":"additional","affiliation":[{"name":"Institute of Rheumatology and Orthopaedics Royal Prince Alfred Hospital  Sydney New South Wales Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"E.","family":"Gabbay","sequence":"additional","affiliation":[{"name":"The University of Notre Dame  Fremantle Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J.","family":"Roddy","sequence":"additional","affiliation":[{"name":"Department of Rheumatology Royal Perth Hospital  Perth Western Australia Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. 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