High sensitivity and negative predictive value of the DETECT algorithm for an early diagnosis of pulmonary arterial hypertension in systemic sclerosis: application in a single center

@inproceedings{Castillo2017HighSA,
  title={High sensitivity and negative predictive value of the DETECT algorithm for an early diagnosis of pulmonary arterial hypertension in systemic sclerosis: application in a single center},
  author={Alfredo Guill{\'e}n-Del Castillo and Eduardo Luis Callejas-Moraga and Gabriela T Garcia and Jos{\'e} Fernando Rodr{\'i}guez-Palomares and Antonio Rom{\'a}n and Cristina Berastegui and Manuel L{\'o}pez-Meseguer and Enric Domingo and Vicente Fonollosa-Pl{\'a} and Carmen Pilar Sime{\'o}n-Aznar},
  booktitle={Arthritis research & therapy},
  year={2017}
}
BACKGROUND Pulmonary arterial hypertension (PAH) is one of the most relevant causes of death in systemic sclerosis. The aims of this study were to analyse the recently published DETECT algorithm comparing it with European Society of Cardiology/European Respiratory Society (ESC/ERS) 2009 guidelines: as screening of PAH; (2) identifying median pulmonary arterial pressure (mPAP) ≥21 mmHg; and (3) determining any group of pulmonary hypertension (PH). METHODS Eighty-three patients fulfilling LeRoy… CONTINUE READING
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