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Systemic sclerosis (SSc) is a multisystem organ systems own immune diseases, to fibrosis, inflammation and vascular lesion is characterized.
Immune vascular pulmonary hypertension (PAH) is one of the main causes of death in SSc patients
This study evaluated the prediction accuracy of the DETECT algorithm and the 2015 European Society of Cardiology/European Respiratory Society (ESC/ERS) guidelines in the SSc cohort that received right heart catheterization (RHC) for pulmonary hypertension (PH) assessment .
Evaluated the prediction accuracy of the DETECT algorithm and the 2015 European Society of Cardiology/European Respiratory Society (ESC/ERS) guidelines
The SSc patients with no PH or PAH confirmed by RHC were included, and data on the application variables of DETECT and 2015 ESC/ERS guidelines were required.
Forecast accuracy of DETECT and 2015 ESC/ERS guidelines
Forecast accuracy of DETECT and 2015 ESC/ERS guidelines68 patients with SSc underwent RHC examination, of which 58 had no PH and 10 had PAH.
The sensitivity of the DETECT algorithm is 1.
In subjects with DLCO≥60% (N=27), the DETECT algorithm has a sensitivity of 1.
DETECT algorithm comprises DLCO≥60% of diagnosis with high sensitivity and negative predictive value PAH Diagnosis
Original source:
Original source:Young Amber, Moles Victor M, Jaafar Sara et al.
org/10.
1002/art.
41732" target="_blank" rel="noopener">Performance of the DETECT Algorithm for Pulmonary Hypertension Screening in a Systemic Sclerosis Cohort in this message
