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Association Between Malignant Mitral Valve Prolapse and Sudden Cardiac Death: A Review Italian Society of Interventional Cardiology (GIse) Registry Of Transcatheter Treatment of Mitral Valve RegurgitaTiOn (GIOTTO): Impact of Valve Disease Etiology and Residual Mitral Regurgitation after MitraClip Implantation Initial experience with percutaneous mitral valve repair in patients with cardiac amyloidosis Transcatheter Interventions for Tricuspid Valve Disease: What to Do and Who to Do it On Closure of Iatrogenic Atrial Septal Defect Following Transcatheter Mitral Valve Repair: The Randomized MITHRAS Trial Risk of Atrial Fibrillation According to Cancer Type: A Nationwide Population-Based Study Italian Society of Interventional Cardiology (GIse) Registry Of Transcatheter Treatment of Mitral Valve RegurgitaTiOn (GIOTTO): Impact of Valve Disease Etiology and Residual Mitral Regurgitation after MitraClip Implantation Percutaneous left atrial appendage occlusion: the Munich consensus document on definitions, endpoints, and data collection requirements for clinical studies Novel Transcatheter Mitral Valve Prosthesis for Patients With Severe Mitral Annular Calcification The Tricuspid Annular Plane Systolic Excursion to Systolic Pulmonary Artery Pressure Index: Association With All-Cause Mortality in Patients With Moderate or Severe Tricuspid Regurgitation
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Original Research2014 Jul;73(7):1340-9.

JOURNAL：Ann Rheum Dis. Article Link

Evidence-based detection of pulmonary arterial hypertension in systemic sclerosis: the DETECT study

Coghlan JG, Denton CP, DETECT study group. Keywords: Arterial Hypertension; Epidemiology; Systemic Sclerosis

ABSTRACT

OBJECTIVE - Earlier detection of pulmonary arterial hypertension (PAH), a leading cause of death in systemic sclerosis (SSc), facilitates earlier treatment. The objective of this study was to develop the first evidence-based detection algorithm for PAH in SSc.


METHODS - In this cross-sectional, international study conducted in 62 experienced centres from North America, Europe and Asia, adults with SSc at increased risk of PAH (SSc for >3 years and predicted pulmonary diffusing capacity for carbon monoxide <60%) underwent a broad panel of non-invasive assessments followed by diagnostic right heart catheterisation (RHC). Univariable and multivariable analyses selected the best discriminatory variables for identifying PAH. After assessment for clinical plausibility and feasibility, these were incorporated into a two-step, internally validated detection algorithm. Nomograms for clinical practice use were developed.

RESULTS - Of 466 SSc patients at increased risk of PAH, 87 (19%) had RHC-confirmed PAH. PAH was mild (64% in WHO functional class I/II). Six simple assessments in Step 1 of the algorithm determined referral to echocardiography. In Step 2, the Step 1 prediction score and two echocardiographic variables determined referral to RHC. The DETECT algorithm recommended RHC in 62% of patients (referral rate) and missed 4% of PAH patients (false negatives). By comparison, applying European Society of Cardiology/European Respiratory Society guidelines to these patients, 29% of diagnoses were missed while requiring an RHC referral rate of 40%.

CONCLUSIONS - The novel, evidence-based DETECT algorithm for PAH detection in SSc is a sensitive, non-invasive tool which minimises missed diagnoses, identifies milder disease and addresses resource usage.
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