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An evidence-based strategy to screen for pulmonary arterial hypertension in systemic sclerosis

Authors :
Janet E. Pope
David Langleben
Marvin J. Fritzler
Marie Hudson
T Semalulu
Thao Huynh
Mianbo Wang
Murray Baron
Lawrence G. Rudski
Source :
Seminars in Arthritis and Rheumatism. 50:1421-1427
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

Background Clinical practice guidelines recommend screening all systemic sclerosis (SSc) patients for pulmonary arterial hypertension (PAH) with yearly echocardiograms. There is a paucity of evidence to support these guidelines. Research question Can a prediction model identify SSc patients with a very low probability of PAH and therefore not requiring annual screening echocardiogram? Study design and methods We performed a case-control study of 925 unselected SSc subjects nested in a multi-centered, longitudinal cohort. The probability of PAH for each subject was calculated using the results of multivariate logistic regression models. A cut-off was identified for the estimated probability of PAH below which no subject developed PAH (100% sensitivity). Results Study subjects were predominantly female (87.5%), with mean (SD) age 58.6 (11.7) years and disease duration of 18.2 (12.2) years. Thirty-seven subjects developed PAH during 5407.97 person-years of observation (incidence rate 0.68 per 100 person-years). Shortness of breath (SOB), diffusing capacity for carbon monoxide (DLCO) and NT-proBNP were independent predictors of PAH. All SSc-PAH cases had a probability of PAH of >1.1%. Subjects below this cut-off, none of whom had PAH, accounted for 46.2% of the study population. Interpretation A simple prediction model identified subjects at very low probability of PAH who could potentially forego annual screening echocardiogram. This represents almost half of SSc subjects in a general SSc population. This study, which is the first evidence-based study for the rational use of follow-up echocardiograms in an unselected SSc cohort, requires validation. The scoring system is freely available online at http://pahtool.ladydavis.ca.

Details

ISSN :
00490172
Volume :
50
Database :
OpenAIRE
Journal :
Seminars in Arthritis and Rheumatism
Accession number :
edsair.doi.dedup.....0f34edb75885a58064d2db47d8b7f4c0
Full Text :
https://doi.org/10.1016/j.semarthrit.2020.02.013