|A comparison of the predictive accuracy of three screening models for pulmonary arterial hypertension in systemic sclerosis|
|Morrisroe, Kathleen1; Hao, Yanjie1,2; Thakkar, Vivek1,3,4; Stevens, Wendy1; Prior, David5; Rabusa, Candice1; Youssef, Peter6; Gabbay, Eli7; Roddy, Janet8; Walker, Jennifer9; Zochling, Jane10; Sahhar, Joanne11; Nash, Peter12; Lester, Susan13; Rischmueller, Maureen13,15; Proudman, Susanna M.14,15; Nikpour, Mandana1,16|
|刊名||ARTHRITIS RESEARCH & THERAPY|
|WOS标题词||Science & Technology|
|关键词[WOS]||BRAIN NATRIURETIC PEPTIDE ; CLINICAL CHARACTERISTICS ; SURVIVAL ; DIAGNOSIS ; DISEASE ; TESTS|
Introduction: There is evidence that early screening for pulmonary arterial hypertension (PAH) in systemic sclerosis (SSc) improves outcomes. We compared the predictive accuracy of two recently published screening algorithms (DETECT 2013 and Australian Scleroderma Interest Group (ASIG) 2012) for SSc-associated PAH (SSc-PAH) with the commonly used European Society of Cardiology/European Respiratory Society (ESC/ERS 2009) guidelines.
Methods: We included 73 consecutive SSc patients with suspected PAH undergoing right heart catheterization (RHC). The three screening models were applied to each patient. For each model, contingency table analysis was used to determine sensitivity, specificity, and positive (PPV) and negative (NPV) predictive values for PAH. These properties were also evaluated in an ′alternate scenario analysis′ in which the prevalence of PAH was set at 10%.
Results: RHC revealed PAH in 27 (36.9%) patients. DETECT and ASIG algorithms performed equally in predicting PAH with sensitivity and NPV of 100%. The ESC/ERS guidelines had sensitivity of 96.3% and NPV of only 91%, missing one case of PAH; these guidelines could not be applied to three patients who had absent tricuspid regurgitant (TR) jet. The ASIG algorithm had the highest specificity (54.5%). With PAH prevalence set at 10%, the NPV of the models was unchanged, but the PPV dropped to less than 20%.
Conclusions: In this cohort, the DETECT and ASIG algorithms out-perform the ESC/ERS guidelines, detecting all patients with PAH. The ESC/ERS guidelines have limitations in the absence of a TR jet. Ultimately, the choice of SSc-PAH screening algorithm will also depend on cost and ease of application.
|作者单位||1.Peking Univ, Dept Rheumatol & Clin Immunol, Hosp 1, Beijing 100871, Peoples R China|
2.St Vincents Hosp Melbourne, Dept Rheumatol, Fitzroy, Vic 3065, Australia
3.Liverpool Hosp, Dept Rheumatol, Liverpool, NSW 2170, Australia
4.Univ Western Sydney, Sch Med, Penrith, NSW 2751, Australia
5.St Vincents Hosp Melbourne, Dept Cardiol, Fitzroy, Vic 3065, Australia
6.Royal Prince Alfred Hosp, Inst Rheumatol & Orthopaed, Camperdown, NSW 2050, Australia
7.Univ Notre Dame, Fremantle, WA 6959, Australia
8.Royal Perth Hosp, Dept Rheumatol, Perth, WA 6001, Australia
9.Flinders Med Ctr, Dept Rheumatol, Bedford Pk, SA 5042, Australia
10.Menzies Inst Tasmania, Dept Rheumatol, Hobart, Tas 7001, Australia
11.Monash Med Ctr, Dept Rheumatol, Clayton, Vic 3168, Australia
12.Univ Queensland, Rheumatol Res Unit, Dept Med, Maroochydore, Qld 4558, Australia
13.Queen Elizabeth Hosp, Rheumatol Dept, Woodville South, SA 5011, Australia
14.Royal Adelaide Hosp, Dept Rheumatol, North Terrace, SA 5000, Australia
15.Univ Adelaide, Discipline Med, North Terrace, SA 5000, Australia
16.Univ Melbourne, Dept Med, St Vincents Hosp Melbourne, Fitzroy, Vic 3065, Australia
|Morrisroe, Kathleen,Hao, Yanjie,Thakkar, Vivek,et al. A comparison of the predictive accuracy of three screening models for pulmonary arterial hypertension in systemic sclerosis[J]. ARTHRITIS RESEARCH & THERAPY,2015,17.|
|APA||Morrisroe, Kathleen.,Hao, Yanjie.,Thakkar, Vivek.,Stevens, Wendy.,Prior, David.,...&Nikpour, Mandana.(2015).A comparison of the predictive accuracy of three screening models for pulmonary arterial hypertension in systemic sclerosis.ARTHRITIS RESEARCH & THERAPY,17.|
|MLA||Morrisroe, Kathleen,et al."A comparison of the predictive accuracy of three screening models for pulmonary arterial hypertension in systemic sclerosis".ARTHRITIS RESEARCH & THERAPY 17(2015).|