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Abstract Number: 3139

Screening Algorithm for Pulmonary Hypertension in Systemic Sclerosis – Comparison of Predictive Accuracy of Three Algorithms

Vivek Nagaraja1, Scott H. Visovatti2, Heather Gladue3, Veronica J. Berrocal4, Jennifer Serrano5, Vallerie McLaughlin2 and Dinesh Khanna6, 1Department of Medicine [Division of Rheumatology], University of Toledo, Toledo, OH, 2Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, MI, 3Rheumatology, Emory University, Atlanta, GA, 4Div of Rheumatology, University of Michigan, Ann Arbor, MI, 5University of Michigan, Ann Arbor, MI, 6Division of Rheumatology, University of Michigan, Ann Arbor, MI

Meeting: 2015 ACR/ARHP Annual Meeting

Date of first publication: September 29, 2015

Keywords: pulmonary complications and systemic sclerosis

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Session Information

Date: Tuesday, November 10, 2015

Title: Systemic Sclerosis, Fibrosing Syndromes, and Raynaud's - Clinical Aspects and Therapeutics II

Session Type: ACR Concurrent Abstract Session

Session Time: 2:30PM-4:00PM

Background/Purpose: Pulmonary arterial hypertension (PAH) is the leading
cause of mortality in systemic sclerosis (SSc), and is associated with a 3-year
survival of approximately 50%. Early screening for SSc-PAH may improve survival.
We compared the predictive accuracy of three recently published screening
algorithms – DETECT 2013, Australian Scleroderma Interest Group (ASIG) 2012,
Cochin risk prediction score (RPS) 2011 – for SSc-PAH.

Methods: We included consecutive SSc patients with suspected
PAH undergoing right heart catheterization (RHC). The inclusion criteria were based
on 2013 recommendations for screening PAH (Khanna D. Arthritis Rheum. 2013). 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 [defined as mean
pulmonary artery pressure (mPAP) > or = 25,
pulmonary capillary wedge pressure (PCWP) < or = 15, and no/mild interstitial
lung disease (ILD) on high-resolution CT scan of chest (HRCT), or FVC > or =
70%], WHO group 2 pulmonary hypertension (PH defined as mPAP
> or = 25, PCWP >15, and no / Mild ILD on HRCT, or FVC > or = 70%), and
WHO group 3 PH (defined as mPAP > or = 25, PCWP
< or = 15, and moderate / severe ILD on HRCT, or FVC <70%).

Results: Of the 108 patients screened for PAH, 77 met the
recommendations, and 60 patients had the RHC. The prevalence of PAH was 18%. Figure
1 provides a flowchart of patients screened for PAH. There were no significant
differences in the baseline clinical characteristics between the PH and non-PH
patients. Majority of the patients were females (60% vs
57%), had telangiectasia (70% vs 78%) and about a
third of the patients had anticentromere antibody (35% vs
38%). DETECT and ASIG algorithms performed similarly in detecting PAH with
sensitivities and NPV of 100 % (Table 1). Approximately 1/3 of patients who met
the criteria had PAH (PPV 32-38%). In detecting group-2 PH, DETECT and RPS
algorithms had sensitivities and NPV of 100% (Table 1).

Conclusion: In this cohort, the DETECT and ASIG algorithms were
comparable in detecting PAH in the SSc patients.

Figure 1: Flowchart of patients
screened for PAH

Table 1: Summary of the predictive
accuracies (in percentage) of the screening models for PAH in SSc patients

ASIG

DETECT

RPS

PAH

Group-2 PH

Group-3 PH

PAH

Group-2 PH

Group-3 PH

PAH

Group-2 PH

Group-3 PH

Positive

58

47

50

66

60

58

74

73

71

Negative

42

53

50

34

40

42

26

27

29

Sensitivity

100

50

62

100

100

70

91

100

75

Specificity

53

53

53

45

45

45

32

36

30

PPV

37

12

25

38

22

28

32

22

50

NPV

100

89

85

100

100

83

91

100

83

PPV positive predictive value; NPV negative
predictive value; PAH pulmonary arterial hypertension; PH pulmonary
hypertension


Disclosure: V. Nagaraja, None; S. H. Visovatti, None; H. Gladue, None; V. J. Berrocal, None; J. Serrano, None; V. McLaughlin, None; D. Khanna, None.

To cite this abstract in AMA style:

Nagaraja V, Visovatti SH, Gladue H, Berrocal VJ, Serrano J, McLaughlin V, Khanna D. Screening Algorithm for Pulmonary Hypertension in Systemic Sclerosis – Comparison of Predictive Accuracy of Three Algorithms [abstract]. Arthritis Rheumatol. 2015; 67 (suppl 10). https://acrabstracts.org/abstract/screening-algorithm-for-pulmonary-hypertension-in-systemic-sclerosis-comparison-of-predictive-accuracy-of-three-algorithms/. Accessed .
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