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Erschienen in: Lung 4/2018

21.05.2018 | INTERSTITIAL LUNG DISEASE

Assessing Mortality Models in Systemic Sclerosis-Related Interstitial Lung Disease

verfasst von: Robert L. Mango, Eric L. Matteson, Cynthia S. Crowson, Jay H. Ryu, Ashima Makol

Erschienen in: Lung | Ausgabe 4/2018

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Abstract

Purpose

The gender, age, and lung physiology (GAP) model, interstitial lung diseases—GAP (ILD-GAP) model, and the smoking history, age, and diffusion capacity of the lung (SADL) model were compared using a systemic sclerosis-ILD (SSc-ILD) cohort to evaluate which best determined prognosis.

Methods

The models were applied to a cohort of 179 patients with SSc seen at a tertiary care center within 1 year of ILD diagnosis. Demographics, clinical characteristics, and mortality were recorded. The performance of the models was assessed using standardized mortality ratios (SMR) of observed versus predicted outcomes for calibration and concordance (c)-statistics for discrimination.

Results

SSc-ILD patients with usual interstitial pneumonia (31, 17%) had a higher mortality than those with non-specific interstitial pneumonia (147, 83%) (hazard ratio 2.27; 95%CI 1.03–4.97). All 3 models had comparable discrimination (c = 0.72, 0.72, and 0.71, respectively). Regarding calibration, the ILD-GAP model underestimated mortality (SMR 1.50; 95%CI 1.05–2.14). Calibration was acceptable for SADL (SMR 1.00; 95%CI 0.70–1.44) and GAP (SMR 0.90; 95%CI 0.63–1.29). The SADL model underestimated mortality in Stage I ILD.

Conclusions

The ILD-GAP model underestimated mortality, and the SADL model underestimated mortality in certain subgroups. However, the GAP model performed well in this cohort, providing the best prognostic information for SSc-ILD.
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Metadaten
Titel
Assessing Mortality Models in Systemic Sclerosis-Related Interstitial Lung Disease
verfasst von
Robert L. Mango
Eric L. Matteson
Cynthia S. Crowson
Jay H. Ryu
Ashima Makol
Publikationsdatum
21.05.2018
Verlag
Springer US
Erschienen in
Lung / Ausgabe 4/2018
Print ISSN: 0341-2040
Elektronische ISSN: 1432-1750
DOI
https://doi.org/10.1007/s00408-018-0126-6

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