Predicting treatment outcomes and responder subsets in scleroderma-related interstitial lung disease.
Predicting treatment outcomes and responder subsets in scleroderma-related interstitial lung disease.
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DOI:
10.1002/art.30438
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发表时间:
2011-09
影响因子:
--
通讯作者:
Elashoff, Robert M.
中科院分区:
文献类型:
--
作者:
Roth, Michael D.;Tseng, Chi-Hong;Clements, Philip J.;Furst, Daniel E.;Tashkin, Donald P.;Goldin, Jonathan G.;Khanna, Dinesh;Kleerup, Eric C.;Li, Ning;Elashoff, David;Elashoff, Robert M.
To identify baseline characteristics of patients with Scleroderma-Related Interstitial Lung Disease (SSc-ILD) which predict the most favorable response to a 12-month treatment with oral cyclophosphamide (CYC). Regression analyses were retrospectively applied to the Scleroderma Lung Study data in order to identify baseline characteristics that correlated with the absolute change in %-predicted Forced Vital Capacity (FVC) and the placebo-adjusted change in %-predicted FVC over time (the CYC treatment effect). Completion of the CYC arm of the Scleroderma Lung Study was associated with a placebo-adjusted improvement in %-predicted FVC of 2.11% at 12 months which increased to 4.16% when patients were followed for another 6 months (p=0.014). Multivariate regression analyses identified the maximal severity of reticular infiltrates on baseline high-resolution computerized tomography (HRCT), the modified Rodnan Skin Score (mRSS), and Mahler's Baseline Dyspnea Index (BDI) as independent correlates of treatment response. When patients were stratified based on whether 50% or more of any lung zone was involved by reticular infiltrates on HRCT and/or the presence of a mRSS of at least 23, a subgroup emerged with an average CYC treatment effect of 4.73% at 12 months and 9.81% at 18 months (p<0.001). Conversely, there was no treatment effect (−0.58%) in patients with less severe HRCT findings and a lower mRSS. A retrospective analysis of the Scleroderma Lung Study identified the severity of reticular infiltrates on baseline HRCT and the baseline mRSS as patient features that might predict responsiveness to CYC therapy.
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影响因子:
--
作者:
STEEN, VD;CONTE, C;MEDSGER, TA
通讯作者:
MEDSGER, TA
影响因子:
39.2
作者:
White, B;Moore, WC;Wise, RA
通讯作者:
Wise, RA
影响因子:
158.5
作者:
Tashkin, Donald P.;Elashoff, Robert;Metersky, Mark
通讯作者:
Metersky, Mark
影响因子:
1.6
作者:
Ferri, C;Valentini, G;Tirri, G
通讯作者:
Tirri, G
影响因子:
5.5
作者:
Hanitsch, L. G.;Burmester, G. -R.;Riemekasten, G.
通讯作者:
Riemekasten, G.