| Clinical features and independent predictors of pulmonary arterial hypertension in systemic lupus erythematosus. | |
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MedLine Citation:
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PMID: 21437686 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Pulmonary arterial hypertension (PAH) is a devastating complication of systemic lupus erythematosus (SLE). We aim to estimate the putative predictors contributing to early identification of PAH, thus improve appropriate medical intervention and a better prognosis. A retrospective case-control study was conducted. Forty-one SLE patients with PAH and 106 SLE patients without PAH were enrolled. Demographic variables, clinical features, and laboratory data were compared between the two groups. Univariate and multivariate logistic regression models were used to examine the predictors contributing to PAH in SLE. Serositis, Raynaud's phenomenon, high disease activity, anticardiolipin antibodies, and anti-U1RNP were significantly associated with SLE-PAH. Univariate and multivariate analysis showed that Raynaud's phenomenon, anticardiolipin antibodies, and anti-U1RNP were independent predictors of PAH in SLE. This study highlighted the clinical pattern of SLE-PAH patients, and underlined the leading predictors of PAH development among patients with SLE. Routine echocardiography is recommended in SLE patients with the independent predictors mentioned above. |
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Authors:
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Fan Lian; Dongying Chen; Yu Wang; Yujin Ye; Xiaodong Wang; Zhongping Zhan; Hanshi Xu; Liuqin Liang; Xiuyan Yang |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-3-25 |
Journal Detail:
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Title: Rheumatology international Volume: - ISSN: 1437-160X ISO Abbreviation: - Publication Date: 2011 Mar |
Date Detail:
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Created Date: 2011-3-25 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8206885 Medline TA: Rheumatol Int Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Department of Rheumatology and Clinical Immunology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan 2nd Road, 510080, Guangzhou, China. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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