ArticleArthritis research & therapy2023
Clinical characteristics and prognosis in systemic lupus erythematosus-associated pulmonary arterial hypertension based on consensus clustering and risk prediction model.
Article in Arthritis research & therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 7 citations in OpenAlex.
- Unsupervised clustering of clinical and laboratory features of systemic lupus erythematosus: insights from a multicentre cohort.Lupus science & medicine · 2026Article
- Pulmonary arterial flow alterations in systemic lupus erythematosus on 4D flow CMR: a case-control study.European radiology experimental · 2026Article
- The Long-Term Outcomes of Pulmonary Hypertension in Systemic Lupus Erythematosus (SLE-PAH) Vary Among Different Autoantibody-Based Clusters: An Observational, Longitudinal Study Conducted at a Single Centre in India.Mediterranean journal of rheumatology · 2025Article
- Lupus-Associated Pulmonary Arterial Hypertension: A Success Story.JACC. Case reports · 2025Article
- Phenotypes of patients with lupus-associated pulmonary hypertension in the Chinese Han population: a cluster analysis.Clinical rheumatology · 2024Article
- CTD-PAH: an updated practical approach to screening, diagnosis, and management.Therapeutic advances in respiratory diseaseReview
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9 authors at 1 institution in 1 country.
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Abstract
backgroundPulmonary arterial hypertension (PAH) is a severe complication of systemic lupus erythematosus (SLE). This study aims to explore the clinical characteristics and prognosis in SLE-PAH based on consensus clustering and risk prediction model.
methodsA total of 205 PAH (including 163 SLE-PAH and 42 idiopathic PAH) patients were enrolled retrospectively based on medical records at the First Affiliated Hospital of Zhengzhou University from July 2014 to June 2021. Unsupervised consensus clustering was used to identify SLE-PAH subtypes that best represent the data pattern. The Kaplan-Meier survival was analyzed in different subtypes. Besides, the least absolute shrinkage and selection operator combined with Cox proportional hazards regression model were performed to construct the SLE-PAH risk prediction model.
resultsClustering analysis defined two subtypes, cluster 1 (n = 134) and cluster 2 (n = 29). Compared with cluster 1, SLE-PAH patients in cluster 2 had less favorable levels of poor cardiac, kidney, and coagulation function markers, with higher SLE disease activity, less frequency of PAH medications, and lower survival rate within 2 years (86.2% vs. 92.8%) (P < 0.05). The risk prediction model was also constructed, including older age at diagnosis (≥ 38 years), anti-dsDNA antibody, neuropsychiatric lupus, and platelet distribution width (PDW).
conclusionsConsensus clustering identified two distinct SLE-PAH subtypes which were associated with survival outcomes. Four prognostic factors for death were discovered to construct the SLE-PAH risk prediction model.
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