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Predicting the Risk of Pulmonary Arterial Hypertension in Systemic Lupus Erythematosus: A Chinese Systemic Lupus Erythematosus Treatment and Research Group Cohort Study

医学 内科学 队列 列线图 系统性红斑狼疮 四分位间距 比例危险模型 间质性肺病 疾病
作者
Jingge Qu,Mengtao Li,Yanhong Wang,Xinwang Duan,Hui Luo,Cheng Zhao,Feng Zhan,Zhenbiao Wu,Hongbin Li,Min Yang,Jian Xu,Wei Wei,Lijun Wu,Yongtai Liu,Hanxiao You,Junyan Qian,Xiaoxi Yang,Can Huang,Jiuliang Zhao,Qian Wang
出处
期刊:Arthritis & rheumatology [Wiley]
卷期号:73 (10): 1847-1855 被引量:29
标识
DOI:10.1002/art.41740
摘要

Pulmonary arterial hypertension (PAH) is a life-threatening complication of systemic lupus erythematosus (SLE). However, there is no algorithm to identify those at high risk. This study was undertaken to develop a prediction model for PAH in patients with lupus that provides individualized risk estimates.A multicenter, longitudinal cohort study was undertaken from January 2003 to January 2020. The study collected data on 3,624 consecutively evaluated patients diagnosed as having SLE. The diagnosis of PAH was confirmed by right-sided heart catheterization. Cox proportional hazards regression and least absolute shrinkage and selection operator were used to fit the model. Model discrimination, calibration, and decision curve analysis were performed for validation.Ninety-two lupus patients (2.54%) developed PAH during a median follow-up of 4.84 years (interquartile range 2.42-8.84). The final prediction model included 5 clinical variables (acute/subacute cutaneous lupus, arthritis, renal disorder, thrombocytopenia, and interstitial lung disease) and 3 autoantibodies (anti-RNP, anti-Ro/SSA and anti-La/SSB). A 10-year PAH probability-predictive nomogram was established. The model was internally validated by Harrell's concordance index (0.78), the Brier score (0.03), and a satisfactory calibration curve. According to the net benefit and predicted probability thresholds, we recommend annual screening in high-risk (>4.62%) lupus patients.We developed a risk stratification model using routine clinical assessments. This new tool may effectively predict the future risk of PAH in patients with SLE.
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