Pregnancy outcomes and risk factors analysis in patients with systemic lupus erythematous

The management of systemic lupus erythematosus (SLE) during pregnancy remains a challenge currently. Identifying early predictors of adverse pregnancy outcomes in SLE patients can help to develop treatment plan and improve prognosis. The aim of this study is to explore the clinical and laboratory va...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:BMC Pregnancy and Childbirth 2024-07, Vol.24 (1), p.495-8, Article 495
Hauptverfasser: Lu, Jing, Xu, Dan, Wan, Qianqian, Chen, Huijun
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The management of systemic lupus erythematosus (SLE) during pregnancy remains a challenge currently. Identifying early predictors of adverse pregnancy outcomes in SLE patients can help to develop treatment plan and improve prognosis. The aim of this study is to explore the clinical and laboratory variables in the early pregnancy that can predict adverse neonatal and maternal outcomes, thereby facilitating the grading management of SLE. A retrospective analysis was conducted on 126 pregnant women with SLE who were admitted to Zhongnan Hospital of Wuhan University between January 2017 and December 2022. All enrolled patients were diagnosed (including newly diagnosed and previously diagnosed) during first trimester of pregnancy and their clinical records, laboratory results and pregnancy outcomes were reviewed. The association between the clinical and laboratory characteristics of patients at 12 gestational age and the adverse neonatal (ANOs) as well as maternal outcomes (AMOs) were analyzed. A total of 117 live births (92.8%) were recorded in the study. ANOs occurred in 59 (46.8%) cases, including fetal loss in 9 cases (7.1%), preterm birth in 40 cases (31.7%), small for gestational (SGA) in 15 cases (11.9%), and complete heart block in 2 cases (1.5%). Univariate analysis showed that disease activity index (P 
ISSN:1471-2393
1471-2393
DOI:10.1186/s12884-024-06701-x