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Risk factors associated with thrombocytopenia in systemic lupus erythematosus: A systematic review and meta-analysis. | LitMetric

AI Article Synopsis

  • - This meta-analysis examines the risk factors for thrombocytopenia (TP) in patients with systemic lupus erythematosus (SLE), a condition that can lead to severe complications and higher mortality rates.
  • - The study reviewed 17 high-quality research articles, discovering that older age and clinical features like serositis, splenomegaly, and renal involvement increase the risk of TP, while conditions like arthritis and rash serve as protective factors.
  • - The findings underscore the importance of early screening and intervention for SLE patients with identified risk factors to help mitigate the risk of TP and improve patient outcomes.

Article Abstract

Background: Systemic lupus erythematosus (SLE) frequently manifests with thrombocytopenia (TP), a hematologic complication that heightens the risk of severe outcomes and increases mortality. This meta-analysis aims to evaluate the potential risk factors associated with TP in SLE patients, providing insights into the demographic features, clinical features, and laboratory findings that contribute to this condition.

Methods: A comprehensive literature search was conducted across eight databases from inception to September 1, 2024. Study quality was assessed using the Newcastle-Ottawa Scale. Meta-analysis was conducted using univariate and multivariate analyses with Revman 5.3, while heterogeneity was addressed through subgroup and sensitivity analyses. Publication bias was assessed using funnel plots and Egger tests via Stata 15.0.

Results: Seventeen high-quality studies meeting the inclusion criteria were incorporated into this meta-analysis. Independent risk factors for TP in SLE included age (Demographic Features), serositis, splenomegaly, blood system involvement, and renal involvement (Clinical Features), as well as cardiac involvement, anemia, leukocytopenia, low C3/C4, ACA, and CRP (Laboratory Findings). Arthritis and rash were protective factors. Subgroup analysis addressed heterogeneity caused by unit and sample size differences. Sensitivity analysis comparing the consistency between fixed-effects model (FEM) and random-effects model (REM) confirmed the reliability of the findings, and both funnel plots and Egger tests suggested no publication bias.

Conclusion: This meta-analysis identified several potential independent risk factors for TP in SLE. Early screening and timely intervention for patients with these risk factors are essential to reduce the likelihood of TP, prevent severe organ damage, and improve overall prognosis.

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Source
http://dx.doi.org/10.1016/j.autrev.2024.103721DOI Listing

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