ArticleJournal of multidisciplinary healthcare2023
Major Infections of Newly Diagnosed Childhood-Onset Systemic Lupus Erythematosus.
Article in Journal of multidisciplinary healthcare, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 6 citations in OpenAlex.
- Incidence and risk factors of herpes zoster infection in pediatric systemic lupus erythematosus.Pediatric rheumatology online journal · 2025Article
- Acute kidney injury and outcomes in hospitalized children with autoimmune rheumatic disease.Italian journal of pediatrics · 2025Article
- Addressing Limitations and Enhancing Understanding: Feedback on 'Major Infections of Newly Diagnosed Childhood-Onset Systemic Lupus Erythematosus' [Letter].Journal of multidisciplinary healthcare · 2023Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To evaluate the risk of major infections in children with newly diagnosed childhood-onset systemic lupus erythematosus (cSLE). Methods: Predictors of major infections were identified by the multivariable logistic regression. Major infection free was defined as no major infection events within 6 months after the diagnosis of cSLE. The Kaplan-Meier survival plot was performed. A prediction model for major infection events was established and examined by receiver operating characteristic (ROC) curve analysis. Results: A total of 98 eligible patients were recorded in the medical charts. Sixty-three documented events of major infections were found in 60 (61.2%) cSLE patients. Furthermore, 90.5% (57/63) of infection events occurred within the first 6 months after the diagnosis of cSLE. The high SLEDAI (SLEDAI >10), lupus nephritis and lymphocyte count <0.8×109/L were predictors for major infections. The CALL score (Children with high disease activity [SLEDAI >10], lymphopenia, and LN) was defined by the number of predictors. Patients were then categorized into two groups: low-risk (score 0-1) and high-risk (score 2-3). Patients in the high-risk group had higher rates of the major infection occurrence than those in the low-risk group during the 6 months after the diagnosis of the cSLE (P<0.001) (HR:14.10, 95% CI 8.43 to 23.59). The ROC curve analysis indicated that the CALL score was effective both in the whole cSLE cohort [area under the curve (AUC) = 0.89, 95% CI: 0.81-0.97] and in the subgroup of lung infections (n = 35) (AUC = 0.79, 95% CI: 0.57-0.99). Conclusion: High disease activity, LN and lymphopenia were predictors for major infections in newly diagnosed cSLE patients. Specific predictors help identify the cSLE patients with the high risk of major infections. The CALL score could be a useful tool to stratify cSLE patients in practice.
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