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Bao S, Lu J, Huang H, Jin YY, Ding F, Yang Z, Xu X, Liu C, Mo X, Jin Y. Major Infections of Newly Diagnosed Childhood-Onset Systemic Lupus Erythematosus. J Multidiscip Healthc 2023; 16:1455-1462. [PMID: 37251105 PMCID: PMC10225143 DOI: 10.2147/jmdh.s408596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 05/11/2023] [Indexed: 05/31/2023] Open
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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Affiliation(s)
- Shengfang Bao
- Department of Rheumatology & Immunology, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
| | - Jingyi Lu
- Department of Rheumatology & Immunology, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
| | - Hua Huang
- Department of Rheumatology & Immunology, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
| | - Ying-Ying Jin
- Department of Rheumatology & Immunology, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
| | - Fei Ding
- Department of Rheumatology & Immunology, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
| | - Zhen Yang
- Department of Rheumatology & Immunology, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
| | - Xuemei Xu
- Department of Rheumatology & Immunology, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
| | - Chenxi Liu
- Department of Rheumatology & Immunology, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
| | - Xi Mo
- Pediatric Translational Medicine Institute, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
| | - Yanliang Jin
- Department of Rheumatology & Immunology, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
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Pediatric Rheumatic Disease in Lower to Middle-Income Countries: Impact of Global Disparities, Ancestral Diversity, and the Path Forward. Rheum Dis Clin North Am 2021; 48:199-215. [PMID: 34798947 DOI: 10.1016/j.rdc.2021.09.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Pediatric rheumatology subspecialists treat chronic autoimmune diseases with onset in childhood. Prompt diagnosis and ongoing management of these conditions are imperative to prevent damage from ongoing inflammation. Here, we aim to describe the current landscape of pediatric rheumatic disease in lower to middle-income countries (LMICs) and explore current barriers to understanding global disease burden. We then examine innovative strategies to promote a more equitable future for children and young people living with rheumatic diseases worldwide.
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