Effect of colostrum on immunoglobulin A levels among premature infants: a meta-analysis
MEN Guangguo1, LU Xudan1, WANG Lili2
1. Neonatal Center of Ningbo Women and Children's Hospital, Ningbo, Zhejiang 315012, China; 2. Dong'e Hospital of Traditional Chinese Medicine, Liaocheng, Shandong 252201, China
Abstract：Objective To systematically evaluate the effect of colostrum on immunoglobulin A (IgA) levels among premature infants, so as to provide the evidence for improving premature infants' health with colostrum feeding. Methods Randomized controlled clinical trials (RCTs) or controlled clinical trials (CCTs) pertaining to the effect of colostrum and IgA levels among premature infants were retrieved in national and international databases from inception to September 30, 2022, including CNKI, Wanfang Data, PubMed and Web of Science. Standardized mean difference (SMD) was used as an effect index for meta-analysis. The robustness of the results was evaluated using sensitivity analysis, and the publication bias was evaluated using Begg's test, Egger's test and funnel plot. Results A total of 650 publications were retrieved initially, and 10 studies were finally included, including 9 RCTs and one1 CCT, with 677 participants. Meta-analysis showed higher secretory salivary secretory IgA levels among premature infants with colostrum feeding than among controls (SMD=0.49, 95%CI: 0.08-0.89), and there were no significant differences between groups in terms of urinary secretory IgA levels (SMD=0.19, 95%CI: -0.39-0.77) or blood IgA levels (SMD=0.29, 95%CI: -0.01-0.59). Sensitivity analysis showed robustness of meta-analysis results, and no publication bias was examined. Conclusion Colostrum feeding may increase salivary secretory IgA levels among premature infants; however, it has no effect on urine salivary secretory IgA levels or blood IgA levels.
门光国, 鲁徐丹, 王丽丽. 初乳对早产儿免疫球蛋白A水平影响的Meta分析[J]. 预防医学, 2023, 35(5): 431-435,439.
MEN Guangguo, LU Xudan, WANG Lili. Effect of colostrum on immunoglobulin A levels among premature infants: a meta-analysis. Preventive Medicine, 2023, 35(5): 431-435,439.
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