Bahbah Wael A, Abo Hola Ahmed S, Bedair Hanan M, Taha Eman T, El Zefzaf Heba M S
Department of Pediatrics, Faculty of Medicine, Menoufia University, Shebin El-Kom, Egypt.
Department of Clinical Pathology, National Liver Institute, Menoufia University, Shebin El-Kom, Egypt.
Pediatr Res. 2024 Dec;96(7):1812-1821. doi: 10.1038/s41390-024-03260-x. Epub 2024 May 27.
Cow's Milk Allergy (CMA) diagnosis is often a challenge due to the non-specific nature of symptoms and lack of a confirmatory diagnostic test. To our knowledge no previous studies investigated serum Eosinophil-Derived Neurotoxin (sEDN) in CMA. So, we aimed to assess the role of sEDN in CMA diagnosis.
Forty-five infants with CMA were compared to 45 infants with functional gastrointestinal disorders (FGIDs) and 45 healthy controls. For all participants, Cow's Milk-related Symptom Score (CoMiSS) was documented, and sEDN level with hematological parameters were measured before starting elimination diet.
Receiver operation characteristic (ROC) curve identified sEDN > 14 ng/mL and CoMiSS > 9 as the optimal cut-off points to discriminate CMA from other groups with sensitivity 86.67%, 97.78% and specificity 60.00%, 78.89% respectively. Additionally, absolute neutrophil count (ANC) showed the highest sensitivity and specificity (80.0% and 78.89%) among hematological parameters. Although CoMiSS and ANC showed a significant positive correlation with sEDN in CMA group, CoMiSS was the only significant predictor for sEDN in multivariate linear regression.
sEDN showed high sensitivity in discriminating infants with and without CMA. Therefore, it is suggested as a potential biomarker for CMA diagnosis. Also, ANC should be closely monitored in these infants.
CMA presents with high heterogeneity, which complicates the diagnosis especially non-IgE-mediated and mixed types. So, oral food challenge continues to be the gold standard for its diagnosis. ROC curve identified CoMiSS > 9 as the best cut-off point to identify CMA. However, CoMiSS is a good awareness tool for CMA but not a diagnostic tool. sEDN level was significantly higher in infants with CMA with a good diagnostic performance in differentiating them than those without CMA. So, it is suggested as a potential biomarker for CMA diagnosis. ANC could have a role in CMA diagnosis and differentiating it from FGIDs.
由于症状的非特异性以及缺乏确诊性诊断测试,牛奶过敏(CMA)的诊断常常具有挑战性。据我们所知,此前尚无研究对CMA患者的血清嗜酸性粒细胞衍生神经毒素(sEDN)进行调查。因此,我们旨在评估sEDN在CMA诊断中的作用。
将45例CMA婴儿与45例功能性胃肠疾病(FGID)婴儿及45例健康对照进行比较。对所有参与者,记录牛奶相关症状评分(CoMiSS),并在开始排除饮食前测量sEDN水平及血液学参数。
受试者工作特征(ROC)曲线确定sEDN>14 ng/mL和CoMiSS>9为区分CMA与其他组的最佳切点,敏感性分别为86.67%、97.78%,特异性分别为60.00%、78.89%。此外,在血液学参数中,绝对中性粒细胞计数(ANC)显示出最高的敏感性和特异性(80.0%和78.89%)。虽然在CMA组中CoMiSS和ANC与sEDN呈显著正相关,但在多变量线性回归中,CoMiSS是sEDN的唯一显著预测因子。
sEDN在区分有和无CMA的婴儿方面显示出高敏感性。因此,建议将其作为CMA诊断的潜在生物标志物。此外,应对这些婴儿密切监测ANC。
CMA具有高度异质性,这使得诊断复杂化,尤其是非IgE介导型和混合型。因此,口服食物激发试验仍然是其诊断的金标准。ROC曲线确定CoMiSS>9为识别CMA的最佳切点。然而,CoMiSS是一种用于CMA的良好认知工具,但不是诊断工具。CMA婴儿的sEDN水平显著更高,在区分他们与无CMA婴儿方面具有良好的诊断性能。因此,建议将其作为CMA诊断的潜在生物标志物。ANC在CMA诊断以及将其与FGID区分方面可能发挥作用。