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Construction and validation of a risk prediction model for hematochezia in infants with cow's milk protein allergy
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Yalan CHEN1, Yu ZENG1, Jiajia JIA1, Run LI2, 3, Xiaohong WAN4, Lu ZHANG5
Chinese Nursing Research | 2026, 40(17) : 3055 - 3062
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Chinese Nursing Research | 2026, 40(17): 3055-3062
• Original Articles •
Construction and validation of a risk prediction model for hematochezia in infants with cow's milk protein allergy
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Yalan CHEN1, Yu ZENG1, Jiajia JIA1, Run LI2, 3, Xiaohong WAN4, Lu ZHANG5
Affiliations
  • 1School of Nursing,Southwest Medical University,Sichuan 646000 China
  • 2The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University
  • 3Compounded Infusion Quality Testing Analysis and Precision Medication Technological Innovation Key Laboratory of Luzhou
  • 4The Affiliated Hospital, Southwest Medical University
  • 5Luzhou Maternal and Child Health Hospital
Published: 2026-09-10 doi: 10.12102/j.issn.1009-6493.2026.17.014
Outline
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Objective

To explore the risk factors for hematochezia in infants with cow's milk protein allergy(CMPA) and to construct and to validate a prediction model.

Methods

A retrospective study was conducted.A total of 408 infants with CMPA who visited the pediatric or child health care outpatient departments of tertiary hospitals from January to December 2024 were included as the modeling group.Another 175 infants with CMPA were included as the validation group.Participants were divided into a hematochezia group and a non-hematochezia group based on whether hematochezia occurred.Characteristic variables were selected using a combination of LASSO regression and the Boruta algorithm. Five machine learning algorithms-random forest,support vector machine,extreme gradient boosting(XGBoost),decision tree,and Logistic regression,were applied to construct prediction models.The area under the receiver operating characteristic curve(AUC) from internal validation was used as the primary criterion for selecting the optimal model.The optimal model was then subjected to external validation and interpretability analysis.

Results

Feeding intolerance,age in months,eczema,early-life antibiotic exposure,formula feeding,maternal consumption of allergenic foods during lactation,maternal history of allergy,and first feeding(formula) were identified as independent risk factors for hematochezia in infants with CMPA.The XGBoost model demonstrated the best predictive performance,with AUC values of 0.841 in the modeling group and 0.821 in the validation group.SHAP values of the XGBoost model revealed that feeding intolerance,age in months,and eczema were the top three important predictive factors.

Conclusions

The XGBoost model shows good performance in predicting the risk of hematochezia in infants with CMPA. It could serve as a reference for healthcare professionals to identify high-risk infants early.

cow's milk protein allergy(CMPA)  /  infants  /  hematochezia  /  feeding intolerance  /  eczema  /  machine learning  /  prediction model
陈雅岚, 曾羽, 贾佳佳, 李润, 万小红, 张璐. 牛奶蛋白过敏婴儿血便风险预测模型的构建及验证. 护理研究, 2026 , 40 (17) : 3055 -3062 . DOI: 10.12102/j.issn.1009-6493.2026.17.014
Yalan CHEN, Yu ZENG, Jiajia JIA, Run LI, Xiaohong WAN, Lu ZHANG. Construction and validation of a risk prediction model for hematochezia in infants with cow's milk protein allergy[J]. Chinese Nursing Research, 2026 , 40 (17) : 3055 -3062 . DOI: 10.12102/j.issn.1009-6493.2026.17.014
Year 2026 volume 40 Issue 17
27
11
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doi: 10.12102/j.issn.1009-6493.2026.17.014
  • Receive Date:2025-11-11
  • Online Date:2026-10-30
  • Published:2026-09-10
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History
  • Received:2025-11-11
  • Revised:2026-05-18
Affiliations
    1School of Nursing,Southwest Medical University,Sichuan 646000 China
    2The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University
    3Compounded Infusion Quality Testing Analysis and Precision Medication Technological Innovation Key Laboratory of Luzhou
    4The Affiliated Hospital, Southwest Medical University
    5Luzhou Maternal and Child Health Hospital
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表12种不同金属材料的力学参数
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Family
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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