Objective: To analyze the occurrence and influencing factors of adverse drug reactions ( ADR) induced by β-lactam antibiotics and establish the risk prediction model by monitoring ADR induced by β-lactam antibiotics in children from Lu’ an Hospital Affiliated to Anhui Medical University. Methods: Children who received β-lactam antibiotics in Lu’ an Hospital Affiliated to Anhui Medical University from May 2018 to Feb. 2022 were extracted as subjects for ADR monitoring. Clinical data of children with ADR were collected and analyzed. Based on the occurrence of ADR

children were divided into the ADR group and non-ADR ( nADR) group. Logistic regression analysis was used to identify independent risk factors and construct the nomogram prediction model. Results: A total of 453 children receiving β-lactam antibiotics were monitored

with 87 cases of ADR (ADR group)

and 366 cases without ADR (nADR group). Univariate and multivariate Logistic regression analysis showed that history of allergy

inappropriate administration frequency

high dose

medication duration ⩾3 d and drug combination were independent risk factors for ADR induced by β-lactam antibiotics (P< 0. 05). Based on these findings

nomogram model for predicting ADR induced by β-lactam antibiotics was constructed

with C-index of 0. 749 (95% CI from 0. 691 to 0. 807). Correction curve was close to the ideal curve ( from 16% to 81%)

and the net risk benefit value of ADR induced by β-lactam antibiotics predicted by the column graph was high

indicating that the model was good in clinical prediction. Conclusion: Risk factors of ADR induced by β-lactam antibiotics include history of allergy

inappropriate administration frequency

high dose

medication duration ⩾3 d and drug combination

and the constructed nomogram model can effectively predict the risk probability of ADR induced by β-lactam antibiotics

which is of some clinical value.