OBJECTIVE: To explore the risk factors of adverse drug reactions of antibiotics in elderly inpatients and the establishment of risk nomogram model. METHODS: Clinical data of the elderly inpatients who were treated with antibiotics during hospitalization from Jan. 2018 to Jan. 2020 in the Sixth Medical Center of PLA General Hospital were retrospectively analyzed

single factor analysis and Logistic regression multivariate analysis were respectively conducted to analyze independent risk factors of adverse drug reactions

and to establish related nomogram prediction model. RESULTS: Totally 254 elderly inpatients were involved. Age ≥70 years（ OR = 3. 012

95% CI =1. 628-5. 575）

abnormal liver and kidney function（ OR = 3. 059

95% CI = 1. 400-6. 682）

not in small dose for the first administration（ OR = 4. 028

95% CI = 2. 102-7. 721）

medication duration ≥7 d（ OR = 2. 974

95% CI = 1. 512-5. 851）

drug combination（ OR = 2. 646

95% CI = 1. 402-4. 993） and hospital stay ≥20 d（ OR = 2. 898

95% CI =1. 290-6. 511） were the independent risk factors of adverse drug reactions of antibiotics in elderly inpatients（ P <0. 05）. Based on the above 6 independent risk factors

a nomogram model for predicting adverse drug reactions of antibiotics in elderly inpatients was established and verified

the prediction curve was close to the standard curve

with the consistency index was 0. 793（ 95% CI = 0. 763-0. 823）

which indicated that the nomogram prediction model of this study had good accuracy and distinction degree. CONCLUSIONS: Age ≥ 70 years

abnormal liver and kidney function

not in small dose for the first administration

medication duration ≥7 d

drug combination and hospital stay ≥20 d are the independent risk factors of adverse drug reactions of antibiotics in elderly inpatients; the nomogram model established in this study has accurate predictive ability and distinction degree

which is beneficial to clinical screening of high-risk patients and take effective elusion measures.