Abstract：Objective To construct a risk prediction model for abnormal renal function caused by antibiotics in elderly hospitalized patients. Methods A retrospective analysis was conducted on the clinical data of 208 elderly inpatients in a tertiary hospital in Zhejiang Province from March 2017 to June 2019. Single factor and logistic regression were used to analyze the independent risk factors of renal dysfunction caused by antibiotics in elderly inpatients. And a risk prediction model was established for abnormal renal function caused by antibiotics in elderly hospitalized patients. Results There were statistical differences in age, abnormal thyroid function, history of diabetes, type of antibiotics, history of hypertension, and combined antibiotics between patients with abnormal renal function and those without abnormal renal function (P<0.05). Logistic regression analysis showed that age≥65 years old (OR=3.915, 95%CI: 1.589-9650), abnormal thyroid function (OR=4.892, 95%CI: 2.000-11.965), a history of diabetes (OR=5.277,95%CI:2.014-13.824) use of aminoglycoside antibiotics (OR=3.975, 95%CI:1.617-9.773), a history of hypertension (OR=3.270, 95%CI: 1.387-7.711), and combined antibiotics (OR=3.197, 95%CI: 1.373-7.442) were independent risk factors for renal dysfunction due to antibiotic use in elderly hospitalized patients (P<0.05). The established nomogram model for predicting the abnormal renal function caused by antibiotics in elderly hospitalized patients and the verification resultsshowed that the predicted value was basically consistent with the measured value. The ROC curve of the abnormal renal function risk nomogram had an AUC of 0.848 (95% CI ：0.812-0.884), suggesting that the predictionaccuracy of the model was acceptable. Conclusion Age≥65 years old, abnormal thyroid function, history of diabetes, use of aminoglycoside antibiotics, history of hypertension, and combined antibiotics are independent risk factors for renal dysfunction caused by antibiotics in elderly hospitalized patients, and the above six factors can be combined clinically to take targeted measures to prevent and treat renal dysfunction.
郑佳，柯梅芳，徐天燕. 老年住院患者使用抗生素所致肾功能异常风险预测模型的构建[J]. 中国医院统计, 2021, 28(5): 405-408.
Zheng Jia, Ke Meifang, Xu Tianyan. Construction of risk prediction model for abnormal renal function caused by antibiotics in elderly inpatients. journal1, 2021, 28(5): 405-408.
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