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Risk factor analysis of linezolid-induced hyponatremia and the establishment of its nomogram model
- ZHONGGUO YAOFANG Vol. 33, Issue 23, Pages: 2891-2894(2022)
- 作者机构：
复旦大学附属中山医院药剂科，上海 200032
- 作者简介：
- 基金信息：
DOI：10.6039/j.issn.1001-0408.2022.23.14
CLC： R978.1;R969.3Published：15 December 2022，
Received：17 June 2022，
Revised：10 October 2022，
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秦艳,叶岩荣,沈赟等.利奈唑胺相关低钠血症危险因素分析及其列线图模型建立 Δ[J].中国药房,2022,33(23):2891-2894.
QIN Yan,YE Yanrong,SHEN Yun,et al.Risk factor analysis of linezolid-induced hyponatremia and the establishment of its nomogram model[J].ZHONGGUO YAOFANG,2022,33(23):2891-2894.
秦艳,叶岩荣,沈赟等.利奈唑胺相关低钠血症危险因素分析及其列线图模型建立 Δ[J].中国药房,2022,33(23):2891-2894. DOI： 10.6039/j.issn.1001-0408.2022.23.14.
QIN Yan,YE Yanrong,SHEN Yun,et al.Risk factor analysis of linezolid-induced hyponatremia and the establishment of its nomogram model[J].ZHONGGUO YAOFANG,2022,33(23):2891-2894. DOI： 10.6039/j.issn.1001-0408.2022.23.14.
摘要
目的
2
分析利奈唑胺相关低钠血症的危险因素，建立利奈唑胺致低钠血症的列线图模型。
方法
2
回顾性收集复旦大学附属中山医院2019年4月至2021年5月接受利奈唑胺治疗的142例患者资料，包括患者的人口统计学特征、实验室检查指标、合并疾病和联合用药等情况。根据是否发生低钠血症分为低钠血症组和非低钠血症组，采用单因素分析比较两组间变量的差异，通过多因素Logistic回归分析研究利奈唑胺相关低钠血症的独立危险因素；在此基础上建立列线图模型用于识别利奈唑胺致低钠血症的发生风险，采用受试者工作特征（ROC）曲线和校准曲线、Hosmer-Lemeshow拟合优度检验评估模型的预测效能。
结果
2
142例患者中，有30例患者发生低钠血症，112例患者未发生低钠血症，不良反应发生率为21.1%。单因素分析结果显示，低钠血症组与非低钠血症组患者的利奈唑胺谷浓度、基线血清钠、白细胞计数、总胆红素、白蛋白、丙氨酸转氨酶、天冬氨酸转氨酶、联合使用螺内酯比较，差异有统计学意义（
P
＜0.05）。多因素Logistic回归分析结果显示，利奈唑胺谷浓度[OR＝1.128，95%CI（1.028，1.239）]、基线血清钠[OR＝0.719，95%CI（0.604，0.857）]
和总胆红素[OR＝1.007，95%CI（1.002，1.011）]是利奈唑胺相关低钠血症的独立危险因素（
P
＜0.05）。列线图模型ROC曲线下面积（95%CI）为0.874（0.794，0.995），灵敏度和特异度分别为88.4%和76.7%；校准曲线的平均绝对误差为0.017；Hosmer-Lemeshow拟合优度检验结果显示，风险预测值与实测值比较，差异无统计学意义（
χ
2
＝4.941，
P
＝0.064）。
结论
2
利奈唑胺谷浓度、基线血清钠和总胆红素是利奈唑胺相关低钠血症的独立危险因素；在此基础上建立的列线图模型对于利奈唑胺相关低钠血症的发生具有较好的预测价值。
Abstract
OBJECTIVE
2
To analyze the risk factors of linezolid-induced hyponatremia， and establish nomogram model of linezolid-induced hyponatremia.
METHODS
2
The clinical information of 142 patients who received linezolid therapy were collected from Zhongshan Hospital Affiliated to Fudan University from April 2019 to May 2021 including demographic characteristics， laboratory index， concomitant disease and drug combination. They were divided into hyponatremia group and non-hyponatremia group according to whether hyponatremia occurred； univariate analysis was used to compare the differences of variables between the two groups； the independent risk factors for linezolid-induced hyponatremia were analyzed by multivariate Logistic regression. The nomogram model was set up to identify the occurrence risk of linezolid-induced hyponatremia， receiver operating characteristic （ROC） curve and calibration curve， Hosmer-Lemeshow goodness-of-fit test were used to evaluate the predictive effectiveness of the model.
RESULTS
2
Of 142 patients， 30 patients suffered from hyponatremia， and 112 patients did not suffer， the incidence of adverse drug reaction was 21.1%. Univariate analysis showed that there was statistical significance in trough concentration of linezolid， baseline serum sodium， white blood cell count， total bilirubin， albumin， alanine aminotransferase， aspartate aminotransferase， combined use of spironolactone between hyponatremia group and non-hyponatremia group （
P
＜0.05）. Multivariate Logistic regression analysis showed that trough concentration of linezolid [OR＝1.128， 95%CI（1.028-1.239）]， baseline serum sodium [OR＝0.719， 95%CI（0.604-0.857）]
and total bilirubin [OR＝1.007， 95%CI（1.002， 1.011）] were independent risk factors for linezolid-induced hyponatremia （
P
＜0.05）. The area under the ROC curve （95%CI） of the nomogram model was 0.874 （0.794-0.995）； the sensitivity and specificity were 88.4% and 76.7%. The average absolute error of calibration curve was 0.017. The results of Hosmer-Lemeshow goodness-of-fit test showed that there was no statistically significant difference between the predicted risk value and the measured value （
χ
2
＝4.941，
P
＝0.064）.
CONCLUSIONS
2
The trough concentration of linezolid， baseline serum sodium and total bilirubin are independent risk factors for linezolid-induced hyponatremia. The established nomogram model shows well predictive performance to identify linezolid-induced hyponatremia.
关键词
利奈唑胺低钠血症危险因素不良反应列线图模型
Keywords
hyponatremiarisk factoradverse drug reactionnomogram model
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