Clinical Characteristics of Moxifloxacin-Related Arrhythmias and Development of a Predictive Nomogram: A Case Control Study

Peng Li MPharm, Man Zhu MPharm, Ao Gao MPharm, Haili Guo MPharm, An Fu MPharm, Anqi Zhao MPharm, Daihong Guo MPharm
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Abstract

This study aimed to analyze the incidence, clinical characteristics, and risk factors of moxifloxacin-related arrhythmias and electrocardiographic alterations in hospitalized patients using real-world data. Concurrently, a nomogram was established and validated to provide a practical tool for prediction. Retrospective automatic monitoring of inpatients using moxifloxacin was performed in a Chinese hospital from January 1, 2017, to December 31, 2021, to obtain the incidence of drug-induced arrhythmias and electrocardiographic alterations. Propensity score matching was conducted to balance confounders and analyze clinical characteristics. Based on the risk and protective factors identified through logistic regression analysis, a prediction nomogram was developed and internally validated using the Bootstrap method. Arrhythmias and electrocardiographic alterations occurred in 265 of 21,711 cases taking moxifloxacin, with an incidence of 1.2%. Independent risk factors included medication duration (odds ratio [OR] 1.211, 95% confidence interval [CI] 1.156-1.270), concomitant use of meropenem (OR 4.977, 95% CI 2.568-9.644), aspartate aminotransferase >40 U/L (OR 3.728, 95% CI 1.800-7.721), glucose >6.1 mmol/L (OR 2.377, 95% CI 1.531-3.690), and abnormally elevated level of amino-terminal brain natriuretic peptide precursor (OR 2.908, 95% CI 1.640-5.156). Concomitant use of cardioprotective drugs (OR 0.430, 95% CI 0.220-0.841) was a protective factor. The nomogram showed good differentiation and calibration, with enhanced clinical benefit. The incidence of moxifloxacin-related arrhythmias and electrocardiographic alterations is in the range of common. The nomogram proves valuable in predicting the risk in the moxifloxacin-administered population, offering significant clinical applications.

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莫西沙星相关心律失常的临床特征及预测性提名图的开发:病例对照研究。
本研究旨在利用真实世界的数据,分析住院患者中与莫西沙星相关的心律失常和心电图改变的发生率、临床特征和风险因素。同时,还建立并验证了一个提名图,以提供实用的预测工具。从2017年1月1日至2021年12月31日,在一家中国医院对使用莫西沙星的住院患者进行了回顾性自动监测,以获得药物引起的心律失常和心电图改变的发生率。为平衡混杂因素和分析临床特征,进行了倾向评分匹配。根据逻辑回归分析确定的风险和保护因素,制定了预测提名图,并使用 Bootstrap 方法进行了内部验证。在 21,711 例服用莫西沙星的病例中,有 265 例出现心律失常和心电图改变,发生率为 1.2%。独立风险因素包括用药时间(几率比[OR] 1.211,95% 置信区间[CI] 1.156-1.270)、同时使用美罗培南(OR 4.977,95% CI 2.568-9.644)、天冬氨酸氨基转移酶>40 U/L(OR 3.728,95% CI 1.800-7.721)、血糖 >6.1 mmol/L(OR 2.377,95% CI 1.531-3.690)、氨基末端脑钠肽前体水平异常升高(OR 2.908,95% CI 1.640-5.156)。同时使用心脏保护药物(OR 0.430,95% CI 0.220-0.841)是一个保护因素。该提名图显示出良好的区分度和校准性,并能提高临床疗效。与莫西沙星相关的心律失常和心电图改变的发生率属于常见范围。事实证明,提名图在预测使用莫西沙星人群的风险方面很有价值,具有重要的临床应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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