基于SPC的临床质谱仪关键性能稳定性评价方法研究

      Research on Stability Evaluation Method for Key Performance of Clinical Mass Spectrometer Based on SPC

      • 摘要: 临床质谱仪作为Ⅱ类医疗器械,在长时间、大批量、高基质的临床应用场景中面临性能稳定性挑战,而目前国内外尚未建立统一的性能稳定性评价标准方法。该研究旨在基于统计过程控制(statistical process control,SPC)理论,构建一套科学、通用的临床质谱仪关键性能稳定性评价体系,为监管机构准入审核和生产企业质量提升提供技术支撑。首先依据临床使用需求和风险等级划分,确定检出限、抗干扰能力等关键性能参数及重要度等级,通过模拟临床实际运行场景采集关键性能数据,采用均值−极差控制图进行统计稳态判断;以过程性能指数(process performance index,PPK)为核心构建稳定性能力指数(stability capability index,SCI),完成技术稳态评估,最终通过统计稳态与技术稳态组合判定,划分稳定性等级。通过ICP-MS的元素检出限试验对方法进行效果验证,结果显示该方法既可以有效评价仪器关键性能稳定性,又可以识别仪器性能波动根源。结论表明,基于SPC的临床质谱仪关键性能稳定性评价方法兼具科学性、可操作性和经济性,既能精准预判仪器性能退化趋势、预警失效风险,又能为医疗器械全生命周期质量管控提供统一标准,适用于不同类型临床质谱仪的稳定性评价,对规范行业质量标准、提升临床使用安全性具有重要意义。

         

        Abstract: As a Class Ⅱ medical device, clinical mass spectrometers face challenges in performance stability when operating in long-term, high-volume, and high-matrix clinical application scenarios. However, a unified standard method for evaluating performance stability has not yet been established domestically or internationally. This study aims to construct a scientific and universal evaluation system for the key performance stability of clinical mass spectrometers based on the Statistical Process Control (SPC) theory, providing technical support for the access review of regulatory authorities and the quality improvement of manufacturing enterprises. Firstly, based on the division of clinical application needs and risk levels, key performance parameters such as detection limit and anti-interference capability, as well as their importance levels, are determined. Key performance data are collected by simulating actual clinical operating scenarios, and the X-bar-R control chart is used to judge the statistical steady state. The Stability Capability Index (SCI) is constructed the Process Performance Index (PPK) as the core to complete the technical steady state evaluation. Finally, the stability levels are classified through the combined determination of statistical steady state and technical steady state. The effectiveness of the method is verified through the detection limit test using ICP-MS. The results show that this method can not only effectively evaluate the key performance stability of the instrument but also identify the root causes of instrument performance fluctuations. The conclusion indicates that the SPC-based method for evaluating the key performance stability of clinical mass spectrometers is scientific, operable, and economical. It can not only accurately predict the performance degradation trend of instruments and warn of failure risks but also provide a unified standard for the whole-life cycle quality control of medical devices. It is applicable to the stability evaluation of different types of clinical mass spectrometers and is of great significance for standardizing industry quality standards and improving clinical application safety.

         

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