药物开发阶段胶囊剂型联合用药的风险评估

M. Almakaiev, O. Bashura, L. Sidenko
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引用次数: 0

摘要

的目标。在药物开发(PD)阶段进行药物质量规划时,采用一般风险评估方法确定治疗多发性神经病的联合药物“神经核”胶囊剂型中关键质量指标相关的潜在风险因素。材料和方法。研制了联合用药“神经核素”系列胶囊剂型、药品质量关键指标、药品生产流程图、药品生产过程关键控制点。采用因果关系法。采用FMECA方法对风险因素进行定量评估。结果和讨论。本研究的主要目的是将质量设计(QbD)方法应用于由尿苷-5-单磷酸二钠盐(UMP)、胞苷-5-单磷酸二钠盐(CMF)、维生素B6、硫辛酸和乳酸二水镁组成的胶囊制剂的PD分析。为了提高患者依从性和产品质量,确定了目标质量概况作为PD计划的基础,以及与产品安全性和有效性相关的关键质量属性(CQA)。每个CQA的关键程度使用一个特殊的量表进行评估。结果表明,“定量含量”、“剂量单位均匀性”、“溶出度”、“杂质”被定义为最大的CQA,因为胶囊中UMF和CMF的含量最少,并且它们有可能分解并增加杂质的数量。识别材料的关键属性(CMA),确定控制这些属性所需的特性,以确保预期的产品质量。对活性成分的质量指标风险进行了初步评价。发现FPP中颗粒大小影响均匀性、原料药定量含量和溶出度,在进行“溶出度”测试时,活性物质的溶解度存在较高的风险。为确定对药品质量有显著影响的潜在因素,找出最大影响因素数,构建石川图。确定了与原料药和辅料的质量和配伍性、原包装质量、生产条件、药品质量控制和工艺过程相关的危险因素。这些因素是造成风险的原因,并可能导致对药品质量产生负面影响的情况。FMECA工艺评估使我们能够确定生产工艺对cqa结论的影响。在PD阶段,对胶囊剂型中联合用药的药物质量的潜在关键指标进行了确定。对初始组分质量和产品性能的关键参数进行了评估;对药品质量最可能的风险进行了识别、分析和评估。进一步的研究应侧重于研究工艺参数对产品质量关键参数的影响,评估质量风险,制定验证计划并实施。
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The risk assessment of the combined medicine in the capsule dosage form at the pharmaceutical development stage
Aim. To determine the potential risk factors associated with the critical quality indicators of the combined medicine “Neuronucleos” in the capsule dosage form for the treatment of polyneuropathies using the general risk assessment methodology while planning the drug quality at the stage of pharmaceutical development (PD). Materials and methods. The series of the combined medicine “Neuronucleos” in the capsule dosage form, critical indicators of the drug quality, the flowchart of the drug production, critical control points of the drug manufacturing process were developed. The method of causality was used. The quantitative assessment of risk factors was carriedout using the FMECA methodology. Results and discussion. The main objective of this study was to apply the Quality-by-Design (QbD) approach to PD of the combined medicine in the capsule dosage form based on uridine-5 monophosphate disodium salt (UMP), cytidine-5-monophosphate disodium salt (CMF), vitamin B6, thioctic acid and magnesium lactate dihydrate. For better patient compliance and the product quality, a target quality profile as a base for PD planning, as well as critical quality attributes (CQA) related to the product safety and efficacy were determined. The criticality of each CQA was assessed using a special scale. It was shown that “Quantitative content”, “Uniformity of dosage units”, “Dissolution”, “Impurities” were defined as the most CQA due to the minimum amount of UMF and CMF in the capsule and the possibility of their decomposition and increase in the quantity of impurities. The critical attributes of materials (CMA) were identified, and the characteristics required to control them were determined in order to ensure the expected product quality. The primary assessment of the quality indicator risks of the active ingredients was performed. It was found that the particle size affected the homogeneity, the quantitative content of API and dissolution in FPP, and it was shown that the solubility of active substances had a high risk when performing the “Dissolution” test. To determine the potential factors with a significant impact on the drug quality the maximum number of factors was found, and the Ishikawa diagram was constructed. The risk factors associated with the quality and compatibility of active substances and excipients, the quality of primary packaging, production conditions, the drug quality control and the technological process were identified. These factors are the causes of risk and can lead to a situation with negative consequences for the quality of a medicinal product. The FMECA process assessment allowed us to determine the impact of the manufacturing process on the CQA. Conclusions. At the stage of PD for the combined medicine in the capsule dosage form the potential critical indicators of the drug quality have been determined. The critical parameters of the quality of the initial components and the properties of the product have been assessed; the most probable risks for the drug quality have been identified, analyzed and assessed. Further research is advisable to focus on studying the effect of process parameters on critical parameters of the product quality and assessing risks for quality and creating a validation plan and its implementation.
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