Process Validation for Lyophilized Drug Products: Comparing a Program for Continued Process Verification in Different Lyophilized Products: Poster Presented at PDA Week 2025.
{"title":"Process Validation for Lyophilized Drug Products: Comparing a Program for Continued Process Verification in Different Lyophilized Products: Poster Presented at PDA Week 2025.","authors":"Abirami Natesh, Denise Miller","doi":"10.5731/pdajpst.2025.25402","DOIUrl":null,"url":null,"abstract":"<p><p>The 2011 FDA Guidance for Industry, \"Process Validation: General Principles and Practices,\" emphasizes maintaining control of manufacturing processes throughout the product lifecycle through constant reevaluation. For lyophilized drug products, Critical Quality Attributes (CQAs) identified in Stage 1 can be effectively trended and reported annually. However, monitoring Critical Process Parameters (CPPs) such as shelf temperature, chamber pressure, and time presents greater challenges. Methods like comparing actual variation to averages, targets, or proven acceptable ranges (PARs) are defined in Stage 1, validated in Stage 2, and continually assured in Stage 3. Demonstrating a state of control for lyophilization parameters is vital, yet complex. Previously, classical statistical methods were used to evaluate process variability by analyzing data from multiple batches of the same product. These techniques revealed actionable insights into maintaining consistent control. However, in a multiple product facility, utilizing multiple methods to analyze various products can be inexpedient. Expanding on previous research, various batches of lyophilized products were assessed to verify the relative robustness of a specific statistical methodology for the sake of efficiency. This analysis underscores the importance of continual monitoring in lyophilization to ensure product quality and regulatory compliance.</p>","PeriodicalId":19986,"journal":{"name":"PDA Journal of Pharmaceutical Science and Technology","volume":"79 4","pages":"426-427"},"PeriodicalIF":0.0000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PDA Journal of Pharmaceutical Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5731/pdajpst.2025.25402","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
The 2011 FDA Guidance for Industry, "Process Validation: General Principles and Practices," emphasizes maintaining control of manufacturing processes throughout the product lifecycle through constant reevaluation. For lyophilized drug products, Critical Quality Attributes (CQAs) identified in Stage 1 can be effectively trended and reported annually. However, monitoring Critical Process Parameters (CPPs) such as shelf temperature, chamber pressure, and time presents greater challenges. Methods like comparing actual variation to averages, targets, or proven acceptable ranges (PARs) are defined in Stage 1, validated in Stage 2, and continually assured in Stage 3. Demonstrating a state of control for lyophilization parameters is vital, yet complex. Previously, classical statistical methods were used to evaluate process variability by analyzing data from multiple batches of the same product. These techniques revealed actionable insights into maintaining consistent control. However, in a multiple product facility, utilizing multiple methods to analyze various products can be inexpedient. Expanding on previous research, various batches of lyophilized products were assessed to verify the relative robustness of a specific statistical methodology for the sake of efficiency. This analysis underscores the importance of continual monitoring in lyophilization to ensure product quality and regulatory compliance.