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-ʹÓúÏÊʵĸùÒò·ÖÎö·¨£¬ÒÔÍ·ÄԷ籩ѰÕÒËùÓпÉÄÜ - It is likely that there may be more than one root cause -ºÜ¿ÉÄܲ»Ö¹Ò»¸ö¸ù±¾Ô­Òò¡£

- Review decisions and actions taken in light of any new information. - ¸ù¾ÝÈκÎеÄÐÅÏ¢»Ø¹Ë¾ö¶¨¼°Ðж¯¡£

- Due to the variability of microbiological results don¡®t limit the investigation to the specific batch it should be broader to review historical results and trends -ÓÉÓÚ΢ÉúÎï¼à²â½á¹ûµÄ¿É±äÐÔ£¬²»Äܽ«µ÷²é¾ÖÏÞÓÚÌØ¶¨Åú£¬Ó¦À©Õ¹ÖÁ»Ø¹ËÀúÊ·Êý¾Ý¼°Ç÷ÊÆ¡£ - Unusual events should be included to understand potential impacts. -Ò쳣ʼþÓ¦ÀûÓÚÀí½âDZÔÚÓ°Ïì

- What is the justification to perform a repeat analysis (is sample left); re-test or Resample -¿ªÕ¹ÔÙ·ÖÎö£¨ÑùÆ·¶ªÊ§£©£»¸´¼ì»òÔÙÈ¡ÑùµÄÀíÓÉÊÇʲô

- Any identifications may need to be at DNA/RNA level (bioburden failures) -һЩ¼ø¶¨¿ÉÄÜÐèÒªÔÚDNA/RNAˮƽ£¨ÉúÎ︺ºÉʧ°Ü£©

- All potential sources of contamination need to be considered ¨C process flow the issue from sample storage to the test environment. -ËùÓÐDZÔÚÎÛȾԴÐèҪȷÈÏ-³ÌÐòÓ¦×ñÑ­´ÓÑùÆ·Öü´æµ½ÊµÑé»·¾³¡£

- Use scientific decisions/justifications and risk based analysis. - Ó¦ÓÃϵͳ¾ö²ß£¬²¢·çÏÕ·ÖÎö¡£

- The investigation may include working closely with the manufacturing team -µ÷²éÓ¦°üÀ¨ÓëÉú²úÍŶӽôÃÜÏà¹ØµÄ¹¤×÷¡£

- During the investigation it is an advantage to go and look at where the contamination occurred. -µ÷²é¹ý³ÌÖУ¬È¥¿´ÎÛȾ·¢ÉúÔÚÄÄÀïÊÇÓÐÀûµÄ¡£

- Ask how relevant plant is cleaned, tested for integrity, checked for wear, checked for material suitability and maintained at the occurrence site may reveal possible causes. -ÔÚ·¢ÉúµØÑ¯ÎÊÏà¹Ø³§·¿ÈçºÎÇå½à¡¢ÍêÕûÐÔÊÔÑé¡¢×Å×°¼ì²é¡¢Ô­ÁÏÎȶ¨ÐÔ¼ì²é¼°Î¬»¤£¬¿ÉÄܽÒʾ¿ÉÄܵÄÔ­Òò¡£

- Where possible talk directly to the staff involved as some information may be missed if not looked at from the chemist/ microbiologist point of view. -ÄÄÀïÓпÉÄÜÖ±½Ó¸æËßÏà¹ØµÄÔ±¹¤£¬Èç¹û²»ÊÇ´ÓÒ»¸ö»¯Ñ§¼Ò/΢ÉúÎïѧ¼ÒµÄÊÓ½ÇÈ¥¿´£¬ÓÐЩÐÅÏ¢¿ÉÄܱ»ºöÊÓ¡£

- Look for other documentation such as deviations and engineering notifications around the area of concern (this is applicable to the laboratory as well as manufacturing). - ·­ÔÄÆäËûÎļþÀýÈçÏà¹ØÇøÓòµÄÆ«²î¼°¹¤³Ì±¨¸æ£¨ÕâÊÊÓÃÓÚ»¯ÑéÊÒ¼°Éú²ú²¿ÃÅ£©

- Trending can have species drift which may also be worthy of an action limit style investigation. -ÎïÖÖ±äÒìµÄÇ÷ÊÆ¿ÉÄÜÒ²ÊÇÖµµÃ¿ªÕ¹Ò»¸öÓÐÏ޵ĵ÷²é»î¶¯

- Statistical analysis for microbiology can include lots of zero results so recovery rates or similar may have to be used. -΢ÉúÎïʵÑéͳ¼Æ·ÖÎö°üÀ¨Ò»Ð©0½á¹û£¬ËùÒÔ»ØÊÕÂÊ»òÀàËÆ·½·¨¿ÉÄܲ»µÃ²»Ê¹Óá£

- If a sample is invalidated the remaining level of assurance needs to be carefully considered, is their sufficient residual information? -Èç¹ûÒ»¸öÑùÆ·Ðû¸æÎÞЧ£¬Ó¦ÈÏÕæ¿¼ÂÇÆä²ÐÁôµÄ±£Ö¤Ë®Æ½£¬ÆäÊÇ·ñ²ÐÁôÓÐ×ã¹»µÄÐÅÏ¢£¿ - Corrective actions may be appropriate for more than one root cause. -¾ÀÕý´ëʩӦÊʺÏÒ»¸öÒÔÉϵĸù±¾Ô­Òò¡£

Stability ¨C OOS/OOT:Îȶ¨ÐÔ-OOS/OOT

Stability OOS/OOT situations should be escalated as soon as the

suspect result is found. Follow the investigation as above for Phase I and Phase II. For OOS Situations Regulatory agencies will require notification within a short time point of discovery due to recall potential. Ò»µ©¿ÉÒɵĽá¹û±»·¢ÏÖ£¬Îȶ¨ÐÔOOS/OOT״̬Ӧ±»Éý¼¶¡£°´ÕÕÉÏÊö²½Öèl¼°²½Öèllµ÷²é³ÌÐò¿ªÕ¹¡£OOS¹ÜÀí²¿ÃÅÒªÇóÔÚ·¢ÏÖºó×î¶Ìʱ¼ä֪ͨ£¬ÒòΪÓÐDZÔÚµÄÕٻع¤×÷¡£

If abnormal results are found at any stability interval which predicts that the test results may be OOS before the next testing interval, schedule additional testing before the next scheduled testing interval. This will help better determine appropriate actions to be taken. The stability OOS should link to the Product Recall procedures. ÔÚÏÂÒ»¸ö¼ì²âʱ¼ä¶Î֮ǰµÄÈκÎÎȶ¨ÐÔ¿¼²ìʱ¼ä¶ÎÈç¹û·¢ÏÖÒì³£½á¹û±íÃ÷ÊÔÑé½á¹ûΪOOS£¬Ó¦ÔÚÏÂÒ»¸öʱ¼äµã¼ì²â֮ǰ¼Æ»®Ôö¼ÓÊÔÑé¡£Õ⽫ÓÐÖúÓÚ²ÉÈ¡¸üºÏÊʵÄÐж¯¡£Îȶ¨ÐÔOOSÓ¦Óë²úÆ·ÕٻسÌÐò¹ØÁª¡£

OOT

To facilitate the prompt identification of potential issues, and to ensure data quality, it is advantageous to use objective (often statistical) methods that detect potential out-of-trend (OOT) stability data quickly. OOT alerts can be classified into three categories to help identify the appropriate depth for an investigation. OOT stability alerts can be referred to as: ΪÓÐÀûÓÚDZÔÚÎÊÌâµÄ¿ìËÙʶ±ð¼°È·±£Êý¾ÝµÄÖÊÁ¿£¬Ê¹Óÿ͹۷½·¨£¨¾­³£ÎªÍ³¼Æ·½·¨£©¿ìËÙÈ·¶¨Ç±ÔÚµÄOOTÊÇÓÐÒæµÄ¡£OOT¾¯±¨¿É·ÖΪÈýÀàÒÔ°ïÖúʶ±ðµ÷²éµÄºÏÊÊÉî¶È¡£OOTÎȶ¨ÐÔ¾¯±¨¿É±»³ÆÎª£º ? analytical,·ÖÎöµÄ

? process control, and ¹ý³Ì¿ØÖÆ£¬ºÍ ? compliance alerts, ºÏ¹æÐÔ ¾¯±¨

As the alert level increases from analytical to process control to compliance alert, the depth of investigation should increase. ¾¯±¨Ë®Æ½´Ó·ÖÎö¾¯±¨¡¢¹ý³Ì¿ØÖƾ¯±¨µ½ºÏ¹æÐÔ¾¯±¨Öð½¥Ôö¼Ó£¬µ÷²éÉî¶ÈÒ²Öð²½Ôö¼Ó¡£

Stability:

¨C A compliance alert defines a case in which an OOT result suggests the

potential or likelihood for OOS results to occur before the expiration date within the same stability study (or for other studies) on the same product. - ºÏ¹æÐÔ¾¯±¨¶¨ÒåΪ´ËÖÖÇé¿ö£ºOOT½á¹û°µÊ¾ÔÚÓÐЧÆÚ֮ǰ¸Ã²úÆ·ÓøÃÎȶ¨ÐÔ¿¼²ì·½·¨»áÓÐDZÔڵĻò

¿ÉÄܵÄOOS½á¹û¡£

¨C The stability OOS should link to the Product Recall procedures. -Îȶ¨ÐÔOOSÓ¦Óë²úÆ·ÕٻسÌÐò¹ØÁª¡£

¨C Historical data are needed to identify OOT alerts. -ÐèÒªÓÃÀúÊ·Êý¾ÝÀ´Ê¶±ðOOT¾¯±¨

¨C An analytical alert is observed when a single result is aberrant but within specification limits (i.e., outside normal analytical or sampling variation and normal change over time). - ·ÖÎö¾¯±¨´¥·¢£ºµ±µ¥¸ö½á¹ûÒì³£µ«ÊÇÔÚ±ê×¼·¶Î§ÄÚ£¨¼´ ³¬³öÕý³£·ÖÎö½á¹û»òÈ¡Ñù²îÒì¼°ËæÊ±¼äµÄÕý³£±ä»¯¡£

Phase III Investigation

The phase 3 investigation should review the completed manufacturing

investigation and combined laboratory investigation into the suspect analytical results, and/or method validation for possible causes into the results obtained. ²½Öèlllµ÷²éÓ¦µ±¼ì²éÍê³ÉµÄÉú²úµ÷²é£¬¼°Óë¿ÉÒɽá¹û¹ØÁªµÄʵÑéÊÒµ÷²é£¬ºÍ/»òÓë½á¹û¹ØÁªµÄΪѰÕÒ¿ÉÄÜÔ­Òò¶ø¿ªÕ¹µÄ·½·¨ÑéÖ¤¡£

? To conclude the investigation all of the results must be evaluated. ËùÓеĽá¹û±ØÐëµÃµ½ÆÀ¹Àºó²ÅÄܽáÊøµ÷²é£¬

? The investigation report should contain a summary of the investigations performed; and a detailed conclusion. µ÷²é±¨¸æÓ¦°üº¬µ÷²éÖ´Ðйý³ÌµÄ¸ÅÒª£¬ÒÔ¼°ÏêϸµÄ½áÂÛ¡£

? For microbiological investigations ,where appropriate, use risk analysis tools to support the decisions taken and conclusions drawn. It may not have been possible to determine the actual root cause therefore a robust most probable root cause may have to be given. ¶ÔÓÚ΢ÉúÎïʵÑéµ÷²é£¬Ó¦Êʵ±µÄʹÓ÷çÏÕ·ÖÎö¹¤¾ßÒÔÖ§³Ö×ö¾ö¶¨ºÍϽáÂÛ¡£¿ÉÄܲ»»áÕÒµ½ÕæÕýµÄÔ­Òò£¬Òò´Ë×î¿ÉÄܵĸù±¾Ô­ÒòÓ¦ÕÒµ½¡£

? The batch quality must be determined and disposition decision taken. ¸ÃÅú²úÆ·ÖÊÁ¿±ØÐë¸øÓèÈ·¶¨£¬²¢Öƶ¨´¦Àí´ëÊ©¡£

? Once a batch has been rejected there is no limit to further testing to determine the cause of failure, so that corrective action can be taken. Ò»µ©¸ÃÅú²úÆ·Åж¨²»ºÏ¸ñ£¬Ã»ÓÐÏÞÖÆ¿ªÕ¹½øÒ»²½µÄÊÔÑéÒÔÈ·¶¨Ê§°ÜÔ­Òò£¬ÒÔ±ãÖ´ÐоÀÕý´ëÊ©

? The decision to reject cannot be reversed as a result of further testing. ²»ºÏ¸ñµÄ¾ö¶¨²»ÄÜÒòΪ½øÒ»²½µÄÊÔÑé½á¹û¶øµÃµ½Äæ×ª¡£

? The impact of OOS result on other batches, on going stability studies, validated processes and testing procedures should be determined by Quality Control and Quality Assurance and be documented in the

conclusion, along with appropriate corrective and preventive actions. OOS½á¹û¶ÔÆäËûÅú´Î¡¢½øÐÐÖеÄÎȶ¨ÐÔÑо¿µÄÓ°Ï죬ӦÓÐQCºÍQAÈ·¶¨ÑéÖ¤¹ý³ÌºÍÊÔÑé³ÌÐò£¬²¢ÔÚ½áÂÛÖÐÊéÃæËµÃ÷£¬²¢¸½Êʵ±µÄCAPA»î¶¯¡£

Conclusion:

¨C If no laboratory or calculation errors are identified in the Phase I and Phase II there is no scientific basis for invalidating initial OOS results in favour of passing retest results. All test results, both passing and suspect, should be reported (in all QC documents and any Certificates of Analysis) and all data has to be considered in batch release decisions. -Èç¹ûÔÚ²½Öèl¼°²½ÖèllÖÐδ·¢ÏÖʵÑéÊÒ»òÕß¼ÆËã´íÎó£¬ÄÇô¾ÍûÓпÆÑ§µÄ¸ù¾ÝʹԭOOS½á¹ûÎÞЧ¶øÖ§³Ö¹ýÈ¥µÄ¸´¼ì½á¹û¡£ËùÓÐÊÔÑé½á¹û£¬°üÀ¨ÒÔÍùµÄºÍ´Ë»³Òɽá¹ûÓ¦±¨¸æ£¨ÔÚËùÓÐQC¼Ç¼Öм°ÈκεļìÑ鱨¸æÖУ©£¬ËùÓÐÊý¾ÝÓ¦ÔÚÅú·ÅÐоö¶¨Ê±ÓèÒÔ¿¼ÂÇ¡£

¨C If the investigation determines that the initial sampling method was inherently

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