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222
Manufacture and Supply, Science and Reg ulation Towards High-Qua lity Medicinal Products
MKT is not an easy concept to understand and to apply. By defini­tion, MKT is a single derived temperature that, if maintained over a defined period of time, aords the same thermal challenge to a drug substance or drug product as would be experienced over a range of both higher and lower temperatures for an equivalent defined period. MKT is higher than the arithmetic mean temperature. The following formula of Haynes, based on the Arrhenius equation, can be used to calculate MKT for a defined period:
Calculation of mean kinetic temperature
Legend and Symbols
is the MKT calculated in degrees Kelvin. The final MKT result
T
K
(in degree Celsius) can be calculated by doing a simple subtrac­tion, i.e., T
– 273.15°.
K
ΔH is the activation energy which describes the reaction rate for degradation of the active ingredient. A default value of 83.144 kJ/mol is typically used as a good approximation for most phar­maceutical compounds. The use of a default value also simplifies the mathematics.
Please note that it is possible to use a dierent ΔH value that is specific to a given active ingredient (or pharmaceutical product) if the information is available from experimental studies.
R is the universal gas constant, which equals 8.3144 J/°K/mol.
n is the total number of storage temperatures recorded during
the observation (study) period.
Stability and Shelf-Life Testing of Medicinal Products
T1 = the (average) temperature, in degrees Kelvin, during the first time point.
T
= the (average) temperature, in degrees Kelvin, during the sec-
2
ond time point.
T
= the (average) temperature, in degrees Kelvin, during the nth
n
measured time point.
7.10 . Calculating MKT during Storage and
Transportation
The US FDA and pharmacopeias have published methods to calcu­late MKT during storage and transportation. However, the easiest and most meaningful way to get an MKT value is by letting the data loggers and software do the work for you. It is of course possi­ble to do the calculation yourself, but remember that you need to gather an extensive amount of data and a calculation tool (for exam­ple Microsoft Excel). The manual calculations can be overwhelm­ing. So, we should let the data loggers and software do the work for us. However, it should be remembered that any tool employed for calculation of MKT for use in GMP/GDP environment and the asso­ciated decision-making would require validation.
223
The UK MHRA advocates the use of MKT in GDP. The agency rec­ognizes that it is not possible to obtain a meaningful MKT value from daily readings of simple maximum-minimum thermometers as temperature fluctuation is not a linear function. Continuous monitoring of temperature data can provide a more meaningful MKT value. Many data loggers and building management systems are capable of recording multiple/continuous temperature readings,
224
Manufacture and Supply, Science and Reg ulation Towards High-Qua lity Medicinal Products
and calculating the MKT over a given time period. Today, there are many monitoring systems which can automatically calculate MKT, using any historical data set. Simply select the timespan you are interested in and the MKT values will appear in the software win­dow automatically.

7.1 1. Conclusion

This chapter on stability testing can be summarized as follows:
Stability tests are carried to ensure that a product is safe, eec­tive and of good quality throughout its shelf life.
Current regulations, science and technology are adequate to cover all conditions which products are subjected to during stor­age, transportation and use.
Stability tests should be carried out following proper scientific principles and understanding of current regulations and as per relevant climatic zones.
MKT is a useful tool to help assure product quality during dis­tribution, especially if storage temperature does not exceed 25°C or 30°C, or go below refrigeration temperature.
The inclusion of more recorded temperature-time points in the formula of Haynes would give a more accurate prediction of the MKT value.
Regardless of whether the MKT calculations are used or not, all temperature excursions should be investigated.
Chapter 8
Good Documentation Practice and
Pharmaceutical Data Integrity
225

8.1. Christopher Columbus versus the Vikings

hat has Good Documentation Practice got to do with Christopher Columbus and the Vikings? The short answer is: Good Documentation Practice
W
pher Columbus. He was acknowledged as the discoverer of Amer­ica instead of the Vikings who probably reached America earlier than Columbus. The Vikings were prolific explorers, navigators and discoverers. Some historians believed that the Vikings, led by Leif Erikson, reached America around the year 1000, which was about 500 years earlier than Columbus. But they did not keep good records. So, they had no robust proof of where they had been and their voyage to America was deemed to be anecdotal, rather than a historical fact.
changed the course of history in favor of Christo-
226
Manufacture and Supply, Science and Reg ulation Towards High-Qua lity Medicinal Products
On the other hand, Christopher Columbus was known to be a meticulous explorer who kept good and extensive records. In 1492, Columbus landed on a New World. Evaluation of historical records showed that he reached America. Hence, Columbus is acknowl­edged as the discoverer of America. You could say that Columbus knew about the paramount importance of Good Documentation Practice. He was ahead of his time!
8.2. Documentation and Good Manufacturing
Practice
Documentation is an integral part of Good Manufacturing Prac­tice (GMP). In fact, documentation has always been a significant and distinct chapter in all national and international GMP stand­ards. Documentation and Good Documentation Practice have been part of GMP ever since the US FDA published the world’s first GMP standard in 1962, namely, the US cGMP Regulations for Finished Pharmaceutical Products, following the Kefauver-Harris Amend­ment to US Food, Drug and Cosmetic Act. Good Documentation Practice and GMP as a quality system standard may be crystallized into the four statements on the next page.
8.3. PIC/S Guide to GMP for Medicinal Products —
Chapter 4
Chapter 4 of the Pharmaceutical Inspection Convention/Co-oper­ation Scheme (PIC/S) Guide to GMP for Medicinal Products deals with the broad topic of Documentation. It includes elements such
Good Documentation Practice and Pharmaceutical Data Integ rity
as good documentation practices, generation and control of docu­ments, retention of documents, types of documents such as Stand­ard Operating Procedures (SOPs), specifications, batch manufac­turing records and many other mandatory records. For example, Chapter 4.3 specifies that documents should be approved, signed and dated by authorized persons, and the eective date of a document should be defined. In eect, it emphasizes the need for documents to be “attributable”. Chapter 4.7 specifies that entries of records should be made in a clear, legible, indelible way. In eect, this sub­chapter requires records to be “legible”. Chapter 4.8 states that records should be made at the time of action, and be traceable, that is “contemporaneous” recording. In addition, Chapter 4.9 states that any alteration of records should permit reading of orig­inal information and all alterations should be signed and dated. Additionally, the reason(s) for the alteration of records should be highlighted and documented. This is in essence the need to main­tain “original” and “accurate” records.
227
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Manufacture and Supply, Science and Reg ulation Towards High-Qua lity Medicinal Products

8.4. Pharmaceutical Data Integrity and ALCOA

Whether it is the US FDA, PIC/S or World Health Organization GMP standard, it is indeed mandatory for documents, records and data to be ALCOA, namely, Attributable, Legible, Contemporaneous, Original and Accurate, without the GMP standards explicitly saying so. Data Integrity is the degree to which data are ALCOA, making the set of data complete and trustworthy. Assuring data integrity requires Good Documentation Practice for both paper and electronic data, with application of quality risk management and scientific princi­ples, and by people of integrity.
In her book Bottle of Lies published in 2019, author Katherine Eban described vividly and in great detail the data integrity scandal and whistleblowing by Dinesh Thakur, a senior employee of Ranbaxy, then India’s largest pharmaceutical company. In her book, it was revealed that “fraud and trickery had been deeply entrenched in Ranbaxy and there was rampant disregard for pharmaceutical data integrity by the company, including its top management. The com­pany had been fabricating the test results of its medicinal prod­ucts, and endangering millions of patients in India and around the world.” Dinesh Thakur decided to resign and turned whistleblower to the US FDA, which was one of the medicines regulators that Ran­baxy had been dealing with. The book described at great length how the “multibillion-dollar behemoth was ultimately brought down to its knees”. It was a sensational case of how one of the world’s cor­porate success stories fell from grace because of fraud, trickery and disregard for pharmaceutical data integrity.
Good Documentation Practice and Pharmaceutical Data Integ rity
229
Today’s pharmaceutical manufacturing industry is highly glo­balized, automated and computerized. It is important to note that a computerized system comprises not just the hardware and software components. A computerized system includes the associated person­nel, such as the operators or users, process owner, system owner, and the system administrators. A computerized system also includes
rd
the 3 erized system (comprising the hardware, software, people and 3
party suppliers and service providers. Collectively, a comput-
rd
parties) fulfils a specific manufacturing or quality control function. Increasingly, computerized systems are bespoke or customized. They are not purchased o the shelf but are designed on a turnkey
230
Manufacture and Supply, Science and Reg ulation Towards High-Qua lity Medicinal Products
basis for a company or organization, from scratch. Annex 11 of the PIC/S GMP standard covers the topic of Computerized Systems Val­idation. The overarching objectives of Computerized Systems Vali­dation is to ensure the accuracy, reliability and consistency of the computerized system, that is, the ability of the validated computer­ized system to assure data integrity, including discerning authentic data from falsified ones.
Computerized systems in pharmaceutical manufacturing

8.5. Article(s) on Pharmaceutical Data Integrity

In summary, the increasing concerns regarding pharmaceutical data integrity are most probably due to the globalization of the pharmaceutical industry and the associated outsourcing of crit­ical components of manufacturing activities to dierent parts of the world, often with a compromised or diminished inspection oversight. There is a need for the pharmaceutical manufacturing
Good Documentation Practice and Pharmaceutical Data Integ rity
industry to appreciate the impact of computerized systems, digital technologies and organization culture on quality. Robust quality agreements need to be in place to eectively manage outsourcing of activities such as contract testing, analysis and manufacturing. A supply chain is only as strong as its weakest link. And last but not least, there is also a need to be aware of economic dark clouds and downturns which can emerge from time to time. This can erode the quality culture of a company leading to cutting corners, resulting in a PERFECT STORM!
With current strict regulations and GMP standards in place to assure data integrity, why have there been so many concerns regard­ing pharmaceutical data integrity in recent years? It is against this background that the authors and their collaborators published the article entitled “Pharmaceutical Data Integrity: issues, challenges and proposed solutions for manufacturers and inspectors” in GaBI Journal (Volume 9 | 2020 | Issue 4). Copyright © 2020 Pro Pharma Communications International. This article has been reproduced with permission from the publisher of GaBI Journal, and it appears immediately after this introduction.
231
A related section entitled “Computerized Systems, Digital Technol­ogy and Pharmaceutical Data Integrity” is discussed in Chapter 25 on Industry 4.0 and Emerging Trends in Pharmaceutical Manufacturing.