Presentation on Data Integrity in Pharma

Data Integrity

[email protected]

- Definition & Basics

- Criteria for integrity of laboratory data

- Regulatory Requirements

- Barriers to Complete Data

- Possible data integrity problems

- Previous observations- FDA Warning Letters 2013

- FDA Warning Letters 2014

- FDA 483s related to data integrity

- EU Non compliance Reports

- WHO - Notice of Concern

- Summary of Data Integrity issues

- Consequences

- Rebuilding Trust

- Conclusion

[email protected]

Definition of Data Integrity

Integrity as being the quality or condition of being whole or undivided;

completeness.

In the context of laboratory data integrity within a GMP environment, this can be

defined as

generating, transforming, maintaining and assuring the accuracy, completeness

and consistency of data over its entire life cycle in compliance with applicable

regulations.

Why is Data Integrity Important?

Undermines the safety and efficacy and/or assurance of quality of the drugs that

consumers will take.

Data integrity problems break trust.

We rely largely on trusting the firm to do the right thing when no one is seeing.

Data Integrity What Regulators See

Not recording activities contemporaneously

Backdating

Fabricating data

Copying existing data as new data

Re-running samples

Discarding data

Releasing failing product

Testing into compliance

Not saving electronic or hard copy data

Criteria for integrity of laboratory data

Attributable who acquired the data or performed an action and when?

Legible can you read the data and any laboratory notebook entries?

Contemporaneous documented at the time of the activity

Original written printout or observation or a certified copy thereof

Accurate no errors or editing without documented amendments

Complete all data including any repeat or reanalysis performed on the sample

Consistent all elements of the analysis, such as the sequence of events, follow on and are datedor time stamped in expected sequence

Enduring not recorded on the back of envelopes, cigarette packets, Post-it notes or the sleeves ofa laboratory coat, but in laboratory note books and / or electronic media in the CDS or LIMS

Available for review and audit or inspection over the lifetime of the recordAnalytical scientists need to understand these criteria and apply them in their respective analyticalmethods.

[email protected] Requirements

GMP Regulatory Requirements for Data Integrity

Derived from the laboratory data integrity definition and the applicable 21 CFR 211 GMP regulations there are some of the following points:

Instruments must be qualified and fit for purpose [211.160(b), 211.63]

Software must be validated [211.63]

Any calculations used must be verified [211.68(b)]

Data generated in an analysis must be backed up [211.68(b)]

Reagents and reference solutions are prepared correctly with appropriate records [211.194(c)]

Methods used must be documented and approved [211.160(a)]

Methods must be verified under actual conditions of use [211.194(a)(2)]

Data generated and transformed must meet the criterion of scientific soundness [211.160(a)]

Test data must be accurate and complete and follow procedures [211.194(a)]

Data and the reportable value must be checked by a second individual to ensure accuracy, completeness and conformance with procedures [211.194(a)(8)]

US FDA Regulatory Requirements for Data Integrity

Reference: http://www.fda.gov/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/ucm124787.htm

US FDA Regulatory Requirements for Data Integrity

http://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfcfr/CFRSearch.cfm?CFRPart=11

FDA Regulatory Requirements for Data Integrity

Reference: http://www.fda.gov/ICECI/ComplianceManuals/CompliancePolicyGuidanceManual/ucm073837.htm

FDA Regulatory Requirements for Data Integrity

Reference: http://www.fda.gov/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/ucm124787.htm

European Council Regulatory Requirements

Reference: ec.europa.eu/health/files/eudralex/vol-4/annex11_01-2011_en.pdf

European Council Regulatory Requirements

Reference: http://www.ema.europa.eu/ema/index.jsp?curl=pages/regulation/q_and_a/q_and_a_detail_000027.jsp#section9

MHRA Regulatory Requirements for Data Integrity

Reference:

http://www.mhra.gov.uk/Howweregulate/Medicines/Inspectionandstandards/GoodManufacturingPractice/News/CON355490


Designing systems to assure data quality and integrity

Systems should be designed in a way that encourages compliance with the principles of data

integrity. Examples include:

Access to clocks for recording timed events

Accessibility of batch records at locations where activities take place so that ad hoc data recording

and later transcription to official records is not necessary

Control over blank paper templates for data recording

User access rights which prevent (or audit trail) data amendments

Automated data capture or printers attached to equipment such as balances

Proximity of printers to relevant activities

Access to sampling points (e.g. for water systems)

Access to raw data for staff performing data checking activities.

Schedule L-I: Drugs and Cosmetics (Third Amendment) Rules, 2008

Reference: http://www.drugscontrol.org/pdf/ScheduleL-I.pdf

Health Canada Letter to stakeholders

Reference: http://www.hc-sc.gc.ca/dhp-mps/compli-conform/gmp-bpf/docs/notice-avis-ltr-obligations-eng.php

Application Integrity Policy (AIP)

The Application Integrity Policy is what FDA pulls up when it has questions about a

manufacturers electronic data.

Electronic information includes everything, such as emails, adverse events reports,

complaints, batch records, and quality control recordseverything thats stored

electronically.

Reference: http://www.fda.gov/downloads/ICECI/EnforcementActions/ApplicationIntegrityPolicy/ucm072631.pdf

Barriers to Complete Data

However, data integrity and the lack of complete data over the record retention period can becompromised in a number of ways, such as:

Human errors

when data is entered by mistake (an uncorrected fat finger moment),

stupidity (not being aware of regulatory requirements or poor training) or

willfully (falsification or fraud with the intent to deceive)

Selection of good or passing results to the exclusion of those that are poor or failing

Unauthorized changes to data made post-acquisition

Errors that occur when data is transmitted from one computer to another

Changes to data through software bugs or malware of which the user is not aware

Hardware malfunctions, such as disk crashes

Changes in technology, where one item is replaced when it becomes obsolete or no longersupported, making old records unreadable or inaccessible.

Possible data integrity problems

According to the FDA, the following are possible data integrity problems in the laboratory

that have been observed in the past:

Alteration of raw, original data and records (e.g., the use of correction fluid)

Multiple analyses of assay with the same sample without adequate justification

Manipulation of a poorly defined analytical procedure and associated data analysis in

order to obtain passing results

Backdating stability test results to meet the required commitments

Creating acceptable test results without performing the test

Using test results from previous batches to substitute testing for another batch

[email protected] observations

[email protected] Letters - 2013

Failure to record all quality activities at the time they are performed.

a. On October 26, 2012, the investigator noticed that during an inspection of the packaging areafor (b)(4) #(b)(4) a production employee had recorded the final packed quantity of the batch inStep (b)(4), even though the quantity was not yet known because the operator had not yet weighedthe batch.

Immediately after observing the incident, the investigator requested a copy of page 6 of the batch recordcontaining Step (b)(4) and was given a photocopy. A full batch record provided later that day did notinclude the original page 6. Instead it included a new version of page 6.

b. The investigator observed at least two examples when a manufacturing step was recorded in thebatch record before it occurred:

i. The production operator had already recorded the start time for step (b)(4) for (b)(4) #(b)(4) as 12:15PM on October 26, 2012, although it was still 11:00 AM when our investigator noticed this situation.

ii. For the (b)(4) # (b)(4), at approximately 11:00 AM on the same date, a production officer had alreadyrecorded (b)(4) of (b)(4) used for (b)(4) the API (b)(4) in the (b)(4) at step (b)(4) in the batch productionrecord, although the (b)(4) step had not yet occurred. The (b)(4) had not been pre-weighed or otherwisemeasured out in advance.

Reference : WL: 320-13-22 / Aarti Drugs Limited 7/30/13

Failure to record all quality activities at the time they are performed.

c. On October 27, 2012, our investigator noticed that a QC analyst was performing a Loss on Drying(LOD) analysis for (b)(4) Lot # (b)(4) and had recorded the completion time as "(b)(4)" and total timeas "(b)(4)" in the usage log book for the LOD oven usage logbook although the step was not yetcompleted.

d. The investigator observed that a QC analyst had recorded completion times of laboratory analysesthat had not yet occurred. Specifically, a Loss on Drying (LOD) analysis was performed for (b)(4) Lot#(b)(4) and (b)(4) Lot #(b)(4) at approximately 10:55 AM.

The investigator noted that the analyst had already recorded the completion time as "(b)(4)" fortwo (b)(4) samples and "(b)(4)" for one (b)(4)sample although the step was not yet completed.

Our investigator asked the analyst why he recorded the completion time for each of the threesamples if the step was still in progress.

The analyst did not offer an explanation. Moreover, our investigator also found that weights for thesethree samples were recorded on blank pieces of paper and not directly onto the test data sheets.


Failure to maintain laboratory control records with complete data derived from alltests conducted to ensure compliance with established specifications andstandards, including examinations and assays..

b. The inspection at this facility documented that there is no raw data for the related

substance preparation of (b)(4) testing for lots (b)(4) of (b)(4) USP and there is no raw

data for the standard and sample preparation for the residual solvent testing of the same

lots.

When weighing samples, reagents, and other laboratory materials, QC analysts write weight

values on small pieces of paper, transcribe the values onto the analytical worksheets, and

then destroy the original paper on which the weights are written.

This was reported to be a normal practice within the laboratory. Our investigator also

observed the practice of writing the weight values for samples on a small piece of paper

and not on the analytical worksheet. This is an inappropriate documentation practice.


We observed and documented practices during the inspection that kept somesamples, data and results outside of the local systems for assessing quality. Thisraises serious concerns regarding the integrity and reliability of the data generated.

For example,

a. Our review of the Chromeleon and Empower II software found that your firm was testingsamples unofficially, and not reporting all results obtained. Specifically, test, trial anddemo injections of intermediate and final API samples were performed, prior to performingthe tests that would be reported as the final QC results.

b. Out-of-specification or undesirable results were ignored and not investigated.

c. Samples were retested without a record of the reason for the retest or aninvestigation. Only passing results were considered valid, and were used to releasebatches of APIs intended for US distribution.

d. Unacceptable practices in the management of electronic data were also noted. Themanagement of electronic data permitted unauthorized changes, as digital computerfolders and files could be easily altered or deleted.

Reference : WL: 320-13-20 / Fresenius Kabi Oncology Ltd 7/1/13

Failure to follow and document quality-related activities at the time they areperformed.

During this inspection, your QC Chemist admitted that, under the direction of a senior colleague, he

had recorded false visual examination data in the logbooks for reserve samples. This QC Chemist

was responsible for multiple entries in the (b)(4) API logbooks.

Your firms failure to prevent, detect, and rectify the falsification of your GMP documentation is

concerning. In response to this letter, describe your investigation into this misconduct and clearly

explain how you determined the extent of the data falsification. Describe the role of the senior

colleague who advised the QC Chemist during this incident. Also describe your plans for and

outcome of a thorough investigation into data integrity at your facility, both in documents produced

by the QC Chemist involved in this incident and by all other personnel at your site.

Our inspection also found that your laboratory failed to take note of a trend in the total impurity test

results reported for this API. A striking number of the long term room temperature stability results

show a drop in the total impurities result (for the most recent test) regardless of whether that is the

12, 24, 36, 40 or 48 month test interval.

Reference : WL: 320-13-23 / Posh Chemicals Private Limited 8/2/13

Your firm failed to ensure that laboratory records included complete data derived fromall tests necessary to assure compliance with established specifications andstandards (21 CFR 211.194(a)).

For example, your firm did not retain any raw data related to sample weights and samplesolution preparations for the HPLC assays of (b)(4) tablet batches (b)(4) and (b)(4) thatyou conducted on July 18, 2012. In addition, you did not include those results in thecalculation of the final assay values. Instead, you repeated the analysis the next day usinga new set of sample solutions, and reported the retest results on the certificates of analysis(COAs). Other examples were also noted during the inspection.

In response to the FDA-483, you conducted a retrospective investigation and concludedthat the analyst realized he recorded the initial data incorrectly in the HPLC trial folderinstead of the regular folder. Thus, he repeated the test the next day using the samesample solutions. However, your QC manager stated during the inspection that the initialinjections were trial runs, and that performing trial standard and sample analysis prior toofficial analysis is a standard practice in your QC laboratory. Moreover, our review of thefinal QC worksheet revealed that you prepared the new retest samples on July 19, 2012,the day after you performed the trial injections. (Continued )

Reference : WL: 320-13-17 / RPG Life Sciences Limited 5/28/13

Your firm failed to ensure that laboratory records included complete data derived fromall tests necessary to assure compliance with established specifications andstandards (21 CFR 211.194(a)).

Our investigator also observed (b)(4) trial HPLC injections during the period of January 5,

2012 to November 16, 2012. Your response acknowledged that a number of these trial

injections involved sample testing. However, you provided no evidence that your firm

retained laboratory records and raw data associated with these sample tests.

Additionally, during an audit of the data submitted in support of

the (b)(4) regarding (b)(4) tablets USP (b)(4) mg, our investigator requested to review the

electronic analytical raw data to compare the values for (b)(4) assay and degradation

products. However, your firm provided only the printed copies of the raw data because

your firm did not have the software program available to view the electronic raw data.


Your firm failed to exercise appropriate controls over computer or related systems to assure that onlyauthorized personnel institute changes in master production and control records, or other records (21CFR 211.68(b)).

For example, you analyzed (b)(4) API lot (b)(4) on February 14, 2011, at 2:55 a.m., and then

retested it at 2:05 p.m. using a new sample solution. You did not maintain any raw data associated

with the initial test.

In your response, you stated that the retest was performed due to data deletion of the original

analysis. You concluded that the analyst misused the administrator password to delete and overwrite

the actual data logged in the audit trail. The ability of your analysts to alter and delete electronic

analytical data raises serious concerns regarding laboratory controls in place at your facility.

During the inspection, our investigator also identified a backdated QC worksheet in the analytical

report of (b)(4)API raw material batch (b)(4). When your analyst affixed the related substance and

IR weight printouts to the Format for Blank Sheet for Printout (Format No. F2/QCD/F/026-00), he

signed and dated this worksheet as July 29, 2011. A second analyst, who reviewed this worksheet,

also signed and dated it as July 29, 2011. However, your QA department did not issue this

worksheet until July 31, 2011. Your analyst acknowledged during the inspection that he backdated

this worksheet on July 31, 2011.


Your firm failed to exercise appropriate controls over computer or related systems to assure that onlyauthorized personnel institute changes in master production and control records, or other records (21CFR 211.68(b)).

For example, you analyzed (b)(4) API lot (b)(4) on February 14, 2011, at 2:55 a.m., and then retested it at2:05 p.m. using a new sample solution. You did not maintain any raw data associated with the initial test.

In your response, you stated that the retest was performed due to data deletion of the originalanalysis. You concluded that the analyst misused the administrator password to delete and overwrite theactual data logged in the audit trail. The ability of your analysts to alter and delete electronic analyticaldata raises serious concerns regarding laboratory controls in place at your facility.

During the inspection, our investigator also identified a backdated QC worksheet in the analytical reportof (b)(4)API raw material batch (b)(4). When your analyst affixed the related substance and IR weightprintouts to the Format for Blank Sheet for Printout (Format No. F2/QCD/F/026-00), he signed and datedthis worksheet as July 29, 2011. A second analyst, who reviewed this worksheet, also signed and dated itas July 29, 2011. However, your QA department did not issue this worksheet until July 31, 2011. Youranalyst acknowledged during the inspection that he backdated this worksheet on July 31, 2011.

Your response stated that the analyst incorrectly dated the worksheet as July 29, 2011, instead of July31, 2011, and that there was no intention to deliberately backdate the document. However, your responsecontradicted your analysts backdating admittance during the inspection. In addition, your response didnot explain the reviewers signature which was also dated July 29, 2011. Backdating documents is anunacceptable practice and raises doubt about the validity of your firm's records.


Your firm failed to follow written procedures for production and process control designed to assure thatthe drug products you manufacture have the identity, strength, quality, and purity they purport or arerepresented to possess, and to document same at the time of performance (21 CFR 211.100(b)).

Poor documentation practices during in-process testing. Specifically, an operator

performed the in-process tablet (b)(4) testing for the (b)(4) mg tablet batch #(b)(4)without

the batch record or a manufacturing form to document the results contemporaneously. The

FDA investigator was informed that the pre-test and post-test weight values are

documented in the batch record located in a separate manufacturing room rather than in

the same room where the actual weights are measured. Moreover, your operator stated

that he records the two weights with (b)(4) significant figures into the batch record from

memory.

Additionally, the investigator noticed that the balance used in production was not level,

which can result in inaccurate weights. The investigator asked how long the balance had

not been level, and you indicated that you would investigate the matter and respond to the

investigator. To date, you have not responded to FDA explaining your resolution of this

matter.

Reference : WL: 320-14-01 / Wockhardt Limited 11/25/13

[email protected] Letters - 2014

Your firm failed to exercise appropriate controls over computer or related systems to assure that onlyauthorized personnel institute changes in master production and control records, or other records (21C.F.R. 211.68(b))

Your firm failed to have adequate procedures for the use of computerized systems in the

quality control (QC) laboratory. Our inspection team found that current computer users in

the laboratory were able to delete data from analyses. Notably, we also found that the

audit trail function for the gas chromatograph (GC) and the X-Ray Diffraction (XRD)

systems was disabled at the time of the inspection. Therefore, your firm lacks records for

the acquisition, or modification, of laboratory data.

Moreover, greater than (b)(4) QC laboratory personnel shared (b)(4) login IDs

for (b)(4) high performance liquid chromatographs (HPLC) units. In addition, your

laboratory staff shared one login ID for the XRD unit. Analysts also shared the username

and password for the Windows operating system for the (b)(4) GC workstations and no

computer lock mechanism had been configured to prevent unauthorized access to the

operating systems. Additionally, there was no procedure for the backup and protection

of data on the GC standalone workstations.

Reference : WL: 320-14-03 / USV Limited 2/6/14

Failure to maintain complete data derived from all laboratory tests conducted to ensure compliancewith established specifications and standards.

Your firm failed to prevent raw data from being deleted from the Atomic Absorption

Spectrophotometer (AAS) used for elemental analysis testing.

Specifically, our investigation found laboratory analysts had access to delete and overwrite

AAS raw data. This instrument did not have sufficient controls to prevent unauthorized

access to, changes to, or omission of data files and folders.

This is especially concerning because our inspection uncovered only 38 raw data files on

the hard drive of the AAS, while analysts stated that the AAS had been used for over 400

analyses. Your firm failed to store the raw data elsewhere.

Therefore, all AAS testing results for which no raw data exists are in doubt. Your firms

improper control over the laboratory records raises concerns about the quality of the APIs

your firm has released.

Reference : WL: 320-14-04 / Canton Laboratories Pvt. Ltd. 2/27/14


Your firm lacked accurate raw laboratory data records for API batches shipped by your firm. The

inspection revealed that batch samples were retested until acceptable results were obtained. In

addition, your quality control (QC) laboratory failed to include complete data on QC testing

sheets. Failing or otherwise atypical results were not included in the official laboratory control

records, not reported, and not investigated. For example,

A review of the Gas Chromatograph (GC) electronic records from July 13, 2013, for (b)(4) USP

batch #(b)(4)revealed an out-of-specification (OOS) result for the limit of residual solvents that was

not reported. However, the QC test data sheet included passing results obtained from samples

tested on July 14, 2013 and July 15, 2013. The inspection documented that your firm discarded

sample preparation raw data related to the OOS results. In your response you indicate that the

electronic chromatographic data and the weighing log books were available and reviewed during the

inspection. However, the raw data and sample preparation information used for the calculation of the

test results that were found OOS or disregarded were not in fact available for review.

Reference : WL: 320-14-11 / Apotex Pharmachem India Pvt Ltd. 6/16/14


A review of the High Performance Liquid Chromatograph (HPLC) electronic records from July 3,

2013, for (b)(4)batch #(b)(4) revealed an Out-of-Trend (OOT) result. The sample preparation raw

data was discarded and not reported. A QC analyst indicated that these results were discarded due

to some small extra peaks identified in the chromatogram fingerprint and an unexpected high assay

result. The QC test data sheet reported two new results that were obtained from samples tested on

July 4, 2013 and July 5, 2013, using a different HPLC instrument.

A review of the Karl Fischer electronic records from November 21, 2013, for (b)(4) EP batch

#(b)(4) revealed an OOS result that was not reported. The passing results reported on the data

sheets were generated from another sample tested an hour after the initial OOS results were

obtained on the same day, November 21, 2013.


Failure to record activities at the time they are performed.

Specifically, your staff used finished product reports review data worksheets to document critical laboratory

information days after the actual testing was performed. The worksheets reported observations from your firms

secondary reviewer, and next to each of these listed observations the analyst marked them as corrected. A

review of these worksheets revealed that your analysts did not always record data in the laboratory records in a

contemporaneous manner as noted in the following examples:

(b)(4) USP batch #(b)(4) worksheet dated September 18, 2013, reports sample wt. taken wrongly." However,

the correction to the stability data sheet for this lot gives the appearance that sample weighing was performed

on August 10, 2013.

(b)(4) USP batch #(b)(4) worksheet dated September 19, 2013, reports all tests completed but appearance not

reported. However, the correction to the test record indicates the test was performed on September 15, 2013,

the date of the original testing.

(b)(4)% batch #(b)(4) worksheet dated June 11, 2013, reports resolution b/t (b)(4) & (b)(4) in ID std not in

working std & it is (b)(4) not (b)(4). However, the correction to the stability test data sheet for this lot gives the

appearance that the resolution was performed on June 9, 2013


Failure to manage laboratory systems with sufficient controls to ensure conformance to establishedspecifications and prevent omission of data.

Our inspection revealed serious deficiencies related to your documentation practices, including

missing raw data. It is a basic responsibility of your quality unit to ensure that your firm retains the

supporting raw data that demonstrates your APIs meet specifications that they are purported to

possess.

For example, during the inspection, our investigator found a chromatogram related to (b)(4), API in

the trash, dated October 15, 2013, which reported an additional chromatographic peak when

compared to the standard. During the inspection, your firm stated that the analyst discarded the

chromatogram because it was present in the blank injection. However, the analyst was unable to

retrieve the blank chromatogram from the system because it was overwritten by a subsequent

injection.

Reference : WL: 320-15-04 / Novacyl Wuxi Pharmaceutical Co., Ltd. 12/19/14

Failure to manage laboratory systems with sufficient controls to ensure conformance to establishedspecifications and prevent omission of data.

In addition, the inspection documented that your firm made changes to integration parameters for the impurities

test without appropriate documentation or justification. Your firm relied upon hand written notes on a

chromatogram discovered in a drawer at the laboratory as the documentation for this change. Furthermore,

your firm implemented this change without an audit trail that would have captured the date of the change and

who made the change.

Other significant deficiencies noted in your laboratory system include:

a) Failure to have a written procedure for manual integration despite its prevalence.

b) Failure to use separate passwords for each analysts access to the laboratory systems.

c) Use of uncontrolled worksheets for raw analytical data in your laboratory.

d) Presence of many uncontrolled chromatograms, spreadsheets and notes of unknown origin found in a

drawer.

The lack of controls on method performance and inadequate controls on the integrity of the data collected raise

questions as to the authenticity and reliability of your data and the quality of the APIs you produce.

Reference : WL: 320-15-04 / Novacyl Wuxi Pharmaceutical Co., Ltd. 12/19/14

Failure to document manufacturing operations at the time they are performed.

When reviewing the entries in your (b)(4) use, cleaning, and maintenance logbook for the days immediately

prior to the inspection, our investigator found missing entries. Your operators stated that lines were left blank to

later add information about cleaning events that may have occurred during a previous shift.

During the inspection, our investigator found other similar instances of missing data or belated data entry in

your manufacturing records. These practices are not consistent with CGMP.

Operators acknowledged that there is no system in place to report these lapses in the documentation system;

documentation errors of this type did not require deviation investigations or notification to the Quality Unit.

In addition, during the inspection, one of your quality unit employees presented the investigator with a batch

record containing his signature, stating that he had performed the review of this batch record.

The employee later admitted that he had falsified this CGMP record and stated that he in fact had not

performed the review, despite having signed the batch record as the QA reviewer and having released the

batch. This data falsification and the record-keeping deficiencies described above raise doubt regarding the

validity of your firms records.

Reference : WL: 320-14-12 / Zhejiang Jiuzhou Pharmaceutical Co., Ltd. 7/9/14

[email protected] related to data integrity

483s Related to Data Integrity

Reference : Ranbaxy Laboratories Limited Toansa Jan-2014

483s Related to Data Integrity

Reference : Impax Laboratories Inc. Jul-2014

[email protected] Non compliance Reports

EU Non Compliance Reports

Firm Name Observation

Smruthi Organics Limited Feb

2014

There was no raw data available in the Quality control laboratory for the verification of

compendial analytical methods.

Smruthi Organics Limited Jan

2014

Manipulation and falsification of documents and data were observed in different

departments ;

Medreich Limited Unit V 1 deficiency related to data falsification has been classified as "critical" .

IND-SWIFT LIMITED, Punjab;

Mar 2014

It was not possible to confirm the validity of stability testing data. Several falsified and

inaccurate results had been reported in long term stability and batch testing.

Discrepancies between electronic data and those results formally reported were

identified.

Established processes to verify data accuracy and integrity had failed and there had

been no formal investigation raised by the company.

The company provided commitments to address the data integrity concerns and initiated

a wider review of quality critical data. Additional discrepancies were identified in process

validation and release data.

During on-going communications with the licensing authority regarding the data review,

the company failed to disclose data integrity issues for all products. No satisfactory

explanation was given for this discrepancy.



Zeta Analytical Ltd, UK; Jan

2014

It could not be confirmed who had conducted the testing or when because of

discrepancies in the raw data; consequently staff competence could not be confirmed.

Raw data were not being recorded contemporaneously nor by the performing analyst.

Failed HPLC injections of QC standards in place to demonstrate the correct operation

of the HPLC were deleted, repeated many hours after the original analysis and re-

inserted into the analytical sequence without explanation invalidating the batch

data. The company provided commitments to address the data traceability concerns.

Seikagaku Corporation,

Japan; Apr 2014

The critical deficiency concerns systematic rewriting/manipulation of documents,

including QC raw data.

The company has not been able to provide acceptable investigations and explanations

to the differences seen in official and non-official versions of the same documents.

Renown Pharmaceuticals Pvt.

Ltd., Gujarat, India; Aug 2014

Record integrity and veracity: some records were made up or altered.

Defects on deviation recording and investigation.

Lack of mechanisms to ensure integrity of analytical data.



North China Pharmaceutical

Group Semisyntech Co., Ltd,

China, Jan 2015

Lack of data integrity in the QC laboratory (No access control, inadequate traceability

and archiving practices, no audit trail, no restriction on the deleting of data, etc.) and

falsification of the analytical results for residual solvents;

Zhejiang Apeloa Kangyu Bio-

Pharmaceutical Co. Ltd.,

China; Nov 2014

The company failed to establish a procedure to identify and validate GMP-relevant

computerized systems in general.

Two batch analysis reports for Colistin Sulfate proved to be manipulated.

HPLC chromatograms had been copied from previous batches and renamed with

different batch and file names.

Several electronically stored HPLC runs had not been entered into the equipment log

books. The nature of these data could not finally been clarified.

Neither the individual workstation nor the central server had been adequately protected

against uncontrolled deletion or change of data.

The transfer of data between workstations and server showed to be incomplete.

No audit trail and no consistency checks had been implemented to prevent misuse of

data.

Hebei Dongfeng

Pharmaceutical Co., Ltd,

China; Sep 2014

Data recording and integrity in the QC laboratory



Sri Krishna Pharmaceuticals

Ltd., Hyderabad, India, Dec

2014

1. Drug products failing to meet established quality control criteria are not rejected. In

particular:

a) analysts routinely use the PC administrator privileges to set the controlling time and date

settings back to over-write previously collected failing and/or undesirable sample results.

This practice is performed until passing and/or desirable results are achieved;

b) Analysts routinely perform trial injections of sample aliquots prior to performing the

official/reported analysis. There are no documented sample preparation details for these

trial analyses. The results of these trial injections are not reported, and were found to

differ significantly from the subsequent reported results;

c) Analysts routinely perform trial injections of sample aliquots prior to performing the

official/reported analysis. The resulting raw data chromatogram files were often found to

have been deleted and unavailable for review;

d) Analysts delete undesirable and/or failing results (entire sample sequences) and retest

samples until desirable results are achieved.



Taishan City Chemical

Pharmaceutical Co. Ltd.,

China, Nov 2014

Insufficient securisation of the electronic raw data in the Quality Control laboratory (No

limitation of access levels, no restriction on the deleting of data, no audit trail, inadequate

traceability and archiving practises);

Fujian South Pharmaceutical,

China, Oct 2014

The inspection team tried to verify some regulatory information requested during the

assessment of the dossier and reached the conclusion that fundamental GMP and

regulatory requirements such as loss of data integrity, combined with insufficient

management of data, change control system, supplier qualification, laboratory controls

as well as the accuracy of data submitted, were not adequately implemented/considered

because of a weakness of the QA system and regulatory affairs department;

Severe GMP violations related to the implementation of sound computerised systems in

the quality control facilities were committed, that could lead/could have led to the

falsification of data. It was impossible to verify that the decision to approve raw material

and final API was based on valid and accurate data;



Wockhardt - NANI

DAMAN, India Oct 2013

Quality Control deficiencies including; inadequate records, lack of specificity in analytical

methods, failure to investigate unknown peaks and non-compliance with MA details.

Wockhardt Limited, India,

Jun 2014

The deficiency related to data integrity, deleted electronic files with no explanation, the

running of trial testing prior to performing system suitability and the formal testing and a

loss of control of reconciliation of samples such as those used for additional testing could not

be traced.

Wockhardt Limited, Nani

Daman, India Oct 2014

Issues were identified which compromised the integrity of analytical data produced by the QC

department. Evidence was seen of data falsification.

A significant number of product stability data results reported in the Product Quality Reviews

had been fabricated. Neither hard copy nor electronic records were available.

In addition issues were seen with HPLC electronic data indicating un-authorised manipulation

of data and incidents of unreported trial runs prior to reported analytical runs.

Wockhardt Limited,

Aurangabad, Jan 2015

A critical deficiency was cited with regards to data integrity of GMP records, entries were

seen to be made when personnel were not present on site, documentation was seen that

was not completed contemporaneously despite appearing to be completed in this manner.

[email protected] Notice of Concern

WHO NOC : Microlabs, Hosur

[email protected] of Data Integrity issues

Summary of Data Integrity issues

Employees signing as completing manufacturing steps were not on premises at the time the steps were completed

Data was removed and new data was added

Employee scraped off entries with hand-made tool

Making up Batch records during an FDA inspection

BPRs

Making up Training records during an FDA inspection

Firm had no CGMP trainingTraining

Testing conducted late but recorded as being tested on time

No samples available, however testing data was generatedStability


Employee used same sample for identity testing on a regular basis

Unlabeled or partially labeled vials dumped down the drain

No samples available, however testing data was generatedSamples

Test results for one batch were used to release other batches

Releasing product with known contaminants

Repacking failed product without assessing impact of failure; Repacked product was released

Data supporting test results was missing

Quality control

Growth on microbiological plates was observed and recorded as no growthMicrobiol

ogy


Employee used same sample for identity testing on a regular basis

Unlabeled or partially labeled vials dumped down the drain

No samples available, however testing data was generatedSamples

Test results for one batch were used to release other batches

Releasing product with known contaminants

Repacking failed product without assessing impact of failure; Repacked product was released

Data supporting test results was missing

Quality control

Growth on microbiological plates was observed and recorded as no growthMicrobiology


No raw data for Standard preparation

No raw data for Sample weights

No raw data for Sample solution preparation and sample dilutions

Sample and reagent weights are written on small pieces of paper and

transcribed onto analytical worksheets Then, small pieces of paper were

discarded

Destruction of raw data not meeting specification

Missing raw data

Re-writing laboratory notebooks

Unjustified invalidation of data and re-testing without a laboratory investigation

Raw data found in the garbage

Raw

Data


Pre / post dating of the records.

Failure to use approved procedures.

Recording / Signing for others

Re-writing the records without authorization.

Failure to report / document a discrepancy.

Failure to retain raw data / records.

Do

cu

men

tati

on


Out-of-specification or undesirable results were ignored and not

investigated

Re-testing without justification

Product released despite failing sterility testing

Failing or suspect HPLC assay results are overwritten

Evidence did not support the reason to invalidate the dissolution test

results

Dissolution data discarded with no investigation

Investi

gati

on

Data


HPLC integration parameters were changed and re-run until passing

results were obtained

Audit trail function was disabled.

Unofficial testing of samples with file names like test, trial, or demo

There are no controls to prohibit unauthorized changes to electronic

data / inadequate access controls.

Files were saved on personal computers instead of a network

Sharing passwords / unauthorized access.

Lack of security on electronic data systems.

Failure to maintain back-up of electronic data.

Ele

ctr

on

ic D

ata

[email protected]

Consequences of Data Integrity

Loss of Trust

Recalls

Form 483

Warning or Untitled Letter

Import Alert

Injunction

Seizure

Application Integrity Policy Invocation

Non-compliance Report

Notice of Concern

Loss of job

Loss of business

Loss of Money

[email protected] Trust

Data Integrity Rebuilding Trust

Know the Regulations & Intensity of Data integrity

Perform a GAP Analysis

Determine the scope of the problem / Detect the integrity

Implement a corrective action plan (global) & Prevent the Integrity

Remove individuals responsible for problems from CGMP positions

Complete a satisfactory inspection

GAP Analysis

Perform GAP analysis by

brainstorming with cross

functional team to identify and

prevent the data integrity

issues.

Review System

Identify gap

Change control process

Develop, Training & implement

ion

Implications

Recommendations

Detecting & Preventing Data Integrity issues

Increase the frequency of review

Do surprise / spot checks

Have a procedure & check list for review mechanism

Compare hand writing styles / signatures.

Verify attendance / presence of the person.

Verify the traceability & log book entries.

Internal / external audits.

Trend the observations & provide the training

Revie

w S

yste

m


Define a clear policy / procedure on various activities (e.g.

Password policy)

Have clear procedure and controls over the electronic data /

software administration.

Cross check Privileges Vs. Job responsibilities.

Check the adequacy of the procedures.

Po

licie

s &

Pro

ced

ure

s


Strategic planning

Determine the level of compliance that we are seeking

Identify the weaknesses and strengths in our computerizedsystems

Conduct an inventory of our systems

Determine if the system must comply with Part 11

Conduct the assessment using a checklist or spreadsheet

Provide documented justification if certain system are exemptfrom Part 11

Implement and execute a remediation plan

Conduct the required follow-up as warranted.

Part

11 G

AP

Assessm

en

t

[email protected]

Conclusion

The integrity of data generated by any regulated laboratory is a prime factor in

determining the credibility of that laboratory.

The finding of a single instance where data integrity is compromised casts a shadow

over the whole of the data generated.

Remember that inspections and audits can only sample, finding one instance of

falsification raises the question of how many more instances of non-compliances exist?

Therefore, ensuring data integrity is of major importance to analytical scientists,

managers and quality assurance of any organization, as the consequences of getting it

wrong are very costly and it will take a long time to rebuild regulatory trust.

Conclusion

The extended FDA regulation and draft guidance now also impact the laboratory data

integrity issue, as failure to provide complete records means that any drugs are now

classified as adulterated under the new extension of the Food Drug and Cosmetic Act as

amended in 2012.

Data integrity issue is prevalent globally and not merely India centric. If the pharmaceutical

industry in the country is engaged in the production of life-saving drugs then it cannot afford

to be negligent.

We need to be careful and it is absolutely fair by global regulators to keep tabs on this.

Therefore it is not that India pharmaceutical companies are targeted by the global regulators

[email protected]

Data Integrity Part II is continued . as Presentation on Chromatography Data System (CDS)

http://www.slideshare.net/skvemula/chromatography-data-system-cds-in-pharma

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Documents

Presentation on Data Integrity in Pharma