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AC 2005 Vol-1.pdf - Cecmed - Infomed

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119 Trabajo experimental<br />

Collaborative studies<br />

We have been involved in two<br />

collaborative studies. We developed a<br />

collaborative study concerning of the in<br />

vitro potency test for Hepatitis B vaccine<br />

in order to demonstrate that our test could<br />

monitor the manufacturer’s results. We<br />

sent to the Cuban manufacturer (CIGB)<br />

blinded samples of 10 batches and<br />

evaluated whether there was a significant<br />

correlation between both methods. For in<br />

vitro potency test CIGB and our lab used a<br />

method based on the same principle (a<br />

previous neutralization step and a<br />

subsequent ELISA for determining anti-<br />

HbsAg antibodies), but CIGB used their<br />

own reagents [7] meanwhile we used anti-<br />

HbsAg Hepanostika kit from Organon<br />

Teknika [5].<br />

The other collaborative study was a part of<br />

the study (Phase 2) for the characterization<br />

of the candidate WHO reference panel for<br />

Hepatitis B surface antigen (HbsAg). The<br />

Phase 1was performed by the Working<br />

Group on Hepatitis and HIV Diagnostic<br />

Kits by calibration of the most<br />

concentrated panel member against for the<br />

First International Standard for HbsAg<br />

(NIBSC Code 80/549). The aim of this<br />

study was to characterize the reference<br />

panel in a wide range of HbsAg detection<br />

kits, which are in use around the world.<br />

The panel members sent by NIBSC were<br />

reconstituted in 1 mL distilled water as<br />

described in the study Protocol. These<br />

members were treated as typical test<br />

samples and assayed in duplicate as<br />

recommended by the manufacturer [7].<br />

The testing was repeated on three<br />

separated days. Raw data were returned to<br />

NIBSC for processing.<br />

Control Charts<br />

We established a Control Chart for the<br />

Hepatitis B vaccine standard (a Regional<br />

Standard) used for in vitro potency test.<br />

We selected ED 50 of the standard as a<br />

parameter for monitoring the performance<br />

of the potency. The Control Chart was<br />

built using Microsoft Excel and we<br />

analysed the results following the Finney’s<br />

method [8].<br />

Results and Discussion<br />

The implementation of a Quality<br />

Assurance Program is a vital step to ensure<br />

the reliability of test results.<br />

As shown in Tables 1, 2 and 3, the<br />

evaluations performed were successful<br />

because all the criteria of competence were<br />

fulfilled. For Polio test, the difference<br />

between replicates for each vaccine<br />

component (including thermostability) was<br />

no longer than 0.5log10 whereas for<br />

Hepatitis B test the variability between<br />

analysts was lower than 20%<br />

(CV=11.05%). In both cases, the results<br />

were within the expected range.<br />

The impact of training and data review on<br />

the quality control testing is shown in<br />

Table 4. For Polio and Hepatitis B<br />

vaccines, we have performed 111 potency<br />

tests so far, and only the 1.8 % have<br />

resulted non-valid tests.<br />

According to these results, it’s evident<br />

training and data review is a powerful<br />

method for monitoring the operator<br />

performances and assuring the lab results.<br />

As shown in Table 5 we have performed<br />

15 self-inspections, including routine and<br />

follow up inspections. Analysis of Table 5<br />

shows successful compliance of corrective<br />

actions for the majority of Quality System<br />

activities. In the case of equipment, the<br />

lower percent of compliance is due to the<br />

lack of resources to deal with the<br />

deviations detected. In general, this result<br />

is evidence of the capacity of selfinspections<br />

to identify deviations and take<br />

corrective actions. Self - inspections has

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