ABSTRACT
The global population is increasingly reliant on vaccines to maintain population health with billions of doses used annually in immunisation programmes. Substandard and falsified vaccines are becoming more prevalent, caused by both the degradation of authentic vaccines but also deliberately falsified vaccine products. These threaten public health, and the increase in vaccine falsification is now a major concern. There is currently no coordinated global infrastructure or screening methods to monitor vaccine supply chains. In this study, we developed and validated a matrix-assisted laser desorption/ionisation-mass spectrometry (MALDI-MS) workflow that used open-source machine learning and statistical analysis to distinguish authentic and falsified vaccines. We validated the method on two different MALDI-MS instruments used worldwide for clinical applications. Our results show that multivariate data modelling and diagnostic mass spectra can be used to distinguish authentic and falsified vaccines providing proof-of-concept that MALDI-MS can be used as a screening tool to monitor vaccine supply chains.
ABSTRACT
Preventing, detecting, and responding to substandard and falsified vaccines is of critical importance for ensuring the safety, efficacy, and public trust in vaccines. This is of heightened importance in context of public health crisis, such as the COVID-19 pandemic, in which extreme world-wide shortages of vaccines provided a fertile ground for exploitation by falsifiers. Here, a proof-of-concept study explored the feasibility of using a handheld Spatially Offset Raman Spectroscopy (SORS) device to authenticate COVID-19 vaccines through rapid analysis of unopened vaccine vials. The results show that SORS can verify the chemical identity of dominant excipients non-invasively through vaccine vial walls. The ability of SORS to identify potentially falsified COVID-19 vaccines was demonstrated by measurement of surrogates for falsified vaccines contained in vaccine vials. In all cases studied, the SORS technique was able to differentiate between surrogate samples from the genuine COVISHIELD™ vaccine. The genuine vaccines tested included samples from six batches across two manufacturing sites to account for any potential variations between batches or manufacturing sites. Batch and manufacturing site variations were insignificant. In conjunction with existing security features, for example on labels and packaging, SORS provided an intrinsic molecular fingerprint of the dominant excipients of the vaccines. The technique could be extended to other COVID-19 and non-COVID-19 vaccines, as well as other liquid medicines. As handheld and portable SORS devices are commercially available and widely used for other purposes, such as airport security, they are rapidly deployable non-invasive screening tools for vaccine authentication.
Subject(s)
COVID-19 , Spectrum Analysis, Raman , Humans , Spectrum Analysis, Raman/methods , COVID-19 Vaccines , Excipients , Pandemics , COVID-19/prevention & controlABSTRACT
INTRODUCTION: Access to quality-assured medicines is an essential prerequisite for universal health coverage, and pharmaceutical distributors play an important role to assure the quality of medicines along the supply chain. METHODS: We retrospectively assessed the compliance with WHO quality standards, that is, the Model Quality Assurance System for Procurement Agencies (MQAS) or the good distribution practices (GDP), of a convenience sample of 75 public, private-for-profit and non-for-profit distributors, audited by QUAMED in 14 low-income and middle-income countries (LMICs) between 2017 and 2019. We calculated the compliance per quality assurance activity, and we defined the percentage of compliant distributors, that is, the percentage (%) of distributors with MQAS or GDP levels of >2 for each activity. RESULTS: The distributors in our sample were mainly private for-profit (66/75). Only one MQAS-audited distributor out of 11 was found compliant with all MQAS-activities, while none out of 64 GDP-assessed distributors were found compliant with all GDP activities. The GDP-assessed distributors were generally less compliant with WHO standards than MQAS-audited distributors. Common weaknesses and strengths were observed. The activities with lowest compliance were quality control, and physical storage conditions, while those with highest compliance were warehouse organisation and stock control. CONCLUSIONS: The quality systems of pharmaceutical distributors in LMICs remain weak. For preventing harm caused by poor-quality medicines, a comprehensive and stringent regulatory oversight should be urgently implemented; the WHO MQAS-standards and GDP-standards should be incorporated in national regulations; and reliable information on the quality systems of distributors (and manufacturers from which they buy) should be publicly available.
Subject(s)
Developing Countries , Pharmaceutical Preparations , Humans , Retrospective StudiesABSTRACT
INTRODUCTION: The rapid globalisation of the pharmaceutical production and distribution has not been supported by harmonisation of regulatory systems worldwide. Thus, the supply systems in low-income and middle-income countries (LMICs) remain exposed to the risk of poor-quality medicines. To contribute to estimating this risk in the private sector in LMICs, we assessed the quality assurance system of a convenient sample of local private pharmaceutical distributors. METHODS: This descriptive study uses secondary data derived from the audits conducted by the QUAMED group at 60 local private pharmaceutical distributors in 13 LMICs. We assessed the distributors' compliance with good distribution practices (GDP), general quality requirements (GQR) and cold chain management (CCM), based on an evaluation tool inspired by the WHO guidelines 'Model Quality Assurance System (MQAS) for procurement agencies'. Descriptive statistics describe the compliance for the whole sample, for distributors in sub-Saharan Africa (SSA) versus those in non-SSA, and for those in low-income countries (LICs) versus middle-income countries (MICs). RESULTS: Local private pharmaceutical distributors in our sample were non-compliant, very low-compliant or low-compliant for GQR (70%), GDP (60%) and CCM (41%). Only 7/60 showed good to full compliance for at least two criteria. Observed compliance varies by geographical region and by income group: maximum values are higher in non-SSA versus SSA and in MICs versus LICs, while minimum values are the same across different groups. CONCLUSION: The poor compliance with WHO quality standards observed in our sample indicates a concrete risk that patients in LMICs are exposed to poor-quality or degraded medicines. Significant investments are needed to strengthen the regulatory supervision, including on private pharmaceutical distributors. An adapted standardised evaluation tool inspired by the WHO MQAS would be helpful for self-evaluation, audit and inspection purposes.