Enhancing Postmarketing Surveillance of Medical Products With Large Language Models.

Importance: The Sentinel System is a key component of the US Food and Drug Administration (FDA) postmarketing safety surveillance commitment and uses clinical health care data to conduct analyses to inform drug labeling and safety communications, FDA advisory committee meetings, and other regulatory decisions. However, observational data are frequently deemed insufficient for reliable evaluation of safety concerns owing to limitations in underlying data or methodology. Advances in large language models (LLMs) provide new opportunities to address some of these limitations. However, careful consideration is necessary for how and where LLMs can be effectively deployed for these purposes. Observations: LLMs may provide new avenues to support signal-identification activities to identify novel adverse event signals from narrative text of electronic health records. These algorithms may be used to support epidemiologic investigations examining the causal relationship between exposure to a medical product and an adverse event through development of probabilistic phenotyping of health outcomes of interest and extraction of information related to important confounding factors. LLMs may perform like traditional natural language processing tools by annotating text with controlled vocabularies with additional tailored training activities. LLMs offer opportunities for enhancing information extraction from adverse event reports, medical literature, and other biomedical knowledge sources. There are several challenges that must be considered when leveraging LLMs for postmarket surveillance. Prompt engineering is needed to ensure that LLM-extracted associations are accurate and specific. LLMs require extensive infrastructure to use, which many health care systems lack, and this can impact diversity, equity, and inclusion, and result in obscuring significant adverse event patterns in some populations. LLMs are known to generate nonfactual statements, which could lead to false positive signals and downstream evaluation activities by the FDA and other entities, incurring substantial cost. Conclusions and Relevance: LLMs represent a novel paradigm that may facilitate generation of information to support medical product postmarket surveillance activities that have not been possible. However, additional work is required to ensure LLMs can be used in a fair and equitable manner, minimize false positive findings, and support the necessary rigor of signal detection needed for regulatory activities.

Overview of global monitoring systems for the side effects and adverse events associated with medicinal cannabis use: a scoping review using a systematic approach.

OBJECTIVES: The use of cannabis-based medicine (CBM) as a therapeutic has surged in Australia over the past 5 years. Historically, the United Nations Single Convention on Narcotic Drugs (1961) prohibited cannabis use in Europe, the USA, the UK and Australia, leading to legislative resistance and limited preclinical data on CBM. Existing safety monitoring systems for CBM are poorly structured and do not integrate well into the workflows of busy health professionals. As a result, postmarketing surveillance is inconsistent. This review aims to evaluate international systems for monitoring CBM side effects and adverse events. DESIGN: To undertake a scoping review with a systematic approach, we used the Population, Intervention, Comparison, Outcome (PICO) framework to develop keyword elements, and two search queries to maximise search sensitivity and specificity. DATA SOURCES: Search queries were entered into Embase and Scopus for peer-reviewed literature, and additional searches for grey literature were conducted on 23 June 2023. ELIGIBILITY CRITERIA: We included 54 full-text articles in the review: 39 from peer-reviewed searches, 8 from grey literature and 7 from citations of relevant texts. DATA EXTRACTION AND SYNTHESIS: Our search yielded two main forms of monitoring systems: databases and registries. Out of the 24 monitoring systems identified, there were 10 databases and 14 registries, with databases often created by regulatory authorities. Systems differed in methods of causality assessment, level of detail collected, terminology and affiliations. RESULTS: Within the monitoring systems with enough published data for analysis, all except one remain active at the time of this review. VigiBase is the largest centralised monitoring system, receiving international case reports, however data heterogeneity persists. CONCLUSIONS: Our study emphasises the need for a centralised, consistent and accessible system for the postmarketing surveillance of side effects and adverse events associated with medicinal cannabis use.

Development of Interoperable Computable Phenotype Algorithms for Adverse Events of Special Interest to Be Used for Biologics Safety Surveillance: Validation Study.

BACKGROUND: Adverse events associated with vaccination have been evaluated by epidemiological studies and more recently have gained additional attention with the emergency use authorization of several COVID-19 vaccines. As part of its responsibility to conduct postmarket surveillance, the US Food and Drug Administration continues to monitor several adverse events of special interest (AESIs) to ensure vaccine safety, including for COVID-19. OBJECTIVE: This study is part of the Biologics Effectiveness and Safety Initiative, which aims to improve the Food and Drug Administration's postmarket surveillance capabilities while minimizing public burden. This study aimed to enhance active surveillance efforts through a rules-based, computable phenotype algorithm to identify 5 AESIs being monitored by the Center for Disease Control and Prevention for COVID-19 or other vaccines: anaphylaxis, Guillain-Barré syndrome, myocarditis/pericarditis, thrombosis with thrombocytopenia syndrome, and febrile seizure. This study examined whether these phenotypes have sufficiently high positive predictive value (PPV) to ensure that the cases selected for surveillance are reasonably likely to be a postbiologic adverse event. This allows patient privacy, and security concerns for the data sharing of patients who had nonadverse events can be properly accounted for when evaluating the cost-benefit aspect of our approach. METHODS: AESI phenotype algorithms were developed to apply to electronic health record data at health provider organizations across the country by querying for standard and interoperable codes. The codes queried in the rules represent symptoms, diagnoses, or treatments of the AESI sourced from published case definitions and input from clinicians. To validate the performance of the algorithms, we applied them to electronic health record data from a US academic health system and provided a sample of cases for clinicians to evaluate. Performance was assessed using PPV. RESULTS: With a PPV of 93.3%, our anaphylaxis algorithm performed the best. The PPVs for our febrile seizure, myocarditis/pericarditis, thrombocytopenia syndrome, and Guillain-Barré syndrome algorithms were 89%, 83.5%, 70.2%, and 47.2%, respectively. CONCLUSIONS: Given our algorithm design and performance, our results support continued research into using interoperable algorithms for widespread AESI postmarket detection.

Trust but Verify: Lessons Learned for the Application of AI to Case-Based Clinical Decision-Making From Postmarketing Drug Safety Assessment at the US Food and Drug Administration.

Adverse drug reactions are a common cause of morbidity in health care. The US Food and Drug Administration (FDA) evaluates individual case safety reports of adverse events (AEs) after submission to the FDA Adverse Event Reporting System as part of its surveillance activities. Over the past decade, the FDA has explored the application of artificial intelligence (AI) to evaluate these reports to improve the efficiency and scientific rigor of the process. However, a gap remains between AI algorithm development and deployment. This viewpoint aims to describe the lessons learned from our experience and research needed to address both general issues in case-based reasoning using AI and specific needs for individual case safety report assessment. Beginning with the recognition that the trustworthiness of the AI algorithm is the main determinant of its acceptance by human experts, we apply the Diffusion of Innovations theory to help explain why certain algorithms for evaluating AEs at the FDA were accepted by safety reviewers and others were not. This analysis reveals that the process by which clinicians decide from case reports whether a drug is likely to cause an AE is not well defined beyond general principles. This makes the development of high performing, transparent, and explainable AI algorithms challenging, leading to a lack of trust by the safety reviewers. Even accounting for the introduction of large language models, the pharmacovigilance community needs an improved understanding of causal inference and of the cognitive framework for determining the causal relationship between a drug and an AE. We describe specific future research directions that underpin facilitating implementation and trust in AI for drug safety applications, including improved methods for measuring and controlling of algorithmic uncertainty, computational reproducibility, and clear articulation of a cognitive framework for causal inference in case-based reasoning.

Regulatory landscape and challenges in CAR-T cell therapy development in the US, EU, Japan, and India.

Chimeric Antigen Receptor-T cell (CAR-T) therapy has evolved as a revolutionary cancer treatment modality, offering remarkable clinical responses by harnessing the power of a patient's immune system to target and eliminate cancer cells. However, the development and commercialization of CAR-T cell therapies are accompanied by complex regulatory requirements and challenges. This therapy falls under the regulatory category of advanced therapy medicinal products. The regulatory framework and approval tools of regenerative medicine, especially CAR-T cell therapies, vary globally. The present work comprehensively analyses the regulatory landscape and challenges in CAR-T cell therapy development in four key regions: the United States, the European Union, Japan, and India. This work explores the unique requirements and considerations for preclinical studies, clinical trial design, manufacturing standards, safety evaluation, and post-marketing surveillance in each jurisdiction. Due to their complex nature, developers and manufacturers face several challenges. In India, despite advancements in treatment protocols and government-sponsorships, there are still several difficulties regarding access to treatment for the increasing number of cancer patients. However, India's first indigenously developed CAR-T cell therapy, NexCAR19, for B-cell lymphoma or leukemia, approved and available at a low cost compared to other available CAR-T therapies, raises great hope in the battle against cancer. Several strategies are proposed to address the identified hurdles from global and Indian perspectives. It discusses the benefits of aligning regulatory requirements across regions, eventually facilitating international development and enabling access to this transformative therapy.

[Erratum in "Point-of-Care Blood Glucose Testing: Post-Market Performance Assessment of the Accu-Chek Inform II Hospital-Use Glucose Meter" (DOI: 10.26442/00403660.2023.12.202522)].

In the article "Point-of-care blood glucose testing: post-market performance assessment of the Accu-Chek Inform II hospital-use glucose meter," published in the Terapevticheskii Arkhiv journal, Vol. 95, No.12, 2023 (DOI: 10.26442/00403660.2023.12.202522), errors were made: the term "measurements at the place of treatment" was changed, as well as the section "Conflict of interest." At the request of the authors' team, errors in the conflict of interest and the wording of the term have been corrected, and the section "Information about the authors" has been updated. The publisher replaced the original version of the published article with the corrected one; the information on the website was also corrected. Correct text of the section "Conflict of interest": Conflict of interest. All authors are not employees or consultants of Roche Diagnostics and have not received any compensation from Roche Diagnostics. Correct wording of the term in Russian: "измерения по месту лечения". Changes were made to the title of the article in Russian: "Измерения глюкозы по месту лечения: пострегистрационное испытание госпитального глюкометра Акку-Чек Информ II", the text of the abstract, keywords, citation, in the text of the article, and abbreviations. Information of the place of work has been updated: Center for Laboratory Diagnostics of the Russian Children Clinical Hospital, a Branch of the Pirogov Russian National Research Medical University. The publisher apologizes to readers and authors for the errors and is confident that the correction of errors will ensure the correct perception and interpretation of the results of the study described in the text.

Online causal inference with application to near real-time post-market vaccine safety surveillance.

Streaming data routinely generated by social networks, mobile or web applications, e-commerce, and electronic health records present new opportunities to monitor the impact of an intervention on an outcome via causal inference methods. However, most existing causal inference methods have been focused on and applied to static data, that is, a fixed data set in which observations are pooled and stored before performing statistical analysis. There is thus a pressing need to turn static causal inference into online causal learning to support near real-time monitoring of treatment effects. In this paper, we present a framework for online estimation and inference of treatment effects that can incorporate new information as it becomes available without revisiting prior observations. We show that, under mild regularity conditions, the proposed online estimator is asymptotically equivalent to the offline oracle estimator obtained by pooling all data. Our proposal is motivated by the need for near real-time vaccine effectiveness and safety monitoring, and our proposed method is applied to a case study on COVID-19 vaccine safety surveillance.

Phase IV Studies: What Clinicians Need to Know!

Phase IV trials, also known as postmarketing safety and efficacy studies and postmarketing surveillance (PMS) studies, occur after a drug or medical device has received regulatory approval and is available in the market. These trials are designed to collect additional information regarding the product's safety, efficacy, and prolonged effects in a larger and more diverse patient population. The foremost goal of phase IV trials is to detect any rare or long-term adverse effects that may not have been identified during the prior phases of clinical development. During phase IV trials, pharmaceutical companies, academic institutions, or other research organizations conduct studies to evaluate various aspects of the product, including its real-world effectiveness, optimal use, and any potential safety concerns. The regulatory agencies play a role in overseeing these trials to ensure that they are conducted ethically and in compliance with good clinical practice (GCP) guidelines.

Premarket Evidence and Postmarketing Requirements for Real-Time Oncology Review Indication Approvals.

This cross-sectional study evaluates the use of the US Food and Drug Administration's Real-Time Oncology Review (RTOR) program in confirming the effectiveness of cancer drugs.

Identifying Drug-Drug Interactions in Spontaneous Reports Utilizing Signal Detection and Biological Plausibility Aspects.

Translational approaches can benefit post-marketing drug safety surveillance through the growing availability of systems pharmacology data. Here, we propose a novel Bayesian framework for identifying drug-drug interaction (DDI) signals and differentiating between individual drug and drug combination signals. This framework is coupled with a systems pharmacology approach for automated biological plausibility assessment. Integrating statistical and biological evidence, our method achieves a 16.5% improvement (AUC: from 0.620 to 0.722) with drug-target-adverse event associations, 16.0% (AUC: from 0.580 to 0.673) with drug enzyme, and 15.0% (AUC: from 0.568 to 0.653) with drug transporter information. Applying this approach to detect potential DDI signals of QT prolongation and rhabdomyolysis within the FDA Adverse Event Reporting System (FAERS), we emphasize the significance of systems pharmacology in enhancing statistical signal detection in pharmacovigilance. Our study showcases the promise of data-driven biological plausibility assessment in the context of challenging post-marketing DDI surveillance.

Lessons learned from a multi-data source research collaboration: The mirabegron post-authorization safety study program.

BACKGROUND: Many factors contribute to developing and conducting a successful multi-data source, non-interventional, post-authorization safety study (NI-PASS) for submission to multiple health authorities. Such studies are often large undertakings; evaluating and sharing lessons learned can provide useful insights to others considering similar studies. OBJECTIVES: We discuss challenges and key methodological and organizational factors that led to the delivery of a successful post-marketing requirement (PMR)/PASS program investigating the risk of cardiovascular and cancer events among users of mirabegron, an oral medication for the treatment of overactive bladder. RESULTS: We provide context and share learnings, including sections on research program collaboration, scientific transparency, organizational approach, mitigation of uncertainty around potential delays, validity of study outcomes, selection of data sources and optimizing patient numbers, choice of comparator groups and enhancing precision of estimates of associations, potential confounding and generalizability of study findings, and interpretation of results. CONCLUSIONS: This large PMR/PASS program was a long-term commitment from all parties and benefited from an effective coordinating center and extensive scientific interactions across research partners, scientific advisory board, study sponsor, and health authorities, and delivered useful learnings related to the design and organization of multi-data source NI-PASS.

Unveiling the future: precision pharmacovigilance in the era of personalized medicine.

In the era of personalized medicine, pharmacovigilance faces new challenges and opportunities, demanding a shift from traditional approaches. This article delves into the evolving landscape of drug safety monitoring in the context of personalized treatments. We aim to provide a succinct reflection on the intersection of tailored therapeutic strategies and vigilant pharmacovigilance practices. We discuss the integration of pharmacogenetics in enhancing drug safety, illustrating how genetic profiling aids in predicting drug responses and adverse reactions. Emphasizing the importance of phase IV-post-marketing surveillance, we explore the limitations of pre-marketing trials and the necessity for a comprehensive approach to drug safety. The article discusses the pivotal role of pharmacogenetics in pre-exposure risk management and the redefinition of pharmacoepidemiological methods for post-exposure surveillance. We highlight the significance of integrating patient-specific genetic profiles in creating personalized medication leaflets and the use of advanced computational methods in data analysis. Additionally, we examine the ethical, privacy, and data security challenges inherent in precision medicine, emphasizing their implications for patient consent and data management.

Diretrizes regulatórias aplicáveis à cadeia dos produtos para saúde / Regulatory guidelines applicable to the chain of medical devices

A ciência e a tecnologia cada vez mais vêm proporcionando avanços em produtos inovadores. Particularmente na área da saúde nota-se eminente sinergismo entre os materiais utilizados, suas propriedades de biocompatibilidade, biofuncionalidade, processabilidade, esterilidade e a área de aplicabilidade no organismo humano. O setor farmacêutico por apresentar grande complexidade exige conhecimentos multidisciplinares, atualizados e em conformidade às tendências internacionais. A Agência Nacional de Vigilância Sanitária (ANVISA) tem sob sua responsabilidade extensa diversidade de bens, serviços e produtos, dentre eles estão os correlatos, que também compreende os produtos para saúde. Os produtos para saúde são classificados conforme o seu risco, no Brasil podendo apresentar até quatro classes, sendo as classes III e IV as que caracterizam maior risco. Para alguns produtos, devido seu risco sanitário, é compulsório a Certificação de Conformidade pelo Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMETRO) previamente a concessão de seu registro sanitário pela ANVISA. Dentre as normas técnicas aplicáveis pelo INMETRO estão as normas da Associação Brasileira de Normas Técnicas (ABNT) e na sua ausência, as normas da International Organization for Standardization (ISO). Outros requisitos técnicos e regulatórios devem ser contemplados com o propósito de comprovação da segurança e eficácia dos produtos. Entretanto, as regulamentações sanitárias inerentes a essa categoria de produtos ainda se encontram incipientes no país. A desenvoltura do setor produtivo nesse segmento pode ser evidenciada pelo aumento de novas solicitações na ANVISA e de seu crescimento na balança comercial. No entanto, observa-se pouco estudo e entendimento do setor regulado e regulador referente à relação mútua entre ANVISA, INMETRO e ABNT e quanto à regulação sanitária aplicável para obtenção da anuência do produto ao consumo. Na conjuntura das demandas apontadas o objetivo deste estudo foi avaliar o processo regulatório aplicável à cadeia produtiva dos produtos para saúde com a finalidade de compreender a relação entre ANVISA, INMETRO e ABNT na garantia da qualidade, segurança e eficácia dos produtos. A metodologia aplicada neste trabalho foi à pesquisa qualitativa. Com o auxílio da pesquisa documental constatou-se que o processo regulatório brasileiro é complexo, específico e robusto e apresenta estrutura e exigências semelhantes dos Estados Unidos e União Europeia. A fiscalização pós-uso é uma tendência internacional e a ANVISA vem adotando com frequência com intuito de acompanhar a qualidade dos produtos comercializados. As três instituições apresentam competências definidas e regulamentadas, bem como mecanismos de inter-relação por meio de conselhos consultivos. O estudo de caso caracterizou que o perfil dos profissionais do setor regulado apresenta em grande percentual formação na área da saúde e nível de pós-graduação, porém o nível de conhecimento dos principais conceitos relativos aos produtos para saúde é parcial, reforçando a necessidade de incentivos de capacitação de recursos humanos em regulação em saúde

The science and technology increasingly been providing advancements in innovative products. Particularly in the health score is eminent synergism between the materials used, their properties of biocompatibility, biofunctionality, processability, sterility and applicability area of the human body. The pharmaceutical sector to present great complexity requires multidisciplinary knowledge, up to date and in line with international trends. The National Health Surveillance Agency (ANVISA) has under its responsibility extensive range of goods, services and products, among them are correlates, which also includes medical devices. Medical devices are classified according to their risk in Brazil may present up to four classes, and classes III and IV which characterize the greatest risk. For some products, because of their health risk, it is compulsory Compliance Certification by the National Institute of Metrology, Quality and Technology (INMETRO) prior to granting its sanitary registry by ANVISA. From among the technical standards the INMETRO are the standards of the Brazilian Association of Technical Standards (ABNT) and in his absence, the standards of the International Organization for Standardization (ISO).Other technical and regulatory requirements must be included for the purpose of proving the safety and efficacy of products. However, the sanitary regulations inherent in this product category is still incipient in the country. The resourcefulness of the productive sector in this segment can be evidenced by the increase in new requests in ANVISA and its growth in the trade balance. However, there is little study and understanding of the regulated and regulatory sector concerning the mutual relationship between ANVISA, INMETRO and ABNT and on the sanitary regulation applicable to obtaining the approval of the product for consumption. In the context of the demands indicated the objective of this study was to evaluate the regulatory procedure applicable to the production chain of medical devices in order to understand the relationship between ANVISA, INMETRO and ABNT in ensuring quality, safety and efficacy of products. The methodology used in this study was the qualitative research. With the assistance of documentary research it was found that the Brazilian regulatory process is complex, specific and robust and has similar structure and requirements of the United States and European Union. The postmarketing monitoring is an international trend and ANVISA has adopted often aiming to monitor the quality of marketed products. The three institutions have defined and regulated competences and interrelation through advisory boards mechanisms. The case study characterized the profile of professionals in the regulated sector has a large percentage of training in health and post-graduate level, but the level of knowledge of the main concepts related to medical devices is partial, reinforcing the need for incentives training of human resources in health regulation

Caracterización de las reacciones adversas medicamentosas en ancianos: Matanzas, 2005-2009 / Characterization of the adverse drug reactions in elder people: Matanzas, 2005-2009

La presente investigación caracterizó las notificaciones de sospechas de reacciones adversas medicamentosas en personas mayores de 60 años, recibidas en la Unidad Coordinadora Provincial de Farmacovigilancia, desde el 1 de enero de 2005 al 31 de diciembre de 2009. Constituyeron objetivos del trabajo la identificación de los grupos farmacológicos que produjeron las reacciones adversas medicamentosas así como los fármacos más comprometidos, la clasificación de las reacciones adversas según la severidad, el mecanismo de producción, el sistema de órgano afectado y el grado de imputabilidad. Se trató de un estudio descriptivo, transversal, donde se utilizaron 521 notificaciones de reacciones adversas medicamentosas que se encontraban en la base de datos de dicha unidad. Los resultados más importantes de la investigación arrojaron, que los grupos farmacológicos con mayor representatividad fueron los antibacterianos, los antihipertensivos y los antiinflamatorios y analgésicos no opioides; los fármacos más frecuentes fueron el captopril, la ciprofloxacina y la nifedipina; las reacciones moderadas ocuparon el mayor por ciento respecto a leves y graves; predominó el mecanismo de producción tipo A; el sistema de órgano más afectado fue el piel y anejos, y el grado de imputabilidad probable fue el encontrado en mayor por ciento.

The current investigation characterized the notifications of adverse drug reactions suspicions in people older than 60 years old, received in the Provincial Coordinating Unit of Pharmaco-surveillance, since January 1st 2005 until December 31st 2009. The objectives of the research were identifying the pharmacologic groups that produced adverse drug reactions and also the most compromised drugs, classifying the adverse reactions according to their seriousness, the producing mechanism, the organ system affected and the imputing level. It was a cross-sectional, descriptive study, where we used 521 notifications of adverse drug reactions stored in the data base of the Unit. The most important results of the research showed that the most representative pharmacologic groups were the antibacterial, the antihypertensive, the anti-inflammatory and the non-opioid analgesic ones; the most frequent drugs were the captopril, the ciprofloxacin and the nifedipine; the moderated reactions showed the highest percent, above the low ones and the serious ones; there it was a predomination of the Type A production mechanism; the most affected organ system was the skin and its related, and the probable imputing level was the one found in a higher percent.

Development and validation of a HPLC analytical assay method for efavirenz tablets: a medicine for HIV infections / Desenvolvimento e validação de um método de ensaio de HPLC analítica para comprimidos de efavirenz: um medicamento para infecções por HIV

Efavirenz is a reverse transcriptase non analog nucleoside inhibitor used to treat HIV infections. A simple assay method by high performance liquid chromatography was developed and validated for efavirenz tablets. The physical chemical characteristics of efavirenz were investigated to developing the method. The method was validated observing the parameters described in USP 29. Analyses were performed by an ultraviolet detector at a 252 nm wavelength, on a reverse-phase column (C18, 250 mm x 3.9 mm, 10 μm), using an isocratic mobile phase containing acetonitrile/water/orthophosphoric acid (70:30:0.1). The validation parameters used were: selectivity, linearity, precision, accuracy, robustness, detection and quantification limits, and all resulting data were treated by a statistical method. The results obtained confirmed an alternative assay method for efavirenz tablets adequate for routine industrial use.

O efavirenz é um inibidor não análogo de nucleosídeo da transcriptase reversa, utilizado no tratamento da infecção por HIV. Um método simples, por cromatografia líquida de alta eficiência, foi desenvolvido e validado para quantificação do efavirenz em comprimidos. O desenvolvimento do método levou em consideração as características físico-químicas do efavirenz. O método foi validado seguindo os parâmetros da USP 29. A análise foi realizada por meio de detector ultravioleta, utilizando um comprimento de onda de 252 nm, com coluna de fase reversa (C18, 250 mm x 3.9 mm, 10 μm) e fase móvel isocrática contendo acetonitrila/água/ácido ortofosfórico (70: 30: 0.1). Os critérios usados para validação foram: seletividade, linearidade, precisão, exatidão, robustez e limites de detecção e quantificação do método. Foi utilizado método estatístico em todas as etapas do processo de validação. Os resultados obtidos mostraram que o método é uma alternativa para quantificação do efavirenz em comprimidos, tornando viável seu uso na rotina industrial e laboratórios analíticos.

Nuclear and mitochondrial DNA markers in traceability of retail beef samples / Marcadores de DNA nuclear e mitocondrial para rastreabilidade da carne bovina comercializada

Several characteristics are important in a traceability system of animal products, such as age at slaughter, breed composition, besides information of the productive chain. In general, the certification agent records information about the animals and the system which it came from, although cannot guarantee that the slaughtering, meat processing and distribution are error proof. Besides, there is a differential price, at least at the international market, based on sex and breed composition of the animals. Genetic markers allow identification of characteristics controlled in the beef cattle traceability program, as sex and breed composition, in order to correctly identify and appraise the final product for the consumer. The hypothesis of this study was that the majority beef samples retailed in the local market originate from female with a great participation of zebu breeds. Therefore, the objective of this work was to characterize retail beef samples with DNA markers that identify cattle sex and breed composition. Within 10 beef shops localized in Pirassununga, SP, Brazil, 61 samples were collected, all were genotyped as harboring Bos taurus mitochondrial DNA and 18 were positive for the Y chromosome amplification (male). For the marker sat1711b-Msp I the frequency of the allele A was 0.278 and for the marker Lhr-Hha I the frequency of the allele T was 0.417. The results of sat1711b-Msp I and Lhr-Hha I allelic frequencies are suggestive that the proportion of indicus genome compared with the taurine genome in the market meat is smaller than the observed in the Nellore breed. The procedure described in this study identified sex and subspecies characteristics of beef meat samples, with potential application in meat products certification in special as an auxiliary tool in beef cattle traceability programs.

Várias características são importantes no sistema de rastreabilidade, como o sexo, a idade, a raça e/ou a composição racial dos animais, além de dados da cadeia produtiva. Em geral, a empresa certificadora dispõe das informações do animal que está sendo abatido, porém não tem condições de garantir se houve erro entre abate, desossa, processamento e a distribuição dos produtos. Existe diferenciação no custo e na qualidade dos produtos cárneos, especialmente no mercado internacional, em virtude do sexo e composição racial dos animais. Os marcadores genéticos permitem identificar as características que são controladas num programa de rastreabilidade bovina tais como sexo e composição racial, permitindo identificar e avaliar corretamente para o consumidor, o produto final. A hipótese deste estudo foi que a maioria das amostras de carne bovina vendida no mercado local seria proveniente de fêmeas e com grande participação de raças Zebu. O objetivo deste trabalho foi caracterizar amostras de carne bovina com marcadores de DNA para identificar o sexo e a composição racial. Em dez pontos comerciais da cidade de Pirasssununga, SP, Brasil, foram coletadas 61 amostras e todas foram genotipadas como possuindo DNA mitocondrial Bos taurus e 18 foram positivos para amplificação do cromossomo Y (macho). Para o marcador sat1711b-Msp I a frequência alélica do A foi 0.278 e para o marcador Lhr-Hha I a frequência alélica do T foi 0.417. Os resultados das frequências alélicas do sat1711b-Msp I e Lhr-Hha I apresentaram menor proporção do genoma Bos indicus em relação ao Bos taurus quando comparado ao rebanho Nelore. Com a metodologia descrita neste trabalho foi possível avaliar o sexo e as características de subespécie das amostras de carne bovina, tendo uma importante aplicação para a certificação de produtos cárneos especialmente, em programas de rastreabilidade animal.

Vigilancia de efectos adversos provocados por medicamentos y técnicas de medicina natural en la población pediátrica / Surveillance of adverse effects caused by drugs and natural medicine techniques in the pediatric population

Los niños deben ser tratados con fármacos que hayan sido apropiadamente evaluados para su uso, aun así, la prescripción de medicamentos puede provocar efectos adversos. Con el objetivo de caracterizar las reacciones adversas por medicamentos y técnicas de medicina natural en menores de 15 años de edad, se analizaron las notificaciones recibidas y procesadas por la Unidad Coordinadora Nacional de Farmacovigilancia en el 2004. Hubo 932 reportes, en recién nacidos solo 11 notificaciones (1,2 por ciento). La mayor cantidad lo aportó la atención primaria de salud (79,8 por ciento), y los médicos con 74,2 por ciento Fue el grupo J (antibióticos sistémicos) el más reportado (65,2 por ciento); la piel el órgano más afectado; predominaron según la clasificación de Rawlins y Thompson las tipo B con 80,2 por ciento; probables el 82,8 por ciento; moderadas y leves el 97,2 por ciento; graves 2,6 por ciento; mortales 0,2 por ciento y raras el 24,7 por ciento. Seguir las reacciones adversas a medicamentos en los niños permite detectar riesgos evitables en esta población.

Children should be treated with drugs that have been appropriately evaluated for their use, even though, the prescription of drugs may cause adverse effects. In order to characterize the adverse reactions by drugs and natural medicine techniques in children under 15, the notifications received and processed by the National Coordinating Pharmacovigilance Unit in 2004, were analyzed. There were 932 reports, and only 11 notifications in newborn infants (1.2 percent). The greatest number came from the primary health care level (79.8), and from physicians (74.2percent ). The group J (systemic antibiotics) was the most reported (65.2 percent); the skin was the most affected body system. According to Rawlins and Thompson's classification it was observed a predominance of type B reactions with 80.2percent ; probable, 82.8percent ; moderate and mild, 97.2 percent; severe, 2.6 percent; mortal, 0.2 percent; and rare, 24.7 percent. Following the adverse reactions in children allow to detect preventable risks in this population.

Resultado de la Farmacovigilancia de vacunas producidas por el Instituto Finlay / Results of the Pharmacovigilance of vaccines produced by Finlay Institute

Las vacunas presentan una probabilidad inmediata de reacciones adversas y se administran a niños sanos dentro del Programa de Inmunización, por ello constituyen un caso especial dentro de la vigilancia farmacológica. La farmacovigilancia es decisiva herramienta de la industria de medicamento para completar la evaluación de riesgos en la fase IV del desarrollo de estos productos a la vez que se garantiza el éxito y seguridad en su utilización dentro de los servicios de salud. La información sobre eventos adversos a vacunas retroalimentan a los centros productores y profesionales sanitarios periódicamente, como parte del sistema de farmacovigilancia cubano. En este artículo se exponen los resultados de la farmacovigilancia de vacunas humanas, en labor conjunta del Centro para el Desarrollo de la Farmacoepidemiología y el Instituto Finlay. Se realizó un estudio de las sospechas de reacciones adversas a vacunas incorporadas a la base de datos nacional de farmacovigilancia hasta el primer semestre del 2006, su frecuencia por dosis administradas de vacunas, y la minería de datos para detectar "señales" entre los eventos reportados hasta el año anterior. Se describen los casos clasificados como severos, las señales detectadas y causalidad. El examen de los eventos mostró la correspondencia de estos con la naturaleza de cada vacuna y de sus componentes. Las señales detectadas en la serie del 2000-2005 fueron validadas por su presencia en los datos del primer semestre 2006. En más de un millón cuatrocientos mil dosis administradas en ese tiempo, hubo un solo caso grave que acumuló 4 eventos adversos de la mayor severidad sin un desenlace fatal. Estos resultados demuestran la seguridad de las vacunas producidas por el Instituto Finlay avalado por los resultados de la vigilancia poscomercialización.

Aplicación de la minería de datos al Sistema Cubano de Farmacovigilancia / Application of data mining to the Cuban Pharmacovigilance System

En el año 1999, se crea la Unidad Nacional Coordinadora de Farmacovigilancia, la cual funciona como el órgano técnico-científico que desarrolla la política de vigilancia de seguridad de medicamentos del Ministerio de Salud Pública e integra las actividades de los centros provinciales y de otros programas concertados de farmacovigilancia en un sistema único. Entre sus funciones más relevantes se encuentran la de definir, diseñar y desarrollar los sistemas de información; administrar la base de datos nacional; depurar y validar la información contenida en ella; y realizar y coordinar estudios científicos sobre la seguridad de los medicamentos; así como elaborar informes para las autoridades sanitarias y el Sistema Nacional de Salud. En este sistema existe la necesidad de utilizar herramientas de análisis, por lo que se trazó el objetivo de definir, diseñar y desarrollar los sistemas de tratamiento de la información y administrar la base de datos nacional "VigiBaseCuba". Aplicando una serie de transformaciones, validaciones y la adecuación de la metodología CRISP-DM para la elaboración de proyectos de minería de datos, se conformó la base de datos nacional, en un sistema de gestión de bases de datos relacional con los registros de las notificaciones de sospechas de reacciones adversas a los medicamentos y un proceso de descubrimiento de conocimiento que permite gestionar eficazmente la seguridad de los medicamentos, así como desarrollar aplicaciones para la visualización de las señales de reacciones adversas y su evolución.