Application of genomics, proteomics and metabolomics in drug discovery, development and clinic

Genomics, proteomics and metabolomics are three areas that are routinely applied throughout the drug-development process as well as after a product enters the market. This review discusses all three 'omics, reporting on the key applications, techniques, recent advances and expectations of each. Genomics, mainly through the use of novel and next-generation sequencing techniques, has advanced areas of drug discovery and development through the comparative assessment of normal and diseased-state tissues, transcription and/or expression profiling, side-effect profiling, pharmacogenomics and the identification of biomarkers. Proteomics, through techniques including isotope coded affinity tags, stable isotopic labeling by amino acids in cell culture, isobaric tags for relative and absolute quantification, multidirectional protein identification technology, activity-based probes, protein/peptide arrays, phage displays and two-hybrid systems is utilized in multiple areas through the drug development pipeline including target and lead identification, compound optimization, throughout the clinical trials process and after market analysis. Metabolomics, although the most recent and least developed of the three 'omics considered in this review, provides a significant contribution to drug development through systems biology approaches. Already implemented to some degree in the drug-discovery industry and used in applications spanning target identification through to toxicological analysis, metabolic network understanding is essential in generating future discoveries.

Application of genomics, proteomics and metabolomics in drug discovery, development and clinic

Genomics, proteomics and metabolomics are three areas that are routinely applied throughout the drug-development process as well as after a product enters the market. This review discusses all three 'omics, reporting on the key applications, techniques, recent advances and expectations of each. Genomics, mainly through the use of novel and next-generation sequencing techniques, has advanced areas of drug discovery and development through the comparative assessment of normal and diseased-state tissues, transcription and/or expression profiling, side-effect profiling, pharmacogenomics and the identification of biomarkers. Proteomics, through techniques including isotope coded affinity tags, stable isotopic labeling by amino acids in cell culture, isobaric tags for relative and absolute quantification, multidirectional protein identification technology, activity-based probes, protein/peptide arrays, phage displays and two-hybrid systems is utilized in multiple areas through the drug development pipeline including target and lead identification, compound optimization, throughout the clinical trials process and after market analysis. Metabolomics, although the most recent and least developed of the three 'omics considered in this review, provides a significant contribution to drug development through systems biology approaches. Already implemented to some degree in the drug-discovery industry and used in applications spanning target identification through to toxicological analysis, metabolic network understanding is essential in generating future discoveries.

Promoting the 6Cs of Nursing in Patient Assessment

Recognising the deteriorating patient is an essential nursing skill, and structured frameworks should be in place to assist effective patient assessment. The aim of this article is to encourage nurses to consider how to promote the 6Cs of nursing within such assessment. The article provides an overview of the Patient Assessment and Clinical reasoning Tool designed to facilitate the development of clinical reasoning skills and effective communication with other healthcare professionals, therebyenhancing patientcentred care.

Une approche algorithmique des difficultés de raisonnement clinique : étude d’utilité, d’acceptabilité et de faisabilité

Résumé: INTRODUCTION Si les cliniciens enseignants détectent aisément les difficultés des apprenants, ils sont souvent peu outillés pour les étapes subséquentes, du diagnostic à la remédiation. Quoique des outils aient été développés pour les guider face aux difficultés de raisonnement clinique de leurs apprenants, ces outils peuvent être moins familiers des cliniciens et moins adaptés à des contextes de supervision ponctuelle et de soins aigus comme l’urgence. Nous avons donc développé une application algorithmique, à partir de la taxonomie d’Audétat et al. (2010), pour guider les cliniciens enseignants juste-à-temps face aux difficultés de raisonnement clinique. MÉTHODOLOGIE Une étude descriptive interprétative a été réalisée afin d’évaluer l’utilité, l’acceptabilité et la faisabilité d’utiliser cette application à l’urgence. Des entrevues semi-dirigées ont été menées auprès d’un échantillon de convenance de douze urgentistes, avant et après une période d’essai de l’outil de trois mois. RÉSULTATS L’application a été perçue comme particulièrement utile pour préciser les difficultés de raisonnement clinique des apprenants. Utiliser l’outil a été considérée acceptable et faisable en contexte d’urgence, en particulier grâce au format mobile. DISCUSSION Ces résultats suggèrent que l’outil peut être considéré utile pour faciliter l’identification des difficultés des apprenants, mais aussi pour offrir un soutien professoral accessible. Le format mobile et algorithmique semble avoir été un facteur facilitant, ce format étant déjà utilisé par les cliniciens pour consulter ponctuellement de l’information lors de la résolution de problèmes cliniques. CONCLUSION L’étude a démontré globalement une bonne utilité, acceptabilité et faisabilité de l’outil dans un contexte de supervision ponctuelle en soins aigus, ce qui soutient son utilisation par les cliniciens enseignants dans ce contexte. L’étude corrobore également l’intérêt d’un format mobile et algorithmique pour favoriser le transfert de connaissances en pédagogie médicale.

Perceção dos enfermeiros sobre as competências de supervisão clínica

Introdução: A evolução da ciência e tecnologia, as mudanças no seio das organizações de saúde, as novas e emergentes filosofias de cuidados, exigem dos profissionais de saúde uma participação ativa na formação dos seus pares, tendo o processo de supervisão clínica uma importância relevante. Objetivos: Identificar a perceção dos enfermeiros tutores especialistas sobre as competências do supervisor clínico na área de saúde infantil e pediatria. Métodos: Estudo qualitativo exploratório descritivo, fenomenológico, numa amostra de dez enfermeiros tutores dos serviços da área de pediatria do Hospital Dr. Nélio Mendonça, SESARAM. Recorremos à entrevista semiestruturada e áudio gravada. Efetuámos análise de conteúdo ao “corpus” de todas as entrevistas, com definição de subcategorias e indicadores. Resultados:. Emergiu a categoria competências do supervisor clínico e as subcategorias mais referenciadas foram as caraterísticas pessoais com 38% de unidade de registo e as competências profissionais (25,7%). Nos aspetos relevantes em saúde infantil e pediatria destacaram-se também as competências pessoais e profissionais com 40,4% cada. O principal fator facilitador da supervisão foi o ser um processo estruturado (21,6%), e o dificultador foi o deficit no relacionamento interpessoal (21,7%). No global houve mais unidades de registo relacionadas com os aspetos dificultadores. Conclusão: Conscientes das perceções dos supervisores numa área tão específica como é a área de saúde infantil e pediatria, pensamos que este estudo poderá contribuir para melhorar a qualidade do processo supervisivo na enfermagem. É necessário o esforço conjunto entre o supervisor e supervisionado, melhorando os processos mediados entre as instituições e os atores, onde proliferam a partilha de saberes, experiências e objetivos profissionais. Palavras-chave: Supervisor, Mentor, Supervisor clínico, Enfermagem, Supervisão.

Systematic reviews as a tool for planning and interpreting trials

Background Systematic reviews followed by ameta-analysis are carried out in medical research to combine the results of two or more related studies. Stroke trials have struggled to show beneficial effects and meta-analysis should be used more widely throughout the research process to either speed up the development of useful interventions, or halt more quickly research with hazardous or ineffective interventions. Summary of review. This review summarises the clinical research process and illustrates how and when systematic reviews may be used throughout the development programme. Meta-analyses should be performed after observational studies, preclinical studies in experimental stroke, and after phase I, II, and III clinical trials and phase IV clinical surveillance studies. Although meta-analyses most commonly work with summary data, they may be performed to assess relationships between variables (meta-regression) and, ideally, should utilise individual patient data. Meta-analysis techniques may alsoworkwith ordered categorical outcome data (ordinal meta-analysis) and be used to perform indirect comparisons where original trial data do not exist. Conclusion Systematic review/meta-analyses are powerful tools in medical research and should be used throughout the development of all stroke and other interventions

Spirituality in the Undergraduate Curricula of Nursing Schools in Portugal and São Paulo-Brazil

Spirituality is considered a dimension of nursing care, which is often recognized as being neglected, mainly due to a lack of education. Several studies have addressed nursing students’ perceptions and skills for providing spiritual care, but there is little evidence on how spirituality is addressed in undergraduate nursing curricula. This study comprised Portuguese and Brazilian nursing schools (from São Paulo) and describes how spirituality is addressed in undergraduate nursing curricula. It is descriptive and the survey research was performed in 2014–2015. The questionnaire was composed of closed and open-ended questions and was sent by e-mail. A total of 129 answers were obtained, mostly from Portugal. Results indicated that several curricular units include spirituality, although having different contents. The learning outcomes are consistent with improving nursing students’ integral education, developing the clinical reasoning regarding spirituality, and improving the assessment of the patient across the life span. Nevertheless, it seems that spirituality is poorly addressed in clinical practice. Few nursing schools have courses or curricular units specifically dealing with spirituality, but they do provide some form of teaching on the subject. No standard curriculum exists, but teachers believe that it is a very important subject that should be included in the courses taught.

Development and use of risk adjusted statistical process control tools for the monitoring and improvement of clinical outcomes in interventional cardiology

This thesis explored the development of statistical methods to support the monitoring and improvement in quality of treatment delivered to patients undergoing coronary angioplasty procedures. To achieve this goal, a suite of outcome measures was identified to characterise performance of the service, statistical tools were developed to monitor the various indicators and measures to strengthen governance processes were implemented and validated. Although this work focused on pursuit of these aims in the context of a an angioplasty service located at a single clinical site, development of the tools and techniques was undertaken mindful of the potential application to other clinical specialties and a wider, potentially national, scope.

Process mining for clinical processes: A comparative analysis of four Australian hospitals

Business process analysis and process mining, particularly within the health care domain, remain under-utilised. Applied research that employs such techniques to routinely collected, health care data enables stakeholders to empirically investigate care as it is delivered by different health providers. However, cross-organisational mining and the comparative analysis of processes present a set of unique challenges in terms of ensuring population and activity comparability, visualising the mined models and interpreting the results. Without addressing these issues, health providers will find it difficult to use process mining insights, and the potential benefits of evidence-based process improvement within health will remain unrealised. In this paper, we present a brief introduction on the nature of health care processes; a review of the process mining in health literature; and a case study conducted to explore and learn how health care data, and cross-organisational comparisons with process mining techniques may be approached. The case study applies process mining techniques to administrative and clinical data for patients who present with chest pain symptoms at one of four public hospitals in South Australia. We demonstrate an approach that provides detailed insights into clinical (quality of patient health) and fiscal (hospital budget) pressures in health care practice. We conclude by discussing the key lessons learned from our experience in conducting business process analysis and process mining based on the data from four different hospitals.

Modeling and reasoning with qualitative comparative clinical knowledge

The number of clinical trials reports is increasing rapidly due to a large number of clinical trials being conducted; it, therefore, raises an urgent need to utilize the clinical knowledge contained in the clinical trials reports. In this paper, we focus on the qualitative knowledge instead of quantitative knowledge. More precisely, we aim to model and reason with the qualitative comparison (QC for short) relations which consider qualitatively how strongly one drug/therapy is preferred to another in a clinical point of view. To this end, first, we formalize the QC relations, introduce the notions of QC language, QC base, and QC profile; second, we propose a set of induction rules for the QC relations and provide grading interpretations for the QC bases and show how to determine whether a QC base is consistent. Furthermore, when a QC base is inconsistent, we analyze how to measure inconsistencies among QC bases, and we propose different approaches to merging multiple QC bases. Finally, a case study on lowering intraocular pressure is conducted to illustrate our approaches.

Downstream processing development of enveloped viruses for clinical applications: innovative tools for rational process optimization

Dissertation presented to obtain a Ph.D. degree in Engineering and Technology Sciences, Biotechnology at the Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa