315 research outputs found

    Prediction of Post-operative Survival of Colorectal Cancer Patient By Using the Prognostic Nutritional Index: An Evidence-Based Case Report

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    Background: Colorectal cancer patients may be treated with several modalities and one of them is surgical treatment. Surgery in cancer patients is risky procedure and may not always resulted in prolonged survival. Therefore, before receiving any recommended treatment, the patient’s prognosis has to be assessed and defined properly. Several methods are available to assess the prognosis of cancer patients; one of them is the prognostic nutritional index (PNI).Objective: This study aimed to predict the survival of a colorectal cancer patient post-operatively by calculating the pre-operative PNI score.Method: Literature searching was done using inclusion and exclusion criteria on two databases, i.e. the PubMed and the Cochrane Library. The outcome was survival (disease-free survival, relapse-free survival, or overall survival).Results: Five articles that address the clinical question were retrieved. All indicated that a patient with low PNI score (<44.5) had a shorter overall survival (HR between 1.92 and 3.98 with all p values were <0.05).Conclusion: Pre-operative PNI score can be used to assess the overall survival of a colorectal cancer patient who underwent surgical resection. Patients with a PNI score > 44.5 had better survival than lower PNI score

    Determination of Ketamine and Norketamine in hair samples using MEPS as sample clean-up

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    Palestra realizada no encontro SoHT-GTFI Joint Meeting, Verona, Junho 2022Introduction and Aim: The use of hair samples to determine ketamine (K) and its metabolite, norketamine (NK), has been studied by several authors, using different clean-up approaches. However, microextraction by packed sorbent (MEPS), a miniaturized form of the classic solid-phase extraction has not been applied to date for the purpose. Therefore, a method to determine K and NK in hair samples was developed, optimized, and validated using MEPS as sample clean-up. Materials & Methods: Hair samples were scissor-cut into small fragments, and rinsed with methanol to remove dirt and externally deposited material. Following an overnight incubation with methanol at 65 ºC (no stirring), the compounds were analysed by GC-MS/MS without the need of derivatization procedures; MEPS conditions were: conditioning (5 x 250 µL of methanol and 4 x 250 µL of deionized water); load (10 x 150 µL of hair extract); washing (50 µL of 0.1% acetic acid and 50 µL of 10% methanol); and elution (100 µL of 3% ammonium hydroxide in methanol). Results & Discussion: The procedure resulted in acceptable recoveries, 39-61% for K and 32-43% for NK, and allowed reaching limits of quantification (LOQs) of 50 pg/mg for both analytes. The analytical method presented acceptable accuracy and precision with coefficients of variation typically lower than 15% and BIAS within ± 15%, except at the LOQ (20%). The method was successfully applied to 2 authentic samples, and ketamine concentrations were below 0.05 and 0.18 ng/mg. Norketamine was not detected. Conclusions: This work is the first analytical method using MEPS coupled to GC-MS/MS for the determination of K and NK in hair samples. Following a comparison with a SPE-based method using authentic samples, it was considered rapid and suitable for routine analysis. Acknowledgments: FCT (UIDB /00709/2020 and UIDP/00709/2020). A.Y. Simão acknowledges the PhD fellowship from FCT (2020.09070.BD).N/

    ENLACE: A Combination of Layer-Based Architecture and Wireless Communication for Emotion Monitoring in Healthcare

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    Owing to the increase in the number of people with disabilities, as a result of either accidents or old age, there has been an increase in research studies in the area of ubiquitous computing and the Internet of Things. They are aimed at monitoring health, in an efficient and easily accessible way, as a means of managing and improving the quality of life of this section of the public. It also involves adopting a Health Homes policy based on the Internet of Things and applied in smart home environments. This is aimed at providing connectivity between the patients and their surroundings and includes mechanisms for helping the diagnosis and prevention of accidents and/or diseases. Monitoring gives rise to an opportunity to exploit the way computational systems can help to determine the real-time emotional state of patients. This is necessary because there are some limitations to traditional methods of health monitoring, for example, establishing the behavior of the user’s routine and issuing alerts and warnings to family members and/or medical staff about any abnormal event or signs of the onset of depression. This article discusses how a layer-based architecture can be used to detect emotional factors to assist in healthcare and the prevention of accidents within the context of Smart Home Health. The results show that this process-based architecture allows a load distribution with a better service that takes into account the complexity of each algorithm and the processing power of each layer of the architecture to provide a prompt response when there is a need for some intervention in the emotional state of the user

    Gradient-dependent density functionals of the PBE type for atoms, molecules and solids

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    One of the standard generalized-gradient approximations (GGAs) in use in modern electronic-structure theory, PBE, and a recently proposed modification designed specifically for solids, PBEsol, are identified as particular members of a family of functionals taking their parameters from different properties of homogeneous or inhomogeneous electron liquids. Three further members of this family are constructed and tested, together with the original PBE and PBEsol, for atoms, molecules and solids. We find that PBE, in spite of its popularity in solid-state physics and quantum chemistry, is not always the best performing member of the family, and that PBEsol, in spite of having been constructed specifically for solids, is not the best for solids. The performance of GGAs for finite systems is found to sensitively depend on the choice of constraints steaming from infinite systems. Guidelines both for users and for developers of density functionals emerge from this work.Comment: 4 pages, PRB Rapid Comm. accepte

    The Determination of Cannabinoids in Urine Samples Using Microextraction by Packed Sorbent and Gas Chromatography-Mass Spectrometry

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    Cannabis is the most consumed illicit drug worldwide, and its legal status is a source of concern. This study proposes a rapid procedure for the simultaneous quantification of Δ9-tetrahydrocannabinol (THC), 11-hydroxy-Δ9-tetrahydrocannabinol (11-OH-THC), 11-nor-9-carboxy-Δ9-tetrahydrocannabinol (THC-COOH), cannabidiol (CBD), and cannabinol (CBN) in urine samples. Microextraction by packed sorbent (MEPS) was used to pre-concentrate the analytes, which were detected by gas chromatography–mass spectrometry. The procedure was previously optimized, and the final conditions were: conditioning with 50 µL methanol and 50 µL of water, sample load with two draw–eject cycles, and washing with 310 µL of 0.1% formic acid in water with 5% isopropanol; the elution was made with 35 µL of 0.1% ammonium hydroxide in methanol. This fast extraction procedure allowed quantification in the ranges of 1–400 ng/mL for THC and CBD, 5–400 ng/mL for CBN and 11-OH-THC, and 10–400 ng/mL for THC-COOH with coefficients of determination higher than 0.99. The limits of quantification and detection were between 1 and 10 ng/mL using 0.25 mL of sample. The extraction efficiencies varied between 26 and 85%. This analytical method is the first allowing the for determination of cannabinoids in urine samples using MEPS, a fast, simple, and low-cost alternative to conventional techniquesinfo:eu-repo/semantics/publishedVersio

    Treatments used for obsessive-compulsive disorder-An international perspective

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    © 2019 John Wiley & Sons, Ltd.OBJECTIVE: The objective of this study was to characterise international trends in the use of psychotropic medication, psychological therapies, and novel therapies used to treat obsessive-compulsive disorder (OCD). METHODS: Researchers in the field of OCD were invited to contribute summary statistics on the characteristics of their samples. Consistency of summary statistics across countries was evaluated. RESULTS: The study surveyed 19 expert centres from 15 countries (Argentina, Australia, Brazil, China, Germany, Greece, India, Italy, Japan, Mexico, Portugal, South Africa, Spain, the United Kingdom, and the United States) providing a total sample of 7,340 participants. Fluoxetine (n = 972; 13.2%) and fluvoxamine (n = 913; 12.4%) were the most commonly used selective serotonin reuptake inhibitor medications. Risperidone (n = 428; 7.3%) and aripiprazole (n = 415; 7.1%) were the most commonly used antipsychotic agents. Neurostimulation techniques such as transcranial magnetic stimulation, deep brain stimulation, gamma knife surgery, and psychosurgery were used in less than 1% of the sample. There was significant variation in the use and accessibility of exposure and response prevention for OCD. CONCLUSIONS: The variation between countries in treatments used for OCD needs further evaluation. Exposure and response prevention is not used as frequently as guidelines suggest and appears difficult to access in most countries. Updated treatment guidelines are recommended.Peer reviewe

    An Update on the Implications of New Psychoactive Substances in Public Health

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    Funding: The Associate Laboratory Institute for Health and Bioeconomy–i4HB (project LA/P/0140/2020) which are financed by National Funds from FCT/MCTES. Ana Y. Simão and Mónica Antunes acknowledge the PhD fellowships from FCT (2020.05765.BD). Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.The emergence of new psychoactive substances has earned a great deal of attention, and several reports of acute poisoning and deaths have been issued involving, for instance, synthetic opiates. In recent years, there have been profound alterations in the legislation concerning consump-tion, marketing, and synthesis of these compounds; rapid alert systems have also been subject to changes, and new substances and new markets, mainly through the internet, have appeared. Their effects and how they originate in consumers are still mostly unknown, primarily in what concerns chronic toxicity. This review intends to provide a detailed description of these substances from the point of view of consumption, toxicokinetics, and health consequences, including case reports on intoxications in order to help researchers and public health agents working daily in this area.publishersversionpublishe

    Sensors in the Detection of Abused Substances in Forensic Contexts: A Comprehensive Review

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    orensic toxicology plays a pivotal role in elucidating the presence of drugs of abuse in both biological and solid samples, thereby aiding criminal investigations and public health initiatives. This review article explores the significance of sensor technologies in this field, focusing on diverse applications and their impact on the determination of drug abuse markers. This manuscript intends to review the transformative role of portable sensor technologies in detecting drugs of abuse in various samples. They offer precise, efficient, and real-time detection capabilities in both biological samples and solid substances. These sensors have become indispensable tools, with particular applications in various scenarios, including traffic stops, crime scenes, and workplace drug testing. The integration of portable sensor technologies in forensic toxicology is a remarkable advancement in the field. It has not only improved the speed and accuracy of drug abuse detection but has also extended the reach of forensic toxicology, making it more accessible and versatile. These advancements continue to shape forensic toxicology, ensuring swift, precise, and reliable results in criminal investigations and public health endeavours.info:eu-repo/semantics/publishedVersio

    Determinação de Ketamina e Norketamina em amostras de cabelo por microextração em seringa empacotada e GC-MS/MS

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    Poster apresentado no 20º Congresso Nacional de Medicina Legal e Ciências Forenses, 5ª Reunião da rede de Serviços médico-legais e Forenses de Língua Portuguesa, Coimbra, 2022As novas substâncias psicoativas (NSP) continuam a representar um desafio considerável para a saúde pública e um problema para a sociedade. A ketamina (KET) é uma destas substâncias. O cabelo tem vindo a ser utilizado como uma matriz complementar à urina e ao sangue nas análises toxicológicas. A microextração em seringa empacotada (MEPS) tem vindo a ser mais utilizada em análises toxicológicas pelas diversas vantagens que apresenta, nomeadamente a redução do uso de solventes, rapidez e possibilidade de reutilização do adsorvente, sendo por isso economicamente mais apelativa que a clássica extração em fase sólida. Neste trabalho apresenta-se o desenvolvimento de um método de clean-up com recurso à MEPS para a determinação de KET e o seu metabolito norketamina (NK) em amostras de cabelo por cromatografia gasosa acoplada à espectrometria de massa em tandem (GCMS/ MS)N/

    Otimização de uma metodologia por microextração em seringa empacotada e cromatografia gasosa-espetrometria de massa em tandem para a identificação de arilciclohexaminas em amostras de cabelo

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    Poster apresentado no 12º Encontro Nacional de Cromatografia, Aveiro, dezembro de 2022As novas substâncias psicoativas (NPS) têm vindo a tornar-se um problema cada vez mais um problema de saúde pública. Em Portugal, a ketamina (KET) entrou para a lista de NSP com o Decreto-Lei nº 54/2013. Inicialmente sintetizada com o intuito de substituir a fenciclidina (PCP) como anestésico, acabou por ser usada recreativamente devido aos seus efeitos alucinogénios e estimulantes. Recentemente, a esketamina (análogo da KET) foi introduzida com finalidade terapêutica no tratamento de depressão major refractária a outra terapêutica. Para distinguir o consumo terapêutico do recreativo é necessário que existam métodos que para a sua deteção e quantificação. Neste trabalho foi desenvolvido e otimizado um método para a deteção de KET e seu metabolito (norketamina – NK) em amostras de cabelo com recurso à microextração em seringa empacotada (MEPS) e cromatografia de gases acoplada à espetrometria de massa em tandem (GC-MS/MS). (1) Foi desenvolvido um método analítico para a determinação de KET e NK em amostras de cabelo com recurso à MEPS; (2) A GC-MS/MS foi crucial para deteção inequívoca dos analitos, aumentando a sensibilidade e seletividade do método; (3) As recuperações obtidas são adequadas e foram alcançados LODs baixos (alcançando os cut-offs (0,2 ng/mg) propostos pela Society of Hair Testing) (4) Primeiro método analítico que permite a determinação de KET e NK em amostras de cabelo com recurso a MEPS e GC-MS/MSN/
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