Abstract: Parabens are among the most widely used preservatives in cosmetic formulations. The aim of this study was to investigate the relationship between allergic contact dermatitis (ACD) and the use of parabens in cosmetics. A systematic review was performed with searches in PubMed, Scopus and Science Direct, in addition to a manual search. Interventional or observational studies that assessed the incidence of ACD in individuals using parabens were included. The quality of the articles was assessed and the data were extracted for a qualitative synthesis and single-arm meta-analysis. Fourteen studies (8 longitudinal, 3 cross-sectional, 1 quasi experimental and 2 case reports) were included in the systematic review and had their data extracted. Twelve studies reported ACD after the use of parabens and were included in the single-arm meta-analysis, resulting in an ACD incidence of 0.9%[95%CI: 0.4-2.0%], thus classified as a rare event. This result was related to already sensitized skin in most cases. In addition, the concentration of parabens in the contact test was above that recommended in cosmetics. The incidence of ACD due to parabens is rare, but further studies with control groups and at the usual concentrations of parabens are needed to better evaluate the results.

Abstract Pharmacists acting in pharmacies and drugstores stores are some of the most accessible healthcare providers and the last to intervene before the patient takes their medicine. This puts the pharmacist in a position of authority that should be harnessed for the benefit of health. Thus, this professional is strategic for performing pharmacovigilance. Our objective of this study was to interrogate the practice of pharmacists in relation to pharmacovigilance activities, and to identify difficulties and possible stimuli for the improvement these activities in pharmacies and drugstores. The information was collected through an online questionnaire via Survey Monkey®. The data were analyzed statistically using SPSS software. Responses were received from 5174 pharmacists: mostly young women within five years of graduation and experience in pharmaceutical retail. 81% of them reported having identified suspected substandard medicines, but only 16% used the Brazilian notification system Notivisa. More than 85% of pharmacists agreed with the importance of pharmacovigilance and the recognition of reporting services as part of pharmacist duties and pharmaceutical care. The main barriers to making notifications were the lack of access and knowledge about Notivisa. Pharmacists agreed that simplifying the system would be a stimulus for notifications, and requested more feedback from notifications, as well as material and courses to understand the notification process. Pharmacists have important data to feed into pharmacovigilance systems, recognize their responsibilities and are willing to contribute, but still demonstrate low compliance. Simplification of the system and training on it are likely to increase notifications.

Abstract The delivery of clinical pharmacy services has been growing in Brazilian community pharmacies, and it is necessary to have a comprehensive understanding of the topic. This scoping review aimed to provide an overview of Brazilian studies about clinical pharmacy services in community pharmacies. Original research articles, with no restriction of time, study design, or patient’s health condition, were included. Searches were conducted in PubMed, Scopus, Web of Science, Scielo, and Lilacs. Two reviewers conducted the screening, full-text reading, and data extraction independently. ROB and ROBINS-I were used for the assessment of quality. Charts and tables were built to summarise the data. Seventy-two articles were included. A diversity of study designs, number of participants, terms used, and outcomes was found. São Paulo and Sergipe States had the highest number of studies (n=10). Pharmacists’ interventions were not fully reported in 65% of studies, and most studies presented an unclear risk of bias. Studies were very diverse, impairing the comparisons between the results and hindering their reproducibility. This review suggests using guidelines and checklists for better structuration of pharmacists’ interventions as well as reporting results and measuring fidelity in future research. pharmacies topic time design patients patient s condition included PubMed Scopus Science Scielo Lilacs screening fulltext full text reading independently ROBINSI ROBINS I quality Seventytwo Seventy two designs participants found n=10. n10 n n=10 . 10 (n=10) Pharmacists 65 bias diverse reproducibility pharmacists n1 n=1 1 (n=10 6 n= (n=1 (n= (n

Resumo Investigamos os preditores de atraso no diagnóstico e mortalidade de pacientes com COVID-19 no Rio de Janeiro, Brasil. Uma coorte de 3.656 pacientes foi avaliada (fevereiro-abril de 2020) e as características sociodemográficas dos pacientes, o bairro e o índice de desenvolvimento social (IDS) foram usados como fatores determinantes dos atrasos no diagnóstico e da mortalidade. Foram realizadas análises de sobrevivência de Kaplan-Meier, modelos de regressão Cox dependentes do tempo e análises de regressão logística multivariada. O tempo mediano desde o início dos sintomas até o diagnóstico foi de oito dias (intervalo interquartil [IQR] 7,23-8,99 dias). Metade dos pacientes se recuperou no período avaliado e 8,3% faleceram. As taxas de mortalidade foram maiores nos homens. Atrasos no diagnóstico foram associados ao sexo masculino (p = 0,015) e pacientes que moravam em áreas com baixo IDS (p < 0,001). As faixas etárias estatisticamente associadas à morte foram: 70-79 anos, 80-89 anos e 90-99 anos. Atrasos no diagnóstico superiores a oito dias também foram fatores de risco para óbito. Atrasos no diagnóstico e fatores de risco para morte por COVID-19 foram associados ao sexo masculino, idade abaixo de 60 anos e pacientes que vivem em regiões com menor IDS. Atrasos superiores a oito dias no diagnóstico aumentam as taxas de mortalidade.

Abstract We investigated the predictors of delay in the diagnosis and mortality of patients with COVID-19 in Rio de Janeiro, Brazil. A cohort of 3,656 patients were evaluated (Feb-Apr 2020) and patients’ sociodemographic characteristics, and social development index (SDI) were used as determinant factors of diagnosis delays and mortality. Kaplan-Meier survival analyses, time-dependent Cox regression models, and multivariate logistic regression analyses were conducted. The median time from symptoms onset to diagnosis was eight days (interquartile range [IQR] 7.23-8.99 days). Half of the patients recovered during the evaluated period, and 8.3% died. Mortality rates were higher in men. Delays in diagnosis were associated with male gender (p = 0.015) and patients living in low SDI areas (p < 0.001). The age groups statistically associated with death were: 70-79 years, 80-89 years, and 90-99 years. Delays to diagnosis greater than eight days were also risk factors for death. Delays in diagnosis and risk factors for death from COVID-19 were associated with male gender, age under 60 years, and patients living in regions with lower SDI. Delays superior to eight days to diagnosis increased mortality rates.

ABSTRACT Objective Diabetes mellitus (DM) is a chronic disease with great impact on patients’ quality of life (QoL). This variable can be measured using reliable, standardized, and validated instruments. The purpose of this study was to evaluate the application and reporting of the Diabetes Quality of Life Measure (DQOL) or the Diabetes Quality of Life for Youths Measure (DQOLY), an adapted version for young patients with DM. Materials and methods A systematic review of interventional and observational studies using the DQOL or DQOLY was performed. Searches were conducted in the electronic databases Medline, Scopus, Web of Science, Lilacs, and SciELO. Results After conducting the searches, 111 studies met the inclusion criteria and were included in the qualitative analysis. Of these, 32 studies were classified as interventional and 79 as observational, with 27,481 patients. The DQOL was applied in 82 studies, the DQOLY in another 27, and two studies used both instruments. DM was classified as type 1 DM in 69 studies and type 2 DM in 35 studies. Six studies included both patients. Improvement in patients’ QoL after an intervention was observed in 13 interventional studies. Most of the studies (90%) provide a detailed description of the instrument and 52% the previous validation. The interpretation of the scores obtained varies among the studies, probably due to the differences inherent in cultural validations, translations, and adaptations. Conclusion The application of the instruments in clinical practice must be rigorously standardized and requires an accurate understanding of psychometric and statistical concepts. Arch Endocrinol Metab. 2020;64(1):59-65

Resumo Investigamos os preditores de atraso no diagnóstico e mortalidade de pacientes com COVID-19 no Rio de Janeiro, Brasil. Uma coorte de 3.656 pacientes foi avaliada (fevereiro-abril de 2020) e as características sociodemográficas dos pacientes, o bairro e o índice de desenvolvimento social (IDS) foram usados como fatores determinantes dos atrasos no diagnóstico e da mortalidade. Foram realizadas análises de sobrevivência de Kaplan-Meier, modelos de regressão Cox dependentes do tempo e análises de regressão logística multivariada. O tempo mediano desde o início dos sintomas até o diagnóstico foi de oito dias (intervalo interquartil [IQR] 7,23-8,99 dias). Metade dos pacientes se recuperou no período avaliado e 8,3% faleceram. As taxas de mortalidade foram maiores nos homens. Atrasos no diagnóstico foram associados ao sexo masculino (p = 0,015) e pacientes que moravam em áreas com baixo IDS (p < 0,001). As faixas etárias estatisticamente associadas à morte foram: 70-79 anos, 80-89 anos e 90-99 anos. Atrasos no diagnóstico superiores a oito dias também foram fatores de risco para óbito. Atrasos no diagnóstico e fatores de risco para morte por COVID-19 foram associados ao sexo masculino, idade abaixo de 60 anos e pacientes que vivem em regiões com menor IDS. Atrasos superiores a oito dias no diagnóstico aumentam as taxas de mortalidade.

Abstract We investigated the predictors of delay in the diagnosis and mortality of patients with COVID-19 in Rio de Janeiro, Brazil. A cohort of 3,656 patients were evaluated (Feb-Apr 2020) and patients’ sociodemographic characteristics, and social development index (SDI) were used as determinant factors of diagnosis delays and mortality. Kaplan-Meier survival analyses, time-dependent Cox regression models, and multivariate logistic regression analyses were conducted. The median time from symptoms onset to diagnosis was eight days (interquartile range [IQR] 7.23-8.99 days). Half of the patients recovered during the evaluated period, and 8.3% died. Mortality rates were higher in men. Delays in diagnosis were associated with male gender (p = 0.015) and patients living in low SDI areas (p < 0.001). The age groups statistically associated with death were: 70-79 years, 80-89 years, and 90-99 years. Delays to diagnosis greater than eight days were also risk factors for death. Delays in diagnosis and risk factors for death from COVID-19 were associated with male gender, age under 60 years, and patients living in regions with lower SDI. Delays superior to eight days to diagnosis increased mortality rates.

RESUMO Este estudo investigou a relação entre suporte social, características sociodemográficas, clínicas e adesão ao Tratamento Antirretroviral (TARV) utilizando o questionário Social Support Inventory for People who are HIV Positive or Have AIDS. Para isso, foram avaliados 119 usuários HIV-positivos - dos quais 53,8% eram homens. Em relação à disponibilidade e satisfação, os valores médios foram de 3,37 (DP=1,00) para o suporte instrumental e 3,48 (DP=1,06) para o suporte emocional. Observaram-se diferenças significativas na disponibilidade e satisfação do suporte social com variáveis sociodemográficas e clínicas. Verificou-se que, quanto maior a disponibilidade e a satisfação com o suporte social, maior o OR para a adesão ao tratamento. O desenvolvimento de estratégias de apoio social pode contribuir positivamente para o controle da doença e melhor qualidade de vida dos usuários.

ABSTRACT This study aimed to assess the relationship between social support, sociodemographic and clinical characteristics and treatment adherence using the Social Support Inventory for People who are HIV Positive or Have AIDS. Thus, it were evaluated 119 HIV-positive patients, of which 53.8% were men. Regarding the availability and satisfaction mean values were 3.37 (DP=1.00) for the instrumental support and 3.48 (DP=1.06) for emotional support. Significant differences were found in the availability and satisfaction of social support with clinical and sociodemographic variables. It was found that the greater the availability and satisfaction with social support, the greater the OR for adherence to treatment. The development of social support strategies can positively contribute to disease control and better quality of life of HIV-positive patients.

The aim of this study was to evaluate interruption of treatment with biological drugs and tofacitinib due to adverse events in patients with rheumatoid arthritis. A systematic review was performed in the electronic databases MEDLINE, Cochrane, Scopus, CRD, IPA, Lilacs and Scielo. Case reports addressing interruption of treatment due to any adverse event related to abatacept (ABA), adalimumab (ADA), anakinra (ANA), certolizumab pegol (CER), etanercept (ETA), golimumab (GOL), infliximab (IFX), rituximab (RTX), secukinumab (SEC), tocilizumab (TCZ), tofacitinib (TOF) or ustekinumab (UST) in rheumatoid arthritis patients were evaluated. Baseline data, patient profile, previous and current treatments, cause of discontinuation and information on reintroduction of treatment were extracted from the case reports. One hundred and fifty-four studies (154 patients) reported 162 discontinuations of rheumatoid arthritis treatment due to adverse events (ETA = 57; IFX = 46; ADA = 32; TCZ = 13; RTX = 5; ANA = 3; GOL = 2; ABA = 2; TOF = 1; CER = 1; SEC = 0 and UST = 0). The mean age of patients was 56 (± 12.1) years and 82% were female. Seventy-four adverse events were confirmed (related to used drug), and 138 were observed in patients using anti-TNF. The most common adverse events were infections (21%), skin disease (15%), autoimmune disease (13%) and hematological disorders (9%). Case reports are important in the detection of rare adverse events and should be considered in the choice of appropriate therapy for patients.