Synergetic action of atorvastatin and fluconazole against fluconazole-resistant Candida albicans in vitro and in a murine model for intra-abdominal Candidiasis / Ação sinérgica da atorvastatina e fluconazol contra Candida albicans resistente ao fluconazol in vitro e em um modelo murino contra Candidíase intra-abdominal

Introduction: Candida albicans is the most common causative agent of Intra-abdominal Candidiasis (IAC) and it is resistant to most antifungal drugs currently available. Here we investigated atorvastatin in vitro and in vivo antifungal activities against a fluconazole-resistant C. albicans strain as a potential repurposed drug. The following tests were carried out: antifungal susceptibility tests to determine minimum inhibitory concentration (MIC) and minimum fungicidal concentration (MFC), determination of time-kill curve, biofilm assays, Candida albicans yeast-hyphae transition inhibition assay, murine model of Intra-abdominal candidiasis, survival curve, fungal load quantification, histopathology analysis, quantification of TNF-α and IL-17 cytokines, quantification of N-acetyl-β-D-glucosaminidase. In vitro assays showed the synergetic action of atorvastatin and fluconazole against C. albicans growth and biofilm maturation while the time-kill curve assay revealed their fungicidal effect after 24 h of treatment. When yeast-to-hyphae transition was assessed, the synergetic effect of atorvastatin and fluconazole reduced C. albicans filamentation significantly. In vivo tests showed that one of the most noticeable signs of IAC is the intense systemic inflammation. However, our survival curve test showed that despite being ill, animals exhibited little to no clinical signs of systemic inflammation when treatment included a combination of atorvastatin and fluconazole. Altogether, these findings suggest that atorvastatin could be feasibly used in the treatment fluconazole-resistant C. albicans strains, showing that drug repurposing is an important strategy when considering the limited number of antifungal drugs available for treatment in addition to financial hardship experienced in research and development of new antifungal drugs.

Evolução clínica de um grupo de pacientes com TB multirresistente atendidos em um centro de referência na cidade do Rio de Janeiro

OBJETIVO: Analisar as características clínicas e a evolução de um grupo de pacientes com culturas de escarro positivas para Mycobacterium tuberculosis multirresistente (MR) e tratados em um centro de referência no município do Rio de Janeiro. MÉTODOS: A partir dos resultados de M. tuberculosis MR em culturas de escarro, foram selecionados 50 pacientes cujos dados clínicos foram obtidos através do Banco de Dados TBMR do Ministério da Saúde. Foram considerados a frequência de abandono, as recidivas, as falências e os tratamentos prévios para TB até o diagnóstico de TBMR. O padrão radiológico foi classificado em uni- ou bilateral, e cavitário ou não. Dois anos após o término do tratamento padronizado para TBMR, o desfecho (cura, falência, abandono ou óbito) de cada paciente foi avaliado e repetido a cada dois anos. O período de seguimento foi de oito anos após o tratamento. RESULTADOS: A média do número de tratamentos prévios foi de 2,3 ± 0,9. O tempo médio entre o diagnóstico inicial e o desenvolvimento de TBMR foi de 2 ± 1,7 anos. Após dois anos do tratamento inicial para TBMR houve 2 abandonos, 8 óbitos, 18 curas e 22 falências. A análise bivariada mostrou que o comprometimento pulmonar bilateral e o padrão cavitário reduziram acentuadamente a chance de cura, com risco relativo de 1-0,6 (40%) e 1-0,7 (30%), respectivamente. Ao final do seguimento, houve 2 abandonos, 9 falências, 17 curas e 22 óbitos. CONCLUSÕES: O comprometimento pulmonar bilateral e lesões cavitárias reduziram a possibilidade de cura dos pacientes com TBMR. A maioria dos pacientes com falha de tratamento evoluiu para óbito no período de 8 anos

Resistência do Mycobacterium tuberculosis à isoniazida por mutações em duas regiões diferentes do gene katG

OBJETIVO: Analisar e comparar as mutações em duas regiões diferentes do gene katG, responsáveis pela resistência à isoniazida (INH). MÉTODOS: As análises foram feitas em 97 cepas de Mycobacterium tuberculosis multirresistentes isoladas de culturas de escarro provenientes do Centro de Referência Professor Hélio Fraga. Outras 6 cepas, sensíveis à INH, não apresentaram mutações e foram incluídas como controle. Duas regiões do gene katG (GenBank nº de acesso U06258) - região 1, do códon 1 até o códon 119, e região 2, do códon 267 até o códon 504 - foram amplificadas por PCR e sequenciadas para a identificação das mutações. RESULTADOS: Sete cepas eram resistentes à INH e não mostraram mutação nas duas regiões. Trinta cepas apresentaram mutações na região 1, que se caracterizou por um grande número de deleções, especialmente no códon 4 (24 cepas). A região 2 mostrou 83 mutações pontuais, principalmente no códon 315, com 73 casos de troca de serina (AGC) para treonina (ACC). A análise da região 2 permitiu o diagnóstico de resistência à INH em 81,4% das cepas. Nove cepas tiveram mutações somente na região 1, e isso permitiu o aumento de identificação de cepas resistentes à INH para 90,6%. CONCLUSÕES: O número de mutações do códon 315 foi elevado, compatível com os casos descritos no Brasil e em outros países, e a análise da região 1 aumentou a detecção de mutações em mais 9,2%

NICeSim: An open-source simulator based on machine learning techniques to support medical research on prenatal and perinatal care decision making

This paper describes NICeSim, an open-source simulator that uses machine learning (ML) techniques to aid health professionals to better understand the treatment and prognosis of premature newborns. The application was developed and tested using data collected in a Brazilian hospital. The available data were used to feed an ML pipeline that was designed to create a simulator capable of predicting the outcome (death probability) for newborns admitted to neonatal intensive care units. However, unlike previous scoring systems, our computational tool is not intended to be used at the patients bedside, although it is possible. Our primary goal is to deliver a computational system to aid medical research in understanding the correlation of key variables with the studied outcome so that new standards can be established for future clinical decisions. In the implemented simulation environment, the values of key attributes can be changed using a user-friendly interface, where the impact of each change on the outcome is immediately reported, allowing a quantitative analysis, in addition to a qualitative investigation, and delivering a totally interactive computational tool that facilitates hypothesis construction and testing. Our statistical experiments showed that the resulting model for death prediction could achieve an accuracy of 86.7% and an area under the receiver operating characteristic curve of 0.84 for the positive class. Using this model, three physicians and a neonatal nutritionist performed simulations with key variables correlated with chance of death. The results indicated important tendencies for the effect of each variable and the combination of variables on prognosis. We could also observe values of gestational age and birth weight for which a low Apgar score and the occurrence of respiratory distress syndrome (RDS) could be less or more severe. For instance, we have noticed that for a newborn with 2000 g or more the occurrence of RDS is far less problematic than for neonates weighing less. The significant accuracy demonstrated by our predictive model shows that NICeSim might be used for hypothesis testing to minimize in vivo experiments. We observed that the model delivers predictions that are in very good agreement with the literature, demonstrating that NICeSim might be an important tool for supporting decision making in medical practice. Other very important characteristics of NICeSim are its flexibility and dynamism. NICeSim is flexible because it allows the inclusion and deletion of variables according to the requirements of a particular study. It is also dynamic because it trains a just-in-time model. Therefore, the system is improved as data from new patients become available. Finally, NICeSim can be extended in a cooperative manner because it is an open-source system

Neutrophil CD64 expression levels in IGRA-positive individuals distinguish latent tuberculosis from active disease

BACKGROUND CD64 (FcγR1) is a high-affinity receptor for monomeric IgG1 and IgG3. Circulating neutrophils express very low amounts of CD64 on their surface. OBJECTIVES Our primary aim was to investigate the utility of neutrophil CD64 surface expression as a biomarker of active pulmonary tuberculosis (TB). We hypothesised that elevated neutrophil CD64 expression in TB infection would be associated with interferon gamma (IFN-g) as an inducer of CD64 expression. METHODS The expression level of CD64 per neutrophil (PMN CD64 index) was quantitatively measured with flow cytometry using a Leuko64 kit in samples from patients with TB and latent TB infection (LTBI) as well as healthy controls, as part of a prospective cohort study in Brazil. FINDINGS The PMN CD64 index in patients with TB was higher than that in healthy controls and LTBI. Receiver operating characteristic curve analyses determined that the PMN CD64 index could discriminate patients with TB from those with LTBI and healthy individuals. PMN CD64 index levels returned to baseline levels after treatment. CONCLUSIONS The positive regulation of CD64 expression in circulating neutrophils of patients with active TB could represent an additional biomarker for diagnosis of active TB and could be used for monitoring individuals with LTBI before progression of TB disease

Organizational factors associated with adherence to low tidal volume ventilation: a secondary analysis of the CHECKLIST-ICU database

Background: Survival benefit from low tidal volume (VT) ventilation (LTVV) has been demonstrated for patients with acute respiratory distress syndrome (ARDS), and patients not having ARDS could also benefit from this strategy. Organizational factors may play a role on adherence to LTVV. The present study aimed to identify organizational factors with an independent association with adherence to LTVV. Methods: Secondary analysis of the database of a multicenter two-phase study (prospective cohort followed by a cluster-randomized trial) performed in 118 Brazilian intensive care units. Patients under mechanical ventilation at day 2 were included. LTVV was defined as a VT ≤ 8 ml/kg PBW on the second day of ventilation. Data on the type and number of beds of the hospital, teaching status, nursing, respiratory therapists and physician staffing, use of structured checklist, and presence of protocols were tested. A multivariable mixed-effect model was used to assess the association between organizational factors and adherence to LTVV. Results: The study included 5719 patients; 3340 (58%) patients received LTVV. A greater number of hospital beds (absolute difference 7.43% [95% confidence interval 0.61–14.24%]; p = 0.038), use of structured checklist during multidisciplinary rounds (5.10% [0.55–9.81%]; p = 0.030), and presence of at least one nurse per 10 patients during all shifts (17.24% [0.85–33.60%]; p = 0.045) were the only three factors that had an independent association with adherence to LTVV. Conclusions: Number of hospital beds, use of a structured checklist during multidisciplinary rounds, and nurse staffing are organizational factors associated with adherence to LTVV. These findings shed light on organizational factors that may improve ventilation in critically ill patients