Abstract INTRODUCTION: Herpesviruses, enteroviruses, and arboviruses are important because of their clinical relevance and ability to cause meningitis, encephalitis, meningoencephalitis, and other diseases. The clinical virology associated with diagnostic technologies can reduce the morbidity and mortality of such neurological manifestations. Here we aimed to identify the genomes of agents that cause neurological syndromes in cerebrospinal fluid (CSF) samples from patients with suspected nervous system infections admitted to the University Hospital of the University of Campinas, São Paulo, Brazil, in 2017-2018. METHODS: CSF samples collected from adult patients with neurological syndrome symptoms and negative CSF culture results were analyzed using polymerase chain reaction (PCR), reverse transcriptase-PCR, and real-time PCR, and their results were compared with their clinical symptoms. One CSF sample was obtained from each patient. RESULTS: Viral genomes were detected in 148/420 (35.2%) CSF samples: one of 148 (0.2%) was positive for herpes simplex virus-1; two (0.5%) for herpes simplex virus-2; eight (1.9%) for varicella-zoster virus; four (1%) for Epstein-Barr virus; one (0.2%) for cytomegalovirus; 32 (7.6%) for human herpesvirus-6; 30 (7.1%) for non-polio enterovirus; 67 (16.0%) for dengue virus, three (0.7%) for yellow fever virus, and 21 (5%) for Zika virus. CONCLUSIONS: The viral genomes were found in 35.2% of all analyzed samples, showing the high prevalence of viruses in the nervous system and the importance of using a nucleic acid amplification test to detect viral agents in CSF samples.

BACKGROUND Leprosy or hansen’s disease is a spectral disease whose clinical forms mostly depends on host’s immune and genetic factors. Different Toll-like receptors (TLR) variants have been described associated with leprosy, but with some lack of replication across different populations. OBJECTIVES To evaluate the role of polymorphisms in genes TLR1, TLR2 and TLR4 and susceptibility to leprosy in a genetic case control study; to verify the association between genotypes of these markers and the immunological profile in the serum of patients with leprosy. METHODS Pre-designed TaqMan® assays were used to genotype markers at TLR1 (rs4833095, rs5743551), TLR2 (rs7656411, rs3804099) and TLR4 (rs1927914, rs1927911). A panel of cytokines and chemokines was accessed by enzime-linked immunosorbent assay (ELISA) test in the serum of a subgroup of patients with and without leprosy reactions. FINDINGS Our results show an association between the T allele of rs3804099 at the TLR2 gene and increased risk for leprosy per se [Odds ratio (OR) = 1.296, p = 0,022]. In addition, evaluating the association between different genotypes of the TLR1, 2 and 4 markers and cytokine/chemokine serological levels, IL-17 appears as an immunological marker regulated by the polymorphism of the three TLR genes evaluated, whereas different TLR1 genotypes were associated with differential production of IL-12p40 and MCP-1(CCL2). Furthermore, other relevant serum markers such as CXCL-10 and IL-6 seemed to be regulated by TLR2 variants and IL-1β was related to TLR4 genotypes. MAIN CONCLUSIONS All together our data points that the tested TLR markers may have a regulatory role in the immunity against Mycobacterium leprae, by driving the host’s production of key cytokines and chemokines involved in the pathogenesis of this disease.

ABSTRACT PURPOSE: To evaluate the effects of dobutamine (DB), noradrenaline (NA), and their combination (NADB), on volume retention in rabbits submitted to hemorrhage. METHODS: Thirty six rabbits were randomly divided into 6 groups: SHAM, Control, Saline, DB, NA, DB+NA. All the animals, except for SHAM, were subjected to hemorrhage of 25% of the calculated blood volume. Control animals were replaced with their own blood. The other groups received NSS 3 times the volume withdrawn. The intravascular retention, hematocrit, diuresis, central venous pressure, mean arterial pressure, NGAL, dry-to-wet lung weight ratio (DTWR) and the lung and kidney histology were analyzed. RESULTS: Replacement with NSS and NA, DB or NA+DB did not produce differences in the intravascular retention. After hemorrhage, the animals presented a significant decrease in the MAP and CVP, which were maintained until volume replacement. Regarding NGAL, dry-to-wet-lung-weight ratio, lung and kidney histology, there were no statistical differences between the groups. CONCLUSION: The use of noradrenaline, dobutamine or their combination did not increase the intravascular retention of volume after normal saline infusion.

RESUMO Objetivos Comparar a qualidade de vida (QV) entre pacientes em lista de espera e pacientes submetidos a transplante cardíaco. Métodos Estudo transversal conduzido com 56 pacientes adultos em duas instituições de referência no sul do Brasil, 9(16%) em lista de espera e 47(84%) transplantados. A coleta de dados ocorreu entre agosto e dezembro de 2012. Utilizou-se o Medical Outcomes Study 36-item Short-Form Health Survey (SF-36), com escores variando de zero a 100. Resultados Houve diferença estatística no escore geral da QV entre os grupos (p=0,010) e em quatro domínios. A média das ordenações (mean rank) foi igual a 16,9 nos pacientes em lista de espera e 30,7 nos pacientes transplantados. Pacientes em lista de espera tiveram o menor escore no estado geral de saúde (9,1) e maior escore nos aspectos emocionais (24,8); pacientes transplantados apresentaram maior pontuação no estado geral de saúde e pior pontuação na dor (29,1). Conclusões A realização de transplante impacta positivamente na QV dos pacientes, quando comparada à CV daqueles em lista de espera.

ABSTRACT Objectives To compare the quality of life (QOL) between wait-listed patients and heart transplant recipients. Methods Cross-sectional study of 56 adult patients at two institutions in Southern Brazil, 9(16%) wait-listed patients and 47(84%) transplant recipients. Data were collected from August to December 2012. QOL was assessed using the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36), with scores ranging from zero to 100. Results There was statistically significant difference between the two groups in the overall QOL score (p=0.010) and in four dimensions. The mean rank was 16.9 in wait-listed patients and 30.7 in transplant recipients. Wait-listed patients presented the lowest for general health (9.1) and the highest scores for role-emotional (24.8). Transplant recipients obtained the highest scores for general health (32.2) and the lowest scores for bodily pain (29.1). Conclusions Undergoing a transplant has a positive impact on the QOL of recipients compared to that of patients awaiting transplantation.

RESUMEN Objetivo Comparar la calidad de vida (CV) entre pacientes en lista de espera y pacientes sometidos a trasplante cardíaco. Método Estudio transversal, realizado con 56 pacientes adultos en las dos instituciones más importantes en el sur de Brasil, 9(16%) en lista de espera y 47(84%) sometidos a trasplante de corazón. Los datos fueron recogidos entre agosto y diciembre de 2012. Se utilizó el Medical Outcomes Study 36-item Short-Form Health Survey (SF-36), con puntuaciones que van de cero a 100. Resultados Hubo diferencia estadísticamente significativa en la puntuación global de QV entre los grupos (p=0.010) y en cuatro dominios. El promedio de las ordenaciones (mean rank) fue igual a 16,9 en pacientes en lista de espera y 30,7 en pacientes con trasplante. Los pacientes en lista de espera tuvieron la puntuación más baja en la salud general (9.1) y la puntuación más alta en los aspectos emocionales (24.8); pacientes con trasplante mostraron puntuaciones más altas en el estado general de salud y la peor puntuación en el dolor (29.1). Conclusión El trasplante cardíaco provoca impacto importante en el aumento de la QV en comparación con pacientes en lista de espera.

ABSTRACT Objectives To compare the quality of life (QOL) between wait-listed patients and heart transplant recipients. Methods Cross-sectional study of 56 adult patients at two institutions in Southern Brazil, 9(16%) wait-listed patients and 47(84%) transplant recipients. Data were collected from August to December 2012. QOL was assessed using the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36), with scores ranging from zero to 100. Results There was statistically significant difference between the two groups in the overall QOL score (p=0.010) and in four dimensions. The mean rank was 16.9 in wait-listed patients and 30.7 in transplant recipients. Wait-listed patients presented the lowest for general health (9.1) and the highest scores for role-emotional (24.8). Transplant recipients obtained the highest scores for general health (32.2) and the lowest scores for bodily pain (29.1). Conclusions Undergoing a transplant has a positive impact on the QOL of recipients compared to that of patients awaiting transplantation.

RESUMEN Objetivo Comparar la calidad de vida (CV) entre pacientes en lista de espera y pacientes sometidos a trasplante cardíaco. Método Estudio transversal, realizado con 56 pacientes adultos en las dos instituciones más importantes en el sur de Brasil, 9(16%) en lista de espera y 47(84%) sometidos a trasplante de corazón. Los datos fueron recogidos entre agosto y diciembre de 2012. Se utilizó el Medical Outcomes Study 36-item Short-Form Health Survey (SF-36), con puntuaciones que van de cero a 100. Resultados Hubo diferencia estadísticamente significativa en la puntuación global de QV entre los grupos (p=0.010) y en cuatro dominios. El promedio de las ordenaciones (mean rank) fue igual a 16,9 en pacientes en lista de espera y 30,7 en pacientes con trasplante. Los pacientes en lista de espera tuvieron la puntuación más baja en la salud general (9.1) y la puntuación más alta en los aspectos emocionales (24.8); pacientes con trasplante mostraron puntuaciones más altas en el estado general de salud y la peor puntuación en el dolor (29.1). Conclusión El trasplante cardíaco provoca impacto importante en el aumento de la QV en comparación con pacientes en lista de espera.

RESUMO Objetivos Comparar a qualidade de vida (QV) entre pacientes em lista de espera e pacientes submetidos a transplante cardíaco. Métodos Estudo transversal conduzido com 56 pacientes adultos em duas instituições de referência no sul do Brasil, 9(16%) em lista de espera e 47(84%) transplantados. A coleta de dados ocorreu entre agosto e dezembro de 2012. Utilizou-se o Medical Outcomes Study 36-item Short-Form Health Survey (SF-36), com escores variando de zero a 100. Resultados Houve diferença estatística no escore geral da QV entre os grupos (p=0,010) e em quatro domínios. A média das ordenações (mean rank) foi igual a 16,9 nos pacientes em lista de espera e 30,7 nos pacientes transplantados. Pacientes em lista de espera tiveram o menor escore no estado geral de saúde (9,1) e maior escore nos aspectos emocionais (24,8); pacientes transplantados apresentaram maior pontuação no estado geral de saúde e pior pontuação na dor (29,1). Conclusões A realização de transplante impacta positivamente na QV dos pacientes, quando comparada à CV daqueles em lista de espera.

INTRODUÇÃO: O transplante cardíaco é atualmente a única alternativa cirúrgica amplamente aceita para tratar pacientes com insuficiência cardíaca (IC) grave que a terapia medicamentosa otimizada não consiga manter qualidade de vida adequada. OBJETIVO: Descrever e comparar os valores entre pré e pós-operatório, das capacidades física e pulmonar de pacientes que realizaram transplante cardíaco. MÉTODOS: Estudo de coorte retrospectivo composto por indivíduos submetidos ao transplante cardíaco, entre janeiro de 2001 a março de 2005, no IC-FUC/RS. RESULTADOS: Foram incluídos na análise 21 indivíduos. Observou-se redução dos valores de volumes e capacidades pulmonares (VEF1 e CVF) no 1º dia de pós-operatório em relação ao pré-operatório (P<0,001) e recuperação destes valores no 14º dia de pós-operatório (P<0,001). Os valores de força muscular inspiratória demonstraram tendências semelhantes, reduzindo no 1º dia de pós-operatório em relação ao pré-operatório (P< 0,001) e recuperando no 14º pós-operatório (P< 0,001). A capacidade funcional útil, mensurada por meio do teste de caminhada de 6 minutos (T6') mostrou melhora no 14º pós-operatório em relação ao pré-operatório (P< 0,001). CONCLUSÃO: Alterações na função ventilatória de indivíduos submetidos a transplante cardíaco são previsíveis, porém estes recuperam a força de músculos ventilatórios e capacidades pulmonares dentro de duas semanas, além de melhorar a capacidade funcional útil em relação ao préoperatório, sendo o transplante, quando indicado, associado à reabilitação funcional boa estratégia terapêutica.

INTRODUCTION: Heart transplantation is currently the only widely accepted surgical alternative to treat patients with severe heart failure (HF) drug therapy cannot maintain optimal quality of life appropriate. OBJECTIVE: To describe and to compare the values between pre-and postoperative physical capacity and pulmonary patients who underwent heart transplantation. METHODS: A retrospective cohort composed of patients undergoing heart transplantation between January 2001 to March 2005 in IC-FUC/RS. RESULTS: Were included in the 21 individuals. We observed decreased levels of volume and lung capacity (FEV1 and FVC) in the first days after surgery compared to preoperatively (P <0.001) and recovery of these values in the 14th postoperative day (P <0.001). The values of muscle strength showed similar trends in reducing post-operative period compared to preoperative (P <0.001) and recovered on the 14th postoperative day (P <0.001). A useful functional capacity, measured by testing 6-minute walk test (T6') showed improvement in the 14th postoperative day in relation to pre-operatively (P <0.001). CONCLUSION: Changes in ventilatory function of subjects undergoing cardiac transplantation are predictable, but these recover respiratory muscle strength and lung capacity within two weeks, and improve functional capacity useful in relation to pre-operative, the transplantation, when indicated, associated with good functional rehabilitation is very god treatment strategy.