ABSTRACT Introduction: The Zika Virus (ZIKV) is a single-stranded RNA genome virus, belonging to the family Flaviviridae, genus Flavivirus. Outbreaks around the world have demonstrated that the presence of asymptomatic viremic blood donors provides an increase in the risk of transfusion transmission (TT) and nucleic acid test (NAT) screening has been proposed to ensure the blood safety. This study implemented an “in-house” method to detect ZIKV RNA in blood sample donations. Methods: Primary plasma tubes are submitted to nucleic acid extraction on an automated platform. After extraction, the NAT set-up is performed in the robotic pipettor, in which an amplification mixture containing primers and probes for ZIKV and Polio vaccine virus (PV) are added in duplex as an internal control. The real-time polymerase chain reaction is then performed in a thermocycler, using the protocol established by the supplier. Results: From May 2016 to May 2018, 3,369 samples were collected from 3,221 blood donors (confidence coefficient 95%), of which 31 were considered false positive (0.92%), as they did not confirm initial reactivity when repeated in duplicates and 14 (0.42%) had their results invalid due to repeat failure in the internal control, 4 (0.12%), due to insufficient sample volume and 2 (0.05%), due to automatic pipettor failures. No Zika RNA reactive sample was identified. Conclusion: The test showed feasible to be incorporated into the blood screening routine. Our data do not indicate the need to screen for ZIKV RNA in São Paulo during the evaluated period. However, a generic NAT system covering a group of flaviviruses which are circulating in the region, such as DENV and YFV, among others, could be a useful tool.

ABSTRACT Objective The objective of the present study is to evaluate the association of red blood cell distribution width with acute kidney injury in sepsis. Methods This is a retrospective study of 849 critically ill patients with sepsis in intensive care unit. Demographic data, renal function, inflammation, complete blood count, and acid-base parameters were compared between acute kidney injury and non-acute kidney injury groups. Therefore, a multivariate analysis was performed to observe independent predictive factors. Results Comparatively, higher levels of C-reactive protein, lactate, red blood cell distribution width, and Simplified Acute Physiology Score 3 were found in the acute kidney injury group. The study showed a higher frequency of women, hemoglobin (Hgb) concentration, platelets, bicarbonate and PaO2/FiO2 ratio in the non-acute kidney injury group. In addition, there was an independent association of comorbidity-chronic kidney disease [OR 3.549, 95%CI: 1.627-7.743; p<0.001], urea [OR 1.047, 95%CI: 1.036-1.058; p<0.001] and RDW [OR 1.158, 95%CI: 1.045-1.283; p=0.005] with acute kidney injury in sepsis patients. Conclusion As an elective risk factor, red blood cell distribution width was independently associated with sepsis-related acute kidney injury. Thus, red blood cell distribution width acts like a predictive factor for sepsis-induced acute kidney injury in intensive care unit admission.

Objetivo: Avaliar fatores que afetam o rendimento da coleta em pacientes submetidos à leucaférese de grande volume para obtenção de células-tronco hematopoiéticas do sangue periférico para autotransplante. Métodos: Análise retrospectiva de 304 doadores de células-tronco hematopoiéticas de sangue periférico para autotransplante submetidos à mobilização com fator de crescimento hematopoiético (geralmente G-CSF), associado ou não à quimioterapia, no Hospital Israelita Albert Einstein, de Fevereiro de 1999 a Junho de 2010. O objetivo da coleta foi obter pelo menos 2 × 106 CD34+ células/kg peso. Os fatores pré-mobilização incluíam idade, sexo e diagnóstico do paciente. Os parâmetros pós-mobilização avaliados foram contagem de leucócitos, células imaturas, células mononucleares, células CD34+, plaquetas e nível de hemoglobina no sangue periférico. O efeito desses fatores no rendimento da coleta de CTH foi investigado por meio de regressão logística (análise univariada e multivariada). Resultados: A análise univariada revelou os seguintes fatores pré-mobilização estatisticamente significantes: diagnóstico de leucemia mieloide aguda (p = 0,017) e outras doenças hematológicas (p = 0,023), células imaturas circulantes (p = 0,001), granulócitos (p = 0,002), nível de hemoglobina (p = 0,016) e contagem de células CD34+ no sangue periférico (p < 0,001) no primeiro dia de coleta. Entretanto, só a contagem de células CD34+ no sangue periférico manteve-se associada de forma significante ao rendimento ruim da coleta de células-tronco hematopoiéticas na análise multivariada. Conclusão: Neste estudo, a contagem de células CD34+ no sangue periférico foi o único fator significantemente associado ao rendimento da coleta de células-tronco hematopoiéticas com leucaférese de grande volume para autotransplante.

Objective: To evaluate factors affecting peripheral blood hematopoietic stem cell yield in patients undergoing large-volume leukapheresis for autologous peripheral blood stem cell collection. Methods: Data from 304 consecutive autologous peripheral blood stem cell donors mobilized with hematopoietic growth factor (usually G-CSF), associated or not with chemotherapy, at Hospital Israelita Albert Einstein between February 1999 and June 2010 were retrospectively analyzed. The objective was to obtain at least 2 × 106 CD34+ cells/kg of body weight. Pre-mobilization factors analyzed included patient's age, gender and diagnosis. Post mobilization parameters evaluated were pre-apheresis peripheral white blood cell count, immature circulating cell count, mononuclear cell count, peripheral blood CD34+ cell count, platelet count, and hemoglobin level. The effect of pre and post-mobilization factors on hematopoietic stem cell collection yield was investigated using logistic regression analysis (univariate and multivariate approaches). Results: Pre-mobilization factors correlating to poor CD34 + cell yield in univariate analysis were acute myeloid leukemia (p = 0.017) and other hematological diseases (p = 0.023). Significant post-mobilization factors included peripheral blood immature circulating cells (p = 0.001), granulocytes (p = 0.002), hemoglobin level (p = 0.016), and CD34+ cell concentration (p < 0.001) in the first harvesting day. However, according to multivariate analysis, peripheral blood CD34+ cell content (p < 0.001) was the only independent factor that significantly correlated to poor hematopoietic stem cell yield. Conclusion: In this study, peripheral blood CD34+ cell concentration was the only factor significantly correlated to yield in patients submitted to for autologous collection.