Estimated glomerular filtration rate in clinical practice: Consensus positioning of the Brazilian Society of Nephrology (SBN) and Brazilian Society of Clinical Pathology and Laboratory Medicine (SBPC/ML).

Chronic kidney disease (CKD) represents one of today's main public health problems. Serum creatinine measurement and estimation of the glomerular filtration rate (GFR) are the main tools for evaluating renal function. There are several equations to estimate GFR, and CKD-EPI equation (Chronic Kidney Disease - Epidemiology) is the most recommended one. There are still some controversies regarding serum creatinine measurement and GFR estimation, since several factors can interfere in this process. An important recent change was the removal of the correction for race from the equations for estimating GFR, which overestimated kidney function, and consequently delayed the implementation of treatments such as dialysis and kidney transplantation. In this consensus document from the Brazilian Societies of Nephrology and Clinical Pathology and Laboratory Medicine, the main concepts related to the assessment of renal function are reviewed, as well as possible existing controversies and recommendations for estimating GFR in clinical practice.

Evaluation of pathogen from the FilmArray meningitis/encephalitis panel and recommendations on atypical findings.

BACKGROUND: Infectious meningoencephalitis is a potentially fatal clinical condition that causes inflammation of the central nervous system secondary to the installation of different microorganisms. The FilmArray meningitis/encephalitis panel allows the simultaneous detection of 14 pathogens with results in about one hour. OBJECTIVE: This study is based on retrospectively evaluating the implementation of the FilmArray meningitis/encephalitis panel in a hospital environment, highlighting the general results and, especially, analyzing the consistency of the test results against the clinical and laboratory conditions of the patients. METHODS: Data were collected through the results reported by the BioFire FilmArray system software from the meningitis/encephalitis panel. The correlated laboratory tests used in our analysis, when available, included biochemical, cytological, direct and indirect microbiological tests. RESULTS: In the analyzed period, there were 496 samples with released results. Of the total of 496 samples analyzed, 88 (17.75%) were considered positive, and 90 pathogens were detected, and in 2 of these (2.27%) there was co-detection of pathogens. Viruses were the agents most frequently found within the total number of pathogens detected. Of the 496 proven samples, 20 (4.03%) were repeated, 5 of which were repeated due to invalid results, 6 due to the detection of multiple pathogens and 9 due to disagreement between the panel results and the other laboratory tests and/or divergence of the clinical-epidemiological picture. Of these 20 repeated samples, only 4 of them (20%) maintained the original result after repeating the test, with 16 (80%) being non-reproducible. The main factor related to the disagreement of these 16 samples during retesting was the detection of bacterial agents without any relationship with other laboratory tests or with the patients' clinical condition. CONCLUSION: In our study, simply reproducing tests with atypical results from the FilmArray meningitis/encephalitis panel proved, in most cases, effective and sufficient for interpreting these results.

ANTECEDENTES: A meningoencefalite infecciosa é uma condição clínica potencialmente fatal que causa inflamação do sistema nervoso central secundária à instalação de diversos microrganismos. O painel de meningite/encefalite FilmArray permite a detecção simultânea de 14 patógenos, com resultados em cerca de uma hora. OBJETIVO: Este estudo baseia-se em avaliar retrospectivamente a implementação do painel de meningite/encefalite FilmArray em ambiente hospitalar, destacando os resultados gerais e, principalmente, analisando a consistência dos resultados do teste frente às condições clínicas e laboratoriais dos pacientes. MéTODOS: Os dados foram coletados por meio dos resultados relatados pelo software do sistema BioFire FilmArray do painel de meningite/encefalite. Os exames laboratoriais correlacionados utilizados em nossa análise, quando disponíveis, incluíram exames bioquímicos, citológicos, microbiológicos diretos e indiretos. RESULTADOS: No período analisado, foram 496 amostras com resultados divulgados. Do total de 496 amostras analisadas, 88 (17,75%) foram consideradas positivas e 90 patógenos foram detectados, sendo que em duas destas (2,27%) houve codetecção de patógenos. Os vírus foram os agentes mais frequentemente encontrados dentro do total de patógenos detectados. Das 496 amostras analisadas, 20 (4,03%) foram repetidas, sendo 5 repetidas por resultado inválido, 6 pela detecção de múltiplos patógenos e 9 por discordância dos resultados do painel com os demais exames laboratoriais e/ou divergência do quadro clínico-epidemiológico. Destas 20 amostras repetidas, apenas 4 delas (20%) mantiveram o resultado original após a repetição do teste, sendo 16 (80%) não reprodutíveis. O principal fator relacionado à discordância destas 16 amostras na retestagem foi a detecção de agentes bacterianos sem qualquer relação com os demais exames laboratoriais ou com o quadro clínico dos pacientes. CONCLUSãO: Em nosso estudo, a simples repetição dos testes com resultados atípicos do painel de meningite/encefalite FilmArray mostrou-se, na maior dos casos, efetiva e suficiente para a interpretação destes achados.

Evaluation of pathogen from the FilmArray meningitis/encephalitis panel and recommendations on atypical findings / Avaliação do patógeno do painel de meningite/encefalite FilmArray e recomendações sobre achados atípicos

Abstract Background Infectious meningoencephalitis is a potentially fatal clinical condition that causes inflammation of the central nervous system secondary to the installation of different microorganisms. The FilmArray meningitis/encephalitis panel allows the simultaneous detection of 14 pathogens with results in about one hour. Objective This study is based on retrospectively evaluating the implementation of the FilmArray meningitis/encephalitis panel in a hospital environment, highlighting the general results and, especially, analyzing the consistency of the test results against the clinical and laboratory conditions of the patients. Methods Data were collected through the results reported by the BioFire FilmArray system software from the meningitis/encephalitis panel. The correlated laboratory tests used in our analysis, when available, included biochemical, cytological, direct and indirect microbiological tests. Results In the analyzed period, there were 496 samples with released results. Of the total of 496 samples analyzed, 88 (17.75%) were considered positive, and 90 pathogens were detected, and in 2 of these (2.27%) there was co-detection of pathogens. Viruses were the agents most frequently found within the total number of pathogens detected. Of the 496 proven samples, 20 (4.03%) were repeated, 5 of which were repeated due to invalid results, 6 due to the detection of multiple pathogens and 9 due to disagreement between the panel results and the other laboratory tests and/or divergence of the clinical-epidemiological picture. Of these 20 repeated samples, only 4 of them (20%) maintained the original result after repeating the test, with 16 (80%) being non-reproducible. The main factor related to the disagreement of these 16 samples during retesting was the detection of bacterial agents without any relationship with other laboratory tests or with the patients' clinical condition. Conclusion In our study, simply reproducing tests with atypical results from the FilmArray meningitis/encephalitis panel proved, in most cases, effective and sufficient for interpreting these results.

Resumo Antecedentes A meningoencefalite infecciosa é uma condição clínica potencialmente fatal que causa inflamação do sistema nervoso central secundária à instalação de diversos microrganismos. O painel de meningite/encefalite FilmArray permite a detecção simultânea de 14 patógenos, com resultados em cerca de uma hora. Objetivo Este estudo baseia-se em avaliar retrospectivamente a implementação do painel de meningite/encefalite FilmArray em ambiente hospitalar, destacando os resultados gerais e, principalmente, analisando a consistência dos resultados do teste frente às condições clínicas e laboratoriais dos pacientes. Métodos Os dados foram coletados por meio dos resultados relatados pelo software do sistema BioFire FilmArray do painel de meningite/encefalite. Os exames laboratoriais correlacionados utilizados em nossa análise, quando disponíveis, incluíram exames bioquímicos, citológicos, microbiológicos diretos e indiretos. Resultados No período analisado, foram 496 amostras com resultados divulgados. Do total de 496 amostras analisadas, 88 (17,75%) foram consideradas positivas e 90 patógenos foram detectados, sendo que em duas destas (2,27%) houve codetecção de patógenos. Os vírus foram os agentes mais frequentemente encontrados dentro do total de patógenos detectados. Das 496 amostras analisadas, 20 (4,03%) foram repetidas, sendo 5 repetidas por resultado inválido, 6 pela detecção de múltiplos patógenos e 9 por discordância dos resultados do painel com os demais exames laboratoriais e/ou divergência do quadro clínico-epidemiológico. Destas 20 amostras repetidas, apenas 4 delas (20%) mantiveram o resultado original após a repetição do teste, sendo 16 (80%) não reprodutíveis. O principal fator relacionado à discordância destas 16 amostras na retestagem foi a detecção de agentes bacterianos sem qualquer relação com os demais exames laboratoriais ou com o quadro clínico dos pacientes. Conclusão Em nosso estudo, a simples repetição dos testes com resultados atípicos do painel de meningite/encefalite FilmArray mostrou-se, na maior dos casos, efetiva e suficiente para a interpretação destes achados.

Real-world genomic profiling of acute myeloid leukemia and the impact of European LeukemiaNet risk stratification 2022 update.

BACKGROUND: Acute myeloid leukemia (AML) is a myeloid neoplasm associated with a high morbidity and mortality. The diagnosis, risk stratification and therapy selection in AML have changed substantially in the last decade with the progressive incorporation of clinically relevant molecular markers. METHODS: In this work, our aim was to describe a real-world genomic profiling experience in AML and to demonstrate the impact of the European Leukemia Net 2022 update on risk stratification in AML. RESULTS AND DISCUSSION: One hundred and forty-one patients were evaluated with an amplicon-based multi-gene next-generation sequencing (NGS) panel. The most commonly mutated genes were FLT3, DNMT3A, RUNX1, IDH2, NPM1, ASXL1, SRSF2, NRAS, TP53 and TET2. Detection of FLT3 ITD with NGS had a sensitivity of 96.3% when compared to capillary electrophoresis. According to ELN 2017, 26.6%, 20.1%, and 53.3% of patients were classified as having a good, moderate, or unfavorable risk. When ELN 2022 was used, 15.6%, 27.8%, and 56.6% of patients were classified as favorable, moderate, or unfavorable risk, respectively. When ELN 2022 was compared to ELN 2017, thirteen patients (14.4%) exhibited a different risk classification, with a significant decrease in the number of favorable risk patients, what has immediate clinical impact. CONCLUSIONS: In conclusion, we have described a real-world genomic profiling experience in AML and the impact of the 2022 ELN update on risk stratification.