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1.
Eur J Clin Microbiol Infect Dis ; 37(11): 2107-2115, 2018 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-30094522

RESUMO

Intra-abdominal infections (IAIs) are one of the most common type of infections in patients with sepsis and an important cause of death in intensive care units. Early detection and treatment are necessary to reduce patient complications and improve outcomes. The Unyvero IAI Application (Curetis GmbH) is the first automated assay to rapidly and simultaneously identify a large panel of bacteria, fungi, toxins, and antibiotic resistance markers directly from IAI-related samples. The assay was evaluated in four European clinical laboratories in comparison to routine microbiological practices. A total of 300 clinical samples were tested with an overall sensitivity of 89.3% and specificity of 99.5%, while time to results was reduced by an average of about 17 h compared to identification (ID) results and 41 h compared to full antibiotic susceptibility testing (AST) results. The Unyvero IAI was able to detect additional microorganisms compared with culture, in particular anaerobes, with most detections confirmed by sequencing. The most frequent resistance markers detected were mecA/mecC (n = 25), aacA4 (n = 20), and blaCTX-M (n = 17) and carbapenemase genes were identified in nine specimens. Further studies are now required to determine the clinical impact of this new rapid test which could play a role in the successful treatment of IAI.


Assuntos
Infecções Intra-Abdominais/diagnóstico , Infecções Intra-Abdominais/microbiologia , Técnicas Microbiológicas , Técnicas de Diagnóstico Molecular , Bactérias/efeitos dos fármacos , Bactérias/genética , Toxinas Bacterianas/genética , Testes Diagnósticos de Rotina , Resistência Microbiana a Medicamentos , Humanos , Reprodutibilidade dos Testes , Sensibilidade e Especificidade
2.
Acta Anaesthesiol Scand ; 53(5): 589-94, 2009 May.
Artigo em Inglês | MEDLINE | ID: mdl-19419351

RESUMO

BACKGROUND: The objective of this study was to validate the Simplified Acute Physiology Score SAPS 3 Admission Score (SAPS 3) and to compare its fit with that of SAPS II in an independent sample of patients admitted to a single-centre intensive care unit (ICU). METHODS: The data for all adult patients consecutively admitted to an eight-bed ICU of a 700-bed university hospital between 1 January 2006 and 2 September 2007 were collected. SAPS II and SAPS 3 were computed, as well as the predicted hospital mortality. The calibration of SAPS II and SAPS 3, according to the general equation (GE), and equations for Southern Europe and Mediterranean countries (SE&MC), and Central and Western Europe (C&WE), were assessed by the goodness-of-fit Hosmer-Lemeshow H and C statistics. Standardized mortality ratios (SMR) with 95% confidence interval (95% CI) were computed for SAPS II and SAPS 3 equations. RESULTS: Six hundred and eighty-four patients were studied (males 63%). The median age was 73 (quartiles 65-80) years. The fit of SAPS 3 using the C&WE equation (H 13.49, P=0.095; C 12.73, P=0.121) as well as that of SAPS II was acceptable (H 6.02, P=0.644; C12.08, P=0.147), while SAPS 3 GE (H 23.36, P=0.002; C 22.37, P=0.004) and S&MC (H 25.73, P=0.001; C 26.19, P=0.001) did not fit well. SAPS 3 GE, SAPS 3 SE&M Countries and the SAPS II significantly over estimated the mortality. Only 95% CI of SMR for SAPS 3 C&WE included 1 (SMR 0.97; 95% CI 0.89-1.05). CONCLUSION: Each ICU should identify the SAPS 3 equation most suitable for its case mix. The SAPS II model tended to overestimate the mortality.


Assuntos
Testes Diagnósticos de Rotina/normas , Unidades de Terapia Intensiva , Índice de Gravidade de Doença , Idoso , Idoso de 80 Anos ou mais , Algoritmos , Calibragem , Interpretação Estatística de Dados , Feminino , Mortalidade Hospitalar , Humanos , Masculino , Monitorização Fisiológica , Valor Preditivo dos Testes , Prognóstico , Controle de Qualidade , Curva ROC , Reprodutibilidade dos Testes , Software
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