Letícia Vellozo dos Reis

Dr. Letícia Vellozo dos Reis


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 December 2022 in Antibiotics
Verified
Journal Article
Open access
PDF file
MGMarisa Zenaide Ribeiro Gomes
Marisa Zenaide Ribeiro Gomes
DBDouglas Quintanilha Braga
Douglas Quintanilha Braga
DPDebora Otero Britto Passos Pinheiro
Debora Otero Britto Passos Pinheiro
RVRenata Cristina Amorim Silveira Verduc
Renata Cristina Amorim Silveira Verduc
LRLetícia Vellozo dos Reis
Letícia Vellozo dos Reis
SJSaint Clair dos Santos Gomes Junior
Saint Clair dos Santos Gomes Junior
A clinical–epidemiological score to predict CR-GNB sepsis to guide empirical antimicrobial therapy (EAT), using local data, persists as an unmet need. On the basis of a case–case–control design in a prospective cohort study, the predictive factors for CR-GNB sepsis were previously determined as prior infection, use of mechanical ventilation and carbapenem, and length of hospital stay. In this study, each factor was scored according to the logistic regression coefficients, and the ROC curve analysis determined its accuracy in predicting CR-GNB sepsis in the entire cohort. Among the total of 629 admissions followed by 7797 patient-days, 329 single or recurrent episodes of SIRS/sepsis were enrolled, from August 2015 to March 2017. At least one species of CR-GNB was identified as the etiology in 108 (33%) episodes, and 221 were classified as the control group. The cutoff point of ≥3 (maximum of 4) had the best sensitivity/specificity, while ≤1 showed excellent sensitivity to exclude CR-GNB sepsis. The area under the curve was 0.80 (95% CI: 0.76–0.85) and the number needed to treat was 2.0. The score may improve CR-GNB coverage and spare polymyxins with 22% (95% CI: 17–28%) adequacy rate change. The score has a good ability to predict CR-GNB sepsis and to guide EAT in the future.