Vieceli, Tarsila
Oliveira Filho, Cilomar Martins de
Berger, Mariana
Petersen Saadi, Marina
Salvador, Pedro Antonio
Bressan Anizelli, Leonardo
Freitas Crivelaro, Pedro Castilhos de
Butzke, Mauricio
Souza Zappelini, Roberta de
Santos Seligman, Beatriz Graeff dos
Seligman, Renato
2020-09-28T19:30:53Z
2020-09-28T19:30:53Z
2020
1413-8670
https://doi.org/10.1016/j.bjid.2020.06.009
http://hdl.handle.net/20.500.12010/13931
Objectives: Differential diagnosis of COVID-19 includes a broad range of conditions. Prioritizing containment efforts, protective personal equipment and testing can be challenging. Our
aim was to develop a tool to identify patients with higher probability of COVID-19 diagnosis
at admission.
Methods: This cross-sectional study analyzed data from 100 patients admitted with suspected COVID-19. Predictive models of COVID-19 diagnosis were performed based on
radiology, clinical and laboratory findings; bootstrapping was performed in order to account
for overfitting.
Results: A total of 29% of patients tested positive for SARS-CoV-2. Variables associated with
COVID-19 diagnosis in multivariate analysis were leukocyte count ≤7.7 × 103 mm–3, LDH
>273 U/L, and chest radiographic abnormality. A predictive score was built for COVID-19
diagnosis, with an area under ROC curve of 0.847 (95% CI 0.77–0.92), 96% sensitivity and
73.5% specificity. After bootstrapping, the corrected AUC for this model was 0.827 (95% CI
0.75–0.90).
Conclusions: Considering unavailability of RT-PCR at some centers, as well as its questionable early sensitivity, other tools might be used in order to identify patients who should be
prioritized for testing, re-testing and admission to isolated wards. We propose a predictive
score that can be easily applied in clinical practice. This score is yet to be validated in larger
populations
6 páginas
application/pdf
eng
The Brazilian Journal of ifectius deseases
reponame:Expeditio Repositorio Institucional UJTL
instname:Universidad de Bogotá Jorge Tadeo Lozano
Diagnosis
COVID-19
SARS-CoV-2
Predictive score
A predictive score for COVID-19 diagnosis using clinical, laboratory and chest image data
Artículo
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/acceptedVersion
Abierto (Texto Completo)
https://doi.org/10.1016/j.bjid.2020.06.009
http://purl.org/coar/resource_type/c_2df8fbb1