Este artigo é um Preprint
Preprints são relatos preliminares de pesquisa que não foram certificados pela revisão por pares. Eles não devem ser considerados para orientar a prática clínica ou comportamentos relacionados à saúde e não devem ser publicados na mídia como informação estabelecida.
Preprints publicados online permitem que os autores recebam feedback rápido, e toda a comunidade científica pode avaliar o trabalho independentemente e responder adequadamente. Estes comentários são publicados juntamente com os preprints para qualquer pessoa ler e servir como uma avaliação pós-publicação.
Validation of the Kuwait Progression Indicator Score for predicting progression of severity in COVID19
Preprint
em Inglês
| medRxiv
| ID: ppmedrxiv-20108639
ABSTRACT
IntroductionIdentifying patients with COVID-19, at risk of having a severe clinical course during their hospitalization is important for appropriate allocation of clinical resources. We recently described the Kuwait Progression Indicator based on laboratory findings, in an initial training cohort derived from the first series of 1096 consecutive patients admitted to Jaber Al-Ahmad Al-Sabah Hospital in Kuwait. The aim of this study was to validate the KPI scoring system in an independent cohort of patients with COVID-19. MethodologyData was collected prospectively for consecutive patients admitted to Jaber Al-Ahmad Al-Sabah Hospital in Kuwait between 24th February - 28th April 2020. Patients were grouped according to the severity of their clinical course as their main outcome, based on clinical and radiological parameters, with ICU admission and death as secondary outcomes. Model discrimination was assessed through the area under the receiver operating characteristic curve (AUC) while model calibration was assessed through a calibration plot and measures of slope and calibration in the large (CITL). ResultsOf 752 patients not used in model development previously, 414 met the criteria for inclusion in this validation study. The baseline characteristics for these 752 patients were similar to the patients that were included in our validation cohort. The area under the curve was equal to 0.904 (95% CI, 0.867-0.942), indicating good model discrimination. The calibration plot and CITL confirmed reasonably good model calibration. Sensitivity and specificity were above 90% for the low and high risk levels respectively. ConclusionsWe were able to validate our previously described laboratory based prognostic scoring system for COVID-19 patients, to predict which patients progressed to a severe clinical course.
cc_by_nc_nd
Texto completo:
Disponível
Coleções:
Preprints
Base de dados:
medRxiv
Tipo de estudo:
Cohort_studies
/
Estudo diagnóstico
/
Estudo observacional
/
Estudo prognóstico
Idioma:
Inglês
Ano de publicação:
2020
Tipo de documento:
Preprint