Cet article est une Preprint
Les preprints sont des rapports de recherche préliminaires qui n'ont pas été certifiés par l’évaluation par les pairs. Ils ne devraient pas être considérés comme guidant la pratique clinique ou les comportements liés à la santé et ne devraient pas être rapportés dans les médias comme des informations établies.
Les preprints publiées en ligne permettent aux auteurs de recevoir des commentaires rapidement, et toute la communauté scientifique peut évaluer indépendamment le travail et répondre en conséquence. Ces commentaires sont publiés avec les preprints que quiconque peut lire et servir d’évaluation post-publication.
Validation of reported risk factors for disease classification and prognosis in COVID-19: a descriptive and retrospective study (preprint)
medrxiv; 2020.
Preprint
Dans Anglais
| medRxiv | ID: ppzbmed-10.1101.2020.04.05.20053769
ABSTRACT
Risk indicators viral load (ORF1ab Ct), lymphocyte percentage (LYM%), C-reactive protein (CRP), interleukin-6 (IL-6), procalcitonin (PCT) and lactic acid (LA) in COVID-19 patients have been proposed in recent studies. However, the predictive effects of those indicators on disease classification and prognosis remains largely unknown. We dynamically measured those reported indicators in 132 cases of COVID-19 patients including the moderate-cured (moderated and cured), severe-cured (severe and cured) and critically ill (died). Our data showed that CRP, PCT, IL-6, LYM%, lactic acid and viral load could predict prognosis and guide classification of COVID-19 patients in different degrees. CRP, IL-6 and LYM% were more effective than other three factors in predicting prognosis. For disease classification, CRP and LYM% were sensitive in identifying the types between critically ill and severe (or moderate). Notably, among the investigated factors, LYM% was the only one that could distinguish between the severe and moderate types. Collectively, we concluded that LYM% was the most sensitive and reliable predictor for disease typing and prognosis. During the COVID-19 pandemic, the precise classification and prognosis prediction are critical for saving the insufficient medical resources, stratified treatment and improving the survival rate of critically ill patients. We recommend that LYM% be used independently or in combination with other indicators in the management of COVID-19.
Texte intégral:
Disponible
Collection:
Preprints
Base de données:
medRxiv
Sujet Principal:
Maladie grave
/
COVID-19
langue:
Anglais
Année:
2020
Type de document:
Preprint
Documents relatifs à ce sujet
MEDLINE
...
LILACS
LIS