Estimating risk of mechanical ventilation and in-hospital mortality among adult COVID-19 patients admitted to Mass General Brigham: The VICE and DICE scores.
Journal
EClinicalMedicine
ISSN: 2589-5370
Titre abrégé: EClinicalMedicine
Pays: England
ID NLM: 101733727
Informations de publication
Date de publication:
Mar 2021
Mar 2021
Historique:
received:
18
09
2020
revised:
22
01
2021
accepted:
04
02
2021
entrez:
3
3
2021
pubmed:
4
3
2021
medline:
4
3
2021
Statut:
ppublish
Résumé
Risk stratification of COVID-19 patients upon hospital admission is key for their successful treatment and efficient utilization of hospital resources. We sought to evaluate the risk factors on admission (including comorbidities, vital signs, and initial laboratory assessment) associated with ventilation need and in-hospital mortality in COVID-19. We established a retrospective cohort of COVID-19 patients from Mass General Brigham hospitals. Demographic, clinical, and admission laboratory data were obtained from electronic medical records of patients admitted to the hospital with laboratory-confirmed COVID-19 before May 19, 2020. Multivariable logistic regression analyses were used to construct and validate the Ventilation in COVID Estimator (VICE) and Death in COVID Estimator (DICE) risk scores. The entire cohort included 1042 patients (median age, 64 years; 56.8% male). The derivation and validation cohorts for the risk scores included 578 and 464 patients, respectively. We found four factors to be independently predictive for mechanical ventilation requirement (diabetes mellitus, SpO The risk scores developed in this study may help clinicians more appropriately determine which COVID-19 patients will need to be managed with greater intensity. COVID-19 Fast Grant (fastgrants.org).
Sections du résumé
BACKGROUND
BACKGROUND
Risk stratification of COVID-19 patients upon hospital admission is key for their successful treatment and efficient utilization of hospital resources. We sought to evaluate the risk factors on admission (including comorbidities, vital signs, and initial laboratory assessment) associated with ventilation need and in-hospital mortality in COVID-19.
METHODS
METHODS
We established a retrospective cohort of COVID-19 patients from Mass General Brigham hospitals. Demographic, clinical, and admission laboratory data were obtained from electronic medical records of patients admitted to the hospital with laboratory-confirmed COVID-19 before May 19, 2020. Multivariable logistic regression analyses were used to construct and validate the Ventilation in COVID Estimator (VICE) and Death in COVID Estimator (DICE) risk scores.
FINDINGS
RESULTS
The entire cohort included 1042 patients (median age, 64 years; 56.8% male). The derivation and validation cohorts for the risk scores included 578 and 464 patients, respectively. We found four factors to be independently predictive for mechanical ventilation requirement (diabetes mellitus, SpO
INTERPRETATION
CONCLUSIONS
The risk scores developed in this study may help clinicians more appropriately determine which COVID-19 patients will need to be managed with greater intensity.
FUNDING
BACKGROUND
COVID-19 Fast Grant (fastgrants.org).
Identifiants
pubmed: 33655204
doi: 10.1016/j.eclinm.2021.100765
pii: S2589-5370(21)00045-6
pmc: PMC7906522
doi:
Types de publication
Journal Article
Langues
eng
Pagination
100765Subventions
Organisme : NHLBI NIH HHS
ID : T32 HL007208
Pays : United States
Commentaires et corrections
Type : UpdateOf
Informations de copyright
© 2021 The Author(s).
Déclaration de conflit d'intérêts
All authors have nothing to disclose.
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