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Development and Validation of a Survival Calculator for Hospitalized Patients with COVID-19.
medRxiv ; 2020 Apr 27.
Article in English | MEDLINE | ID: covidwho-827660
Semantic information from SemMedBD (by NLM)
1. COVID-19 PROCESS_OF hospitalized patients
Subject
COVID-19
Predicate
PROCESS_OF
Object
hospitalized patients
2. COVID-19 COEXISTS_WITH Severe disorder
Subject
COVID-19
Predicate
COEXISTS_WITH
Object
Severe disorder
3. Serum LOCATION_OF sodium
Subject
Serum
Predicate
LOCATION_OF
Object
sodium
4. COVID-19 PROCESS_OF hospitalized patients
Subject
COVID-19
Predicate
PROCESS_OF
Object
hospitalized patients
5. COVID-19 COEXISTS_WITH Severe disorder
Subject
COVID-19
Predicate
COEXISTS_WITH
Object
Severe disorder
6. Serum LOCATION_OF sodium
Subject
Serum
Predicate
LOCATION_OF
Object
sodium
ABSTRACT

BACKGROUND:

Chinese studies reported predictors of severe disease and mortality associated with coronavirus disease 2019 (COVID-19). A generalizable and simple survival calculator based on data from US patients hospitalized with COVID-19 has not yet been introduced.

OBJECTIVE:

Develop and validate a clinical tool to predict 7-day survival in patients hospitalized with COVID-19.

DESIGN:

Retrospective and prospective cohort study.

SETTING:

Thirteen acute care hospitals in the New York City area.

PARTICIPANTS:

Adult patients hospitalized with a confirmed diagnosis of COVID-19. The development and internal validation cohort included patients hospitalized between March 1 and May 6, 2020. The external validation cohort included patients hospitalized between March 1 and May 5, 2020. MEASUREMENTS Demographic, laboratory, clinical, and outcome data were extracted from the electronic health record. Optimal predictors and performance were identified using least absolute shrinkage and selection operator (LASSO) regression with receiver operating characteristic curves and measurements of area under the curve (AUC).

RESULTS:

The development and internal validation cohort included 11 095 patients with a median age of 65 years [interquartile range (IQR) 54-77]. Overall 7-day survival was 89%. Serum blood urea nitrogen, age, absolute neutrophil count, red cell distribution width, oxygen saturation, and serum sodium were identified as the 6 optimal of 42 possible predictors of survival. These factors constitute the NOCOS (Northwell COVID-19 Survival) Calculator. Performance in the internal validation, prospective validation, and external validation were marked by AUCs of 0.86, 0.82, and 0.82, respectively.

LIMITATIONS:

All participants were hospitalized within the New York City area.

CONCLUSIONS:

The NOCOS Calculator uses 6 factors routinely available at hospital admission to predict 7-day survival for patients hospitalized with COVID-19. The calculator is publicly available at https//feinstein.northwell.edu/NOCOS.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Language: English Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Language: English Year: 2020 Document Type: Article