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Predictive Models for Intensive Care Admission and Death of COVID-19

Conditions
COVID19
Pneumonia, Viral
Inflammatory Response
Interventions
Other: predict admission of covid-19 patients to ICU and death with routine and quickly avalaible clinical, biological and radiological variables?
Registration Number
NCT04401228
Lead Sponsor
Clinique Saint Pierre Ottignies
Brief Summary

To build simple and reliable predictive scores for intensive care admissions and deaths in COVID19 patients. These scores adhere to the TRIPOD (transparent reporting of a multivariable prediction model for individual prognosis or diagnosis) reporting guidelines.

The outcomes of the study are (i) admission in the Intensive Care Unit admission and (ii) death.

All patients admitted in the Emergency Department with a positive reverse transcription-polymerase chain reaction SARS-COV2 test were included in the study. Routine clinical and laboratory data were collected at their admission and during their stay. Chest X-Rays and CT-Scans were performed and analyzed by a senior radiologist.

Generalized Linear Models using a binomial distribution with a logit link function (R software version X) were used to develop predictive scores for (i) admission to ICU among emergency ward patients; (ii) death among ICU patients. A first panel of Number Models with the highest AIC (BIC) was preselected. Ten-fold cross-validation was then used to estimate the out-of-sample prediction error among these preselected models. The one with the smallest prediction error was in the end singled out .

Detailed Description

Not available

Recruitment & Eligibility

Status
UNKNOWN
Sex
All
Target Recruitment
60
Inclusion Criteria
  • RT-PCR + SARS Cov2 pneumonia
Exclusion Criteria
  • < 18 ans -* GOLD 3 or 4 CPOD

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
covid conventionnal wardpredict admission of covid-19 patients to ICU and death with routine and quickly avalaible clinical, biological and radiological variables?-
covid ICU patientspredict admission of covid-19 patients to ICU and death with routine and quickly avalaible clinical, biological and radiological variables?-
Primary Outcome Measures
NameTimeMethod
admission to ICUthrough study completion, an average of 1 year
Secondary Outcome Measures
NameTimeMethod
deaththrough study completion, an average of 1 year

Trial Locations

Locations (1)

Clinique Saint-Pierre

🇧🇪

Ottignies, Brabant Wallon, Belgium

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