Novel coronavirus disease 2019: predicting prognosis with a computed tomography-based disease severity score and clinical laboratory data.
Pol Arch Intern Med
; 130(7-8): 629-634, 2020 08 27.
Article
in English
| MEDLINE | ID: covidwho-761202
ABSTRACT
INTRODUCTION:
Currently, there are known contributing factors but no comprehensive methods for predicting the mortality risk or intensive care unit (ICU) admission in patients with novel coronavirus disease 2019 (COVID19).OBJECTIVES:
The aim of this study was to explore risk factors for mortality and ICU admission in patients with COVID19, using computed tomography (CT) combined with clinical laboratory data. PATIENTS ANDMETHODS:
Patients with polymerase chain reaction-confirmed COVID19 (n = 63) from university hospitals in Tehran, Iran, were included. All patients underwent CT examination. Subsequently, a total CT score and the number of involved lung lobes were calculated and compared against collected laboratory and clinical characteristics. Univariable and multivariable proportional hazard analyses were used to determine the association among CT, laboratory and clinical data, ICU admission, and inhospital death.RESULTS:
By univariable analysis, inhospital mortality was higher in patients with lower oxygen saturation on admission (below 88%), higher CT scores, and a higher number of lung lobes (more than 4) involved with a diffuse parenchymal pattern. By multivariable analysis, inhospital mortality was higher in those with oxygen saturation below 88% on admission and a higher number of lung lobes involved with a diffuse parenchymal pattern. The risk of ICU admission was higher in patients with comorbidities (hypertension and ischemic heart disease), arterial oxygen saturation below 88%, and pericardial effusion.CONCLUSIONS:
We can identify factors affecting inhospital death and ICU admission in COVID-19. This can help clinicians to determine which patients are likely to require ICU admission and to inform strategic healthcare planning in critical conditions such as the COVID19 pandemic.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pneumonia, Viral
/
Coronavirus Infections
/
Real-Time Polymerase Chain Reaction
/
Betacoronavirus
Type of study:
Diagnostic study
/
Observational study
/
Prognostic study
Limits:
Adult
/
Aged
/
Female
/
Humans
/
Male
/
Middle aged
/
Young adult
Country/Region as subject:
Asia
/
Europa
Language:
English
Journal:
Pol Arch Intern Med
Year:
2020
Document Type:
Article
Affiliation country:
Pamw.15422
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