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Novel coronavirus disease 2019: predicting prognosis with a computed tomography-based disease severity score and clinical laboratory data.
Sabri, Ali; Davarpanah, Amir H; Mahdavi, Arash; Abrishami, Alireza; Khazaei, Mehdi; Heydari, Saman; Asgari, Reyhane; Nekooghadam, Seyyed Mojtaba; Dobranowski, Julian; Taheri, Morteza Sanei.
  • Sabri A; Department of Radiology, McMaster University, Niagara Health, St. Catharines, Ontario, Canada. sabri.ali@gmail.com
  • Davarpanah AH; Department of Radiology, Emory University School of Medicine, Emory University Hospital, Atlanta, Georgia, United States
  • Mahdavi A; Department of Radiology, Shahid Beheshti University of Medical Sciences, Modarres Hospital, Tehran, Iran
  • Abrishami A; Department of Radiology, Shahid Beheshti University of Medical Sciences, Labbafinejad Hospital, Tehran, Iran
  • Khazaei M; Department of Radiology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • Heydari S; Department of Radiology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • Asgari R; Department of Radiology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • Nekooghadam SM; Department of Internal Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  • Dobranowski J; Department of Radiology, McMaster University, Niagara Health, St. Catharines, Ontario, Canada
  • Taheri MS; Department of Radiology, Shahid Beheshti University of Medical Sciences, Shohada-e-Tajrish Hospital, Tehran, Iran
Pol Arch Intern Med ; 130(7-8): 629-634, 2020 08 27.
Article in English | MEDLINE | ID: covidwho-761202
Semantic information from SemMedBD (by NLM)
1. COVID-19 PROCESS_OF Patients
Subject
COVID-19
Predicate
PROCESS_OF
Object
Patients
2. risk factors PROCESS_OF Patients
Subject
risk factors
Predicate
PROCESS_OF
Object
Patients
3. lobe PART_OF Lung
Subject
lobe
Predicate
PART_OF
Object
Lung
4. Parenchyma LOCATION_OF Diffuse Pattern
Subject
Parenchyma
Predicate
LOCATION_OF
Object
Diffuse Pattern
5. Comorbidity PROCESS_OF Patients
Subject
Comorbidity
Predicate
PROCESS_OF
Object
Patients
6. Coronary Arteriosclerosis PROCESS_OF Patients
Subject
Coronary Arteriosclerosis
Predicate
PROCESS_OF
Object
Patients
7. Hypertensive disease PROCESS_OF Patients
Subject
Hypertensive disease
Predicate
PROCESS_OF
Object
Patients
8. Death in hospital COEXISTS_WITH COVID-19
Subject
Death in hospital
Predicate
COEXISTS_WITH
Object
COVID-19
9. Health care facility LOCATION_OF Strategic Planning
Subject
Health care facility
Predicate
LOCATION_OF
Object
Strategic Planning
10. Clinician DIAGNOSES Disease
Subject
Clinician
Predicate
DIAGNOSES
Object
Disease
11. COVID-19 PROCESS_OF Patients
Subject
COVID-19
Predicate
PROCESS_OF
Object
Patients
12. risk factors PROCESS_OF Patients
Subject
risk factors
Predicate
PROCESS_OF
Object
Patients
13. lobe PART_OF Lung
Subject
lobe
Predicate
PART_OF
Object
Lung
14. Parenchyma LOCATION_OF Diffuse Pattern
Subject
Parenchyma
Predicate
LOCATION_OF
Object
Diffuse Pattern
15. Comorbidity PROCESS_OF Patients
Subject
Comorbidity
Predicate
PROCESS_OF
Object
Patients
16. Coronary Arteriosclerosis PROCESS_OF Patients
Subject
Coronary Arteriosclerosis
Predicate
PROCESS_OF
Object
Patients
17. Hypertensive disease PROCESS_OF Patients
Subject
Hypertensive disease
Predicate
PROCESS_OF
Object
Patients
18. Death in hospital COEXISTS_WITH COVID-19
Subject
Death in hospital
Predicate
COEXISTS_WITH
Object
COVID-19
19. Health care facility LOCATION_OF Strategic Planning
Subject
Health care facility
Predicate
LOCATION_OF
Object
Strategic Planning
20. Clinician DIAGNOSES Disease
Subject
Clinician
Predicate
DIAGNOSES
Object
Disease
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 AND

METHODS:

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.
Subject(s)

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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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