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345602

Prediction of (Covid-19) Patients Outcomes by Lung Ultrasound Score

Article

Last updated: 05 Jan 2025

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Tags

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Abstract

Background: Lung ultrasound (LUS) imaging is a quick, non-invasive, accurate and quantitative method. Its prognostic value in those with Coronavirus disease 2019 (COVID-19) is still unknown. Aim: To know if poor outcomes in COVID-19 patients could be predicted on the basis of LUS score at admission. Patients and methods: A prospective cohort study involved 40 patients diagnosed with COVID-19 according to Egyptian protocol for management of COVID-19 patients. All patients subjected to full history taking, clinical assessment, laboratory investigation (routine labs, serum ferritin, C-reactive  protein, LDH and D-dimer) and imaging (chest X-ray, ultrasound and CT without contrast). Results: The baseline LUS score of patients was significantly higher among patients who needed mechanical ventilation and patients who died at admission (p=0.012 and 0.015 at admission, respectively) and at 4th day (0.026 and 0.024 at 4th day, respectively). Baseline LUS score could predict the need of MV at cutoff value >17 with sensitivity 73.68%, specificity 66.67%, PPV 66.7% and NPV 73.7% and could predict the mortality at cut off value 17 with sensitivity 70%, specificity 65%, PPV 66.7%, NPV 68.4%. Conclusion: Lung ultrasound score was a strong predictor of mortality, ICU admission, and the need for mechanical ventilation in patients with critical condition.

DOI

10.21608/jicem.2024.248753.1026

Keywords

COVID-19, Lung ultrasound score, SARS-CoV-2

Authors

First Name

Mohamed

Last Name

El Kholy

MiddleName

B.

Affiliation

Critical care department, Faculty of medicine, Beni Suef University, Egypt

Email

mmbakry1212@yahoo.com

City

Beni-Suef

Orcid

-

First Name

David

Last Name

Neseam

MiddleName

Nabil Hindi

Affiliation

Critical care department, Faculty of medicine, Beni Suef University, Egypt

Email

davidnabilhindi@gmail.com

City

Beni Suef

Orcid

0000-0003-4408-8000

First Name

Hamdy

Last Name

Saber

MiddleName

-

Affiliation

Critical care department, Faculty of medicine, Beni Suef University, Egypt

Email

hamdysaber@hotmail.com

City

Beni Suef

Orcid

-

First Name

Mohamed

Last Name

Hamila

MiddleName

A.

Affiliation

Critical care department, Faculty of medicine, Beni Suef University, Egypt

Email

hamila@hotmail.com

City

-

Orcid

-

Volume

3

Article Issue

1

Related Issue

41723

Issue Date

2023-06-01

Receive Date

2023-11-14

Publish Date

2023-06-01

Page Start

70

Page End

80

Print ISSN

2812-5452

Online ISSN

2812-5460

Link

https://jicem.journals.ekb.eg/article_345602.html

Detail API

https://jicem.journals.ekb.eg/service?article_code=345602

Order

345,602

Type

Original papers

Type Code

2,351

Publication Type

Journal

Publication Title

The Egyptian Journal of Intensive Care and Emergency Medicine

Publication Link

https://jicem.journals.ekb.eg/

MainTitle

Prediction of (Covid-19) Patients Outcomes by Lung Ultrasound Score

Details

Type

Article

Created At

29 Dec 2024