Evidence map›Paper›PMID 37692055›Full record

ArticleMultidisciplinary respiratory medicine2023

Utility of the 4C ISARIC mortality score in hospitalized COVID-19 patients at a large tertiary Saudi Arabian center.

Usama E Abu Elhassan, Saad M A Alqahtani, Naif S Al Saglan, Ali Hawan, Faisal S Alqahtani, Roaa S Almtheeb, Magda S R Abdelwahab, Mohammed A AlFlan, Abdulaziz S Y Alfaifi, Mohammed A Alqahtani and 6 more

Abstract read
In one paragraph

Article in Multidisciplinary respiratory medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Usama E Abu ElhassanDepartment of Internal Medicine, Armed Forces Hospital Southern Region (AFHSR), Khamis Mushayt, Saudi Arabia.
Saad M A AlqahtaniDepartment of Internal Medicine, Armed Forces Hospital Southern Region (AFHSR), Khamis Mushayt, Saudi Arabia.
Naif S Al SaglanDepartment of Internal Medicine, Armed Forces Hospital Southern Region (AFHSR), Khamis Mushayt, Saudi Arabia.
Ali HawanDepartment of Pathology and Laboratory Medicine, Armed Forces Hospital Southern Region (AFHSR), Khamis Mushayt, Saudi Arabia.
Faisal S AlqahtaniInfectious Diseases and Notification Unit, Armed Forces Hospital Southern Region (AFHSR), Khamis Mushayt, Saudi Arabia.
Roaa S AlmtheebDepartment of Pathology and Laboratory Medicine, Armed Forces Hospital Southern Region (AFHSR), Khamis Mushayt, Saudi Arabia.
Magda S R AbdelwahabDepartment of Anesthesia and Intensive Care, Faculty of Medicine, Cairo University, Cairo, Egypt.
Mohammed A AlFlanDepartment of Internal Medicine, Armed Forces Hospital Southern Region (AFHSR), Khamis Mushayt, Saudi Arabia.
Abdulaziz S Y AlfaifiDepartment of Internal Medicine, Armed Forces Hospital Southern Region (AFHSR), Khamis Mushayt, Saudi Arabia.
Mohammed A AlqahtaniDepartment of Internal Medicine, Armed Forces Hospital Southern Region (AFHSR), Khamis Mushayt, Saudi Arabia.
Fawwaz A AlshafaDepartment of Internal Medicine, Armed Forces Hospital Southern Region (AFHSR), Khamis Mushayt, Saudi Arabia.
Ali A AlsalemDepartment of Internal Medicine, Armed Forces Hospital Southern Region (AFHSR), Khamis Mushayt, Saudi Arabia.
Yahya A Al-ImamahDepartment of Internal Medicine, Armed Forces Hospital Southern Region (AFHSR), Khamis Mushayt, Saudi Arabia.
Omar S A AbdelwahabAl Faisal University, Riyadh, Saudi Arabia.
Mohammed F AttiaDepartment of Critical Care, Armed Forces Hospital Southern Region (AFHSR), Khamis Mushayt, Saudi Arabia.
Ibrahim M A MahmoudDepartment of Critical Care, Armed Forces Hospital Southern Region (AFHSR), Khamis Mushayt, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC) 4C mortality score has been used before as a valuable tool for predicting mortality in COVID-19 patients. We aimed to address the utility of the 4C score in a well-defined Saudi population with COVID-19 admitted to a large tertiary referral hospital in Saudi Arabia. Methods: A retrospective study was conducted that included all adults COVID Results: A total of 1,853 patients were enrolled. The ROC curve of the 4C score had an area under the curve of 0.73 (95% CI: 0.702-0.758), p<0.001. The sensitivity and specificity with scores >8 were 80% and 58%, respectively, the positive and negative predictive values were 28% and 93%, respectively. Three hundred and sixteen (17.1%), 638 (34.4%), 814 (43.9%), and 85 (4.6%) patients had low, intermediate, high, and very high values, respectively. There were significant differences between survivors and non-survivors with regard to all variables used in the calculation of the 4C score. Multivariable logistic regression analysis revealed that all components of the 4C score, except gender and O Conclusions: Our data support previous international and Saudi studies that the 4C mortality score is a reliable tool with good sensitivity and specificity in the mortality prediction of COVID-19 patients. All components of the 4C score, except gender and O

Indexed as

4CCOVID-19ISARICmortalitypredictorSaudi Arabiautility

Identifiers

PMID37692055
PMCPMC10483479

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.