Evidence map›Paper›PMID 36072822›Full record

ArticleInternational journal of clinical practice2022

Risk Factors Associated with Mortality in COVID-19 Hospitalized Patients: Data from the Middle East.

Reema A Karasneh, Basheer Y Khassawneh, Sayer Al-Azzam, Abdel-Hameed Al-Mistarehi, William J Lattyak, Motasem Aldiab, Suad Kabbaha, Syed Shahzad Hasan, Barbara R Conway, Mamoon A Aldeyab

Open access · goldAbstract read
In one paragraph

Article in International journal of clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

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

10 authors at 6 institutions in 4 countries.

Reema A KarasnehDepartment of Basic Medical Sciences, Faculty of Medicine, Yarmouk University, Irbid, Jordan.ORCID https://orcid.org/0000-0002-2919-1280
Basheer Y KhassawnehDepartment of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.ORCID https://orcid.org/0000-0003-2160-4498
Sayer Al-AzzamDepartment of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.ORCID https://orcid.org/0000-0002-3414-7970
Abdel-Hameed Al-MistarehiDepartment of Public Health and Family Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.ORCID https://orcid.org/0000-0003-4713-8536
William J LattyakScientific Computing Associates Corp., River Forest, IL, USA.
Motasem AldiabDepartment of Computing, British Columbia Institute of Technology, Vancouver, Canada.
Suad KabbahaDepartment of Health Research Methods, Evidence & Impact (HEI), McMaster University, Hamilton, Canada.
Syed Shahzad HasanDepartment of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, UK.ORCID https://orcid.org/0000-0002-4058-2215
Barbara R ConwayDepartment of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, UK.ORCID https://orcid.org/0000-0001-5570-3318
Mamoon A AldeyabDepartment of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, UK.ORCID https://orcid.org/0000-0001-8148-7612
Jordan University of Science and Technology · JOUniversity of Huddersfield · GBBritish Columbia Institute of Technology · CAImpact · CAScientific Computing Associates (United States) · USYarmouk University · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess the risk factors for COVID-19 mortality among hospitalized patients in Jordan. All COVID-19 patients admitted to a tertiary hospital in Jordan from September 20, 2020, to August 8, 2021, were included in this study. Demographics, clinical characteristics, comorbidities, and laboratory results were extracted from the patients' electronic records. Multivariable logistic and machine learning (ML) methods were used to study variable importance. Out of 1,613 COVID-19 patients, 1,004 (62.2%) were discharged from the hospital (survived), while 609 (37.8%) died. Patients who were of elderly age (>65 years) (OR, 2.01; 95% CI, 1.28-3.16), current smokers (OR, 1.61; 95%CI, 1.17-2.23), and had severe or critical illness at admission ((OR, 1.56; 95%CI, 1.05-2.32) (OR, 2.94; 95%CI, 2.02-4.27); respectively), were at higher risk of mortality. Comorbidities including chronic kidney disease (OR, 2.90; 95% CI, 1.90-4.43), deep venous thrombosis (OR, 2.62; 95% CI, 1.08-6.35), malignancy (OR, 2.22; 95% CI, 1.46-3.38), diabetes (OR, 1.31; 95% CI, 1.04-1.65), and heart failure (OR, 1.51; 95% CI, 1.02-2.23) were significantly associated with increased risk of mortality. Laboratory abnormalities associated with mortality included hypernatremia (OR, 11.37; 95% CI, 4.33-29.81), elevated aspartate aminotransferase (OR, 1.81; 95% CI, 1.42-2.31), hypoalbuminemia (OR, 1.75; 95% CI, 1.37-2.25), and low platelets level (OR, 1.43; 95% CI, 1.05-1.95). Several demographic, clinical, and laboratory risk factors for COVID-19 mortality were identified. This study is the first to examine the risk factors associated with mortality using ML methods in the Middle East. This will contribute to a better understanding of the impact of the disease and improve the outcome of the pandemic worldwide.

Indexed as

COVID-19AgedHumansMiddle EastRetrospective StudiesRisk FactorsTertiary Care Centers

Identifiers

PMID36072822
PMCPMC9398873
OpenAlexW4291993677

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.