Evidence map›Paper›PMID 35510030›Full record

ArticleCureus2022

Haematological, Biochemical, and Inflammatory Biomarkers of COVID-19 Patients Hospitalized in Critical Unit: A Retrospective Study.

Radi T Alsafi, Faisal Minshawi, Ahmad Alshareef, Essa Althobiany, Afnan Alqurashi, Ayat Zawawi, Ahmed Qasem, Amr J Halawani, Mohammed Almatrafi, Hassan Alwafi and 3 more

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Radi T AlsafiLaboratory Medicine Department, Faculty of Applied Medical Sciences, Umm Al-Qura University, Mecca, SAU.
Faisal MinshawiLaboratory Medicine Department, Faculty of Applied Medical Sciences, Umm Al-Qura University, Mecca, SAU.
Ahmad AlshareefClinical Molecular Department, Regional Laboratory in Makkah, Ministry of Health, Mecca, SAU.
Essa AlthobianyLaboratory and Blood Bank, Al Noor Specialist Hospital, Ministry of Health, Mecca, SAU.
Afnan AlqurashiMolecular Biology, Independent Researcher, Mecca, SAU.
Ayat ZawawiDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, SAU.
Ahmed QasemLaboratory Medicine Department, Faculty of Applied Medical Sciences, Umm Al-Qura University, Mecca, SAU.
Amr J HalawaniLaboratory Medicine Department, Faculty of Applied Medical Sciences, Umm Al-Qura University, Mecca, SAU.
Mohammed AlmatrafiDepartment of Pediatrics, Umm Al-Qura University, Mecca, SAU.
Hassan AlwafiPharmacology and Therapeutics, Umm Al-Qura University, Mecca, SAU.
Mohammed SamannodiDepartment of Medicine, Faculty of Medicine, Umm Al-Qura University, Mecca, SAU.
Emad SalawatiFamily Medicine, King Abdulaziz University, Jeddah, SAU.
Hamza M AssaggafLaboratory Medicine Department, Faculty of Applied Medical Sciences, Umm Al-Qura University, Mecca, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe World Health Organization declared coronavirus disease 2019 (COVID-19) responsible for a catastrophic global pandemic. The complexity of COVID-19 is centred on the unpredictable course of the disease, which can rapidly develop from patients being asymptomatic to having life-threatening symptoms. The unpredictable disease severity of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been a major problem facing the healthcare system during the pandemic. Identifying the laboratory biomarkers would help predict SARS-CoV-2 pathogenicity. This study focused on the previous literature regarding three laboratory biomarker profiles: haematological, inflammatory, and biochemical biomarkers.

methodsA retrospective study of COVID-19 patients was conducted between May 2020 and September 2020 to determine the predictors of hospitalization (severity) in COVID-19 patients. Patients were divided into two groups: those admitted to an intensive care unit (ICU, severe) and those admitted to a non-ICU (stable). Patients' data were obtained from their medical records at Al Noor Specialist Hospital and East Arafat Hospital in Saudi Arabia.

resultsA total of 487 patients with COVID-19, including 304 males and 183 females, were investigated in this study. A total of 217 patients were admitted to the ICU. Patients admitted to the ICU had a higher prevalence of chronic comorbidities than non-ICU patients. D-dimer, white blood cells (WBC), neutrophils, ferritin, C-reactive protein (CRP), lactate dehydrogenase (LDH), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) were more elevated in patients admitted to the ICU compared to non-ICU patients.

conclusionChronic comorbidities are a significant predictor for admission to the ICU. Moreover, tests for D-dimer, WBC, neutrophils, lymphocytes, CRP, LDH, and ALT could be used to predict patients' admission to the ICU.

Indexed as

chronic comorbiditiescovid-19icuinflammatory biomarkerssars-cov-2

Identifiers

PMID35510030
PMCPMC9060743

What Socratic holds

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Registered trials

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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 Socratic graph.