Evidence map›Paper›PMID 34855832›Full record

ArticlePloS one2021

The inflammatory biomarkers profile of hospitalized patients with COVID-19 and its association with patient's outcome: A single centered study.

Ibrahim Y Hachim, Mahmood Y Hachim, Haifa Hannawi, Kashif Bin Naeem, Abdulla Salah, Suad Hannawi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  6. The Impact of Vaccination on COVID-19 Outcomes in Vietnam.Diagnostics (Basel, Switzerland) · 2024
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  7. Observational
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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

6 authors at 4 institutions in 1 country.

Ibrahim Y HachimSharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates.ORCID 0000-0001-6438-9455
Mahmood Y HachimCollege of Medicine, Mohammed bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.ORCID 0000-0002-7096-0731
Haifa HannawiMohammed bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
Kashif Bin NaeemMinistry of Health and Prevention (MOHAP), Dubai, UAE.
Abdulla SalahGulf Medical University, Ajman, United Arab Emirates.
Suad HannawiMinistry of Health and Prevention (MOHAP), Dubai, UAE.
Ministry of Health · AEMohammed Bin Rashid University of Medicine and Health Sciences · AEGulf Medical University · AEUniversity of Sharjah · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several reports highlighted the central role of inflammation in the pathogenesis of corona virus disease-19 (COVID-19) disease. Also, the hyper-inflammatory response that is triggered by severe acute respiratory syndrom-Covid-2 (SARS-CoV-2) infection was believed to play an essential role in disease severity and adverse clinical course. For that reason, the classical inflammatory markers were proposed as a possible indicator for COVID-19 severity. However, an extensive analysis of the predictive value of inflammatory biomarkers in large patients' cohorts is still limited and critically needed. In this study we investigated the predictive value of the classical inflammatory biomarkers in a patient cohort consists of 541 COVID-19 patients admitted to Al Kuwait Hospital, Dubai, UAE. A detailed analysis of the association between the essential inflammatory markers and clinical characteristics as well as clinical outcome of the patients were made. In addition, the correlation between those markers and a wide range of laboratory biomarkers and incidence of acute organs injury were investigated. Our results showed a significant elevation of many inflammatory markers including white cell count (WBC) count, neutrophils count, C-reactive protein (CRP), D-Dimer, ferritin, procalcitonin (PCT), and lactate dehydrogenase (LDH) levels in patients with more severe illness. Also, our results highlighted that higher levels of those markers can predict worse patient outcome including the need of ventilation, intensive care unit (ICU) admission, multiple organs dysfunction as well as death. In addition, Our results showed that the presence of lymphopenia and lower absolute lymphocyte count (ALC) at the time of admission were associated with severe to critical COVID-19 illness (P<0.0001), presence of acute respiratory distress syndrome (ARDS) (P<0.0001) and the need for ventilation and ICU admission., Moreover, our results showed a strong association between lower ALC count and multiple organs dysfunction and patient's death (P<0.0001). In conclusion, our results highlighted the possible use of classical inflammatory biomarkers at time of admission as a potential predictive marker for more severe clinical course in COVID-19 patients that might need more aggressive therapeutic approach including the need of ventilators and ICU admission. The presence of such predictive markers might improve patient's stratification and help in the direction of the available resources to patients in need, which in turn help in improving our response to the disease pandemic.

Indexed as

BiomarkersCalcitoninCOVID-19C-Reactive ProteinFemaleFerritinsFibrin Fibrinogen Degradation ProductsHospitalizationHumansInflammationIntensive Care UnitsLeukocyte CountL-Lactate DehydrogenaseMaleMiddle AgedMultiple Organ FailureBiomarkersCalcitoninC-Reactive ProteinFerritinsFibrin Fibrinogen Degradation Productsfibrin fragment DL-Lactate Dehydrogenase

Identifiers

PMID34855832
PMCPMC8638892
OpenAlexW3215561302

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.