Evidence map›Paper›PMID 35007842›Full record

ArticleJournal of infection and public health2022

Implications of SARS-CoV-2 infection on the clinical, hematological, and inflammatory parameters in COVID-19 patients: A retrospective cross-sectional study.

Laila A Damiati, Sami Bahlas, Ahmed Aljohaney, Yasser Bawazir, Mohammad Mustafa, Iuliana Denetiu, Peter N Pushparaj

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of infection and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 10 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

7 authors at 2 institutions in 1 country.

Laila A DamiatiDepartment of Biology, College of Science, University of Jeddah, Jeddah, Saudi Arabia. Electronic address: ladamiati@uj.edu.sa.
Sami BahlasDepartment of Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia. Electronic address: lbahlas@kau.edu.sa.
Ahmed AljohaneyDepartment of Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Yasser BawazirDepartment of Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Mohammad MustafaRheumatology Unit, Department of Medicine, University of Jeddah, Jeddah, Saudi Arabia.
Iuliana DenetiuLab of Hematology, King Fahd Medical Research Centre, King Abdulaziz University, Jeddah, Saudi Arabia.
Peter N PushparajDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia; Center of Excellence in Genomic Medicine Research, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
King Abdulaziz University · SAUniversity of Jeddah · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current coronavirus pandemic (COVID-19) was caused by severe acute respiratory syndrome virus 2 (SARS-CoV-2). COVID-19 is characterized by atypical pneumonia, mild colds, and more severe illnesses, such as severe acute respiratory distress, thrombosis, organ failure, and various secondary bacterial and fungal infections. Notably, the severity of COVID-19 in different age groups is not well known, and the validity of clinical laboratory data remains unclear.

methodsIn this retrospective cross-sectional study, we examined differential regulation of clinical, hematologic, and inflammatory biomarkers in COVID-19 patients. We divided 104 COVID-19 patients into five different groups according to age (0-17, 18-45, 46-65, 66-79, and >80 years). Baseline data (sex, comorbidities, intensive care admission, and medications), hematologic markers, liver, and renal function tests, coagulation, and inflammatory markers were examined in these groups. Receiver operator characteristic (ROC) analysis was used to determine the optimal threshold for predicting COVID-19 biological markers.

resultsWe found that the highest percentage (45%) of COVID-19 patients was in the age group of 46-65 years. The hematologic parameters (WBC, HB, and PLT) were normal between the patient groups. The area under the curve in ROC analysis showed significant differences in the levels of creatine, GGT, BUN, CRP, D-dimer, ferritin, AST, and procalcitonin between the patients of age groups 46-65 and 66-79 years. Renal biomarkers were significantly high in most patients, regardless of age. In contrast, the liver biomarkers, did not differ significantly between patient groups.

conclusionThe main finding of our study is that laboratory parameters such as GGT, creatinine, BUN, CRP, procalcitonin, ferritin and D-dimer were differentially regulated in COVID -19 patients of different age groups. Importantly, these laboratory parameters may help as clinical predictors to assess the severity of the disease in the population. We conclude here that age is an important factor influencing COVID-19 severity.

Indexed as

COVID-19AgedAged, 80 and overBiomarkersCross-Sectional StudiesHumansMiddle AgedPandemicsRetrospective StudiesSARS-CoV-2BiomarkersClinical parametersClinical predictorsCOVID-19Hematological parametersInflammatory markersSARS CoV-2

Identifiers

PMID35007842
PMCPMC8734060
OpenAlexW4205925152

What OpenQuestion 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 OpenQuestion graph.