Evidence map›Paper›PMID 35772223›Full record

ArticleThe American journal of emergency medicine2022

The prognostic value of biomarker levels and chest imaging in patients with COVID-19 presenting to the emergency department.

Gilbert Abou Dagher, Alain Abi Ghanem, Saadeddine Haidar, Nadim Kattouf, Mohamad Assaf, Mihran Khdhir, Reve Chahine, Jennifer Rizk, Maha Makki, Hani Tamim and 1 more

Open access · greenAbstract read
In one paragraph

Article in The American journal of emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
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

11 authors at 2 institutions in 1 country.

Gilbert Abou DagherDepartment of Emergency Medicine, American University of Beirut, Beirut, Lebanon. Electronic address: ga66@aub.edu.lb.
Alain Abi GhanemDepartment of Radiology, American University of Beirut, Beirut, Lebanon. Electronic address: aa277@aub.edu.lb.
Saadeddine HaidarDepartment of Emergency Medicine, American University of Beirut, Beirut, Lebanon. Electronic address: smh44@mail.aub.edu.
Nadim KattoufDepartment of Emergency Medicine, American University of Beirut, Beirut, Lebanon. Electronic address: njk16@mail.aub.edu.
Mohamad AssafDepartment of Emergency Medicine, American University of Beirut, Beirut, Lebanon. Electronic address: maa216@mail.aub.edu.
Mihran KhdhirDepartment of Radiology, American University of Beirut, Beirut, Lebanon. Electronic address: mk247@aub.edu.lb.
Reve ChahineDepartment of Radiology, American University of Beirut, Beirut, Lebanon. Electronic address: rc57@aub.edu.lb.
Jennifer RizkDepartment of Emergency Medicine, American University of Beirut, Beirut, Lebanon. Electronic address: jr42@aub.edu.lb.
Maha MakkiDepartment of Internal Medicine, American University of Beirut, Beirut, Lebanon. Electronic address: mm209@aub.edu.lb.
Hani TamimDepartment of Internal Medicine, American University of Beirut, Beirut, Lebanon. Electronic address: htamim@aub.edu.lb.
Ralph Bou CheblDepartment of Emergency Medicine, American University of Beirut, Beirut, Lebanon. Electronic address: rb94@aub.edu.lb.
American University of Beirut Medical Center · LBAmerican University of Beirut · LB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe aimed to compare the prognostic value of a quantitative CT severity score with several laboratory parameters, particularly C-reactive protein, Procalcitonin, Neutrophil to lymphocyte ratio, D-dimer, ferritin, lactate dehydrogenase, lactate, troponin and B-type Natriuretic Peptide in predicting in-hospital mortality.

methodsThis was a retrospective chart review study of COVID-19 patients who presented to the Emergency Department of a tertiary care center between February and December 2020. All patients ≥18 years old who tested positive for the COVID-19 real-time reverse transcriptase polymerase chain reaction and underwent CT imaging at presentation were included. The primary outcome was the prognostic ability of CT severity score versus biomarkers in predicting in-hospital mortality.

resultsThe AUCs were: D-dimer (AUC: 0.67 95% CI = 0.57-0.77), CT severity score (0.66, 95% CI = 0.55-0.77), LDH (0.66, 95% CI = 0.55-0.77), Pro-BNP (0.65, 95% CI = 0.55-0.76), NLR (0.64, 95% CI = 0.53-0.75) and troponin (0.64, 95% CI = 0.52-0.75). In the stepwise logistic regression, age (OR = 1.07 95% CI = 1.05-1.09), obesity (OR = 2.02 95% CI = 1.25-3.26), neutrophil/lymphocyte ratio (OR = 1.02 95% CI = 1.01-1.04), CRP (OR = 1.01 95% CI = 1.004-1.01), lactate dehydrogenase (OR = 1.003 95% CI = 1.001-1.004) and CT severity score (OR = 1.17 95% CI = 1.12-1.23) were significantly associated with in-hospital mortality.

conclusionIn summary, CT severity score outperformed several biomarkers as a prognostic tool for covid related mortality. In COVID-19 patients requiring lung imaging, such as patients requiring ICU admission, patients with abnormal vital signs and those requiring mechanical ventilation, the results suggest obtaining and calculating the CT severity score to use it as a prognostic tool. If a CT was not performed, the results suggest using LDH, CRP or NLR if already done as prognostic tools in COVID-19 as these biomarkers were also found to be prognostic in COVID-19 patients.

Indexed as

COVID-19AdolescentBiomarkersC-Reactive ProteinEmergency Service, HospitalHumansNatriuretic Peptide, BrainPrognosisRetrospective StudiesSARS-CoV-2TroponinBiomarkersC-Reactive ProteinNatriuretic Peptide, BrainTroponinBiomarkersChest CTCOVID-19C-reactive proteinMortalityNeutrophil to lymphocyte ratio

Identifiers

PMID35772223
PMCPMC9233869
OpenAlexW4283526834

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.