Evidence map›Paper›PMID 35248717›Full record

Observational studyInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2022

Presepsin as a Novel Biomarker in predicting In-hospital Mortality in Patients With COVID-19 Pneumonia.

Hebatallah Hany Assal, Safaa Mohamed Abdelrahman, Maha AlyAlden Abdelbasset, Mai Abdelaziz, Irene Mohamed Sabry, Marwa Moawad Shaban

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Endotheliopathy in Acute COVID-19 and Long COVID.International journal of molecular sciences · 2023
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  15. Relevance ofFrontiers in immunology · 2022
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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 2 institutions in 1 country.

Hebatallah Hany AssalDepartment of Chest Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt. Electronic address: Hebatallah.Assal@kasralainy.edu.eg.
Safaa Mohamed AbdelrahmanDepartment of pediatrics, Faculty of Medicine, Cairo University,Cairo, Egypt. Electronic address: safaa.mohamed5@gmail.com.
Maha AlyAlden AbdelbassetDepartment of pediatrics, Faculty of Medicine,Zagazig University, Zagazig, Egypt. Electronic address: maha.aly@gmail.com.
Mai AbdelazizBiochemistry and molecular biology department, Faculty of Medicine, Badr University in Cairo, Kasr Al Aini Hospital, Cairo University, Cairo, Egypt. Electronic address: maiabdelaziz1979@gmail.com.
Irene Mohamed SabryDepartment of Chest Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt. Electronic address: irene.sabry@yahoo.com.
Marwa Moawad ShabanDepartment of Chest Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt. Electronic address: marwamoawad@ymail.com.
Cairo University · EGZagazig University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDifferent biomarkers such as C-reactive protein (CRP), serum ferritin and D-dimer are used in prognostic assessment of patients with COVID-19 pneumonia. Presepsin (PSP) is a soluble CD14 subtype that has recently been proposed as a novel biomarker in patients with sepsis. The aim of the current study was to detect the relation of PSP to the outcome of COVID-19 as well as its relation to other inflammatory biomarkers.

methodsThis multicenter retrospective observational study was conducted in Saudi Arabia and Misr International Hospital, Egypt, from January 2021 to May 2021. Hospitalised patients who had positive throat swab of SARS-CoV-2 and radiological evidence of viral pneumonia (moderate and severe forms) were included in the study. Demographics and clinical features, as well as laboratory parameters, including serum ferritin, CRP, D-dimer and PSP, of enrolled patients were retrospectively collected. Pneumonia severity index (PSI) was used to evaluate the severity of pneumonia.

resultsA total of 202 hospitalised patients who were diagnosed with COVID-19 pneumonia and tested positive for SARS-CoV-2 RNA were enrolled in our study. Of 202 hospitalised patients, 67 (33.17%) required intensive care unit (ICU) admission. A total of 176 (87.1%) patients survived and were discharged, whereas 26 (12.9%) patients did not survive. PSP level was found to be significantly elevated in nonsurvivor versus survivor group (median [IQR] 978.5 [755.8-1400] vs 516.5 [343.3-720], P<0.001) as well as in ICU versus non-ICU patients (median [IQR] 800 [631-1200] and 446 [320-626], respectively) (P<0.001). Elevated levels were also found to be associated with increased length of hospital stay. Levels above 775 pg/mL were found to be associated with in-hospital mortality (specificity 80%, sensitivity 73%).

conclusionElevated PSP levels indicated poor outcomes in hospitalised patients with COVID-19 pneumonia and were associated with in-hospital mortality.

Indexed as

COVID-19Pneumonia, ViralBiomarkersC-Reactive ProteinFerritinsHospital MortalityHumansLipopolysaccharide ReceptorsPeptide FragmentsRetrospective StudiesRNA, ViralSARS-CoV-2BiomarkersC-Reactive ProteinFerritinsLipopolysaccharide ReceptorsPeptide Fragmentspresepsin protein, humanRNA, ViralCOVID-19CRPD-dimerFerritininflammatory markersPresepsinsepsissoluble CD-14

Identifiers

PMID35248717
PMCPMC8893933
OpenAlexW4214897744

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.