Evidence map›Paper›PMID 35177561›Full record

ArticleAnnals of laboratory medicine2022

Prognostic Utility of Procalcitonin, Presepsin, and the VACO Index for Predicting 30-day Mortality in Hospitalized COVID-19 Patients.

Mikyoung Park, Mina Hur, Hanah Kim, Chae Hoon Lee, Jong Ho Lee, Hyung Woo Kim, Minjeong Nam

Open access · diamondAbstract read
In one paragraph

Article in Annals of laboratory medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 31 citations in OpenAlex.

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  18. Presepsin: Hope in the Quest for the Holy Grail.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 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

7 authors at 4 institutions in 1 country.

Mikyoung ParkDepartment of Laboratory Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-4815-6958
Mina HurDepartment of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-4429-9978
Hanah KimDepartment of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-3266-638X
Chae Hoon LeeDepartment of Laboratory Medicine, Yeungnam University College of Medicine, Daegu, Korea.ORCID https://orcid.org/0000-0001-7722-9004
Jong Ho LeeDepartment of Laboratory Medicine, Yeungnam University College of Medicine, Daegu, Korea.ORCID https://orcid.org/0000-0002-6837-838X
Hyung Woo KimDepartment of Laboratory Medicine, Yeungnam University College of Medicine, Daegu, Korea.ORCID https://orcid.org/0000-0003-1330-425X
Minjeong NamDepartment of Laboratory Medicine, Korea University Anam Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0003-3542-3487
Konkuk University · KRYeungnam University CollegeKorea University Medical Center · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiomarkers and clinical indices have been investigated for predicting mortality in patients with coronavirus disease (COVID-19). We explored the prognostic utility of procalcitonin (PCT), presepsin, and the Veterans Health Administration COVID-19 (VACO) index for predicting 30-day-mortality in COVID-19 patients.

methodsIn total, 54 hospitalized COVID-19 patients were enrolled. PCT and presepsin levels were measured using the Elecsys BRAHMS PCT assay (Roche Diagnostics GmbH, Mannheim, Germany) and HISCL Presepsin assay (Sysmex, Kobe, Japan), respectively. The VACO index was calculated based on age, sex, and comorbidities. PCT and presepsin levels and the VACO index were compared using ROC curve, Kaplan-Meier method, and reclassification analysis for the 30-day mortality.

resultsROC curve analysis was used to measure PCT and presepsin levels and the VACO index to predict 30-day mortality; the optimal cut-off values were 0.138 ng/mL for PCT, 717 pg/mL for presepsin, and 12.1% for the VACO index. On Kaplan-Meier survival analysis, hazard ratios (95% confidence interval) were 15.9 (4.1-61.3) for PCT, 26.3 (6.4-108.0) for presepsin, and 6.0 (1.7-21.1) for the VACO index. On reclassification analysis, PCT and presepsin in addition to the VACO index significantly improved the prognostic value of the index.

conclusionsThis study demonstrated the prognostic utility of measuring PCT and presepsin levels and the VACO index in COVID-19 patients. The biomarkers in addition to the clinical index were more useful than the index alone for predicting clinical outcomes in COVID-19 patients.

Indexed as

COVID-19SepsisBiomarkersC-Reactive ProteinHumansLipopolysaccharide ReceptorsPeptide FragmentsProcalcitoninPrognosisROC CurveSARS-CoV-2BiomarkersC-Reactive ProteinLipopolysaccharide ReceptorsPeptide Fragmentspresepsin protein, humanProcalcitonin30-Day mortalityCOVID-19PredictionPresepsinProcalcitoninVACO index

Identifiers

PMID35177561
PMCPMC8859553
OpenAlexW4213314214

What OpenQuestion holds

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LicenceCC BY-NC
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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.