Evidence map›Paper›PMID 37035317›Full record

ArticleFrontiers in medicine2023

Effectiveness of mid-regional pro-adrenomedullin, compared to other biomarkers (including lymphocyte subpopulations and immunoglobulins), as a prognostic biomarker in COVID-19 critically ill patients: New evidence from a 15-month observational prospective study.

Giorgia Montrucchio, Gabriele Sales, Eleonora Balzani, Davide Lombardo, Alice Giaccone, Giulia Cantù, Giulia D'Antonio, Francesca Rumbolo, Silvia Corcione, Umberto Simonetti and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 11 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

16 authors at 2 institutions in 1 country.

Giorgia MontrucchioDepartment of Surgical Sciences, University of Turin, Turin, Italy.
Gabriele SalesDepartment of Surgical Sciences, University of Turin, Turin, Italy.
Eleonora BalzaniDepartment of Surgical Sciences, University of Turin, Turin, Italy.
Davide LombardoDepartment of Surgical Sciences, University of Turin, Turin, Italy.
Alice GiacconeDepartment of Surgical Sciences, University of Turin, Turin, Italy.
Giulia CantùDepartment of Surgical Sciences, University of Turin, Turin, Italy.
Giulia D'AntonioDepartment of Surgical Sciences, University of Turin, Turin, Italy.
Francesca RumboloClinical Biochemistry Laboratory, Department of Laboratory Medicine, "Città della Salute e della Scienza" Hospital, Turin, Italy.
Silvia CorcioneDepartment of Medical Sciences, University of Turin, Turin, Italy.
Umberto SimonettiDepartment of Anesthesia, Critical Care and Emergency, "Città della Salute e della Scienza" Hospital, Turin, Italy.
Chiara BonettoDepartment of Anesthesia, Critical Care and Emergency, "Città della Salute e della Scienza" Hospital, Turin, Italy.
Marinella ZanieratoDepartment of Anesthesia, Critical Care and Emergency, "Città della Salute e della Scienza" Hospital, Turin, Italy.
Vito FanelliDepartment of Surgical Sciences, University of Turin, Turin, Italy.
Claudia FilippiniDepartment of Surgical Sciences, University of Turin, Turin, Italy.
Giulio MengozziClinical Biochemistry Laboratory, Department of Laboratory Medicine, "Città della Salute e della Scienza" Hospital, Turin, Italy.
Luca BrazziDepartment of Surgical Sciences, University of Turin, Turin, Italy.
University of Turin · ITAzienda Ospedaliera Citta' della Salute e della Scienza di Torino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mid-regional pro-adrenomedullin (MR-proADM), an endothelium-related peptide, is a predictor of death and multi-organ failure in respiratory infections and sepsis and seems to be effective in identifying COVID-19 severe forms. The study aims to evaluate the effectiveness of MR-proADM in comparison to routine inflammatory biomarkers, lymphocyte subpopulations, and immunoglobulin (Ig) at an intensive care unit (ICU) admission and over time in predicting mortality in patients with severe COVID-19. Methods: All adult patients with COVID-19 pneumonia admitted between March 2020 and June 2021 in the ICUs of a university hospital in Italy were enrolled. MR-proADM, lymphocyte subpopulations, Ig, and routine laboratory tests were measured within 48 h and on days 3 and 7. The log-rank test was used to compare survival curves with MR-proADM cutoff value of >1.5 nmol/L. Predictive ability was compared using the area under the curve (AUC) and 95% confidence interval (CI) of different receiver-operating characteristic curves. Results: A total of 209 patients, with high clinical severity [SOFA 7, IQR 4-9; SAPS II 52, IQR 41-59; median viral pneumonia mortality score (MuLBSTA)-11, IQR 9-13] were enrolled. ICU and overall mortality were 55.5 and 60.8%, respectively. Procalcitonin, lactate dehydrogenase, D-dimer, the N-terminal prohormone of brain natriuretic peptide, myoglobin, troponin, neutrophil count, lymphocyte count, and natural killer lymphocyte count were significantly different between survivors and non-survivors, while lymphocyte subpopulations and Ig were not different in the two groups. MR-proADM was significantly higher in non-survivors (1.17 ± 0.73 vs. 2.31 ± 2.63, Conclusion: MR-proADM seems to be the best biomarker for the stratification of mortality risk in critically ill patients with COVID-19. The Ig levels and lymphocyte subpopulations (except for natural killers) seem not to be correlated with mortality. Larger, multicentric studies are needed to confirm these findings.

Indexed as

adrenomedullinbiomarkersCOVID-19immunoglobulinsintensive carelymphocyte subpopulationsMR-proADMSARS-CoV-2

Identifiers

PMID37035317
PMCPMC10080079
OpenAlexW4360871705

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.