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.

COVID-19 MR-proADM SARS-CoV-2 adrenomedullin biomarkers immunoglobulins intensive care lymphocyte subpopulations

Journal

Frontiers in medicine
ISSN: 2296-858X
Titre abrégé: Front Med (Lausanne)
Pays: Switzerland
ID NLM: 101648047

Informations de publication

Date de publication:
2023
Historique:
received: 12 12 2022
accepted: 20 02 2023
medline: 11 4 2023
entrez: 10 4 2023
pubmed: 11 4 2023
Statut: epublish

Résumé

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. 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. 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, 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.

Sections du résumé

Background UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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.

Identifiants

pubmed: 37035317
doi: 10.3389/fmed.2023.1122367
pmc: PMC10080079
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1122367

Informations de copyright

Copyright © 2023 Montrucchio, Sales, Balzani, Lombardo, Giaccone, Cantù, D'Antonio, Rumbolo, Corcione, Simonetti, Bonetto, Zanierato, Fanelli, Filippini, Mengozzi and Brazzi.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

Sci Data. 2022 Jul 30;9(1):454
pubmed: 35908040
JAMA Intern Med. 2020 Oct 1;180(10):1345-1355
pubmed: 32667669
Expert Rev Mol Diagn. 2021 Apr;21(4):397-404
pubmed: 33736553
Int J Med Sci. 2021 May 27;18(13):2789-2798
pubmed: 34220307
PLoS One. 2021 Feb 8;16(2):e0246771
pubmed: 33556140
Respir Res. 2022 Aug 28;23(1):221
pubmed: 36031619
J Infect Public Health. 2021 May;14(5):561-569
pubmed: 33848885
Am J Clin Pathol. 2021 Feb 11;155(3):333-342
pubmed: 33107558
JAMA Intern Med. 2020 Jul 1;180(7):934-943
pubmed: 32167524
J Fungi (Basel). 2022 Nov 30;8(12):
pubmed: 36547597
J Clin Invest. 2020 May 1;130(5):2620-2629
pubmed: 32217835
Biomedicines. 2022 Mar 19;10(3):
pubmed: 35327521
Cell. 2021 Feb 18;184(4):861-880
pubmed: 33497610
J Clin Med. 2022 Aug 04;11(15):
pubmed: 35956159
Minerva Anestesiol. 2021 Oct;87(10):1117-1127
pubmed: 34134460
Acta Med Acad. 2016 Nov;45(2):97-103
pubmed: 28000485
Membranes (Basel). 2021 Apr 30;11(5):
pubmed: 33946566
Thromb Haemost. 2007 Nov;98(5):944-51
pubmed: 18000597
Crit Care. 2020 Apr 28;24(1):179
pubmed: 32345311
Crit Care. 2022 Feb 5;26(1):34
pubmed: 35123562
ASAIO J. 2021 Apr 1;67(4):385-391
pubmed: 33470643
BMJ Evid Based Med. 2021 Jun;26(3):107-108
pubmed: 32934000
Elife. 2021 Nov 23;10:
pubmed: 34812731
Emerg Microbes Infect. 2020 Dec;9(1):1123-1130
pubmed: 32475230
Intensive Care Med. 2007 Apr;33(4):703-10
pubmed: 17318497
J Allergy Clin Immunol. 2015 Nov;136(5):1186-205.e1-78
pubmed: 26371839
Intensive Care Med. 2021 Mar;47(3):344-348
pubmed: 33420797
Cytometry A. 2020 Aug;97(8):772-776
pubmed: 32542842
PLoS One. 2021 Jun 29;16(6):e0253894
pubmed: 34185801
Eur J Clin Invest. 2021 May;51(5):e13511
pubmed: 33569769
Front Microbiol. 2019 Dec 03;10:2752
pubmed: 31849894
J Infect. 2020 Aug;81(2):318-356
pubmed: 32283154
Int J Med Sci. 2020 May 18;17(9):1281-1292
pubmed: 32547323
Clin Immunol. 2020 Dec;221:108614
pubmed: 33153974
J Epidemiol Glob Health. 2021 Mar;11(1):98-104
pubmed: 33095982
J Glob Antimicrob Resist. 2020 Dec;23:398-400
pubmed: 33242674
Intensive Care Med. 2021 Nov;47(11):1181-1247
pubmed: 34599691
J Med Virol. 2021 Feb;93(2):1070-1077
pubmed: 32910461
BMC Infect Dis. 2021 Nov 22;21(1):1173
pubmed: 34809594
Lancet. 2020 Feb 15;395(10223):497-506
pubmed: 31986264
Clin Microbiol Infect. 2021 Jan;27(1):83-88
pubmed: 32745596
Front Immunol. 2020 May 01;11:827
pubmed: 32425950
Autoimmun Rev. 2020 Jun;19(6):102537
pubmed: 32251717
Front Cell Infect Microbiol. 2020 Jun 30;10:364
pubmed: 32695683
J Clin Virol. 2020 Jun;127:104361
pubmed: 32344320
Crit Care. 2016 Jun 09;20(1):178
pubmed: 27282767
Clin Infect Dis. 2021 May 4;72(9):e206-e214
pubmed: 32674114
BMJ. 2021 Sep 23;374:n2231
pubmed: 34556486
J Clin Med. 2022 Sep 02;11(17):
pubmed: 36079137
Antibiotics (Basel). 2022 Aug 29;11(9):
pubmed: 36139946
Infection. 2021 Oct;49(5):889-905
pubmed: 34170486
Intensive Care Med. 2022 Jun;48(6):690-705
pubmed: 35596752
Int J Immunopathol Pharmacol. 2021 Jan-Dec;35:20587384211048567
pubmed: 34619994
Rev Med Virol. 2021 Jul;31(4):e2199
pubmed: 34260778
Am J Physiol Lung Cell Mol Physiol. 2021 Apr 1;320(4):L590-L599
pubmed: 33237794
Crit Care Med. 2017 Mar;45(3):486-552
pubmed: 28098591

Auteurs

Giorgia Montrucchio (G)

Department of Surgical Sciences, University of Turin, Turin, Italy.
Department of Anesthesia, Critical Care and Emergency, "Città della Salute e della Scienza" Hospital, Turin, Italy.

Gabriele Sales (G)

Department of Surgical Sciences, University of Turin, Turin, Italy.
Department of Anesthesia, Critical Care and Emergency, "Città della Salute e della Scienza" Hospital, Turin, Italy.

Eleonora Balzani (E)

Department of Surgical Sciences, University of Turin, Turin, Italy.

Davide Lombardo (D)

Department of Surgical Sciences, University of Turin, Turin, Italy.

Alice Giaccone (A)

Department of Surgical Sciences, University of Turin, Turin, Italy.

Giulia Cantù (G)

Department of Surgical Sciences, University of Turin, Turin, Italy.

Giulia D'Antonio (G)

Department of Surgical Sciences, University of Turin, Turin, Italy.

Francesca Rumbolo (F)

Clinical Biochemistry Laboratory, Department of Laboratory Medicine, "Città della Salute e della Scienza" Hospital, Turin, Italy.

Silvia Corcione (S)

Department of Medical Sciences, University of Turin, Turin, Italy.

Umberto Simonetti (U)

Department of Anesthesia, Critical Care and Emergency, "Città della Salute e della Scienza" Hospital, Turin, Italy.

Chiara Bonetto (C)

Department of Anesthesia, Critical Care and Emergency, "Città della Salute e della Scienza" Hospital, Turin, Italy.

Marinella Zanierato (M)

Department of Anesthesia, Critical Care and Emergency, "Città della Salute e della Scienza" Hospital, Turin, Italy.

Vito Fanelli (V)

Department of Surgical Sciences, University of Turin, Turin, Italy.
Department of Anesthesia, Critical Care and Emergency, "Città della Salute e della Scienza" Hospital, Turin, Italy.

Claudia Filippini (C)

Department of Surgical Sciences, University of Turin, Turin, Italy.

Giulio Mengozzi (G)

Clinical Biochemistry Laboratory, Department of Laboratory Medicine, "Città della Salute e della Scienza" Hospital, Turin, Italy.

Luca Brazzi (L)

Department of Surgical Sciences, University of Turin, Turin, Italy.
Department of Anesthesia, Critical Care and Emergency, "Città della Salute e della Scienza" Hospital, Turin, Italy.

Classifications MeSH