Endothelium-associated biomarkers mid-regional proadrenomedullin and C-terminal proendothelin-1 have good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia: A prospective cohort study

Jos A.H. van Oers; Yvette Kluiters; Judith A.P. Bons; Mariska de Jongh; Sjaak Pouwels; Dharmanand Ramnarain; Dylan W. de Lange; Harm-Jan  de Grooth; Armand R.J. Girbes

doi:10.1016/j.jcrc.2021.07.017

Endothelium-associated biomarkers mid-regional proadrenomedullin and C-terminal proendothelin-1 have good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia: A prospective cohort study

Jos A.H. van Oers^*
, Yvette Kluiters
, Judith A.P. Bons
, Mariska de Jongh
, Sjaak Pouwels
, Dharmanand Ramnarain
, Dylan W. de Lange
, Harm-Jan de Grooth
, Armand R.J. Girbes

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

Purpose
We assessed the ability of mid-regional proadrenomedullin (MR-proADM) and C-terminal proendothelin-1 (CT-proET-1) to predict 28-day mortality in critically ill patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia.

Methods
Biomarkers were collected during the first seven days in this prospective observational cohort study. We investigated the relationship between biomarkers and mortality in a multivariable Cox regression model adjusted for age and SOFA score.

Results
In 105 critically ill patients with confirmed SARS-CoV-2 pneumonia 28-day mortality was 28.6%. MR-proADM and CT-proET-1 were significantly higher in 28-day non-survivors at baseline and over time. ROC curves revealed high accuracy to identify non-survivors for baseline MR-proADM and CT-proET-1, AUC 0.84, (95% CI 0.76–0.92), p < 0.001 and 0.79, (95% CI 0.69–0.89), p < 0.001, respectively. The AUC for prediction of 28-day mortality for MR-proADM and CT-proET-1 remained high over time. MR-proADM ≥1.57 nmol/L and CT-proET-1 ≥ 111 pmol/L at baseline were significant predictors for 28-day mortality (HR 6.80, 95% CI 3.12–14.84, p < 0.001 and HR 3.72, 95% CI 1.71–8.08, p 0.01).

Conclusion
Baseline and serial MR-proADM and CT-proET-1 had good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia.

Original language	English
Pages (from-to)	173-180
Number of pages	8
Journal	Journal of Critical Care
Volume	66
DOIs	https://doi.org/10.1016/j.jcrc.2021.07.017
Publication status	Published - Dec 2021
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

MR-proADM
CT-proET-1
COVID-19
Critically ill

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van Oers, J. A. H., Kluiters, Y., Bons, J. A. P., de Jongh, M., Pouwels, S., Ramnarain, D., de Lange, D. W., de Grooth, H.-J., & Girbes, A. R. J. (2021). Endothelium-associated biomarkers mid-regional proadrenomedullin and C-terminal proendothelin-1 have good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia: A prospective cohort study. Journal of Critical Care, 66, 173-180. https://doi.org/10.1016/j.jcrc.2021.07.017

@article{9616805330b044c69fa93adf4eed5d61,

title = "Endothelium-associated biomarkers mid-regional proadrenomedullin and C-terminal proendothelin-1 have good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia: A prospective cohort study",

abstract = "Purpose We assessed the ability of mid-regional proadrenomedullin (MR-proADM) and C-terminal proendothelin-1 (CT-proET-1) to predict 28-day mortality in critically ill patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia. Methods Biomarkers were collected during the first seven days in this prospective observational cohort study. We investigated the relationship between biomarkers and mortality in a multivariable Cox regression model adjusted for age and SOFA score. Results In 105 critically ill patients with confirmed SARS-CoV-2 pneumonia 28-day mortality was 28.6\%. MR-proADM and CT-proET-1 were significantly higher in 28-day non-survivors at baseline and over time. ROC curves revealed high accuracy to identify non-survivors for baseline MR-proADM and CT-proET-1, AUC 0.84, (95\% CI 0.76–0.92), p < 0.001 and 0.79, (95\% CI 0.69–0.89), p < 0.001, respectively. The AUC for prediction of 28-day mortality for MR-proADM and CT-proET-1 remained high over time. MR-proADM ≥1.57 nmol/L and CT-proET-1 ≥ 111 pmol/L at baseline were significant predictors for 28-day mortality (HR 6.80, 95\% CI 3.12–14.84, p < 0.001 and HR 3.72, 95\% CI 1.71–8.08, p 0.01). Conclusion Baseline and serial MR-proADM and CT-proET-1 had good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia.",

keywords = "MR-proADM, CT-proET-1, COVID-19, Critically ill",

author = "\{van Oers\}, \{Jos A.H.\} and Yvette Kluiters and Bons, \{Judith A.P.\} and \{de Jongh\}, Mariska and Sjaak Pouwels and Dharmanand Ramnarain and \{de Lange\}, \{Dylan W.\} and \{de Grooth\}, Harm-Jan and Girbes, \{Armand R.J.\}",

year = "2021",

month = dec,

doi = "10.1016/j.jcrc.2021.07.017",

language = "English",

volume = "66",

pages = "173--180",

journal = "Journal of Critical Care",

issn = "0883-9441",

publisher = "W.B. Saunders",

}

van Oers, JAH, Kluiters, Y, Bons, JAP, de Jongh, M, Pouwels, S, Ramnarain, D, de Lange, DW, de Grooth, H-J & Girbes, ARJ 2021, 'Endothelium-associated biomarkers mid-regional proadrenomedullin and C-terminal proendothelin-1 have good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia: A prospective cohort study', Journal of Critical Care, vol. 66, pp. 173-180. https://doi.org/10.1016/j.jcrc.2021.07.017

Endothelium-associated biomarkers mid-regional proadrenomedullin and C-terminal proendothelin-1 have good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia: A prospective cohort study. / van Oers, Jos A.H.; Kluiters, Yvette; Bons, Judith A.P. et al.
In: Journal of Critical Care, Vol. 66, 12.2021, p. 173-180.

Research output: Contribution to journal › Article › Scientific › peer-review

TY - JOUR

T1 - Endothelium-associated biomarkers mid-regional proadrenomedullin and C-terminal proendothelin-1 have good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia

T2 - A prospective cohort study

AU - van Oers, Jos A.H.

AU - Kluiters, Yvette

AU - Bons, Judith A.P.

AU - de Jongh, Mariska

AU - Pouwels, Sjaak

AU - Ramnarain, Dharmanand

AU - de Lange, Dylan W.

AU - de Grooth, Harm-Jan

AU - Girbes, Armand R.J.

PY - 2021/12

Y1 - 2021/12

N2 - Purpose We assessed the ability of mid-regional proadrenomedullin (MR-proADM) and C-terminal proendothelin-1 (CT-proET-1) to predict 28-day mortality in critically ill patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia. Methods Biomarkers were collected during the first seven days in this prospective observational cohort study. We investigated the relationship between biomarkers and mortality in a multivariable Cox regression model adjusted for age and SOFA score. Results In 105 critically ill patients with confirmed SARS-CoV-2 pneumonia 28-day mortality was 28.6%. MR-proADM and CT-proET-1 were significantly higher in 28-day non-survivors at baseline and over time. ROC curves revealed high accuracy to identify non-survivors for baseline MR-proADM and CT-proET-1, AUC 0.84, (95% CI 0.76–0.92), p < 0.001 and 0.79, (95% CI 0.69–0.89), p < 0.001, respectively. The AUC for prediction of 28-day mortality for MR-proADM and CT-proET-1 remained high over time. MR-proADM ≥1.57 nmol/L and CT-proET-1 ≥ 111 pmol/L at baseline were significant predictors for 28-day mortality (HR 6.80, 95% CI 3.12–14.84, p < 0.001 and HR 3.72, 95% CI 1.71–8.08, p 0.01). Conclusion Baseline and serial MR-proADM and CT-proET-1 had good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia.

AB - Purpose We assessed the ability of mid-regional proadrenomedullin (MR-proADM) and C-terminal proendothelin-1 (CT-proET-1) to predict 28-day mortality in critically ill patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia. Methods Biomarkers were collected during the first seven days in this prospective observational cohort study. We investigated the relationship between biomarkers and mortality in a multivariable Cox regression model adjusted for age and SOFA score. Results In 105 critically ill patients with confirmed SARS-CoV-2 pneumonia 28-day mortality was 28.6%. MR-proADM and CT-proET-1 were significantly higher in 28-day non-survivors at baseline and over time. ROC curves revealed high accuracy to identify non-survivors for baseline MR-proADM and CT-proET-1, AUC 0.84, (95% CI 0.76–0.92), p < 0.001 and 0.79, (95% CI 0.69–0.89), p < 0.001, respectively. The AUC for prediction of 28-day mortality for MR-proADM and CT-proET-1 remained high over time. MR-proADM ≥1.57 nmol/L and CT-proET-1 ≥ 111 pmol/L at baseline were significant predictors for 28-day mortality (HR 6.80, 95% CI 3.12–14.84, p < 0.001 and HR 3.72, 95% CI 1.71–8.08, p 0.01). Conclusion Baseline and serial MR-proADM and CT-proET-1 had good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia.

KW - MR-proADM

KW - CT-proET-1

KW - COVID-19

KW - Critically ill

UR - https://www.scopus.com/pages/publications/85111582290

U2 - 10.1016/j.jcrc.2021.07.017

DO - 10.1016/j.jcrc.2021.07.017

M3 - Article

C2 - 34340901

SN - 0883-9441

VL - 66

SP - 173

EP - 180

JO - Journal of Critical Care

JF - Journal of Critical Care

ER -

van Oers JAH, Kluiters Y, Bons JAP, de Jongh M, Pouwels S, Ramnarain D et al. Endothelium-associated biomarkers mid-regional proadrenomedullin and C-terminal proendothelin-1 have good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia: A prospective cohort study. Journal of Critical Care. 2021 Dec;66:173-180. doi: 10.1016/j.jcrc.2021.07.017

Endothelium-associated biomarkers mid-regional proadrenomedullin and C-terminal proendothelin-1 have good ability to predict 28-day mortality in critically ill patients with SARS-CoV-2 pneumonia: A prospective cohort study

Abstract

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Keywords

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