Mid-regional pro-adrenomedullin predicts poor outcome in non-selected patients admitted to an intensive care unit

Risultato della ricerca: Article

1 Citazione (Scopus)

Abstract

Background: Mortality risk and outcome in critically ill patients can be predicted by scoring systems, such as APACHE and SAPS. The identification of prognostic biomarkers, simple to measure upon admission to an intensive care unit (ICU) is an open issue. The aim of this observational study was to assess the prognostic value of plasma mid-regional pro-adrenomedullin (MR-proADM) at ICU admission in non-selected patients in comparison to Acute Physiology and Chronic Health Evaluation II (APACHEII) and Simplified Acute Physiology Score II (SAPSII) scores. Methods: APACHEII and SAPSII scores were calculated after 24 h from ICU admission. Plasma MR-proADM levels were measured by TRACE-Kryptor on admission (T0) and after 24 h (T24). The primary endpoint was intra-hospital mortality; secondary endpoint was length of stay (LOS). Results: One hundred and twenty-six consecutive nonselected patients admitted to an ICU were enrolled. Plasma MR-proADM levels were correlated with LOS (r = 0.28; p = 0.0014 at T0; r = 0.26; p = 0.005 at T24). Multivariate analysis showed that T0 MR-proADM was a significant predictor of mortality (odds ratio [OR]: 1.27; 95% confidence interval [95%CI]: 1.03-1.55; p = 0.022). Receiver operating characteristic curves analysis revealed that MRproADM on ICU admission identified non-survivors with high accuracy, not inferior to the one of APACHEII and SAPSII scores (area under the curve [AUC]: 0.71; 95%CI: 0.62-0.78; p = 0.0002 for MR-proADM; AUC: 0.71; 95%CI: 0.62-0.79; p < 0.0001 for APACHEII; AUC: 0.8; 95%CI: 0.71-0.87; p < 0.0001 for SAPSII). Conclusions: Our findings point out a role of MR-proADM as a prognostic tool in non-selected patients in ICUs being a reliable predictor of mortality and LOS and support its use on admission to an ICU to help the management of critically ill patients.
Lingua originaleEnglish
pagine (da-a)549-555
Numero di pagine7
RivistaClinical Chemistry and Laboratory Medicine
Volume57
Stato di pubblicazionePublished - 2019

Fingerprint

Adrenomedullin
Intensive care units
Physiology
APACHE
Intensive Care Units
Confidence Intervals
Area Under Curve
Length of Stay
Health
Critical Illness
Mortality
Plasmas
Hospital Mortality
ROC Curve
Observational Studies
Biomarkers
Multivariate Analysis
Odds Ratio
Simplified Acute Physiology Score

All Science Journal Classification (ASJC) codes

  • Clinical Biochemistry
  • Biochemistry, medical

Cita questo

@article{72bf414a6ad34dc4ad8988349fb8d07d,
title = "Mid-regional pro-adrenomedullin predicts poor outcome in non-selected patients admitted to an intensive care unit",
abstract = "Background: Mortality risk and outcome in critically ill patients can be predicted by scoring systems, such as APACHE and SAPS. The identification of prognostic biomarkers, simple to measure upon admission to an intensive care unit (ICU) is an open issue. The aim of this observational study was to assess the prognostic value of plasma mid-regional pro-adrenomedullin (MR-proADM) at ICU admission in non-selected patients in comparison to Acute Physiology and Chronic Health Evaluation II (APACHEII) and Simplified Acute Physiology Score II (SAPSII) scores. Methods: APACHEII and SAPSII scores were calculated after 24 h from ICU admission. Plasma MR-proADM levels were measured by TRACE-Kryptor on admission (T0) and after 24 h (T24). The primary endpoint was intra-hospital mortality; secondary endpoint was length of stay (LOS). Results: One hundred and twenty-six consecutive nonselected patients admitted to an ICU were enrolled. Plasma MR-proADM levels were correlated with LOS (r = 0.28; p = 0.0014 at T0; r = 0.26; p = 0.005 at T24). Multivariate analysis showed that T0 MR-proADM was a significant predictor of mortality (odds ratio [OR]: 1.27; 95{\%} confidence interval [95{\%}CI]: 1.03-1.55; p = 0.022). Receiver operating characteristic curves analysis revealed that MRproADM on ICU admission identified non-survivors with high accuracy, not inferior to the one of APACHEII and SAPSII scores (area under the curve [AUC]: 0.71; 95{\%}CI: 0.62-0.78; p = 0.0002 for MR-proADM; AUC: 0.71; 95{\%}CI: 0.62-0.79; p < 0.0001 for APACHEII; AUC: 0.8; 95{\%}CI: 0.71-0.87; p < 0.0001 for SAPSII). Conclusions: Our findings point out a role of MR-proADM as a prognostic tool in non-selected patients in ICUs being a reliable predictor of mortality and LOS and support its use on admission to an ICU to help the management of critically ill patients.",
author = "Luisa Agnello and Antonino Giarratano and Raineri, {Santi Maurizio} and Marcello Ciaccio and Giulia Bivona and {Lo Sasso}, Bruna and Chiara Bellia",
year = "2019",
language = "English",
volume = "57",
pages = "549--555",
journal = "Clinical Chemistry and Laboratory Medicine",
issn = "1434-6621",
publisher = "Walter de Gruyter GmbH & Co. KG",

}

TY - JOUR

T1 - Mid-regional pro-adrenomedullin predicts poor outcome in non-selected patients admitted to an intensive care unit

AU - Agnello, Luisa

AU - Giarratano, Antonino

AU - Raineri, Santi Maurizio

AU - Ciaccio, Marcello

AU - Bivona, Giulia

AU - Lo Sasso, Bruna

AU - Bellia, Chiara

PY - 2019

Y1 - 2019

N2 - Background: Mortality risk and outcome in critically ill patients can be predicted by scoring systems, such as APACHE and SAPS. The identification of prognostic biomarkers, simple to measure upon admission to an intensive care unit (ICU) is an open issue. The aim of this observational study was to assess the prognostic value of plasma mid-regional pro-adrenomedullin (MR-proADM) at ICU admission in non-selected patients in comparison to Acute Physiology and Chronic Health Evaluation II (APACHEII) and Simplified Acute Physiology Score II (SAPSII) scores. Methods: APACHEII and SAPSII scores were calculated after 24 h from ICU admission. Plasma MR-proADM levels were measured by TRACE-Kryptor on admission (T0) and after 24 h (T24). The primary endpoint was intra-hospital mortality; secondary endpoint was length of stay (LOS). Results: One hundred and twenty-six consecutive nonselected patients admitted to an ICU were enrolled. Plasma MR-proADM levels were correlated with LOS (r = 0.28; p = 0.0014 at T0; r = 0.26; p = 0.005 at T24). Multivariate analysis showed that T0 MR-proADM was a significant predictor of mortality (odds ratio [OR]: 1.27; 95% confidence interval [95%CI]: 1.03-1.55; p = 0.022). Receiver operating characteristic curves analysis revealed that MRproADM on ICU admission identified non-survivors with high accuracy, not inferior to the one of APACHEII and SAPSII scores (area under the curve [AUC]: 0.71; 95%CI: 0.62-0.78; p = 0.0002 for MR-proADM; AUC: 0.71; 95%CI: 0.62-0.79; p < 0.0001 for APACHEII; AUC: 0.8; 95%CI: 0.71-0.87; p < 0.0001 for SAPSII). Conclusions: Our findings point out a role of MR-proADM as a prognostic tool in non-selected patients in ICUs being a reliable predictor of mortality and LOS and support its use on admission to an ICU to help the management of critically ill patients.

AB - Background: Mortality risk and outcome in critically ill patients can be predicted by scoring systems, such as APACHE and SAPS. The identification of prognostic biomarkers, simple to measure upon admission to an intensive care unit (ICU) is an open issue. The aim of this observational study was to assess the prognostic value of plasma mid-regional pro-adrenomedullin (MR-proADM) at ICU admission in non-selected patients in comparison to Acute Physiology and Chronic Health Evaluation II (APACHEII) and Simplified Acute Physiology Score II (SAPSII) scores. Methods: APACHEII and SAPSII scores were calculated after 24 h from ICU admission. Plasma MR-proADM levels were measured by TRACE-Kryptor on admission (T0) and after 24 h (T24). The primary endpoint was intra-hospital mortality; secondary endpoint was length of stay (LOS). Results: One hundred and twenty-six consecutive nonselected patients admitted to an ICU were enrolled. Plasma MR-proADM levels were correlated with LOS (r = 0.28; p = 0.0014 at T0; r = 0.26; p = 0.005 at T24). Multivariate analysis showed that T0 MR-proADM was a significant predictor of mortality (odds ratio [OR]: 1.27; 95% confidence interval [95%CI]: 1.03-1.55; p = 0.022). Receiver operating characteristic curves analysis revealed that MRproADM on ICU admission identified non-survivors with high accuracy, not inferior to the one of APACHEII and SAPSII scores (area under the curve [AUC]: 0.71; 95%CI: 0.62-0.78; p = 0.0002 for MR-proADM; AUC: 0.71; 95%CI: 0.62-0.79; p < 0.0001 for APACHEII; AUC: 0.8; 95%CI: 0.71-0.87; p < 0.0001 for SAPSII). Conclusions: Our findings point out a role of MR-proADM as a prognostic tool in non-selected patients in ICUs being a reliable predictor of mortality and LOS and support its use on admission to an ICU to help the management of critically ill patients.

UR - http://hdl.handle.net/10447/347250

M3 - Article

VL - 57

SP - 549

EP - 555

JO - Clinical Chemistry and Laboratory Medicine

JF - Clinical Chemistry and Laboratory Medicine

SN - 1434-6621

ER -