Thinking fast and slow: lactate and MELD-XI (model for end-stage liver disease excluding INR) are useful for estimating mortality after cardiopulmonary resuscitation.


Journal

Minerva anestesiologica
ISSN: 1827-1596
Titre abrégé: Minerva Anestesiol
Pays: Italy
ID NLM: 0375272

Informations de publication

Date de publication:
09 2021
Historique:
pubmed: 4 5 2021
medline: 21 10 2021
entrez: 3 5 2021
Statut: ppublish

Résumé

Intensivists keep getting challenged with prognostication after cardiopulmonary resuscitation (CPR). The model for end-stage liver disease, excluding INR (MELD-XI) Score has proven valuable for assessing illness severity. Serum lactate is a readily available and established indicator of general stress and tissue hypoxia. We aimed to evaluate the prognostic value of MELD-XI combined with serum lactate in patients after CPR. A retrospective analysis on 106 patients after CPR was performed. Multivariable Cox regression was performed to evaluate associations with 30-day mortality and neurological outcome by means of cerebral performance category (CPC). An optimal cut-off was calculated by means of the Youden Index. Patients were then divided into subgroups based on the optimal cut-offs for MELD-XI and serum lactate. MELD-XI and lactate were independently associated with mortality. The respective cut-offs were MELD-XI>12 and lactate ≥2.5 mmol/L. Patients were split into three groups: lactate <2.5 mmol/L and MELD-XI≤12 (low-risk; N.=32), lactate ≥2.5 mmol/L or MELD-XI>12 (medium-risk; N.=39), and lactate ≥2.5 mmol/L and MELD-XI >12 (high-risk; N.=33). The mortality rates were 6%, 26% and 61% in the low, medium and high-risk group. This combined model yielded in the highest predictive abilities (AUC=0.78 95%CI: 0.68-0.85; P=0.03 vs. AUC=0.66 for SOFA Score). Worse neurological outcome (CPC 3 or 4) was more common in the medium and high-risk group (6.25%, 10.3% and 9.1%). The combination of MELD-XI and lactate concentration at ICU admission was superior to the more complex SOFA Score for prediction of mortality after CPR.

Sections du résumé

BACKGROUND
Intensivists keep getting challenged with prognostication after cardiopulmonary resuscitation (CPR). The model for end-stage liver disease, excluding INR (MELD-XI) Score has proven valuable for assessing illness severity. Serum lactate is a readily available and established indicator of general stress and tissue hypoxia. We aimed to evaluate the prognostic value of MELD-XI combined with serum lactate in patients after CPR.
METHODS
A retrospective analysis on 106 patients after CPR was performed. Multivariable Cox regression was performed to evaluate associations with 30-day mortality and neurological outcome by means of cerebral performance category (CPC). An optimal cut-off was calculated by means of the Youden Index. Patients were then divided into subgroups based on the optimal cut-offs for MELD-XI and serum lactate.
RESULTS
MELD-XI and lactate were independently associated with mortality. The respective cut-offs were MELD-XI>12 and lactate ≥2.5 mmol/L. Patients were split into three groups: lactate <2.5 mmol/L and MELD-XI≤12 (low-risk; N.=32), lactate ≥2.5 mmol/L or MELD-XI>12 (medium-risk; N.=39), and lactate ≥2.5 mmol/L and MELD-XI >12 (high-risk; N.=33). The mortality rates were 6%, 26% and 61% in the low, medium and high-risk group. This combined model yielded in the highest predictive abilities (AUC=0.78 95%CI: 0.68-0.85; P=0.03 vs. AUC=0.66 for SOFA Score). Worse neurological outcome (CPC 3 or 4) was more common in the medium and high-risk group (6.25%, 10.3% and 9.1%).
CONCLUSIONS
The combination of MELD-XI and lactate concentration at ICU admission was superior to the more complex SOFA Score for prediction of mortality after CPR.

Identifiants

pubmed: 33938680
pii: S0375-9393.21.15420-3
doi: 10.23736/S0375-9393.21.15420-3
doi:

Substances chimiques

Lactic Acid 33X04XA5AT

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1017-1024

Auteurs

Richard Rezar (R)

Department of Cardiology, Clinic of Internal Medicine II, Paracelsus Medical University of Salzburg, Salzburg, Austria - r.rezar@salk.at.

Michael Lichtenauer (M)

Department of Cardiology, Clinic of Internal Medicine II, Paracelsus Medical University of Salzburg, Salzburg, Austria.

Philipp Schwaiger (P)

Department of Cardiology, Clinic of Internal Medicine II, Paracelsus Medical University of Salzburg, Salzburg, Austria.

Clemens Seelmaier (C)

Department of Cardiology, Clinic of Internal Medicine II, Paracelsus Medical University of Salzburg, Salzburg, Austria.

Ingrid Pretsch (I)

Department of Cardiology, Clinic of Internal Medicine II, Paracelsus Medical University of Salzburg, Salzburg, Austria.

Mathias Ausserwinkler (M)

Department of Cardiology, Clinic of Internal Medicine II, Paracelsus Medical University of Salzburg, Salzburg, Austria.

Jochen Reichle (J)

Department of Cardiology, Clinic of Internal Medicine II, Paracelsus Medical University of Salzburg, Salzburg, Austria.

Peter Jirak (P)

Department of Cardiology, Clinic of Internal Medicine II, Paracelsus Medical University of Salzburg, Salzburg, Austria.

Christian Jung (C)

Division of Cardiology, Pulmonology and Vascular Medicine, Faculty of Medicine, Heinrich-Heine-University, Düsseldorf, Germany.

Bernhard Strohmer (B)

Department of Cardiology, Clinic of Internal Medicine II, Paracelsus Medical University of Salzburg, Salzburg, Austria.

Uta C Hoppe (UC)

Department of Cardiology, Clinic of Internal Medicine II, Paracelsus Medical University of Salzburg, Salzburg, Austria.

Bernhard Wernly (B)

Department of Cardiology, Clinic of Internal Medicine II, Paracelsus Medical University of Salzburg, Salzburg, Austria.

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