Proenkephalin a 119-159 (penKid) - a novel biomarker for acute kidney injury in sepsis: an observational study.


Journal

BMC emergency medicine
ISSN: 1471-227X
Titre abrégé: BMC Emerg Med
Pays: England
ID NLM: 100968543

Informations de publication

Date de publication:
28 11 2019
Historique:
received: 19 08 2019
accepted: 24 10 2019
entrez: 30 11 2019
pubmed: 30 11 2019
medline: 27 5 2020
Statut: epublish

Résumé

Sepsis is a leading cause of death worldwide and a major challenge for physicians to predict and manage. Proenkephalin A 119-159 (penKid) is a reliable surrogate marker for the more unstable endogenous opioid peptide enkephalin, which has previously been shown to predict both acute and chronic kidney disease. The aim of this prospective observational study was to assess penKid as a predictor of acute kidney injury (AKI), multi-organ failure and mortality in sepsis among unselected sepsis patients presenting to the emergency department (ED). We enrolled 644 patients consecutively during office-hours (6 AM-6 PM) between December 1, 2013 and February 1, 2015. Fifty-six patients were excluded due to incomplete data. We measured penKid in 588 adult patients (patients under 18 years of age were excluded) with sepsis (≥2SIRS criteria + suspected infection) upon admission to the ED at Skåne University Hospital, Malmö, Sweden. Logistic regression analysis was used to relate levels of penKid at presentation to AKI, multi-organ failure, 28-day mortality and progression of renal SOFA subscore. Odds ratios are presented as the number of standard deviations from the mean of log-transformed penKid. In age and sex adjusted models, penKid predicted AKI within 48 h and 7 days, but these associations were attenuated after additional adjustment for estimated creatinine-based glomerular filtration rate (eGFR). In models adjusted for age, sex and eGFR, penKid significantly predicted progression from rSOFA = 0 and ≤ 1 to higher rSOFA scores as well as multi-organ failure and mortality. In contrast, eGFR did not predict 28-day mortality. PenKid is an effective predictor of renal injury, severe multi-organ failure and mortality in unselected sepsis patients presenting to the emergency department.

Sections du résumé

BACKGROUND
Sepsis is a leading cause of death worldwide and a major challenge for physicians to predict and manage. Proenkephalin A 119-159 (penKid) is a reliable surrogate marker for the more unstable endogenous opioid peptide enkephalin, which has previously been shown to predict both acute and chronic kidney disease. The aim of this prospective observational study was to assess penKid as a predictor of acute kidney injury (AKI), multi-organ failure and mortality in sepsis among unselected sepsis patients presenting to the emergency department (ED).
METHOD
We enrolled 644 patients consecutively during office-hours (6 AM-6 PM) between December 1, 2013 and February 1, 2015. Fifty-six patients were excluded due to incomplete data. We measured penKid in 588 adult patients (patients under 18 years of age were excluded) with sepsis (≥2SIRS criteria + suspected infection) upon admission to the ED at Skåne University Hospital, Malmö, Sweden. Logistic regression analysis was used to relate levels of penKid at presentation to AKI, multi-organ failure, 28-day mortality and progression of renal SOFA subscore. Odds ratios are presented as the number of standard deviations from the mean of log-transformed penKid.
RESULTS
In age and sex adjusted models, penKid predicted AKI within 48 h and 7 days, but these associations were attenuated after additional adjustment for estimated creatinine-based glomerular filtration rate (eGFR). In models adjusted for age, sex and eGFR, penKid significantly predicted progression from rSOFA = 0 and ≤ 1 to higher rSOFA scores as well as multi-organ failure and mortality. In contrast, eGFR did not predict 28-day mortality.
CONCLUSION
PenKid is an effective predictor of renal injury, severe multi-organ failure and mortality in unselected sepsis patients presenting to the emergency department.

Identifiants

pubmed: 31779591
doi: 10.1186/s12873-019-0283-9
pii: 10.1186/s12873-019-0283-9
pmc: PMC6883703
doi:

Substances chimiques

Biomarkers 0
Enkephalins 0
Protein Precursors 0
proenkephalin 0

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

75

Références

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Auteurs

Mari Rosenqvist (M)

Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 214 28, Malmö, Sweden. mari.rosenqvist@med.lu.se.
Infectious Disease Unit, Skåne University Hospital, Malmö, Sweden. mari.rosenqvist@med.lu.se.

Kevin Bronton (K)

Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 214 28, Malmö, Sweden. kevin.bronton@med.lu.se.

Oliver Hartmann (O)

Sphingotec GmbH, Neuendorfstraße 15A, Hennigsdorf, 16761, Germany.

Andreas Bergmann (A)

Sphingotec GmbH, Neuendorfstraße 15A, Hennigsdorf, 16761, Germany.

Joachim Struck (J)

Sphingotec GmbH, Neuendorfstraße 15A, Hennigsdorf, 16761, Germany.

Olle Melander (O)

Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, 214 28, Malmö, Sweden.
Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden.

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