A simple risk score for prediction of sepsis associated-acute kidney injury in critically ill patients.
Acute kidney injury
Intensive care unit
Risk factors
Risk score
Sepsis
Journal
Journal of nephrology
ISSN: 1724-6059
Titre abrégé: J Nephrol
Pays: Italy
ID NLM: 9012268
Informations de publication
Date de publication:
Dec 2019
Dec 2019
Historique:
received:
23
03
2019
accepted:
18
06
2019
pubmed:
18
7
2019
medline:
10
9
2020
entrez:
18
7
2019
Statut:
ppublish
Résumé
Sepsis is common and frequently fatal condition in critically ill patients and is a major cause of acute kidney injury (AKI). In this retrospective study, we sought to develop a comprehensive risk score model of sepsis associated-AKI (SA-AKI). A total of 2617 patients were randomly assigned to a development (1554 patients) and a validation group (777 patients). The risk score model for SA-AKI was developed with multivariate regression analysis in development group and the model was further evaluated on validation group. We identified 16 independent predictors of SA-AKI in development group (age ≥ 60 years, hypertension/coronary heart disease, diabetes, chronic kidney disease, heart failure, chronic obstructive pulmonary disease, acute severe pancreatitis, hypotension, hypoproteinemia, lactic acidosis, the length of stay in intensive care unit(ICU), 60 g/L<hemoglobin < 90 g/L, hemoglobin ≤ 60 g/L, and ≥ 2 failed organs. This model had excellent performance characteristics in validation cohort(c statistic 0.857, 95% CI 0.839-0.874). The novel risk score model for SA-AKI in ICU can identify patients at high risk to develop AKI. Application of this model could help clinicians to stratify patients for primary prevention, surveillance and early therapeutic intervention to improve care and prognosis of sepsis patients in ICU.
Sections du résumé
BACKGROUND
BACKGROUND
Sepsis is common and frequently fatal condition in critically ill patients and is a major cause of acute kidney injury (AKI). In this retrospective study, we sought to develop a comprehensive risk score model of sepsis associated-AKI (SA-AKI).
METHODS
METHODS
A total of 2617 patients were randomly assigned to a development (1554 patients) and a validation group (777 patients). The risk score model for SA-AKI was developed with multivariate regression analysis in development group and the model was further evaluated on validation group.
RESULTS
RESULTS
We identified 16 independent predictors of SA-AKI in development group (age ≥ 60 years, hypertension/coronary heart disease, diabetes, chronic kidney disease, heart failure, chronic obstructive pulmonary disease, acute severe pancreatitis, hypotension, hypoproteinemia, lactic acidosis, the length of stay in intensive care unit(ICU), 60 g/L<hemoglobin < 90 g/L, hemoglobin ≤ 60 g/L, and ≥ 2 failed organs. This model had excellent performance characteristics in validation cohort(c statistic 0.857, 95% CI 0.839-0.874).
CONCLUSION
CONCLUSIONS
The novel risk score model for SA-AKI in ICU can identify patients at high risk to develop AKI. Application of this model could help clinicians to stratify patients for primary prevention, surveillance and early therapeutic intervention to improve care and prognosis of sepsis patients in ICU.
Identifiants
pubmed: 31313123
doi: 10.1007/s40620-019-00625-y
pii: 10.1007/s40620-019-00625-y
doi:
Types de publication
Journal Article
Multicenter Study
Randomized Controlled Trial
Langues
eng
Sous-ensembles de citation
IM
Pagination
947-956Références
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