The predictive value of the prognostic nutritional index for postoperative acute kidney injury in patients undergoing on-pump coronary bypass surgery.


Journal

Journal of cardiothoracic surgery
ISSN: 1749-8090
Titre abrégé: J Cardiothorac Surg
Pays: England
ID NLM: 101265113

Informations de publication

Date de publication:
11 Apr 2019
Historique:
received: 12 01 2019
accepted: 01 04 2019
entrez: 12 4 2019
pubmed: 12 4 2019
medline: 30 5 2019
Statut: epublish

Résumé

We aimed to investigate the predictive value of the prognostic nutritional index (PNI) regarding the development of acute kidney injury (AKI) after elective coronary artery bypass grafting (CABG). A total of 336 consecutive patients with normal serum creatinine levels undergoing CABG were enrolled in this retrospective study. AKI was defined as meeting Acute Kidney Injury Network (AKIN) criteria based on the occurrence of creatinine changes within the first 48 h after CABG surgery. The patients were grouped according to whether they developed AKI or not into an AKI (-) and an AKI (+) group. AKI developed in 88 (26.2%) of all patients. The PNI was independently predictive of AKI (OR: 0.829, 95% CI: 0.783-0.877, p <  0.001). Moreover, C-reactive protein (CRP), a history of diabetes mellitus, and positive inotropric usage were independent risk factors for AKI in the multivariate logistic regression analysis. The area under the curve (AUC) of the multivariable model, including positive inotrope support, a history of diabetes mellitus, and CRP, was 0.693 (95% CI: 0.626-0.760, p <  0.001) in predicting AKIN. When the PNI was added to the multivariable model, the AUC was 0.819 (95% CI, 0.762-0.865, z = 3.777, difference p = 0.0002). Also, the addition of the PNI to the multivariable model was associated with a significant net reclassification improvement estimated at 88.2% (p <  0.001) and an integrated discrimination improvement of 0.22 (p <  0.001). Our study demonstrated that decreasing the PNI could be associated with the development of AKI after coronary artery bypass surgery.

Sections du résumé

BACKGROUND BACKGROUND
We aimed to investigate the predictive value of the prognostic nutritional index (PNI) regarding the development of acute kidney injury (AKI) after elective coronary artery bypass grafting (CABG).
METHODS METHODS
A total of 336 consecutive patients with normal serum creatinine levels undergoing CABG were enrolled in this retrospective study. AKI was defined as meeting Acute Kidney Injury Network (AKIN) criteria based on the occurrence of creatinine changes within the first 48 h after CABG surgery. The patients were grouped according to whether they developed AKI or not into an AKI (-) and an AKI (+) group.
RESULTS RESULTS
AKI developed in 88 (26.2%) of all patients. The PNI was independently predictive of AKI (OR: 0.829, 95% CI: 0.783-0.877, p <  0.001). Moreover, C-reactive protein (CRP), a history of diabetes mellitus, and positive inotropric usage were independent risk factors for AKI in the multivariate logistic regression analysis. The area under the curve (AUC) of the multivariable model, including positive inotrope support, a history of diabetes mellitus, and CRP, was 0.693 (95% CI: 0.626-0.760, p <  0.001) in predicting AKIN. When the PNI was added to the multivariable model, the AUC was 0.819 (95% CI, 0.762-0.865, z = 3.777, difference p = 0.0002). Also, the addition of the PNI to the multivariable model was associated with a significant net reclassification improvement estimated at 88.2% (p <  0.001) and an integrated discrimination improvement of 0.22 (p <  0.001).
CONCLUSIONS CONCLUSIONS
Our study demonstrated that decreasing the PNI could be associated with the development of AKI after coronary artery bypass surgery.

Identifiants

pubmed: 30971264
doi: 10.1186/s13019-019-0898-7
pii: 10.1186/s13019-019-0898-7
pmc: PMC6458745
doi:

Substances chimiques

Cardiotonic Agents 0
C-Reactive Protein 9007-41-4
Creatinine AYI8EX34EU

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

74

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Auteurs

Ahmet Dolapoglu (A)

Department of Cardiovascular Surgery, Medical School, Balikesir University Tip Fakultesi, 10145, Balikesir, Turkey. ahmetdolapoglu@yahoo.com.

Eyup Avci (E)

Department of Cardiology, Medical School, Balikesir University, 10145, Balikesir, Turkey.

Tuncay Kiris (T)

Department of Cardiology, Izmir Katip Celebi University, Ataturk Training and Research Hospital, Basın Sitesi, 35360, Izmir, Turkey.

Onursal Bugra (O)

Department of Cardiovascular Surgery, Medical School, Balikesir University Tip Fakultesi, 10145, Balikesir, Turkey.

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Classifications MeSH