Investigating the Effect of Near Infra-Red Spectroscopy (NIRS) on Early Diagnosis of Cardiac Surgery-Associated Acute Kidney Injury.

Acute Kidney Injury Cardiac Surgery Near Infra-Red Spectroscopy

Journal

Anesthesiology and pain medicine
ISSN: 2228-7523
Titre abrégé: Anesth Pain Med
Pays: Netherlands
ID NLM: 101585412

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 03 10 2020
revised: 15 11 2020
accepted: 17 11 2020
entrez: 21 6 2021
pubmed: 22 6 2021
medline: 22 6 2021
Statut: epublish

Résumé

Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major adverse effect of cardiac surgery. The early detection of this complication can improve the quality of postoperative care and help prevent this phenomenon. In this prospective descriptive-analytical study, 148 patients were enrolled, 107 of whom were selected for analysis between February and September 2019 in the Cardiac Surgery Unit of Golestan Hospital, Ahvaz, Iran. Kidney tissue oxygen saturation was measured at multiple definite times during surgery. Hemoglobin, blood urea nitrogen, creatinine, and lactate were measured during and 48 hours after the surgery. Forty-one patients were diagnosed with CSA-AKI according to the KDIGO criteria. Parametric and non-parametric analyses showed no significant difference between the CSA-AKI and non-CSA-AKI groups in the demographic parameters. Repeated measures ANOVA showed no significant difference in parameters, except for BUN. Repeated measures ANOVA showed a significant difference between both groups and time factors (P < 0.001, P = 0.0006, respectively). The ROC curve analyses showed that in a single point of time, the difference in the middle of CPB time from baseline had a high value in the prediction of AKI (AUC: 0.764; CI: 0.57 - 0.951). Kidney saturation monitoring could be considered in cardiac surgery for the rapid detection of CSA-AKI. Although kidney tissue saturation is not correlated directly to the arterial oxygen saturation, the physician and the surgery team can predict the chance of acute kidney injury.

Sections du résumé

BACKGROUND BACKGROUND
Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major adverse effect of cardiac surgery. The early detection of this complication can improve the quality of postoperative care and help prevent this phenomenon.
METHODS METHODS
In this prospective descriptive-analytical study, 148 patients were enrolled, 107 of whom were selected for analysis between February and September 2019 in the Cardiac Surgery Unit of Golestan Hospital, Ahvaz, Iran. Kidney tissue oxygen saturation was measured at multiple definite times during surgery. Hemoglobin, blood urea nitrogen, creatinine, and lactate were measured during and 48 hours after the surgery.
RESULTS RESULTS
Forty-one patients were diagnosed with CSA-AKI according to the KDIGO criteria. Parametric and non-parametric analyses showed no significant difference between the CSA-AKI and non-CSA-AKI groups in the demographic parameters. Repeated measures ANOVA showed no significant difference in parameters, except for BUN. Repeated measures ANOVA showed a significant difference between both groups and time factors (P < 0.001, P = 0.0006, respectively). The ROC curve analyses showed that in a single point of time, the difference in the middle of CPB time from baseline had a high value in the prediction of AKI (AUC: 0.764; CI: 0.57 - 0.951).
CONCLUSIONS CONCLUSIONS
Kidney saturation monitoring could be considered in cardiac surgery for the rapid detection of CSA-AKI. Although kidney tissue saturation is not correlated directly to the arterial oxygen saturation, the physician and the surgery team can predict the chance of acute kidney injury.

Identifiants

pubmed: 34150576
doi: 10.5812/aapm.109863
pmc: PMC8207845
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e109863

Informations de copyright

Copyright © 2020, Author(s).

Déclaration de conflit d'intérêts

Conflict of Interests: There is no conflict of interest to be declared.

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Auteurs

Fatemeh Javaherforooshzadeh (F)

Ahvaz Anesthesiology and Pain Research Centre, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Hojatolah Bhandori (H)

Ahvaz Anesthesiology and Pain Research Centre, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Sara Jarirahmadi (S)

Ahvaz Anesthesiology and Pain Research Centre, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Nima Bakhtiari (N)

Ahvaz Anesthesiology and Pain Research Centre, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Classifications MeSH