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387833

Early prediction of acute kidney injury with cell cycle arrest biomarkers using plethesmography directed fluid management in major abdominal surgery

Article

Last updated: 31 Dec 2024

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Abstract

Background
Acute kidney injury (AKI) is a known complication after major abdominal surgery. Use of the usual functional AKI biomarkers for detection shows delayed results, and so, the use of cell cycle arrest biomarker was proposed.
Purpose
The aim of the present study was to assess the arrest biomarker as an early tool for AKI prediction in major abdominal surgery.
Methods
After receiving approval from the Ethics Committee and taking informed written consent, a prospective randomized study was conducted. Forty adult patients were scheduled for major abdominal surgery. Patients were randomly categorized using closed-envelope technique into two equal groups (25 patients each): the control group (20 patients) with intraoperative standard fluid therapy and the goal-directed fluid therapy (GDT) (20 patients) using plethysmography. Urinary cycle arrest biomarkers were measured at 4 and 12 h after ICU admission.
Results
The mean value of the arrest biomarkers showed a significant increase in the control group only at 4 h period ( = 0.017). Moreover, there was a statistically significant increase in the number of positive patients in the control group at 4 h period only ( = 0.044). Urine arrest biomarkers were higher in AKI patients than in the non-AKI ones at 4 h ( = 0.003) and 12 h ( = 0.004). The arrest biomarker AUROC values at 4 and 12 h were 0.887 and 0.875, respectively.
Conclusion
From these results, we concluded that cell cycle arrest biomarkers can predict AKI after major abdominal surgery. In addition, AKI incidence showed no difference between the control group and the GDT group.

DOI

TEJA-2022-0105

Keywords

prediction, cell cycle arrest biomarkers, Acute kidney injury, major abdominal surgery, plethysmography

Authors

First Name

Marwa Medhat Ahmed

Last Name

Mahran

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Affiliation

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Orcid

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First Name

Amal Mohamed

Last Name

Sabry Ahmed

MiddleName

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Affiliation

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Email

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City

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Orcid

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First Name

Ahmed Youssef

Last Name

Aly Mohamed

MiddleName

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Affiliation

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Email

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City

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Orcid

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First Name

Ayman Fathy

Last Name

Khalifa Elsayed

MiddleName

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Affiliation

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City

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Orcid

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Volume

38

Article Issue

1

Related Issue

51161

Issue Date

2022-12-01

Receive Date

2022-05-15

Publish Date

2022-12-31

Page Start

415

Page End

422

Print ISSN

1110-1849

Online ISSN

1687-1804

Link

https://egja.journals.ekb.eg/article_387833.html

Detail API

https://egja.journals.ekb.eg/service?article_code=387833

Order

387,833

Publication Type

Journal

Publication Title

Egyptian Journal of Anaesthesia

Publication Link

https://egja.journals.ekb.eg/

MainTitle

Early prediction of acute kidney injury with cell cycle arrest biomarkers using plethesmography directed fluid management in major abdominal surgery

Details

Type

Article

Created At

21 Dec 2024