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136139

Prediction of Acute Kidney Injury using Renal Angina Index in Pediatric Intensive Care Unit

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Last updated: 28 Dec 2024

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Abstract

Prediction of AKI or risk stratification of patients in danger of kidney damage is crucial for initiating preventive measures for AKI. Thus, an appropriate risk assessment for AKI is required in every patient admitted to the intensive care unit (ICU). the renal angina index (RAI), which is determined based on changes in renal function, was proposed to risk stratify critically ill children at high risk of AKI.Determine the capacity of renal angina list on foresee intense kidney harm in kids On pediatric seriousness What's more comparing its abilility with that about serum creatinine. This study will be An prospective obsevational examine might have been conveyed for 162 Youngsters admitted over pediatric emergency unit unit, all examined patients bring been subjected with full historical backdrop taking, finish clinical examination and estimation from claiming finish blood count, serum creatinine, liver work tests (ALT, AST, PT, PTT, INR) and electrolytes. Count 0f renal angina list Also identification of patients produced AKI at D3 as stated by KDIGO criteria. This contemplate incorporated 162 Youngsters. 54% of the examined patients were guys and 46% were females, their intend agdistis might have been 6. 3 years, seventy percent of the examined example needed AKI, there were no statistically critical contrasts the middle of patients with and without AKI in regards to sex, age, or weight, roc bend investigation demonstrated that RAI, and creatinine (each alone) might altogether foresee AKI toward the indicated cutoff qualities. RAI may be a greater amount touchy What's more particular (79. 6% & 64. 8% respectively) over creatinine (59. 4% & 61. 2%).

DOI

10.21608/bjas.2020.136139

Keywords

Acute kidney injury, renal angina index, PICU

Authors

First Name

S.A.

Last Name

Dabour

MiddleName

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Affiliation

Pediatrics Dept., Faculty of Medicine, Benha Univ., Benha, Egypt

Email

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City

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Orcid

-

First Name

S.A.

Last Name

Elgendy

MiddleName

-

Affiliation

Pediatrics Dept., Faculty of Medicine, Benha Univ., Benha, Egypt

Email

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City

-

Orcid

-

First Name

E.G.

Last Name

Abdel Rahman

MiddleName

-

Affiliation

Pediatrics Dept., Faculty of Medicine, Benha Univ., Benha, Egypt

Email

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City

-

Orcid

-

First Name

E.M.

Last Name

Zayed

MiddleName

-

Affiliation

Pediatrics Dept., Faculty of Medicine, Benha Univ., Benha, Egypt

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-

City

-

Orcid

-

Volume

5

Article Issue

Issue 4 part (1)

Related Issue

20273

Issue Date

2020-07-01

Receive Date

2020-01-06

Publish Date

2020-07-01

Page Start

39

Page End

44

Print ISSN

2356-9751

Online ISSN

2356-976X

Link

https://bjas.journals.ekb.eg/article_136139.html

Detail API

https://bjas.journals.ekb.eg/service?article_code=136139

Order

8

Type

Original Research Papers

Type Code

1,647

Publication Type

Journal

Publication Title

Benha Journal of Applied Sciences

Publication Link

https://bjas.journals.ekb.eg/

MainTitle

Prediction of Acute Kidney Injury using Renal Angina Index in Pediatric Intensive Care Unit

Details

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Article

Created At

23 Jan 2023