Role of Some Biochemical Indices for Prediction of Acute Kidney Injury in Intensive Care Unit Patients in Upper Egypt

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-02-01

Study Completion Date

2025-06-30

Brief Summary

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1. We will investigate the relation between the triglyceride-glucose index and the development of AKI in ICU.
2. To detect whether the TGI is a predictor of poor outcome (requirement of renal replacement therapy, or 14-day in-hospital mortality, and length of hospital stay) in ICU.
3. Compare TGL, Neutrophil-to-lymphocyte ratio, and clinical score (sequential organ failure assessment SOFA score) as predictors of poor outcome in ICU.

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Detailed Description

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Acute kidney injury (AKI) is a common clinical syndrome with a broad aetiological profile. It complicates about 5% of hospital admissions and 30% of admissions to intensive care units (ICU). During last 20 years has been a significant change in the spectrum of severe AKI such that it is no longer mostly a single organ phenomenon but rather a complex multisystem clinical problem. mortality from AKI, when part of MOF, remains over 50%.

In the past few decades, the understanding of AKI has greatly improved, but early diagnosis remains a great challenge. The performance of traditional kidney function index and serum creatinine is very limited for the early diagnosis of acute kidney injury The triglyceride glucose index (TGI) has been suggested as a useful marker of insulin resistance. Previous studies have shown that TGI is associated with many diseases, but no study has examined the relationship between TGI and Aki .

the primary objective of the present study was to investigate the relationship between TGI and Aki.

Conditions

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Acute Kidney Injury

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

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biochemical indices

some biochemical indices for prediction of Acute kidney Injury

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

Patients admitted to ICU within 24 hours

Exclusion Criteria

* We will exclude those with any of the following:

1. Patients diagnosed more than 24 hours.
2. Patients with missing data of triglyceride or glucose.
3. Patients \&amp;lt;18years old.
4. patient with advanced liver disease and chronic kidney disease with or without dialysis

Minimum Eligible Age

16 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes