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

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

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06791200
Enrollment
100
Registered
2025-01-24
Start date
2025-02-01
Completion date
2025-06-30
Last updated
2025-01-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Acute Kidney Injury

Brief summary

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.

Detailed description

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.

Interventions

DIAGNOSTIC_TESTbiochemical indices

some biochemical indices for prediction of Acute kidney Injury

Sponsors

Assiut University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
16 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* The selected patients will be with the following 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 <18years old. 4. patient with advanced liver disease and chronic kidney disease with or without dialysis

Design outcomes

Primary

MeasureTime frame
TGIbaseline

Countries

Egypt

Contacts

Primary ContactEhdaa Ahmed Sanosy a Ehdaa Sanosy, Resident in Internal Medicine
ehdaa00sanosy@gmail.com+20 1122322491
Backup ContactProf. Dr. Lobna Farrag El Toony f El Toony, Professor of Internal Medicine
leltoni@yahoo.com+01005571004

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026