Ultrasound to Evaluate Acute Kidney Injury

February 2, 2024 updated by: Jianfeng Xie, Southeast University, China

Point-of-care Ultrasound to Evaluate Renal Prognosis of Acute Kidney Injury in Critically Ill Patients an Observational Study

Acute kidney injury is a common complication in critically ill patients. This condition can significantly prolong the length of hospital stay, increase the cost of hospitalization, and have a high mortality rate and a poor prognosis. Early assessment of patients' prognosis with acute kidney injury is vital for clinical treatment. Point-of-care ultrasound and renal injury biomarkers can be used to evaluate kidney injury at different levels. Therefore, it is speculated that dynamic monitoring can accurately predict the prognosis of patients with kidney injury.

Study Overview

Status

Not yet recruiting

Detailed Description

AKI is a common complication in patients with severe disease, significantly prolonging hospital stay, increasing hospital costs, high mortality, and poor prognosis. Epidemiological studies abroad have shown that the incidence of AKI in the intensive care unit (ICU) is about 39%, and the 90-day case fatality rate is 34%.

The renal prognosis of AKI is also a central concern for intensivists, as the renal prognosis also affects the long-term survival outcomes of patients with AKI. In a long-term follow-up of 1538 hospitalized patients, Bhatraju et al. found that in the AKI population, patients who did not recover their renal function during hospitalization had a significantly higher long-term mortality rate than those who recovered.

The main causes of AKI include prerenal factors, renal factors, and postrenal factors. The proportion of AKI caused by postrenal causes in ICU patients is small and can be easily treated and corrected, and prerenal and renal factors are the main causes of AKI in ICU patients. Therefore, the assessment of prerenal and nephrogenic factors in patients with AKI can predict the prognosis of AKI more accurately. An important mechanism of AKI pathogenesis is renal hypoperfusion. Urine output is often used to evaluate renal perfusion in clinical practice, but the specificity of urine output to assess renal perfusion is poor and is affected by factors such as age, stress, surgery, and diuretic use.

Point-of-care ultrasound has the advantages of non-invasive, simple, rapid, and reproducible evaluation, and has been widely used in critically ill patients. Color Doppler ultrasonography and contrast-enhanced ultrasonography can be used to measure renal perfusion parameters and assess renal function. Darmon et al. used renal ultrasound to measure the renal resistance index (RRI) and semi-quantitative renal perfusion (SQP) of renal blood flow in 371 critically ill patients and found that the RRI was significantly higher in patients with AKI than in patients without AKI, but RRI performed poorly in predicting short-term renal prognosis in AKI. Compared with two-dimensional ultrasound, contrast-enhanced ultrasound can visualize changes in renal microcirculation and provide a clearer assessment of renal perfusion. Yoon et al. performed contrast-enhanced renal sonography in 48 patients with AKI and found that the slope of renal cortex washout and peak medulla intensity predicted renal recovery, but the predictive performance was modest.

Novel biomarkers of AKI can identify kidney injury earlier, determine the severity of the injury, and assess prognosis. Komaru et al. measured urinary neutrophil gelatinase-associated lipids transport proteins (NGAL) and serum interleukin-6 levels in 133 patients with AKI requiring continuous renal replacement (CRRT) in the ICU. Urinary NGAL levels at the end of CRRT have been found to predict successful weaning of CRRT.

Based on the above research background, the following scientific hypothesis is proposed: the combination of renal ultrasound and AKI biomarkers can better predict the renal prognosis of AKI patients.

Study Type

Observational

Enrollment (Estimated)

50

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Jiangsu
      • Nanjing, Jiangsu, China, 210000
        • Zhongda Hospital Affiliated to Southeast University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Acute kidney injury patients in intensive care unit.

Description

Inclusion Criteria:

Meets diagnostic criteria for AKI (according to KDIGO guidelines); Age ≥ 18 years and ≤ 80 years

Exclusion Criteria:

Chronic kidney disease stage IV-V, maintenance hemodialysis; Kidney tumors; History of kidney transplantation; Nephrectomy; Pregnancy; Arrhythmias that affect the measurement of renal ultrasound.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
renal recovery
Renal recovery was defined as not satisfied by AKI criteria which was defined by KDIGO.
non renal recovery
Non renal recovery was defined by presenting at least KDIGO Stage 1 criteria or death.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Rate of acute kidney disease
Time Frame: Seven days after enrollment
AKD was defined by presenting at least KDIGO Stage 1 criteria for >7 days after enrollment
Seven days after enrollment

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

January 25, 2024

Primary Completion (Estimated)

May 31, 2024

Study Completion (Estimated)

June 30, 2024

Study Registration Dates

First Submitted

January 23, 2024

First Submitted That Met QC Criteria

February 2, 2024

First Posted (Estimated)

February 5, 2024

Study Record Updates

Last Update Posted (Estimated)

February 5, 2024

Last Update Submitted That Met QC Criteria

February 2, 2024

Last Verified

February 1, 2024

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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