Clinical Application of Quantitative Ultrasonographic Analysis in Early Kidney Injury
- Conditions
- Patient Admitted to Hospital With Acute Kidney Injury Due to Sepsis
- Registration Number
- NCT05662774
- Lead Sponsor
- Second Affiliated Hospital of Soochow University
- Brief Summary
The purpose of this study was to quantify overall blood flow and renal cortical perfusion in patients with septic acute kidney injury (AKI) using ultrasound (US) Doppler and contrast-enhanced ultrasound (CEUS).
- Detailed Description
Kidney ultrasound is the most widely used imaging modality in initial AKI workup as it is widely available and free of complications. It is clinically feasible to use US Doppler and contrast-enhanced US (CEUS) to detect macroscopic and microscopic changes in renal blood flow, and also cardiac output alterations.The aim was to analyze changes in US Doppler and CEUS quantitative parameters in patients with septic AKI to explore perfusion within the renal parenchyma, and also measure global renal blood flow and cardiac output.
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 100
- Meets the AKI diagnostic criteria of the Kidney Disease: Improving Global Outcomes (KDIGO)
- Meets Sepsis 3.0 diagnostic criteria for sepsis: infection + SOFA ≥ 2
- Urinary tract obstruction, hydronephrosis, etc.
- Left ventricular ejection fraction <30% (measured by transthoracic echocardiography), systolic pulmonary artery pressure >90 mmHg (measured by transthoracic echocardiography)
- Allergy or adverse reaction to contrast media
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Ultrasound Doppler parameters First 24 hours after admission Relative blood flow(RBF)in L/min
Ultrasonography parameters First 24 hours after admission area under curve is the multiplication of acoustic intensity and time(a.u\*s)
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
The Second Hospital of Soochow University
🇨🇳Suzhou, Jiangsu, China