Shear Wave Elastography in Differentiating Acute or Chronic Kidney Disease

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age20+
SponsorNational Taiwan University Hospital

About this trial

Chronic kidney disease is a common global public health issue and its prevalence increased year by year. Early diagnosis and intervention can prevent further complications and comorbidities of long-term dialysis, cardiovascular events and mortality as well as improve the patients' life quality. To differentiate acute from chronic kidney disease was crucial especially in the setting of crowded and high-risk emergency department. To diagnose acute or chronic kidney disease, physicians usually use blood sample test combined with image studies such as conventional sonography, CT and MRI. However, there was lots of limited factors. The patients may have no previous visit records, poor renal function to receive contrast medium, or critical clinical condition to undergo time-wasting exam. Although the conventional renal sonography is accessible and inexpensive, the judgement is subjective and provide little clinical information. Recent researches of shear wave elastography in evaluating renal parenchymal stiffness showed some correlation with nephropathy. In our study, aiming to facilitating clinical implication, the investigators will use swear-wave elastography combined with conventional renal sonography to benefit patients in diagnosis of acute or chronic kidney disease.

Eligibility criteria

Qualifiers

The patients older than 20 years old who needed to receive renal sonography in emergency department of National Taiwan University Hospital.

Disqualifiers

The patients who didn't obtain agreement.

The patients who can't cooperate or follow the directions

Trial design

Treatments tested in this trial

  • Shear wave elastography to distinguish AKI from normal kidney
  • Shear wave elastography to distinguish AKI from CKD
  • Shear wave elastography to distinguish CKD from normal kidney

Treatment groups

800 Participants
are divided into 4 treatment groups