Renal resistive index as an early predictor of acute kidney injury in a general ICU cohort: A prospective observational study
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 76
- 试验地点
- 1
- 主要终点
- To derive an association between RENAL RESISTIVITY INDEX and incidence of AKI
研究概览
简要总结
Acute kidney injury (AKI) occurs in 30 to 57% of critically ill intensive care patients. In its severe form, AKI requires renal replacement therapy, which is applied in 5–13% of ICU patients. Since AKI increases morbidity and mortality, early detection and prevention are crucial to improve the patient outcomes. However, early detection of AKI requires markers of early kidney injury that are sensitive and easily applicable in clinical practice. The diagnosis of AKI is routinely based on increased serum creatinine (SCr) and urea, as well as functional parameters, such as oliguria.
Renal vasoconstriction is an early manifestation of AKI. Determination of the renal resistive index (RRI) by Doppler sonography has also been suggested as a means of diagnosing AKI. Renal Doppler ultrasound can measure the renal resistive index (RRI), a sonographic index that reflects alterations in blood flow profile of the intrarenal arcuate or interlobar arteries.
This prospective study is aimed to analyse Renal resistivity index as an early predictor of AKI in our ICU cohort.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18.00 Year(s) 至 99.00 Year(s)（—）
- 性别
- All
入选标准
- •Critically ill patients aged 18 years or older admitted to the ICU with a predicted length of stay exceeding 24 hours and no baseline AKI.
排除标准
- •Pre-existing chronic kidney disease, known renal artery stenosis, pregnancy.
- •Post cardiac arrest resuscitated patients.
- •poor abdominal echogenicity, severe acute or chronic renal insufficiency defined as eGFR less than 30 ml/min/ 1.73m2, dialysis dependency, renal transplantation, mono-kidney, kidney tumour, anatomic kidney abnormalities.
- •Discharged within 24hrs.
结局指标
主要结局
To derive an association between RENAL RESISTIVITY INDEX and incidence of AKI
时间窗: Day 0 (Baseline), Day 1 (24-48 hours), Day 2 (48-72 hours)
次要结局
- To Evaluate the predictive performance of RRI compared to conventional AKI diagnostic methods (serum creatinine, urine output).(Day 0 (Baseline), Day 1 (24-48 hours), Day 2 (48-72 hours))
- To Identify the optimal cut-off value of RRI for AKI prediction.(Day 0 (Baseline), Day 1 (24-48 hours), Day 2 (48-72 hours))
- To Assess the relationship between RRI & AKI severity & mortality.(Day 0 (Baseline), Day 1 (24-48 hours), Day 2 (48-72 hours))
研究者
Dr Sasidhar Datla
Narayana Health