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临床试验/NCT05283213
NCT05283213已完成不适用

Elaboration d'un Score Clinico-biologique Innovant Pour la détection précoce de l'Insuffisance rénale aiguë associée à la chirurDevelopment of an Innovative Clinico-biological Score for the Early Detection of Acute Renal Failure Associated With Cardiac Surgery. Gie Cardiaque. Monocentric Prospective Study

Nantes University Hospital1 个研究点 分布在 1 个国家目标入组 400 人开始时间: 2022年11月22日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
400
试验地点
1
主要终点
composite score

研究概览

简要总结

The prediction and early detection of acute renal failure associated with cardiac surgery (ARF-CS) are desirable in order to try to reduce its magnitude. Indeed, its incidence is high (29 to 36%, reaching up to 81% in some series, depending on the vulnerability of the target population) and its consequences are often serious: prolongation of the length of stay in the intensive care unit and in hospital, death, and evolution towards chronic renal failure, possibly end-stage (justifying long-term extra-renal purification and/or renal transplantation). The challenge is all the more crucial given the high volume of cardiac surgery. In this context, the objective of identifying early on patients at high risk of developing AKI-CC - and therefore eligible for "nephroprotective" measures has generated, in the last decade, a strong interrest around preoperative scores and biomarkers. Thus, more than ten models predicting AKI-CC have been developed and more than 150 candidate biomarkers have been identified since 2004. This insterest is not waning. The DETECT-AKI project aims to evaluate, in a large population (N=400 patients) with varied patient profiles, not only the performance of the most innovative and promising preoperative scores and biomarkers described in the literature, but also the combination of biomarkers with relevant perioperative clinical and biological data in the framework of a clinico-biological score for the early identification of AKI-CC

详细描述

The DETECT-AKI study aims at establishing an innovative composite score, the basis for decision making in the early initiation of nephroprotection measures. This score will include early clinical and biological data before, during and after surgery and may therefore include one or more modern biomarkers. The DETECT-AKI study foresees from the outset the internal validation of the score by bootstrap method: first essential step for the subsequent application of the established score. This is also one of the strengths of the study.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Adults undergoing scheduled, combined, cardiac surgery with CEC.
  • "Combined" cardiac surgery (as opposed to simple cardiac surgery, which is less likely to result in ARF-CC) involves:
  • 2 heart valves (and possibly other procedures) or ≥2 types of procedures among coronary artery bypass graft(s), valve, myocardial, and thoracic aortic surgery.
  • A "scheduled" surgical procedure implies that the patient was added to the operative schedule more than 24 hours before the procedure.

排除标准

  • unscheduled cardiac surgery
  • at least one session of extra-renal purification in the week prior to surgery
  • Patient refusal to participate in this research,
  • participation in a study with a possible impact on the incidence of AKI-CC
  • pregnant woman
  • minor, adult under guardianship, protected person.
  • no biomarker concentrations were measured and no clinico-biological scores were determined,
  • no pre-CEC creatinine assay is available,
  • the patient dies before H48 unless AKI-CC has occurred in the interim,
  • the patient withdraws consent to participate in the study.

结局指标

主要结局

composite score

时间窗: From pre-CC to 6th hour post CC

The primary endpoint will be ASCroc associated with the DETECT-AKI composite score established at H6. AKI-CC will be based on the current international definition (elevation of creatinine and/or occurrence of oliguria within 48 h postoperatively). Internal validation of the score will be based on a bootstrap resampling method.

次要结局

  • Early renal biomarkers performance (creatininemia, urinary TIMP*IGFBP7, plasma and urinary NGAL, plasma Cystatin C / Plasma Hemolysis Index (PH) / interleukin-6, uremia and urinary DKK3)(From pre-CC to 6th hour post CC)
  • Score performance of early renal biomarkers (creatininemia, urinary CCL-14, plasma and urinary NGAL, plasma Cystatin C, IH, IL6, angiopoietin-2, PENK-A, uremia and urinary DKK3)(From pre-CC to 6th hour post CC)
  • Score and biomarkers performance for prediction(From pre-CC to 6th hour post CC)
  • Algorithm(From pre-CC to 6th hour post CC)
  • Biomarkers performance in AKI persistance (creatininemia, urinary TIMP*IGFBP7, plasma and urinary NGAL, plasma Cystatin C / Plasma Hemolysis Index (PH) / interleukin-6, uremia and urinary DKK3)(beyond 48th hour post CC to 7 days)
  • Sensitivity analysis(At 7th days)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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