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Not yet recruitingNCT06351813Updated Jun 10, 2024

Predicting Adverse Kidney Events of Cardiac Surgery-Associated Acute Kidney Injury Using Novel Biomarkers

An observational study in Acute Kidney Injury, Critical Illness and Kidney Failure, sponsored by Shanghai Zhongshan Hospital. Not yet recruiting at 1 site in China. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2024-06-10.

Sponsored by Shanghai Zhongshan Hospital · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
358
Ages
18 Years and older
Sex
All
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Study summary

The aim of this study was to identify and validate novel biomarkers for predict acute kidney injury (AKI) subphenotype, major adverse kidney events and other poor outcomes.

Read the detailed description

Cardiac surgery-associated acute kidney injury (CSA-AKI) is a serious condition that is associated with increased mortality and morbidity. However, the current criteria for assessing the severity of AKI may not adequately capture the heterogeneity of this condition. This can lead to difficulties in identifying treatment effects in specific patient subgroups, which may contribute to the growing number of negative interventional trials in AKI. To address this issue, researchers have developed and validated two subphenotypes of AKI: resolving and nonresolving. These subphenotypes are based on the trajectory of serum creatinine (SCr) levels in the first 3 days after hospital presentation. By stratifying AKI patients based on these subphenotypes, we can better assess their risk and predict outcomes.

Several novel biomarkers have been developed to aid in the early detection of AKI, discrimination of its underlying causes, and prediction of outcomes. However, it remains unclear whether these biomarkers can accurately predict the development of a nonresolving AKI subphenotype. In our present study, we aim to address this gap in knowledge by conducting a large cohort study. Our goal is to identify and validate novel biomarkers that can effectively detect the resolving subphenotype of AKI, as well as predict major adverse kidney events and other poor outcomes.

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Conditions studied

  • Acute Kidney Injury
  • Critical Illness
  • Kidney Failure
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In context

Acute Kidney Injury

1,595 studies on the registry are indexed under Acute Kidney Injury; 371 are open to participants now.

This study's planned enrollment of 358 is above the median of 150 across 773 observational studies indexed under Acute Kidney Injury.

Browse Acute Kidney Injury studies →

Lead sponsor

Shanghai Zhongshan Hospital is the lead sponsor of 636 studies on the registry; 283 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Sampling method
Probability sample

Study population

Adult patients with age ≥ 18 years who experienced AKI within 48 hours of cardiac surgery were included in this study.

Inclusion criteria

  • Patients undergoing cardiac surgery who experienced AKI within 48 hours of cardiac surgery were screened.

Exclusion criteria

Exclusion Criteria:

  • History of End Stage Renal Disease or on Dialysis;
  • prior kidney transplantation;
  • patients with a DNR order;
  • patients without written informed consent;
  • pregnancy;
  • moribund patients with expected death within 24 h or whose survival to 28 days was unlikely due to an uncontrollable comorbidity (i.e., end-stage liver or heart disease, untreatable malignancy)
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Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
358 participants (estimated)
Patient registry
No
Biospecimen retention
Samples without dna
06

What researchers measure

Primary outcomes

  1. AKI nonresolving subphenotype

    The resolving subphenotype was defined by a decrease of 0.3 mg/dl or 25% in SCr from its maximum during the first 3 days of study enrollment. All subjects with AKI who did not meet this criterion were classified as having a nonresolving subphenotype

    Time frame: 7 days

Secondary outcomes

  1. Major adverse kidney events at 30 days

    Major adverse kidney events (MAKE) was defined as the composite of≥25% loss in estimated glomerular filtration rate (eGFR), dialysis, or death. Estimated GFR was calculated from serum creatinine using the MDRD equation.

    Time frame: 30 days

  2. Major adverse kidney events at 90 days

    MAKE was defined as the composite of≥25% loss in estimated glomerular filtration rate (eGFR), dialysis, or death. Estimated GFR was calculated from serum creatinine using the MDRD equation.

    Time frame: 90 days

  3. Major adverse kidney events at 365 days

    MAKE was defined as the composite of≥25% loss in estimated glomerular filtration rate (eGFR), dialysis, or death. Estimated GFR was calculated from serum creatinine using the modification of diet in renal disease (MDRD) equation.

    Time frame: 365 days

  4. Mortality

    Mortality at 30 days, 90 days and 365 days

    Time frame: 365 days

  5. Receipt of renal replacement treatment

    Patients received renal replacement treatment during hospital stay

    Time frame: 365 days

  6. Moderate and severe AKI

    Kidney Disease Improving Global Outcomes (KDIGO) stage 2 or stage 3

    Time frame: 7 days

  7. AKI progression

    worsening of KDIGO stage within 1 week (progressing from stage 1 to either stage 2 or stage 3, or from stage 2 to stage 3). Patients diagnosed with progressive or persisting stage 3 AKI (stage 3 AKI for \>3 consecutive days) were classified as having AKI progression. If patients who presented with stage 3 AKI but not requiring RRT subsequently required dialysis or developing persist severe AKI or death within 7 days, this was considered progression.

    Time frame: 7 days

  8. Composite Outcome

    Stage 3 AKI, renal replacement therapy or death through outpatient or telephone follow-up

    Time frame: 30 days

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Study locations

1 site
  • Shanghai Zhongshan Hospital
    Shanghai, Shanghai 200032, China
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References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jun 10, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06351813
Lead sponsor
Shanghai Zhongshan Hospital
Collaborators
Zhongshan Hospital (Xiamen), Fudan University, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University
Responsible party
Guowei Tu (Professor, Shanghai Zhongshan Hospital) — Principal investigator
First posted
Apr 8, 2024
Start date
Jul 1, 2024 (estimated)
Primary completion
Dec 31, 2026 (estimated)
Completion
Dec 31, 2027 (estimated)
Last update
Jun 10, 2024

Study contacts

Ying Su, Dr.
Contact
su.ying@zs-hospital.sh.cn
+86-021-64041990
Zhe Luo, Professor
study director · Fudan University

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Jun 2024. You cannot join it, but the record below documents what was studied.

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