- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05386940
Protein Kinase N1 Level in Patients Undergoing Cardiac Surgery
May 19, 2022 updated by: Zhongnan Hospital
Protein Kinase N1 Level Predicts Acute Kidney Injury in Patients Undergoing Cardiac Surgery
Acute kidney injury (AKI) is one of the most frequent major complications in patients undergoing cardiac surgery.
CSA-AKI is independently related to increased perioperative mortality, increased hospital and ICU length of stay as well as heath care expenditure.
Identification of relevant biomarkers may lead to early diagnosis and improve patient outcomes and health care costs.
The pathophysiology of CSA-AKI is complex and ischemia-reperfusion injury is one of the important factors.
Recently, it has been shown that Protein kinase N1 (PKN1) is associated with ischemia-reperfusion injury.
In this study, relationship between PKN1 with the risk of CSA-AKI was analyzed and the predictive value of elevated level of PKN1 for early prediction of CSA-AKI was further evaluated.
Study Overview
Status
Completed
Intervention / Treatment
Detailed Description
Acute kidney injury (AKI) is one of the most frequent major complications in patients undergoing cardiac surgery.
The incidence of cardiac surgery-associated AKI (CSA-AKI) varies from 5% to 42% and is the second leading cause of AKI (after sepsis) in the intensive care unit (ICU).
CSA-AKI is independently related to increased perioperative mortality, increased hospital and ICU length of stay as well as heath care expenditure.
Early detection of CSA-AKI could improve patient outcomes and health care costs through targeted interventions.
Thus, identification of relevant biomarkers may lead to early diagnosis.
The pathophysiology of CSA-AKI is complex and ischemia-reperfusion injury is one of the important factors.
Recently, it has been shown that Protein kinase N1 (PKN1) is associated with ischemia-reperfusion injury.
Nowadays, little is known about relationship between PKN1 and CSA-AKI.
In this study, relationship between PKN1 with the risk of CSA-AKI was analyzed and the predictive value of elevated level of PKN1 for early prediction of CSA-AKI was further evaluated.
Study Type
Observational
Enrollment (Actual)
110
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Hubei
-
Wuhan, Hubei, China, 430000
- Zhongnan Hospital of Wuhan University
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
Patients (≥18 years old) underwent on-pump cardiac surgery and admitted to ICU immediately after surgery
Description
Inclusion Criteria:
- Patients (≥18 years old) underwent on-pump cardiac surgery
- admitted to ICU immediately after surgery
Exclusion Criteria:
- Patients younger than 18 years
- with prior AKI
- end-stage kidney disease
- need for chronic hemodialysis
- pregnant patients
- unable to give written consent for participation
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
PKN1 Tertile 1
|
different PKN1 level after on-pump cardiac surgery
|
PKN1 Tertile 2
|
different PKN1 level after on-pump cardiac surgery
|
PKN1 Tertile 3
|
different PKN1 level after on-pump cardiac surgery
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
the development of CSA-AKI
Time Frame: 1 Week
|
the development of CSA-AKI
|
1 Week
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
AKI severity
Time Frame: 1 Week
|
AKI stage 1,stage 2,stage 3
|
1 Week
|
need for RRT
Time Frame: 1 Week
|
Reflect kidney function
|
1 Week
|
duration of AKI (≥7 days)
Time Frame: 1 Week
|
Reflect kidney function
|
1 Week
|
length of ICU stay
Time Frame: up to 28 days
|
Reflect patient prognosis
|
up to 28 days
|
post-operative hospital stay
Time Frame: up to 28 days
|
Reflect patient prognosis
|
up to 28 days
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Study Director: ZhiYong Peng, Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
July 22, 2019
Primary Completion (Actual)
March 14, 2021
Study Completion (Actual)
March 14, 2021
Study Registration Dates
First Submitted
May 15, 2022
First Submitted That Met QC Criteria
May 19, 2022
First Posted (Actual)
May 23, 2022
Study Record Updates
Last Update Posted (Actual)
May 23, 2022
Last Update Submitted That Met QC Criteria
May 19, 2022
Last Verified
January 1, 2022
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2017004
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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