Network Analysis of Urinary Molecular Signature Complements Clinical Data to Predict Postoperative Acute Kidney Injury
| Status: | Recruiting |
|---|---|
| Conditions: | Renal Impairment / Chronic Kidney Disease, Hospital |
| Therapuetic Areas: | Nephrology / Urology, Other |
| Healthy: | No |
| Age Range: | 18 - Any |
| Updated: | 11/9/2018 |
| Start Date: | July 2015 |
| End Date: | December 2019 |
| Contact: | Matthew Ruppert, BS |
| Email: | Matthew.Ruppert@Medicine.ufl.edu |
| Phone: | 352-294-8723 |
Network Analysis of Urinary Molecular Signature Complements Clinical Data to Predict Postoperative Acute Kidney Injury Subtitle: Urinary Molecular and Metabolic Signature of Postoperative Acute Kidney Injury (NavigateAKI)
The risk for postoperative acute kidney injury (pAKI), as for any other postoperative
complications (PC), comes from a number of interactions between a patient's health before
surgery, strength to tolerate surgery and influences on the operating room environment. At
this time doctors do not have good tools to predict which patients may be at risk of having
this complication. The purpose of this research study is to develop a urine test that can be
used to predict the risk for having problems with kidney function after major surgery.
complications (PC), comes from a number of interactions between a patient's health before
surgery, strength to tolerate surgery and influences on the operating room environment. At
this time doctors do not have good tools to predict which patients may be at risk of having
this complication. The purpose of this research study is to develop a urine test that can be
used to predict the risk for having problems with kidney function after major surgery.
During hospitalization, a urine sample will be collected and additional tests will be added
to the daily standard of care blood samples before, during and three times following an
elective surgical procedure.
Study participants will complete telephone interviews at 6 and 12 months after discharge from
the hospital with a study team member. The telephone interview will consist of a short
questionnaire asking about state of health and a health survey.
At the same times of the phone interviews, the study team will mail a urine dipstick that is
used to detect any amount of protein in the urine. Study participants will be asked to
urinate on dipstick and send it back to the study team in provided shipping material.
Healthy Controls will be enrolled to establish baseline values for kidney health based upon a
single urine collection and a brief health questionnaire.
to the daily standard of care blood samples before, during and three times following an
elective surgical procedure.
Study participants will complete telephone interviews at 6 and 12 months after discharge from
the hospital with a study team member. The telephone interview will consist of a short
questionnaire asking about state of health and a health survey.
At the same times of the phone interviews, the study team will mail a urine dipstick that is
used to detect any amount of protein in the urine. Study participants will be asked to
urinate on dipstick and send it back to the study team in provided shipping material.
Healthy Controls will be enrolled to establish baseline values for kidney health based upon a
single urine collection and a brief health questionnaire.
Inclusion Criteria for Surgical Group:
- Patients undergoing major in-hospital surgery
- Planned hospital stay of at least 24 hours
- Able to enroll prior to undergoing surgery
Exclusion Criteria for Surgical Group:
- Patients not recruited 4 hours prior to undergoing surgery
Inclusion Criteria for Healthy volunteers:
> 18 years old that elect to serve as a control group
Exclusion Criteria for Healthy volunteers:
Renal Replacement Therapy AKI/CKD Nephrectomy Organ transplant
Any of the following within the last 12 months:
- Stroke/Transient Ischemic Attack
- Heart Attack
- Major Thoracic, abdominal, or Vascular surgery
- Radiation Therapy
- Chemo Therapy
- Immunosuppressive Therapy
IV contrast within the past 72 hours
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