Status
Conditions
About
Acute kidney injury (AKI) is associated with significant morbidity and mortality, and because no specific treatment is available, early acknowledgment is needed. The incidence of AKI and chronic kidney disease (CKD) have been increasing over time but it is not until the past decade there is an understanding of a bidirectional nature between AKI and CKD, where AKI predisposes to CKD and vice versa. The criteria for diagnosing AKI is through serum creatinine (sCr) and/or urine output. As detection of sCr-increases are delayed by 48-72 hours it is not an optimal biomarker for early recognition of AKI. In contrast the biomarker neutrophil gelatinase-associated lipocalin (NGAL) has shown to predict AKI within 12h of critical disease or postoperative, and without the requirement of prior measurements for comparison.
The purpose of the project is to investigate if the relatively new biomarker NGAL (neutrophil gelatinase-associated lipocalin), which is known to be able to detect AKI in an early phase, can be used to detect development of CKD and potential future hospital admissions in a relatively large and diverse cohort of patients admitted to the Acute Emergency Department at North Zealand Hospital.
The study is designed as a longitudinal prospective study where there is an enrollment estimation of 3600 unselected patients over one year. Blood tests will be taken when admitted and thereafter every day for the first week and subsequently every once a week throughout hospitalization. Patients that are sent home the same day, will still be included in the study but without further NGAL analyses.
Full description
Acute kidney injury (AKI) is associated with significant morbidity and mortality, and because no specific treatment is available, early acknowledgment is needed. The incidence of AKI and chronic kidney disease (CKD) have been increasing over time but it is not until the past decade there is an understanding of a bidirectional nature between AKI and CKD, where AKI predisposes to CKD and vice versa. The criteria for diagnosing AKI is through serum creatinine (sCr) and/or urine output. As detection of sCr-increases are delayed by 48-72 hours it is not an optimal biomarker for early recognition of AKI. In contrast the biomarker neutrophil gelatinase-associated lipocalin (NGAL) has shown to predict AKI within 12h of critical disease or postoperative, and without the requirement of prior measurements for comparison.
The purpose of the project is to investigate if the relatively new biomarker NGAL (neutrophil gelatinase-associated lipocalin), which is known to be able to detect AKI in an early phase, can be used to detect development of CKD and potential future hospital admissions in a relatively large and diverse cohort of patients admitted to the Acute Emergency Department at North Zealand Hospital.
The study is designed as a longitudinal prospective study where there is an enrollment estimation of 3600 unselected patients over one year. Blood tests will be taken when admitted and thereafter every day for the first week and subsequently every once a week throughout hospitalization. Patients that are sent home the same day, will still be included in the study but without further NGAL analyses. There will be follow-up time in all patients included in the study, up to one year after admission through the Danish National Patient Register and medical journals to see if the patients are reinstated, what they are diagnosed with and if they have had other hospital contacts. This will further be done to examine if NGAL is better at predicting the number of hospital contacts, up to one year after discharge.
Primary endpoint:
If NGAL can predict development of CKD defined as eGFR < 60ml/min per 1.73 m^2 and/or albumin/creatinine ratio >= 30mg/g over 3 months in patients upfilling the AKI criteria with a delta-creatinine >= 26,5 umol/l during the initial hospital admission, within one year from first admission. Cystatin C values will be compared to NGAL.
Secondary endpoints:
Enrollment
Sex
Ages
Volunteers
Inclusion criteria
Exclusion criteria
Loading...
Data sourced from clinicaltrials.gov
Clinical trials
Research sites
Resources
Legal