Type of study: Cohort study with prospectively collected clinical data cross-matched with local \& national databases.
Source population: Patients suffering from AKI on a mixed intensive care unit, at the Karolinska University Hospital, Solna.
Setting: Single centre, Central Intensive Care unit Karolinska University hospital, Solna, Stockholm from September 2008 and May 2011.
Exposure: AKI on ICU and grade of AKI according to the RIFLE criteria Intervention: none
Outcome: Renal function 3 months after ICU discharge according to creatinine and Cystatin C measurements.
Parameters: Co-morbidities, ICU diagnoses, disease severity score, daily physiological and laboratory parameters, medications administered, interventions RRT (Renal replacement therapy), mechanical intervention, inotropes, surgery.
Data is crossmatched with national registries including the Swedish cause of death register (to obtain dates of death), the Swedish renal register (to obtain details of patients receiving chronic dialysis and with pre-existing Chronic Kidney Disease (CKD) diagnoses. Data is also cross matched with a large local ICU register (Clinisoft) to obtain physiological parameters\& intervention details. Clinisoft is also used to obtain risk of death for all ICU patients and all AKI patients (from the source population). Ethical approval has been granted by Stockholm Regional ethical review body (2008-408-32 2008/443-31/1-3, 2010/1780-31-2, 2011-408-32 and 2016-1801-32).
Aims:
1. Describe the incidence of renal dysfunction in terms of Glomerular filtration rate (GFR) under 60ml/min/173m² at 3-6 months follow-up after AKI. According to serum Cystatin C and Creatinine values.
2. Describe the incidence of Acute Kidney Disease (AKD) at 3 month follow-up.
3. Produce a predictive model using comorbidities and admission data to CKD (Chronic Kidney Disease) and AKD 3-6 after AKI in intensive care patients.
4. Examine how estimated GFR using creatinine and Cystatin C differ from measured Iohexol GFR at 6 month follow-up.
