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Treatment Costs of Kidney Injury in Patients Having Heart Surgery in the UK

Treatment Costs of Acute Kidney Injury in Patients Undergoing Cardiac Surgery in the UK: A Retrospective Study

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07719569
Acronym
Cost-AKI
Enrollment
4600
Registered
2026-07-22
Start date
2026-10-01
Completion date
2027-04-01
Last updated
2026-07-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Acute Kidney Injury

Brief summary

Single-centre retrospective analysis of prospectively collected data with propensity matched scoring groups (AKI v/s non-AKI). Data collection from databases (or their equivalent): PATS Dendrite, Electronic Medical Records, TD-web (results Portal), MedTrack (ICU database), iSite (Radiology), SPY (Long-term status)

Detailed description

BACKGROUND Cardiac surgery associated acute kidney injury (CSA-AKI) is reported in 25-40% of patients. This variability is due to a spectrum of definitions used to classify AKI. AKI definition and staging are based on the Risk, Injury, Failure, Loss, End-stage kidney disease (RIFLE) criteria and the Acute Kidney Injury Network (AKIN) criteria, which have been further refined in the Kidney Disease: Improving Global Outcomes (KDIGO) AKI working group guidelines. It is now customary to use the KDIGO definition or its modified version - the AKIN consensus criteria. The development of AKI in the post-op cardiac surgery setting is associated with significant morbidity, mortality, prolonged intensive care (ICU) & in-hospital stays, increased treatment costs and poorer long-term survival and quality of life. Despite the ability to identify patients at high risk preoperatively, no effective strategy has yet been established to prevent CSA-AKI. RATIONALE FOR CURRENT STUDY Acute kidney injury (AKI) is associated with substantial increases in healthcare costs among patients undergoing cardiac surgery. One study estimated that AKI increases costs by $19,212 (£14,437) per patient (non-UK data). In a more recent US study published in 2018, the additional cost attributable to postoperative AKI was estimated at $38,358 (£28,824). This was accompanied by a nearly 10-fold increase in mortality (13.9% vs 1.3%) and a doubling of the mean in-hospital length of stay (18.2 vs 8.6 days) compared with patients without AKI. Similarly, ICU length of stay is significantly prolonged in patients who develop AKI after coronary artery bypass grafting (CABG), with a mean of 5.5 days versus 2.2 days in those without AKI. STUDY OBJECTIVES Primary Objective: To compare the costs of treatment for patients who develop different stages of cardiac surgery-associated acute kidney injury (CSA-AKI), with the costs for patients who do not develop CSA-AKI, in a UK cardiac surgery population. Secondary objectives: To determine the incidence of cardiac surgery-associated acute kidney injury (CSA-AKI) using the modified KDIGO criteria (overall and stratified by stage). To compare ICU and in-hospital length of stay. To evaluate the costs of ICU treatment and overall in-hospital stay. To assess survival rates during the index admission and at the time of study follow-up. To calculate the overall hospital costs for the cardiac surgery episode. STUDY DESIGN This is a single centre, propensity-matched, retrospective study involving patients who developed AKI after cardiac surgery (CSA-AKI) compared to propensity-matched (1:1) non-AKI patients. It involves retrieving patients' clinical data which was prospectively recorded during their stay when they underwent cardiac surgery at The Royal Wolverhampton NHS Trust in the UK. The data are currently within the PATS Dendrite cardiac surgery database, Electronic Medical Records, TD-web (results Portal), MedTrack (ICU database), iSite (Radiology), SPY (Long-term status) databases, or their equivalents. These are clinical databases used during routine care. The PATS dendrite database records pre-op, intra-op and post-op data pertaining to patient characteristics, operative details, ICU and ward stay including complications. Data recorded include date of operation, participant's age, body mass index & gender, risks factors (diabetes, left ventricular function, urgency of procedure), type of procedure, Log Euroscore, cardiopulmonary bypass time, date of extubation, need for inotropes, any complications (respiratory including additional respiratory support, re-exploration, arrhythmias, neurological dysfunction, renal dysfunction, blood transfusion, gastro-intestinal problems), date of ICU discharge, ICU re-admission, date of hospital discharge, participant status at time of discharge and discharge destination. This data is independently verified by the cardiac audit personnel and then the core data is submitted to NICOR from where surgeon-specific and Unit-specific mortality data is confirmed and published on the DoH/SCTS website. The MedTrack Database records the patients' complications and length of stay on the ICU. The iSite details all the radiological investigations while the TD-Web includes all the investigations results (e.g. blood analysis). Data on all databases are recorded contemporaneously. The Clinical Web Portal (Electronic Medical Records) will be used to cross check this information. Some data may need to be retrieved from the medical records. Survival data will be retrieved from the SPY database while hospital cost data will be requested from the hospital finance department. This study (data collection) will run over a period of three months. Thereafter, data analysis & interpretation, manuscript writing & publication may take up to another three months. The site research team will extract data from the clinical databases directly into Microsoft Excel spreadsheets. Initial data extraction will involve extracting the pre-propensity matching data for all eligible patients, which will be shared with the statistician for propensity matching. Following propensity matching, further data extraction will take place to collect the post-propensity matching data from the AKI and non-AKI propensity-matched groups. Any missing data will be cross-checked using the Clinical Web Portal or original medical records where necessary.

Interventions

OTHERNo Intervention: Observational Cohort

No intervention

Sponsors

The Royal Wolverhampton Hospitals NHS Trust
Lead SponsorOTHER_GOV

Study design

Observational model
CASE_CONTROL
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Underwent elective or in-house urgent cardiac surgery at the Royal Wolverhampton NHS Trust between 1st January 2013 and 31st December 2025, excluding those who had surgery during 2020 and 2021 due to the confounding effect of COVID-19 on acute kidney injury incidence. * Cardiopulmonary bypass (CPB) was utilised during the cardiac surgical procedure. * A complete minimum dataset is available within the study databases, comprising: age, sex, history of diabetes, left ventricular ejection fraction (LVEF), surgical priority, pre-operative haemoglobin and serum creatinine (SCr) levels, type of cardiac surgery performed, CPB duration, EuroSCORE or logistic EuroSCORE, renal replacement therapy (RRT) use, and post-operative day 1 and/or day 2 and/or day 3 SCr values.

Exclusion criteria

* The procedure was performed as an emergency surgery. * Required data fields are incomplete or unavailable. * Surgery was performed off-pump, without the use of cardiopulmonary bypass. * The patient was dialysis-dependent prior to surgery. * The patient had a pre-operative estimated glomerular filtration rate (eGFR) of less than 20 mL/min/1.73 m². * The cardiac procedure required deep hypothermic circulatory arrest (DHCA). * The patient has exercised their right to opt out of research data use.

Design outcomes

Primary

MeasureTime frameDescription
Overall cost of treatment in £ for the each KDIGO stage of CSA-AKIFrom date each patient had surgery to the date each patient discharged from hospital, for all eligible patients who underwent surgery between 1st January 2013 and 31st December 2025 (varies from patient to patient), assessed at point of data extractionBased on the KDIGO clinical practice guidelines, AKI is defined in relation to the change in serum creatinine (SCr), use of RRT (Renal Replacement Therapy) and urine output. For this study, CSA-AKI is defined (modified KDIGO) as when any one of the following three criteria are met: 1. An increase in serum creatinine (SCr) by ≥0.3 mg/dl (≥26.5 micromol/l) within 72 hours of surgery compared to the baseline value; or 2. An increase in SCr by ≥1.5 times from SCr value at baseline within 72 hours of surgery; or 3. Use of RRT within 7 days of surgery.

Secondary

MeasureTime frameDescription
Number of patients with CSA-AKIFrom date each patient had surgery to date each patient discharged from hospital, for all eligible patients who underwent surgery between 1st January 2013 and 31st December 2025 (varies from patient to patient), , assessed at point of data extractionIncidence of CSA-AKI overall and by KDIGO stage
Days patient spent in ICUFrom date each patient had surgery to date each patient discharged from ICU, for all eligible patients who underwent surgery between 1st January 2013 and 31st December 2025 (varies from patient to patient), assessed at point of data extractionDuration of patient's ICU stay following surgery (days)
Average cost of ICU stay in £ for each KDIGO CSA-AKI stageFrom date each patient had surgery to date each patient discharged from ICU, for all eligible patients who underwent surgery between 1st January 2013 and 31st December 2025 (varies from patient to patient), assessed at point of data extractionCosts of ICU stay (HRG) for the KDIGO CSA-AKI stages
Length of time each patient spent in hospital in daysFrom date each patient had surgery to date each patient discharged from hospital, for all eligible patients who underwent surgery between 1st January 2013 and 31st December 2025 (varies from patient to patient), assessed at point of data extractionIn-hospital stay duration (days)
Number of patients alive upon discharge from hospitalFrom date each patient had surgery to date each patient discharged from hospital, for all eligible patients who underwent surgery between 1st January 2013 and 31st December 2025 (varies from patient to patient), assessed at point of data extractionIn-hospital survival
Number of patients alive at the point of study data collectionFrom date each patient had surgery to date of data collection, for all eligible patients who underwent surgery between 1st January 2013 and 31st December 2025 (varies from patient to patient), assessed at point of data extractionLong term survival at time of study

Countries

United Kingdom

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 23, 2026