Estimating the risk of acute kidney injury associated with use of diuretics and renin angiotensin aldosterone system blockers in CPRD

Date of Approval: 
2016-06-06 00:00:00
Lay Summary: 
Kidney function can suddenly drop when someone becomes unwell, for example when they get an infection or diarrhoea and vomiting. This is particularly likely when the person is elderly, has other medical problems or is taking certain medication. This drop in kidney function is called acute kidney injury (AKI) and is associated with a higher chance of being admitted to hospital and spending longer in hospital. Expert opinion suggests that something as simple as stopping certain medications during illnesses may reduce the chance of AKI (sick day rule). However, there are no studies to prove that this protects patients from AKI and other experts actually warn that stopping these medications may cause harm in a different way. This study will explore whether prescription of these medications increases the likelihood of AKI. This will provide indirect evidence on whether stopping these medications when a patient becomes unwell may reduce the likelihood of AKI.
Technical Summary: 
The overall aim of the study is to determine whether the incidence of acute kidney injury (AKI) in patients with chronic conditions (hypertension, heart disease, diabetes and kidney disease) is related to prescribing of diuretics and/or renin angiotensin aldosterone system (RAAS) blockers. We will assess a cohort of patients with the aforementioned chronic conditions who are registered in the Clinical Practice Research Datalink (CPRD), and have taken RAAS blockers, diuretics, and/or a combination of these medications (exposed) and patients who have not taken any of these medications (unexposed). We will conduct Cox regression to determine the association between receiving a prescription of diuretics and/or RAAS blockers with the risk of AKI, and propensity score matching, prior event rate ratio and instrumental variables analyses to adjust for unmeasured confounding.
Health Outcomes to be Measured: 
Incidence of Acute Kidney Injury
Application Number: 

Fergus Caskey - Chief Investigator - University of Bristol
Kate Tilling - Collaborator - University of Bristol
Penny Whiting - Collaborator - University of Bristol
Theresa Redaniel - Collaborator - University of Bristol
Tim Jones - Collaborator - University of Bristol
Yoav Ben-Shlomo - Collaborator - University of Bristol

HES Admitted Patient Care;Patient Level Index of Multiple Deprivation;Practice Level Index of Multiple Deprivation;Other