Study type

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

(A10BB) Sulfonylureas
(A10BH) Dipeptidyl peptidase 4 (DPP-4) inhibitors
(A10BK) Sodium-glucose co-transporter 2 (SGLT2) inhibitors

Medical condition to be studied

Diabetes mellitus management
Debridement
Diabetic foot
Peripheral vascular disorder
Peripheral revascularisation

Additional medical condition(s)

Lower-extremity amputation
Population studied

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Estimated number of subjects

300000
Study design details

Main study objective

To evaluate and compare the association between SGLT-2 inhibitor initiation, relative to other second-line glucose lowering drugs DPP-4 inhibitors and sulfonylureas, on the incidence and risk of diabetes-related amputation, based on a new-user, active comparator study design.

Outcomes

The primary outcome of interest is lower extremity amputation (LEA), defined using ICD-9 or CPT procedure codes. In secondary outcome analysis, we will assess the association between SGLT-2i initiation and other consequences of diabetic disease, including the following conditions: debridement, diabetic foot ulcer and gangrene, peripheral vascular disease (PVD), and peripheral revascularization. These conditions will be identified using ICD-9 diagnosis and procedure codes as well as CPT procedure codes.

Data analysis plan

We will use an active comparator, new user study design, which tends to synchronize patients with respect to diabetes severity and duration, to compare new users of SGLT-2i with new users of DPP-4i and sulfonylureas. We will use propensity scores to remove imbalances in measured potential confounders between study cohorts. We will estimate and compare the cumulative incidence of both primary and secondary outcomes for each study cohort using weighted Kaplan-Meier methods. Crude and adjusted hazard ratios (HRs) for both primary and secondary outcomes will be estimated using weighted Cox proportional hazards models, controlling for age, sex, as well as any potential confounders that remain unbalanced after propensity score implementation.
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