Study type

Study topic

Disease /health condition
Human medicinal product

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Other

If ‘other’, further details on the scope of the study

Primary scope: Comparison of adverse event risk between user of index drugs and comparator drugs.

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Name of medicine

INVOKANA
VOKANAMET

Study drug International non-proprietary name (INN) or common name

CANAGLIFLOZIN
DAPAGLIFLOZIN
METFORMIN

Anatomical Therapeutic Chemical (ATC) code

(A10BK) Sodium-glucose co-transporter 2 (SGLT2) inhibitors
Sodium-glucose co-transporter 2 (SGLT2) inhibitors

Medical condition to be studied

Diabetic ketoacidosis
Population studied

Short description of the study population

Patients with Type 2 Diabetes Mellitus treated with SGLT2 inhibitors or other antihyperglycemic agents.

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)

Special population of interest

Other

Special population of interest, other

Diabetes mellitus patients

Estimated number of subjects

60392
Study design details

Main study objective

To compare the incidence of diabetic ketoacidosis (DKA) among patients diagnosed with type 2 diabetes and pair-matched on exposure propensity scores (EPS) for new use of any SGLT2 inhibitor class versus new use of various other antihyperglycemic agents (AHAs), combined as one group.

Outcomes

First incident diabetic ketoacidosis diagnosis recorded in hospital or emergency room over the study period.

Data analysis plan

Baseline characteristics are summarized for patients treated with SGLT2i versus other AHAs. Between-group differences are assessed using Wilcoxon rank-sum tests for continuous variables and chi-squared tests for categorical variables. The standardized difference after propensity-score matching are also presented. Large scale exposure propensity score is estimated using regularized logistic regression models.The crude incidence rates of DKA in each AHA new-user cohorts are estimated as the number of first incident DKA cases divided by the total at-risk follow-up time, reported as number of cases per 1,000 person-years at risk. We use a conditional Cox proportional hazards model to estimate hazard ratio associated with SGLT2i versus other AHAs. Each propensity-score matched set is treated as a separate stratum in Cox model. P-values <0.05 is considered statistically significant, all stat. tests are two-sided. Empirical p-value calibration is conducted to address potential systemic bias