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Completed

NCT Number: NCT05465317

Evaluating Comparative Effectiveness of Empagliflozin in Type 2 Diabetes Population With and Without Chronic Kidney Disease

The primary purpose of this research study is to determine the cardiovascular and renal effectiveness and safety of empagliflozin compared to dipeptidyl peptidase-4 inhibitors (DPP4i) in patients with Type 2 Diabetes Mellitus (T2DM) with and without established kidney disease.

The secondary purpose of this research study is to determine the cardiovascular and renal effectiveness and safety of any Sodium glucose co-transporter-2 inhibitors (SGLT2i) compared to Glucagon-like Peptide-1 Receptor Agonists (GLP1RA) in patients with T2DM.

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Key information

Conditions

Diabetes Mellitus, Type 2 Diabetes Mellitus Endocrine System Diseases Glucose Metabolism Disorders Metabolic Diseases Nutritional and Metabolic Diseases

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Duke Clinical Research Institute

Durham, North Carolina, 27707, United States

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Patients ≥18 years old
  • Having a diagnosis of type 2 diabetes in 12 months before the index date (defined as the date of initiation of empagliflozin or Glucagon-like Peptide-1 Receptor Agonists (GLP1RA) or Dipeptidyl Peptidate-4 inhibitor (DPP4i), based on the cohort evaluated), based on International Classification of Diseases (ICD)-9 and -10 codes and other available data
  • Record of prescription for empagliflozin, any Sodium glucose co-transporter-2 inhibitors (SGLT2i), any DPP4 inhibitor, or any GLP1RA use between 1 January 2015 and 31 December 2020, and
  • No record of any prescription for the drugs being compared during the 12 months + 30-day grace preceding the index date period, i.e.,
  • For the primary comparison of initiation of empagliflozin versus DPP4i, patients will not have any prescription for empagliflozin/any SGLT2i or DPP4i during the preceding 12 months + 30-day grace period.
  • For the comparison of initiation of SGLT2i versus GLP1RA, patients will not have any prescription for SGLT2i or GLP1RA during the preceding 12 months + 30-day grace period.
  • For the comparison of initiation of empagliflozin versus GLP1RA, patients will not have any prescription for empagliflozin/any SGLT2i or GLP1RA during the preceding 12 months + 30-day grace period.

Exclusion criteria

  • Aged <18 years on the first prescription date of the qualifying prescription,
  • Pre-existing diagnosis of type 1 diabetes mellitus (T1DM) during the 12 months before the index date,
  • Having a disqualifying diagnosis during the 12 months before the index date, defined as having at least one of the following: estimated glomerular filtration rate (eGFR) <30, dialysis, polycystic kidney disease or a kidney transplant,
  • <12 months of available data before the index date, and/or no complete history of drug dispensations/other records of drug use during this period, defined as not having at least 1 ambulatory visit and at least 1 medication prescription during the preceding 12 months, and
  • Missing or ambiguous data on serum creatinine in the 12 months prior to the index date or sex

Treatment and study plan

Empagliflozin

Drug

Empagliflozin

Dipeptidyl Peptidate-4 inhibitors

Drug

Dipeptidyl Peptidate-4 inhibitors

Primary outcomes

  1. Incidence Rate of the Composite Outcome Including 40% Decline in Estimated Glomerular Filtration Rate (eGFR), Incident End-stage Renal Disease (ESRD) and All-cause Death

    Time frame: Starting the day after the index date (date of initiation of empagliflozin or DPP4i) and continuing until the first occurrence of the outcome of interest, or end of study date (date of death, date of study end, 2 years after index date). Up to 2 years.

    40% decline in eGFR: at least 2 measurements during follow-up of at least a 40% decline relative to baseline separated by >= 28 days. the second eGFR measurement is required to be within 2 years from index, at which time, all patients were censored.

    ESKD: at least 1 kidney transplant or ESKD diagnosis/procedure or at least 2 dialysis diagnoses/procedures separated by >= 28 days or eGFR<15 on 2 measurements separated by >= 28 days.

    Post-LASSO overlap weighting was used. A LASSO penalized regression model was created with covariates of interest, subgroup variables, and all pairwise interactions. Variables chosen by the LASSO model were refit to a logistic model in order to calculate the PS estimates. The overlap weights were then created such that the weights were equal to the PS for participants prescribed the reference treatment (DPP4i) and 1-PS for participants prescribed empagliflozin.

    Results are presented for the overall cohort and for the CKD and non-CKD cohorts.

Secondary outcomes

  1. Incidence Rate of the 40% Decline in Estimated Glomerular Filtration Rate (eGFR)

    Time frame: Starting the day after the index date (date of initiation of empagliflozin or DPP4i) and continuing until the first occurrence of the outcome of interest, or end of study date (date of death, date of study end, 2 years after index date). Up to 2 years.

    40% decline in eGFR: at least 2 measurements (second measurement must be within 2 years) during follow-up of at least a 40% decline relative to baseline separated by >= 28 days.

    Post-LASSO (least absolute shrinkage and selection operator) overlap weighting was used. A LASSO penalized regression model was created with the covariates of interest, subgroup variables, and all pairwise covariate-subgroup interactions. Outcome for this model was treatment group (DPP4i as the reference). The variables chosen by the LASSO model were refit to a logistic model in order to calculate the propensity score (PS) estimates. The overlap weights were then created such that the weights were equal to the PS for participants prescribed the reference treatment (DPP4i) and 1-PS for participants prescribed empagliflozin.

    Results are presented for the overall cohort and separately for the CKD and non-CKD cohorts.

  2. Incidence Rate of End-stage Kidney Disease (ESKD)

    Time frame: Starting the day after the index date (date of initiation of empagliflozin or DPP4i) and continuing until the first occurrence of the outcome of interest, or end of study date (date of death, date of study end, 2 years after index date). Up to 2 years.

    ESKD definition: at least 1 kidney transplant or ESKD diagnosis/procedure or at least 2 dialysis diagnoses/procedures separated by >= 28 days or eGFR<15 on 2 measurements separated by >= 28 days.

    Post-LASSO (least absolute shrinkage and selection operator) overlap weighting was used. A LASSO penalized regression model was created with the covariates of interest, subgroup variables, and all pairwise covariate-subgroup interactions. Outcome for this model was treatment group (DPP4i as the reference). The variables chosen by the LASSO model were refit to a logistic model in order to calculate the propensity score (PS) estimates. The overlap weights were then created such that the weights were equal to the PS for participants prescribed the reference treatment (DPP4i) and 1-PS for participants prescribed empagliflozin.

    Results are presented for the overall cohort and separately for the CKD and non-CKD cohorts.

  3. Incidence Rate of Dialysis

    Time frame: Starting the day after the index date (date of initiation of empagliflozin or DPP4i) and continuing until the first occurrence of the outcome of interest, or end of study date (date of death, date of study end, 2 years after index date). Up to 2 years.

    Incident dialysis, given dialysis in the 12 months preceding index date is a disqualifying diagnosis/procedure.

    Post-LASSO (least absolute shrinkage and selection operator) overlap weighting was used. A LASSO penalized regression model was created with the covariates of interest, subgroup variables, and all pairwise covariate-subgroup interactions. Outcome for this model was treatment group (DPP4i as the reference). The variables chosen by the LASSO model were refit to a logistic model in order to calculate the propensity score (PS) estimates. The overlap weights were then created such that the weights were equal to the PS for participants prescribed the reference treatment (DPP4i) and 1-PS for participants prescribed empagliflozin.

    Results are presented for the overall cohort and separately for the CKD and non-CKD cohorts.

  4. Incidence Rate of Kidney Transplant

    Time frame: Starting the day after the index date (date of initiation of empagliflozin or DPP4i) and continuing until the first occurrence of the outcome of interest, or end of study date (date of death, date of study end, 2 years after index date). Up to 2 years.

    Kidney transplant: any procedure associated with healthcare encounters, including hospitalizations and specialist outpatient and primary care encounters.

    Post-LASSO (least absolute shrinkage and selection operator) overlap weighting was used. A LASSO penalized regression model was created with the covariates of interest, subgroup variables, and all pairwise covariate-subgroup interactions. Outcome for this model was treatment group (DPP4i as the reference). The variables chosen by the LASSO model were refit to a logistic model in order to calculate the propensity score (PS) estimates. The overlap weights were then created such that the weights were equal to the PS for participants prescribed the reference treatment (DPP4i) and 1-PS for participants prescribed empagliflozin.

    Results are presented for the overall cohort and separately for the CKD and non-CKD cohorts.

  5. Incidence Rate of Composite Outcome Including Acute Hospitalization for Heart Failure and All-cause Death

    Time frame: Starting the day after the index date (date of initiation of empagliflozin or DPP4i) and continuing until the first occurrence of the outcome of interest, or end of study date (date of death, date of study end, 2 years after index date). Up to 2 years.

    Composite outcome including acute hospitalization for heart failure and All-cause death: Any diagnosis of heart failure associated with hospital admission, including inpatient and emergency department (ED) to inpatient encounters. From death records provided by sites, supplemented with linkage using Datavant Software.

    Post-LASSO overlap weighting was used. A LASSO penalized regression model was created with covariates of interest, subgroup variables, and all pairwise interactions. Variables chosen by the LASSO model were refit to a logistic model in order to calculate the PS estimates. The overlap weights were then created such that the weights were equal to the PS for participants prescribed the reference treatment (DPP4i) and 1-PS for participants prescribed empagliflozin.

    Results are presented for the overall cohort and separately for the CKD and non-CKD cohorts.

  6. Incidence Rate of Acute Hospitalization for Heart Failure

    Time frame: Starting the day after the index date (date of initiation of empagliflozin or DPP4i) and continuing until the first occurrence of the outcome of interest, or end of study date (date of death, date of study end, 2 years after index date). Up to 2 years.

    Acute hospitalization for heart failure: Any diagnosis of heart failure associated with hospital admission, including inpatient and emergency department (ED) to inpatient encounters.

    Post-LASSO (least absolute shrinkage and selection operator) overlap weighting was used. A LASSO penalized regression model was created with the covariates of interest, subgroup variables, and all pairwise covariate-subgroup interactions. Outcome for this model was treatment group (DPP4i as the reference). The variables chosen by the LASSO model were refit to a logistic model in order to calculate the propensity score (PS) estimates. The overlap weights were then created such that the weights were equal to the PS for participants prescribed the reference treatment (DPP4i) and 1-PS for participants prescribed empagliflozin.

    Results are presented for the overall cohort and separately for the CKD and non-CKD cohorts.

  7. Incidence Rate of All-cause Death

    Time frame: Starting the day after the index date (date of initiation of empagliflozin or DPP4i) and continuing until the first occurrence of the outcome of interest, or end of study date (date of death, date of study end, 2 years after index date). Up to 2 years.

    All-cause death, from death records provided by sites, supplemented with linkage using Datavant Software.

    Post-LASSO (least absolute shrinkage and selection operator) overlap weighting was used. a LASSO penalized regression model was created with the covariates of interest, subgroup variables, and all pairwise covariate-subgroup interactions. Outcome for this model was treatment group (DPP4i as the reference). The variables chosen by the LASSO model were refit to a logistic model in order to calculate the propensity score (PS) estimates. The overlap weights were then created such that the weights were equal to the PS for participants prescribed the reference treatment (DPP4i) and 1-PS for participants prescribed empagliflozin.

    Results are presented for the overall cohort and separately for the CKD and non-CKD cohorts.

  8. Incidence Rate of the Composite Outcome Including MI, Stroke, All-cause Death and Coronary Revascularization Procedure

    Time frame: Starting the day after the index date (date of initiation of empagliflozin or DPP4i) and continuing until the first occurrence of the outcome of interest, or end of study date (date of death, date of study end, 2 years after index date). Up to 2 years.

    Composite outcome including MI, Stroke, All-cause death and Coronary revascularization procedure: For MI and stroke, any inpatient diagnosis associated with healthcare encounters, including inpatient and ED to inpatient For all-cause death, death records provided by sites, supplemented with linkage using Datavant Software.

    Post-LASSO overlap weighting was used. A LASSO penalized regression model was created with covariates of interest, subgroup variables, and all pairwise interactions. Variables chosen by the LASSO model were refit to a logistic model in order to calculate the PS estimates. The overlap weights were then created such that the weights were equal to the PS for participants prescribed the reference treatment (DPP4i) and 1-PS for participants prescribed empagliflozin.

    Results are presented for the overall cohort and separately for the CKD and non-CKD cohorts.

  9. Incidence Rate of the Composite Outcome Including MI, Stroke, All-cause Death (MACE)

    Time frame: Starting the day after the index date (date of initiation of empagliflozin or DPP4i) and continuing until the first occurrence of the outcome of interest, or end of study date (date of death, date of study end, 2 years after index date). Up to 2 years.

    Composite outcome including MI, Stroke, All-cause death: For MI and stroke, any inpatient diagnosis associated with healthcare encounters, including inpatient and ED to inpatient For all-cause death, death records provided by sites, supplemented with linkage using Datavant Software.

    Post-LASSO overlap weighting was used. A LASSO penalized regression model was created with covariates of interest, subgroup variables, and all pairwise interactions. Variables chosen by the LASSO model were refit to a logistic model in order to calculate the PS estimates. The overlap weights were then created such that the weights were equal to the PS for participants prescribed the reference treatment (DPP4i) and 1-PS for participants prescribed empagliflozin.

    Results are presented for the overall cohort and separately for the CKD and non-CKD cohorts.

  10. Incidence Rate of Diabetic Ketoacidosis

    Time frame: Starting the day after the index date (date of initiation of empagliflozin or DPP4i) and continuing until the first occurrence of the outcome of interest, or end of study date (date of death, date of study end, 2 years after index date). Up to 2 years.

    Any diabetic ketoacidosis diagnosis associated with healthcare encounters in the inpatient setting.

    Post-LASSO (least absolute shrinkage and selection operator) overlap weighting was used. A LASSO penalized regression model was created with the covariates of interest, subgroup variables, and all pairwise covariate-subgroup interactions. Outcome for this model was treatment group (DPP4i as the reference). The variables chosen by the LASSO model were refit to a logistic model in order to calculate the propensity score (PS) estimates. The overlap weights were then created such that the weights were equal to the PS for participants prescribed the reference treatment (DPP4i) and 1-PS for participants prescribed empagliflozin.

    Results are presented for the overall cohort and separately for the CKD and non-CKD cohorts.

  11. Incidence Rate of Severe Hypoglycemia

    Time frame: Starting the day after the index date (date of initiation of empagliflozin or DPP4i) and continuing until the first occurrence of the outcome of interest, or end of study date (date of death, date of study end, 2 years after index date). Up to 2 years.

    Any severe hypoglycemia diagnosis associated with healthcare encounters in the inpatient or ED setting.

    Post-LASSO (least absolute shrinkage and selection operator) overlap weighting was used. A LASSO penalized regression model was created with the covariates of interest, subgroup variables, and all pairwise covariate-subgroup interactions. Outcome for this model was treatment group (DPP4i as the reference). The variables chosen by the LASSO model were refit to a logistic model in order to calculate the propensity score (PS) estimates. The overlap weights were then created such that the weights were equal to the PS for participants prescribed the reference treatment (DPP4i) and 1-PS for participants prescribed empagliflozin.

    Results are presented for the overall cohort and separately for the CKD and non-CKD cohorts.

  12. Incidence Rate of Urinary Tract Cancer

    Time frame: Starting the day after the index date (date of initiation of empagliflozin or DPP4i) and continuing until the first occurrence of the outcome of interest, or end of study date (date of death, date of study end, 2 years after index date). Up to 2 years.

    Two or more urinary tract cancer diagnoses associated with healthcare encounters within 2 months.

    Post-LASSO (least absolute shrinkage and selection operator) overlap weighting was used. A LASSO penalized regression model was created with the covariates of interest, subgroup variables, and all pairwise covariate-subgroup interactions. Outcome for this model was treatment group (DPP4i as the reference). The variables chosen by the LASSO model were refit to a logistic model in order to calculate the propensity score (PS) estimates. The overlap weights were then created such that the weights were equal to the PS for participants prescribed the reference treatment (DPP4i) and 1-PS for participants prescribed empagliflozin.

    Results are presented for the overall cohort and separately for the CKD and non-CKD cohorts.

  13. Incidence Rate of Severe Urinary Tract Infections (UTI)

    Time frame: Starting the day after the index date (date of initiation of empagliflozin or DPP4i) and continuing until the first occurrence of the outcome of interest, or end of study date (date of death, date of study end, 2 years after index date). Up to 2 years.

    Any severe Urinary Tract Infections (UTI) diagnosis associated with healthcare encounters in the inpatient or ED setting for Pyelonephritis or Urosepsis.

    Post-LASSO (least absolute shrinkage and selection operator) overlap weighting was used. A LASSO penalized regression model was created with the covariates of interest, subgroup variables, and all pairwise covariate-subgroup interactions. Outcome for this model was treatment group (DPP4i as the reference). The variables chosen by the LASSO model were refit to a logistic model in order to calculate the propensity score (PS) estimates. The overlap weights were then created such that the weights were equal to the PS for participants prescribed the reference treatment (DPP4i) and 1-PS for participants prescribed empagliflozin.

    Results are presented for the overall cohort and separately for the CKD and non-CKD cohorts.

  14. Incidence Rate of Acute Kidney Injury (AKI) That Requires Dialysis

    Time frame: Starting the day after the index date (date of initiation of empagliflozin or DPP4i) and continuing until the first occurrence of the outcome of interest, or end of study date (date of death, date of study end, 2 years after index date). Up to 2 years.

    Any Acute kidney injury diagnosis associated with inpatient healthcare encounters for AKI plus at least one inpatient encounter indicating dialysis within 28 days of the AKI encounter. Two or more dialysis encounters separated by 28 days or more was excluded from this definition.

    Post-LASSO overlap weighting was used. A LASSO penalized regression model was created with covariates of interest, subgroup variables, and all pairwise interactions. Variables chosen by the LASSO model were refit to a logistic model in order to calculate the PS estimates. The overlap weights were then created such that the weights were equal to the PS for participants prescribed the reference treatment (DPP4i) and 1-PS for participants prescribed empagliflozin.

    Results are presented for the overall cohort and separately for the CKD and non-CKD cohorts.

  15. Incidence Rate of Genital Mycotic Infection

    Time frame: Starting the day after the index date (date of initiation of empagliflozin or DPP4i) and continuing until the first occurrence of the outcome of interest, or end of study date (date of death, date of study end, 2 years after index date). Up to 2 years.

    Any genital mycotic infection diagnosis associated with healthcare encounters, including hospitalizations and outpatient encounters, or prescription for fluconazole.

    Post-LASSO (least absolute shrinkage and selection operator) overlap weighting was used. A LASSO penalized regression model was created with the covariates of interest, subgroup variables, and all pairwise covariate-subgroup interactions. Outcome for this model was treatment group (DPP4i as the reference). The variables chosen by the LASSO model were refit to a logistic model in order to calculate the propensity score (PS) estimates. The overlap weights were then created such that the weights were equal to the PS for participants prescribed the reference treatment (DPP4i) and 1-PS for participants prescribed empagliflozin.

    Results are presented for the overall cohort and separately for the CKD and non-CKD cohorts.

Sponsors and collaborators

Lead sponsor

Boehringer Ingelheim

Industry

Registry information

Official study title

Comparative Cardiovascular and Renal Effectiveness and Safety of Empagliflozin and Other SGLT2i in Patients With Type 2 Diabetes (T2D) With and Without Baseline Kidney Disease in the United States

Important dates

Study start
2022
Primary completion
2023
Study completion
2023
First posted
Jul 19, 2022
Registry last updated
Sep 19, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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