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Early Add-On Combination of GLP-1 Receptor Agonist and SGLT2 Inhibitor in People With Cardiovascular-Kidney-Metabolic Stage 2-3

Associations of Early Add-On GLP-1 Receptor Agonist and SGLT2 Inhibitor Therapy With Mortality and Kidney Outcomes in Adults With Obesity and Type 2 Diabetes Across Cardiovascular-Kidney-Metabolic Stages 2-3: A Target-Trial Emulation

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07465926
Acronym
GLP1-SGLT2-CKM
Enrollment
451036
Registered
2026-03-12
Start date
2017-01-01
Completion date
2026-01-31
Last updated
2026-06-22

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

Conditions

Cardiovascular Disease Risk Factor, Cardiovascular-kidney-metabolic Syndrome, Kidney Disease, Obesity & Overweight, Type 2 Diabetes

Keywords

GLP-1 RA, SGLT2i, Target trial emulation, TriNetX, Cardiovascular-Kidney-Metabolic Syndrome, Obesity, T2D

Brief summary

This retrospective observational target-trial emulation uses electronic health record data from the TriNetX US Collaborative Network to compare early treatment intensification strategies in adults with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3 who initiate a GLP-1 receptor agonist or an SGLT2 inhibitor. The study compares patients who, within 90 days of starting background therapy, add the alternate agent, add a DPP-4 inhibitor or sulfonylurea, or do not receive early add-on therapy. The primary outcome is all-cause mortality over 36 months, with secondary cardiorenal outcomes also evaluated. Propensity-score methods are used to reduce bias from nonrandom treatment selection.

Detailed description

This study is a retrospective observational target-trial emulation using electronic health record data from the TriNetX US Collaborative Network. It evaluates early treatment intensification strategies after initiation of a GLP-1 receptor agonist or an SGLT2 inhibitor in adults with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3. Patients are grouped according to treatment changes made within 90 days after treatment initiation, including addition of the alternate drug class, addition of a DPP-4 inhibitor or sulfonylurea, or no early add-on treatment. Follow-up is aligned across comparison groups after this initial treatment assessment period. The study uses routinely collected clinical data to assess the comparative effectiveness of these strategies on mortality and cardiorenal outcomes in real-world practice. Propensity-score-based methods are used to reduce confounding associated with nonrandom treatment selection.

Interventions

DRUGGLP-1 receptor agonist

Use of a glucagon-like peptide-1 receptor agonist as background therapy or add-on therapy in adults with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3.

DRUGSGLT2 inhibitor

Use of a sodium-glucose cotransporter-2 inhibitor as background therapy or add-on therapy in adults with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3.

Sponsors

Chung Shan Medical University
Lead SponsorOTHER
National Science and Technology Council, Taiwan
CollaboratorOTHER_GOV

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

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

Inclusion criteria

* Adults aged 20 years or older. * Obesity, defined by body mass index (BMI) 27 kg/m2 or greater. * Type 2 diabetes mellitus, defined using electronic health record data, including diagnosis codes and/or hemoglobin A1c 6.5% or greater. * Met cardiovascular-kidney-metabolic (CKM) stage 2-3 criteria at baseline. * Initiated a GLP-1 receptor agonist or an SGLT2 inhibitor as background therapy. * Had treatment strategy classification based on early add-on initiation within 90 days after background therapy initiation, or no early add-on with index at the 90-day landmark.

Exclusion criteria

* Prior use of GLP-1 receptor agonists, SGLT2 inhibitors, DPP-4 inhibitors, or sulfonylureas within 6 months before cohort entry. * Major cardiovascular disease or revascularization within 12 months before cohort entry. * Advanced kidney disease within 12 months before cohort entry, including end-stage kidney disease, dialysis, or estimated glomerular filtration rate less than 15 mL/min/1.73 m2. * Major cardiovascular or renal events within 6 months before index. * Any history of non-type 2 diabetes, HIV infection, bariatric surgery, or solid-organ transplantation. * Missing critical baseline covariates.

Design outcomes

Primary

MeasureTime frameDescription
All-cause Mortality (Comparison 1)From index through 36 monthsAll-cause mortality within 36 months in the propensity score-matched cohort for Comparison 1, comparing GLP-1 RA with SGLT2i add-on versus GLP-1 RA with DPP-4 inhibitor or sulfonylurea add-on in adults with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3.
All-cause Mortality (Comparison 2)From index through 36 monthsAll-cause mortality within 36 months in the propensity score-matched cohort for Comparison 2, comparing GLP-1 RA with SGLT2i add-on versus GLP-1 RA without early add-on treatment in adults with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3.
All-cause Mortality (Comparison 3)From index through 36 monthsAll-cause mortality within 36 months in the propensity score-matched cohort for Comparison 3, comparing SGLT2i with GLP-1 RA add-on versus SGLT2i with DPP-4 inhibitor or sulfonylurea add-on in adults with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3.
All-cause Mortality (Comparison 4)From index through 36 monthsAll-cause mortality within 36 months in the propensity score-matched cohort for Comparison 4, comparing SGLT2i with GLP-1 RA add-on versus SGLT2i without early add-on treatment in adults with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3.

Secondary

MeasureTime frameDescription
Major Adverse Cardiovascular Events (MACE) (Comparison 1)From index through 36 monthsMajor adverse cardiovascular events within 36 months in the propensity score-matched cohort for Comparison 1, comparing GLP-1 RA with SGLT2i add-on versus GLP-1 RA with DPP-4 inhibitor or sulfonylurea add-on in adults with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3.
Major Adverse Cardiovascular Events (MACE) (Comparison 2)From index through 36 monthsMajor adverse cardiovascular events within 36 months in the propensity score-matched cohort for Comparison 2, comparing GLP-1 RA with SGLT2i add-on versus GLP-1 RA without early add-on treatment in adults with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3.
Major Adverse Cardiovascular Events (MACE) (Comparison 3)From index through 36 monthsMajor adverse cardiovascular events within 36 months in the propensity score-matched cohort for Comparison 3, comparing SGLT2i with GLP-1 RA add-on versus SGLT2i with DPP-4 inhibitor or sulfonylurea add-on in adults with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3.
Major Adverse Cardiovascular Events (MACE) (Comparison 4)From index through 36 monthsMajor adverse cardiovascular events within 36 months in the propensity score-matched cohort for Comparison 4, comparing SGLT2i with GLP-1 RA add-on versus SGLT2i without early add-on treatment in adults with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3.
Major Adverse Kidney Events (MAKE) (Comparison 1)From index through 36 monthsMajor adverse kidney events within 36 months in the propensity score-matched cohort for Comparison 1, comparing GLP-1 RA with SGLT2i add-on versus GLP-1 RA with DPP-4 inhibitor or sulfonylurea add-on in adults with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3.
Major Adverse Kidney Events (MAKE) (Comparison 2)From index through 36 monthsMajor adverse kidney events within 36 months in the propensity score-matched cohort for Comparison 2, comparing GLP-1 RA with SGLT2i add-on versus GLP-1 RA without early add-on treatment in adults with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3.
Major Adverse Kidney Events (MAKE) (Comparison 3)From index through 36 monthsMajor adverse kidney events within 36 months in the propensity score-matched cohort for Comparison 3, comparing SGLT2i with GLP-1 RA add-on versus SGLT2i with DPP-4 inhibitor or sulfonylurea add-on in adults with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3.
Major Adverse Kidney Events (MAKE) (Comparison 4)From index through 36 monthsMajor adverse kidney events within 36 months in the propensity score-matched cohort for Comparison 4, comparing SGLT2i with GLP-1 RA add-on versus SGLT2i without early add-on treatment in adults with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3.

Participant flow

Recruitment details

Participants were identified retrospectively from the TriNetX US Collaborative Network electronic health record database during the prespecified study period. Eligible adults with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3 who initiated background therapy were assessed for inclusion in the study cohort.

Pre-assignment details

Eligibility criteria were applied at cohort identification. The index date (T0) was the first qualifying base-therapy prescription (GLP-1 RA or SGLT2i) after the 6-month washout; each participant was therefore assigned to a single base-therapy arm, and participants are unique across the two arms. Treatment strategies within each arm were classified by first add-on within 90 days of T0. Total Started reflects the unique number enrolled.

Baseline characteristics

Characteristic
Age, Customized
20-44 years (Comparison 1)
0 Participants
Age, Customized
20-44 years (Comparison 2)
11393 Participants
Age, Customized
20-44 years (Comparison 3)
0 Participants
Age, Customized
20-44 years (Comparison 4)
4575 Participants
Age, Customized
45-64 years (Comparison 1)
17839 Participants
Age, Customized
45-64 years (Comparison 2)
0 Participants
Age, Customized
45-64 years (Comparison 3)
0 Participants
Age, Customized
45-64 years (Comparison 4)
0 Participants
Age, Customized
65-74 years (Comparison 1)
4306 Participants
Age, Customized
65-74 years (Comparison 2)
0 Participants
Age, Customized
65-74 years (Comparison 3)
0 Participants
Age, Customized
65-74 years (Comparison 4)
0 Participants
Age, Customized
≥75 years (Comparison 1)
1499 Participants
Age, Customized
≥75 years (Comparison 2)
5444 Participants
Age, Customized
≥75 years (Comparison 3)
0 Participants
Age, Customized
≥75 years (Comparison 4)
5135 Participants
Age, Customized
Other age category (Comparison 1)
12 Participants
Age, Customized
Other age category (Comparison 2)
0 Participants
Age, Customized
Other age category (Comparison 3)
6 Participants
Age, Customized
Other age category (Comparison 4)
59 Participants
BMI ≥30 kg/m2
BMI ≥30 kg/m2 (Comparison 1)
0 Participants
BMI ≥30 kg/m2
BMI ≥30 kg/m2 (Comparison 2)
0 Participants
BMI ≥30 kg/m2
BMI ≥30 kg/m2 (Comparison 3)
0 Participants
BMI ≥30 kg/m2
BMI ≥30 kg/m2 (Comparison 4)
23009 Participants
CKD
CKD (Comparison 1)
1519 Participants
CKD
CKD (Comparison 2)
8532 Participants
CKD
CKD (Comparison 3)
2099 Participants
CKD
CKD (Comparison 4)
0 Participants
Dyslipidemia
Dyslipidemia (Comparison 1)
0 Participants
Dyslipidemia
Dyslipidemia (Comparison 2)
0 Participants
Dyslipidemia
Dyslipidemia (Comparison 3)
11676 Participants
Dyslipidemia
Dyslipidemia (Comparison 4)
0 Participants
Ethnicity (NIH/OMB)
Comparison 1
Hispanic or Latino
0 Participants
Ethnicity (NIH/OMB)
Comparison 1
Not Hispanic or Latino
0 Participants
Ethnicity (NIH/OMB)
Comparison 1
Unknown or Not Reported
0 Participants
Ethnicity (NIH/OMB)
Comparison 2
Hispanic or Latino
4505 Participants
Ethnicity (NIH/OMB)
Comparison 2
Not Hispanic or Latino
57712 Participants
Ethnicity (NIH/OMB)
Comparison 2
Unknown or Not Reported
6771 Participants
Ethnicity (NIH/OMB)
Comparison 3
Hispanic or Latino
3742 Participants
Ethnicity (NIH/OMB)
Comparison 3
Not Hispanic or Latino
0 Participants
Ethnicity (NIH/OMB)
Comparison 3
Unknown or Not Reported
0 Participants
Ethnicity (NIH/OMB)
Comparison 4
Hispanic or Latino
0 Participants
Ethnicity (NIH/OMB)
Comparison 4
Not Hispanic or Latino
50701 Participants
Ethnicity (NIH/OMB)
Comparison 4
Unknown or Not Reported
0 Participants
HbA1c ≥7%
HbA1c ≥7% (Comparison 1)
0 Participants
HbA1c ≥7%
HbA1c ≥7% (Comparison 2)
22018 Participants
HbA1c ≥7%
HbA1c ≥7% (Comparison 3)
10327 Participants
HbA1c ≥7%
HbA1c ≥7% (Comparison 4)
18758 Participants
Hypertension
Hypertension (Comparison 1)
11197 Participants
Hypertension
Hypertension (Comparison 2)
53767 Participants
Hypertension
Hypertension (Comparison 3)
0 Participants
Hypertension
Hypertension (Comparison 4)
0 Participants
Race/Ethnicity, Customized
Asian (Comparison 1)
448 Participants
Race/Ethnicity, Customized
Asian (Comparison 2)
0 Participants
Race/Ethnicity, Customized
Asian (Comparison 3)
0 Participants
Race/Ethnicity, Customized
Asian (Comparison 4)
3077 Participants
Race/Ethnicity, Customized
Black or African American (Comparison 1)
3218 Participants
Race/Ethnicity, Customized
Black or African American (Comparison 2)
0 Participants
Race/Ethnicity, Customized
Black or African American (Comparison 3)
0 Participants
Race/Ethnicity, Customized
Black or African American (Comparison 4)
0 Participants
Race/Ethnicity, Customized
Other Races (Comparison 1)
0 Participants
Race/Ethnicity, Customized
Other Races (Comparison 2)
1328 Participants
Race/Ethnicity, Customized
Other Races (Comparison 3)
0 Participants
Race/Ethnicity, Customized
Other Races (Comparison 4)
0 Participants
Race/Ethnicity, Customized
Other, Unknown, or Not Reported (Comparison 1)
0 Participants
Race/Ethnicity, Customized
Other, Unknown, or Not Reported (Comparison 2)
0 Participants
Race/Ethnicity, Customized
Other, Unknown, or Not Reported (Comparison 3)
1531 Participants
Race/Ethnicity, Customized
Other, Unknown, or Not Reported (Comparison 4)
6243 Participants
Race/Ethnicity, Customized
White (Comparison 1)
11684 Participants
Race/Ethnicity, Customized
White (Comparison 2)
53392 Participants
Race/Ethnicity, Customized
White (Comparison 3)
25895 Participants
Race/Ethnicity, Customized
White (Comparison 4)
23707 Participants
SBP ≥140 mmHg
SBP ≥140 mmHg (Comparison 1)
8065 Participants
SBP ≥140 mmHg
SBP ≥140 mmHg (Comparison 2)
35375 Participants
SBP ≥140 mmHg
SBP ≥140 mmHg (Comparison 3)
0 Participants
SBP ≥140 mmHg
SBP ≥140 mmHg (Comparison 4)
0 Participants
Sex/Gender, Customized
Female (Comparison 1)
0 Participants
Sex/Gender, Customized
Female (Comparison 2)
0 Participants
Sex/Gender, Customized
Female (Comparison 3)
0 Participants
Sex/Gender, Customized
Female (Comparison 4)
19156 Participants
Sex/Gender, Customized
Male (Comparison 1)
0 Participants
Sex/Gender, Customized
Male (Comparison 2)
19898 Participants
Sex/Gender, Customized
Male (Comparison 3)
0 Participants
Sex/Gender, Customized
Male (Comparison 4)
0 Participants
Sex/Gender, Customized
Unknown or Not Reported (Comparison 1)
37 Participants
Sex/Gender, Customized
Unknown or Not Reported (Comparison 2)
0 Participants
Sex/Gender, Customized
Unknown or Not Reported (Comparison 3)
60 Participants
Sex/Gender, Customized
Unknown or Not Reported (Comparison 4)
0 Participants
Tobacco Use
Tobacco Use (Comparison 1)
451 Participants
Tobacco Use
Tobacco Use (Comparison 2)
0 Participants
Tobacco Use
Tobacco Use (Comparison 3)
0 Participants
Tobacco Use
Tobacco Use (Comparison 4)
0 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
EG004
affected / at risk
EG005
affected / at risk
EG006
affected / at risk
EG007
affected / at risk
deaths
Total, all-cause mortality
291 / 16,864444 / 16,827674 / 39,552877 / 39,518352 / 18,850562 / 18,941593 / 34,963770 / 34,987
other
Total, other adverse events
0 / 00 / 00 / 00 / 00 / 00 / 00 / 00 / 0
serious
Total, serious adverse events
754 / 16,796983 / 16,7341,862 / 39,3922,073 / 39,243854 / 18,7711,223 / 18,8681,495 / 34,8191,727 / 34,827

Outcome results

None listed

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