| Literature DB >> 35208256 |
Irene Caruso1, Angelo Cignarelli1, Gian Pio Sorice1, Annalisa Natalicchio1, Sebastio Perrini1, Luigi Laviola1, Francesco Giorgino1.
Abstract
Cardiovascular outcome trials (CVOT) showed that treatment with glucagon-like peptide-1 receptor agonists (GLP-1RA) is associated with significant cardiovascular benefits. However, CVOT are scarcely representative of everyday clinical practice, and real-world studies could provide clinicians with more relatable evidence. Here, literature was thoroughly searched to retrieve real-world studies investigating the cardiovascular and renal outcomes of GLP-1RA vs. other glucose-lowering drugs and carry out relevant meta-analyses thereof. Most real-world studies were conducted in populations at low cardiovascular and renal risk. Of note, real-world studies investigating cardio-renal outcomes of GLP-1RA suggested that initiation of GLP-1RA was associated with a greater benefit on composite cardiovascular outcomes, MACE (major adverse cardiovascular events), all-cause mortality, myocardial infarction, stroke, cardiovascular death, peripheral artery disease, and heart failure compared to other glucose-lowering drugs with the exception of sodium-glucose transporter-2 inhibitors (SGLT-2i). Initiation of SGLT-2i and GLP-1RA yielded similar effects on composite cardiovascular outcomes, MACE, stroke, and myocardial infarction. Conversely, GLP-1RA were less effective on heart failure prevention compared to SGLT-2i. Finally, the few real-world studies addressing renal outcomes suggested a significant benefit of GLP-1RA on estimated glomerular filtration rate (eGFR) reduction and hard renal outcomes vs. active comparators except SGLT-2i. Further real-world evidence is needed to clarify the role of GLP-1RA in cardio-renal protection among available glucose-lowering drugs.Entities:
Keywords: GLP-1 receptor agonists; MACE; SGLT-2 inhibitors; cardiovascular disease; kidney; real-world evidence; renal disease; type 2 diabetes
Year: 2022 PMID: 35208256 PMCID: PMC8879165 DOI: 10.3390/metabo12020183
Source DB: PubMed Journal: Metabolites ISSN: 2218-1989
Figure 1PRISMA flowchart: identification of eligible trials.
Summary of CV outcomes in RWS comparing patients initiating GLP-1RA vs. other GLD (SGLT-2i excluded).
| Study | N | FU (yrs) | bCVD (%) | Comparators | GLP-1RA | CV Composite Endpoint * | MACE | CV Death | All-Cause Death | Stroke | ACS/MI | PAD | HHF |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Baviera, et al., 2021 | 18,716 a; | 3.9 a; 3.7 b | 11.8–12.1 a 11.9–12.9 b | MET, SU, glinides, TZD, acarbose, | - | - | - | - |
|
| 0.94 (0.85–1.04) a
|
| 0.91 (0.82–1.01) a 0.85 (0.73–1.00) b |
| Zerovnic, et al., 2021 | 855 vs. 3817 | 2.5–3.2 | 6 | DPP-4i | 44.9%Lira, 32.6%Dula, 17.5%Exe, 4.9%Lixi | - |
| 0.62 (0.34–1.14) |
| - | - | - | 1.39 (0.88–2.21) |
| Lin, et al., 2021 | 4460 vs. 13,380 | 2.3–3.2 | 20.2 | DPP-4i | - | - |
|
|
|
|
| 0.63 (0.29–1.35) | 0.80 (0.56–1.13) |
| Pineda, et al., 2020 | 815 | 1 | 14.4–23.1 | MET, SU, glinides, TZD, acarbose, DPP-4i, insulin | - |
| - | - | - | 1.25 (0.57–2.73) | 1.29 (0.47–3.57) | - | 0.80 (0.54–1.17) |
| Yang, et al., 2020 | 1893 c, 1829 d, 1367 e | 1.5–2 | 14.9–14.7 c 14.7–17.0 d 16.5–18.1 e | DPP-4i c, SU d, insulin e | - |
|
| - | - | - | - | - | - |
| Longato, et al., 2020 | 2807 | 1.5 | 13.7–15.1 | DPP-4i | Exe, Lira, Lixi, Dula | - |
| - |
| 1.00 (0.60–1.68) |
| - | 0.69 (0.46–1.04) |
| Svanström, et al., 2019 | 23,402 | 3.3 | 81.0 | DPP-4i | Lira | - |
|
|
| 0.88 (0.77–1.01) | 0.94 (0.84–1.06) | - | 0.90 (0.80–1.03) |
| O’Brien, et al., 2018 | 11,351 vs. 28,898 | 1.3 | 5.5 | DPP-4i | - |
| - | - | - |
| 0.91 (0.67–1.24) | 0.90 (0.42–1.95) | 0.65 (0.42–1.02) |
| Toulis, et al., 2017 | 8345 vs. 16,541 | 2.6 | 21.8–20.4 | Conventional GLD | 55%Lira, | - | - | - |
| - | - | - | - |
| Patorno, et al., 2016 | 35,534 c, 28,138 d, 47,068 e | 0.5–0.8 | ~20 | DPP-4i c, SU d, insulin e | 67.1%ExeBID, 28.3%Lira, | 1.20 (0.76–1.89) c 1.05 (0.63–1.74) d 1.01 (0.73–1.41) e | - | - | - | - | - | - | - |
N, number of pairs or number of patients treated with GLP-1RA vs. comparators; FU, follow-up; bCVD, baseline cardiovascular disease (in GLP-1RA vs. comparator cohorts); CV, cardiovascular; MACE, major adverse cardiovascular events; ACS, acute coronary syndrome; MI, myocardial infarction; PAD, peripheral arterial disease; HHF, hospitalization for heart failure; MET, metformin, SU, sulphonylureas; TZD, thiazolidinediones; DPP-4i, dipeptidyl peptidase-4 inhibitors; SGLT-2i, sodium-glucose transporter-2 inhibitors; GLP-1RA, glucagon-like peptide-1 receptor agonists; Exe, exenatide; Lira, liraglutide; Lixi, lixisenatide; Dula, dulaglutide; BID, bis in die; QW, once weekly; GLD, glucose-lowering drugs. Follow-up is reported as mean or median. Statistically significant results are in bold (p < 0.05). a Lombardy cohort, b Apulia cohort; c vs. DPP-4i, d vs. SU, e vs. insulin. * The CV composite endpoint varied between studies. Pineda et al.: MI, stroke, unstable angina, or coronary revascularization; Yang et al.: MI, ischemic heart disease, HF, stroke, cardiogenic shock, sudden cardiac arrest, arteriosclerotic CV disease, or arrhythmia; O’Brien et al.: hospitalization for congestive HF, stroke, ischemic heart disease, or peripheral artery disease; Patorno et al., 2016: hospitalizations for acute MI, unstable angina, stroke, or coronary revascularization.
Figure 2Meta-analysis of the CV effects in RWS comparing GLP-1RA vs. other GLD (except SGLT-2i). (A). Effect of GLP-1RA vs. other GLD on CV composite outcome; (B). Effect of GLP-1RA vs. other GLD on MACE (CV death, non-fatal MI, or non-fatal stroke); (C). Effect of GLP-1RA vs. other GLD on all-cause death; (D). Effect of GLP-1RA vs. other GLD on HF; (E). Effect of GLP-1RA vs. other GLD on MI; (F). Effect of GLP-1RA vs. other GLD on stroke; (G). Effect of GLP-1RA vs. other GLD on CV death; (H). Effect of GLP-1RA vs. other GLD on PAD. GLP-1RA, glucagon-like peptide-1 receptor agonists; GLD, glucose-lowering drugs; SGLT-2i, sodium-glucose transporter-2 inhibitors; CV, cardiovascular; MACE, major adverse cardiovascular events; HF, heart failure; MI, myocardial infarction; PAD, peripheral arterial disease.
Figure 3Meta-analysis of the CV effects in RWS comparing GLP-1RA vs. SGLT-2i. (A). Effect of GLP-1RA vs. SGLT-2i on CV composite outcome; (B). Effect of GLP-1RA vs. SGLT-2i on MACE (CV death, non-fatal MI, or non-fatal stroke); (C). Effect of GLP-1RA vs. SGLT-2i on all-cause death; (D). Effect of GLP-1RA vs. SGLT-2i on HF; (E). Effect of GLP-1RA vs. SGLT-2i on MI; (F). Effect of GLP-1RA vs. SGLT-2i on stroke. GLP-1RA, glucagon-like peptide-1 receptor agonists; GLD, glucose-lowering drugs; SGLT-2i, sodium-glucose transporter 2 inhibitors; CV, cardiovascular; MACE, major adverse cardiovascular events; HF, heart failure; MI, myocardial infarction.
Summary of CV outcomes in RWS comparing patients initiating GLP-1RA vs. SGLT-2i.
| Study | N | FU (yrs) | bCVD(%) | Comparators | GLP-1RA | CV Composite Endpoint * | MACE | CV Death | All-Cause Death | Stroke | ACS/MI | PAD | HF |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| § Patorno, et al., 2021 | 45,047 | 0.5 | 45.2 | SGLT-2i (76.9%Cana, 13.1%Dapa, 11.1%Empa) | 58.7% Lira, 23.5% Exe, 14.8% Dula, 3.0% Albi | - | 0.98 (0.87–1.10) | 0.83 (0.64–1.07) | 0.95 (0.81–1.11) | 1.04 (0.86–1.27) | 0.98 (0.84–1.16) | - |
|
| § DeRemer, et al., 2021 | 4829 vs. 7082 | n.a. | Subgroup 1: 0 | SGLT-2i (Empa, Cana) | Exe, Lira, Albi, Dula | Subgroup 1: 1.06 (0.72–1.49) Subgroup 2: 0.67 (0.47–0.96) | - | - | - | Subgroup 1: 1.08 (0.67–1.75) Subgroup 2: 0.85 (0.50–1.70) | Subgroup 1: 1.35 (0.67–2.71) | - | Subgroup 1: 0.87 (0.47–1.61) Subgroup 2: 0.46 (0.27–0.79) |
| # Nørgaard, et al., 2021 | 8913 vs. 5275 | n.a. | n.a. | SGLT-2i | - | - | 5.6% (5.2–6.1) vs. 5.6% (4.8–6.3) | - | - | 2.5% (2.2–2.9) 2.6% (2.2–3.1) | 2.1% (1.8–2.4) vs. | - | 1.7% (1.5–2.0) vs. |
| § Patorno, et al., 2021 | Cohort 1: 133,139 | 0.6 | Cohort 1: 0 | SGLT-2i (Cana, Dapa, Empa) | Albi, Dula, Exe, Lira | Cohort 1: | - | - | Cohort 1: 1.01 (0.87–1.17) Cohort 2: 0.88 (0.79–0.99) | Cohort 1: 0.96 (0.82–1.13) | Cohort 1: 1.13 (1.00–1.28) | - | Cohort 1: 0.69 (0.56–0.85) |
| § Thomsen, et al., 2021 | 12,706 vs. 14,498 | 1.1 | 30 | SGLT-2i (Empa) | Lira | 1.02 (0.91–1.14) | - | - |
| - | - | - | 0.77 (0.49–1.20) |
| § Lugner, et al., 2021 | 9648 vs. 12,097 | 1.7–1.1 | 15.8–17.0 | SGLT-2i (56.6%Empa, 43.2% Dapa, 0.2% Cana) | 75.1% Lira, 16.3% Dula, 6.4% ExeQW | - | 1.03 (0.89–1.21) | 1.00 (0.47–2.13) | 0.78 (0.61–1.01) | 1.44 (0.99–2.08) | 0.94 (0.68–1.3) | 1.68 (1.04–2.72) | 0.83 (0.65–1.07) |
| § Longato, et al., 2020 | 8596 | 1.08 | 18 | SGLT-2i (50% Empa, 40% Dapa, 10% Cana) | 48% Dula, 34% Lira, 14% Exe, 4% Lixi | - |
| - | 0.74 (0.43–1.29) | 0.91 (0.56–1.48) |
| - |
|
| § Pineda, et al., 2020 | 947 | 1 | 12.8–12.0 | SGLT-2i | - | 1.00 (0.69–1.44) | - | - | - | 0.87 (0.38–1.97) | 1.12 (0.34–3.68) | - | 0.83 (0.53–1.30) |
N, number of pairs or number of patients treated with GLP-1RA vs. comparators; FU, follow-up; bCVD, baseline cardiovascular disease (in GLP-1RA vs. comparator cohorts); CV, cardiovascular; MACE, major adverse cardiovascular events; ACS, acute coronary syndrome; MI, myocardial infarction; PAD, peripheral arterial disease; HHF, hospitalization for heart failure; MET, metformin, SU, sulphonylureas; TZD, thiazolidinediones; DPP-4i, dipeptidyl peptidase-4 inhibitors; SGLT-2i, sodium-glucose transporter-2 inhibitors; Cana, canagliflozin; Dapa, dapagliflozin; Empa, empagliflozin; GLP-1RA, glucagon-like peptide-1 receptor agonists; Exe, exenatide; Lira, liraglutide; Lixi, lixisenatide; Dula, dulaglutide; Albi, albiglutide; BID, bis in die; QW, once weekly; GLD, glucose lowering drugs; n.a., not available. GLP-1RA vs. SGLT2i statistically significant results are in bold; SGLT-2i vs. GLP-1RA statistically significant results are underscored (p < 0.05). Follow-up is reported as mean or median. * The CV composite endpoint varied between studies. Pineda et al.: MI, stroke, unstable angina, or coronary revascularization; DeRemer et al.: stroke, MI, or HF; Patorno et al., 2021: hospitalization for ischemic or hemorrhagic stroke or MI; Thomsen et al.: stroke, MI, unstable angina, coronary revascularization, HHF, or all-cause death. § Results are presented as SGLT-2i vs. GLP-1RA as in the source manuscript. # Results are expressed as % of risk (95% CI) in GLP-1RA vs. SGLT-2i users as in the source manuscript.
Summary of renal outcomes in RWS with GLP-1RA vs. other GLD (including SGLT-2i).
| Boye et al. | Boye et al. | Lugner et al. | Pasternak et al. | ||
|---|---|---|---|---|---|
|
| N | 5932 | 2366 | 21,781 | 77,462 |
| GLP-1RA | - | Dulaglutide | 75.1% Liraglutide | 92.5% Liraglutide | |
| Comparator | Other GLD | Insulin Glargine | SGLT-2i | DPP-4i | |
| Follow-up (yrs) | 1 | 1 | 1.7–1.1 | 3.0 | |
| Mean age (yrs) | 59.2 | 59.7 | 60.5 | 59.3 | |
| Female (%) | 52.0 | 51.1 | 37.5 | 40.7 | |
| Mean diabetes duration (yrs) | - | - | 7.5 | - | |
| Mean HbA1c (%) | 8.4 | 8.3 | 8.3 | - | |
| Mean eGFR (mL/min/1.73 m2) | 82.1 | 83.7 | 91.6 | - | |
| eGFR <60 mL/min/1.73 m2 (%) | 19.4 | 18.2 | - | 4.6 | |
| Mean albuminuria (mg/L) | - | - | - | - | |
| Microalbuminuria (%) | - | - | 20.6 | - | |
| Macroalbuminuria (%) | - | - | 4.3 | - | |
|
| Change in albuminuria | - | - | - | - |
| New onset MA | - | - | 0.89 (0.77–1.04) | - | |
| Change in eGFR |
|
| - | - | |
| ≥30% eGFR reduction |
|
| 0.92 (0.68–1.25) § | - | |
| ≥40% eGFR reduction | - | - | 0.94 (0.62–1.43) | - | |
| Composite renal | - | - | 0.98 (0.92–1.05) |
| |
| Renal replacement | - | - | - |
| |
| Hospitalization for renal events (HR (95% CI)) # | - | - | - |
| |
| Renal death | - | - | - |
GLP-1RA, glucagon-like peptide-1 receptor agonists; SGLT-2i, sodium-glucose cotransporter-2; GLD, glucose lowering drugs; DPP-4i, dipeptidyl peptidase-4 inhibitors; MA, macroalbuminuria. Statistically significant results are in bold. § HR (95% CI). # Results are presented as intention-to-treat/as-treated analyses. * Lugner et al.: any of micro- or macroalbuminuria, eGFR 50% reduction or lower than 60, dialysis, renal transplantation, renal failure, renal death; Pasternak et al.: renal replacement therapy, hospitalization for renal causes and death for renal causes.