ISSN: 1885-5857 Impact factor 2024 4.9
Vol. 77. Num. 7.
Pages 583-587 (July 2024)

Scientific letter
Once weekly semaglutide and cardiovascular outcomes in patients with type 2 diabetes and heart failure with reduced left ventricular ejection fraction

Semaglutida semanal y objetivos cardiovasculares en pacientes con diabetes mellitus tipo 2 e insuficiencia cardiaca con FAVI reducida

Miguel A. Pérez-VelascoaAlicia TrenasbM. Rosa Bernal-LópezacMaría D. García de LucasaRicardo Gómez-HuelgasacdLuis M. Pérez-Belmonteadef

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To the Editor,

In recent years, sodium-glucose cotransporter 2 inhibitors (SGLT2i) have demonstrated significant heart failure (HF) benefits in patients with HF with reduced ejection fraction (HFrEF) regardless of the presence of type 2 diabetes (T2D).1 Glucagon-like peptide-1 receptor agonists (GLP-1ra) have also been shown to significantly reduce hospitalizations for HF in patients with T2D in a meta-analysis of pivotal cardiovascular clinical trials, although these benefits were not achieved in each individual clinical trial.2 Furthermore, the evidence provided by observational studies is fairly limited and controversial.3

We performed a prospective, multicenter, real-world study in patients with T2D and HFrEF treated with semaglutide (Sema-Reduced-Group) and without semaglutide or another GLP-1ra (control-reduced-group) and followed up for 52 weeks between June 2019 and May 2023.

The diagnosis of HFrEF was established according to the 2021 European Society of Cardiology Guidelines.4

Data on multiple clinical variables were gathered at each evaluation.

The primary outcome was the number of HF events (a composite of emergency department visits, hospitalizations, and unscheduled outpatient visits). Secondary outcomes included the individual components of the primary outcome, cardiovascular death, all-cause death, all-cause hospitalizations, new or worsening nephropathy, and ≥ 5-point difference in the Kansas City Cardiomyopathy Questionnaire (KCCQ) total symptom score change from baseline to 52 weeks of follow-up.

To match each patient in each group in a 1:1 manner, we used propensity score matching (PSM). The adequacy of the PSM was assessed using the standardized difference (a significant imbalance was considered with a standardized difference >10% between baseline variables). The probability of starting semaglutide was estimated using a logistic regression model. The Pearson correlation coefficient was calculated to estimate linear correlations. To evaluate the association between treatment and study outcomes, mixed effect logistic regressions were used and adjusted for confounding variables.

A total of 202 patients were included in the sema-reduced-group, and 162 patients in the control-reduced-group. After PSM, 122 patients were included in each group. At 52 weeks, 104 patients (85.2%) had received 1.00mg of once weekly semaglutide. Baseline characteristics are shown in table 1.

Table 1.

Sociodemographic, clinical, and therapeutic characteristics at baseline: pre- and postpropensity score matching analysis

  Prepropensity score matching analysisPostpropensity score matching analysis
Variables  Sema-reduced-group (n=202)  Control-reduced-group (n=162)  Standardized difference  P  Sema-reduced-group (n=122)  Control-reduced-group (n=122)  Standardized difference  P 
Sociodemographic characteristics
Age, y  70.4±10.2  72.1±11.0  .055  .181  70.7±10.4  72.0±11.0  0.051  .188 
Male sex  106 (52.5%)  88 (54.3%)  .077  .169  65 (53.3%)  66 (54.1%)  0.082  .196 
Anthropometric characteristics
Body weight, kg  92.6±17.0  85.2±15.2  .112  .031  91.0±16.4  87.9±15.9  0.083  .078 
Body Mass Index, kg/m2  32.1±5.5  28.8±5.3  .107  .044  31.5±5.2  29.6±5.0  0.079  .101 
Obesity, body mass index ≥ 30  202 (100.0%)  108 (66.7%)  .119  .018  122 (100.0%)  105 (86.1%)  0.089  .070 
Waist circumference, cm  127.4±17.2  119.1±15.9  .120  .013  124.5±17.0  120.4±16.1  0.072  .099 
SBP, mmHg  127.5±11.4  123.2±10.4  .085  .106  126.5±11.2  124.8±10.8  0.078  .122 
DBP, mmHg  72.0±10.2  70.0±9.7  .019  .204  72.0±10.2  71.1±9.9  0.017  .235 
Heart rate, bpm  71.0±10.5  69.5±10.0  .022  .198  70.8±10.2  69.8±10.0  0.020  .201 
Diabetes characteristics
Diabetes duration, y  12.1±7.0  10.8±6.1  .090  .105  11.8±6.8  11.0±6.2  0.072  .185 
Patients with HbA1c <7%  15 (7.4%)  40 (25.0%)  .131  .009  14 (11.5%)  22 (18.0%)  0.081  .079 
Diabetes therapy      .088  .098      0.072  .111 
Metformin  115 (56.9%)  97 (60.0%)      70 (57.4%)  73 (59.8%)     
Sulfonylurea  4 (2.0%)  6 (3.7%)      3 (2.5%)  4 (3.3%)     
DPP-4 inhibitor  79 (39.1%)  70 (43.2%)      49 (40.2%)  51 (41.8%)     
GLP-1 receptor agonist, no semaglutide  52 (25.7%)      31 (25.4%)     
SGLT-2 inhibitor  122 (60.4%)  91 (56.2%)      71 (58.2%)  69 (56.6%)     
Baseline insulin  75 (37.1%)  54 (33.3%)      43 (35.2%)  41 (33.6%)     
Baseline insulin dose, units/d  17.0±14.4  16.0±14.1      17.0±14.2  16.2±14.1     
Insulin combinations  15 (7.4%)  14 (8.6%)      10 (8.2%)  10 (8.2%)     
Statins  184 (91.1%)  146 (90.1%)  .030  .231  111 (91.0%)  111 (91.0%)  0.012  .254 
Heart failure characteristics
Heart failure duration, y  7.2±3.3  7.5±3.5  .039  .138  7.3±3.4  7.4±3.5  0.022  .189 
Principal cause of heart failure      .059  .147      0.028  .184 
Ischemic  171 (84.7%)  130 (80.2%)      102 (83.6%)  100 (82.0%)     
Nonischemic  31 (15.3%)  32 (19.8%)      20 (16.4%)  22 (18.0%)     
KCCQ total symptom score  63.7±24.5  64.1±24.6  .028  .255  63.9±24.6  64.0±24.6  0.011  .286 
NYHA functional class      .051  .162      0.005  .302 
       
II  132 (65.3%)  107 (66.0%)      80 (65.6%)  80 (65.6%)     
III  70 (34.7%)  55 (34.0%)      42 (34.4%)  42 (34.4%)     
Left ventricular ejection fraction, %  37.0±7.2  38.2±8.5  .041  .212  37.5±7.3  38.0±8.4  0.018  .296 
Heart failure medication      .061  .137      0.052  .151 
Diuretic  171 (84.7%)  136 (84.0%)      103 (84.4%)  103 (84.4%)     
ACE inhibitor  20 (9.9%)  20 (12.3%)      13 (10.7%)  14 (11.5%)     
ARB  66 (32.7%)  51 (31.5%)      39 (32.0%)  39 (32.0%)     
Sacubitril-valsartan  101 (50.0%)  82 (50.6%)      61 (50.0%)  61 (50.0%)     
Beta-blocker  174 (86.1%)  145 (89.5%)      106 (86.9%)  108 (88.5%)     
Ivabradin  67 (33.2%)  51 (31.5%)      39 (32.0%)  39 (32.0%)     
Mineralocorticoid receptor antagonist  112 (55.4%)  94 (58.0%)      103 (84.4%)  103 (84.4%)     
Digitalis  30 (14.9%)  27 (16.7%)      19 (15.6%)  20 (16.4%)     
Anticoagulant  96 (47.5%)  75 (46.3%)      57 (46.7%)  57 (46.7%)     
Previous medical history
History of smoking  116 (57.4%)  86 (53.1%)  .057  .141  68 (55.7%)  66 (54.1%)  0.041  .159 
History of alcohol abuse  21 (10.4%)  16 (9.9%)  .036  .195  12 (9.8%)  12 (9.8%)  0.019  .285 
Hypertension  194 (96.0%)  155 (95.7%)  .045  .173  117 (95.9%)  117 (95.9%)  0.008  .311 
Dyslipidemia  196 (97.0%)  146 (90.1%)  .039  .258  115 (94.3%)  111 (91.0%)  0.027  .262 
Chronic kidney disease stage ≥3  111 (55.0%)  98 (60.5%)  .059  .156  69 (56.6%)  72 (59.0%)  0.041  .172 
Cerebrovascular disease  32 (15.8%)  17 (10.5%)  .062  .124  17 (13.9%)  14 (11.5%)  0.051  .147 
Chronic obstructive pulmonary disease  60 (29.7%)  38 (23.5%)  .041  .202  34 (27.9%)  31 (25.4%)  0.038  .211 
Atrial fibrillation  88 (43.6%)  78 (48.1%)  .040  .185  54 (44.3%)  57 (46.7%)  0.039  .193 
Laboratory variables
Glucose, mg/dL  147.5±40.2  140.0±36.5  .089  .087  144.2±40.0  141.3±37.7  0.073  .102 
HbA1c, %  7.5±1.2  7.0±1.0  .109  .044  7.4±1.2  7.2±1.1  0.078  .112 
Creatinine, mg/dL  1.1±0.6  1.1±0.7  .022  .214  1.1±0.6  1.1±0.7  0.021  .219 
EGFR, mL/min/1.73 m2  52.9±22.0  56.4±23.0  .038  .161  53.5±22.3  55.1±22.8  0.040  .179 
Uric acid, mg/dL  6.6±4.6  6.1±4.5  .035  .180  6.4±4.5  6.2±4.5  0.021  .217 
Hematocrit, %  42.8±6.1  41.0±5.3  .030  .171  42.2±6.1  41.5±5.4  0.028  .182 
NT-proBNP, pg/mL  1152.8±646.2  910.0±589.2  .057  .141  1050.5±636.0  922.5±599.0  0.042  .167 
LDL-C, mg/dL  65.0±21.3  70.3±25.2  .059  .150  67.0±21.3  69.5±24.6  0.039  .175 
HDL-C, mg/dL  43.5±9.9  39.8±9.4  .038  .177  41.5±9.5  39.9±9.4  0.037  .179 
Total cholesterol, mg/dL  143.5±36.2  151.7±40.7  .062  .138  148.9±37.7  150.5±40.2  0.053  .158 
Triglycerides, mg/dL  150.0±52.0  161.0±55.5  .071  .122  155.4±53.0  159.0±55.0  0.070  .129 
Urinary albumin/creatinine ratio, mg/g  50.0±42.0  45.1±40.0  .070  .133  49.4±41.4  47.5±40.5  0.061  .145 

Continuous data are shown as means±standard deviation and qualitative data as No. (%). The differences between groups were determined using the 2-sample Student t-test or the Mann-Whitney-Wilcoxon rank-sum test for continuous variables and Pearson's chi-square for categorical variables.

ACE, angiotensin-converting enzyme; ARB, angiotensin receptor blocker; DBP, diastolic blood pressure; DPP4, dipeptidyl peptidase-4; EGFR, estimated glomerular filtration rate; GLP-1, glucagon-like peptide-1; HbA1c, glycated hemoglobin; HDL-C, high-density lipoprotein cholesterol; HF, heart failure; KCCQ, Kansas City Cardiomyopathy Questionnaire; LDL-C, low-density lipoprotein cholesterol; NT-proBNP, N-terminal pro-B-type natriuretic peptide; NYHA, New York Heart Association; SBP, systolic blood pressure; SGLT-2, sodium-glucose cotransporter 2.

Once weekly semaglutide was associated with reductions in HF events and their individual components. Furthermore, cardiovascular death and all-cause hospitalizations decreased significantly. Last, patients in the sema-reduced-group were more likely to have a ≥ 5-point difference on the KCCQ score change (improving 18.7±3.2 vs 8.2±1.7 points (P<.01) compared with the control-reduced-group. Outcomes results are shown in table 2.

Table 2.

Primary and secondary outcomes

Outcomes  Sema-reduced-group (n=122)  Control-reduced-group (n=122)  Mixed effect logistic regression
      OR (95%CI)  P 
Heart failure event  30 (24.6)  45 (36.9)  0.82 (0.61-0.99)  .009 
Emergency department visits due to heart failure decompensation  21 (17.2)  33 (27.0)  0.85 (0.68-0.99)  .028 
Hospitalization due to heart failure  17 (13.9)  29 (23.8)  0.84 (0.69-0.99)  .020 
Unplanned outpatient visits  21 (17.2)  34 (27.9)  0.87 (0.69-0.99)  .042 
Cardiovascular death  13 (10.7)  27 (22.1)  0.89 (0.70-0.99)  .044 
All-cause death  19 (15.6)  29 (23.8)  0.93 (0.86-1.19)  .093 
All-cause hospitalizations  25 (20.5)  39 (31.9)  0.86 (0.63-0.99)  .014 
New or worsening nephropathy*  4 (3.3)  8 (6.6)  0.94 (0.67-1.12)  .082 
5-point difference in the KCCQ change (from baseline to 52 weeks)  50 (41.0)  16 (13.1)  2.38 (1.24-5.20)  <.01 

Data are shown as No. (%). To evaluate the association between treatment and study outcomes, mixed effect logistic regressions were used. The regression analysis values are expressed as odds ratio and 95% confidence interval. Values were considered statistically significant if P<.05.

95%CI, 95% confidence interval; KCCQ, Kansas City Cardiomyopathy Questionnaire; OR, odds ratio.

*

Defined by persistent macroalbuminuria, persistent doubling of the serum creatinine level and a creatinine clearance of <45mL/min/1.73 m2, or the need for continuous renal replacement therapy.

Patients treated with semaglutide had a larger reduction in HbA1c (0.9±0.2 vs 0.3±0.1%, P=.011) and body weight (11.8±3.8 vs 2.5±1.1kg, P<.01) than those in the control-reduced-group. There were negative correlations between the KCCQ score and HbA1c (r=0.532, P<.009) and body weight (r=–0.649, P<.01).

Regarding safety, fewer serious adverse events occurred among patients who received semaglutide (24.6%). Adverse events were mostly gastrointestinal, and 11 patients (9.0%) discontinued the drug.

While SGLT2i have shown benefits in HF outcomes in patients with HF with and without T2D, GLP-1ra have not been strongly associated with reductions in HF hospitalizations.2 The evidence from observational studies is fairly limited and controversial, being associated with neutral effects in some studies and beneficial effects, namely a reduction in HF hospitalizations, in other studies.3 Recently, once weekly semaglutide has been associated with cardiovascular and HF benefits in overweight/obese patients with pre-existing cardiovascular disease,5 and HF with preserved ejection fraction.6 The HF benefits of GLP-1ra could be achieved through multiple interrelated mechanism such as the direct effects on endothelium, cardiac tissue, renin-angiotensin system, and cardiometabolic risk factors.3,5

The above-mentioned benefits on HF outcomes found in several studies (some including patients with HFrEF with coronary artery and cerebrovascular diseases) are consistent with our results. The implementation of structured treatment programs including the use of GLP-1ra in combination with improvements in the quality of diet and exercise to achieve long-term body weight loss and an increase in lean mass could be established as an important goal in the management of patients with T2D, overweight/obesity, and HFrEF.

Although these findings provide valuable information, they should be considered within the context of potential limitations such as the possibility of unmeasured confounding factors, the relatively low number of some outcomes, and the influence of changes in HF treatment and general recommendations made during the follow-up.

In conclusion, in this observational study and after a PSM, once weekly semaglutide was associated with a reduction in HF events, cardiovascular death, and all-cause hospitalizations in patients with T2D and HFrEF. Furthermore, patients treated with semaglutide were more likely to have a ≥ 5-point difference on the KCCQ total symptom score from baseline to 52 weeks. Further research is needed on GLP-1ra in HFrEF.

FUNDING

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

ETHICAL CONSIDERATIONS

The study was approved by the Institutional Research Ethics Committee of Málaga (Ethics Committee code: REDIME-27-10-2016) and written informed consent for the consultation of medical records was obtained from all participants. This study was conducted in accordance with the Declaration of Helsinki. Data confidentiality and patient anonymity were rigorously maintained during the performance of the study.

Gender disaggregation was not performed based on the outcomes of this study.

STATEMENT ON THE USE OF ARTIFICIAL INTELLIGENCE

No artificial intelligence was used in the preparation of this article.

AUTHORS’ CONTRIBUTIONS

M.A. Pérez-Velasco: analysis and interpretation of data and manuscript preparation. A. Trenas: analysis and interpretation of data and manuscript preparation. M.R. Bernal-López: analysis and interpretation of data and manuscript preparation. M.D. García de Lucas: analysis and interpretation of data and manuscript preparation. R. Gómez-Huelgas: concept and design, analysis and interpretation of data, and manuscript preparation. L.M. Pérez-Belmonte: concept and design, acquisition of participants and data, analysis and interpretation of data, and manuscript preparation. All authors have participated in drafting the manuscript and have read and approved the final version of the manuscript. M.A. Pérez-Velasco and A. Trenas contributed equally to this work and share first authorship.

CONFLICTS OF INTEREST

None.

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A.M. Lincoff, K. Brown-Frandsen, H.M. Colhoun, et al.
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Miguel A. Pérez-Velasco and Alicia Trenas contributed equally to this work and share first authorship.

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