What this is
- This research investigates the impact of sodium-glucose cotransporter 2 inhibitors (SGLT2i) on cardiovascular outcomes in type 2 diabetes (T2D) patients with acute coronary syndrome (ACS).
- Data from 925 T2D patients hospitalized for ACS were analyzed, focusing on major adverse cardiovascular events () over a one-year follow-up.
- The study employs propensity score matching to minimize confounding factors and enhance the reliability of the findings.
Essence
- SGLT2i use in T2D patients with ACS correlates with a 34.1% reduction in the risk of major adverse cardiovascular events (). This benefit is primarily due to lower rates of cardiovascular death and heart failure readmissions.
Key takeaways
- SGLT2i use increased from 9.9% in 2019 to 43.8% in 2022 among T2D patients with ACS. This trend indicates growing acceptance of SGLT2i in clinical practice.
- In the matched cohort, 24.3% of patients experienced , with significantly lower rates in the SGLT2i group compared to the SGLT2i-free group, highlighting the protective cardiovascular benefits of SGLT2i.
- The study found a 34.1% lower risk of associated with SGLT2i use, driven by a 12.0% reduction in cardiovascular death and a 45.5% reduction in heart failure readmissions.
Caveats
- The study is retrospective and conducted at a single center, which may limit the generalizability of the findings. Larger, multi-center prospective studies are needed to confirm these results.
- Potential confounding factors were addressed using propensity score matching, but residual confounding cannot be entirely ruled out due to the observational nature of the study.
Definitions
- SGLT2 inhibitors: Medications that lower blood sugar by increasing glucose excretion in urine, with additional cardiovascular benefits.
- MACE: Major adverse cardiovascular events, including cardiovascular death, non-fatal myocardial infarction, stroke, and heart failure readmission.
AI simplified
Background
With its gradually rising incidence, diabetes has become one of the major causes of morbidity and mortality worldwide. An estimate shows that the global diabetes prevalence is expected to increase to 10.2% (578 million) by 2030 and 10.9% (700 million) by 2045 [1]. Type 2 diabetes (T2D), the most common diabetes, accounts for approximately 90% of the total patients and various factors can contribute to its rising trend, for example, ageing, obesogenic environment and urbanization. Cardiovascular disease (CVD) has become one of the primary comorbidities of T2D, and accounts for at least 50% of deaths in T2D patients [2, 3]. Acute coronary syndrome (ACS), the most severe type of CVD, includes ST-elevation myocardial infarction (STEMI), non-ST-elevation myocardial infarction (NSTEMI) and unstable angina (UA). People with T2D were reported to have three-fold greater odds to develop ACS [4]. Moreover, ACS mortality for T2D patients were four times higher in male and seven times higher in female population [5]. Meanwhile, tight glycemic control in ACS has been observed to play a cardioprotective effect by various mechanisms including anti-inflammatory and anti-apoptotic activities, anti-oxidative stress, and endothelium protection [6]. Intriguingly, novel antidiabetic agents, for example, sodium-glucose cotransporter 2 inhibitors (SGLT2i), demonstrated a significant improvement in the cardiovascular (CV) outcomes in high-risk subjects without the risk of hypoglycemia, might exert this cardioprotective effect even in acute conditions such as ACS [7]
SGLT2i are oral glucose-lowering agents which can significantly increase the excretion of urinary glucose via inhibiting SGLT2 in the renal proximal tubules [8]. Beyond glycemic control effects, several large cardiovascular outcome trials (CVOTs) have revealed their significant CV benefits, including a decreased risk of CV death and rehospitalization for heart failure [9–11]. Based on these consistent data, both American Diabetes Association (ADA) guidelines and European Association for the Study of Diabetes (EASD) guidelines recommend the use of SGLT2i in T2D patients with established atherosclerotic cardiovascular disease (ASCVD) or with very high or high CV risk [12, 13]. However, all the current CVOTs of SGLT2i excluded patients experiencing ACS within 14 days before enrollment. Therefore, there was still a lack of data on the CV effect of SGLT2i in T2D patients with new onset of ACS. Our current study aimed to utilize real world data to explore whether SGLT2i could improve CV clinical outcomes in T2D patients with ACS.
Materials
Study design and participants
This study was a single-center retrospective study. Data of T2D patients who underwent coronary angiography for ACS at the Cardiology Department of the Civil Aviation General Hospital, were collected from January 2019 to December 2022. Inclusion criteria were as follows: (1) age ≥ 18 years; (2) hospitalized for ACS, including STEMI, NSTEMI, or UA. STEMI diagnosis was defined per 2019 Chinese Society of Cardiology guidelines for the diagnosis and management of patients with STEMI [14], while diagnosis of NSTEMI and UA were based on 2016 Guidelines and consensus for the management of patients with non-ST-elevation ACS [15]; and (3) T2D patients diagnosed based on ADA guidelines (2020 edition) [16]. Exclusion criteria were (1) previous use of SGLT2i; (2) cardiogenic shock; (3) severe heart failure (Killip class ≥ III); (4) malignant ventricular arrhythmias; (5) severe hepatic dysfunction (serum alanine transaminase levels exceeding 3 times the upper normal limit) or renal dysfunction (serum creatinine surpassing 221 μmol/l or estimated glomerular filtration rate (eGFR) less than 30 ml/min/1.73 m2); (6) perioperative cardiopulmonary resuscitation; and (7) malignant tumors. The study got approval by the Ethics Committee of the Civil Aviation General Hospital (2022⁃L-K⁃33) and was conducted in accordance with Declaration of Helsinki guidelines. Patient informed consent was waived as part of the study approval.
Based on the electronic medical records, we collected clinical, laboratory, and clinical outcome data for all participants. Patients’ clinical baseline demographic data included age, gender, height, weight, blood pressure, heart rate, smoking, diabetes duration, hyperlipidemia, hypertension, chronic heart failure, valvular heart disease, and in-hospital medication. Prior to study procedures, laboratory indices, including cardiac troponin I (cTnI), glycated hemoglobin (HbA1c), high-sensitivity C-reactive protein (hs-CRP), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides (TG), total cholesterol (TC), B-type natriuretic peptide (BNP), and eGFR, were recorded. Antidiabetic agents, including SGLT2i, glucagon-like peptide-1 receptor agonists (GLP-1RAs), metformin, DPP-4 inhibitors and insulin, were documented.
SGLT2i exposure
According to the exposure of SGLT2i, patients were divided into the SGLT2i-free group and the SGLT2i group. The SGLT2i group consisted of patients receiving initial administration of SGLT2i during ACS hospitalization and the follow-up period. SGLT2i-free users were defined as the subjects who were SGLT2i nonusers. Medication history of patients included was obtained from prescriptions in the electronic medical record.
CV clinical outcomes
Time to first major adverse cardiovascular events (MACE) within 1 year after discharge and its individual components were assessed in the study. MACE was defined as the composite of CV death, all cause death, non-fatal myocardial infarction or stroke, coronary revascularization or heart failure readmission. To ascertain the occurrence of MACE, electronic medical records, including clinic visits and telephone interviews, were comprehensively reviewed.
Statistical analyses
Continuous data were described as means ± standard deviations or medians (interquartile range) based on the normality of the distribution, which was determined based on the Kolmogorov–Smirnov test. Categorical variables were presented using frequencies and percentages, and differences between groups were analyzed using chi-square tests or Fisher’s exact tests.
Propensity score-matched (PSM) analysis was developed to reduce confounding biases in observational studies. A 1-to-1 match was established using PSM analysis with a caliper width of 0.20. Propensity scores were generated to estimate the likelihood of SGLT2i use, based on multivariable logistic regression models. Age, gender, BMI, smoking, T2D duration, comorbidities including hypertension, hyperlipidemia, and chronic heart failure, the use of antidiabetic medications such as insulin and GLP-1RAs, ACS type, PCI and extent of coronary artery disease, were included as the factors for matching. Absolute standardized differences were computed for all baseline characteristics. A standardized difference of 10% was considered to achieve balance and indicate comparability between groups.
Cumulative event rates over time were obtained by the Kaplan–Meier method and the differences between groups were assessed by log-rank test. Cox proportional hazard analysis was conducted to estimate the hazard ratio with 95% confidence intervals for various endpoint events. Notably, subgroup analyses were performed by including subgroup as a fixed factor to evaluate the interaction between subgroup and SGLT2i use. Statistical significance was considered as a two-tailed p-value < 0.05. The statistical analyses were carried out using R software (version 4.3.2).
Results
Baseline characteristics of the full cohort
From January 2019 to December 2022, 1152 T2D patients admitted to Civil Aviation General Hospital for ACS were retrospectively considered for participation in our study. After 1 year follow-up, a total of 925 patients were finally enrolled in our study, whereas 202 patients were excluded based on the criteria and 25 patients were lost to follow up (Fig. 1). Among the SGLT2i patients, 9.9% out of 322 patients were enrolled in the year 2019, 16.8% in the year 2020, 29.5% in the year 2021 and 43.8% in the year 2022, which indicated an increasing SGLT2i use trend in the full cohort (Fig. 2).
Of the 925 patients, 650 (70.3%) patients had a history of hypertension, 452 (48.9%) had hyperlipidemia, and 393 (42.5%) had chronic heart failure and 21 (2.3%) patients were combined with valvular heart disease. The average age was 62.3 years with an average body mass index (BMI) of 28.3 kg/m2, 61.4% were males, and the average HbA1c was 7.48%. Baseline characteristics of the two groups were summarized in Table 1. Compared with those in the SGLT2i-free group, patients in the SGLT2i group demonstrated to be with older ages, bigger BMI, higher levels of hs-CRP and BNP, and the proportion of men was higher. Regarding the use of other medications including antidiabetic agents, there was no significant difference, except β-blockers and GLP-1RAs, between the two groups.
Study flowchart to illustrate the study selection and follow-up. T2D, type 2 diabetes; ACS, acute coronary syndrome
Patients enrollment per year
| Variables | Full cohort | PSM cohort | ||||
|---|---|---|---|---|---|---|
| SGLT2i Group(n = 322) | SGLT2i-free Group(n = 603) | valueP | SGLT2i Group(n = 226) | SGLT2i-free Group(n = 226) | valueP | |
| Age (years) | 63.5 ± 9.8 | 61.7 ± 12.6 | 0.03 | 62.9 ± 10.8 | 62.1 ± 11.7 | 0.45 |
| Male, n (%) | 212 (65.8) | 350 (58) | 0.02 | 143 (63.3) | 129 (57.1) | 0.18 |
| Current smoking, n (%) | 109 (33.9) | 210 (34.8) | 0.77 | 86 (38.1) | 76 (33.6) | 0.33 |
| BMI (kg/m)2 | 28.9 ± 7.8 | 27.3 ± 6.3 | <0.001 | 28.9 ± 7.5 | 27.8 ± 7.3 | 0.11 |
| Diabetes Duration (years) | 8.65 ± 2.56 | 8.31 ± 2.78 | 0.07 | 8.59 ± 2.81 | 8.21 ± 2.75 | 0.15 |
| Other comorbidities, n (%) | ||||||
| Hypertension | 218 (67.7) | 432 (71.6) | 0.21 | 165 (73) | 150 (66.4) | 0.12 |
| Hyperlipidemia | 162 (50.3) | 290 (48.1) | 0.52 | 114 (50.4) | 110 (48.7) | 0.71 |
| Chronic heart failure | 127 (39.4) | 266 (44.1) | 0.17 | 86 (38.1) | 97 (42.9) | 0.29 |
| Valvular heart disease | 8 (2.5) | 13 (2.2) | 0.75 | 6 (2.7) | 5 (2.2) | 0.76 |
| Laboratory variables | ||||||
| Hemoglobin (g/L) | 131.7 ± 39.6 | 135.6 ± 38.9 | 0.15 | 132.1 ± 40.7 | 134.9 ± 39.1 | 0.46 |
| HbA1c (%) | 7.65 ± 2.85 | 7.39 ± 3.73 | 0.28 | 7.5 ± 3.12 | 7.3 ± 3.81 | 0.41 |
| hs-CRP (mg/L) | 2.67 ± 0.63 | 2.57 ± 0.56 | 0.01 | 2.71 ± 0.65 | 2.61 ± 0.66 | 0.11 |
| FPG (mmol/L) | 8.8 ± 2.25 | 8.6 ± 2.73 | 0.29 | 8.82 ± 2.12 | 8.59 ± 2.63 | 0.31 |
| TC (mmol/L) | 4.22 ± 1.15 | 4.09 ± 1.21 | 0.11 | 4.32 ± 1.31 | 4.15 ± 1.22 | 0.15 |
| LDL (mmol/L) | 2.59 ± 1.32 | 2.73 ± 1.21 | 0.1 | 2.65 ± 1.32 | 2.73 ± 1.11 | 0.49 |
| Peak cTnI (ug/L) | 39.6 (16.7, 59.8) | 33.6 (15.8, 56.9) | 0.13 | 36.9 (18.5, 53.9) | 35.9 (20.9, 51.8) | 0.16 |
| BNP (ug/L) | 89.8 ± 37.9 | 83.9 ± 40.8 | 0.03 | 88.7 ± 38.1 | 85.6 ± 39.9 | 0.4 |
| SCr (umol/L) | 105.5 ± 26.9 | 108.6 ± 22.7 | 0.06 | 106.7 ± 25.8 | 108.5 ± 23.5 | 0.44 |
| eGFR (ml/min/1.73 m)2 | 69.8 ± 22.8 | 67.3 ± 23.4 | 0.12 | 69.5 ± 22.7 | 67.1 ± 23.3 | 0.27 |
| Left ventricular ejection fraction (%) | 51.2 ± 13.3 | 52.7 ± 13.9 | 0.11 | 51.6 ± 12.6 | 52.1 ± 13.8 | 0.69 |
| ACS Type, n (%) | 0.16 | 0.72 | ||||
| STEMI | 139 (43.2) | 291 (48.3) | 104 (46.0) | 110 (48.7) | ||
| NSTEMI | 108 (33.5) | 201 (33.3) | 68 (30.1) | 69 (30.5) | ||
| UA | 75 (23.3) | 111 (18.4) | 54 (23.9) | 47 (20.8) | ||
| Medications | ||||||
| Metformin | 215 (66.8) | 432 (71.6) | 0.12 | 163 (72.1) | 175 (77.4) | 0.19 |
| Insulin | 172 (53.4) | 359 (59.5) | 0.07 | 119 (52.7) | 123 (54.4) | 0.71 |
| ACEI/ARB | 182 (56.5) | 376 (62.4) | 0.08 | 121 (53.5) | 129 (57.1) | 0.45 |
| Calcium channel blockers | 106 (32.9) | 229 (38) | 0.13 | 75 (33.2) | 80 (35.4) | 0.62 |
| β-Blockers | 182 (56.5) | 390 (64.7) | 0.02 | 123 (54.4) | 132 (58.4) | 0.39 |
| Statins | 315 (97.8) | 588 (97.5) | 0.77 | 215 (95.1) | 219 (96.9) | 0.34 |
| GLP-1RAs | 40 (12.4) | 118 (19.6) | 0.01 | 25 (11.1) | 39 (17.3) | 0.06 |
| Aspirin | 322 (100) | 603 (100) | / | 226 (100) | 226 (100) | / |
| P2Y12 inhibitors | 0.12 | 0.45 | ||||
| Ticagrelor | 178 (55.3) | 301 (49.9) | 115 (50.9) | 123 (54.4) | ||
| Clopidogrel | 144 (44.7) | 302 (50.1) | 111 (49.1) | 103 (45.6) | ||
| Procedure characteristics | ||||||
| PCI, n (%) | 258 (80.1) | 492 (81.6) | 0.59 | 186 (82.3) | 181 (80.1) | 0.55 |
| Extent of CAD, n (%) | 0.13 | 0.12 | ||||
| Any left main disease | 9 (2.8) | 12 (2.0) | 6 (2.7) | 8 (3.5) | ||
| 1-vessel disease | 48 (14.9) | 98 (16.3) | 18 (8.0) | 29 (12.8) | ||
| 2-vessel disease | 130 (40.4) | 201 (33.3) | 81 (35.8) | 91 (40.3) | ||
| ≥3-vessel disease | 135 (41.9) | 292 (48.4) | 121 (53.5) | 98 (43.4) | ||
Baseline characteristics of the PSM cohort
To minimize confounding bias with respect to baseline characteristics, we identified 226 SGLT2i users who were ultimately matched with 226 SGLT2i-free users using 1-to-1 matching. Of the 452 patients, 315 (69.7%) had a history of hypertension, 224 patients (49.6%) had hyperlipidemia, and 183 (40.5%) had chronic heart failure. The mean age was 62.5 years with an average BMI of 28.4 kg/m2, 60.2% were males, and the average HbA1c was 7.40%. Comparison results summarized in Table 1 showed a similar distribution of baseline characteristics between the two groups. In addition, the absolute standardized differences were < 10%, which exhibited the balance between the two groups was appropriate.
CV clinical outcomes
During 1 year follow-up period, a total of 110 patients experienced MACE in the matched cohort, with a rate of 24.3%. MACE were reported in 41 out of 226 patients in the SGLT2i group and 69 patients in the SGLT2i-free group (HR 0.545, 95% CI 0.370–0.803, P = 0.001) (Fig. 3A). CV death was documented in 1 patient in the SGLT2i group and 4 patients in the SGLT2i-free group (HR 0.798, 95% CI 0.640–0.995, P = 0.041) (Fig. 3B). Heart failure readmissions were found in 7 patients in the SGLT2i group and 18 patients in the SGLT2i-free group (HR 0.462, 95% CI 0.236–0.902, P = 0.014) (Fig. 3C). Although no statistical difference was demonstrated in terms of all-cause death (Additional file 1: Fig. S1A), recurrent MI (Additional file 1: Fig S1B), non-fatal stroke (Additional file 1: Fig. S1C) or revascularization (Additional file 1: Fig S1D), SGLT2i-free group suffered more events. These results persisted in fully adjusted Cox regression models, which showed that SGLT2i reduced the risk of MACE in T2DM patients with ACS by 34.1% (HR 0.659, 95% CI 0.487–0.892, P = 0.007), primarily driven by a decrease in the risk of CV death by 12.0% (HR 0.880, 95% CI 0.783–0.990, P = 0.033) and heart failure readmission by 45.5% (HR 0.545, 95% CI 0.332–0.893, P = 0.01) (Table 2).
Kaplan–Meier curves to plot the cardiovascular outcomes in the matched population.. Kaplan–Meier curve for MACE.. Kaplan–Meier curve for CV death.Kaplan–Meier curves for heart failure readmission. MACE, major adverse cardiac event; CV, cardiovascular A B C
| Outcomes | SGLT2i | SGLT2i-free | Unadjusted Model | Model 1 | Model 2 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| HR | 95% CI | P Value | Adjusted HR | 95% CI | P Value | Adjusted HR | 95% CI | P Value | |||
| MACE | 41(18.1) | 69(30.5) | 0.545 | 0.370–0.803 | 0.002 | 0.657 | 0.483–0.893 | 0.007 | 0.659 | 0.487–0.892 | 0.007 |
| All-cause Death | 2(0.9) | 5(2.2) | 0.783 | 0.514–1.191 | 0.253 | 0.763 | 0.561–1.040 | 0.087 | 0.763 | 0.560–1.039 | 0.086 |
| CV death | 1(0.4) | 4(1.8) | 0.798 | 0.640–0.995 | 0.045 | 0.878 | 0.779–0.990 | 0.033 | 0.88 | 0.783–0.990 | 0.033 |
| Heart failure readmission | 7(3.1) | 18(8.0) | 0.462 | 0.236–0.902 | 0.024 | 0.543 | 0.330–0.894 | 0.016 | 0.545 | 0.332–0.893 | 0.016 |
| Recurrent MI | 10(4.4) | 14(6.2) | 0.801 | 0.477–1.345 | 0.401 | 0.638 | 0.099–4.093 | 0.635 | 0.637 | 0.099–4.096 | 0.635 |
| Stroke | 12(5.3) | 17(7.5) | 0.833 | 0.573–1.210 | 0.337 | 0.748 | 0.381–1.471 | 0.4 | 0.748 | 0.380–1.471 | 0.4 |
| Revascularization | 10(4.4) | 15(6.6) | 0.751 | 0.434–1.297 | 0.304 | 0.914 | 0.417–2.004 | 0.822 | 0.913 | 0.414–2.014 | 0.822 |
Subgroup analyses
We used subgroup analyses to explore whether SGLT2i exerted consistent CV benefits across different patient categories. In subgroup analyses on the SGLT2i lowering risk of MACE, no significant interactions were observed across different categories in terms of age, gender, BMI, diabetes duration, chronic heart failure, eGFR, or HbA1c (P interaction > 0.05 for all comparisons) (Fig. 4A). Thus, SGLT2i benefits in reducing MACE risks were consistently observed across subgroups.
Moreover, we considered evaluating subgroup analyses of CV death and heart failure readmission. Figure 4B showed SGLT2i consistently reduced the risk of heart failure readmission across different categories (P interaction > 0.05 for all comparisons). Due to the extremely limited number of CV death, we didn’t perform subgroup analyses for CV death.
Subgroup forest plots of T2D patients with ACS prescribing SGLT2i vs SGLT2i-free.Subgroup forest plot for major adverse cardiac events (MACE).Subgroup forest plot for heart failure readmission. ACS, acute coronary syndrome; BMI, body mass index; eGFR, estimated glomerular filtration rate; SGLT2i, sodium-glucose cotransporter 2; T2D, type 2 diabetes A B
Discussion
The present study investigated the SGLT2i use trend as well as its impact on MACE in Chinese T2D patients with ACS. Our data showed a clear increasing trend in SGLT2i use among Chinese patients with T2D and ACS from the year 2019 to 2022. Thereafter, to ensure the robustness of our results, we used a PSM model to investigate the association of SGLT2i use with CV clinical outcomes. Our data revealed that SGLT2i was associated with a significant 34.1% lower risk of MACE in T2D patients with ACS. This CV benefit of SGLT2i use was principally driven by a significant decrease in the risk of CV death by 12.0% and heart failure readmission by 45.5%. In addition, SGLT2i effects for lowering CV risk were consistently observed across subgroups.
Our study revealed a significant increasing trend of SGLT2i use in T2D combined with ACS from 9.9% in 2019 to 43.8% in 2022. This finding was consistent with the overall dramatic rise in SGLT2i use in China. A real-world study which enrolled a total of 181,743 prescriptions of SGLT2i in China and showed the annual number of prescriptions of SGLT2i dramatically increased to approximately 140 folds from 2018 to 2021 [17]. The massive increase was closely associated with robust evidence showing the beneficial effects of SGLT2i in T2D with CVD. In addition, the recent increasing trend might be relevant with heart failure indication of SGLT2i approved in China in 2022.
A substantial amount of epidemiological data has firmly established that T2D is relevant with a greater burden of atherosclerosis [18]. In contrast, there is still lack of consensus on the positive effect of intensive glucose management in comparison to non-intensive glucose control on CV outcomes. The Action to Control Cardiovascular Risk in Diabetes (ACCORD) study data showed that the intensive lowering blood glucose was associated with an increased risk of death [19]. As one of most widely used anti-diabetic medications decades ago, rosiglitazone was relevant with a significant increase in the risk of myocardial infarction and with an increase in the risk of CV death [20]. Therefore, CVOTs on novel T2D drugs including SGLT2i, have been requested to detect their CV risk. Several large CVOTs have supported SGLT2i benefits in improving clinical CV outcomes. A recent meta-analysis of 11 randomized controlled trials with a total of 34,058 cases analyzed [21] also verified SGLT2i administration statistically decreased the MACE rate and indicated the effective role of SGLT2i in primary and secondary prevention of CV outcomes, in population regardless of prior coronary heart disease. But, to date, all these studies excluded patients experiencing acute ACS events prior to enrollment. However, T2D patients combined with ACS are at extremely high risk of worse prognosis [22]. According to China CCC-ACS project, 37.6% of Chinese ACS patients had diabetes/possible diabetes and these patients were with a two-fold higher risk of all-cause death and a 1.5-fold higher risk of MACE [23]. Thus, it’s essential to investigate the treatment strategies for such patients. Our current study utilized real world evidence to generate data of SGLT2i use in T2D patients with ACS.
Our study was the first study to report that SGLT2i could reduce the MACE risk by 34.1% in T2D patients with ACS, including a 12.0% lower risk of CV death and 45.5% lower risk of heart failure readmission. This finding agreed with previous SGLT2i data in other populations. Like EMPA-REG OUTCOME trial, the 1st randomized, double-blind, placebo-controlled trial, showed SGLT2i could decrease risks of CV death by 38%, and hospitalization for heart failure by 35% in 7,020 T2D patients at high risk for CV events [24]. Furthermore, CANVAS found that SGLT2i could lower risk of three-point MACE by 14% in 10,142 T2D patients who were at an elevated risk of CVD [25]. Recently, Mao L et al. [26] reported that dapagliflozin could reduce risk of heart failure rehospitalization in diabetic acute myocardial infarction patients.
Several potential actions can be suggested to elucidate the beneficial effects of SGLT2i on MACE, although the precise mechanisms for CV protective effects of SGLT2i remains to be clarified. SGLT2i have exhibited systemic benefits, especially including hemodynamic effects, and metabolic effects, which are mainly led by the promotion of natriuresis and glycosuria and thereafter contribute to their cardioprotective actions. SGLT2i hemodynamic effects are possibly achieved with their antihypertensive activities by reductions of both systolic and diastolic blood pressure with 3–5 mmHg and 2–3 mmHg, respectively [27], without a compensatory heart rate increase. Several mechanisms have been proposed to underline the antihypertensive effects of SGLT2i, including a decrease in sodium reabsorption in proximal renal tubule, accompanied with body weight reduction and improved vascular function reflected in the reductions in arterial stiffness and vascular resistance [28]. The blood pressure modulation by SGLT2i would reduce cardiac preload and afterload, which could prevent patients from CV events, especially CV death. Metabolic effects of SGLT2i have also been reported, independent of their glucuretic actions, which could improve insulin resistance, suppress insulin secretion by beta cells, and stimulate glucagon secretion by alpha cells of pancreatic islets [29]. Additionally, all three SGLT2i have exerted body weight loss effect in T2D patients, mainly by reducing visceral adipose tissue, further contributing to ameliorating cardiometabolic risk profile [30]. Besides systemic effects of SGLT2i, several molecular mechanisms underlining direct cardiac effects of SGLT2i have been reported. Recent experimental studies showed SGLT2i might downregulate Na+/H+ exchanger and improve Ca2+ handling to prevent cardiac remodeling, necrosis, and hypertrophy [31]. Also, the significant reduction of intracellular sodium levels induced by SGLT2i could improve cardiac contractility and dysfunction, which has been proposed as the crucial molecular mechanism of action of SGLT2i to exert a cardioprotective role, particularly in reducing heart failure risk [32]. SGLT2i can also activate AMP-activated protein kinase (AMPK), which has been proved to be disturbed in diabetes patients. Animal studies showed restoration of AMPK signaling would protect mitochondrial function, followed by improved vascular barrier function, and ameliorate cardiac fibrosis and inflammation [33]. Another potential target of SGLT2i is TGF-β/Smad, which is highly engaged in cardiac fibrosis. SGLT2i have reported to inhibit TGF-β/Smad signaling pathway to suppress fibroblast activation and protect myocardial tissues from fibrotic transformation [34]. Multiple encouraging preclinical findings and clinical investigations have revealed that SGLT2i has beneficial effects on coronary microvascular dysfunction which leads to impaired regulation of blood flow and impacts patients’ quality and duration of life [35]. Furthermore, SGLT2i exhibit a positive influence on oxidative stress markers, as well as anti- and pro-apoptotic factors to facilitate the reduction of CV events risk [36].
Subgroup analyses suggested SGLT2i lowering risk of MACE was consistent across different categories, including age, sex, BMI, diabetes duration, chronic heart failure, and levels of HbA1c and eGFR. Additionally, SGLT2i exerted a consistently protective effect on heart failure readmission in T2DM patients with ACS. Our study was consistent with previous reports supporting SGLT2i CV benefits in the general patient population [37-39].
We found no significant difference in the risk of nonfatal myocardial infarction, stroke, and ischemia-driven revascularization between the two groups. The reason may be attributed to SGLT2i mode of action primarily inducing fluid loss from natriuresis and glycosuria, but largely had no impact on the anti–atherogenic effects. Such finding was consistent with recent meta-analysis which also suggested SGLT2i could reduce MACE without any discernable significant reduction of the incidence of MI or stroke [40].
Overall, it’s the first time to show SGLT2i could lower risk of MACE, CV death and heart failure readmission in the T2D patients with ACS. However, there are several limitations in our study. Firstly, the current study was a single- center retrospective study with limited sample size. But to minimize the study bias, PSM analysis was adopted for correction of potential confounders. Furthermore, SGLT-2i free users in our study also administrated different kinds of antidiabetic agents, the effects of which were not studied separately. In the future, prospective large-scale clinical studies with longer follow-up periods are expected to confirm the positive effects of SGLT2i in T2D patients with ACS.
Conclusion
In T2D patients with ACS, there was a clear increasing trend in SGLT2i use in our hospital from the year 2019 to 2022. SGLT2i was associated with a significant lower risk of CV outcomes driven by a significant decrease in the risk of CV death, and heart failure readmission. Our study confirmed the real-world use and efficacy of SGLT2i in a general T2D population with ACS.
Supplementary Information
Acknowledgements
We thank all the members who contributed to this study.
Abbreviations
Author contributions
T.L. and Z.F. conceived and designed the study; T.L., B.X., C.H., and S.W. collected the data; T.L., B.X., and Z.F. conducted the data analyses; and T.L. and Z.F. drafted the manuscript. All the authors approved the manuscript for submission.
Funding
This work was supported by Medical Science Research Funding of Civil Aviation General Hospital (Grant No.: 2022⁃L-K⁃33).
Availability of data and materials
Due to privacy and ethical constraints, the datasets generated and analyzed in this study are not publicly available but can be reasonably requested from the corresponding author.
Declarations
Ethics approval and consent to participate
The study got approval by the Ethics Committee of the Civil Aviation General Hospital (2022⁃L-K⁃33) and was conducted in accordance with Declaration of Helsinki guidelines. Patient informed consent was waived as part of the study approval.
Consent for publication
Not applicable.
Competing interests
Not applicable.
Footnotes
References
Associated Data
Supplementary Materials
Data Availability Statement
Due to privacy and ethical constraints, the datasets generated and analyzed in this study are not publicly available but can be reasonably requested from the corresponding author.