The Intersecting Role of Glycaemia and Cardiac Function in the Development of Heart Failure Among Patients with Type 2 Diabetes Mellitus After an Acute Coronary Syndrome
Notice bibliographique
Résumé
This article refers to ‘Hyperglycaemia, ejection fraction and the risk of heart failure or cardiovascular death in patients with type 2 diabetes and a recent acute coronary syndrome’ by S.H. Shin et al., published in this issue on pages 1133–1143. Risk assessment is of paramount importance in patients with diabetes who are survivors of an acute coronary syndrome (ACS). These patients have an early high-risk window for early cardiovascular (CV) events, including heart failure (HF), where mortality is exceedingly high.1 With a rapidly evolving landscape in treatment and prevention of CV disease among patients with type 2 diabetes mellitus (T2DM), there is a need to better identify high-risk patients, in whom initiating therapy targeting subsequent ischaemic events and HF may be life-saving. As oral hyperglycaemic agents, such as sodium–glucose co-transporter 2 (SGLT2) inhibitors and some glucagon-like peptide 1 (GLP-1) receptor agonist, reduce the risk of CV events among patients with T2DM with established atherosclerotic CV disease,2, 3 strategies to risk stratify for ischaemic and HF outcomes in a post-ACS population are a clinically important endeavour. In this issue of the Journal, Shin et al.4 add to our knowledge of risk assessment by examining the relationship between chronic hyperglycaemia and left ventricular ejection fraction (LVEF) in a contemporary cohort of T2DM with a recent ACS that participated in the ELIXA (Evaluation of Lixisenatide in Acute Coronary Syndrome) trial.5 In this secondary analysis, the authors examined 4091 patients in whom LVEF and glycated haemoglobin (HbA1c) was available after the index ACS. The authors assessed the relationship between baseline HbA1c and LVEF for a composite outcome of first occurrence of either CV death or hospitalization for HF (HFH). The authors showed that both an elevated HbA1c and a reduced LVEF were independently associated with an increased risk for HFH and/or CV death with the highest risk group seen in patients with an HbA1c >8% and LVEF <40%. The authors reported that chronic hyperglycaemia appeared to have a stronger association with CV death rather than HFH, which could be related to an increased risk for recurrent ischaemic events (Figure 1A). This finding could reflect the direct alteration of a vulnerable vascular endothelium in the post-ACS period to oxidative stress from prolonged hyperglycaemia leading to inflammation and thrombus formation.6 The degree of chronic hyperglycaemia did not appear to be independently associated with HFH alone after multivariable adjustment including LVEF (which remained significantly associated with HFH after multivariable adjustment). This could be a consequence of the duration of follow-up (median follow-up 25.7 months) or could reflect the hypothesis that the prognostic information provided by measures of glycaemic control are attenuated by other clinical features (e.g. LVEF). The impact of chronic hyperglycaemia on cardiac systolic or diastolic function, as mediated through endothelial dysfunction and fibrosis,7 might have been better captured with longer-term follow-up of these patients. These results reinforce the principle that a reduced LVEF still remains as one of the strongest predictors of HF outcomes among patients with T2DM after an ACS.8 There are some additional consideration of this analysis worth exploring. There was only a small proportion of patients with poorly controlled diabetes (18% with a HbA1c >9%). It is well known that both the micro- and macrovascular consequences of T2DM increase substantially with an elevated HbA1c, with the highest risk in patients with an HbA1c >9%.9 The relationship between HbA1c and LVEF might require a more significant degree of hyperglycaemia or perhaps chronic hyperglycaemia for a longer duration in order to impair systolic or diastolic function. Furthermore, while HbA1c may serve as a measure of chronic hyperglycaemia during the post-ACS period, inflammation and myocardial injury can persist over hours to weeks after an infarction,10 which could confound the measure of hyperglycaemia. While the authors attempted to adjust for the time interval of HbA1c measurement, the possibility for residual confounding may still exist. Furthermore, while HbA1c serves as an average marker of glucose control in the preceding 2 to 3 months, it negates fluctuations in glucose measures, which may serve as a more important prognostic factor than measures of HbA1c. Indeed, studies have shown that the variability in glucose levels and acuity of hyperglycaemia may be more damaging to the vascular endothelium than chronic hyperglycaemia.11 There was a low proportion of CV events, particularly for HFH (only 4.4%), which limits the individual power for the subgroup analysis as stratified by HbA1c and LVEF. Furthermore, the reclassification measures for HbA1c and LVEF were not described. These results suggest several avenues for clinical management and future investigation (Figure 1B). First, given the high risk of CV events, the present analysis from the ELIXA trial suggests that among patients with T2DM who are post-ACS, the degree of glycaemic control should not impact the decision to initiate antihyperglycaemic therapies that can reduce the risk of HF and CV events (namely SGLT2 inhibitors or GLP-1 receptor agonists). While large randomized clinical trials have shown no benefit of intensive glycaemic control in reducing macrovascular events,12, 13 the CV benefit of SGLT2 inhibitors2 and some GLP-1 receptor agonists1 appears to be largely independent of the degree of glycaemic control.14 Additional studies into the mechanism of why glycaemic control plays a prognostic role in CV death but not in HFH may help to clarify the relationship of how dysglycaemia contributes to the pathogenesis of HF. Among patients with T2DM post-ACS, the role of early initiation (either during the index ACS event or shortly thereafter) of antihyperglycaemic agents that can reduce CV risk should also be evaluated – especially among patients showing reduced cardiac function. The mechanism of disease progression might be more modifiable with simultaneous initiation of multiple classes of antihyperglycaemic agents and this strategy also warrants further investigation. Understanding the role of preserved vs. reduced ejection fraction in stratifying for the risk of recurrent myocardial infarction vs. HFH in patients with T2DM post-ACS needs to be clarified as this may help to define the specific types of antihyperglycaemic therapy that should be initiated. Finally, in patients with T2DM, given the low use of evidence-based and guideline-recommended antihyperglycaemic therapies to reduce the risk of CV events, there is a need to further leverage existing digital technology15 to identify patients in whom early initiation of SGLT2 inhibitors and GLP-1 receptor agonists are warranted. Conflict of interest: A.S. reports personal support from the Fonds de Recherche Sante – Quebec (FRSQ) Junior 1 clinician scientist award, McGill University Lucien Award, Bayer, Canadian Cardiovascular Society, Alberta Innovates Health Solution, Roche Diagnostics, Takeda, Boehringer Ingelheim, and Akcea. The other authors have nothing to disclose.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».