HbA1c trajectory and cardiovascular outcomes: an analysis of data from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study

Cardiovascular and renal outcomes of GLP-1 receptor agonists vs. DPP-4 inhibitors and basal insulin in type 2 diabetes mellitus: A systematic review and meta-analysis

OBJECTIVE

To compare the cardiovascular and renal outcomes of GLP-1 RA versus DPP4i and basal insulin in the management of T2DM.

METHODS

Data from 22 studies involving over 200,000 participants were pooled using the inverse variance method and random-effects meta-analysis. The review was reported in accordance with PRISMA.

RESULTS

Compared with DPP4i, treatment with GLP-1 RA was associated with a greater benefit on composite cardiovascular outcomes (HR:0.77, 95% CI:0.69-0.87), myocardial infarction (HR:0.82, 95% CI:0.69-0.97), stroke (HR:0.83, 95% CI: 0.74-0.93), cardiovascular mortality (HR:0.76, 95% CI:0.68-0.85) and all-cause mortality (HR:0.65, 95% CI:0.48-0.90). There was no difference in effect on heart failure (HR:0.97, 95% CI:0.82-1.15). Compared with basal insulin, GLP-1 RA was associated with better effects on composite cardiovascular outcomes (HR:0.62, 95% CI:0.48-0.79), heart failure (HR:0.57, 95% CI:0.35-0.92), myocardial infarction (HR:0.70, 95% CI:0.58-0.85), stroke (HR:0.50, 95% CI:0.40-0.63) and all-cause mortality (HR:0.31, 95% CI:0.20-0.48). Evidence from a small number of studies suggests that GLP-1 RA had better effects on composite and individual renal outcomes, such as eGFR, compared with either DPP4i and basal insulin.

CONCLUSION

Available evidence suggests that treating T2DM with GLP-1 RA can yield better benefits on composite and specific cardiorenal outcomes than with DPP4i and basal insulin.

PROSPERO REGISTRATION NUMBER

CRD42022335504.

Glycated haemoglobin trajectories and one-year risk of potentially avoidable hospitalisations among adult type 2 diabetes patients seeking care at specialist outpatient clinics of a tertiary hospital: a cohort study

AIM

To evaluate the association between trajectories of glycated haemoglobin (HbA1c) and potentially avoidable hospitalisations (PAH).

METHODS

We performed a cohort study in a tertiary hospital in Singapore among adult type 2 diabetes patients with ≥3HbA1c tests over two years. Then, we followed up for one year after the last HbA1c reading. Glycaemic control was analysed by (1)HbA1c trajectories through group-based trajectory modelling, and (2)mean HbA1c. PAH was defined using the Agency of Healthcare Research and Quality criteria, categorising as overall, acute, chronic, diabetes-composites.

RESULTS

A total of 14923 patients (mean age:62.9±12.8 years;55.2% men)were included. Four HbA1c trajectories were observed; low-stable(n=9854,66.0%), moderate-stable(n=3125,20.9%), high-decrease(n=1017,6.8%) and high-persistent(n=927,6.2%). Compared to the low-stable trajectory, one-year risk ratio(RR) and 95%CI, respectively for moderate-stable, high-decrease and high-persistent trajectories were as follows:(1)overall PAH:1.15(1.00-1.31),1.53(1.31-1.80),1.96(1.58-2.43);(2)diabetes PAH:1.30(1.04-1.64),1.98(1.55-2.53),2.24(1.59-3.15);(3)acute PAH:1.14(0.90-1.44),1.29(0.95-1.77),1.75(1.17-2.62); and (4)chronic PAH:1.21(1.02-1.43),1.62(1.34-1.97),2.14(1.67-2.75). Mean HbA1c was significantly associated with overall and chronic-composites of PAH whilst evidence of a non-linear relationship with diabetes-composite of PAH was noted.

CONCLUSION

Patients with high-decrease trajectory had a risk lower than those with persistently-high HbA1c, highlighting that a greater risk of hospitalisation conferred by poor glycaemic control is potentially reversible. Determining HbA1c trajectories could help to identify the high-risk individuals for targeted and intensive management to improve care and reduce hospitalisations.

Time trajectories of key cardiometabolic parameters and of cardiovascular risk in subjects with diabetes in a real world setting

BACKGROUND AND AIMS

Diabetes is associated with increased cardiovascular risk. Glycated haemoglobin (HbA_1c), lipid parameters and blood pressure are known risk factors for adverse outcome. The aim of the study was to explore the time trajectories of these key parameters and of the associated cardiovascular risk.

METHODS

We linked the diabetes electronic health records to the laboratory information system so as to investigate the trajectories of key metabolic parameters from 3 years prior to the diagnosis of diabetes to 10 years after diagnosis. We calculated the cardiovascular risk at the different time points during this period using the United Kingdom Prospective Study (UKPDS) risk engine.

RESULTS

The study included 21,288 patients. The median age at diagnosis was 56 years and 55.3% were male. There was a sharp decrease in HbA_1c after diagnosis of diabetes, but there was a progressive rise thereafter. All lipid parameters after diagnosis also improved in the year of diagnosis, and these improvements persisted even up to 10 years post-diagnosis. There was no discernible trend in mean systolic or diastolic blood pressures following diagnosis of diabetes. There was a slight decrease in the UKPDS-estimated cardiovascular risk after diagnosis of diabetes followed by a progressive increase. Estimated glomerular filtration rate declined at an average rate of 1.33 ml/min/1.73 m²/year.

CONCLUSIONS

Our data suggest that lipid control should be tightened with increasing duration of diabetes since this is more readily achievable than HbA_1c lowering and since other factors such as age and duration of diabetes are unmodifiable.

HbA1c is related to microcirculation blood perfusion in patients with coronary microvascular disease using stress perfusion cardiac magnetic resonance: An observational study

BACKGROUND

In coronary microvascular disease (CMD) patients, the incidence of major adverse cardiovascular events (MACEs) in patients with myocardial perfusion reserve index (MPRI) ≤ 1.47 is three times higher than that in MPRI > 1.47. We investigated whether the increase of glycated hemoglobin A1c (HbA1c) could increase the risk of MPRI ≤1.47 in diabetic and non-diabetic patients.

METHODS

From November 2019, patients with ischemic symptoms but without obstructive coronary disease were screened. Use MPRI measured by stress perfusion cardiac magnetic resonance (CMR) to reflect microcirculation blood perfusion, and MPRI <2.5 were included. The patients were divided into two groups based on MPRI was greater or <1.47. The risk factors for CMD were explored using logistic regression analysis.

RESULTS

A total of 80 patients with an MPRI of 1.69 ± 0.79 were included. CMD patients with an MPRI of ≤1.47(n = 33) were higher than MPRI of >1.47(n = 47) in age, presence of diabetes mellitus, fasting blood glucose levels and HbA1c levels (P < 0.05). In non-diabetic patients, increased HbA1c was associated with the risk of MPRI≤1.47 (OR = 0.017, 95%CI: 0.050-1.107, P = 0.045). Compared with non-diabetic patients with HbA1c < 6.0, non-diabetic patients with HbA1c ≥ 6.0 increased the risk of MPRI of ≤1.47 (OR = 0.219, 95%CI: 0.069-0.697, P = 0.010). In diabetic patients, HbA1c was not associated with the risk of MPRI of ≤1.47 (OR = 1.043, 95%CI: 0.269, 4.044, P = 0.952). And compared with non-diabetic patients with HbA1c <6.0, diabetic patients with HbA1c <6.0 (OR = 0.917, 95%CI: 0.233-3.610, P = 0.901) or ≥6.0 (OR = 0.326, 95%CI: 0.073-1.446, P = 0.140), the risk of MPRI ≤ 1.47 was not further increased.

CONCLUSIONS

In non-diabetic patients, elevated HbA1c is related to MPRI≤1.47(a value increased incidence of MACEs). Therefore, in patients with undiagnosed diabetes, early management of glycosylated hemoglobin is very important.

TRIAL REGISTRATION

This clinical trial has been registered in the Chinese clinical Trial Registry with an identifier: ChiCTR1900025810.