Both High and Low HbA1c Predict Incident Heart Failure in Type 2 Diabetes Mellitus

Parry, Helen; Deshmukh, Harshal; Levin, Daniel L.; Zuydam, Natalie Van; Elder, Douglas; Morris, Andrew D.; Struthers, Allan D.; Palmer, Colin N.A.; Doney, Alex S.F.; Lang, Chim C.

doi:10.1161/circheartfailure.113.000920

Cited by 49 publications

(36 citation statements)

References 48 publications

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“…The findings were in good agreement with many studies that had shown the relationship between overall glycemic level and LV function. Parry et al found that HbA1c >10% was independently correlated with the risk of heart failure (hazard ratio = 1.80, 95% CI: 1.60–2.16). Shi et al identified a correlation between elevated serum HbA1c levels and decreased LVEF.…”

Section: Discussionmentioning

confidence: 99%

Left ventricular structural alterations are accompanied by subclinical systolic dysfunction in type 2 diabetes mellitus patients with concomitant hyperlipidemia: An analysis based on 3D speckle tracking echocardiography

et al. 2018

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Section: Discussionmentioning

confidence: 99%

Left ventricular structural alterations are accompanied by subclinical systolic dysfunction in type 2 diabetes mellitus patients with concomitant hyperlipidemia: An analysis based on 3D speckle tracking echocardiography

et al. 2018

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“…Echocardiograms are reported by fully accredited sonographers (either British Society of Echocardiography or European Society of Cardiovascular Imaging). This database has been used previously to determine the presence of left ventricular systolic dysfunction …”

Section: Methodsmentioning

confidence: 99%

Microvascular disease and heart failure with reduced and preserved ejection fraction in type 2 diabetes

et al. 2020

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Aims Identification of patients with type 2 diabetes (T2D) at increased risk of incident heart failure (HF) beyond traditional risk factors such as prior myocardial infarction (MI) might allow selection of patients who would benefit from preventative treatment. Microvascular disease (MiVD) is thought to play a pathophysiological role in the development of HF in T2D; however, its association with new-onset HF with reduced or preserved ejection fraction has not been specifically defined. Methods and results Patients in the Genetics of Diabetes Audit and Research Tayside Scotland study were linked to echocardiography, prescriptions, and clinical outcomes. In total, 9141 patients with T2D were identified for analysis. Clinical variables and the presence of retinopathy, nephropathy, and neuropathy were assessed. Cumulative incidence was calculated for the association of both individual and the total number of MiVD states and incident HF. Median follow-up was 9.3 years. In total, there were 900 HF events. The presence of any MiVD was independently associated with both HF with reduced ejection fraction (hazard ratio 1.40; 95% confidence interval 1.11-1.76, P = 0.004) and HF with preserved ejection fraction (hazard ratio 1.38; 95% confidence interval 1.10-1.72, P = 0.005), with a stepwise association between the number of MiVD states and risk of incident HF (P for trend <0.001). Similar associations were found in sensitivity analyses limited to patients without a prior MI, and using competing risks analysis. Conclusions Individuals with T2D and with MiVD are at risk of incident HF independent of a history of prior HF or MI. Patients with MiVD could benefit from screening for HF and individualized therapy with treatments that lower HF risk.

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“…Long‐term measurement of cIMT and TPA may aid the clinicians in the prediction and treatment of severe future events . Multiple studies have been reported that showed the progression of these biomarkers is associated with an elevated risk of stroke or CVD . Hence, in this study, our aim was to predict the 10‐year measurements of carotid image‐based phenotypes by fusing the traditional CV risk biomarkers with current image phenotypes.…”

Section: Discussionmentioning

confidence: 99%

“…Cardiovascular diseases (CVD) especially heart attack and stroke are the leading causes of deaths around the world with higher incidence rates in males as compared to females . Around 90% of these deaths are attributed to the conventional cardiovascular risk factors such as ethnicity, gender, chronological age, diabetes, smoking, obesity, hyperlipidemia, and hypertension . However, the traditional risk factors do not explain morphological changes in the blood vessels and elevation of coronary artery diseases especially atherosclerosis in every individual …”

Section: Introductionmentioning

confidence: 99%

Nonlinear model for the carotid artery disease 10‐year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort study

et al. 2019

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Motivation:This study presents a novel nonlinear model which can predict 10-year carotid ultrasound image-based phenotypes by fusing nine traditional cardiovascular risk factors (ethnicity, gender, age, artery type, body mass index, hemoglobin A1c, hypertension, low-density lipoprotein, and smoking) with five types of carotid automated image phenotypes (three types of carotid intima-media thickness (IMT), wall variability, and total plaque area).Methodology: Two-step process was adapted: First, five baseline carotid imagebased phenotypes were automatically measured using AtheroEdge™ (AtheroPoint™, CA, USA) system by two operators (novice and experienced) and an expert. Second, based on the annual progression rates of cIMT due to nine traditional cardiovascular risk factors, a novel nonlinear model was adapted for 10-year predictions of carotid phenotypes.

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Both High and Low HbA1c Predict Incident Heart Failure in Type 2 Diabetes Mellitus

Cited by 49 publications

References 48 publications

Left ventricular structural alterations are accompanied by subclinical systolic dysfunction in type 2 diabetes mellitus patients with concomitant hyperlipidemia: An analysis based on 3D speckle tracking echocardiography

Left ventricular structural alterations are accompanied by subclinical systolic dysfunction in type 2 diabetes mellitus patients with concomitant hyperlipidemia: An analysis based on 3D speckle tracking echocardiography

Microvascular disease and heart failure with reduced and preserved ejection fraction in type 2 diabetes

Nonlinear model for the carotid artery disease 10‐year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort study

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