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Prognostic impact of HbA1c variability on long-term outcomes in patients with heart failure and type 2 diabetes mellitus

Overview of attention for article published in Cardiovascular Diabetology, June 2018
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Title
Prognostic impact of HbA1c variability on long-term outcomes in patients with heart failure and type 2 diabetes mellitus
Published in
Cardiovascular Diabetology, June 2018
DOI 10.1186/s12933-018-0739-3
Pubmed ID
Authors

Jun Gu, Jian-an Pan, Yu-qi Fan, Hui-li Zhang, Jun-feng Zhang, Chang-qian Wang

Abstract

The prognostic impact of long-term glycemic variability on clinical outcomes in patients with heart failure (HF) and type 2 diabetes mellitus (T2DM) remains unclear. We determined and compared hemoglobin A1c (HbA1c) variability and clinical outcomes for patients with HF with preserved ejection fraction (HFpEF), HF with mid-range ejection fraction (HFmrEF) and HF with reduced ejection fraction (HFrEF) in a prospective longitudinal study. Patients with HF and T2DM, undergone 3 or more HbA1c determinations during the first 18 months, were then followed for 42 months. The primary outcome was death from any cause. Secondary outcome was composite endpoints with death and HF hospitalization. Cox proportional hazards models were used to compare outcomes for patients with HFpEF, HFmrEF and HFrEF. Of 902 patients enrolled, 32.2% had HFpEF, 14.5% HFmrEF, and 53.3% HFrEF. During 42 months of follow-up, 270 (29.9%) patients died and 545 (60.4%) patients experienced composite endpoints of death and HF readmission. The risk of all-cause death or composite endpoints was lower for HFpEF than HFrEF. Moreover, higher HbA1c variability was associated with higher all-cause mortality or composite endpoints and HbA1c variability was an independent predictor of all-cause mortality or composite endpoints, regardless of EF. This prospective longitudinal study showed that the all-cause death and composite events was lower for HFpEF than HFrEF. HbA1c variability was independently and similarly predictive of death or combined endpoints in the three HF phenotypes.

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Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 18%
Student > Master 9 10%
Student > Postgraduate 5 6%
Student > Ph. D. Student 5 6%
Other 4 5%
Other 12 14%
Unknown 37 42%
Readers by discipline Count As %
Medicine and Dentistry 27 31%
Nursing and Health Professions 6 7%
Computer Science 3 3%
Neuroscience 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 7 8%
Unknown 40 45%