Heart failure & cardiomyopathies
A Meta-Analysis of the Relationship Between Glycaemic Variability and the Mortality of Patients with Heart Failure
Pooled result · All-cause mortalityResult — go to the resultRelative risk 2.18 95% CI 1.61–2.96Authors' conclusion
A high GV could be a risk factor of mortality of patients with HF.
Study context
- Population
- Patients with heart failure (HF)
- Participants
- 76,843 patients9 cohort studies
- Comparison
- Higher vs lower glycaemic variability
- Outcome
- Mortality
- Follow-up
- Up to 86 months
Methodological detailsrandom-effects model
- Random-effects model
Pooled result
All-cause mortality
Relative risk
2.18
95% CI 1.61–2.96
P < 0.001
Highervs lower glycaemic variability
RR 2.18 (95% CI 1.61–2.96); P < 0.001
As reported in the abstract
Further pooled results
Mortality by diabetic status, glycaemic variability (GV) type, study design, country, follow-up duration, study quality (subgroups)
- Association not significantly influenced by any subgroup factor
- P-values for subgroup differences all >0.05
Original publication
A Meta-Analysis of the Relationship Between Glycaemic Variability and the Mortality of Patients with Heart Failure. ESC Heart Fail. Published 19 January 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →