Type 2 & other diabetes

The worsening effect of anemia on left ventricular function and global strain in type 2 diabetes mellitus patients: a 3.0 T cardiac magnetic resonance (CMR) feature tracking study

Cardiovasc DiabetolPublished Retrospective cross-sectional study

Authors' conclusion

Anemia has additive deleterious effects on LV function and LV global strains in patients with T2DM. Regular detection and early intervention of anemia might be beneficial for T2DM patients.

Study context

Population
T2D patients with or without anemia and controls who underwent CMR236 T2D + 67 controls
Exposure
T2D with anemia vs T2D without anemia vs controls
  • Controln = 67reference
Outcome
LV global radial, longitudinal and circumferential peak strain (GRPS, GLPS, GCPS)
Methodological detailscardiac magnetic resonance feature tracking
  • Cardiac magnetic resonance feature tracking

Main finding

As reported in the abstract

LV global peak strains (all three directions)
Left ventricular (LV) global peak strains in all three directions worsened successively from controls to T2D without anemia to T2D with anemia
all p < 0.001

Observational data: associations, not effects.

Further findings

Baseline and LV function parameters

T2D with anemia oldest, lowest hemoglobin (Hb) and eGFR, highest LV end-systolic volume index, end-diastolic volume index and LV mass index vs control and T2D without anemia
all P ≤ 0.001

Factors associated with LV global strains (multivariable linear regression, T2D groups)

Decrease in Hb independently associated with worsening global radial peak strain (GRPS)
β = 0.237, p = 0.001
Decrease in Hb independently associated with worsening GCPS
β = 0.326, p < 0.001
Decrease in Hb independently associated with worsening GLPS
β = 0.265, p < 0.001

Original publication

The worsening effect of anemia on left ventricular function and global strain in type 2 diabetes mellitus patients: a 3.0 T CMR feature tracking study. Cardiovasc Diabetol. Published 24 January 2023. doi:10.1186/s12933-023-01745-3

Composed by AI from the published abstract and checked against it. How Briefs are made →

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