Morphological and dynamic analysis of the normal aortic valve with 4D computed tomography.

OBJECTIVES: To evaluate the precise dimensions of the normal aortic root, especially the true aortic annulus, during the cardiac cycle using an innovative reconstruction method based on multiphase cardiac computed tomography and to assess the feasibility and the reproducibility of this method for aortic root analysis. METHODS: Between January 2019 and June 2021, 30 optimal consecutive ECG-gated multiphase cardiac computed tomography of patients with normal tricuspid aortic valve were analysed using an in-house software. Aortic annulus border was pinpointed on 9 reconstructed planes and the 3D coordinates of the 18 consecutive points were interpolated into a 3D curve using a cubic spline. Three additional planes were generated at the level of the left ventricular outflow tract, the level of the Valsalva sinus and the level of the sinotubular junction. This procedure was repeated for all the 10 temporal phases of the RR interval. RESULTS: The aortic annulus mean 3D and 2D areas were 7.67 ± 1.51 and 5.16 ± 1.40 cm2, respectively. The mean 2D diameter was 2.51 ± 0.23 cm. The mean global area expansion was 11.8 ± 3.5% and the mean perimeter expansion of 7.1 ± 2.6%. During the cardiac cycle, the left ventricle outflow tract expands, reaching its maximum surface at the end of diastole, followed by the aortic annulus, the Valsalva sinuses and the sinotubular junction. The aorta changes from a clover-shaped cone during diastole to more cylindrical shape during systole. Compared to the 3D measurements, the analysis of the virtual basal ring significantly underestimates the annulus area, perimeter, and mean diameter. CONCLUSIONS: 4D morphometric analysis enables to have a precise and reproducible evaluation of the aortic annulus. The aortic annulus and root are deformable structures that undergo a unique expansion sequence during the cardiac cycle which should be considered for procedural planning.

The mortality rates in registries of patients with STEMI are highly affected by inclusion criteria and population characteristics.

BACKGROUND: Different mortality rates are reported in registries of patients with ST-segment elevation myocardial infarction (STEMI), but comparisons between registries are challenging. AIMS: To determine whether the higher mortality rate in our regional French registry (SCALIM) is related to different inclusion criteria and demographic characteristics. METHODS: The SCALIM registry included all patients with STEMI within the first 24 h in the region of Limousin, France (06/2011-01/2015). To compare mortality rates with other contemporary registries in France and European neighbouring countries, the others' inclusion criteria were applied to the SCALIM registry. RESULTS: Among 1501 patients included, in-hospital and 1-month mortality were 8.2% and 8.8% respectively, significantly higher than many other registries. The use of inclusion criteria from EMUST (France), MINAP (UK) or LOMBARDIMA (Italy) markedly decreased the number of enrolled patients by 64%, 36%, and 21%, respectively. When those inclusion criteria were applied to the SCALIM registry, difference in in-hospital and 1-month mortality rates between other registries and ours remained significant. In the multivariate analysis, age, initial acute pulmonary oedema (Killip class ≥2), complication occurring before percutaneous coronary intervention, absence of transfer to an interventional cardiology centre for primary angioplasty and lack of reperfusion therapy within 12 h were associated with higher risk of 1-month mortality (all p < 0.05). Age (65 versus 63.3 years, p < 0.001) was higher and reperfusion rate (84.2 versus 74.7%, p < 0.001) was significantly lower in SCALIM than FAST-MI, the national French registry on STEMI patients. Interestingly, the 3% of patients included in SCALIM who would be excluded from FAST-MI registry had 91% mortality at one month. CONCLUSION: Higher mortality rate in our regional SCALIM registry is in part due to differences in inclusion criteria and demographic data. Consensus should be made to harmonise inclusion criteria in STEMI registries for the sake of comparability.