| 1. |
- Jander, Nikolaus, et al.
(författare)
-
Indexing aortic valve area by body surface area increases the prevalence of severe aortic stenosis
- 2014
-
Ingår i: Heart. - : BMJ. - 1355-6037 .- 1468-201X. ; 100:1, s. 28-33
-
Tidskriftsartikel (refereegranskat)abstract
- Background To account for differences in body size in patients with aortic stenosis, aortic valve area (AVA) is divided by body surface area (BSA) to calculate indexed AVA (AVA(index)). Cut-off values for severe stenosis are <1.0cm(2) for AVA and <0.6cm(2)/m(2) for AVA(index). Objective To investigate the influence of indexation on the prevalence of severe aortic stenosis and on the predictive accuracy regarding clinical outcome. Methods Echocardiographic and anthropometric data from a retrospective cohort of 2843 patients with aortic stenosis (jet velocity >2.5m/s) and from 1525 patients prospectively followed in the simvastatin and ezetimibe in aortic stenosis (SEAS) trial were analysed. Results The prevalence of severe stenosis increased with the AVA(index) criterion compared to AVA from 71% to 80% in the retrospective cohort, and from 29% to 44% in SEAS (both p<0.001). Overall, the predictive accuracy for aortic valve events was virtually identical for AVA and AVA(index) in the SEAS population (mean follow-up of 46months; area under the receiver operating characteristic curve: 0.67 (95% CI 0.64 to 0.70) vs 0.68 (CI 0.65 to 0.71) (NS). However, 213 patients additionally categorised as severe by AVA(index) experienced significantly less valve related events than those fulfilling only the AVA criterion (p<0.001). Conclusions Indexing AVA by BSA (AVA(index)) significantly increases the prevalence of patients with criteria for severe stenosis by including patients with a milder degree of the disease without improving the predictive accuracy for aortic valve related events.
|
|
| 2. |
- Jander, Nikolaus, et al.
(författare)
-
Outcome of Patients With Low-Gradient "Severe" Aortic Stenosis and Preserved Ejection Fraction
- 2011
-
Ingår i: Circulation. - 1524-4539 .- 0009-7322. ; 123:8, s. 887-895
-
Tidskriftsartikel (refereegranskat)abstract
- Background-Retrospective studies have suggested that patients with a low transvalvular gradient in the presence of an aortic valve area <1.0 cm(2) and normal ejection fraction may represent a subgroup with an advanced stage of aortic valve disease, reduced stroke volume, and poor prognosis requiring early surgery. We therefore evaluated the outcome of patients with low-gradient "severe" stenosis (defined as aortic valve area < 1.0 cm(2) and mean gradient <= 40 mm Hg) in the prospective Simvastatin and Ezetimibe in Aortic Stenosis (SEAS) study. Methods and Results-Outcome in patients with low-gradient "severe" aortic stenosis was compared with outcome in patients with moderate stenosis (aortic valve area 1.0 to 1.5 cm(2); mean gradient 25 to 40 mm Hg). The primary end point of aortic valve events included death from cardiovascular causes, aortic valve replacement, and heart failure due to aortic stenosis. Secondary end points were major cardiovascular events and cardiovascular death. In 1525 asymptomatic patients (mean age, 67 +/- 10 years; ejection fraction, >= 55%), baseline echocardiography revealed low-gradient severe stenosis in 435 patients (29%) and moderate stenosis in 184 (12%). Left ventricular mass was lower in patients with low-gradient severe stenosis than in those with moderate stenosis (182 +/- 64 versus 212 +/- 68 g; P < 0.01). During 46 months of follow-up, aortic valve events occurred in 48.5% versus 44.6%, respectively (P=0.37; major cardiovascular events, 50.9% versus 48.5%, P=0.58; cardiovascular death, 7.8% versus 4.9%, P=0.19). Low-gradient severe stenosis patients with reduced stroke volume index (<= 35 mL/m(2); n=223) had aortic valve events comparable to those in patients with normal stroke volume index (46.2% versus 50.9%; P=0.53). Conclusions-Patients with low-gradient "severe" aortic stenosis and normal ejection fraction have an outcome similar to that in patients with moderate stenosis. (Circulation. 2011;123:887-895.)
|
|
| 3. |
|
|
| 4. |
- Jander, Nikolaus, et al.
(författare)
-
Velocity ratio predicts outcomes in patients with low gradient severe aortic stenosis and preserved EF
- 2014
-
Ingår i: Heart. - : BMJ. - 1355-6037 .- 1468-201X. ; 100:24, s. 1946-1953
-
Tidskriftsartikel (refereegranskat)abstract
- Objective To evaluate the usefulness of velocity ratio (VR) in patients with low gradient severe aortic stenosis (LGSAS) and preserved EF.Background LGSAS despite preserved EF represents a clinically challenging entity. Reliance on mean pressure gradient (MPG) may underestimate stenosis severity as has been reported in the context of paradoxical low flow, LGSAS. On the other hand, grading of stenosis severity by aortic valve area (AVA) may overrate stenosis severity due to erroneous underestimation of LV outflow tract (LVOT) diameter, small body size or inconsistencies in cut-off values for severe stenosis. We hypothesised that VR may have conceptual advantages over MPG and AVA, predict clinical outcomes and thereby be useful in the management of patients with LGSAS.Methods Patients from the prospective Simvastatin and Ezetimibe in Aortic Stenosis (SEAS) study with an AVA<1.0 cm(2), MPG <= 40 mm Hg and EF >= 55% and asymptomatic at baseline were stratified according to VR with a cut-off value of 0.25. Outcomes were evaluated according to aortic valve-related events and cardiovascular death.Results Of 435 patients with LGSAS, 197 (45%) had VR<0.25 suggesting severe and 238 (55%) had VR >= 0.25 suggesting non-severe stenosis. Aortic valve-related events (mean follow-up 42 +/- 14 months) were more frequent in patients with VR<0.25 (57% vs 41%; p<0.001) as was cardiovascular death within the first 24 months (p<0.05). In multivariable Cox regression analysis, MPG was the strongest independent predictor of aortic valve events (p<0.001) followed by VR (p<0.02). Adjusting AVA by VR increased predictive accuracy for aortic valve events (area under the receiver operating curve 0.62 (95% CI 0.57 to 0.67) vs 0.56 (95% CI 0.51 to 0.61) for AVA, p=0.02) with net reclassification improvement calculated at 0.36 (95% CI 0.17 to 0.54, p<0.001). VR did not improve the prediction of clinical events by MPG.Conclusions In the difficult setting of LGSAS, VR shows a strong association with valve-related events and - although not outperforming MPG-may be particularly useful in guiding clinical management.
|
|
