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Adjusting parameters of aortic valve stenosis severity by body size

Minners, Jan ; Gohlke-Baerwolf, Christa ; Kaufmann, Beat A. ; Bahlmann, Edda ; Gerdts, Eva ; Boman, Kurt ; Chambers, John B. ; Nienaber, Christoph A. ; Willenheimer, Ronnie LU and Wachtell, Kristian , et al. (2014) In Heart 100(13). p.1024-1030
Abstract
Background Adjustment of cardiac dimensions by measures of body size appears intuitively convincing and in patients with aortic stenosis, aortic valve area (AVA) is commonly adjusted by body surface area (BSA). However, there is little evidence to support such an approach. Objective To identify the adequate measure of body size for the adjustment of aortic stenosis severity. Methods Parameters of aortic stenosis severity (jet velocity, mean pressure gradient (MPG) and AVA) and measures of body size (height, weight, BSA and body mass index (BMI)) were analysed in 2843 consecutive patients with aortic stenosis (jet velocity >= 2.5 m/s) and related to outcomes in a second cohort of 1525 patients from the Simvastatin/Ezetimibe in Aortic... (More)
Background Adjustment of cardiac dimensions by measures of body size appears intuitively convincing and in patients with aortic stenosis, aortic valve area (AVA) is commonly adjusted by body surface area (BSA). However, there is little evidence to support such an approach. Objective To identify the adequate measure of body size for the adjustment of aortic stenosis severity. Methods Parameters of aortic stenosis severity (jet velocity, mean pressure gradient (MPG) and AVA) and measures of body size (height, weight, BSA and body mass index (BMI)) were analysed in 2843 consecutive patients with aortic stenosis (jet velocity >= 2.5 m/s) and related to outcomes in a second cohort of 1525 patients from the Simvastatin/Ezetimibe in Aortic Stenosis (SEAS) study. Results Whereas jet velocity and MPG were independent of body size, AVA was significantly correlated with height, weight, BSA and BMI (Pearson correlation coefficient (r) 0.319, 0.281, 0.317 and 0.126, respectively, all p<0.001) to the effect that larger patients presented with larger AVA (less severe stenosis). Of the anthropometric measures used for linear adjustment, BSA was most effective in eliminating the correlation between AVA and body size (r=0.007), rivalled only by allometric (non-linear) models, findings that are confirmed in 1525 prospectively followed patients from the SEAS study. Predictive accuracy for aortic valve events and cardiovascular death during 46 months of follow-up was unchanged by adjusting AVA, regardless of measure of body size (area under the receiver operating curve for AVA 0.72 (CI 0.58 to 0.87) versus, for example, AVA/BSA 0.75 (CI 0.61 to 0.88), p=0.22). Conclusions In the assessment of aortic stenosis, linear adjustment of AVA by BSA improves comparability between patients with diverging body size without, however, increasing the predictive accuracy for clinical events in a population with mild to moderate stenosis. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Heart
volume
100
issue
13
pages
1024 - 1030
publisher
BMJ Publishing Group
external identifiers
  • wos:000336894800009
  • scopus:84902366668
  • pmid:24780909
ISSN
1355-6037
DOI
10.1136/heartjnl-2013-305225
language
English
LU publication?
yes
id
6c78169a-5376-49df-80cc-83c4497e2c61 (old id 4549070)
date added to LUP
2016-04-01 10:21:46
date last changed
2022-04-27 21:23:59
@article{6c78169a-5376-49df-80cc-83c4497e2c61,
  abstract     = {{Background Adjustment of cardiac dimensions by measures of body size appears intuitively convincing and in patients with aortic stenosis, aortic valve area (AVA) is commonly adjusted by body surface area (BSA). However, there is little evidence to support such an approach. Objective To identify the adequate measure of body size for the adjustment of aortic stenosis severity. Methods Parameters of aortic stenosis severity (jet velocity, mean pressure gradient (MPG) and AVA) and measures of body size (height, weight, BSA and body mass index (BMI)) were analysed in 2843 consecutive patients with aortic stenosis (jet velocity &gt;= 2.5 m/s) and related to outcomes in a second cohort of 1525 patients from the Simvastatin/Ezetimibe in Aortic Stenosis (SEAS) study. Results Whereas jet velocity and MPG were independent of body size, AVA was significantly correlated with height, weight, BSA and BMI (Pearson correlation coefficient (r) 0.319, 0.281, 0.317 and 0.126, respectively, all p&lt;0.001) to the effect that larger patients presented with larger AVA (less severe stenosis). Of the anthropometric measures used for linear adjustment, BSA was most effective in eliminating the correlation between AVA and body size (r=0.007), rivalled only by allometric (non-linear) models, findings that are confirmed in 1525 prospectively followed patients from the SEAS study. Predictive accuracy for aortic valve events and cardiovascular death during 46 months of follow-up was unchanged by adjusting AVA, regardless of measure of body size (area under the receiver operating curve for AVA 0.72 (CI 0.58 to 0.87) versus, for example, AVA/BSA 0.75 (CI 0.61 to 0.88), p=0.22). Conclusions In the assessment of aortic stenosis, linear adjustment of AVA by BSA improves comparability between patients with diverging body size without, however, increasing the predictive accuracy for clinical events in a population with mild to moderate stenosis.}},
  author       = {{Minners, Jan and Gohlke-Baerwolf, Christa and Kaufmann, Beat A. and Bahlmann, Edda and Gerdts, Eva and Boman, Kurt and Chambers, John B. and Nienaber, Christoph A. and Willenheimer, Ronnie and Wachtell, Kristian and Holme, Ingar and Pedersen, Terje R. and Neumann, Franz-Josef and Jander, Nikolaus}},
  issn         = {{1355-6037}},
  language     = {{eng}},
  number       = {{13}},
  pages        = {{1024--1030}},
  publisher    = {{BMJ Publishing Group}},
  series       = {{Heart}},
  title        = {{Adjusting parameters of aortic valve stenosis severity by body size}},
  url          = {{http://dx.doi.org/10.1136/heartjnl-2013-305225}},
  doi          = {{10.1136/heartjnl-2013-305225}},
  volume       = {{100}},
  year         = {{2014}},
}