Utility of a bedside acoustic cardiographic model to predict elevated left ventricular filling pressure.
Abstract
BACKGROUND
The authors previously described an acoustic cardiographic model that predicted echocardiographic correlates of elevated left
ventricular (LV) filling pressure. This study evaluated this bedside acoustic cardiographic model against invasive measurements
of LV filling pressure.
METHODS AND RESULTS
Data were prospectively obtained from 68 adults referred for right heart catheterisation. Acoustic cardiographic measurements
were obtained during right heart catheterisation. Elevated LV filling pressure was defined as a pulmonary capillary wedge
pressure (PCWP) > or =15 mm Hg. Parameters generated from a previous dataset used for the current analysis were measures of
LV systolic time, maximum negative area of the P wave, QTc interval and third heart sound (S3) score. Logistic regression
was used to calculate area under the curve (AUC). Of the 66 patients included, 39 had elevated PCWP. Estimating the probability
of an elevated PCWP from the derived model resulted in an AUC of 0.72 (95% CI 0.60 to 0.85). When the regression model's parameters
were held constant but the parameter estimates were allowed to vary, the AUC in the validated model was 0.76 (95% CI 0.64
to 0.88). At a specificity of 90% the positive likelihood ratio (LR+) was 5.0 (1.7 to 15.3) and the negative likelihood ratio
was 0.49 (0.34 to 0.71).
CONCLUSION
These data demonstrate that the four-variable model predicts elevated filling pressure at the bedside with high specificity
and an intermediate LR+. With improvements in sensitivity and further prospective validation of this model in a cohort of
emergency department patients with undifferentiated dyspnoea this may be a useful bedside diagnostic modality.
Links
Authors
Collins SP, Kontos MC, Michaels AD, Zuber M, Kipfer P, Attenhofer Jost C, Roos M, Jamshidi P, Erne P, Lindsell CJ
Institution
University of Cincinnati, Department of Emergency Medicine, 231 Albert Sabin Way, Cincinnati, OH 45267-0769, USA. sean.collins@uc.edu
Source
Emergency medicine journal : EMJ 27:9 2010 Sep pg 677-82MeSH
AdultAged
Aged, 80 and over
Blood Pressure
Cohort Studies
Electrocardiography
Female
Heart Catheterization
Heart Failure
Humans
Logistic Models
Male
Middle Aged
Models, Cardiovascular
Point-of-Care Systems
Sensitivity and Specificity
Ventricular Dysfunction, Left
Pub Type(s)
Journal ArticleLanguage
eng
PubMed ID
20515905
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