1.
Abdominal aortic aneurysm calcification: trying to identify a reliable semiquantitative method.
Dias-Neto, M, Neves, E, Sousa-Nunes, F, Henriques-Coelho, T, Sampaio, S
The Journal of cardiovascular surgery. 2021;(1):51-58
Abstract
BACKGROUND The main objective of this study was to assess the correlation between three semiquantitative and one computerized method based on Agatston Score (AS), when measuring abdominal aortic calcification (AAC) in abdominal aortic aneurysm (AAA) patients. Secondary aim was to access differences in AAC upon clinical variables, when different methods of calcium scoring are used. METHODS This was an observational, retrospective, cross-sectional study. A database of AAA patients consecutively submitted to elective repair between 2008 and 2015 was used. Patients were excluded if they did not have preoperative imaging or presented scans incompatible with at least one of the whole set of calcification methods tested. Calcification measures were performed using AS, Aortic Calcification Index (ACI), AAC-8 and AAC-24 methods. The Pearson's correlation was used for primary analysis. RESULTS Study population comprised 102 patients, 95% males, with a median age of 71 (interquartile range, IQR 66-76) years. AAAs presented median aortic diameter of 60 (54-70) mm. Pearson's correlation with AS was 0.816 for ACI, 0.703 for AAC-8 and 0.648 for AAC-24. ACI also presented the highest ICC for intraobserver agreement (0.972) and for interobserver agreement (0.966). ACI was associated more often to demographic and clinical variables in the dataset that associated with the computerized method. CONCLUSIONS ACI is suggested as a fast and easy-to-use method of assessing AAC in AAA patients. Its use should be encouraged to study AAC in AAA over other semiquantitative methods, in research settings.
2.
Coronary calcium score improves the estimation for pretest probability of obstructive coronary artery disease and avoids unnecessary testing in individuals at low extreme of traditional risk factor burden: validation and comparison of CONFIRM score and genders extended model.
Wang, M, Liu, Y, Zhou, X, Zhou, J, Zhang, H, Zhang, Y
BMC cardiovascular disorders. 2018;(1):176
Abstract
BACKGROUND Reliability of models for estimating pretest probability (PTP) of obstructive coronary artery disease (CAD) has not been investigated in individuals at low extreme of traditional risk factor (RF) burden. Thus, we sought to validate and compare CONFIRM score and Genders extended model (GEM) among these individuals. METHODS We identified symptomatic individuals with 0 or 1 RF who underwent coronary calcium scan and coronary computed tomographic angiography (CCTA). Follow-up clinical data were also recorded. PTP of obstructive CAD for every individual was estimated according to CONFIRM score and GEM, respectively. Area under the receiver operating characteristic curve (AUC), integrated discrimination improvement (IDI), net reclassification improvement (NRI) and Hosmer-Lemeshow (H-L) test were used to assess the performance of models. RESULTS There were 1201 individuals with 0 RF and 2415 with 1 RF. The AUC for GEM was significantly larger than that for CONFIRM score, no matter in individuals with 0 (0.843 v.s. 0.762, pā<ā0.0001) or 1 (0.823 v.s. 0.752, pā<ā0.0001) RF. Compared to CONFIRM score, GEM demonstrated positive IDI (5% in individuals with 0 RF and 8% in individuals with 1 RF), positive NRI (41.50% in individuals with 0 RF and 40.19% in individuals with 1 RF), better prediction of clinical events and less discrepancy between observed and predicted probabilities, resulting in a significant decrease of unnecessary testing, especially in negative individuals. CONCLUSION In individuals at low extreme of traditional RF burden of CAD, the addition of coronary calcium score provided a more accurate estimation for PTP and application of GEM instead of CONFIRM score could avoid unnecessary testing.