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https://doi.org/10.15836/ccar2022.253

A Body Shape Index versus Systematic Coronary Risk Evaluation2 algorithm and Atherosclerotic Cardiovascular Disease Risk Score – is there a connection?

Mihovil Santini orcid id orcid.org/0000-0002-1428-4484 ; University of Zagreb, School of Medicine, Zagreb, Croatia
Juraj Jug orcid id orcid.org/0000-0002-3189-1518 ; Health Care Center Zagreb-West, Zagreb, Croatia
Maja Sirovica orcid id orcid.org/0000-0002-4751-0513 ; University of Zagreb, School of Medicine, Zagreb, Croatia
Martina Matovinović orcid id orcid.org/0000-0002-6325-7394 ; University Hospital Centre Zagreb, Zagreb, Croatia
Martina Lovrić Benčić orcid id orcid.org/0000-0001-8446-6120 ; University of Zagreb, School of Medicine, Zagreb, Croatia


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Abstract

Keywords

obesity; prevention; risk stratification

Hrčak ID:

287718

URI

https://hrcak.srce.hr/287718

Publication date:

8.12.2022.

Visits: 489 *



Goal: To check the differences between A Body Shape Index (ABSI), recently proposed as a better mortality risk stratification tool, and alternative indices Systematic COronary Risk Evaluation2 algorithm (SCORE2) and Atherosclerotic Cardiovascular Disease Risk Score (ASCVD). (1-3)

Patients and Methods: In this cross-sectional study, 132 obese patients (24 male, 109 female, average age 46 years; body mass index 40.65kg/m2) treated at the Division of Endocrinology at University Hospital Center Zagreb were included. ABSI was calculated with the proposed formula created by Bertoli et al. [waist circumference/(BMI2/3 *height1/2)]. ABSI z score was calculated from ABSI, gender, and age of each patient. Atherosclerotic cardiovascular risk was calculated using the ASCVD score and SCORE2. General laboratory and anthropometric parameters were checked in all patients. Spearman’s correlation, one-way ANOVA, and descriptive statistics were used in Statistica v.12.

Results: There were no differences between genders. Although a significant correlation between SCORE2 and ASCVD risk was found (r=0.873; p<0.001), there was no correlation between them and ABSI or ABSI z score (r=0.152; p=NS). SCORE2 and ASCVD risk were higher in patients with higher BMI (r=0.761; p<0.001), higher blood pressure (r=0.446; p<0.01), lower HDL (r=-0.346; p<0.05), lower glomerular filtration rate [CKD-EPI] (r=-0.268; p<0.05), but no significant correlation was found between ABSI, or ABSI z, between any observed parameter except BMI (r=-0.367; p<0.01). One-way ANOVA on five risk groups created according to the ABSI z score did not show any connection between higher-risk groups and observed parameters.

Conclusion: In this study ABSI and ABSI z scores did not show any connection with alternative indices (SCORE2 and ASCVD risk) and observed laboratory and anthropometric parameters. Accordingly, risk stratification significantly differs between ABSI and alternative indices. More extensive multicentric studies are needed to check these findings.

LITERATURE

1 

Christakoudi S, Tsilidis KK, Muller DC, Freisling H, Weiderpass E, Overvad K, et al. A Body Shape Index (ABSI) achieves better mortality risk stratification than alternative indices of abdominal obesity: results from a large European cohort. Sci Rep. 2020 September 3;10(1):14541. https://doi.org/10.1038/s41598-020-71302-5 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/32883969

2 

Krakauer NY, Krakauer JC. A new body shape index predicts mortality hazard independently of body mass index. PLoS One. 2012;7(7):e39504. https://doi.org/10.1371/journal.pone.0039504 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/22815707

3 

Bertoli S, Leone A, Krakauer NY, Bedogni G, Vanzulli A, Redaelli VI, et al. Association of Body Shape Index (ABSI) with cardio-metabolic risk factors: A cross-sectional study of 6081 Caucasian adults. PLoS One. 2017 September 25;12(9):e0185013. https://doi.org/10.1371/journal.pone.0185013 PubMed: http://www.ncbi.nlm.nih.gov/pubmed/28945809


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