1.3 PREDICTION OF CARDIOVASCULAR MORTALITY AND MORBIDITY IN THE MALMö DIET-CANCER COHORT FOR THE IDENTIFICATION OF HEALTHY VASCULAR AGEING, USING MARKERS OF VASCULAR STATUS

Benjamin Nilsson Wadström; Peter Nilsson; Abd Al-Hakim Fatehali; Gunnar Engstrom

doi:10.1016/j.artres.2018.10.020

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Volume 24, Issue C, December 2018, Pages 67 - 68

1.3 PREDICTION OF CARDIOVASCULAR MORTALITY AND MORBIDITY IN THE MALMö DIET-CANCER COHORT FOR THE IDENTIFICATION OF HEALTHY VASCULAR AGEING, USING MARKERS OF VASCULAR STATUS

Authors

Benjamin Nilsson Wadström¹, Peter Nilsson², Abd Al-Hakim Fatehali¹, Gunnar Engstrom¹

¹Lund University, Department of Clinical Sciences, Skane University Hospital, Malmö, Sweden

²Lund University, Department of Clinical Sciences, Skane University Hospital, Jan Waldenstroms gata 15, Level 5, S-20502, Malmö, Sweden

Available Online 4 December 2018.

DOI: 10.1016/j.artres.2018.10.020 How to use a DOI?
Abstract: Background: This study aims to translate two arterial measurements, aortic Pulse Wave Velocity (aPWV) and carotid Intima-Media Thickness (cIMT), into a combined Vascular Ageing Index (VAI), to evaluate the predictive power of VAI and utilize it to identify a sub-group with Healthy Vascular Ageing (HVA).

Methods: In all, 2718 subjects were included from the CV arm of the Malmö Diet Cancer study (median age 72 years, 62.2% females). Median follow-up for CV events (N = 269) was 6.5 years. VAI was created by a function that combined aPWV and cIMT. Cox regressions for aPWV, cIMT and VAI, adjusted for conventional CV risk factors, were carried out. aPWV and cIMT were mutually adjusted for while VAI was analyzed separately. Model improvements for a model of conventional CV risk factors were assessed using Harrell’s c-statistic and continuous Net Reclassification Index (NRI).

Results: Cox regression Results: (fully adjusted model): 1 SD of log-(aPWV), HR: 1.22 (95% CI: 1.03–1.42, P = 0.010), 1 SD of log (cIMT), HR: 1.29 (95% CI: 1.13–1.47, P < 0.001), 1 SD of log-VAI, HR: 1.43 (95% CI: 1.22–1.68, P < 0.001) (Figure 1). C-statistics: 0.715 (conventional risk factor model), 0.721 (+aPWV), 0.734 (+aPWV and cIMT) and 0.732 (+VAI). NRI showed a significant (P < 0.001) improvement for classification of event-free subjects when adding aPWV and cIMT or VAI.

Conclusion: VAI added marginally to prediction of CV events. However, the classification of subjects who remained free from CV events was significantly improved.
Open Access: This is an open access article distributed under the CC BY-NC license.

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Journal: Artery Research
Volume-Issue: 24 - C
Pages: 67 - 68
Publication Date: 2018/12/04
ISSN (Online): 1876-4401
ISSN (Print): 1872-9312
DOI: 10.1016/j.artres.2018.10.020 How to use a DOI?
Open Access: This is an open access article distributed under the CC BY-NC license.

Cite this article

ris enw bib

TY  - JOUR
AU  - Benjamin Nilsson Wadström
AU  - Peter Nilsson
AU  - Abd Al-Hakim Fatehali
AU  - Gunnar Engstrom
PY  - 2018
DA  - 2018/12/04
TI  - 1.3 PREDICTION OF CARDIOVASCULAR MORTALITY AND MORBIDITY IN THE MALMö DIET-CANCER COHORT FOR THE IDENTIFICATION OF HEALTHY VASCULAR AGEING, USING MARKERS OF VASCULAR STATUS
JO  - Artery Research
SP  - 67
EP  - 68
VL  - 24
IS  - C
SN  - 1876-4401
UR  - https://doi.org/10.1016/j.artres.2018.10.020
DO  - 10.1016/j.artres.2018.10.020
ID  - NilssonWadström2018
ER  -

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