Living Address Environmental Biotope Affects the Risk of Coronary Obstruction and Myocardial Ischemia Detected by Coronary Computed Tomography
Abstract Body (Do not enter title and authors here): Background: Several studies reported positive associations between air and noise pollution exposure and coronary artery calcification, but environmental effects on coronary obstruction and flow remain largely unknown. Hypothesis: Distance to road and airport, air pollution, and residential green space are linked to coronary artery obstruction and myocardial ischemia. Low CV-risk patients develop coronary obstruction due to environmental factors, while high-risk patients are more prone to develop myocardial ischemia. Methods: Consecutive patients screened by coronary CT angiography for stable chest pain between 01/01/2019 and 31/12/2020 were included in a registry. Distance to airport and major road, and exposure to PM2.5, NO2 and normalized difference vegetation index (NDVI) were modelled at patients’ living address. Risk of obstructive coronary artery disease (OCAD, stenosis ≥50%) and abnormal fractional flow reserve (FFRCT <80%) was assessed using propensity score (PS)-adjusted logistic regression. Subgroup analysis was performed according to gender and Framingham CV-risk categories. Results: We enrolled 2620 patients, including 420 (16%) FFRCT analyses. OCAD was reported in 518 (20%) patients and abnormal FFRCT in 276 (11%). People with OCAD lived closer to the airport (10.841 [7.869-19.022] km vs. 12.297 [8.691-22.843] km, p<0.001). Distance to airport decreased OCAD risk (OR 0.983, 95%CI 0.974-0.992, per 1 km) in univariate analysis, with the association present in male, female, and low-risk patients. After PS-adjustment, a trend of association was present between airport distance and abnormal FFRCT risk (OR 0.986, 95%CI 0.969-1.003, per 1 km). Road distance tended to decrease OCAD risk in univariate and PS-adjusted analysis, in the general (OR 0.928, 95%CI 0.808-1.309; and OR 0.928, 95%CI 0.840-1.021, per 1 km) and high-risk population. NO2 exposure tended to increase OCAD risk in univariate analysis (OR 1.012, 95%CI 0.997-1.027, per 1 µg/m3), with the association only present in female patients, and disappearance after PS-adjustment. PM2.5 exposure showed no associations, while NDVI tended to increase OCAD risk in low-risk patients after PS-adjustment. Conclusion: Residential distance to airport is the major risk component compared to other urban exposome factors studied in this epidemiological observation. Green space tends to exert a cardioprotective effect in low-risk patients, whereas living close to major road worsens the risk in high-risk patients
De Potter, Tom
( UZ Brussel
, Brussels
, Belgium
)
Nawrot, Tim
( University of Leuven
, Leuven
, Belgium
)
Claeys, Marc
( Antwerp University Hospital
, Zwijndrecht
, Belgium
)
Cosyns, Bernard
( UZ Brussel
, Brussels
, Belgium
)
Argacha, François
( UZ Brussel
, Brussels
, Belgium
)
Motoc, Andreea
( UZ Brussel
, Brussels
, Belgium
)
Verachtert, Els
( VITO - Flemish Institute for Technological Research
, Mol
, Belgium
)
Koppen, Gudrun
( VITO - Flemish Institute for Technological Research
, Mol
, Belgium
)
Hooyberghs, Hans
( VITO - Flemish Institute for Technological Research
, Mol
, Belgium
)
Tanaka, Kaoru
( UZ Brussel
, Brussels
, Belgium
)
Belsack, Dries
( UZ Brussel
, Brussels
, Belgium
)
Fierens, Frans
( IRCEL-CELINE - Belgian Interregional Environment Agency
, Brussels
, Belgium
)
Tsugu, Toshimitsu
( UZ Brussel
, Brussels
, Belgium
)
Author Disclosures:
Tom De Potter:DO NOT have relevant financial relationships
| Tim Nawrot:No Answer
| Marc CLAEYS:No Answer
| Bernard Cosyns:DO NOT have relevant financial relationships
| François Argacha:No Answer
| Andreea Motoc:DO NOT have relevant financial relationships
| Els Verachtert:DO NOT have relevant financial relationships
| Gudrun Koppen:No Answer
| Hans Hooyberghs:No Answer
| Kaoru Tanaka:No Answer
| Dries Belsack:DO NOT have relevant financial relationships
| frans fierens:No Answer
| Toshimitsu Tsugu:DO NOT have relevant financial relationships