Risk assessment of mortality for all-cause, ischemic heart disease, cardiopulmonary disease, and lung cancer due to the operation of the world's largest coal-fired power plant

2014 ◽  
Vol 96 ◽  
pp. 117-124 ◽  
Author(s):  
Pei-Hsuan Kuo ◽  
Ben-Jei Tsuang ◽  
Chien-Jen Chen ◽  
Suh-Woan Hu ◽  
Chun-Ju Chiang ◽  
...  
2021 ◽  
Author(s):  
Juan M Zambrano Chaves ◽  
Akshay S Chaudhari ◽  
Andrew L Wentland ◽  
Arjun D Desai ◽  
Imon Banerjee ◽  
...  

AbstractCurrent risk scores for predicting ischemic heart disease (IHD) risk—the leading cause of global mortality—have limited efficacy. While body composition (BC) imaging biomarkers derived from abdominopelvic computed tomography (CT) correlate with IHD risk, they are impractical to measure manually. Here, in a retrospective cohort of 8,197 contrast-enhanced abdominopelvic CT examinations undergoing up to 5 years of follow-up, we developed improved multimodal opportunistic risk assessment models for IHD by automatically extracting BC features from abdominal CT images and integrating these with features from each patient’s electronic medical record (EMR). Our predictive methods match and, in some cases, outperform clinical risk scores currently used in IHD risk assessment. We provide clinical interpretability of our model using a new method of determining tissue-level contributions from CT along with weightings of EMR features contributing to IHD risk. We conclude that such a multimodal approach, which automatically integrates BC biomarkers and EMR data can enhance IHD risk assessment and aid primary prevention efforts for IHD.


2017 ◽  
Vol 194 (3) ◽  
pp. 273-274
Author(s):  
Stefanie Corradini ◽  
Hendrik Ballhausen ◽  
Helmut Weingandt ◽  
Philipp Freislederer ◽  
Stephan Schönecker ◽  
...  

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