A 'Burning Point' Is Found Before the Composite End Point Event Happened in Critically Ill Patients with COVID-19: A Multicenter Retrospective Study

2020 ◽  
Author(s):  
Mei Zhou ◽  
Juanjuan Xu ◽  
Xingjie Hao ◽  
Xueyun Tan ◽  
Zhihui Wang ◽  
...  
2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
S Saluja ◽  
H Contractor ◽  
M Daniells ◽  
J Sobolewska ◽  
K Khan ◽  
...  

Abstract Background There is existing evidence to suggest a correlation between coronary artery calcification (CAC) measured using ECG-triggered chest computed tomography and cardiovascular disease. Further evidence has emerged to suggest a correlation between CAC measured using non-gated CT scans and cardiovascular disease. Herein, we sought to ascertain the utility of incidental findings of CAC on non-triggered high resolution CT (HRCT) thorax used for patients undergoing lung cancer screening or follow-up for interstitial lung disease and Framingham risk score (FRS) in predicting cardiovascular events. Methods The Computerised Radiology Information Service (CRIS) database was manually searched to determine all HRCT scans performed in a single trust from 05/2015 to 05/2016. The reports issued by Radiologists and images of selected studies were reviewed. For patients with CAC, we calculated the calcium score for patients using the Agatston method. Clinical events were determined from the electronic medical record without knowledge of patients' CAC findings. For these patients, the Framingham Risk Score (FRS) was also calculated. The primary end point of the study was composite of all-cause mortality and cardiac events (non-fatal myocardial infarction, coronary revascularization, new atrial fibrillation or heart failure episode requiring hospitalization). Results We selected 300 scans from a total of approximately 2000 scans performed over this time. Data at follow up was available for 100% of the patients, with a median duration of follow up of 1.6 years. Moderate to severe CAC was found in 35% of people. Multivariable analysis showed good concordance between CAC and FRS in predicting composite clinical end point. The Odds Ratio for cardiac events in patients with moderate to severe CAC was 5.3 (p<0.01) and for composite clinical end point was 3.4 (p<0.01). This is similar to the OR predicted by the FRS: 4.8; p<0.01 and 3.1; p<0.01 respectively. Only 6.2% of patients with moderate to severe CAC were currently statin treated. Conclusion In this retrospective study of patients with respiratory disease attending for HRCT scanning, co-incidentally detected CAC predicts cardiac events, with good concordance with the FRS. The incidental finding of CAC on non-gated CT scanning should be reported with Agatston score calculation allowing consideration of intervention to mitigate cardiovascular risk and optimize. Further multi-centre prospective studies of this strategy, with a larger patient cohort should be conducted to clarify the utility of CAC as a prediction tool to modify cardiac risk. Funding Acknowledgement Type of funding source: None


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
Y T Wang ◽  
W H Song ◽  
Y J Wu ◽  
P Zhang

Abstract Background Coronary artery ectasia (CAE) bears high risk of death and myocardial infarction. Risk stratification in CAE patients is crucial for their management, but there were no risk score systems intended for risk evaluation of CAE patients so far. Methods In a retrospective cohort of 595 patients with CAE, we collected the baseline characteristics (clinical history, biomarkers and quantitative coronary angiography variables). Follow-up were conducted and the end-point event was the composite of all-cause death and non-fatal myocardial infarction. The candidate predictors of end-point event were analyzed using Cox proportional hazards regression models to derive a risk score in the form of nomogram. The predictive performance and discriminative ability of the novel nomogram were determined by concordance index (C-index) and calibration curve, that were validated internally. Risk stratification by nomogram-predicted risk score was further evaluated. Results During a median follow-up time of 62.3 months, 26 all-cause deaths and 37 non-fatal myocardial infarctions were identified. The final risk-prediction model named ABCD-CAE score included four items: age (A), Brain natriuretic peptide (B), high sensitivity C-reactive protein (C) and maximum Dilated area of ectatic lesions (D). The nomogram yielded a C-index for end-point event of 0.72 (95% confidence interval, 0.64 - 0.79). The calibration curve demonstrated that there is good agreement between prediction by nomogram and actual observation of end-point events. Compared with the low-risk group (score ≤100), the risk of composite events was significantly increased in the intermediate-risk group (score: 100–130) and high-risk group (score >130) [hazard ratio (95% confidence interval): 2.23 (1.23–4.06), P=0.008 and 7.02 (3.81–12.97), P<0.001 respectively]. ABCD-CAE nomogram for risk prediction Conclusions The ABCD-CAE score is a simple four-item risk score, that provides a clinically useful tool for the risk prediction of all-cause death and myocardial infarction in patients with CAE. This user-friendly tool might support clinical decision making for the management of CAE.


2020 ◽  
Vol 47 (6) ◽  
pp. 855.e3
Author(s):  
C. Cannarozzo ◽  
P. Kirch ◽  
L. Campoy ◽  
R. Gleed ◽  
M. Martin-Flores
Keyword(s):  

2018 ◽  
Vol 24 ◽  
pp. 249
Author(s):  
David Broome ◽  
Gauri Bhuchar ◽  
Ehsan Fayazzadeh ◽  
James Bena ◽  
Christian Nasr

2006 ◽  
Vol 12 ◽  
pp. 65
Author(s):  
Ghasak Mahmood ◽  
Sylvia J. Shaw ◽  
Yaga Szlachick ◽  
Rod Atkins ◽  
Stefan Bughi

1998 ◽  
Vol 30 (6) ◽  
pp. 573-577 ◽  
Author(s):  
Lauritz B. Dahl ◽  
Anne-Lise Høyland ◽  
Harald Dramsdahl ◽  
Per Ivar Kaaresen

Author(s):  
Lionel Piroth ◽  
Andre Pechinot ◽  
Anne Minello ◽  
Benoit Jaulhac ◽  
Isabelle Patry ◽  
...  

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