Abstract 15728: Machine Learning Helps Predict Short and Intermediate-term Risk for All Cause Mortality in Patients Undergoing Percutaneous Coronary Intervention

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Pradyumna Agasthi ◽  
Hasan Ashraf ◽  
Chieh-Ju Chao ◽  
Panwen Wang ◽  
Mohamed Allam ◽  
...  
Keyword(s):  
Machine Learning ◽  
Myocardial Infarction ◽  
Percutaneous Coronary Intervention ◽  
Coronary Intervention ◽  
Machine Learning Algorithms ◽  
St Elevation Myocardial Infarction ◽  
Percutaneous Coronary ◽  
All Cause Mortality ◽  
St Elevation ◽  
Clinical Records

Background: Identifying patients at a high risk of mortality post percutaneous coronary intervention (PCI) is of vital clinical importance. We investigated the utility of machine learning algorithms to predict short and intermediate-term risk of all-cause mortality in patients undergoing PCI. Methods: Patient-level demographics, clinical, electrocardiographic ,echocardiographic and angiographic data from January 2006 to December 2017 were extracted from the Mayo Clinic CathPCI registry and clinical records. For patients with multiple PCI events, data collected at the time of the index PCI was used for analysis. Patients who underwent bailout coronary artery bypass graft surgery (CABG) prior to discharge were excluded. 306 variables were incorporated into random forest machine learning model (RF) to predict all-cause mortality at 6 months and 1 year after PCI. Ten-fold cross-validation repeated five times was used to optimize the hyperparameters and estimate its external performance. The National Cardiovascular Data Registry (NCDR) based logistic regression model was used for comparison. The area under receiver operator characteristic curves (AUC) was calculated to assess the ability of the models to predict all-cause mortality. Results: A total of 17356 unique patients were included for the final analysis after excluding 165 patients who underwent CABG surgery during the index hospitalization. The mean age was 66.9 ± 12.5 years;71% were male. Indications for PCI were ST-elevation myocardial infarction (9.4%), non-ST elevation myocardial infarction (12.9%), unstable angina (17.7%), and stable angina (52.8%) in the cohort. In-hospital, 6-month & 1 year mortality rates were 1.9%,4.2% & 5.8% respectively. The RF model was superior to the NCDR model in predicting inhospital, 6-month, 1 year mortality (p<0.0001) ( Figure 1 ). Conclusion: Machine learning is superior to NCDR model in predicting short and intermediate risk of all-cause mortality post PCI.

scholarly journals Prehospital triage and direct transport of patients with ST-elevation myocardial infarction to primary percutaneous coronary intervention centres: a systematic review and meta-analysis

CJEM ◽  
2009 ◽  
Vol 11 (05) ◽  
pp. 481-492 ◽  
Author(s):  
Steven C. Brooks ◽  
Katherine S. Allan ◽  
Michelle Welsford ◽  
P. Richard Verbeek ◽  
Hans-Richard Arntz ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Percutaneous Coronary Intervention ◽  
Coronary Intervention ◽  
St Elevation Myocardial Infarction ◽  
Control Group ◽  
Primary Pci ◽  
Care Providers ◽  
Percutaneous Coronary ◽  
All Cause Mortality ◽  
St Elevation

ABSTRACT Objective: Percutaneous coronary intervention (PCI) appears to be superior to in-hospital fibrinolysis for most patients with ST-elevation myocardial infarction (STEMI). However, few hospitals have PCI capability. The optimal prehospital strategy for facilitating rapid coronary reperfusion in STEMI patients is unclear. We sought to determine whether direct transport of adult STEMI patients by emergency medical services to primary PCI centres improves 30-day all-cause mortality when compared with a strategy of transportation to the closest hospital. Methods: We systematically searched MEDLINE, EMBASE, Cochrane “CENTRAL” database (1980-July 2007) and several other electronic databases. Two authors independently assessed citations for relevance. Two authors independently abstracted data from included studies. We included studies that, 1) transported patients directly to a PCI-capable centre for primary PCI, 2) had a control group that was transported to the closest hospital and 3) reported outcomes of treatment time intervals, all-cause mortality, reinfarction rate, stroke rate or the frequency of cardiogenic shock. We used a random effects model to provide pooled estimates of relative risk (RR) when data allowed. Results: We identified 2264 citations with the search. Five studies, including 980 STEMI patients, met inclusion criteria, and were clinically heterogeneous and of variable quality. Most studies were European (3/5) and involved physician out-of-hospital care providers. There was a trend toward increased survival with direct transport to primary PCI but this was not statistically significant (RR 0.51, 95% confidence interval [CI] 0.24–1.10). One study reported nonsignificant reductions in reinfarction (RR 0.43, 95% CI 0.11–1.60) and stroke (RR 0.33, 95% CI 0.01–8.06) with direct transport for primary PCI. Conclusion: There is insufficient evidence to support the effectiveness of direct transport of patients with STEMI for primary PCI when compared with transportation to the closest hospital.

Optimum Therapies for ST-Elevation Myocardial Infarction Managed with Primary Percutaneous Coronary Intervention

2012 ◽  
Vol 7 (2) ◽  
pp. 81
Author(s):  
Bruce R Brodie ◽  
Keyword(s):  
Myocardial Infarction ◽  
Percutaneous Coronary Intervention ◽  
Primary Percutaneous Coronary Intervention ◽  
Great Majority ◽  
Coronary Intervention ◽  
St Elevation Myocardial Infarction ◽  
Stent Deployment ◽  
Aspiration Thrombectomy ◽  
Percutaneous Coronary ◽  
St Elevation

This article reviews optimum therapies for the management of ST-elevation myocardial infarction (STEMI) with primary percutaneous coronary intervention (PCI). Optimum anti-thrombotic therapy includes aspirin, bivalirudin and the new anti-platelet agents prasugrel or ticagrelor. Stent thrombosis (ST) has been a major concern but can be reduced by achieving optimal stent deployment, use of prasugrel or ticagrelor, selective use of drug-eluting stents (DES) and use of new generation DES. Large thrombus burden is often associated poor outcomes. Patients with moderate to large thrombus should be managed with aspiration thrombectomy and patients with giant thrombus should be treated with glycoprotein IIb/IIIa inhibitors and may require rheolytic thrombectomy. The great majority of STEMI patients presenting at non-PCI hospitals can best be managed with transfer for primary PCI even with substantial delays. A small group of patients who present very early, who are at high clinical risk and have long delays to PCI, may best be treated with a pharmaco-invasive strategy.

Risk factors of coronary microvascular obstruction (Preprint)

2020 ◽  
Author(s):  
Yong Li ◽  
Shuzheng Lyu
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Percutaneous Coronary Intervention ◽  
Logistic Regression ◽  
Microvascular Obstruction ◽  
Coronary Intervention ◽  
St Elevation Myocardial Infarction ◽  
Neutrophil Percentage ◽  
Percutaneous Coronary ◽  
St Elevation

BACKGROUND Coronary microvascular obstruction /no-reflow(CMVO/NR) is a predictor of long-term mortality in survivors of ST elevation myocardial infarction (STEMI) underwent primary percutaneous coronary intervention (PPCI). OBJECTIVE To identify risk factors of CMVO/NR. METHODS Totally 2384 STEMI patients treated with PPCI were divided into two groups according to thrombolysis in myocardial infarction(TIMI) flow grade:CMVO/NR group(246cases,TIMI 0-2 grade) and control group(2138 cases,TIMI 3 grade). We used univariable and multivariable logistic regression to identify risk factors of CMVO/NR. RESULTS A frequency of CMVO/NR was 10.3%(246/2384). Logistic regression analysis showed that the differences between the two groups in age(unadjusted odds ratios [OR] 1.032; 95% CI, 1.02 to 1.045; adjusted OR 1.032; 95% CI, 1.02 to 1.046 ; P <0.001), periprocedural bradycardia (unadjusted OR 2.357 ; 95% CI, 1.752 to 3.171; adjusted OR1.818; 95% CI, 1.338 to 2.471 ; P <0.001),using thrombus aspirationdevices during operation (unadjusted OR 2.489 ; 95% CI, 1.815 to 3.414; adjusted OR1.835; 95% CI, 1.291 to 2.606 ; P =0.001),neutrophil percentage (unadjusted OR 1.028 ; 95% CI, 1.014 to 1.042; adjusted OR1.022; 95% CI, 1.008 to 1.036 ; P =0.002) , and completely block of culprit vessel (unadjusted OR 2.626; 95% CI, 1.85 to 3.728; adjusted-OR 1.656;95% CI, 1.119 to 2.45; P =0.012) were statistically significant ( P <0. 05). The area under the receiver operating characteristic curve was 0.6896 . CONCLUSIONS Age , periprocedural bradycardia, using thrombus aspirationdevices during operation, neutrophil percentage ,and completely block of culprit vessel may be independent risk factors for predicting CMVO/NR. We registered this study with WHO International Clinical Trials Registry Platform (ICTRP) (registration number: ChiCTR1900023213; registered date: 16 May 2019).http://www.chictr.org.cn/edit.aspx?pid=39057&htm=4. Key Words: Coronary disease ST elevation myocardial infarction No-reflow phenomenon Percutaneous coronary intervention

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