Development of a novel tool: a nomogram for predicting in-hospital mortality of patients in intensive care unit after percutaneous coronary intervention

[1]  S. Maltês,et al.  Cardiovascular disease in an intensive care unit: patterns of an often fatal omen , 2021, European Heart Journal.

[2]  S. Normand,et al.  Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction. , 2021, JAMA cardiology.

[3]  Xiaodong Zhou,et al.  A Nomogram Based on Lactate to Predict Major Adverse Cardiovascular Events for Acute Coronary Syndrome after Percutaneous Coronary Intervention , 2021 .

[4]  Zhiqin Sun,et al.  Nomograms based on pre-operative parametric for prediction of short-term mortality in acute myocardial infarction patients treated invasively , 2020, Aging.

[5]  M. Salifu,et al.  Non-Obstructive Coronary Artery Disease in Women: Current Evidence and Future Directions , 2020, International journal of clinical research & trials.

[6]  S. Ha,et al.  Predictors of survival following veno-arterial extracorporeal membrane oxygenation in patients with acute myocardial infarction-related refractory cardiogenic shock: clinical and coronary angiographic factors , 2020, Journal of thoracic disease.

[7]  R. Dreyer,et al.  Sex-Based Differences in Presentation, Treatment, and Complications Among Older Adults Hospitalized for Acute Myocardial Infarction: The SILVER-AMI Study. , 2019, Circulation. Cardiovascular quality and outcomes.

[8]  Yanbo Wang,et al.  Development and Validation of Risk Nomogram Model Predicting Coronary Microvascular Obstruction in Patients with ST-Segment Elevation Myocardial Infarction (STEMI) Undergoing Primary Percutaneous Catheterization , 2019, Medical science monitor : international medical journal of experimental and clinical research.

[9]  C. Murray,et al.  Burden of disease in Brazil, 1990–2016: a systematic subnational analysis for the Global Burden of Disease Study 2016 , 2018, The Lancet.

[10]  Jing Zhang,et al.  A radiomics nomogram for preoperative prediction of microvascular invasion risk in hepatitis B virus-related hepatocellular carcinoma. , 2018, Diagnostic and interventional radiology.

[11]  Stephen S. Lim,et al.  Population health and regional variations of disease burden in Japan, 1990–2015: a systematic subnational analysis for the Global Burden of Disease Study 2015 , 2017, The Lancet.

[12]  Peter Szolovits,et al.  MIMIC-III, a freely accessible critical care database , 2016, Scientific Data.

[13]  Alan D. Lopez,et al.  Cause-specific mortality for 240 causes in China during 1990–2013: a systematic subnational analysis for the Global Burden of Disease Study 2013 , 2016, The Lancet.

[14]  K. Kent,et al.  Nomogram to Predict Postoperative Readmission in Patients Who Undergo General Surgery. , 2015, JAMA surgery.

[15]  Mithat Gonen,et al.  Nomograms in oncology: more than meets the eye. , 2015, The Lancet. Oncology.

[16]  L. Cheskin,et al.  Sex differences in short-term and long-term all-cause mortality among patients with ST-segment elevation myocardial infarction treated by primary percutaneous intervention: a meta-analysis. , 2014, JAMA internal medicine.

[17]  Neel M. Butala,et al.  Sex Differences in Long-Term Mortality After Myocardial Infarction: A Systematic Review , 2014, Circulation.

[18]  Xiao-ming Shang,et al.  Analysis of factors related to short-term prognosis in patients undergoing percutaneous coronary intervention for acute myocardial infarction , 2013, Experimental and therapeutic medicine.

[19]  Sean M. O'Brien,et al.  Prediction of Long-Term Mortality After Percutaneous Coronary Intervention in Older Adults: Results From the National Cardiovascular Data Registry , 2012, Circulation.

[20]  S. Jaber,et al.  Severe metabolic or mixed acidemia on intensive care unit admission: incidence, prognosis and administration of buffer therapy. a prospective, multiple-center study , 2011, Critical care.

[21]  C. Terkelsen,et al.  System delay and mortality among patients with STEMI treated with primary percutaneous coronary intervention. , 2010, JAMA.

[22]  J. Hartikainen,et al.  Reperfusion therapy for ST elevation acute myocardial infarction in Europe: description of the current situation in 30 countries , 2009, European heart journal.

[23]  Sunil V. Rao,et al.  Impact of bleeding complications on outcomes after percutaneous coronary interventions , 2009 .

[24]  Elena B. Elkin,et al.  Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers , 2008, BMC Medical Informatics Decis. Mak..

[25]  M. Pencina,et al.  General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study , 2008, Circulation.

[26]  S. Wiviott.  Optimal medical therapy with or without PCI for stable coronary artery disease , 2007 .

[27]  G. Wagner,et al.  Peak CKMB and cTnT accurately estimates myocardial infarct size after reperfusion , 2007, Scandinavian cardiovascular journal : SCJ.

[28]  H. Bøtker,et al.  Comparison of sirolimus-eluting and bare metal stents in coronary bifurcation lesions: subgroup analysis of the Stenting Coronary Arteries in Non-Stress/Benestent Disease Trial (SCANDSTENT). , 2006, American heart journal.

[29]  F. Van de Werf,et al.  Intervention in acute coronary syndromes: do patients undergo intervention on the basis of their risk characteristics? The Global Registry of Acute Coronary Events (GRACE) , 2005, Heart.

[30]  Jong Chun Park,et al.  Predictive factors of major adverse cardiac events in acute myocardial infarction patients complicated by cardiogenic shock undergoing primary percutaneous coronary intervention. , 2005, Circulation journal : official journal of the Japanese Circulation Society.

[31]  S. Silber,et al.  Randomized Study to Assess the Effectiveness of Slow- and Moderate-Release Polymer-Based Paclitaxel-Eluting Stents for Coronary Artery Lesions , 2003, Circulation.

[32]  K. Kent,et al.  Percutaneous coronary intervention‐associated nephropathy foreshadows increased risk of late adverse events in patients with normal baseline serum creatinine , 2003, Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions.

[33]  E. Antman,et al.  TIMI Risk Score for ST-Elevation Myocardial Infarction: A Convenient, Bedside, Clinical Score for Risk Assessment at Presentation: An Intravenous nPA for Treatment of Infarcting Myocardium Early II Trial Substudy , 2000, Circulation.

[34]  N. Tryding,et al.  Increased CKMB (mass concentration) in patients without traditional evidence of acute myocardial infarction. A risk indicator of coronary death. , 1992, European heart journal.

[35]  P. Serruys,et al.  Prediction of 1-year clinical outcomes using the SYNTAX score in patients with acute ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention: a substudy of the STRATEGY (Single High-Dose Bolus Tirofiban and Sirolimus-Eluting Stent Versus Abciximab and Bare-Me , 2011, JACC. Cardiovascular interventions.

[36]  Pan Yi-zhi.  Predictive Value of WBC Count on In-Hospital MACE in Patients Underwent Primary PCI , 2007 .

[37]  Hilde van der Togt,et al.  Publisher's Note , 2003, J. Netw. Comput. Appl..

[38]  Ousa,et al.  A RANDOMIZED COMPARISON OF A SIROLIMUS-ELUTING STENT WITH A STANDARD STENT FOR CORONARY REVASCULARIZATION , 2002 .

[39]  C. Steiner,et al.  Comorbidity measures for use with administrative data. , 1998, Medical care.

[40]  R. Tibshirani.  Regression Shrinkage and Selection via the Lasso , 1996 .