Association of Left Ventricular Ejection Fraction and Symptoms With Mortality After Elective Noncardiac Surgery Among Patients With Heart Failure
暂无分享,去创建一个
Paul A. Heidenreich | Themistocles L. Assimes | Sherry M. Wren | T. Assimes | P. Heidenreich | S. Wren | Benjamin J. Lerman | R. Popat | Rita A. Popat | B. Lerman
[1] F. McAlister,et al. Mortality and Readmission of Patients With Heart Failure, Atrial Fibrillation, or Coronary Artery Disease Undergoing Noncardiac Surgery: An Analysis of 38 047 Patients , 2011, Circulation.
[2] C. Phillips,et al. Outcomes of patients with stable heart failure undergoing elective noncardiac surgery. , 2008, Mayo Clinic proceedings.
[3] Scott L. DuVall,et al. Unlocking echocardiogram measurements for heart disease research through natural language processing , 2017, BMC Cardiovascular Disorders.
[4] D. Berlowitz,et al. Identifying Hypertension-Related Comorbidities From Administrative Data: What's the Optimal Approach? , 2004, American journal of medical quality : the official journal of the American College of Medical Quality.
[5] C. Ko,et al. Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons. , 2013, Journal of the American College of Surgeons.
[6] Jeroen J. Bax,et al. Prognostic Implications of Asymptomatic Left Ventricular Dysfunction in Patients Undergoing Vascular Surgery , 2010, Anesthesiology.
[7] J. Aviña-Zubieta,et al. Validity of Heart Failure Diagnoses in Administrative Databases: A Systematic Review and Meta-Analysis , 2014, PloS one.
[8] S. Blecker,et al. Racial and Ethnic Differences in Heart Failure Readmissions and Mortality in a Large Municipal Healthcare System. , 2016, JACC. Heart failure.
[9] F. McAlister,et al. Neither diabetes nor glucose-lowering drugs are associated with mortality after noncardiac surgery in patients with coronary artery disease or heart failure. , 2013, The Canadian journal of cardiology.
[10] Mary K Goldstein,et al. Accuracy of computerized outpatient diagnoses in a Veterans Affairs general medicine clinic. , 2002, The American journal of managed care.
[11] Maya B. Mathur,et al. Web Site and R Package for Computing E-values. , 2018, Epidemiology.
[12] C. O'connor,et al. Impact of Heart Failure on Patients Undergoing Major Noncardiac Surgery , 2008, Anesthesiology.
[13] R. Depalma,et al. Determinants of Long-Term Survival After Major Surgery and the Adverse Effect of Postoperative Complications , 2005, Annals of surgery.
[14] P. Stetson,et al. Perioperative outcome and long-term mortality for heart failure patients undergoing intermediate- and high-risk noncardiac surgery: impact of left ventricular ejection fraction. , 2010, Congestive Heart Failure.
[15] Florence E. Turrentine,et al. Congestive Heart Failure and Noncardiac Operations: Risk of Serious Morbidity, Readmission, Reoperation, and Mortality. , 2016, Journal of the American College of Surgeons.
[16] Tyler J. VanderWeele,et al. Using the E-Value to Assess the Potential Effect of Unmeasured Confounding in Observational Studies , 2019, JAMA.
[17] M. Fornage,et al. Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association , 2017, Circulation.
[18] C. O'connor,et al. Outcomes in heart failure patients after major noncardiac surgery. , 2004, Journal of the American College of Cardiology.
[19] Robert N. Doughty,et al. The survival of patients with heart failure with preserved or reduced left ventricular ejection fraction: an individual patient data meta-analysis. , 2011, European heart journal.
[20] K. Tremper,et al. Worsening Preoperative Heart Failure Is Associated with Mortality and Noncardiac Complications, But Not Myocardial Infarction After Noncardiac Surgery: A Retrospective Cohort Study , 2014, Anesthesia and analgesia.
[21] V. Boddi,et al. Comparison of different methods of functional evaluation in patients with chronic heart failure , 2000, European journal of heart failure.
[22] F. Grover,et al. The Department of Veterans Affairs' NSQIP: the first national, validated, outcome-based, risk-adjusted, and peer-controlled program for the measurement and enhancement of the quality of surgical care. National VA Surgical Quality Improvement Program. , 1998, Annals of surgery.
[23] E. Boyko,et al. Validation of methods for assessing cardiovascular disease using electronic health data in a cohort of Veterans with diabetes , 2016, Pharmacoepidemiology and drug safety.
[24] M. R. Sooriyarachchi,et al. Adjusting for a cluster effect in the logistic regression model: an illustration of theory and its application , 2011 .
[25] M. Emdin,et al. Sex-related differences in chronic heart failure. , 2018, International journal of cardiology.
[26] M. Eikermann,et al. A Meta-analysis of the Predictive Accuracy of Postoperative Mortality Using the American Society of Anesthesiologists’ Physical Status Classification System , 2014, World Journal of Surgery.
[27] F. Follath,et al. One-year mortality among unselected outpatients with heart failure. , 2002, European heart journal.
[28] Shuying Shen,et al. Automated extraction of ejection fraction for quality measurement using regular expressions in Unstructured Information Management Architecture (UIMA) for heart failure , 2012, J. Am. Medical Informatics Assoc..
[29] E F Cook,et al. Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery. , 1999, Circulation.
[30] N. Massarweh,et al. Practical Guide to Surgical Data Sets: Veterans Affairs Surgical Quality Improvement Program (VASQIP) , 2018, JAMA surgery.