How to predict the outcome of critically ill patients

• 1. 疾病预后模型的制作方法、使用该模型的疾病预后预测方法、利用该模型的预后预测装置以及其程序·存储介质 [P] . 中国专利： CN1777806B . 2010.09.01
• 2. 疾病预后模型的制作方法、使用该模型的疾病预后预测方法、利用该模型的预后预测装置以及其程序·存储介质 [P] . 中国专利： CN1777806A . 2006-05-24
• 3. Method for predicting the outcome of a critically ill patient [P] . 美国专利： US8097424B2 . 2012-01-17

  机译： 预测危重病人预后的方法

• 4. METHOD FOR PREDICTING THE OUTCOME OF A CRITICALLY ILL PATIENT [P] . 欧洲知识产权局专利： EP2153233A1 . 2010-02-17

  机译： 预测危重患者结果的方法

• 5. Method for Predicting the Outcome of a Critically Ill Patient [P] . 美国专利： US2010196921A1 . 2010-08-05

  机译： 预测重症患者预后的方法

• 1. Effect of sedation on short-term and long-term outcomes of critically ill patients with acute respiratory insufficiency [J] . Xue-zhong Xing, Yong Gao, Hai-jun Wang, 世界急诊医学杂志（英文） . 2015,第002期
• 2. Effect of sedation on short-term and long-term outcomes of critically ill patients with acute respiratory insufficiency [J] . Xue-zhong Xing, Yong Gao, Hai-jun Wang, 世界急诊医学杂志(英文版) . 2015,第002期
• 3. Effect of sedation on short-term and long-term outcomes of critically ill patients with acute respiratory insufficiency [J] . Xuc-zhong Xing, Yong Gao, Hai-jun Wang, 世界急诊医学杂志(英文版) . 2015,第002期
• 4. Critical appraisal of: The endotracheal tube air leak test does not predict extubation outcome in critically ill pediatric patients. Pediatr Crit Care Med 2008; 9:490-496. [J] . Parrish Reade E Pediatric critical care medicine: a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies . 2010,第5期
• 5. Patient- and Nutrition-Derived Outcome Risk Assessment Score as a Predictor of Mortality in Critically Ill Surgical Patients: A Retrospective, Single-Center Observational Study [J] . Nakayama Anna, Canales Cecilia, Yeh D. Dante, Nutrition in clinical practice: official publication of the American Society for Parenteral and Enteral Nutrition . 2019,第3期
• 6. Can We Predict Outcome In Critically Ill Elderly Patients? [J] . Divya Pal, Deepak Govil Indian Journal of Critical Care Medicine . 2021,第6期
• 7. Predicting Outcome in Critically Ill Patients using Artificial Intelligence Models [C] . Manuel Santos, Alvaro Silva, Antonio Abelha, Artificial Intelligence and Applications . 2002
• 8. Impact on Health Outcomes of Boarding Postoperative Critically Ill Stable Older Patients. [D] . Charsha, Dianne Susan. 2016
• 9. Relaxation for Critically ill Patient Outcomes and Stress-coping Enhancement (REPOSE): a protocol for a pilot randomised trial of an integrative intervention to improve critically ill patients’ delirium and related outcomes [O] . Elizabeth D E Papathanassoglou, Yoanna Skrobik, Kathleen Hegadoren, 2019
• 10. P981Lvot area measurement using gated ct data reclassifies aortic stenosis severity as graded by echocardiographyP982Paradoxical low-flow low-gradient aortic stenosis: an intermediate state between moderate and severe aortic stenosis?P983Can rheumatic significant mitral stenosis be a cause of paradoxical low gradient, low flow, in patients with severe aortic stenosis? an echocardiographic and outcome studyP984Clinical and hemodynamic comparison of isolated versus combined aortic and mitral stenosisP985Echocardiographic end-diastolic velocity in the proximal descending aorta should be interpreted with caution when the ascending aorta is dilated: insights from cardiovascular magnetic resonanceP987Prevalence of atrial mitral regurgitation in patients with severe mitral regurgitationP988Role of 2D/3D echocardiography in the risk stratification of endocardial lead-related tricuspid regurgitation: a single-centre study among?241 patientsP989When TEE is needed in patients with staphylococcus aureus bacteremia for the assessment of risk profile of infective endocarditis?P990Appropriateness criteria to echocardiograms for suspected infective endocarditis: experience of a tertiary referral centerP991Independent predictors of outcome in infective endocarditisP992The role of transesophageal cardiography in clinical course and prognosis of complicated infective endocarditis in critically ill patients: our 15 years experienceP993Left bundle branch block atypical pattern as a prognostic determinant in patients taken to TAVIP994Efficacy of long-term ivabradine therapy in severe systolic chronic heart failure patients with and without type 2 diabetes mellitusP995Relations between left ventricular reverse remodeling and serum markers of extracellular matrix fibrosis in dilated cardiomyopathyP996The healthy left ventricle accommodates an increasing vortex formation time for volume transfer in diastolic filling :Implications for heart failureP997Evolutionary changes of pulmonary artery pressure after left ventricular assist device implantP998Functional correlates and prognostic value of coronary flow velocity reserve by vasodilator stress echocardiography in hypertrophic cardiomyopathyP999Quantification of myocardial performance in patients with non-obstructive versus latent-obstructive hypertrophic cardiomyopathyP1000Lifelong arrhythmic risk stratification in arrhythmogenic right ventricular cardiomyopathy: distribution of events and impact of periodical reassessmentP1001Impact of fibrosis visualized by CMR in vectorcardiogram recordings of patients with suspected arrhythmogenic cardiomyopathyP1002Determinants of the beneficial effect of aldosterone antagonism on exercise capacity in heart failure with reduced ejection fractionP1003Myocardial strain values in patients with acute myocarditis and preserved ejection fraction. A magnetic resonance feature tracking studyP1004Detection of subclinical left ventricular dysfunction by speckle tracking echocardiography in patients with myocarditis without prominent wall motion abnormalitiesP1005Aborted sudden cardiac death patients aged <50 years show only mild alterations on cardiac magnetic resonance imagingP1006Relationships between subepicardial and subendocardial longitudinal strain with late gadolinium enhancement in uncomplicated hypertensive patients [O] . L. Moderato, C. Di Nora, A. Soufiani, 2016

• 1. Outcomes of critically ill cancer patients with Acinetobacter baumannii infection [J] . Silvio A Namendys-Silva12 ,Paulina Correa-García3 ,Francisco J García-Guillén1 . 世界重症医学杂志 . 2015,第003期
• 2. Predictive value of serum cystatin C for risk of mortality in severe and critically ill patients with COVID-19 [J] . Yan Li ,Shuang Yang ,Ding Peng . 世界临床病例杂志 . 2020,第020期
• 3. APACHEⅡ评分在预测急诊危重病人预后中的应用价值 [C] . 李朝宏 . 楚雄州2015年科学技术学术年会 . 2015
• 4. 血小板参数与肾综合征出血热疾病严重程度的相关性及对危重病人预后的预测价值 [A] . 刘资童 . 2019