Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model.
about
Effect of different angiotensin-converting-enzyme inhibitors on mortality among elderly patients with congestive heart failurePredicting mortality in patients with acute heart failure: Role of risk scoresMechanical Ventricular Assistance as Destination Therapy for End-Stage Heart Failure: Has it Become a First Line Therapy?Early identification of palliative care patients in general practice: development of RADboud indicators for PAlliative Care Needs (RADPAC)Heart Failure: Diagnosis, Severity Estimation and Prediction of Adverse Events Through Machine Learning Techniques.Prospective health care: the second transformation of medicineLessons learned in replicating data-driven experiments in multiple medical systems and patient populationsManagement of end-stage heart failure: a perspective on the Arab Gulf statesAcute Heart Failure Registry: Risk Assessment Model in Decompensated Heart FailureA simple validated method for predicting the risk of hospitalization for worsening of heart failure in ambulatory patients: the Redin-SCORE.Low-risk acute heart failure patients: external validation of the Society of Chest Pain Center's recommendations.Heart failure and chronic obstructive pulmonary disease: diagnostic pitfalls and epidemiologyGuidelines for heart transplantation.Cardiac resynchronization therapy guided by cardiovascular magnetic resonanceNon-cardiovascular comorbidity, severity and prognosis in non-selected heart failure populations: A systematic review and meta-analysis.The effects of data sources, cohort selection, and outcome definition on a predictive model of risk of thirty-day hospital readmissions.Risk-Adjusted In-Hospital Mortality Models for Congestive Heart Failure and Acute Myocardial Infarction: Value of Clinical Laboratory Data and Race/Ethnicity.International variations in the treatment and co-morbidity of left ventricular systolic dysfunction: data from the EuroHeart Failure Survey.Evaluation of acute myocardial infarction in-hospital mortality using a risk-adjustment model based on Japanese administrative data.Current issues for nurse practitioners: Hyponatremia.A cluster randomized controlled trial of a clinical pathway for hospital treatment of heart failure: study design and population.The relationship between systolic blood pressure on admission and mortality in older patients with heart failure.Prospective development and validation of a model to predict heart failure hospitalisationAnticoagulation after anterior myocardial infarction and the risk of stroke.Routine laboratory results and thirty day and one-year mortality risk following hospitalization with acute decompensated heart failureGeriatric conditions and subsequent mortality in older patients with heart failure.Rationale and design of the treatment of hyponatremia based on lixivaptan in NYHA class III/IV cardiac patient evaluation (THE BALANCE) study.Short-term mortality and cost associated with cardiac device implantation in patients hospitalized with heart failure.A novel risk score to predict 1-year functional outcome after intracerebral hemorrhage and comparison with existing scores.Do Non-Clinical Factors Improve Prediction of Readmission Risk?: Results From the Tele-HF StudyMulti-state modelling of heart failure care path: A population-based investigation from ItalyWhy do authors derive new cardiovascular clinical prediction rules in the presence of existing rules? A mixed methods study.Multidimensional Prognostic Index based on a comprehensive geriatric assessment predicts short-term mortality in older patients with heart failure.Differences in outcomes of patients with congestive heart failure prescribed celecoxib, rofecoxib, or non-steroidal anti-inflammatory drugs: population based study.Future Care Planning for patients approaching end-of-life with advanced heart disease: an interview study with patients, carers and healthcare professionals exploring the content, rationale and design of a randomised clinical trial.Prediction of emergent heart failure death by semi-quantitative triage risk stratification.Availability of data when heart failure patients are admitted to hospice.Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies.Current aspects of the spectrum of acute heart failure syndromes in a real-life setting: the OFICA study.Mortality after hospitalization with mild, moderate, and severe hyponatremia.
P2860
Q24657798-0260B58F-52CC-4F7E-9A3F-D47384827C37Q26771109-5C91C9FD-641D-4B0A-87A6-A3B4B593FDACQ26797254-70774D03-57DF-4AFA-B782-C903A2BD154EQ26865390-553B1B54-A42B-4E73-B705-891ACB7E3455Q28075346-3B9118CF-AE57-4E57-B7E4-78F851E90111Q28300742-A5FEFF3D-A97C-41DD-846A-4056D2EF6239Q28660194-472C715C-9522-4F78-B2F0-1645CC9D4C05Q28751716-5CC1EBAE-A94D-42C1-8715-1FA222C2E880Q30100975-72F5EA71-FD51-4DC9-AAED-65D64C480ACAQ30374980-58D05715-6189-415E-A849-10984721950CQ30479678-7AE83587-95C2-40C8-BE83-80C43A2A2067Q30483582-E81889BB-C911-49BD-97E6-5F7BF90AC70FQ30496666-EF752420-8C82-4AAD-9FE4-806CD6BAB77CQ30497515-BCB5A667-37E7-4FAB-9A9F-9E5F500E37D2Q30659393-DE406E96-7CC4-463C-9EDA-95821367DBFEQ30847220-193C9E36-95BB-4C52-9398-D9F0AB19E650Q30971623-27AECC9E-6363-449B-B0D9-EA95563E9DB2Q31064781-2A469604-C20C-4E64-960A-FEF48B150FE2Q31131328-7AF852E5-7CBD-49C1-8D3F-33E6D2D8E2E4Q33304369-6DFD2D68-5AB8-43C4-8631-19CBFF2FF969Q33305166-9ADA96F0-5118-45DA-A662-4019754E8394Q33595656-EE42D515-E623-4179-B142-0252147D1A22Q33659469-768F6547-95A3-4BDE-8E93-E7DAEE7F7058Q33668758-0FB7360F-5CBD-45D7-8B04-DE479A1BAFF5Q33680771-A7C7B598-32C5-4E30-9B21-893DC89C7C6BQ33706252-824C26FA-9991-4F19-8BCA-A79E1038D7EDQ33712822-23A6D314-1790-4BF5-A088-39FC2A7FC6ECQ33735354-3DE7BD97-7034-43A0-B40F-1F877586D033Q33749958-EFC207AC-478A-4241-B9DE-F361C76140A9Q33764535-2F11F635-45F0-4135-B847-A9E923834171Q33773244-5763A3C9-2143-4EB9-B54C-B596213461B6Q33773250-D80172E2-2479-4520-874C-BB0F97CFC47CQ33825320-6CC13916-8934-4D8A-9612-91D334937038Q33941101-AF5A2128-3A3A-459D-92AA-1D282309B2D8Q33995980-EA6A3EB8-E750-45B9-98AB-91554D66FA69Q33996881-6C17552B-512C-4EA2-BD9D-76F87EA9653EQ34079581-40429248-E041-4AE7-A44B-B7145E164BB8Q34308075-7B2DD4B2-D962-4602-86E8-52185D0B7CD2Q34492056-44F38D29-5935-48A0-817A-AA0A0A9BF4D7Q34551988-738F471A-5753-471B-8C08-49028E6F426B
P2860
Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model.
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年学术文章
@wuu
2003年学术文章
@zh
2003年学术文章
@zh-cn
2003年学术文章
@zh-hans
2003年学术文章
@zh-my
2003年学术文章
@zh-sg
2003年學術文章
@yue
2003年學術文章
@zh-hant
name
Predicting mortality among pat ...... alidation of a clinical model.
@en
Predicting mortality among pat ...... alidation of a clinical model.
@nl
type
label
Predicting mortality among pat ...... alidation of a clinical model.
@en
Predicting mortality among pat ...... alidation of a clinical model.
@nl
prefLabel
Predicting mortality among pat ...... alidation of a clinical model.
@en
Predicting mortality among pat ...... alidation of a clinical model.
@nl
P2093
P921
P356
P1476
Predicting mortality among pat ...... alidation of a clinical model.
@en
P2093
David Naimark
Douglas S Lee
Jean L Rouleau
Peter P Liu
P304
P356
10.1001/JAMA.290.19.2581
P407
P577
2003-11-01T00:00:00Z