Using the LACE index to predict hospital readmissions in congestive heart failure patients - Wikidata - awgldk - TriplyDB

Using the LACE index to predict hospital readmissions in congestive heart failure patients

Using the LACE index to predict hospital readmissions in congestive heart failure patients

http://www.wikidata.org/entity/Q34026920

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Preparedness for hospital discharge and prediction of readmission Roles of disease severity and post-discharge outpatient visits as predictors of hospital readmissions Early Hospital Readmission and Mortality Risk after Surgical Treatment of Proximal Humerus Fractures in a Community-Based Health Care Organization Head Trauma from Falling Increases Subsequent Emergency Department Visits More Than Other Fall-Related Injuries in Older Adults.Utility of models to predict 28-day or 30-day unplanned hospital readmissions: an updated systematic review.Early Discharge Planning and Improved Care Transitions: Pre-Admission Assessment for Readmission Risk in an Elective Orthopedic and Cardiovascular Surgical Population.Evaluating the predictive strength of the LACE index in identifying patients at high risk of hospital readmission following an inpatient episode: a retrospective cohort study.Creation and validation of the acute heart failure risk score: AHFRS.Evaluation of prediction strategy and care coordination for COPD readmissions.Burden of hospitalization in clinically diagnosed peripheral artery disease: A community-based study.Performance of the LACE index to predict 30-day hospital readmissions in patients with chronic obstructive pulmonary disease.Evaluation of Corticosteroid Dose in Acute Exacerbation of Chronic Obstructive Pulmonary Disease.Clinicians can independently predict 30-day hospital readmissions as well as the LACE index.The LACE Score as a Tool to Identify Radical Cystectomy Patients at Increased Risk of 90-Day Readmission and Mortality

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Using the LACE index to predict hospital readmissions in congestive heart failure patients

http://www.wikidata.org/entity/Q34026920

description

2014 nî lūn-bûn

@nan

2014 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի օգոստոսին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

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2014年论文

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name

Using the LACE index to predic ...... gestive heart failure patients

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Using the LACE index to predic ...... gestive heart failure patients

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Using the LACE index to predic ...... gestive heart failure patients

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Using the LACE index to predic ...... gestive heart failure patients

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Using the LACE index to predic ...... gestive heart failure patients

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Using the LACE index to predic ...... gestive heart failure patients

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Using the LACE index to predic ...... gestive heart failure patients

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Using the LACE index to predic ...... gestive heart failure patients

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1471-2261-14-97

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BMC Cardiovascular Disorders

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Using the LACE index to predic ...... gestive heart failure patients

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Carlos Johnson

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Hao Wang

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Joshua Keithley

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Kathleen A Delaney

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Nestor R Zenarosa

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Rani D Jayswal

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Richard D Robinson

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P2860

Factors influencing emergency medical readmission risk in a UK district general hospital: a prospective study.

LACE+ index: extension of a validated index to predict early death or urgent readmission after hospital discharge using administrative data

Current trends in heart failure readmission rates: analysis of Medicare data.

Derivation and validation of an index to predict early death or unplanned readmission after discharge from hospital to the community.

Unplanned readmission rates, length of hospital stay, mortality, and medical costs of ten common medical conditions: a retrospective analysis of Hong Kong hospital data

Predictive factors of 30-day unplanned readmission after lower extremity bypass.

A simplified scoring tool for prediction of readmission in elderly patients hospitalized in internal medicine departments.

Ambulatory health care use by patients in a public hospital emergency department.

Unplanned readmissions after hospital discharge among patients identified as being at high risk for readmission using a validated predictive algorithm.

A systematic review and meta-analysis of studies comparing readmission rates and mortality rates in patients with heart failure.

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1471-2261-14-97

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2014-08-07T00:00:00Z

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