Literature DB >> 18081171

An electronic strategy to identify hospitalized heart failure patients.

Lakshmi K Halasyamani1, Jennifer Czerwinski, Rosemary Clinard, Mark E Cowen.   

Abstract

BACKGROUND: A common challenge in improving performance measures regarding heart failure (HF) is identifying patients early in the course of their hospitalization so that multidisciplinary education and clinical interventions can be implemented. We describe the accuracy of using an electronic pharmacy-based strategy to identify hospitalized patients likely to have a principal diagnosis of HF at discharge.
METHODS: We evaluated 2 strategies. The first used the receipt of an intravenous loop diuretic as a single predictor; the second incorporated additional lab, pharmacy, and demographic information in a multivariable general estimating equation.
RESULTS: Receipt of an intravenous diuretic predicted a discharge diagnosis of heart failure with a sensitivity of 0.89 and a specificity of 0.87. Adding age, B-type natriuretic peptide level, previous hospitalizations, attending physician specialty, and receipt of spironolactone into the predictor improved the sensitivity to 0.91 and the specificity to 0.89.
CONCLUSIONS: The receipt of intravenous loop diuretics is a reasonable and easily implemented screening test to identify patients likely to have a principal diagnosis of heart failure at discharge. The accuracy is improved by incorporating other electronically available variables. (c) 2007 Society of Hospital Medicine.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 18081171     DOI: 10.1002/jhm.284

Source DB:  PubMed          Journal:  J Hosp Med        ISSN: 1553-5592            Impact factor:   2.960


  2 in total

1.  Randomized controlled effectiveness trial of reciprocal peer support in heart failure.

Authors:  Michele Heisler; Lakshmi Halasyamani; Mark E Cowen; Matthew D Davis; Ken Resnicow; Robert L Strawderman; Hwajung Choi; Rebecca Mase; John D Piette
Journal:  Circ Heart Fail       Date:  2013-02-06       Impact factor: 8.790

2.  Comparison of Approaches for Heart Failure Case Identification From Electronic Health Record Data.

Authors:  Saul Blecker; Stuart D Katz; Leora I Horwitz; Gilad Kuperman; Hannah Park; Alex Gold; David Sontag
Journal:  JAMA Cardiol       Date:  2016-12-01       Impact factor: 14.676

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.