Literature DB >> 9893535

APACHE II, data accuracy and outcome prediction.

D R Goldhill1, A Sumner.   

Abstract

From review of 122 intensive care charts, Acute Physiology and Chronic Health Evaluation (APACHE) II points were determined for eight physiological values. Using a strict interpretation of APACHE II criteria, an average of 20.6% of these points were higher and 6.7% lower than the points entered originally into an intensive care database. The resulting 1.73 points mean increase in APACHE II score increased predicted mortality from 24.8% to 27.8% and decreased the mortality ratio (observed hospital deaths devided by predicted deaths) from 1.52 (95% confidence interval: 1.11-2.03) to 1.35 (95% confidence interval: 0.99-1.81). There were few errors entering the data recorded on the audit form into the intensive care unit database with an optical mark reader and keyboard. Inaccuracy and inconsistency in data collection must be excluded before differences in mortality ratios are ascribed to intensive care unit performance.

Mesh:

Year:  1998        PMID: 9893535     DOI: 10.1046/j.1365-2044.1998.00534.x

Source DB:  PubMed          Journal:  Anaesthesia        ISSN: 0003-2409            Impact factor:   6.955


  20 in total

Review 1.  Defining and improving data quality in medical registries: a literature review, case study, and generic framework.

Authors:  Danielle G T Arts; Nicolette F De Keizer; Gert-Jan Scheffer
Journal:  J Am Med Inform Assoc       Date:  2002 Nov-Dec       Impact factor: 4.497

2.  Reorganising the pandemic triage processes to ethically maximise individuals' best interests.

Authors:  Andrew Tillyard
Journal:  Intensive Care Med       Date:  2010-08-06       Impact factor: 17.440

3.  The Lombardia Stroke Unit Registry: 1-year experience of a web-based hospital stroke registry.

Authors:  Giuseppe Micieli; Anna Cavallini; Silvana Quaglini; Giancarlo Fontana; Michela Duè
Journal:  Neurol Sci       Date:  2010-03-26       Impact factor: 3.307

4.  A nationwide survey of intensive care unit discharge practices.

Authors:  Claudia-Paula Heidegger; Miriam M Treggiari; Jacques-André Romand
Journal:  Intensive Care Med       Date:  2005-10-26       Impact factor: 17.440

5.  Analysis of data errors in clinical research databases.

Authors:  Saveli I Goldberg; Andrzej Niemierko; Alexander Turchin
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

6.  The influence of missing components of the Acute Physiology Score of APACHE III on the measurement of ICU performance.

Authors:  Bekele Afessa; Mark T Keegan; Ognjen Gajic; Rolf D Hubmayr; Steve G Peters
Journal:  Intensive Care Med       Date:  2005-10-05       Impact factor: 17.440

7.  A centralized research data repository enhances retrospective outcomes research capacity: a case report.

Authors:  Gregory William Hruby; James McKiernan; Suzanne Bakken; Chunhua Weng
Journal:  J Am Med Inform Assoc       Date:  2013-01-15       Impact factor: 4.497

8.  Bacterial species-specific hospital mortality rate for intra-abdominal infections.

Authors:  Jeffrey A Claridge; Aman Banerjee; Katherine B Kelly; William H Leukhardt; Jeffrey W Carter; Manjunath Haridas; Mark A Malangoni
Journal:  Surg Infect (Larchmt)       Date:  2014-05-06       Impact factor: 2.150

9.  Use of the All Patient Refined-Diagnosis Related Group (APR-DRG) Risk of Mortality Score as a Severity Adjustor in the Medical ICU.

Authors:  Daniel Baram; Feroza Daroowalla; Ruel Garcia; Guangxiang Zhang; John J Chen; Erin Healy; Syed Ali Riaz; Paul Richman
Journal:  Clin Med Circ Respirat Pulm Med       Date:  2008-04-18

10.  "Summary Page": a novel tool that reduces omitted data in research databases.

Authors:  Saveli I Goldberg; Andrzej Niemierko; Maria Shubina; Alexander Turchin
Journal:  BMC Med Res Methodol       Date:  2010-10-08       Impact factor: 4.615

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.