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Severe sepsis in the ICU is often missing in hospital discharge codes

Overview of attention for article published in Acta Anaesthesiologica Scandinavica, October 2016
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Title
Severe sepsis in the ICU is often missing in hospital discharge codes
Published in
Acta Anaesthesiologica Scandinavica, October 2016
DOI 10.1111/aas.12814
Pubmed ID
Authors

S. B. Wilhelms, S. M. Walther, F. Huss, F. Sjöberg

Abstract

Different International Classification of Diseases (ICD)-based code abstraction strategies have been used when studying the epidemiology of severe sepsis. The aim of this study was to compare three previously used ICD code abstraction strategies to the American College of Chest Physicians/Society of Critical Care Medicine (ACCP/SCCM) consensus criteria for severe sepsis, in a setting of intensive care patients. All patients (≥ 18 years of age) with severe sepsis according to the ACCP/SCCM criteria registered in the Swedish Intensive Care Registry (2005-2009) were included in the study. Using the Swedish National Patient Register, we investigated whether these patients fulfilled an ICD code compilation for severe sepsis at hospital discharge. Overall, 9271 patients with severe sepsis were registered in the Swedish Intensive Care Registry. A majority of these patients (55.4%) were discharged from the hospital with ICD codes that did not correspond to any of the ICD code compilations. A minority of patients (10.3%) were discharged with ICD codes corresponding to all three code abstraction strategies applied. Overall, the proportion of patients discharged with ICD codes corresponding to the criteria of Angus et al. was 15.1%, to the criteria of Flaatten was 39.8%, and to the criteria of Martin et al. was 16.0%. A majority of patients with severe sepsis according to the ACCP/SCCM criteria were not discharged with ICD codes corresponding to the ICD code abstraction strategies; thus, the abstraction strategies did not identify the correct patients.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 16%
Student > Ph. D. Student 4 11%
Student > Master 4 11%
Student > Doctoral Student 3 8%
Other 2 5%
Other 9 24%
Unknown 10 26%
Readers by discipline Count As %
Medicine and Dentistry 18 47%
Nursing and Health Professions 3 8%
Arts and Humanities 1 3%
Agricultural and Biological Sciences 1 3%
Immunology and Microbiology 1 3%
Other 5 13%
Unknown 9 24%