Routine use of HbA1c amongst inpatients hospitalised with decompensated heart failure and the association of dysglycaemia with outcomes View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

K. Khoo, J. Lew, P. Neef, L. Kearney, L. Churilov, R. Robbins, A. Tan, M. Hachem, L. Owen-Jones, Q. Lam, G. K. Hart, A. Wilson, P. Sumithran, D. Johnson, P. M. Srivastava, O. Farouque, L. M. Burrell, J. D. Zajac, E. I. Ekinci

ABSTRACT

Diabetes is an independent risk factor for development of heart failure and has been associated with poor outcomes in these patients. The prevalence of diabetes continues to rise. Using routine HbA1c measurements on inpatients at a tertiary hospital, we aimed to investigate the prevalence of diabetes amongst patients hospitalised with decompensated heart failure and the association of dysglycaemia with hospital outcomes and mortality. 1191 heart failure admissions were identified and of these, 49% had diabetes (HbA1c ≥ 6.5%) and 34% had pre-diabetes (HbA1c 5.7-6.4%). Using a multivariable analysis adjusting for age, Charlson comorbidity score (excluding diabetes and age) and estimated glomerular filtration rate, diabetes was not associated with length of stay (LOS), Intensive Care Unit (ICU) admission or 28-day readmission. However, diabetes was associated with a lower risk of 6-month mortality. This finding was also supported using HbA1c as a continuous variable. The diabetes group were more likely to have diastolic dysfunction and to be on evidence-based cardiac medications. These observational data are hypothesis generating and possible explanations include that more diabetic patients were on medications that have proven mortality benefit or prevent cardiac remodelling, such as renin-angiotensin system antagonists, which may modulate the severity of heart failure and its consequences. More... »

PAGES

13564

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-31473-8

DOI

http://dx.doi.org/10.1038/s41598-018-31473-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106681171

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30202020


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-31473-8'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-31473-8'

Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-31473-8'


 

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291 Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, 3084, Victoria, Australia
292 Department of Pathology, Austin Health, Heidelberg, 3084, Victoria, Australia
293 Department of Strategy, Quality & Service Redesign, Austin Health, Heidelberg, 3084, Victoria, Australia
294 rdf:type schema:Organization
295 https://www.grid.ac/institutes/grid.413105.2 schema:alternateName St Vincent's Hospital
296 schema:name Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, 3084, Victoria, Australia
297 St Vincent’s Hospital Melbourne, Fitzroy, 3065, Victoria, Australia
298 rdf:type schema:Organization
299 https://www.grid.ac/institutes/grid.418025.a schema:alternateName Florey Institute of Neuroscience and Mental Health
300 schema:name The Florey Institute of Neuroscience and Mental Health, Heidelberg, 3084, Victoria, Australia
301 rdf:type schema:Organization
 




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