bibtype J - Journal Article
ARLID 0386851
utime 20240103201919.0
mtime 20130111235959.9
WOS 000310725900014
DOI 10.5507/bp.2012.037
title (primary) (eng) Severe hypoglycaemia requiring the assistance of emergency medical services - frequency, causes and symptoms
specification
page_count 7 s.
serial
ARLID cav_un_epca*0420230
ISSN 1213-8118
title Biomedical Papers
volume_id 156
volume 3 (2012)
page_num 271-277
publisher
name Univerzita Palackého v Olomouci
keyword regression trees
keyword causes
keyword symptoms
keyword incidence
keyword emergency medical service
keyword severe hypoglycaemia
author (primary)
ARLID cav_un_auth*0287654
name1 Krnačová
name2 V.
country CZ
author
ARLID cav_un_auth*0264564
name1 Kuběna
name2 Aleš Antonín
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
institution UTIA-B
full_dept Department of Econometrics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0038975
name1 Macek
name2 K.
country CZ
author
ARLID cav_un_auth*0287655
name1 Bezděk
name2 M.
country CZ
author
ARLID cav_un_auth*0287656
name1 Šmahelová
name2 A.
country CZ
author
ARLID cav_un_auth*0038373
name1 Vlček
name2 J.
country CZ
source
url http://library.utia.cas.cz/separaty/2013/E/kubena-severe hypoglycaemia requiring the assistance of emergency medical services - frequency causes and symptoms.pdf
cas_special
project
project_id SVV-2010-261-004
agency GA UK
country CZ
ARLID cav_un_auth*0287636
abstract (eng) To evaluate the incidence of severe hypoglycaemia (SH) requiring the assistance of Emergency Medical Services (EMS) in the general population of the Hradec Kralove region, in a 1 year period; to describe the distribution of these events throughout the day, and to analyse the symptoms and causes. The outcome data were obtained from special forms which were filled in by EMS medical staff. Incidence of SH was calculated and the distribution of events throughout the day was analysed using contingency tables. The relationship between blood glucose levels and the presence or absence of causes and symptoms of hypoglycaemia was evaluated using a general linear model and the regression tree technique.
reportyear 2013
RIV EI
num_of_auth 6
permalink http://hdl.handle.net/11104/0216146
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mrcbT16-y 36.46
mrcbT16-x 1.18
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arlyear 2012
mrcbU34 000310725900014 WOS
mrcbU63 cav_un_epca*0420230 Biomedical Papers 1213-8118 1804-7521 Roč. 156 č. 3 2012 271 277 Univerzita Palackého v Olomouci