Literature DB >> 17900406

Hyperactive delirium and blood glucose control in critically ill patients.

A Heymann1, M Sander, D Krahne, M Deja, S Weber-Carstens, M MacGuill, M Kastrup, K D Wernecke, I Nachtigall, C D Spies.   

Abstract

Delirium is a common complication of critically ill patients and is often associated with metabolic disorders. One of the most frequent metabolic disorders in intensive care unit (ICU) patients is hyperglycaemia. The aim of this retrospective study of 196 adult ICU patients was to determine if there is an association between hyperactive delirium and blood glucose levels in ICU patients. Hyperactive delirium was diagnosed using the delirium detection score. Blood glucose levels were monitored by blood gas analysis every 4 h. Hyperactive delirium was detected in 55 (28%) patients. Delirious patients showed significantly higher blood glucose levels than non-delirious patients Higher overall complication rates, length of ventilation, ICU stay and mortality rates were seen in the delirium group. In a multivariate analysis, glucose level, alcohol abuse, APACHE II score, complication by hospital-acquired pneumonia and a diagnosis of polytrauma on-admission all significantly influenced the appearance of delirium.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17900406     DOI: 10.1177/147323000703500511

Source DB:  PubMed          Journal:  J Int Med Res        ISSN: 0300-0605            Impact factor:   1.671


  11 in total

1.  Intraoperative tight glucose control using hyperinsulinemic normoglycemia increases delirium after cardiac surgery.

Authors:  Leif Saager; Andra E Duncan; Jean-Pierre Yared; Brian D Hesler; Jing You; Anupa Deogaonkar; Daniel I Sessler; Andrea Kurz
Journal:  Anesthesiology       Date:  2015-06       Impact factor: 7.892

2.  Delirium and Psychotic Symptoms Associated with Hyperglycemia in a Patient with Poorly controlled Type 2 Diabetes Mellitus.

Authors:  Rui Lopes; Bernardo Dias Pereira
Journal:  Innov Clin Neurosci       Date:  2018-06-01

3.  Hyperglycaemia and apoptosis of microglial cells in human septic shock.

Authors:  Andrea Polito; Jean-Philippe Brouland; Raphael Porcher; Romain Sonneville; Shidasp Siami; Robert D Stevens; Céline Guidoux; Virginie Maxime; Geoffroy Lorin de la Grandmaison; Fabrice C Chrétien; Françoise Gray; Djillali Annane; Tarek Sharshar
Journal:  Crit Care       Date:  2011-05-25       Impact factor: 9.097

4.  Glucose variability during delirium in diabetic and non-diabetic intensive care unit patients: A prospective cohort study.

Authors:  Kris van Keulen; Wilma Knol; Svetlana V Belitser; Irene J Zaal; Paul D van der Linden; Eibert R Heerdink; Toine C G Egberts; Arjen J C Slooter
Journal:  PLoS One       Date:  2018-11-15       Impact factor: 3.240

5.  Risk factors for delirium: are therapeutic interventions part of it?

Authors:  Jinyan Xing; Zhiyong Yuan; Yaqi Jie; Ying Liu; Mingxue Wang; Yunbo Sun
Journal:  Neuropsychiatr Dis Treat       Date:  2019-05-17       Impact factor: 2.570

6.  Diabetes and elevated preoperative HbA1c level as risk factors for postoperative delirium after cardiac surgery: an observational cohort study.

Authors:  Katarzyna Kotfis; Aleksandra Szylińska; Mariusz Listewnik; Mirosław Brykczyński; E Wesley Ely; Iwona Rotter
Journal:  Neuropsychiatr Dis Treat       Date:  2019-02-20       Impact factor: 2.570

7.  Incidence and Risk Factors of Delirium in the Intensive Care Unit: A Prospective Cohort.

Authors:  Farshid Rahimi-Bashar; Ghazal Abolhasani; Nahid Manouchehrian; Nasrin Jiryaee; Amir Vahedian-Azimi; Amirhossein Sahebkar
Journal:  Biomed Res Int       Date:  2021-01-08       Impact factor: 3.411

8.  Association between glucose variability and postoperative delirium in acute aortic dissection patients: an observational study.

Authors:  Yan-Juan Lin; Ling-Yu Lin; Yan-Chun Peng; Hao-Ruo Zhang; Liang-Wan Chen; Xi-Zhen Huang; Qiong Chen
Journal:  J Cardiothorac Surg       Date:  2021-04-15       Impact factor: 1.637

9.  Risk factors, time to onset and recurrence of delirium in a mixed medical-surgical ICU population: A secondary analysis using Cox and CHAID decision tree modeling.

Authors:  Farshid Rahimibashar; Andrew C Miller; Mahmood Salesi; Motahareh Bagheri; Amir Vahedian-Azimi; Sara Ashtari; Keivan Gohari Moghadam; Amirhossein Sahebkar
Journal:  EXCLI J       Date:  2022-01-04       Impact factor: 4.068

10.  Understanding brain dysfunction in sepsis.

Authors:  Romain Sonneville; Franck Verdonk; Camille Rauturier; Isabelle F Klein; Michel Wolff; Djillali Annane; Fabrice Chretien; Tarek Sharshar
Journal:  Ann Intensive Care       Date:  2013-05-29       Impact factor: 6.925

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.