Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Search

Page Path
HOME > Search
1 "Intensive care units"
Filter
Filter
Article category
Keywords
Publication year
Authors
Original Article
Predicting Mortality of Critically Ill Patients by Blood Glucose Levels
Byung Sam Park, Ji Sung Yoon, Jun Sung Moon, Kyu Chang Won, Hyoung Woo Lee
Diabetes Metab J. 2013;37(5):385-390.   Published online October 17, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.5.385
  • 4,070 View
  • 36 Download
  • 10 Crossref
AbstractAbstract PDFPubReader   
Background

The aim of this study is to observe the outcome of critically ill patients in relation to blood glucose level at admission and to determine the optimal range of blood glucose at admission predicting lower hospital mortality among critically ill patients.

Methods

We conducted a retrospective cohort study of a total 1,224 subjects (males, 798; females, 426) admitted to intensive care unit (ICU) from 1 January 2009 to 31 December 2010. Blood glucose levels at admission were categorized into four groups (group 1, <100 mg/dL; group 2, 100 to 199 mg/dL; group 3, 200 to 299 mg/dL; and group 4, ≥300 mg/dL).

Results

Among 1,224 patients, 319 patients were already known diabetics, and 296 patients died in ICU. Five hundred fifty-seven subjects received insulin therapy, and 118 received oral hypoglycemic agents. The overall mortality rate was 24.2% (296 patients). The causes of death and mortality rates of diabetic patients were not different from nondiabetic subjects. The mortality curve showed J shape, and there were significant differences in mortality between the groups of blood glucose levels at admission. Group 2 had the lowest mortality rate (P<0.05).

Conclusion

These results suggest that serum glucose levels upon admission into ICU is associated with clinical outcomes in ICU patients. Blood glucose level between 100 and 199 mg/dL at the time of ICU admission could predict lower hospital mortality among critically ill patients.

Citations

Citations to this article as recorded by  
  • HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction
    Youru Li, Zhenfeng Zhu, Xiaobo Guo, Shaoshuai Li, Yuchen Yang, Yao Zhao
    ACM Transactions on Knowledge Discovery from Data.2024; 18(1): 1.     CrossRef
  • Feature extraction from unequal length heterogeneous EHR time series via dynamic time warping and tensor decomposition
    Chi Zhang, Hadi Fanaee-T, Magne Thoresen
    Data Mining and Knowledge Discovery.2021; 35(4): 1760.     CrossRef
  • Serum electrolytes levels in patients with type 2 diabetes mellitus: a cross-sectional study
    Shridhar Reshma, Sushith Sushith, Mangalore Balakrishna Prathima, D'Sa Janice, Gopal R Madan, Pragathi Gowda, Kiran PK Kumar, Mohandas Rai, Bhuvanesh Sukhlal Kalal
    Diabetes mellitus.2020; 23(3): 223.     CrossRef
  • Systemic Corticosteroids and Mortality in Severe and Critical COVID-19 Patients in Wuhan, China
    Jianfeng Wu, Jianqiang Huang, Guochao Zhu, Yihao Liu, Han Xiao, Qian Zhou, Xiang Si, Hui Yi, Cuiping Wang, Daya Yang, Shuling Chen, Xin Liu, Zelong Liu, Qiongya Wang, Qingquan Lv, Ying Huang, Yang Yu, Xiangdong Guan, Yanbing Li, Krishnarajah Nirantharakum
    The Journal of Clinical Endocrinology & Metabolism.2020; 105(12): e4230.     CrossRef
  • Derivation and validation of a new nutritional index for predicting 90 days mortality after ICU admission in a Korean population
    Da-Hye Son, Kyung-Sub Kim, Hye-Sun Lee, Ji-Won Lee, Cheung-Soo Shin
    Journal of the Formosan Medical Association.2020; 119(8): 1283.     CrossRef
  • Acute pancreatic beta cell apoptosis by IL-1β is responsible for postburn hyperglycemia: Evidence from humans and mice
    Jun Li, Jie Xu, Xinghua Qin, Hongyan Yang, Juntao Han, Yanhui Jia, Huayu Zhu, Liang Zhu, Jia Li, Wenjun Xie, Dahai Hu, Xing Zhang, Feng Gao
    Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.2019; 1865(2): 275.     CrossRef
  • Determinants of mortality in patients with type 2 diabetes: a review
    Jana Engelmann, Ulf Manuwald, Constanze Rubach, Joachim Kugler, Andreas L. Birkenfeld, Markolf Hanefeld, Ulrike Rothe
    Reviews in Endocrine and Metabolic Disorders.2016; 17(1): 129.     CrossRef
  • The Impact of Measurement Frequency on the Domains of Glycemic Control in the Critically Ill-A Monte Carlo Simulation
    James S. Krinsley, David E. Bruns, James C. Boyd
    Journal of Diabetes Science and Technology.2015; 9(2): 237.     CrossRef
  • Response: Predicting Mortality of Critically Ill Patients by Blood Glucose Levels (Diabetes Metab J2013;37:385-90)
    Byung Sam Park, Ji Sung Yoon
    Diabetes & Metabolism Journal.2014; 38(1): 81.     CrossRef
  • Predicting Mortality of Critically Ill Patients by Blood Glucose Levels (Diabetes Metab J2013;37:385-90)
    Hyeong Kyu Park
    Diabetes & Metabolism Journal.2013; 37(6): 484.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer
TOP