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Association of glycemic variability and prognosis in patients with traumatic brain injury: A retrospective study from the MIMIC-IV database.
Qi, Linrui; Geng, Xin; Feng, Rongliang; Wu, Shuaishuai; Fu, Tengyue; Li, Ning; Ji, Hongming; Cheng, Rui; Wu, Hao; Wu, Dan; Huang, Lian; Long, Qingshan; Wang, Xiangyu.
Affiliation
  • Qi L; Department of Neurology, the First Affiliated Hospital of Jinan University, Guangzhou 510630, China. Electronic address: neurospray@foxmail.com.
  • Geng X; Department of Neurosurgery, the First Affiliated Hospital of Jinan University, Guangzhou 510630, China. Electronic address: neuroscientist@foxmail.com.
  • Feng R; Department of Neurosurgery, the First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Department of Neurosurgery, the First People's Hospital of Zhaoqing City, Zhaoqing 526060, China. Electronic address: fengrongliang2000@163.com.
  • Wu S; Department of Neurosurgery, the First Affiliated Hospital of Jinan University, Guangzhou 510630, China. Electronic address: shuaishuai_wu@foxmail.com.
  • Fu T; Department of Neurosurgery, the First Affiliated Hospital of Jinan University, Guangzhou 510630, China. Electronic address: futengyue@stu2021.jnu.edu.cn.
  • Li N; Department of Neurosurgery, the First Affiliated Hospital of Jinan University, Guangzhou 510630, China. Electronic address: xiaoning.525@163.com.
  • Ji H; Department of Neurosurgery, Shanxi Provincial People's Hospital, Fifth Hospital of Shanxi Medical University, Shanxi Provincial Key Laboratory of Intelligent, Big Data and Digital Neurosurgery, Shanxi Provincial Key Laboratory of Intelligent Brain Tumor, Taiyuan 030012, China. Electronic address: ho
  • Cheng R; Department of Neurosurgery, Shanxi Provincial People's Hospital, Fifth Hospital of Shanxi Medical University, Shanxi Provincial Key Laboratory of Intelligent, Big Data and Digital Neurosurgery, Shanxi Provincial Key Laboratory of Intelligent Brain Tumor, Taiyuan 030012, China. Electronic address: ne
  • Wu H; Department of Neurosurgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China. Electronic address: sddpsound@163.com.
  • Wu D; Department of Neurosurgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China. Electronic address: 18734100037@163.com.
  • Huang L; Department of Neurology, the First Affiliated Hospital of Jinan University, Guangzhou 510630, China. Electronic address: huanglian1306@126.com.
  • Long Q; Department of Neurosurgery, the First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Department of Neurosurgery, Zhongshan Torch Development Zone People's Hospital, Zhongshan 528400, China. Electronic address: longqingshan10@163.com.
  • Wang X; Department of Neurosurgery, the First Affiliated Hospital of Jinan University, Guangzhou 510630, China. Electronic address: wang_xy123@126.com.
Diabetes Res Clin Pract ; 217: 111869, 2024 Sep 26.
Article in En | MEDLINE | ID: mdl-39332533
ABSTRACT

BACKGROUND:

Elevated glycemic variability (GV) often occurs in intensive care unit (ICU) patients and is associated with patient prognosis. However, the association between GV and prognosis in ICU patients with traumatic brain injury (TBI) remains unclear.

METHOD:

Clinical data of ICU patients with TBI were obtained from the Medical Information Mart for Intensive Care (MIMIC) -IV database. The coefficient of variation (CV) was utilized to quantify GV, while the Glasgow Coma Scale (GCS) was employed to evaluate the consciousness status of TBI patients. Pearson linear correlation analysis, linear regression, COX regression and restricted cubic spline (RCS) were used to investigate the relationship between CV and consciousness impairment, as well as the risk of in-hospital mortality.

RESULT:

A total of 1641 ICU patients with TBI were included in the study from the MIMIC-IV database. Pearson linear correlation and restricted cubic spline (RCS) analysis results showed a negative linear relationship between CV and the last GCS (P = 0.002) with no evidence of nonlinearity (P for nonlinear = 0.733). Multivariable linear regression suggested a higher CV was associated with a lower discharge GCS [ß (95 %CI) = -1.86 (-3.08 âˆ¼ -0.65), P = 0.003]. Furthermore, multivariable COX regression indicated that CV ≥ 0.3 was a risk factor for in-hospital death in TBI patients [HR (95 %CI) = 1.74 (1.15-2.62), P = 0.003], and this result was also consistent across sensitivity and subgroup analyses.

CONCLUSION:

Higher GV is related to poorer consciousness outcomes and increased risk of in-hospital death in ICU patients with TBI. Additional research is needed to understand the logical relationship between GV and TBI progression.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Diabetes Res Clin Pract Journal subject: ENDOCRINOLOGIA Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Diabetes Res Clin Pract Journal subject: ENDOCRINOLOGIA Year: 2024 Document type: Article Country of publication: