scholarly journals Prognostic Value of Circadian Rhythm of Brain Temperature in Traumatic Brain Injury

2021 ◽  
Vol 11 (7) ◽  
pp. 620
Author(s):  
Lu-Ting Kuo ◽  
Hsueh-Yi Lu ◽  
Abel Po-Hao Huang

Hypothermia has been used in postoperative management of traumatic brain injury (TBI); however, the rhythmic variation and prognostic value of brain temperature after TBI have never been studied. This study describes diurnal brain temperature patterns in comatose patients with TBI. Mesors of brain temperature, amplitude, and acrophase were estimated from recorded temperature measurements using cosinor analysis. The association of these patterns with clinical parameters, mortality, and functional outcomes in a 12-month follow-up was examined. According to the cosinor analysis, 59.3% of patients presented with circadian rhythms of brain temperature in the first 72 h postoperatively. The rhythm-adjusted mesor of brain temperature was 37.39 ± 1.21 °C, with a diminished mean amplitude of 0.28 (±0.25) °C; a shift of temperature acrophase was also observed. Multivariate logistic regression analysis revealed that initial Glasgow coma scale score, age, elevated blood glucose level, and circadian rhythm of brain temperature seemed to be predictive and prognostic factors of patients’ functional outcomes. For the prediction of survival status, younger patients or those patients with mesor within the middle 50% of brain temperature were more likely to survive. The analysis of brain temperature rhythms in patients with moderate and severe TBI provided additional predictive information related to mortality and functional outcomes.

2020 ◽  
Author(s):  
Ruoran Wang ◽  
Min He ◽  
Yan Kang

Abstract Background The cardiac dysfunction has been confirmed as a common non-neurological complication and associated with increased mortality in traumatic brain injury (TBI) patients. As a biological marker of cardiac injury, the cardiac troponin T (TnT) has been verified correlated with outcome of some non-traumatic brain injury patients. However, the prognostic value of TnT in TBI patients has not been clearly illustrated. We designed this study to explore the association between TnT and outcome of TBI patients in different age subgroups. Methods Patients diagnosed with TBI in a prospective critical care database were eligible for this study. Univariate logistic regression analysis was firstly performed to explore the relationship between included variables and mortality. Then, the real effect of TnT on outcome of different age subgroups was analyzed by multivariate logistic regression analysis adjusting the confounding effects of other significant risk factors. Finally, we draw receiver operating characteristic (ROC) curves to evaluate the prognostic value of TnT in different age groups of TBI patients. Results 520 patients were included in this study with mortality rate of 20.2%. There were 112 (21.5%) non-elderly patients (age < 65) and 408 (78.5%) elderly patients (age ≥ 65). Non-survivors had higher percentage of previous acute myocardial infarction (p = 0.019) and pupil no-reaction (p = 0.028; p = 0.011) than survivors. Survivors had higher GCS (p < 0.001) and lower TnT than non-survivors (p < 0.001). TnT was significantly associated with mortality in non-elderly patients (p = 0.031) but not in overall patients (p = 0.143) and elderly patients (p = 0.456) in multivariate logistic regression analysis. The AUC (area under the ROC curve) value of TnT in overall, non-elderly and elderly patients was 0.644, 0.693 and 0.632, respectively. Combining TnT with GCS increased the sensitivity of predicting mortality of both non-elderly and elderly TBI patients. Conclusion The prognostic value of TnT differed between elderly and non-elderly TBI patients. Level of TnT was associated with mortality of non-elderly TBI patients but not elderly patients. Combining the TnT with GCS could increase the sensitivity of prognosis evaluation.


PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0245792
Author(s):  
Hsueh-Yi Lu ◽  
Abel Po-Hao Huang ◽  
Lu-Ting Kuo

Measurement of heart rate variability can reveal autonomic nervous system function. Changes in heart rate variability can be associated with disease severity, risk of complications, and prognosis. We aimed to investigate the prognostic value of heart rate variability measurements in patients with moderate-to-severe traumatic brain injury after decompression surgery. We conducted a prospective study of 80 patients with traumatic brain injury after decompression surgery using a noninvasive electrocardiography device for data collection. Assessment of heart rate variability parameters included the time and frequency domains. The correlations between heart rate variability parameters and one-year mortality and functional outcomes were analyzed. Time domain measures of heart rate variability, using the standard deviation of the RR intervals and the square root of the mean squared differences of successive RR intervals, were statistically significantly lower in the group of patients with unfavorable outcomes and those that died. In frequency domain analysis, very low-frequency and total power were significantly higher in patients with favorable functional outcomes. High-frequency, low-frequency, and total power were statistically significantly higher in patients who survived for more than one year. Multivariate analysis using a model combining age and the Glasgow Coma Scale score with variables derived from heart rate variability substantially improved the prognostic value for predicting long-term outcome. These findings reinforced the concept that traumatic brain injury impacts the brain-heart axis and cardiac autonomic modulation even after decompression surgery, and variables derived from heart rate variability may be useful predictors of outcome.


2011 ◽  
Vol 38 (1) ◽  
pp. 25-32 ◽  
Author(s):  
M. M. Lesko ◽  
O. Bouamra ◽  
S. O’Brien ◽  
F. Lecky

2018 ◽  
Vol 35 (7) ◽  
pp. 918-929 ◽  
Author(s):  
Karen-Amanda Irvine ◽  
Robin K. Bishop ◽  
Seok Joon Won ◽  
Jianguo Xu ◽  
Katherine A. Hamel ◽  
...  

2010 ◽  
Vol 27 (6) ◽  
pp. 999-1006 ◽  
Author(s):  
Pei-Ying Chuang ◽  
Yvette P. Conley ◽  
Samuel M. Poloyac ◽  
David O. Okonkwo ◽  
Dianxu Ren ◽  
...  

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