Objective:To explore the relevant factors affecting the accuracy of scanning glucose monitoring (FGM) technology in critically ill patients.Methods:A total of 53 patients who were admitted to the Intensive Care Unit (ICU) of the Second Affiliated Hospital of Soochow University and used FGM glucose monitoring from September 2022 to December 2023 were selected by means of a convenience sampling method. The paired data of arterial blood glucose and FGM glucose were analysed. The accuracy of FGM blood glucose measurement in critically ill patients was evaluated using Bland-Altman analysis. The blood glucose data were divided into two groups: the FGM monitoring accuracy group and the FGM monitoring non-accuracy group.. The t-test and χ2 test were used for the comparison of one-way analysis of arterial versus FGM accuracy among critically ill patients with different demographic characteristics. Logistic regression analysis was used to analyze the factors influencing the accuracy of FGM. Results:The results of Bland-Altman analysis of the 53 patients indicated that the mean bias value of FGM blood glucose was elevated at 1.215 mmol/L in comparison with arterial-blood gas analysis blood glucose values. An incidence of exceeding the upper and lower limits of the range was observed, amounting to 6.349%. The discrepancy between the studies was found to be statistically significant (95% CI:1.0394~1.3908, P<0.001). The effects of the changes in height ( OR=0.877, 95% CI:0.780~0.987, P=0.029), changes in leukocyte counts( OR=0.917, 95% CI:0.868~0.969, P=0.002), changes in C-reactive protein( OR=1.009, 95% CI:1.002~1.017, P=0.016), changes in albumin counts( OR=0.986, 95% CI:0.974~0.999, P=0.031), and whether or not sepsis ( OR=3.937, 95% CI:1.192~13.008, P=0.025) on the accuracy of FGM had a statistically significant. Conclusion:The mean bias value of the accuracy of FGM was relatively higher compared with that of arterial blood gas analysis blood glucose values, and the influencing factors involved height, white blood cells, C-reactive protein, albumin, and whether or not sepsis was present. With the development of science and technology, applying the FGM system to critically ill patients has an absolute advantage in determining the overall glycemic trend, and the application value of FGM technology deserves further study.

Post-traumatic stress disorder (PTSD),with the principal manifestations as invasive thinking,avoidance,negative emotions and cognition,and increased alertness,is a psychological disorder occurring after traumatic events. Sleep disorders are also considered as one of the core characteristics of PTSD. Previous studies have partly revealed the relationship between PTSD and sleep disorders,but the physiological mechanism of the relationship is still unclear. This article provides an overview of the clinical and physiological characteristics of PTSD and sleep disorders. Based on this,the bidirectional relationship between PTSD and sleep disorders is discussed,and the relevant physiological and brain mechanisms of the relationship between them are further explored. Future research needs to explore the neurophysiological mechanisms underlying the bidirectional relationship between PTSD and sleep by exploring the brain regions and neural circuits associated with both PTSD and sleep,providing more information and methods for the prevention and treatment of PTSD and sleep disorders.

Objective: To investigate the effect of space glucose control (SGC) on the quality of blood glucose management in ICU patients with stress hyperglycemia. Methods: A prospective, cross-controlled, quasi-trial was conducted to observe patients with ICU-induced stress hyperglycemia between January 2018 and January 2019. Patients with conventional blood glucose management served as the control group, and SGC blood glucose management was used as the intervention group. The enrolled patients were interchanged between the two groups every 24 h, and the end point was 96 h. The differences in blood glucose management quality indicators between the two groups were compared, including the average blood glucose level, the highest and lowest blood glucose level, the average blood glucose monitoring interval, and the accumulated insulin dosage. SPSS 23.0 was used to analyze the data. The paired t test was used for the normal distributed data. Otherwise, two nonparametric correlation sample tests was used. A P<0.05 was considered statistically significant. Results: A total of 41 patients enrolled in this study during the study period. The average blood glucose value in the intervention group was significantly lower than that in the control group [(8.60 ±1.42)mmol/L vs (10.02 ±1.49)mmol/L, P< 0.01]. The frequency of hyperglycemia was lower than that of the control group (16.59 ±8.56 vs 18.73 ±7.91, P=0.023). The frequency of blood glucose value in the target blood glucose range was significantly higher than that of the control group (53.07±19.11 vs 29.44±19.60, P< 0.01). However, the frequency of hypoglycemia, the frequency of blood glucose monitoring and the accumulated insulin dosage in the intervention group were higher than those in the control group [1 (0, 5) vs 0 (0, 2), P< 0 01; 1 36 ±0 23 vs 1 89 ±0 28, P< 0.01; and (139.61 ±77.06)U vs (107.49 ±64.41)U, P<0.01]. Conclusions SGC can optimize the control of blood glucose in the target blood glucose range, but it can easily lead to mild hypoglycemia, and to a certain extent increases the workload of medical staff.

Objective To explore the energy metabolism of artificial airway patients in ICU.Methods The energy metabolism rate of ICU patients with artificial airway was measured by energy metabolism car and compared with the energy metabolism calculated by HB formula.Results The energy metabolism value of ICU patients with artificial airway was (1 831.07 ± 301.12) kcal measured by energy metabolism car,and the energy metabolism value calculated by HB formula was (2 126.03 ±411.05) kcal,which showed a significant difference (P ＜0.01).Conclusion The energy metabolism car can more accurately monitor the energy metabolism of ICU patients with artificial airway,and provide better nutrition treatment for the patients.

Objective To explore the energy metabolism of artificial airway patients in ICU.Methods The energy metabolism rate of ICU patients with artificial airway was measured by energy metabolism car and compared with the energy metabolism calculated by HB formula.Results The energy metabolism value of ICU patients with artificial airway was (1 831.07 ± 301.12) kcal measured by energy metabolism car,and the energy metabolism value calculated by HB formula was (2 126.03 ±411.05) kcal,which showed a significant difference (P ＜0.01).Conclusion The energy metabolism car can more accurately monitor the energy metabolism of ICU patients with artificial airway,and provide better nutrition treatment for the patients.