Objective To investigate the comparability of the results of common biochemical items detected by Celercare M1 an‐alyzer in the peripheral blood and the venous whole blood .Methods The samples of peripheral blood and venous whole blood were collected from subjects .The biochemical items including Mg2+ ,Cl- ,tCO2 ,K+ ,Na+ ,Ca2+ ,α‐HBDH ,LDH ,AST ,CK ,CK‐MB ,TP , ALB ,TBIL ,ALT ,GGT ,ALP ,UREA ,GLU ,UA ,CHOL ,and HDL‐C were determined by Celercare M1 analyzer ,and the results were compared .Results The tCO2 results of venous blood was significantly higher than that of peripheral blood (P<0 .05) .How‐ever ,the results of α‐HBDH ,LDH ,CK and CK‐MB of venous blood samples were significantly lower than those of peripheral blood samples ,and the difference was statistically significant (P<0 .05) .Conclusion The peripheral blood can replace venous blood for biochemical analysis on Celercare M1 analyzer ,except for the electrolyte test items and cardiac enzyme items such as α‐HBDH , LDH ,CK and CK‐MB .

Esophagectomy is one of the most complicated procedures. Satisfactory anesthesia not only ensures the safety in terms of low morbidity and mortality postoperatively, but also one of the potential factors relevant to long-term survival. Most of physicians, however, ignore the significance of anesthesia. This article focuses on the recent advances of anesthesia for esophagectomy in preoperative preparation for induction, rapid-sequence induction, one-lung ventilation, fluid management during surgery and postoperative early extubation and analgesia.
Analgesia ; Anesthesia ; methods ; Esophagectomy ; methods ; Fluid Therapy ; Humans

Measuring eye movement is a fundamental approach in cognitive science as it provides a variety of insightful parameters that reflect brain states such as visual attention and emotions. Combining eye-tracking with multimodal neural recordings or manipulation techniques is beneficial for understanding the neural substrates of cognitive function. Many commercially-available and custom-built systems have been widely applied to awake, head-fixed small animals. However, the existing eye-tracking systems used in freely-moving animals are still limited in terms of their compatibility with other devices and of the algorithm used to detect eye movements. Here, we report a novel system that integrates a general-purpose, easily compatible eye-tracking hardware with a robust eye feature-detection algorithm. With ultra-light hardware and a detachable design, the system allows for more implants to be added to the animal's exposed head and has a precise synchronization module to coordinate with other neural implants. Moreover, we systematically compared the performance of existing commonly-used pupil-detection approaches, and demonstrated that the proposed adaptive pupil feature-detection algorithm allows the analysis of more complex and dynamic eye-tracking data in free-moving animals. Synchronized eye-tracking and electroencephalogram recordings, as well as algorithm validation under five noise conditions, suggested that our system is flexibly adaptable and can be combined with a wide range of neural manipulation and recording technologies.