Gastrointestinal Diseases ; epidemiology ; Humans ; Nurses ; Occupational Diseases ; epidemiology ; Prevalence

20% . In both groups CH was induced with infusion of 0.01% sodium nitroprusside (NTP) to maintain MAP at 55-65 mm Hg. MAP, HR, CVP cardiac output were continuously monitored. Arterial blood samples were taken before (T0 ) and after AHH (T1 ) , 30 min after CH was induced (T2 ) and 30 min after tennination of CH (T3 ) for blood gas analysis and determination of plasma levels of electrolytes and ?2-microglobulin.Results The two groups were comparable with respect to the demographic data including age, body weight and height. In group Ⅰ pH was significantly decreased after AHH and CH (T1-3) compared to the baseline (T0 ) and was significantly lower than that in group Ⅱ . There was no significant difference in plasma K+ , Na+ , Ca2+ , Cl- and BE between the two groups. Plasma?2- MG decreased significantly after AHH (at T1 ) compared to the baseline value before AHH (T0) in group Ⅰ and was significantly lower than that ingroup Ⅱ at T1-3 . Conclusion Glomerular filtration rate decreases during controlled hypotension as shown by increased plasma?2-MG. AHH combined with CH can improve glomerular filtration rate while exerts no significant effects on blood gases and electrolytes.

Data analysis models may assist the transmission of traditional Chinese medicine （TCM） experience and clinical diagnosis and treatment， and the possibility of constructing a “data-knowledge” dual-drive model was explored by taking gastric precancerous state as an example. Data-driven is to make clinical decisions around data analysis， and its syndrome-differentiation decision-making research relies on hidden structural models and partially observable Markov decision-making processes to identify the etiology of diseases， syndrome elements， evolution of pathogenesis， and syndrome differentiation protocols； knowledge-driven is to make use of data and information to promote decision-making and action processes， and its syndrome-differentiation decision-making research relies on convolutional neural networks to improve the accuracy of local disease identification and syndrome differentiation. The “data-knowledge” dual-driven model can make up for the shortcomings of single-drive numerical simulation accuracy， and achieve a balance between local disease identification and macroscopic syndrome differentiation. On the basis of previous research， we explored the construction method of diagnostic assisted decision-making platform for gastric precancerous state， and believed that the diagnostic and decision-making ability of doctors can be extended through the assistance of machines and algorithms. Meanwhile， the related research methods were integrated and the core features of gastric precancerous state based on TCM syndrome differentiation and endoscopic pathology diagnosis and prediction were obtained， and the elements of endoscopic pathology recognition based on TCM syndrome differentiation were explored， so as to provide ideas for the in-depth research and innovative application of cutting-edge data analysis technology in the field of intelligent TCM syndrome differentiation.