Objective:To explore the clinical application value of routine indicators such as blood routine and liver and kidney function in auxiliary diagnosis and prognosis of COVID-19 patients.Methods:SNK-q and other methods were used to retrospectively analyzed the differences of blood routine test, liver and kidney function and other inflammatory indexes of 30 patients with covid-19, 29 patients with other viral pneumonia, 35 patients with influenza A/B and 25 healthy persons from January 28 to February 14, 2020 in Xiangya Hospital of Central South University.Results:The neutrophils count increased gradually in COVID-19 group, influenza A/B group and other types of viral pneumonia group, and the difference between COVID-19 group and other viral pneumonia groups was statistically significant( H=-19.064, P<0.05); The lymphocyte count decreased gradually in the control group, influenza A/B group, other viral pneumonia group and COVID-19 group. In addition, DB, UA and GLU were also different among groups. Subgroup analysis showed that there were statistically significant differences in N( F=9.581, t=-0.152, P<0.05), N%( F=5.723, t=-0.600, P<0.05), NLR( F=4.773, t=-1.161, P<0.05), PCT( F=17.464, t=-1.477, P<0.05)and CRP( F=7.656, t=-1.973, P<0.05) between patients with lung involvement +-++ and patients with lung involvement +++-++++. There were statistically significant differences in NLR( F=63.931, t=-2.815, P<0.01), AST( F=15.704, t=-1.930, P<0.01), ALT( F=35.551, t=-2.199, P<0.01), LDH( F=7.715, t=-2.703, P<0.05) and GLU( F=6.306, t=-5.116, P<0.05) between the light+common subgroup and the heavy+critical subgroup of COVID-19 clinical classification. Correlation analysis showed that clinical stage and imaging credit period were significantly correlated with NLR ( r=0.406 , P=0.026; r=0.397 , P=0.030), ALT ( r=0.403 , P=0.049; r=0.418 , P=0.047), LDH ( r=0.543 , P<0.01; r=0.643 , P<0.01) and GLU( r=0.750 , P<0.01; r=0.471 , P=0.042). A total of 5 principal components were extracted from all the included indicators, and the comprehensive information extraction rate was 82.86%. Indicators of a large load included Ur, PCT and CRP in PC1; ALT, AST and GLU in PC2; N%, L%, L and NLR in PC3. It indicated that the indicators of acute infection, liver function and blood routine had certein warning effect on disease surveillance. The results of ROC curve analysis showed that the combined detection of N+TB+Urea was the best practice to distinguish COVID-19 and other viral pneumonia, while the combined detection of N+L+UA was the most effective solution to make a distinction between COVID-19 and influenza A/B patients. In the aspect of disease evaluation, NL+LDH+GLU+ALT combined detection represent the best diagnostic performance to distinguish the clinical stage of light+common type and heavy+critical type, achieving the AUC (ROC) to 0.904, with the sensitivity 75% and the specificity 100% at the cut-off value of 0.477. Conclusion:In addition to etiology and imaging examination, doctors can also improve the routine laboratory tests such as blood routine test, liver and kidney function to assist diagnosis and disease prediction of patients with respiratory tract infection.

Objective:To explore the clinical application value of routine indicators such as blood routine and liver and kidney function in auxiliary diagnosis and prognosis of COVID-19 patients.Methods:SNK-q and other methods were used to retrospectively analyzed the differences of blood routine test, liver and kidney function and other inflammatory indexes of 30 patients with covid-19, 29 patients with other viral pneumonia, 35 patients with influenza A/B and 25 healthy persons from January 28 to February 14, 2020 in Xiangya Hospital of Central South University.Results:The neutrophils count increased gradually in COVID-19 group, influenza A/B group and other types of viral pneumonia group, and the difference between COVID-19 group and other viral pneumonia groups was statistically significant( H=-19.064, P<0.05); The lymphocyte count decreased gradually in the control group, influenza A/B group, other viral pneumonia group and COVID-19 group. In addition, DB, UA and GLU were also different among groups. Subgroup analysis showed that there were statistically significant differences in N( F=9.581, t=-0.152, P<0.05), N%( F=5.723, t=-0.600, P<0.05), NLR( F=4.773, t=-1.161, P<0.05), PCT( F=17.464, t=-1.477, P<0.05)and CRP( F=7.656, t=-1.973, P<0.05) between patients with lung involvement +-++ and patients with lung involvement +++-++++. There were statistically significant differences in NLR( F=63.931, t=-2.815, P<0.01), AST( F=15.704, t=-1.930, P<0.01), ALT( F=35.551, t=-2.199, P<0.01), LDH( F=7.715, t=-2.703, P<0.05) and GLU( F=6.306, t=-5.116, P<0.05) between the light+common subgroup and the heavy+critical subgroup of COVID-19 clinical classification. Correlation analysis showed that clinical stage and imaging credit period were significantly correlated with NLR ( r=0.406 , P=0.026; r=0.397 , P=0.030), ALT ( r=0.403 , P=0.049; r=0.418 , P=0.047), LDH ( r=0.543 , P<0.01; r=0.643 , P<0.01) and GLU( r=0.750 , P<0.01; r=0.471 , P=0.042). A total of 5 principal components were extracted from all the included indicators, and the comprehensive information extraction rate was 82.86%. Indicators of a large load included Ur, PCT and CRP in PC1; ALT, AST and GLU in PC2; N%, L%, L and NLR in PC3. It indicated that the indicators of acute infection, liver function and blood routine had certein warning effect on disease surveillance. The results of ROC curve analysis showed that the combined detection of N+TB+Urea was the best practice to distinguish COVID-19 and other viral pneumonia, while the combined detection of N+L+UA was the most effective solution to make a distinction between COVID-19 and influenza A/B patients. In the aspect of disease evaluation, NL+LDH+GLU+ALT combined detection represent the best diagnostic performance to distinguish the clinical stage of light+common type and heavy+critical type, achieving the AUC (ROC) to 0.904, with the sensitivity 75% and the specificity 100% at the cut-off value of 0.477. Conclusion:In addition to etiology and imaging examination, doctors can also improve the routine laboratory tests such as blood routine test, liver and kidney function to assist diagnosis and disease prediction of patients with respiratory tract infection.

Objective: To evaluate the feasibility of long-term function of implant-supported full-arch immediate prosthesis via assessing the complications and risk factors. Methods: This historical cohort study included patients treated with implant-supported full-arch restoration under immediate loading protocol between April, 2008 to June, 2016 and wearing the immediate prosthesis for more than 6 months. Medical charts were reviewed for patients' general information, implant information, prosthetic information and details of prosthetic complications. COX proportional hazards ratio model was adopted to analyze the potential risk factors for prosthesis fracture. Results: A total of 114 patients with a mean age of (56.7±10.2) years old and 144 prostheses were included. The median wearing time of immediate prosthesis was 17.6 months. Sixty-two (54%) patients experienced prosthetic complication, 30 of them suffered more than once. Artificial teeth fractures were more common in anterior region while resin base fractured more often in the posterior region. The possibility of immediate prosthesis fracture in the first year was high but declined over the following years. COX regression analysis showed that fibre-reinforcement (HR=0.486, P=0.017) and rigid opposing dentition (HR=2.272, P=0.016) were significantly related to the prosthesis fracture. Conclusions Long-term function of implant-supported full-arch immediate prosthesis renders a high prosthetic complication prevalence, featuring the prosthesis fracture as the most common complication and the first year of highest fracture probability. Fibre-reinforced acrylic immediate prosthesis may function well in cases with a removable denture restored opposing jaw.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.