The ninth edition of TNM staging for lung cancer has been announced at the 2023 World Lung Cancer Congress and implemented from January 1, 2024. The focus of the ninth TNM staging change is dividing N2 into N2a and N2b, as well as M1c into M1c1 and M1c2. Although the T staging has not changed, it has played an important role in verifying the eighth edition of the T staging. The subdivision of stage N2 has led some patients with ⅢA of the eighth edition to experience ascending or descending stages, which will more accurately help to assess the condition and prognosis of patients with mediastinal lymph node metastasis, as well as the design of related clinical studies. Modifying the M1c staging will help define oligometastasis and explore new treatment models in the future. The ninth edition of the TNM staging system provides a more detailed division of different tumor loads, but there is no clear explanation for the staging of lung cancer after neoadjuvant therapy. Further data analysis is needed, and it is expected to be answered in the tenth edition of TNM staging.

The ninth edition of TNM staging for lung cancer has been announced at the 2023 World Lung Cancer Congress and implemented from January 1, 2024. The focus of the ninth TNM staging change is dividing N2 into N2a and N2b, as well as M1c into M1c1 and M1c2. Although the T staging has not changed, it has played an important role in verifying the eighth edition of the T staging. The subdivision of stage N2 has led some patients with ⅢA of the eighth edition to experience ascending or descending stages, which will more accurately help to assess the condition and prognosis of patients with mediastinal lymph node metastasis, as well as the design of related clinical studies. Modifying the M1c staging will help define oligometastasis and explore new treatment models in the future. The ninth edition of the TNM staging system provides a more detailed division of different tumor loads, but there is no clear explanation for the staging of lung cancer after neoadjuvant therapy. Further data analysis is needed, and it is expected to be answered in the tenth edition of TNM staging.

Objective:To investigate the epidemiological characteristics of septic cardiomyopathy and explore the relationship between the relevant indexes measured by echocardiography and the prognosis of patients with sepsis.Methods:A case-control study was conducted. The data of patients with sepsis admitted to the department of critical care medicine of Jiangsu Subei People's Hospital Affiliated to Yangzhou University and the department of critical care medicine of Beijing Electric Power Hospital of State Grid Corporation of China from June 2018 to June 2021 were enrolled. The general information and 28-day prognosis were recorded. At the same time, ultrasonic parameters obtained by transthoracic echocardiography within 24 hours after intensive care unit (ICU) admission were recorded. The differences in ultrasound indexes between the death group and the survival group on 28 days were compared. Parameters with significant statistical differences between the death group and the survival group were included in the Logistic regression analysis to find the independent risk factors for the prognosis of patients with sepsis, the predictive value of each index for the prognosis of patients with sepsis was evaluated by receiver operator characteristic curve (ROC curve).Results:A total of 145 patients with sepsis were enrolled, including 106 patients with septic shock. Among the 145 patients, septic cardiomyopathy was found in 73 patients, with the incidence of 50.3%. The incidence of left ventricular diastolic dysfunction cardiomyopathy was 41.4% ( n = 60), the incidence of left ventricular systolic dysfunction cardiomyopathy was 24.8% ( n = 36), and the incidence of right ventricular systolic dysfunction cardiomyopathy was 12.4% ( n = 18). At 28 days, 98 patients survived and 47 died, with the mortality of 32.4%. The peak e' velocity by tissue Doppler imaging (e') and right ventricular myocardial systolic tricuspid annulus velocity (RV-Sm) of the death group were significantly lower than those of the survival group [e' (cm/s): 7.81±1.12 vs. 8.61±1.02, RV-Sm (cm/s): 12.12±2.04 vs. 13.73±1.74, both P < 0.05], left ventricular ejection fraction (LVEF) and left ventricular systolic mitral annulus velocity (LV-Sm) in the death group were slightly higher than those in the survival group [LVEF: 0.550±0.042 vs. 0.548±0.060, LV-Sm (cm/s): 8.92±2.11 vs. 8.23±1.71], without significant differences (both P > 0.05). Parameters with significant statistical differences between the two groups were included in the Logistic regression analysis and showed that e' and RV-Sm were independent risk factors for the 28-day prognosis of patients with sepsis [e': odds ratio ( OR) = 0.623, 95% confidence interval (95% CI) was 0.410-0.947, P = 0.027; RV-Sm: OR = 0.693, 95% CI was 0.525-0.914, P = 0.010]. ROC curve analysis showed that the area under the ROC curve (AUC) of e' for predicting the 28-day prognosis of patients with sepsis was 0.657, 95% CI was 0.532-0.781, P = 0.016, the best cut-off value was 8.65 cm/s, the sensitivity was 62.1%, and the specificity was 73.4%. The AUC of RV-Sm for predicting the 28-day prognosis of patients with sepsis was 0.641, 95% CI was 0.522-0.759, P = 0.030, the best cut-off value was 14.80 cm/s, the sensitivity was 96.6%, and the specificity was 26.6%. Conclusions:The incidence of septic cardiomyopathy is high. The LVEF measured by early echocardiography has no predictive value for 28-day prognosis in septic patients, while RV-Sm and e' are important predictors for 28-day prognosis.

To investigate cerebral autoregulation(CA)in patients with severe unilateral carotid artery stenosis by near infrared spectroscopy. Thirty patients who underwent general anesthesia in our hospital from January 2015 to February 2017 were enrolled in this study.The stenosis group included 15 patients with severe unilateral internal carotid artery stenosis,and the control group included 15 patients without carotid artery stenosis.Both groups were matched in sex and age.Cerebral tissue oxygenation index(TOI)and mean arterial pressure were recorded continuously under stable general anesthesia.The Pearson correlation coefficient()was calculated to judge the CA status. TOI was not significantly different between the stenosis side and the non-stenosis side in the stenosis group(66.52±6.50 65.23±4.50;=0.93, =0.368)or between the stenosis side in the stenosis group and the stenosis side in the control group(66.52±6.50 64.22±3.87;=1.18, =0.248).The values of stenosis side and non-stenosis side in the stenosis group were 0.36±0.12 and 0.17±0.11,respectively,and the values of the stenosis side in the stenosis group and the stenosis side of the control group were 0.36±0.12 and 0.13±0.08,respectively.In the stenosis group,5 patients had transient ischemic attack and 2 patients had a history of stroke within 3 months before operation.When an value of 0.342 was used as the judgment point of CA abnormality,the sensitivity and specificity were 0.625 and 0.909,respectively. Within the range of normal blood pressure fluctuation,cerebral blood flow is linked to blood pressure at the stenosis side in patients with severe unilateral carotid artery stenosis.
Blood Pressure ; Carotid Stenosis ; Cerebrovascular Circulation ; Homeostasis ; Humans ; Ischemic Attack, Transient

Objective To explore the accuracy of fluid responsiveness assessment by variability of peripheral arterial peak velocity and variability of inferior vena cava diameter (ΔIVC) in patients with septic shock. Methods A prospective study was conducted. The patients with septic shock undergoing mechanical ventilation (MV) admitted to intensive care unit (ICU) of Beijing Electric Power Hospital from January 2016 to December 2017 were enrolled. According to sepsis bundles of septic shock, volume expansion (VE) was conducted. The increase in cardiac index (ΔCI) after VE ≥ 10% was defined as liquid reaction positive (responsive group), ΔCI < 10% was defined as the liquid reaction negative (non-responsive group). The hemodynamic parameters [central venous pressure (CVP), intrathoracic blood volume index (ITBVI), stroke volume variation (SVV), ΔIVC, variability of carotid Doppler peak velocity (ΔCDPV), and variability of brachial artery peak velocity (ΔVpeak-BA)] before and after VE were monitored. The correlations between the hemodynamic parameters and ΔCI were explored by Pearson correlation analysis. Receiver operating characteristic (ROC) curve was plotted to analyze the predictive value of all hemodynamic parameters on fluid responsiveness. Results During the study, 74 patients with septic shock were included, of whom 9 were excluded because of peripheral artery stenosis, recurrent arrhythmia or abdominal distension influencing the ultrasound examination, and 65 patients were finally enrolled in the analysis. There were 31 patients in the responsive group and 34 in the non-responsive group. SVV, ΔIVC, ΔCDPV and ΔVpeak-BA before VE in responsive group were significantly higher than those of the non-responsive group [SVV: (12.3±2.4)% vs. (9.2±2.1)%, ΔIVC: (22.3±5.3)% vs. (15.5±3.7)%, ΔCDPV: (15.3±3.3)% vs. (10.3±2.4)%, ΔVpeak-BA: (14.5±3.3)% vs. (9.6±2.3)%, all P < 0.05]. There was no significant difference in CVP [mmHg (1 mmHg = 0.133 kPa): 7.5±2.5 vs. 8.2±2.6] or ITBVI (mL/m2: 875.2±173.2 vs. 853.2±192.0) between the responsive group and non-responsive group (both P > 0.05). There was no significant difference in hemodynamic parameter after VE between the two groups. Correlation analysis showed that SVV, ΔIVC, ΔCDPV, and ΔVpeak-BA before VE showed significant linearity correlation with ΔCI (r value was 0.832, 0.813, 0.854, and 0.814, respectively, all P < 0.05), but no correlation was found between CVP and ΔCI (r = -0.342, P > 0.05) as well as ITBVI and ΔCI (r = -0.338, P > 0.05). ROC curve analysis showed that the area under ROC curve (AUC) of SVV, ΔIVC, ΔCDPV, and ΔVpeak-BA before VE for predicting fluid responsiveness was 0.857, 0.826, 0.906, and 0.866, respectively, which was significantly higher than that of CVP (AUC = 0.611) and ITBVI (AUC = 0.679). When the optimal cut-off value of SVV for predicting fluid responsiveness was 11.5%, the sensitivity was 70.4%, and the specificity was 94.7%. When the optimal cut-off value of ΔIVC was 20.5%, the sensitivity was 60.3%, and the specificity was 89.7%. When the optimal cut-off value of ΔCDPV was 13.0%, the sensitivity was 75.2%, and the specificity was 94.9%. When the optimal cut-off value of ΔVpeak-BA was 12.7%, the sensitivity was 64.8%, and the specificity was 89.7%. Conclusions Ultrasound assessment of ΔIVC, ΔCDPV, and ΔVpeak-BA could predict fluid responsiveness in patients with septic shock receiving mechanical ventilation. ΔCDPV had the highest predictive value among these parameters.

It’s still controversial whether there is specificity of acupoints, because numerous studies showed that stimulation to acupoints and sham acupoints produced parallel clinical efficacies. For example, acupoint specificity was not detected when Visual Analogue Scale was adopted to evaluate pain, while hemodynamic and neuroimaging studies suggested the existence of acupoint specificity. This article reviewed and summarized relevant studies that supported or didn’t support acupoint specificity. Further researches are required to prove the existence of specificity of acupoints.

Objective To compare and observe the effect of GASMAN software computer aided and traditional teaching method in the teaching of inhalation anesthesia. Methods 48 members of interns who need to enter the inhalation anesthesia department to study the theory of inhalation anesthesia were ran-domly divided into either GASMAN software group or traditional group with 24 people in each group, using the above two methods to carry on the study of inhalation anesthesia. After the end of the teaching course, the study effect and the satisfaction degree of the two groups of students were investigated by the written exam and questionnaire. SPSS 11.5 was used for statistical analysis, using±s to express measurement data. The results of the examination were compared with the independent sample t test, and the satisfaction survey feedback was compared with chi square test, The difference was statistically significant (P<0.05 ). Result The mean score of GASMAN software group (95.4 ±2.7) was significantly higher than that of tra-ditional group (85.0 ±3.5) (t=11.5,P=0.000). Satisfaction survey results showed that GASMAN computer assisted instruction software learning was easier for students to accept, and there were significant difference between two groups (P=0.001). Conclusion Teaching mode of GASMAN software is a good learning technique of inhalation anesthesia, which is worthy of promotion.

Objective To explore the scientificity and rationality of drug administration of crash truck in basic level general hospitals so as to provided references for establishing unified regulations,optimizing drug administration of crash truck and improving rescue efficiency.Methods A total of 12 departments from 3 basic level general hospitals were selected according to purposive sampling and were investigated with questionnaires involving drug allocation,the quantity and variety of first-aid drugs and usage concept of crash truck.Results Among 12 departments from 3 basic level general hospitals,the differences of the quantity of first-aid drugs were large;the number of of first-aid drugs was from 9 to 15 (mean 12);there were 5 departments without standard drug identification of crash truck;there was 1 department with old concept in drug administration of crash truck;there were 12 departments with incomplete drugs and without updating their drug allocation of crush truck for 5 years. Conclusions We should enhancing the scientificity,rationality and standardization of drug administration of crash truck in basic level general hospitals,so as to adapt to the demands of medical development in new environment and ensure the safety of clinical emergency.

Objective To design a method for detecting multileaf collimator (MLC) leaf position accuracy in implementing a static intensity-modulated plan and to analyze the impacts of leaf errors on dose of targets and normal organs.Methods Static intensity-modulated planning for twenty lung cancer cases through dose verification was sorted in an ascending order according to the number of segment,and then the first and the last 10 plans were sorted as the simple plan group and the complex plan group,respectively.These plans were transmitted to a Varian 600CD accelerator and implemented by it.Photos were taken with PV aS500 electronic portal imaging device (EPID) and actual position of leafs was determined by gradient algorithm to calculate the pass rate for leaf verification.MLC files were modified according to examination results and the plans were re-calculated while keeping other parameters unchanged.Thus,difference of targets and normal organs dose distribution before and after the appearance of leaf errors were obtained.Results The dose distribution of most organs after leaf errors were increased or decreased,and the maximum dose of spinal cord in the sixth and thirteen cases exceeded the limit of 45 Gy.In the group of simple plan only the changes of maximum dose to the spinal cord were statistically significant(t =-3.08,P ＜ 0.05),while in the group of the complex plan all changes of D95％ of PGTV and PTV,maximum dose of the spinal cord,V20 of lung and V40 of heart were statistically significant(t =-1.89,-1.99,-2.36,-2.55,-1.85,P ＜ 0.05).Conclusions To ensure the safety and effects,it was necessary to detect leaf position,particularly the complex intensity-modulated planning.Electronic portal imaging devices and treatment planning system could detect leaf positions during the implementation of a plan and obtain the actual dose of targets and normal organs.