Objective To explore the lung protective effect of pressure controlled ventilation-volume guaranteed(PCV-VG)combined with driving pressure(DP)guided lung protective ventilation strategy in patients undergoing thoracoscopic and laparoscopic radical esophagectomy.Methods 70 patients scheduled for elective thoracoscopic and laparoscopic radical esophagectomy were allocated into two groups using a random number table method:Conventional lung protective ventilation strategy group(group C)and DP guided lung protective ventilation strategy under PCV-VG mode group(group P),35 case in each group.Peak airway pressure(Ppeak),plateau pressure(Pplat),dynamic compliance(Cdyn)and DP were compared between the two groups at 5 minutes after intubation(T1),30 min after pneumoperitoneum established(T2),just prior to one lung ventilation(OLV)(T3),30 min after OLV(T4),60 min after OLV(T5)and 15 min from recovery of two lung ventilation(TLV)(T6).The blood pressure(BP),heart rate(HR),arterial partial pressure of oxygen(PaO2),partial pressure of carbon dioxide in arterial blood(PaCO2)and pH were recorded before anesthesia(T0),T2,T3,T4,T5 and T6 time points.The occurrence of postoperative pulmonary complications(PPCs)also recorded.Results Compared with group C,Ppeak in group P at T1,T2,T4,T5 and T6 time points was significantly decreased,and Cdyn was obviously increased,the differences were statistically significant(P＜0.05).At the T1,T4,T5 and T6 time points,the DP was lower in group P compared to group C,and Pplat at T6 time point was lower than that in group C,the differences were statistically significant(P＜0.05).At the time points of T4 and T5,the PaO2 in group P was higher than that in Group C,and the PaCO2 at T6 time point was also higher than that in group C,the differences were statistically significant(P＜0.05).The comparison of PaCO2 at T0,T2,T3,T4 and T5 time points of the two groups,the difference was not statistically significant(P＞0.05).Comparison of pH between the two groups,the difference was not statistically significant at all time points(P＞0.05).The systolic blood pressure(SBP)of group P was higher than that of group C at the T4 time point,and the diastolic blood pressure(DBP)was lower than that of group C at T6 time point,and the differences were statistically significant(P＜0.05);There were no significant differences in SBP and DBP at T0,T2,T3 and T5 time points,and HR at each time point between the two groups(P＞0.05).There was no statistically significant difference in the occurrence of PPCs within 7 d after operation between the two groups(P＞0.05).Conclusion DP guided lung protective ventilation strategy under PCV-VG mode can improve intraoperative respiratory mechanics,and increase oxygenation during OLV in patients undergoing thoracoscopic and laparoscopic radical esophagectomy,but it does not significantly affect the incidence of PPCs within 7 d after operation.It is worthy clinical significant.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

China is facing the double burden of high incidence of lung cancer and tuberculosis epidemic. Lung cancer combined with tuberculosis has a high incidence and complexity in clinical practice. High-risk groups include immunocompromised people, long-term smokers and people with a history of tuberculosis. The coexistence of the two diseases not only increases the difficulty of diagnosis and treatment decision-making, but also increases the risk of treatment-related adverse reactions and drug interactions. The guideline was developed by Committee of Integrated Rehabilitation for Lung Cancer, Chinese Anti-Cancer Association; Chinese and Western Integrated Lung Cancer Committee of Chinese Anti-Cancer Association; Society of Tuberculosis, Chinese Medical Association, aiming to standardize the diagnosis and treatment of lung cancer complicated with pulmonary tuberculosis. The guideline emphasizes the core position of combined diagnosis of multimodal imaging, etiology and pathology. It is proposed that anti-tuberculosis and anti-tumor treatment should be coordinated under the framework of multidisciplinary team, and drug interactions and timing optimization should be paid attention to. For surgical treatment, minimally invasive resection combined with systematic lymph node dissection is recommended after infection control. Systemic therapy requires individualized risk stratification and dynamic monitoring of efficacy and adverse reactions. Based on evidence-based medicine and Chinese clinical practice, combined with the accessibility of drugs and technologies, this guideline proposes a whole-process management pathway covering screening, diagnosis, treatment and follow-up, in order to improve the prognosis and quality of life of patients.

OBJECTIVE: This study aimed to explore the interplay between the life-course body mass index (BMI) trajectories and insulin resistance (IR) on incident diabetes. METHODS: This longitudinal cohort included 2,336 participants who had BMI repeatedly measured 3-8 times between 1989 and 2009, as well as glucose and insulin measured in 2009. BMI trajectories were identified using a latent class growth mixed model. The interplay between BMI trajectories and IR on diabetes was explored using the four-way effect decomposition method. Logistic regression and mediation models were used to estimate the interaction and mediation effects, respectively. RESULTS: Three distinct BMI trajectory groups were identified: low-stable ( n = 1,625), medium-increasing ( n = 613), and high-increasing ( n = 98). Both interaction and mediation effects of BMI trajectories and IR on incident diabetes were significant ( P < 0.05). The proportion of incident diabetes was higher in the IR-obesity than in the insulin-sensitivity (IS) obesity group (18.9% vs. 5.8%, P < 0.001). After adjusting for covariates, the odds ratios (95% confidence intervals) of the IR, IS-obesity, and IR-obesity groups vs. the normal group were 3.22 (2.05, 5.16), 2.05 (1.00, 3.97), and 7.98 (5.19, 12.62), respectively. IR mediated 10.7% of the total effect of BMI trajectories on incident diabetes ( P < 0.001). CONCLUSION We found strong interactions and weak mediation effects of IR on the relationship between life-course BMI trajectories and incident diabetes. IS-obesity is associated with a lower risk of incident diabetes than IR-obesity.
Humans ; Insulin Resistance ; Body Mass Index ; Male ; Female ; Middle Aged ; China/epidemiology* ; Adult ; Longitudinal Studies ; Incidence ; Diabetes Mellitus/epidemiology* ; Aged ; Obesity/epidemiology* ; Diabetes Mellitus, Type 2/epidemiology* ; East Asian People