ObjectiveTo investigate the distribution of traditional Chinese medicine （TCM） syndrome elements in type 2 diabetes mellitus （T2DM） patients based on maximum body mass index （maxBMI） and explore their association with complication risks. MethodsA retrospective cross-sectional study was used to collect clinical data from hospitalized T2DM patients， extracting age， gender， smoking history， alcohol consumption history， duration of disease， HbA1c level， complications， and TCM syndromes， and extracting the syndrome elements of disease location and disease nature based on their TCM syndromes. MaxBMI was calculated by telephone survey of patients' self-reported maximum body weight； patients with maxBMI ≥24 kg/m² were classified into spleen-heat syndrome group， and those with maxBMI ＜24 kg/m² were classified into consumptive-heat syndrome group. The distribution of TCM syndrome types and syndrome elements of patients in the two groups were analysed. Then the propensity score matching method was used to balance the baseline characteristics between the two groups and compare the differences in the distribution of syndrome types and syndrome elements and the risk of macrovascular and microvascular complications between the two groups. ResultsAmong the 1178 T2DM patients， syndrome elements in spleen-heat patients （1034 cases） were primarily located in the spleen （351 cases， 33.95%）， liver （240 cases， 23.21%）， and stomach （139 cases， 13.44%）， while in consumptive-heat patients （144 cases）， they were concentrated in the spleen （57 cases， 39.58%）， liver （34 cases， 23.61%）， and kidneys （17 cases， 11.81%）； regarding syndrome elements of disease nature， spleen-heat patients were predominantly characterized by qi deficiency （481 cases， 46.52%）， phlegm （353 cases， 22.73%）， and dampness （241 cases， 23.31%）， whereas consumptive-heat patients showed more qi deficiency （84 cases， 58.33%） and yin deficiency （44 cases， 30.56%）. After propensity score matching， 132 cases were included in each group， and no statistically significant differences were observed in the distribution of syndrome elements of disease location between the two groups （P＞0.05）， but the phlegm element was significantly more prevalent in spleen-heat patients than in consumptive-heat patients （P = 0.006）. Regarding the risk of complications， spleen-heat patients had a significantly higher risk of developing macrovascular complications compared to consumptive-heat patients （OR=2.04， P=0.010）， while no significant differences were found between groups in the occurrence of microvascular complications （P＞0.05）. ConclusionThe spleen-heat T2DM patients show a more frequent syndrome element of disease nature of phlegm， and a higher risk of developing macrovascular complications compared to consumptive-heat patients.

Objective To observe the efficacy and safety of ultrasound-guided musculocutaneous nerve(MCN)block anesthesia in alleviating operative pain during percutaneous transluminal angioplasty(PTA)for hemodialysis internal fistula.Methods A total of 112 patients undergoing internal fistula PTA in the hemodi-alysis center of the nephrologic department of the Second Affiliated Hospital of Army Military Medical Uni-versity from February 2022 to February 2023 were selected.Among them,47 patients applied the ultrasound-guided MCN block anesthesia(MCN block group)and other 65 patients adopted perivascular local infiltration anesthesia in the injured blood vessel section(local anesthesia group).Anesthesia was independently operated by the vascular access doctor.The VAS score,analgesic satisfaction investigation and motor block evaluation were compared between the two groups,and the efficacy and safety of MCN block anesthesia were under-stood.Results The proportion of the patients with motor block score grade 1 in the MCN block group was the highest(93.6％),and there were no patients with the grade ≥3.The proportion of the patients with the VAS score(4-6)points in the local anesthesia group was the highest(52.3％),while the proportion of the patients with the VAS score(1-3)points in the MCN block group was the highest(76.6％);the proportions of(1-3)points,(4-6)points,(7-10)points and the patients with additional anesthesia had statistical differences between the MCN block group and local anesthesia group(P＜0.05).The satisfaction degree of postoperative analgesia in the local anesthesia group was 55.4％,which was lower than 85.1％in the MCN block group,and the difference was statistically significant(P＜0.05).Conclusion The upper arm MCN block anesthesia could effectively relief the operative pain in arteriovenous internal fistula PTA,and is an effective anesthesia method suitable for the independent operation of hemodialysis channel surgeons.

Objective To investigate the effect of whey protein supplementation on rehabilitation of stroke-related sarcopenia patients with diabetes mellitus.Methods Forty-seven stroke-related sarcopenia patients with diabetes mellitus admitted to the First Affiliated Hospital of Wenzhou Medical University from January 2021 to September 2023 were selected and divided into observation group(24 cases)and control group(23 cases)according to random number table method.Patients in both groups were given normal diabetic diet,conventional drug therapy and rehabilitation training,and patients in observation group were given whey protein powder orally every day for 4 weeks.The non-hemiplegic hand grip strength,appendicular skeletal muscle mass index(ASMI),modified Barthel index(MBI),Fugl-Meyer assessment(FMA),mini-nutritional assessment short-form(MNA-SF),serum albumin(Alb),C-reactive protein(CRP)were compared between two groups before and after intervention.Results After intervention,the grip strength,ASMI,FMA,MBI of two groups were significantly higher than before ntervention,and CRP level was significantly lower than before intervention(P<0.05).The grip strength,ASMI,FMA,MBI,MNA-SF score and Alb of observation group were significantly higher than those of control group,while CRP was significantly lower than that of control group(P<0.05).ASMI was positively correlated with Alb,MNA-SF score and grip strength(P<0.05),while CRP was negatively correlated with Alb,MNA-SF score and ASMI(P<0.05).Conclusion Supplementation of whey protein can improve the nutritional status,muscle strength and muscle mass of patients with stroke-related sarcopenia complicated with diabetes mellitus,and improve the physical motor function and the ability of daily living.

To evaluate the advantages of using PBL case library in teaching circulatory system diseases to clinical medicine undergraduate students, a PBL case library was established and applied in teaching practice in the reform of circulatory system teaching. The PBL case library achieved the characteristics of combining theories with cases, morphology with functions, and basic knowledge with clinical knowledge. The PBL case library also realized the informatization, query, and update of cases. Preliminary application showed that the median practical score of students in the case library group was 94.00 points, which was significantly higher than the 92.00 points in the control group ( P=0.005). The average lesson preparation time for teachers in the case library group was (5.00±1.00) hours, which was significantly shorter than the (6.89±0.42) hours in the control group ( P<0.001). The difficulty score for lesson preparation among teachers in the case library group was significantly lower than that of the control group [(1.89±1.05) vs. (3.22±0.44), P<0.001]. However, there were no significant difference in theoretical scores and student satisfaction with teachers and courses. These results suggest that the construction of case library can improve practical teaching effectiveness and enhance the efficiency of lesson preparation for teachers.

Objective Analyzing risk factors for prolonged ICU stay after cardiac surgery of Infective Endocarditis(IE)provides a basis for preventing extended ICU durations in postoperative IE cases.Methods From January 1,2019,to March 31,2021,a total of 223 patients with infective endocarditis who underwent cardiac surgery in the cardiac surgery department of Guangdong Provincial People's Hospital were included.Patients were divided into non-prolonged group(<3 days)and prolonged group(≥3 days)based on postoperative ICU stay duration.There were 156 cases in the non-prolonged group and 67 cases in the prolonged group.Single-factor analysis of risk factors for prolonged ICU stay was conducted using t-tests or rank-sum tests.Variables with P<0.05 in the single-factor analysis were further subjected to binary logistic regression for multivariate analysis.The accuracy of the model was evaluated using the ROC curve.Results Among the 223 patients,67 experienced prolonged ICU stay,with an incidence rate of 30%.Single-factor analysis results included gender,age,history of coronary heart disease,history of stroke,preoperative heart failure,aortic valve regurgitation area,left ventricular end-diastolic diameter,left ventricular ejection fraction(LVEF)<60%,extracorporeal circulation time,aortic cross-clamp time,use of Intra-Aortic Balloon Pump(IABP),endotracheal tube reintubation,pulmonary infection,use of Continuous Renal Replacement Therapy(CRRT),and prolonged mechanical ventilation time(>24 hours),among others.Multivariate analysis results revealed that preoperative LVEF<60%(OR=3.004,P=0.041),postopera-tive use of IABP(OR=31.686,P=0.008),and mechanical ventilation time>24 hours(OR=8.135,P<0.001)were independent risk factors for prolonged ICU stay after cardiac surgery.The model's AUC value for predicting risk factors for prolonged ICU stay was 0.858(95%CI:0.806～0.901,P<0.001).Conclusion Preoperative left ventricular ejection fraction(LVEF)<60%,the use of IABP,and mechanical ventilation time>24 hours were identified as independent risk factors for prolonged ICU stay after infective endocarditis(IE)surgery.In clinical practice,it is important to comprehensively address and manage various risk factors with the aim of reducing ICU stay duration and improving the overall success rate of the surgery.

Objective:To construct an prediction model based on magnetic resonance imaging (MRI) machine learning algorithm and radiomics and investigate its application value in predicting lymphovascular invasion (LVI) status of rectal cancer without lymph node metastasis.Methods:The retrospective cohort study was conducted. The clinicopathological data of 204 rectal cancer patients without lymph node metastasis who were admitted to Gansu Provincial Hospital from February 2016 to January 2024 were collected. There were 123 males and 81 females, aged (61±7)years. All 204 patients were randomly divided into the training dataset of 163 cases and the testing dataset of 41 cases by a ratio of 8∶2 using the electronic computer randomization method. The training dataset was used to construct the prediction model, and the testing dataset was used to validate the prediction model. The clinical prediction model, radiomics model and joint prediction model were constructed based on the selected clinical and/or imaging features. Measurement data with normal distribution were represented as Mean± SD. Count data were described as absolute numbers, and the chi-square test or Fisher exact probability were used for comparison between the groups. Comparison of ordinal data was conducted using the nonparameter rank sum test. The inter-class correlation coefficient (ICC) was used to evaluate the consistency of the radiomics features of the two doctors, and ICC >0.80 was good consistency. Univariate analysis was conducted by corres-ponding statistic methods. Multivariate analysis was conducted by Logistic stepwise regression model. The receiver operating characteristic (ROC) curve was drawn, and the area under the curve (AUC), Delong test, decision curve and clinical impact curve were used to evaluate the diagnostic efficiency and clinical utility of the model. Result:(1) Analysis of factors affecting LVI status of patients. Of the 204 rectal cancer patients without lymph node metastasis, there were 71 cases with positive of LVI and 133 cases with negative of LVI. Results of multivariate analysis showed that gender, platelet (PLT) count and carcinoembryonic antigen (CEA) were independent factors affecting LVI status of rectal cancer without lymph node metastasis in training dataset [ odds ratio=2.405, 25.062, 2.528, 95% confidence interval ( CI) as 1.093-5.291, 2.748-228.604, 1.181-5.410, P<0.05]. (2) Construction of clinical prediction model. The clinical prediction model was conducted based on the results of multivariate analysis including gender, PLT count and CEA. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of clinical prediction model were 0.721 (95% CI as 0.637-0.805), 0.675, 0.632 and 0.698 for the training dataset, and 0.795 (95% CI as 0.644-0.946), 0.805, 1.000 and 0.429 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of clinical prediction model between the training dataset and the testing dataset ( Z=-0.836, P>0.05). (3) Construction of radiomics model. A total of 851 radiomics features were extracted from 204 patients, and seven machine learning algorithms, including logistic regression, support vector machine, Gaussian process, logistic regression-lasso algorithm, linear discriminant analysis, naive Bayes and automatic encoder, were used to construct the prediction model. Eight radiomics features were finally selected from the optimal Gaussian process learning algorithm to construct a radiomics prediction model. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.857 (95% CI as 0.800-0.914), 0.748, 0.947 and 0.642 for the training dataset, and 0.725 (95% CI as 0.571-0.878), 0.634, 1.000 and 0.444 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of radiomics prediction model between the training dataset and the testing dataset ( Z=1.578, P>0.05). (4) Construction of joint prediction model. The joint prediction model was constructed based on the results of multivariate analysis and the radiomics features. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.885 (95% CI as 0.832-0.938), 0.791, 0.912 and 0.726 for the training dataset, and 0.857 (95% CI as 0.731-0.984), 0.854, 0.714 and 0.926 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of joint prediction model between the training dataset and the testing dataset ( Z=0.395, P>0.05). (5) Performance comparison of three prediction models. Results of the Hosmer-Lemeshow goodness-of-fit test showed that all of the clinical prediction model, radiomics prodiction model and joint prediction model having good fitting degree ( χ2=1.464, 12.763, 10.828, P>0.05). Results of Delong test showed that there was no signifi-cant difference in the AUC between the clinical prediction model and the joint prediction model or the radiomics model ( Z=1.146, 0.658, P>0.05), and there was a significant difference in the AUC between the joint prediction model and the radiomics model ( Z=2.001, P<0.05). Results of calibra-tion curve showed a good performance in the joint prediction model. Results of decision curve and clinical impact curve showed that the performance of joint prediction model in predicting LVI status of rectal cancer without lymph node metastasis was superior to the clinical prediction model and the radiomics model. Conclusions:The clinical prediction model is constructed based on gender, PLT count and CEA. The radiomics predictive model is constructed based on 8 selected radiomics features. The joint prediction model is constructed based on the clinical prediction model and the radiomics predictive model. All of the three models can predict the LVI status of rectal cancer with-out lymph node metastasis, and the joint prediction model has a superior predictive performance.

Objective:To evaluate the effect of preoperative cognitive training on postoperative neurocognitive function in elderly patients undergoing coronary artery bypass grafting (CABG) and/or valve surgery.Methods:Seventy-four elderly patients of either sex, of American Society of Anesthesiologists Physical Status classification Ⅲ or Ⅳ, aged 60-90 yr, with body mass index of 19-28 kg/m 2, scheduled for elective CABG or valve surgery under general anesthesia, were divided into 2 groups ( n=37 each) using a computer-generated random number table method: cognitive training group (group CT) and control group (group C). Group CT was instructed to complete a cognitive training once 1 h per day for 5 consecutive days prior to surgery. Group C did not receive any cognitive training before surgery, and routine nursing was performed. At the 7th day after surgery, the patients′ neurocognitive function was evaluated by the Montreal Cognitive Assessment Scale(MoCA), the Postoperative Quality Recovery Scale (PQRS) was used to assess the patients′ recovery status, and the postoperative complications and morality in both groups were recorded. The patients were assessed using the Geriatric Depression Scale, MoCA and PQRS at the 1st month and 3rd month after operation. Results:The MoCA scores were significantly higher at the 7th day, 1st month and 3rd month postoperatively than in group C ( P<0.05). There was no significant difference in the postoperative case fatality rate and incidence of complications between the two groups ( P>0.05). Significant difference was observed in PQRS scores between the two groups at the 7th day after surgery ( P<0.05), but there were no significant differences in the PQRS scores and Geriatric Depression Scale scores between the two groups at the 1st month and 3rd month after operation ( P>0.05). Conclusions:The cognitive training can improve postoperative neurocognitive function in elderly patients undergoing CABG and/or valve surgery.

Objective:To analyze the effectiveness and interobserver agreement of the Parer five-tier, the National Institute of Child Health and Human Development (NICHD) three-tier, and the International Federation of Gynecology and Obstetrics (FIGO) three-tier electronic fetal monitoring (EFM) systems in identification of neonatal acidosis during labor.Methods:This retrospective study was conducted on full-term singleton cephalic deliveries with neonatal acidosis (umbilical artery blood gas pH≤7.1) and normal newborns (umbilical artery blood gas pH≥7.2) in the Nanjing Drum Tower Hospital, Nanjing University Medical School from January to December 2020. EFM tracings during the last 30-60 min before delivery were collected. Four obstetricians independently described the features of randomly sorted and coded EFM tracings. Another obstetrician categorized these tracings using the NICHD three-tier, FIGO three-tier, and Parer five-tier evaluation systems based on the features. All researchers were masked to the clinical characteristics and maternal and neonatal outcomes. The sensitivity and specificity for identifying neonatal acidosis, as well as the interobserver agreement, were analyzed for all three systems. Independent sample t-test, Chi-square (or Fisher's exact test) and Mann-Whitney U tests were used for statistical analysis. Inter-group comparisons of sensitivity and specificity between the three evaluation systems were assessed using McNemar's test. The Kappa statistic was used to analyze interobserver agreement. Results:This study included a total of 3 558 cases. After propensity score matching, there were 44 cases of neonatal acidosis and 78 control cases. There were no significant differences in parity, gestational weeks, modes of delivery, placental abruption, or analgesia rates between the two groups. The rates of instrumental vaginal delivery and neonatal intensive care unit (NICU) admission in the acidosis group were significantly higher than those in the control group [15.8% (7/44) vs. 2.6% (2/78), χ2=8.45, P=0.003; 31.8% (14/44) vs. 12.8% (10/78), χ2=8.45, P=0.004], while the umbilical artery blood pH and mean base excess were lower in the acidosis group than in the control group [7.04±0.07 vs. 7.30±0.05, t=4.98; (－12.40±3.32) vs. (－5.64±1.95) mmol/L, t=13.61; both P<0.001]. (2) Using the NICHD three-tier system, 95.5% (42/44) of the acidosis cases and 89.7% (70/78) of the control cases were classified as having category Ⅱ EFM tracings, indicating potential fetal acid-base imbalance; category Ⅲ EFM tracings were only observed in 4.5% (2/44) of the cases in the acidosis group. With the FIGO three-tier system, 81.8% (36/44) of the acidosis cases were categorized as having "pathological" tracings, and with the Parer five-tier system, 86.4% (38/44) of the acidosis cases were correctly classified into the "orange or red" risk zones that indicated acid-base imbalance. Among the control cases, there were 28.2% (22/78) with EFM tracings of "normal patterns" categorized by the FIGO three-tier system, and 41.0% (32/78) classified into the "green or blue" risk zones by the Parer five-tier system, which indicated good fetal conditions. None of the acidosis cases were misdiagnosed as being normal by the Parer five-tier system. (3) Compared with the NICHD three-tier system, both the FIGO three-tier and the Parer five-tier systems showed increased diagnostic sensitivity [4.5% (1.2%- 14.5%) vs. 81.8% (66.8%-89.4%) and 86.4% (71.8%-92.4%)], but decreased specificity [100.0% (95.3%- 100.0%) vs. 87.2% (78.0%-92.9%) and 84.6% (75.0%-91.0%)]. There was no statistically significant difference in the sensitivity or specificity between the FIGO three-tier and Parer five-tier systems for identifying neonatal acidosis ( P=0.727 and 0.791). (4) When reading the tracings of control cases, the total agreement rate for the NICHD three-tier system by different observers was as high as 94.2%, while the total agreement rates for the FIGO three-tier and Parer five-tier systems were 69.7% and 67.7%, respectively. In the interpretation of EFHR tracings for acidosis cases, the interobserver agreement for the Parer five-tier system was excellent [Kappa (95% CI): 0.87 (0.79-0.95)], while both the NICHD three-tier and FIGO three-tier systems showed good agreement [Kappa (95% CI): 0.77 (0.66-0.88) and 0.72 (0.60-0.84)]. Conclusions:The Parer five-tier and the FIGO three-tier systems have higher sensitivity in identifying neonatal acidosis than the NICHD three-tier system, and the Parer five-tier system achieves a higher negative predictive value and a greater agreement in the interpretation of pathological EFM patterns.

Objective:To compare the diagnostic efficacy of 22 G fine needle aspiration (FNA) needles and 22 G end-cutting fine needle biopsy (FNB) needles for solid pancreatic lesion using both cytological and histological examination.Methods:Clinical data of 116 patients who underwent endoscopic ultrasound-guided fine needle aspiration/biopsy (EUS-FNA/FNB) at the Digestive Endoscopy Center of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine from June 2022 to March 2023 were retrospectively analyzed. Sixty-three patients sampled with 22 G FNA needles were the FNA group, and 53 sampled with 22 G FNB needles were the FNB group. The diagnostic accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and cytological and histological diagnostic yield of FNA needles and FNB needles for solid pancreatic lesions were compared.Results:There were no significant differences in age, gender, lesion location, lesion size, or the number of passes between the FNA group and the FNB group ( P>0.05). There were no significant differences in the diagnostic accuracy [93.7% (59/63) VS 90.6% (48/53), P=0.730], sensitivity [93.0% (53/57) VS 90.2% (46/51), P=0.732], specificity [100.0% (6/6) VS 100.0% (2/2), P=1.000], positive predictive value [100.0% (53/53) VS 100.0% (46/46), P=1.000] and negative predictive value [60.0% (6/10) VS 28.6% (2/7), P=0.335] of combined cytology and histology in distinguishing benign and malignant lesions between the two groups. In the FNA group, the diagnostic accuracy of combined cytology and histology was higher than cytology alone [93.7% (59/63) VS 81.0% (51/63), P=0.008], and was higher than histology alone without statistical significance [93.7% (59/63) VS 87.3% (55/63), P=0.125]. In the FNB group, the diagnostic accuracy of combined cytology and histology was higher than cytology alone [90.6% (48/53) VS 69.8% (37/53), P=0.001], but not than histology alone [90.6% (48/53) VS 90.6% (48/53)， P=1.000]. For solid masses located in pancreatic body/tail, the diagnostic accuracy for malignancy by histology using FNB needles tended to be higher than that of FNA needles [100.0% (17/17) VS 81.3% (26/32), P=0.080]. Conclusion:Both FNA needles and FNB needles exhibit adequate diagnostic yield for solid pancreatic masses when combining cytology and histology. FNB needles may offer a higher histological diagnostic yield.

It is the current confusion encountered by integrated Chinese and Western medicine that how to find the breakthrough direction of integrating Chinese and Western medicine， from crossover to integration to innovation， and open up a new horizon of integrated Chinese and Western medicine. The progress of Chinese medicine lay in expanding the scope of diagnosis and treatment with the help of modern diagnostic and therapeutic equipments and developing “micro” identification， while the progress of Western medicine lay in looking at “macro” and developing systemic medicine and integrated medicine， both of which are in the direction of each other. The “state-target identification and treatment” may become an important way to build a modern diagnosis and treatment system of integrated Chinese and Western medicine， and the thinking mode of “from target to state” is a further refinement and development on the basis of the theoretical system of “state-target identification and treatment”， which provided a clearer solution for the current stage of the integrated Chinese and Western medicine model， and pointed out the important development direction for the future integrated Chinese and Western medicine. From the perspective of strategic level and diagnosis and treatment practice， it integrated the “target-state” thinking mode into the modern diagnosis and treatment model of the integrated Chinese and Western medicine， i.e.， “Western medicine as the basis and treating with Chinese medicine； Chinese medicine as the basis and treating with Western medicine”. On the one hand， Western medicine should strengthen the reference to the traditional theories and holism of Chinese medicine， and advocate a higher level of education on the integrated Chinese and Western medicine under the guidance of the traditional theories of Chinese medicine. On the other hand， the “from target to state” mode of thinking should be applied to guide the establishment of diagnostic and treatment strategies and clinical selection of medicines in clinical practice， so as to locate the target and adjust the body state in a gradual and orderly manner， and to provide practical methods for the modern clinical work of the integrated Chinese and Western medicines. Chinese and Western medicine systems can learn from each other， combine organically， give full play to their respective strengths， and form an internal law， so as to make breakthroughs and innovations in the integrated Chinese and Western medicine model.