A domestically produced self-expanding transcatheter aortic valve controllable bending delivery system(VitaFlow? Ⅲcontrollable bending retrievable delivery system)was first used to perform transcatheter aortic valve replacement(TAVR)in a symptomatic severe aortic valve stenosis patient with severe heart failure and high risk of surgery in China on September 22,2023.The patient successfully completed TAVR under general anesthesia,with good valve position and function after the operation.Before discharge and at one month of follow-up,the patient's symptoms and degree of heart failure were significantly improved.The follow-up results of this case showed that the VitaFlow? Ⅲ controllable bending retrievable delivery system for TAVR is safe and feasible,and future prospective,multicenter clinical trials are expected to evaluate its efficacy.

[Objective]To introduce the clinical experience of Director ZHANG Guoliang,a famous and highly-experienced traditional Chinese medicine practitioner,in treating cough in convalescent period of Corona Virus Disease 2019(COVID-19)with exterior and interior differentiation therapy.[Methods]Based on the relevant discussions on epidemic diseases and coughs by doctors of all ages and the experience of more than 300 COVID-19 patients treated by Director ZHANG himself,the understanding of Director ZHANG on the etiology and pathogenesis of cough in convalescent period of COVID-19 was expounded,and his experience in treating cough in convalescent period of COVID-19 with exterior and interior differentiation therapy was summarized,and a typical case was interpreted.[Results]Director ZHANG believes that treatment of cough in convalescent period of COVID-19 should start from the disease location.The disease is located in the nose and pharynx,and the exterior treatment method is adopted,focusing on ventilating the lung and dissolving phlegm,dispelling wind and relieving cough.In clinical practice,a combination of Banxia Houpu Decoction and Zhisou Powder is commonly used,added or subtracted according to the symptoms.The disease is located in the trachea and lungs,and the interior treatment method is adopted,and the phlegm turbidity(phlegm heat)accumulation in lung syndrome focuses on clearing the lungs and dissolving phlegm,relieving cough and asthma,added or subtracted Maxing Shigan Decoction,Qianjin Weijing Decoction combined with Tingli Dazao Xiefei Decoction are often used.Qi and Yin deficiency syndrome should clear the lungs and dissolve phlegm,invigorate Qi and nourish Yin,generally use added or subtracted Zhuye Shigao Decoction combined with Shengmai Drink.The medical case attached belonged to the phlegm and pharyngeal syndrome,Director ZHANG first treated with ventilating the lung and resolving phlegm,dispelling wind and relieving cough,then strengthening the spleen and invigorating Qi,drying dampness and resolving phlegm,and finally achieved good results.[Conclusion]Director ZHANG's unique opinion and clinical experience in the treatment of cough in convalescent period of COVID-19 with exterior and interior differentiation therapy are worth learning and promoting.

BACKGROUND:With the further development of minimally invasive concepts,unicompartmental knee arthroplasty has become an important treatment for osteoarthritis of the knee;however,early postoperative pain adversely affects the recovery process,so effective analgesic measures are necessary.Femoral nerve block and cocktail therapy are common analgesic methods for unicompartmental knee arthroplasty,but there is a lack of studies confirming the analgesic effect and safety of their combined application. OBJECTIVE:To investigate the analgesic effect of cocktail therapy combined with femoral nerve block in unicompartmental knee arthroplasty. METHODS:One hundred patients who received unicompartmental knee arthroplasty from October 2021 to January 2023 were selected as the study subjects.They were divided into a control group(n=50)and a study group(n=50)using a random number table method.The femoral nerve block was used in the control group,while cocktail therapy combined with femoral nerve block was used in the study group during unicompartmental knee arthroplasty.Postoperative analgesia effect,analgesic frequency of dezocine injection within 2 days after surgery,motion range of affected knee joint,KSS function scores,and the occurrence of postoperative adverse reactions were compared between the two groups. RESULTS AND CONCLUSION:(1)Visual analog scale scores in the study group were lower than those in the control group at 12,24,and 48 hours after surgery(P<0.05).(2)The analgesic frequency of dezocine in the study group was less than that in the control group within 2 days after surgery(P<0.05).(3)The motion range in the study group was higher than that in the control group 1 and 3 days after surgery(P<0.05).On day 14 after surgery,there was no significant difference in motion range between the two groups(P>0.05).(4)The knee KSS score in the study group was higher than that in the control group at 2 weeks after surgery(P<0.05).There was no statistically significant difference in knee KSS scores between the two groups from 6 weeks to 6 months after surgery(P>0.05).(5)The difference in the occurrence of adverse reactions within 14 days after surgery was not significant between the two groups(P>0.05).(6)These results show that the use of cocktail therapy combined with femoral nerve block in unicompartmental knee arthroplasty can effectively reduce postoperative pain,improve the analgesic effect,reduce the frequency of analgesic drugs,and improve motion range of the early affected knee joint of patients.

Background Arsenic, cobalt, barium, and other individual metal exposure have been confirmed to be associated with the incidence of kidney stones. However, there are few studies on the association between mixed metal exposure and kidney stones, especially in occupational groups. Objective To investigate the association between mixed metal exposure and kidney stones in an occupational population from a metal smelting plant. Methods A questionnaire survey was conducted to collect sociodemographic characteristics, medical history, and lifestyle information of 1158 mixed metal-exposed workers in a metal smelting plant in Guangdong Province from July 2021 to January 2022. Midstream morning urine samples were collected from the workers, the concentrations of 18 metals including lithium, vanadium, chromium, manganese, cobalt, nickel, copper, zinc, arsenic, selenium, strontium, molybdenum, cadmium, cesium, barium, tungsten, titanium, and lead were measured by inductively coupled plasma mass spectrometry, and the urinary mercury levels were measured by cold atomic absorption spectroscopy. Based on predetermined inclusion criteria, a total of 919 mixed metal-exposed workers were included in the study, including 117 workers in the kidney stone group and 802 workers in the non-kidney stone group. With a detection rate of urinary metals greater than 80% as entry criterion, 16 eligible metals were finally included for further analysis. Parametric or non-parametric methods were used to compare the differences between continuous or categorical variables of the non-kidney stone group and the kidney stone group. Logistic regression models were constructed to explore the association between individual metal exposures and kidney stones. Weighted quantile sum (WQS) regression models were used to evaluate the association between mixed metal exposure and kidney stones, as well as the weights of each metal on kidney stones. Then Bayesian kernel machine regression (BKMR) models were used to explore the overall effect of mixed metal exposure on renal calculi and the potential interactions between metals. Results We found that there were significant differences in sex, age, length of service, and body mass Index (BMI) between the non-kidney stone group and the kidney stone group (P<0.05). The urinary concentrations of molybdenum and barium in the kidney stone group were higher than those in the non-kidney stone group, and the differences were statistically significant (P<0.05). The logistic regression models demonstrated that urinary cobalt, arsenic, molybdenum, and barium were positively correlated with the risk of kidney stones (P_trend<0.05). The WQS regression models showed that the mixed exposure to vanadium, cobalt, arsenic, molybdenum, and barium was positively associated with the risk of kidney stones (P<0.05). Among them, molybdenum, arsenic, and barium accounted for 0.391, 0.337, and 0.154, respectively. The BKMR results revealed a positive association between metal mixture exposure and the risk of kidney stones (P<0.05). When other metals were fixed at the 25th, 50th, or 75th percentile, arsenic, molybdenum, cobalt, and barium exhibited significant positive effects on the risk of kidney stones (P<0.05), while vanadium showed a significant negative effect (P<0.05). The interaction analysis demonstrated interactions between barium and cobalt, as well as between vanadium and cobalt (P<0.05). Conclusion In the occupational population of this smelter, occupational mixed metal exposure could increase the risk of kidney stones, and the main metals are molybdenum, arsenic, barium, and cobalt.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

Percutaneous vertebroplasty is the main surgical therapeutic procedure for vertebral fractures and osteolytic metastases.Although the technique has been widely used clinically,recent studies have reported an increasing number of complications.Heart rupture and pulmonary embolism caused by bone cement leakage are the extremely rare and serious complications.We herein present a case of cardiac rupture and pulmonary embolism caused by bone cement after percutaneous vertebroplasty.

Objective To investigate the effects of long-term exposure to three new types of light emitting diode (LED) sources on the behavior, learning, and memory of rats. Methods A total of 160 specific pathogen-free SD rats were divided into eight groups as followed, trichromatic fluorescent lamps color temperature control group, violet-chip full-spectrum white LED group, blue-chip white LED group, and blue-chip full-spectrum white LED group based on the light sources types, with color temperature of 4 000 K and 6 500 K groups in each group using the 4×2 factorial design. There were 20 rats in each group, with half of the rats were males and half females. Rats were exposed to artificial lighting, and the illumination was set at 750 lx. The rats in each group were exposed to different lighting environments for 12 hours per day for 24 weeks. The open-field and step-down tests were conducted in rats after 24 weeks exposure, followed by sacrifice of rats and measurement of organ coefficients. Differences in body weight, organ coefficients, and neurobehavioral indexes of rats in different groups were compared. Results The spleen coefficient of female rats decreased in blue-chip white LED of 6 500 K color temperature group, and the liver coefficient of male rats decreased in the violet-chip full-spectrum white LED of 4 000 K color temperature, blue-chip full-spectrum white LED of 4 000 K color temperature, and blue-chip full-spectrum white LED of 6 500 K color temperature groups, compared with the same-sex rats in trichromatic fluorescent lamps with same-color temperature control group (all P<0.05). The result of different types of light sources compared in the open-field test showed that the index of total distance and movement speed of female rats in the blue-chip full-spectrum white LED group were lower than those in the other three groups, and the time cost to the central area was longer than that in the blue-chip white LED group and the violet-chip full-spectrum white LED group (all P<0.05). The total distance and movement speed of male rats in the blue-chip full-spectrum white LED group were longer or higher than those in the violet-chip full-spectrum white LED group (all P<0.05). Based on the comparison of color temperature, the time and total distance of male rats in 6 500 K color temperature group were lower than that in the 4 000 K color temperature group (both P<0.05). In the step-down test, both male and female rats in the blue-chip full-spectrum white LED group made more errors compared with other three groups with the same gender (all P<0.05). Conclusion Based on the experimental conditions of this study, the blue-chip full-spectrum white light LED affects behavior, learning and memory of the rats, and trichromatic fluorescent lamp has the lowest effect on neurobehavior. The color temperature also affects behavior of the rats, and high color temperature has higher risk.

Objective:To investigate the influencing factors of anastomotic leakage after laparoscopic intersphincter resection (ISR) for extremely low rectal cancer and construction of nomogram prediction model.Methods:The retrospective case-control study was conducted. The clinicopathological data of 812 patients who underwent laparoscopic ISR for extremely low rectal cancer in the Second Affiliated Hospital of Naval Medical University (Shanghai Changzheng Hospital) from February 2012 to February 2022 were collected. There were 459 males and 353 females, aged (51±11)years. Observation indicators: (1) surgical situations; (2) follow-up; (3) influencing factors of postoperative anastomotic leakage; (4) construction and evaluation of nomogram prediction model for postoperative anastomotic leakage. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(range). Count data were described as absolute numbers. The COX proportional hazard model was used for univariate and multivariate analyses. The R software(3.5.1 version) was used to construct nomogram prediction model. The receiver operating characteristic (ROC) curve was drawn and the area under curve (AUC) was used to evaluate the efficacy of the nomogram prediction model. The Bootstrap method was used for internal verification and to calculate the average consistency index (C-index). Results:(1) Surgical situations. All 812 patients underwent laparoscopic ISR for extremely low rectal cancer, including 388 cases undergoing partial ISR, 218 cases undergoing subtotal ISR and 206 cases undergoing complete ISR. All 812 patients underwent ileal protective ostomy, and there were 306 cases with double anastomosis and 203 cases with left colic artery preserved, respectively. The operation time and volume of intraoperative blood loss of 812 patients was (179±33)minutes and (33±13)mL, respectively. (2) Follow-up. All 812 patients were followed up for (13.5±0.9)months. Of the 812 patients, there were 62 cases with postoperative anastomotic leakage and the healing time of these cases was (33±6)days. (3) Influencing factors of postoperative anastomotic leakage. Results of multivariate analysis showed that male, neoadjuvant chemoradiotherapy, failure of reser-ving left colic artery were independent risk factors of anastomotic leakage after laparoscopic ISR for extremely low rectal cancer ( hazard ratio=5.98, 4.00, 16.26, 95% confidence interval as 1.66-24.12, 1.30-12.42, 3.00-90.89, P<0.05). (4) Construction and evaluation of nomogram prediction model for postoperative anastomotic leakage. According to the results of multivariate analysis, male, neoadju-vant chemoradiotherapy and failure of reserving left colic artery were used to construct the nomogram prediction model for anastomotic leakage after laparoscopic ISR for extremely low rectal cancer, and the score of these indexes in the nomogram prediction model was 50, 49, 93, respectively. The total score of these index corresponded to the incidence rate of anastomotic leakage. Results of ROC curve showed that the AUC of nomogram prediction model of anastomotic leakage after laparoscopic ISR for extremely low rectal cancer was 0.87 (95% confidence interval as 0.80-0.93, P<0.05), with sensi-tivity and specificity 0.96 and 0.60, respectively. Results of internal verification showed that the C-index of nomogram prediction model was 0.87. Conclusion:Male, neoadjuvant chemoradiotherapy, failure of reserving left colic artery are independent risk factors of anastomotic leakage after laparo-scopic ISR for extremely low rectal cancer, and the nomogram prediction model based on these indexes can predict the incidence rate of postoperative anastomotic leakage.

Background Occupational exposure to lead, cadmium, or arsenic is a potential risk factor for blood pressure elevation. Current studies mainly focus on the relationship between a single metal and blood pressure. However, mixed metal exposure often exists in the actual working environment, and the interactive effects of polymetallic interactions on blood pressure and the dose-effect relationship remain unclear yet. Objective To explore the influence proportion of occupational exposure to lead, cadmium, or arsenic on blood pressure and their interactive effects. Methods From January to December 2021, workers from a smelter in southern China were selected. Demographic characteristics, height, weight, and blood pressure of workers were collected through questionnaire and physical examination. At the same time, their urine samples were collected and the levels of urinary lead, urinary cadmium, and urinary arsenic were detected by inductively coupled plasma mass spectrometry, and corrected by urinary creatinine (Cr). Linear regression and logistic regression were used to analyze the relationship between urinary lead, cadmium, and arsenic and blood pressure. Weighted quantile sum (WQS) regression was applied to evaluate the dose-effect relationship between urinary lead, cadmium, and arsenic exposures and blood pressure and the effect weight of each metal on blood pressure. Generalized linear regression and additive/multiplicative scaling were used to identify interactive effects of the three metals on blood pressure. Results A total of 1075 workers were included in this study, with a mean age of (44.68±5.11) years and mean working seniority of (24.66±5.23) years. There were 891 males (88.9%) and 184 were females (17.1%); 24.7% workers were drinkers and 45.7% workers were smokers; 302 workers (28.1%) reported hypertension and 37 of them were taking antihypertensive drugs. The P₅₀ (P₂₅, P₇₅) levels of urinary lead, urinary cadmium, and urinary arsenic were 6.11 (3.71, 11.08), 3.88 (2.68, 5.44), and 26.04 (19.99, 35.11) μg·g⁻¹, respectively. After adjusting for gender, age, working seniority, body mass index, smoking, drinking, and the usage of antihypertensive drugs, systolic and diastolic blood pressure increased by 0.772 and 0.418 mmHg respectively for 10% increase in lead, cadmium, and arsenic mixed exposure. Urinary cadmium, among the three single exposures, had the greatest effect on systolic and diastolic blood pressure, weight (w)=0.523 and 0.551 respectively. The interaction of urinary lead and urinary cadmium was positively correlated with the occurrence of hypertension, multiplicative interaction OR (OR_int)=1.88 (95%CI: 1.09, 3.63), attributable proportion due to interaction (AP)=1.19 (95%CI: 0.40, 8.18). Conclusion This study shows that mixed exposure to lead, cadmium, and arsenic has a positive relationship with blood pressure, in which cadmium plays a major role. Co-exposure to lead and cadmium has a positive interactive effect on hypertension development and systolic blood pressure elevation.

Objective:To investigate the construction and application value of a nomogram predictive model for the prognosis of rectal cancer liver metastases based on Surveillance, Epidemio-logy, and End Results (SEER) database.Methods:The retrospective cohort study was conducted. The clinicopathological data of 6 192 patients with rectal cancer liver metastases in the SEER database ( http://seer.cancer.gov/) and 312 patients who were admitted to The Second Affiliated Hospital of Naval Medical University January 2010 to December 2016 were collected. Of 6 192 patients, there were 3 592 males and 2 600 cases. There were 1 076 cases with age lower than 50 years, 2 862 cases with age as 50-69 years, 2 254 cases with age equal to or more than 70 years, respectively. Of 312 pati-ents, there were 177 males and 135 cases. There were 51 cases with age lower than 50 years, 155 cases with age as 50-69 years, 109 cases with age equal to or more than 70 years, respectively. Patients of the SEER database were set as the training set, and patients in The Second Affiliated Hospital of Naval Medical University were set as the validation set. Univariate and multivariate COX proportional hazards regression models were used to analyze risk factors associated with prognosis, and construct and verify the accuracy of nomogram predictive model for the prognosis of rectal cancer liver metas-tasis. The training set were used to construct the nomogram prediction model, and the validation set were used to verify its performance. Observation indicators: (1) prognostic factors analysis in patients with rectal cancer liver metastases; (2) construction and verificative of the predictive model for the prognosis of rectal cancer liver metastasis. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Count data were described as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data was analyzed using the rank sum test. The COX regression model was used for univariate and multivariate analyses. Kaplan-Meier method was used to calculate survival rates, and Log-Rank test was used for survival analysis. Results:(1) Prognostic factors analysis in patients with rectal cancer liver metastases. Results of multivariate analysis showed that age >50 years, TNM Ⅱ-Ⅳ stage, stage T3-T4, stage N1-N2, the number of lymph nodes dissected <12, tumor diameter >5.1 cm, positive carcinoembryonic antigen, peripheral nerve infiltration, radiotherapy and adjuvant chemotherapy, poorly differentiated or undifferented tumor were independent prognostic factors of patients ( P<0.05). (2) Construction and verification of the predictive model for the prognosis of rectal cancer liver metastasis. A nomogram predictive model for the prognosis of rectal cancer liver metastasis was constructed based in the multivariate analysis. The C-index of the nomogram predictive model was 0.91, with area under the curve as 0.726, indicating a good discriminant ability. Results of the calibration curve in validation dataset showed that the colorectal cancer survival rate predicted by the nomogram predictive model was consistent with the actual survival rate. Conclusion:The nomogram predictive model can accurately predict the survival probability of patients with rectal cancer liver metastases.