Objective To quantitatively assess the association of short-term exposure to polycyclic aromatic hydrocarbons (PAHs) in ambient fine particulate matter (PM2.5) with residents mortality. Methods A time-stratified case-crossover study was conducted from 2020 to 2022 among 10606 non-accidental residents by using the Guangzhou Cause of Death Surveillance System in Conghua District, Guangzhou. Exposure levels of PAHs in PM_2.5 and meteorological data during the study period were obtained from the Center for Disease Control and Prevention in Conghua District and the China Meteorological Administration Land Data Assimilation System (CLDAS-V2.0), respectively. Conditional Poisson regression model was used to estimate the exposure-response association between PAHs and the mortality risk. Results Fluoranthene, chrysene, benzo[k]fluoranthene, benzo[a]pyrene, and indeno[1,2,3-cd]pyrene were significantly associated with an increased risk of mortality. For every one interquartile range increase in exposure levels, the non-accidental mortality risks increased by 8.33% (95% CI: 1.80%, 15.27%), 4.67% (95% CI: 1.86%, 7.57%), 6.07% (95% CI: 2.08%, 10.21%), 4.62% (95% CI: 1.85%, 7.47%), and 4.70% (95% CI: 0.53%, 9.03%), respectively. The estimated non accidental deaths attributable to exposure to fluoranthene, chrysene, benzo[k]fluorine, benzo[a]pyrene and indine[1,2,3-cd]pyrene were 5.91%, 6.08%, 6.51%, 6.46%, and 4.21%, respectively. Conclusions Short-term exposure to PAHs in PM_2.5, including fluoranthene, chrysene, benzo[k]fluoranthene, benzo[a]pyrene and indine[1,2,3-cd]pyrene, was significantly associated with an increased risk of mortality among residents.

Background Exposure to air pollutants increases the risk of diseases in multiple systems, including respiratory and cardiovascular systems, yet its association with neurological diseases remains unclear. Objective To quantitatively evaluate the association between short-term exposure to air pollutants and outpatient and emergency visits for neurological diseases, identify potential susceptible populations, and quantify associated disease burden. Methods Daily 24-hour average concentrations of fine particulate matter (PM_2.5), inhalable particulate matter (PM₁₀), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), and carbon monoxide (CO), daily maximum 8-hour average concentration of ozone (O₃), daily meteorological data (24-hour average temperature, 24-hour average relative humidity), and data on daily outpatient and emergency department visits for neurological diseases from two hospitals in Conghua District, Guangzhou, China, were collected from 2015 to 2022. A time-stratified case-crossover design was adopted, and a conditional Poisson regression model was constructed to analyze the association between air pollution exposure and neurological disease visits. Two-pollutant models and sensitivity analysis were used to validate model stability. Stratified analyses by season (cold season: from November to March; warm season: from April to October), sex (male, female), and age (≤45 years, 46–60 years, ≥61 years) were performed to identify vulnerable group. Additionally, the number and proportion of neurological disease visits attributable to short-term air pollutant exposure were calculated. Results A total of 72 673 outpatient and emergency department visits for neurological diseases were included during the study period. Most of the patients were middle-aged and elderly individuals (69.89% were over 45 years old) and females (60.25%). The results of single-pollutant models showed that for each interquartile range (IQR) increase in exposure to PM_2.5, PM₁₀, SO₂, NO₂, CO, and O₃, the risk of outpatient and emergency department visits for neurological diseases increased by 7.54% (95%CI: 4.69%, 10.46%), 6.66% (95%CI: 3.92%, 9.46%), 16.72% (95%CI: 10.58%, 23.19%), 8.12% (95%CI: 4.82%, 11.53%), 5.60% (95%CI: 2.34%, 8.97%), and 6.11% (95%CI: 2.91%, 9.40%), respectively. The results of the two-pollutant model showed that the association between PM_2.5 and SO₂ exposure and outpatient and emergency department visits for neurological diseases were relatively stable. The stratified analyses showed that the effect of SO₂ was stronger in the cold season. It was estimated that 8.32% (95%CI: 5.55%, 10.96%) and 6.65% (95%CI: 4.27%, 8.96%) of the outpatient and emergency department visits were attributable to short-term exposure to SO₂ and PM_2.5, respectively. Conclusion Exposure to PM_2.5 and SO₂ is associated with increased risks of outpatient and emergency visits for neurological diseases. SO₂ shows stronger effects during the cold season, and exposure to air pollution contributes to up to 8.32% of neurological disease visits.

Objective To explore the effectiveness of an integrated laparoscopic simulation training course (best essential surgical technique training, BEST) in enhancing laparoscopic peritoneal suturing techniques in surgical residents.Methods As an integrated two-stage program, the BEST course applied basic laparoscopic training system with simple molds in phase Ⅰ training, and then adopted advanced laparoscopic training system, 3D Laparoscope and ex-vivo animal models in phase Ⅱ training. The laparoscopic suturing techniques were practiced in phase Ⅱ training. From August 2021 to July 2024, surgical residents in the second year of the national standardized training program were divided into pilot and control groups based on whether they had undergone the BEST course. Two cases of laparoscopic peritoneal suture were performed by the surgical residents under supervision in the department of gastrointestinal surgery. The operative time, quality of suture, and independent completion rate were compared between the two groups.Results A total of 33 surgical residents (19 in pilot group and 14 in control group) were included in this study, and a total of 66 cases of laparoscopic peritoneal suture were performed (38 in pilot group and 28 in control group). The operative time was significantly shorter in pilot group than that in control group (15.7 min vs. 17.5 min, P=0.025). The quality of suture was significantly better in pilot group compared to control group (P=0.023). In pilot group, all peritoneal sutures were performed by residents independently, whereas in control group, 3 cases (10.7%) were assisted by the supervisor, and the independent completion rate was different significantly (P=0.039).Conclusions The BEST course can help improve surgical residents′ laparoscopic peritoneal suturing techniques and could be promoted in the national standardized training program for surgical residents.

Thyroid carcinoma is one of the malignant tumors with rapidly increasing incidence rates. Some refractory patients face challenges from drug toxicity and resistance, urgently requiring the discovery of new therapeutic pathways to improve prognosis. Regulatory cell death（RCD）is a highly regulated orderly death mode, including apoptosis, necroptosis, pyroptosis, ferroptosis, and cuproptosis. Recent studies have found that RCD is closely associated with tumor progression, invasion, and resistance. This article systematically reviewed various death modes in thyroid cancer, including the core signaling nodes of each death pathway, and explored their specific functions in tumor progression. It also summarized potential therapeutic strategies targeting these death pathways. However, the complexity of RCD mechanisms and the sensitivity of treatments remain controversial. Future efforts should focus on screening broad-spectrum targets and developing synergistic therapies to ultimately achieve precise treatment based on cell death, thereby improving the prognosis of refractory thyroid cancer.

OBJECTIVE To explore the role of the establishment of the trans-regional review system on rational drug use in second-grade general hospital ，and to promote the rational drug use. METHODS With the administrative support of Jiuquan Health Commission，5 second-grade general hospitals in Jiuquan Medical Association jointly established Jiuquan Rational Drug Use Review Training Center . A trans-regional review system was established to carry out cross-review of prescriptions and medical orders among 5 second-grade general hospitals. Totally 1 500 prescriptions and 900 medical records were collected from 5 second-grade general hospitals before （April to June ，2020）and after （July to September ，2020）the implementation of the project. The changes of rational drug use indicators ，the results of prescriptions and medical order review were investigated before and after the implementation of the project. RESULTS After the implementation of the project ，except for one hospital ，the proportion of drugs in other hospitals decreased to varying degrees with the highest decline rate of 22.56％ . Compared with before the implementation of the project ，reasonable rate of outpatient and emergency prescription review increased by 5.72％ averagely and the reasonable rate of medical order review increased by 10.10％（P＜0.05）. The average utilization rate of antibiotics in outpatients decreased by 14.45％，the average utilization rate of antibiotics in inpatients decreased by 7.98％，and the average use intensity of antibiotics decreased by 25.19％. CONCLUSIONS Through the establishment of trans-regional review system ，medical institutions can be forced to pay more attention to prescription review ，effectively improve the prescription review of pharmacists in medical institutions，and promote the rational use of drugs in medical institutions in the region. However ，there are still some problems ， such as incomplete system coverage ，insufficient work experience ，lagging of informatization ，uneven pharmacist level ，and insufficient assessment and supervision of administrative functional departments.

China ; Esophageal Neoplasms ; Humans ; Length of Stay ; Malnutrition ; Mass Screening ; Postoperative Complications ; ROC Curve ; Sensitivity and Specificity

Objective To explore the feasibility of the deep convolutional neural network (DCNN) judging the indications and prognosis of the total knee arthroplasty based on the trained DCNN computer learning system.Methods C1FAR-10 DCNN model based on TensorFlow (an open source system,Google,USA) optimized by Alex Krizhevsky were constructed.There were 400 cases with knee osteoarthritis from different databases used for analysis.Three hundred patients underwent total knee arthroplasty,while 100 did not.X-ray of 200 preoperative cases from the 400 cases and their enlarged image (50 times) were applied for training DCNN,while the enlarged images from other 200 cases were used to test the DCNN.The correlation and the regression between judgment of the DCNN and clinical truth were analyzed.The clinical truths were rechecked three times and were confirmed by treatment results.Pearson correlation and linear regression analysis were used.The relation test of the software was only used as a reference.Results There was no significant difference between the baseline of cases for learning and test.After learning 200 cases,the DCNN judged the 10 000 cases enlarged from remaining 200 cases.The correlation between the DCNN judgment and the clinical truth was not significant (r=0.000,F=0.001,P=0.970).False positive was observed in 1 681 cases,false negative in 3 296.After enlarged to 10 000 images,the correlation between the two judgments was significant (F=11 228.735,P=0.000,r=0.727 and R2=0.529).The software detection precision was 0.860.Conclusion DCNN can be applied in judging the indications of the total knee arthroplasty.Large sample size can improve the accuracy of the judgment significantly.

Objective To assess the effect of thoracoscopic surgery under laryngeal mask anesthesia and explore the nursing strategies. Methods Thirty-five patients from April to December in 2014 undergoing video-assisted thoracoscopic surgery (VATS) were given intubation anesthesia and another thirty-five ones undergoing the same surgery in 2015 received laryngeal mask anesthesia. The two groups were compared in terms of surgery conditions, surgery complication and ambulation time. Results No significant differences were found in surgery time or blood loss between two groups (P>0.05). The postoperative waking time in the mask anesthesia group was significantly shorter than that of the intubation anesthesia group (P<0.05), and ambulation time was significantly shortened (P<0.05). The rates of throat discomfort, hoarseness and gastrointestinal reactions were significantly lower. Conclusions Laryngeal mask anesthesia used in small thoracoscopic surgery for airway management is safe and feasible. Combined with training in respiration and limb function, better analgesia and nursing, it can keep away complications related to intubation anesthesia, shorten hospital stay and accelerate postoperative rehabilitation.

Objective To investigate the impact of surgical resection on patients with Ⅱ-Ⅲ A stage small cell lung carcinoma (SCLC). Method Data of 61 in-patients who diagnosed as Ⅱ-ⅢA stage SCLC from Jan 1st 2009 to Feb 1st 2014 were analyzed. 23 patients underwent surgical resections were enrolled as the treatment group, while 38 patients without surgical resection were enrolled as the control group. Disease progression was confirmed by monthly examination. The grouping is balanced by propensity score match. The progression-free survival (PFS) time and overall survival(OS) were analyzed with Kaplan-Meier survival method and Cox regression is applied to analyze the covariates. Fisher's exact test was applied to compare one-year survival rate and two-year survival rate. Results The PFS and OS of the treatment group is longer than that of the control group (P < 0.05). Both one-year and two-year survival rates of the treatment group outnumber those of the control group (P < 0.05). Cox regression indicates that surgical resection is an independent prognostic factor (P < 0.05). Conclusion Surgical resection on tolerable patients with stage Ⅱ-Ⅲ A small-cell lung carcinoma is effective on improving the progression-free survival time,one-year and two-year survival rates,and also shows a propensity of a higher overall survival time.

Objective To investigate the consistency in 18F-deoxyglucose positron emission tomography (18F-FDG PET-CT) examination and histopathological analyses in the diagnoses of resectable lung tumors. Methods Retrospective reviews over the clinical data of lung tumor patients by preoperative PET-CT diagnosis and postoperative histopathological diagnosis were conducted to investigate the effects of the two diagnostic methods in terms of lung tumor properties , mediastinal lymph node metastasis , and pulmonary hilar lymph node metastasis. Results The diagnoses by preoperative PET-CT was consistent in differentiation of non-malignancy and malignancy of pathologic lung tumors by 87.3%, at a medium level (κ = 0.401, P < 0.001). McNemar test showed P = 0.508, indicating the two diagnostic methods were insignificantly different in the diagnosis of pulmonary tumors. The preoperative PET-CT was consistent in the diagnosis of the metastasis of pathologic mediastinal lymph node by 85.9%, at a medium level (κ = 0.697, P < 0.001). McNemar test showed P =0.754, indicating no significant difference between the diagnostic methods. The preoperative PET-CT was consistent with postoperative pathological examinations in the differentiations of the metastasis of pulmonary and hilar lymph node by 77.4%, at a medium level (κ=0.523, P < 0.001). McNemar test showed P = 0.454, indicating the two diagnostic methods were no significantly different. Conclusion Preoperative PET-CT and histopathologic examinations may be consistent in lung tumor diagnosis , which provides a basis for a certain significance in the surgical options.