Objective:To comprehensively understand the operational status and existing problems of the neurosurgery professional training bases for standardized residency training in Guangdong Province.Methods:According to the scoring rules of "Standardized Residency Training Evaluation Indicators—Surgery (Neurosurgery) Professional Base" formulated by the Post-Graduation Medical Education Neurosurgery Professional Committee of the Chinese Medical Doctor Association, 28 training bases were supervised and evaluated. The scoring results of the supervision of 28 neurosurgery training bases were collected, and the training bases were divided into two categories according to the traditional teaching history, 6 affiliated hospitals of traditional medical schools and 22 non-traditional affiliated/teaching hospitals. GraphPad 5.0 software was used for statistical analysis of the 14 core indicators, and t-test, variance analysis and Chi-square test were used for analysis. Results:The results showed that there was a statistically significant difference in the compliance rate of 14 core indicators between traditional teaching hospitals and non-traditional teaching hospitals ( P = 0.003), skill operation and type and number of surgeries ( P = 0.041) and student rotation plan ( P = 0.012). The differences were also statistically significant. Conclusion:This study reveals that the comprehensive management ability of training bases in traditional teaching hospitals is significantly better than that in non-traditional teaching hospitals. Additionally, it's suggested to strengthen the construction of professional bases, enhance the institutionalized management of bases, and thus realize the homogenization training of neurosurgery residents.

Objective: To investigate the level of arsenic exposure in rural drinking water and to assess the health risk caused by exposure to arsenic in Tongzhou District, Beijing Municipality in 2019, so as to provide insights into improving the quality of rural drinking water. Methods: Water samples were collected from self-provided wells in 196 villages of 7 townships in Tongzhou District from April to June, 2019, and the arsenic levels were measured in drinking water according to Standard examination methods for drinking water-Metal parameters (GB/T 5750.6-2006). The carcinogenic and non-carcinogenic risks of arsenic were evaluated in drinking water using the environmental risk assessment model recommended by the United States Environmental Protection Agency (EPA). Results: Totally 520 water samples were collected, and the median arsenic concentration was 0.001 2-0.050 0 mg/L. There were 67 water samples with arsenic levels exceeding the defined standard level (12.88%), and the proportions of arsenic levels exceeding the defined standard level were 57.69%, 17.24%, 12.20%, 6.52% and 1.31% in Songzhuang, Huoxian, Lucheng, Zhangjiawan and Yongdedian townships, and the arsenic levels did not exceed the defined standard level in Majuqiao or Taihu townships. The carcinogenic risk of arsenic was 3.135 7×10-4/a in drinking water, which exceeded the maximum acceptable risk, and the carcinogenic risk of arsenic all exceeded the maximum acceptable risk, with the highest value seen in Songzhuang Township (9.648 2×10-4/a). A high carcinogenic risk of arsenic was seen in men at ages of 60 to 80 years (3.012 8×10-4/a) and in women at ages of 80 years and older (2.949 0×10-4/a). The non-carcinogenic risk of arsenic was 0.696 8 in drinking water, indicating a low risk, and were 1.009 5 and 2.144 1 in Huoxian and Songzhuang townships, indicating a high risk. In addition, a high non-carcinogenic risk of arsenic was seen in men at ages of 60 to 80 years (0.669 5) and in women at ages of 80 years and older (0.655 3). Conclusion There was a high proportion of arsenic levels exceeding the defined standard level in rural drinking water in Tongzhou District, 2019, and there was a health risk, notably with the highest carcinogenic risk seen in residents at ages of 60 years and older. Effective interventions are needed to reduce arsenic levels in drinking water.

BACKGROUND: Perioperative treatment has become an increasingly important aspect of the management of patients with non-small cell lung cancer (NSCLC). Small-scale clinical studies performed in recent years have shown improvements in the major pathological remission rate after neoadjuvant therapy, suggesting that it will soon become an important part of NSCLC treatment. Nevertheless, neoadjuvant immunotherapy may be accompanied by serious adverse reactions that lead to delay or cancelation of surgery, additional illness, and even death, and have therefore attracted much attention. The purpose of the clinical recommendations is to form a diagnosis and treatment plan suitable for the current domestic medical situation for the immune-related adverse event (irAE). METHODS: This recommendation is composed of experts in thoracic surgery, oncologists, thoracic medicine and irAE related departments (gastroenterology, respirology, cardiology, infectious medicine, hematology, endocrinology, rheumatology, neurology, dermatology, emergency section) to jointly complete the formulation. Experts make full reference to the irAE guidelines, large-scale clinical research data published by thoracic surgery, and the clinical experience of domestic doctors and publicly published cases, and repeated discussions in multiple disciplines to form this recommendation for perioperative irAE. RESULTS: This clinical recommendation covers the whole process of prevention, evaluation, examination, treatment and monitoring related to irAE, so as to guide the clinical work comprehensively and effectively. CONCLUSIONS Perioperative irAE management is an important part of immune perioperative treatment of lung cancer. With the continuous development of immune perioperative treatment, more research is needed in the future to optimize the diagnosis and treatment of perioperative irAE.

Objective:By comparing the volume% (V% GGOs) of ground glass opacities (GGOs) in high resolution CT (HRCT) of patients with acute paraquat (PQ) poisoning at different time points, its value in the early prognosis of patients with PQ poisoning was analyzed. Methods:The data of patients with PQ poisoning admitted to Department of Respiratory and Critical Care Medicine of Chinese Armed Police Forces from June 2017 to December 2018 were prospectively analyzed. According to the follow-up results after poisoning at 90 days, the patients were divided into the survival group and death group. Three-dimensional reconstruction technology was used to calculate the change of V% GGOs on the 3rd, 5th, and 7th day after poisoning. Chi-square test and One-Way ANOVA of variance were used to compare sex, age, and time of poisoning between the two groups. The Student's t test was used to compare V% GGOs between the two groups at different time points. The receiver operating characteristic curve (ROC) was used to determine the guiding significance of the indicator on the prognosis of patients with PQ poisoning at different time points. Results:A total of 89 patients with PQ poisoning were included in the study, 49 in the survival group and 40 in the death group. There were no statistical differences between the two groups of patients in sex, age, poisoning time, oxygenation index, mean arterial pressure, total bilirubin, blood urea nitrogen, alanine aminotransferase, and aspartate aminotransferase at admission (all P>0.05). The blood PQ concentration (mg/L) in the death group was significantly higher than that in the survival group (6.35 ±0.51 vs 3.49 ±0.21, P= 0.013). On the 3rd, 5th and 7th day after admission, the V% GGOs was significantly higher than that in the survival group (3rd day: 0.062±0.020 vs 0.049±0.007, P= 0.013; 5th day: 0.292±0.130 vs 0.123±0.044, P<0.01; 7th day: 0.334±0.116 vs 0.138±0.034, P=0.019). The area under the ROC curve showed that the prognosis AUC of the 7th day V% GGOs after poisoning was 0.967, the sensitivity was 100% and the specificity was 83.33% when the threshold was 0.16, but the time point was late. On the 5th day after poisoning, the V% GGOs judged the prognosis AUC was 0.842, the sensitivity was 82.35% and the specificity was 89.47% when the threshold was 0.14. On the 3rd day after poisoning, the V% GGOs judged the prognosis AUC was 0.708, the sensitivity was 55.00% and the specificity was 78.95% when the threshold was 0.05. At this time, the sensitivity and specificity were lower than those on the 5th and 7th day. Conclusions:The proportion of ground glass opacity volume in patients with PQ poisoning can be used to evaluate their prognosis, and the best time point is the 5th day after poisoning.

Objective:To explore the relationship between learning motivation and professional identity of nursing students.Methods:A total of 1 538 undergraduate and specialized nursing students from a medical college in Shandong Province were investigated with general information questionnaire, occupational identity scale and learning motivation scale.Results:The total score of professional identity and learning motivation of nursing students was 57.54±12.89 and 119.92 ±22.03 all of which were at the middle level. There was a positive correlation between the total score and each dimension ( r=0.225-0.614, P<0.01). Conclusions:Nursing students' professional identity is positively correlated with their learning motivation. The stronger their learning motivation is, the higher their level of professional identity is. It suggests that nursing education and managers should pay attention to improving their learning motivation and establish a stable professional concept.

Objective:To analyze the influencing factors of prognosis of patients with diabetic kidney disease (DKD) in intensive care unit (ICU), and analyze their predictive value.Methods:Based on the inpatient information of more than 50 000 patients from June 2001 to October 2012 in the latest version of American Intensive Care Medical Information Database (MIMIC-Ⅲ v1.4), the data of DKD patients were screened out, including gender, age, body weight, comorbidities [hypertension, coronary heart disease, chronic obstructive pulmonary disease (COPD), chronic kidney disease (CKD)], sequential organ failure assessment (SOFA) score, the length of ICU stay, the incidence of mechanical ventilation, vasoactive drugs and renal replacement therapy during the ICU hospitalization, complications of other diseases [ventilator-associated pneumonia (VAP), urinary tract infection (UTI), diabetic ketoacidosis (DKA), acute myocardial infarction (AKI)] and prognosis of ICU. At the same time, the blood routine and biochemical data of the first 24 hours in ICU and the extremum values during the ICU hospitalization were collected. Multivariate Logistic regression analysis was used to screen the prognostic factors of DKD patients in ICU, and receiver operating characteristic (ROC) curve was plotted to analyze the predictive value of death risk factors.Results:416 DKD patients were screened out, 20 patients were excluded due to data missing, and finally 396 patients were enrolled, including 220 survival patients and 176 dead patients. Compared with the survival group, the patients in the death group were older (years old: 57.13±13.04 vs. 52.61±14.15), with lower rates of hypertension and CKD (11.4% vs. 23.6%, 26.7% vs. 41.4%), higher SOFA scores and baseline values of blood urea nitrogen (BUN), serum creatinine (SCr) and blood K + [SOFA score: 5.86±2.79 vs. 4.49±2.56, BUN (mmol/L): 18.4±10.0 vs. 14.8±9.0, SCr (μmol/L): 387.2±382.8 vs. 284.6±244.9, K + (mmol/L): 4.64±0.99 vs. 4.33±0.86], and longer ICU stay [days: 2.65 (1.48, 5.21) vs. 2.00 (1.00, 4.00)], and the differences were statistically significant (all P < 0.01). Further analysis of laboratory tests extremum values during ICU hospitalization showed that the maximum (max) and minimum (min) values of white blood cell (WBC), BUN and SCr, and K +max in the death group were significantly higher than those in the survival group [WBC max (×10 9/L): 17.3±10.3 vs. 14.5±7.3, WBC min (×10 9/L): 7.9±4.1 vs. 6.7±2.7, BUN max (mmol/L): 23.8±10.4 vs. 18.8±10.2, BUN min (mmol/L): 11.0±6.6 vs. 9.3±6.6, SCr max (μmol/L): 459.7±392.5 vs. 350.1±294.4, SCr min (μmol/L): 246.6±180.3 vs. 206.9±195.4, K +max (mmol/L): 5.35±0.93 vs. 5.09±0.99], and the minimum values of hemoglobin (Hb min) and glucose (Glu min) were significantly lower than those in the survival group [Hb min (g/L): 87.4±14.5 vs. 90.6±16.5, Glu min (mmol/L): 4.0±1.7 vs. 4.6±2.0], and the differences were statistically significant (all P < 0.05). The incidences of mechanical ventilation and vasoactive drugs during ICU hospitalization in the death group were significantly higher than those in the survival group (37.5% vs. 24.1%, 32.4% vs. 20.0%, both P < 0.01), and the incidences of UTI and AMI in the death group were significantly higher than those in the survival group (29.5% vs. 19.1%, 8.5% vs. 3.6%, both P < 0.05). Multivariate Logistic regression analysis showed that age [odds ratio ( OR) = 1.019, 95% confidence interval (95% CI) was 1.003-1.036, P = 0.023], SOFA score ( OR = 1.142, 95% CI was 1.105-1.246, P = 0.003), WBC min ( OR = 1.134, 95% CI was 1.054-1.221, P = 0.001) and BUN max ( OR = 1.010, 95% CI was 1.002-1.018, P = 0.018) were risk factors of death of DKD patients in ICU. ROC curve analysis showed that the area under ROC curve (AUC) of combination of risks factors of death was 0.706, the sensitivity was 61.6%, and the specificity was 73.2%. Conclusions:In order to prevent DKD patients from getting worse in ICU, we should pay close attention to the blood biochemical indexes, especially the renal function indexes, and give timely treatment. At the same time, we should actively prevent the occurrence of complications such as infection and cardiovascular disease.

Diabetes kidney disease (DKD) is a serious renal complication of diabetes mellitus, also the main cause of end-stage renal disease (ESRD). Early diagnosis and treatment are very important. Mass spectrometry (MS) can detect biomarkers in blood, urine, tissue and other samples of DKD patients, which has become a research hotspot, and its great significance in early diagnosis, pathogenic research, treatment effect and prognostic evaluation.

Background:Non-alcoholic liver disease is of increased concern and contributing to economic burdens not only in developing countries but in developed countries as well.Identifying the biomarker of early diagnosis and early intervention approaches for non-alcoholic liver disease is unmet and required further investigation.Although the alpha-ketoglutarate(α-KG)is recently proposed to be a potential biomarker in differentiating patients with obesity from those with non-alcoholic liver disease,how α-ketoglutatate is involved in the fatty liver progression is not clear. Methods:A high-fat diet(HFD)feeding animal model,liver functional assays,and molecular approaches were adopted to clarify the impact of α-KG in fatty liver progression. Results:In the current study,it was found that dietary α-KG would inhibit weight gain in male and female mice fed with a normal chew or HFD.HFD feeding caused fatty liver in male mice,but α-KG treatment could substantially inhibit hepatic steatosis progression.Biochemical studies revealed the possible linkage of α-KG protective functions to lipid metabolism.Further analysis identified the important role of peroxisome proliferator-activated receptors in beneficial α-KG-mediated effects on fatty liver progression. Conclusions:The current study demonstrates the therapeutic potential of α-KG and how it may be used,via dietary supplementation,as a preventive intervention for non-alcoholic liver disease in obese patients.

Objective To discuss the diagnostic value of a diagnostic strategy combining D-dimer and aortic dissection detection risk score (ADDRS) for patients with acute aortic dissection (AAD). Methods The clinical data of 750 patients with suspected AAD in emergency department of Zhongda Hospital Affiliated to Southeast University from January 2016 to January 2018 were retrospectively analyzed, including medical history, gender, age, chief complaint, physical examination, diagnostic imaging data and D-dimer levels on admission. ADDRS = 0 was defined as low risk group, ADDRS = 1 as medium risk group, ADDRS≤1 as non-high risk group,whereas ADDRS > 1 as high risk group. The clinical characteristics of AAD and non-AAD patients, ADDRS, D-dimer, and the diagnostic ability of D-dimer (the cutoff value of 500 μg/L) for AAD in different risk groups were observed. Results AAD was diagnosed in 79 of 750 (10.53%) patients. Of the 256 (34.13%) patients in low risk group, 5 patients were diagnosed with AAD. The medium risk group had 337 (44.93%) patients, including 44 cases with AAD. The high risk group had 157 (20.93%) patients, including 30 cases with AAD. In AAD patients, the proportion of male and hypertension, the incidence of ADDRS risk markers (including abrupt onset of pain, severe pain intensity, ripping or tearing pain, pulse deficit or systolic blood pressure differential of upper limb, focal neurological deficit, recent aortic manipulation, known thoracic aortic aneurysm) and the D-dimer levels in AAD group were significantly higher than those of non-AAD patients [male: 82.28% (65/79) vs. 59.76% (401/671), hypertension: 81.01% (64/79) vs. 41.43% (278/671), abrupt onset of pain: 78.48% (62/79) vs. 39.94% (268/671), severe pain intensity: 78.48% (62/79) vs. 50.52% (339/671), ripping or tearing pain: 32.91% (26/79) vs. 0.75% (5/671), pulse deficit or systolic blood pressure differential of upper limb: 15.19% (12/79) vs. 0.15% (1/671), focal neurological deficit: 7.59% (6/79) vs. 1.64% (11/671), recent aortic manipulation: 6.33% (5/79) vs. 0.30% (2/671), known thoracic aortic aneurysm: 15.19% (12/79) vs. 0.30% (2/671), D-dimer (μg/L): 1 160 (588, 3 340) vs 135 (56, 478), all P < 0.05], the proportion of diabetics was significantly lower than that of non-AAD patients [7.59% (6/79) vs. 18.78% (126/671), P < 0.05]. The positive predictive values of D-dimer for AAD diagnosis in the low risk group and the non-high-risk groups (including low and medium risk groups) were lower than that in the high risk group (8.62%, 26.32% vs. 40.91%), the negative predictive values of D-dimer were higher in the low risk group and non-high-risk groups than that in the high risk group (100.00%, 99.05% vs. 96.70%), missed diagnosis rates were higher than that in high risk group (0, 0.95%, vs. 3.30%). Conclusion In the high risk group, D-dimer≥500 μg/L is helpful for diagnosis of AAD; and in low risk group or non-high-risk group, D-dimer < 500 μg/L can efficiently and accurately exclude AAD.

ObjectiveTo explore the nursing students' experience of participation in group resuscitation workshop. MethodsFrom July to September of 2018,12 nursing interns in the Emergency Department of a Class Ⅲ Grade A hospital in Zhengzhou were recruited to participate in the study by purposive sampling and semi-structured interviews were conducted. The data obtained were analyzed by Colaizzi method. ResultsNursing students' experience of participation in the team recovery workshop can be summarized into three themes:teamwork awareness, independent learning ability and confidence,and stress and response. ConclusionsThe workshop promotes nursing students' sense of teamwork and stimulates their subjective initiative and ability to learn. It is suggested that nursing clinical education workers should attach importance to the various pressures faced by students and provide support from various angles.