Objective To investigate the relationship between the expression of PDGF and PDGFR and MVC in human gastric carcinoma. Methods The expression of PDGF and PDGFR in 57 cases with gastric carcinoma was detected by immunohistochemical method of avidin-biotin complex in formalin-fixed and routinely paraffin-embedded tissue sections. Results The expression of PDGF and PDGFR was significantly related to the infiltrative depth and regional lymph nodes metastasis of gastric carcinoma. The positive rates of PDGF and PDGFR in the cases with invasive depth over 2/3 muscular layer were 61 8% and 58 8% respectively, which were obviously higher than those(26 1%, 26 1%) in the ones with invasive depth less 2/3 muscular layer(P

Objective To explore the effects of Sanchi gel on MMP-1 and TIMP-1 expression in epidural adhesion after laminectomy. Methods Laminectomy model was set up in SD rats. 72 SD model rats were divided randomly into Saline group, Zhanlp group, Carbopol Gel group and Sanchi Gel group, with 18 rats in each group. On 7, 14 and 21 days after the laminectomy, immunohistochemistry (method of S-P) was adopted to detect the expression of TIMP-1 and MMP-1. Results Different treatments had different influence on TIMP-1 and MMP-1 expression in epidural adhesion. The expression of TIMP-1 increased gradually on 14 dand 21 d after operation, and Sanqi Gel group showed weaker expression than the other groups (P＜0.05), but the number of positive cells decreased gradually. As to the expression of MMP-1, there was no difference among each group at the end of the second week (P＞0.05). There was a difference between Sanchi Gel group and the other groups at the end of third week (21 d) (P＜0.05) after operation. Sanchi Gel group showed higher expression of TIMP-1 than the other groups. The number of positive cells sharply decreased from 14 d to 21 d after operation. Conclusion Sanchi Gel has a significant preventive effect on fibrous scar formation after laminectomy. The possible mechanism of preventing epidural adhesion after laminectomy by Sanchi Gel could be its regulating and controlling the expression of TIMP-1 and MMP-1 in epidural tissue.

Objective To investigate the effect of Levocarnitine on lipid metabolism and nutritional status of maintenance hemodialysis (MHD) patients and possible mechanism. Methods A total of 40 MHD patients [mean age (53.5±7.1) years] who underwent normal hemodialysis more than 6 months were randomly classified into two groups, Levocarnitine supplemented group (LS-G) (n=20; Levocarnitine supplementation after each normal hemodialysis session, at a dose of 1.0 g/day by intravenous administration) and control group (C-G) (n=20; normal hemodialysis). Before treatment, one month and three months after treatment we respectively measured or observed the following items, the tolerance to hemodialysis, carnitine level in plasma, C-reactive protein, IL-6, TNF-α, percentage of neutrophil, and some relevant nutritional parameters, such as lipid profile, transferrin, total protein, albumin and prealbumin levels. Comparative analysis was conducted between the two groups. Results In LS-G three months after treatment, the levels of carnitine, hemoglobin, and prealbumin in plasma were significantly increased (P<0.05), but C-reactive protein, neutrophil percentage, low-density lipoprotein and triglyceride were significantly decreased (P<0.05) in contrast to those in C-G and before treatment. Transferrin, total protein, and albumin were elevated in LS-G, with no statistical significance. Conclusion There was a significant improvement of lipid metabolism and nutritional status for the long-term maintenance hemodialysis patients with Levocarnitine supplementation. And this improvement is related to the decrease of inflammatory factors.

OBJECTIVETo investigate the prospective association of fibroblast growth factor 21 (FGF-21) with NAFLD development in a 5-year prospective study involving a population-based cohort comprising 352 Chinese subjects.

METHODSThe clinical data of subjects were recorded, serum FGF-21 levels at baseline and follow-up were measured using an enzyme-linked immunosorbent assay,whether FGF-21 was independent predictor of NAFLD development were identified using logistic regressions. Chi-square test, non-parametric test and logistic regression analysis were used in statistical analyses.

RESULTS(1) Serum FGF-21 levels of NAFLD group was significantly higher than that of non-NAFLD group (318.34(169.64,520.77)pg/ml vs 197.22 (121.57, 318.76) pg/ml, Probability value less than 0.05). (2)At follow-up,significant increase of FGF-21 level was observed in those subjects who developed NAFLD (399.4 (253.9,754.2) pg/ml vs 318.34(169.64, 520.77)pg/ml, Probability value less than 0.05), but in non-NAFLD group, there was no significant difference of FGF-21 level between baseline and follow-up. (3) BMI, TC, HOMA-IR and FGF-21 were independent predictors of NAFLD through logistic regressions.

CONCLUSIONHigh FGF-21 levels was independent predictor of NAFLD, it may be useful for early diagnosis and intervention of NAFLD.

Enzyme-Linked Immunosorbent Assay ; Follow-Up Studies ; Humans ; Interleukins ; Logistic Models ; Non-alcoholic Fatty Liver Disease ; Prospective Studies

OBJECTIVETo investigate atmospheric mercury concentration in the workplace and urinary mercury concentration in workers exposed to mercury in a thermometer factory, and to determine the levels and influencing factors of urinary Β₂-microglobulin (Β₂-MG) and retinol-binding protein (RBP) in these workers.

METHODSAn occupational health survey of the workplace was completed according to relevant national occupational health standards. Questionnaire survey and occupational health examination were conducted in 178 workers exposed to mercury in the factory. Statistical analysis was accomplished using SPSS 19.0.

RESULTSIn the workplace, atmospheric mercury concentration was out of limits at seven of eight detection points expressed by short-term exposure limit; it was out of limits at all the eight detection points shown by time-weighted average. Statistically significant difference in atmospheric mercury concentration was found among different detection points (F = 138.714, P < 0.001). The geometric mean of urinary mercury concentration measured in 154 workers was 171.607 µg/g. There were 127 workers with urinary mercury concentration exceeding the standard (82.5% over-standard rate). Significant difference in urinary mercury concentration was shown in the workers among different positions (χ² = 44.531, P < 0.01). Urinary mercury concentration was positively correlated with atmospheric mercury concentration (r = 0.624, P < 0.01). The mean urinary Β₂-MG level measured in 148 workers was 0.142 mg/L, and seven workers had urinary Β₂-MG levels greater than 0.3 mg/L (4.7% abnormal rate). The mean urinary RBP level measured in 153 workers was 0.485 mg/L, and 19 workers had urinary RBP levels greater than 0.7 mg/L (12.4% abnormal rate). Ordinal logistic regression showed that age >34 years (OR = 4.88, 95%CI: 2.24∼10.62) and length of service >15 years (OR = 2.50, 95%CI: 1.06-5.92) were risk factors for increased urinary Β₂-MG level. Age >45 years (OR = 7.52, 95%CI: 2.50∼22.65) was a risk factor for increased urinary RBP level.

CONCLUSIONIn the thermometer factory under study, atmospheric and urinary mercury concentrations both seriously exceeded the standards, which were harmful to the health of workers. High atmospheric mercury concentration, old age, and long length of service were risk factors for increased urinary Β₂-MG and RBP levels in workers exposed to mercury.

Adult ; Environmental Exposure ; Humans ; Kidney ; drug effects ; Kidney Diseases ; chemically induced ; Mercury ; analysis ; toxicity ; Occupational Exposure ; Risk Factors ; Threshold Limit Values ; Time Factors ; Workplace

Objective: To evaluate the performance of a convolutional neural network (CNN) model that can automatically detect and classify rib fractures, and output structured reports from computed tomography (CT) images. Materials and Methods: This study included 1079 patients (median age, 55 years; men, 718) from three hospitals, between January 2011 and January 2019, who were divided into a monocentric training set (n = 876; median age, 55 years; men, 582), five multicenter/multiparameter validation sets (n = 173; median age, 59 years; men, 118) with different slice thicknesses and image pixels, and a normal control set (n = 30; median age, 53 years; men, 18). Three classifications (fresh, healing, and old fracture) combined with fracture location (corresponding CT layers) were detected automatically and delivered in a structured report. Precision, recall, and F1-score were selected as metrics to measure the optimum CNN model. Detection/diagnosis time, precision, and sensitivity were employed to compare the diagnostic efficiency of the structured report and that of experienced radiologists. Results: A total of 25054 annotations (fresh fracture, 10089; healing fracture, 10922; old fracture, 4043) were labelled for training (18584) and validation (6470). The detection efficiency was higher for fresh fractures and healing fractures than for old fractures (F1-scores, 0.849, 0.856, 0.770, respectively, p = 0.023 for each), and the robustness of the model was good in the five multicenter/multiparameter validation sets (all mean F1-scores > 0.8 except validation set 5 [512 x 512 pixels; F1-score = 0.757]). The precision of the five radiologists improved from 80.3% to 91.1%, and the sensitivity increased from 62.4% to 86.3% with artificial intelligence-assisted diagnosis. On average, the diagnosis time of the radiologists was reduced by 73.9 seconds. Conclusion Our CNN model for automatic rib fracture detection could assist radiologists in improving diagnostic efficiency, reducing diagnosis time and radiologists’ workload.

Objective:To explore the significance of multimodal monitoring in the monitoring and treatment of neurocritical care patients.Methods:104 neurocritical care patients admitted to the department of Critical Care Medicine of Fujian Provincial Hospital from March 2019 to January 2020 were enrolled. Patients were randomly assigned into two groups, with 52 in each group. In the routine monitoring treatment group, heart rate, blood pressure, respiratory rate and the changes in consciousness and pupils were monitored after operation. The patients were treated with routine medicine to reduce intracranial pressure (ICP), maintain proper cerebral perfusion pressure (CPP), balance fluid intake and output, and maintain the airway clear. Patients in the multimodal monitoring treatment group were treated with invasive ICP monitoring, ultrasound to assess brain structure, ultrasound to measure optic nerve sheath diameter (ONSD), transcranial color doppler (TCCD), internal jugular venous blood oxygen saturation monitoring, near-infrared spectroscopy (NIRS), non-invasive cerebral blood oxygen saturation monitoring and quantitative electroencephalogram monitoring. According to the monitoring results, the patients were given targeted treatment with the goal of controlling ICP and improving brain metabolism. The length of intensive care unit (ICU) stay, the incidences of neurological complications (secondary cerebral infarction, cerebral hemorrhage, high intracranial pressure, etc.), and the incidences of poor prognosis [6 months after the onset of Glasgow outcome score (GOS) 1 to 3] were compared between the two groups. Spearman rank correlation analysis of the correlation between invasive ICP and the ICP value which was calculated by TCCD. The receiver operating characteristic (ROC) curve of invasive ICP and pulsatility index of middle cerebral artery (PI MCA) were used to predict poor prognosis. Results:The length of ICU stay in the multimodal monitoring treatment group was significantly shorter than that of the routine monitoring treatment group (days: 6.27±3.81 vs. 9.61±5.09, P < 0.01), and the incidence of neurological complications was significantly lower than that in the routine monitoring treatment group (9.62% vs. 25.00%, P < 0.05). In the multimodal monitoring treatment group, 37 cases had a good prognosis and 15 cases had a poor prognosis, while the routine monitoring treatment group had a good prognosis in 27 cases and a poor prognosis in 25 cases. The incidence of poor prognosis in the multimodal monitoring treatment group was lower than that of the routine monitoring treatment group (28.85% vs. 48.08%, P < 0.05). In the multimodal monitoring treatment group, the invasive ICP and PI MCA of patients with good prognosis were significantly lower than those of patients with poor prognosis [invasive ICP (mmHg, 1 mmHg = 0.133 kPa): 16 (12, 17) vs. 22 (20, 24), PI MCA: 0.90±0.33 vs. 1.39±0.58, both P < 0.01]. There was no significant difference in resistance index of the middle cerebral artery (RI MCA) between the good prognosis group and the poor prognosis group (0.63±0.12 vs. 0.66±0.15, P > 0.05). There was a positive correlation between the invasive ICP and the ICP value which was calculated by TCCD ( r = 0.767, P < 0.001). ROC curve analysis showed that the area under ROC curve (AUC) of invasive ICP for poor prognosis prediction was 0.906, the best cut-off value was ≥ 18 mmHg, the sensitivity was 86.49%, and the specificity was 86.67%. The AUC of PI MCA for poor prognosis prediction was 0.759, the best cut-off value was ≥ 1.12, the sensitivity was 81.08%, and the specificity was 60.00%. The AUC of invasive ICP was greater than PI MCA ( Z = 2.279, P = 0.023). Conclusion:Comprehensive analysis of multimodal monitoring indicators for neurocritical care patients to guide clinical treatment can reduce the length of hospital stay, and reduce the risk of neurosurgery complications and disability; invasive ICP can predict poor prognosis of neurocritical care patients.

Objective:To investigate the risk factors for anastomotic leakage after laparo-scopic lower anterior resection (LAR) of rectal cancer, and the application value of its risk assess-ment scoring model.Methods:The retrospective case-control study was conducted. The clinico-pathological data of 539 patients who underwent laparoscopic LAR of rectal cancer in 13 medical centers, including 248 cases in Renji Hospital of Shanghai Jiaotong University School of Medicine, 35 cases in Ningbo First Hospital, 35 cases in Changzhou Second People's Hospital, 32 cases in the First People's Hospital of Nantong, 32 cases in Linyi People's Hospital, 31 cases in Changzhou Wujin People's Hospital, 28 cases in Jiading District Hospital of Traditional Chinese Medicine, 27 cases in the First Hospital of Taizhou, 26 cases in Shanghai Pudong Gongli Hospital, 21 cases in the People's Hospital of Rugao, 11 cases in Central Hospital of Fengxian District, 7 cases in Ningbo Hangzhou Bay Hospital and 6 cases in Jiangsu jianhu People's Hospital, from January 2016 to November 2020 were collected. There were 157 males and 382 females, aged (62.7±0.5)years. Observation indicators: (1) follow-up; (2) risk factors for anastomotic leakage after laparoscopic LAR; (3) establishment of risk assessment scoring model for anastomotic leakage after laparoscopic LAR. Follow-up was conducted by outpatient examination or telephone interview. Patients were followed up at 1 week after discharge or 1 month after the operation to detect the 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 represented as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test. Univariate analysis was conducted using the chi-square test and multivariate analysis was conducted usong the Logistic regression model. The area under curve of receiver operating characteristic curve was used to estimate the efficiency of detecton methods. The maximum value of the Youden index was defined as the best cut-off value. Results:(1) Follow-up: 539 patients were followed up at postoperative 1 week and 1 month. During the follow-up, 79 patient had anastomotic leakage, with an incidence of 14.66%(79/539). Of the 79 patients, 39 cases were cured after conservative treatment, 40 cases were cured after reoperation (ileostomy or colostomy). (2) Risk factors for anastomotic leakage after laparoscopic LAR. Results of univariate analysis showed that sex, age, body mass index, smoking and/or drinking, tumor diameter, diabetes mellitus, hemoglobin, albumin, grade of American Society of Anesthesio-logists (ASA), neoadjuvant chemoradiotherapy, distance from anastomotic level to dentate line, the number of pelvic stapler, reinforced anastomosis, volume of intraoperative blood loss, placement of decompression tube, preservation of left colic artery, operation time and professional doctors were related factors for anastomotic leakage after laparoscopic LAR ( χ2=14.060, 4.387, 5.039, 4.094, 17.488, 33.485, 25.066, 28.959, 34.973, 34.207, 22.076, 13.208, 16.440, 17.708, 17.260, 4.573, 5.919, 5.389, P<0.05). Results of multivariate analysis showed that male, tumor diameter ≥3.5 cm, diabetes mellitus, hemoglobin <90 g/L, albumin <30 g/L, grade of ASA ≥Ⅲ, neoadjuvant chemoradiotherapy, distance from anastomotic level to dentate line <1 cm, the number of pelvic stapler ≥3, non-reinforced anastomosis, volume of intraoperative blood loss ≥100 mL and no placement of decom-pression tube were independent risk factors for anastomotic leakage after laparoscopic LAR ( odds ratio=2.864,3.043,12.556,7.178,8.425,12.895,8.987,4.002,3.084,4.393,3.266,3.224,95% confidence interval as 1.279?6.411, 1.404?6.594, 4.469?35.274, 2.648?19.459, 2.471?28.733, 4.027?41.289, 3.702?21.777, 1.746?9.171, 1.365?6.966, 1.914?10.083, 1.434?7.441, 1.321?7.867, P<0.05). (3) Establishment of risk assessment scoring model for anastomotic leakage after laparoscopic LAR. based on the results of univariate analysis, clinicopathological factors with χ2>20, χ2>10 and ≤20 or χ2≤10 were defined as scoring of 3, 2, 1, respectively. The cumulative clinicopatho-logical factors scoring ≥6 was defined as an effective evaluating indicator for postoperative anastomotic leakage. The risk assessment scoring model (6-321) for anastomotic leakage after laparoscopic LAR was established. The cumulative value ≥6 indicated high incidence of anastomotic leakage, and the cumulative value <6 indicated low incidence of anastomotic leakage. Conclusions:Male, tumor diameter ≥3.5 cm, diabetes mellitus, hemoglobin <90 g/L, albumin <30 g/L, grade of ASA ≥Ⅲ, neo-adjuvant chemoradiotherapy, distance from anastomotic level to dentate line <1 cm, the number of pelvic stapler ≥3, non-reinforced anastomosis, volume of intraoperative blood loss ≥100 mL and no placement of decompression tube are independent risk factors for anastomotic leakage after laparoscopic LAR. The risk assessment scoring model (6-321) is established according to the above results.The cumulative value ≥6 indicates high incidence of anastomotic leakage and the cumulative value <6 indicates low incidence of anastomotic leakage.