Objective: To evaluate the effects of continued acceptance and commitment therapy intervention on post-traumatic growth of postoperative patients with breast cancer. Methods: According to the hospitalization time, 120 patients with breast cancer were divided into observation group (62 cases) and control group (58 cases). From January to December 2017, 58 patients were used as control group. Regular health education and discharge follow-up were performed. Intervention with the commitment therapy 3 times; 62 patients from January to December 2018 were selected as the observation group. On the basis of the control group, the patient continued to receive and commit the intervention for 3 to 4 times from February to March after discharge. The post-traumatic growth status of patients before, at the time of discharge (after the intervention), at the hospital for 2 months, at the hospital for 3 months, and at the hospital for 6 months was assessed using the Simplified Chinese version of the Post-Treatment Growth Rating Scale (PTGI). Results: There was no significant difference in the post-traumatic growth scores between the two groups (P>0.05). The post-traumatic growth scores of the two groups were 67.02±14.17, 66.93±14.24, which were better than 51.72±11.65, 51.86±11.67 before the intervention (t= 7.634, 7.725, P<0.05). At 3 months and 6 months after discharge, the post-traumatic growth scores of the observation group were (67.12±14.07) and (68.21±14.48), which were significantly better than the control group (54.17±11.64). 54.02±11.12), the difference was statistically significant (t= 7.957, 7.674, P<0.01). Conclusion Acceptance and commitment therapy intervention during hospitalization can effectively improve post-traumatic growth of postoperative patients with breast cancer. Continued admission and commitment therapy intervention after discharge can provide patients with out-of-hospital continuous care programs to improve post-traumatic growth of postoperative patients with breast cancer. It has a better long-term effect than the control group.

In recent years, the use of fluorescent contrast agents staining to guide surgery has flourished in various fields of surgery under the concept of precision surgery, which is helpful to guide surgery and provide surgeons with actual visible fluorescence imaging.Clinically, fluorescent contrast agent can be used to display tumor’s outline with high recognition degree, guide operation in real time, locate lymph node metastasis, detect small metastases, and identify important anatomical structures during the operation to avoid possible side-injury. Great progress has been made in the study of fluorescent contrast agents that can mediate surgery, including the study and surgical application development of classical fluorescent contrast agents such as indocyanine green and methylene blue, etc, as well as the discovery and clinical application of new targeted fluorescent contrast agents such as folate receptor targeting contrast agents, monoclonal antibody based fluorescent targeting contrast agents and intelligent contrast agents, etc. This paper will review the research and surgical application of fluorescent contrast agents in two aspects: classical fluorescent contrast agents and new targeted fluorescent contrast agents.

Objective:To investigate the difference between the short-term and long-term survival rates of patients undergoing tricuspid valve replacement with biological and mechanical valves.Methods:273 patients who received tricuspid valve replacement were selected from our Hospital from November 1993 to August 2018. The mean follow-up time was(8.2±5.6) years. The total follow-up rate was 95%. Kaplan-Meier method was used to make survival curves of the two groups and log rank test was used to compare the differences between the two groups. In addition, this study made the comparison of preoperative, intraoperative and postoperative information and long-term survival rate between these two groups.Results:There was no significant difference in demographic characteristics and baseline between mechanical valve group and biological valve group. 16 patients died in the mechanical valve group and 22 in the biological valve group. In the mechanical valve group, 14 cases died of postoperative low cardiac output syndrome and 2 cases died of gastrointestinal hemorrhage. 22 patients were died of low cardiac output syndrome. The auxiliary time in the mechanical valve group was longer than that in the biological valve group[(151.76±70.30)min vs.(131.62±60.25)min, P=0.013)]. There was no significant difference in long-term survival rate between the two groups in Kaplan- Meier survival curve( P=0.234). Conclusion:There is no difference in short-term and long-term survival rate between mechanical valve and biological valve in tricuspid valve replacement.

Objective: To investigate the bacterial flora distribution and antimicrobial resistance of patients with pyogenic liver abscess (PLA) in multi-centers of China. Methods: The retrospective and descriptive study was conducted. The clinical data of 897 patients with PLA at 3 medical centers in China from October 2007 to April 2018 were collected, including 656 cases in the First Hospital of Harbin Medical University, 109 cases in Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology and 132 cases in the Eastern Hepatobiliary Surgery Hospital of Naval Military Medical University. There were 582 males and 315 females, aged (59±11)years, with a range of 6-86 years. Observation indicators: (1) bacterial flora distribution; (2) bacterial resistance. 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 or percentages. Results: (1) Bacterial flora distribution: among 897 patients, 733 cases of Klebsiella pneumoniae, 75 cases of Escherichia coli, 11 cases of Staphylococcus aureus, 10 cases of Streptococcus viridians, 9 cases of Klebsiella pneumoniae subsp. pneumoniae, 7 cases of β-emolytic streptococcus, 6 cases of Acinetobacter baumannii, 5 cases of Streptococcus intermadius, 5 cases of Enterococcus faecium, 3 cases of Alcaligenes xylosoxidans subsp. xylosoxidans, 2 cases of Proteus mirabilis, 2 cases of Streptococcus isthmus, 2 cases of Enterobacter cloacae subsp. cloacae, 1 case of Citrobacter koseri, 1 case of Proteus vulgaris, 1 case of Pasteurella pneumotropica, 1 case of Curobacter freudii, 1 case of Enterobacter amnigenus, 1 case of Stenotrophomonas maltophilia, 1 case of Acinetobacter lwoffii, 1 case of Streptococcus salivarius, 1 case of Streptococcus bacterium, 1 case of Enterococcus avium, 1 case of Enterococcus faecalis, 1 case of Klebsiella oxytoca, and 1 case of Staphylococcus epidermidis were cultured in the pus respectively. There were 12 cases of double bacterial infection, and 2 cases of multiple bacterial infections. (2) Bacterial resistance. ① Resistance of Klebsiella pneumoniae and Escherichia coli: the drug resistance rates of Klebsiella pneumoniae to ampicillin, piperacillin, cefazolin, cefuroxime, cefotaxime, ceftriaxone, ceftazidime, cefotetan, cefepime, cefoxitin, amoxicillin/carat Retinoic acid, ampicillin/sulbactam, piperacillin/tazobactam, cefoperazone/sulbactam, aztreonam, imipenem, meropenem, ertapenem, gentamicin, tobramycin, amikacin, tigaricycline, ciprofloxacin, levofloxacin, and trimethoprim sulfamethoxazole were 99.79%(474/475), 4.09%(7/171), 12.18%(82/673), 7.34%(49/668), 2.34%(4/171), 1.96%(11/562), 5.85%%(10/171), 0(0/562), 0.55%(4/733), 1.42%(9/635), 0(0/733), 2.46%(18/733), 0.55%(4/733), 0.27%(2/733), 1.36%(10/733), 0.14%(1/733), 0(0/733), 0.36%(2/562), 0.95%(7/733), 0.41%(3/733), 0(0/733), 0(0/562), 1.64%(12/733), 0.95%(7/733), and 4.50%(33/733), respectively. The drug resistance rates of Escherichia coli to above antibiotics were 78.67%(59/75), 40.91%(18/44), 65.33%(49/75), 56.00%(42/75), 38.64%(17/44), 41.94%(13/31), 20.00%(15/75), 3.23%(1/31), 25.33%(19/75), 5.77%(3/52), 18.67%(14/75), 32.00%(24/75), 8.00%(6/75), 16.00%(12/75), 37.33%(28/75), 1.33%(1/75), 0(0/75), 0(0/31), 40.00%(30/75), 14.67%(11/75), 1.33%(1/75), 0(0/31), 54.67%(41/75), 37.33%(28/75), and 52.00%(39/75), respectively. ② Drug resistance of other Gram-negative bacteria: the drug resistance rates of Klebsiella pneumoniae subsp. pneumoniae to ampicillin, cefazolin, cefuroxime, ceftriaxone, ceftazidime, cefotetan, cefepime, amoxicillin/carat Retinoic acid, ampicillin/sulbactam, piperacillin/tazobactam, cefoperazone/sulbactam, aztreonam, imipenem, meropenem, ertapenem, gentamicin, tobramycin, amikacin, ciprofloxacin, levofloxacin, and trimethoprim sulfamethoxazole were 8/8, 0/5, 0/5, 0/1, 0/9, 0/2, 0/9, 0/8, 0/9, 0/9, 0/6, 0/9, 0/9, 0/7, 0/1, 0/9, 0/8, 0/9, 0/9, 0/9, and 0/9. The drug resistance rates of Acinetobacter baumannii to ceftriaxone, ceftazidime, cefepime, ampicillin/sulbactam, piperacillin/tazobactam, cefoperazone/sulbactam, aztreonam, imipenem, meropenem, gentamicin, tobramycin, amikacin, tigaricycline, ciprofloxacin, levofloxacin, and trimethoprim sulfamethoxazole were 2/6, 4/6, 3/6, 0/6, 4/6, 1/6, 2/6, 4/6, 2/6, 4/6, 4/6, 3/6, 0/6, 4/6, 2/6, and 3/6, respectively. The drug resistance rates of Alcaligenes xylosoxidans subsp. xylosoxidans to ampicillin, cefazolin, cefuroxime, ceftazidime, cefepime, amoxicillin/carat Retinoic acid, piperacillin/tazobactam, aztreonam, imipenem, gentamicin, tobramycin, amikacin, ciprofloxacin, and levofloxacin were 3/3, 3/3, 3/3, 1/3, 1/3, 1/3, 0/3, 3/3, 2/3, 3/3, 3/3, 3/3, 3/3, and 1/3. ③ Drug resistance of other Gram-positive bacteria: the drug resistance rates of Staphylococcus aureus to penicillin, ampicillin, piperacillin, cefazolin, cefuroxime, cefotaxime, ceftazidime, cefepime, cefoxitin, amoxicillin/carat Retinoic acid, ampicillin/sulbactam, piperacillin/tazobactam, cefoperazone/sulbactam, aztreonam, imipenem, meropenem, gentamicin, tobramycin, amikacin, tetracycline, tigaricycline, ciprofloxacin, levofloxacin, moxifloxacin, trimethoprim sulfamethoxazole, linezolid, erythromycin, clindamycin, vancomycin, teicoplanin, and rifampin were 2/6, 6/8, 4/5, 4/5, 4/5, 4/5, 4/5, 4/5, 4/5, 4/5, 4/5, 4/5, 4/5, 3/5, 2/5, 2/5, 3/8, 3/5, 3/5, 0/8, 0/8, 3/8, 3/11, 0/5, 1/8, 0/8, 0/8, 2/6, 3/3, 1/3, and 0/3. The drug resistance rates of Streptococcus viridians to penicillin, ampicillin, ceftriaxone, cefoperazone/sulbactam, gentamicin, tetracycline, ciprofloxacin, levofloxacin, moxifloxacin, linezolid, erythromycin, clindamycin, vancomycin, teicoplanin, and rifampin were 3/10, 0/8, 0/7, 0/7, 2/8, 6/10, 0/8, 0/8, 0/7, 0/5, 4/10, 6/10, 0/5, 0/5, and 0/3. The drug resistance rates of β-emolytic streptococcus to antibacterial agents were 0. ④ Drug resistance of complex bacteria. For the 12 patients with double bacterial infection, in the Klebsiella pneumoniae combined with Gram-negative bacteria, the drug resistance rates of Klebsiella pneumoniae to cefotetan, cefoxitin, ampicillin/sulbactam, meropenem, ertapenem, tobramycin, tigecycline, and trimethoprim sulfamethoxazole were 0. The drug resistance rates of Acinetobacter baumannii to ertapenem, levofloxacin, and trimethoprim sulfamethoxazole were 0. The drug resistance rates of Escherichia coli to ceftazidime, cefoxitin, amoxicillin/clavulanic acid, piperacillin/tazobactam, imipenem, meropenem, ertapenem, tobramycin, amikacin, and tigecycline were 0. Citrobacter florida was sensitive to other antibiotics than levofloxacin and trimethoprim cotrimoxazole. In the Escherichia coli combined with Gram-positive bacteria, the drug resistance rates of Escherichia coli to cefotetan, cefepime, cefoxitin, cefoperazone/sulbactam, meropenem, tobramycin, and amikacin were 0. The drug resistance rates of Enterococcus faecalis to penicillin, ampicillin, levofloxacin, moxifloxacin, linezolid, vancomycin, and teicoplanin were 0. The drug resistance rates of Enterococcus casselifavus to ampicillin, tetracycline, levofloxacin, moxifloxacin, linezolid, and erythromycin were 0. The drug resistance rates of Staphylococcus hominis subspecies to levofloxacin, moxifloxacin, linezolid, vancomycin, teicoplanin, and rifampicin were 0. The drug resistance rates of Enterococcus faecium to tetracycline, linezolid, vancomycin, and teicoplanin were 0. In the multiple bacterial infections of Klebsiella pneumoniae + Escherichia coli + Staphylococcus aureus subspecies + Pseudomonas aeruginosa + Torulopsis glabrata, the drug resistance rates of Klebsiella pneumoniae to ceftriaxone, ceftazidime, cefotetan, cefepime, cefoxitin, ampicillin/sulbactam, piperacillin/tazobactam, cefoperazone/sulbactam, aztreonam, imipenem, tobramycin, amikacin, and levofloxacin were 0. The drug resistance rates of Escherichia coli to ceftazidime, cefotetan, cefepime, ampicillin/sulbactam, piperacillin/tazobactam, cefoperazone/sulbactam, aztreonam, imipenem, and amikacin were 0. The drug resistance rates of Staphylococcus aureus subspecies to ceftriaxone, ceftazidime, cefotetan, cefepime, ampicillin/sulbactam, piperacillin/tazobactam, cefoperazone/sulbactam, aztreonam, imipenem, tobramycin, amikacin, tigecycline, moxifloxacin, cotrimoxazole, teicoplanin, vancomycin, linezolid, and clindamycin were 0. The drug resistance rates of Pseudomonas aeruginosa to ceftazidime, cefepime, piperacillin/tazobactam, imipenem, gentamicin, tobramycin, amikacin, ciprofloxacin, and levofloxacin were 0. The drug resistance rates of Torulopsis glabrata to 5-fluorocytosine, fluconazole, itraconazole, and voriconazole were 0. In the multiple bacterial infections of Klebsiella pneumoniae + Escherichia coli + Acinetobacter baumannii, the drug resistance rates of Klebsiella pneumoniae to cefotetan, cefepime, piperacillin/tazobactam, imipenem, ertapenem, tobramycin, ciprofloxacin, and levofloxacin were 0. The drug resistance rates of Escherichia coli to amoxicillin/clavulanic acid, piperacillin/tazobactam, imipenem, meropenem were 0. The drug resistance ratets of Acinetobacter baumannii to trimethoprim sulfamethoxazole was 0. Conclusions Klebsiella pneumoniae is the main pathogen of PLA, followed by Escherichia coli. Klebsiella pneumoniae and Escherichia coli are sensitive to meropenem and tigecycline. Klebsiella pneumoniae subsp. pneumoniae and other Gram-negative bacteria are sensitive to ertapenem. Staphylococcus aureus are sensitive to Linezolid. Antibiotics are selected after drug sensitivity test for patients.

Objective To study unfractionated heparin (UFH) effect on the expression of HOXA9 in activation of human umbilical vein endothelial cells (HUVECs) induced by lipopolysaccharide (LPS). Methods HUVECs were cultured and they were randomly divided into four groups (n = 5) for the challenge respectively: ① control group (with an equal volume of phosphate buffer saline); ② LPS group (LPS 10 mg/L); ③UFH group (UFH 10 kU/L);④ UFH+LPS group (10 kU/L UFH 30 minutes + LPS 10 mg/L). After treatment for 3 hours, the expressions of HOXA9, E-selectin and nuclear factor-κB (NK-κB) in endothelial cells were detected by Western Blot. Results Compared with the control group, the expression of HOXA9 in LPS group was significantly decreased, the expressions of E-selectin and NF-κB were significantly increased (HOXA9/β-actin: 0.082±0.009 vs. 0.199±0.067, E-selectin/β-actin:0.113±0.055 vs. 0.047±0.030, NF-κB/β-actin: 0.845±0.025 vs. 0.664±0.092, all P < 0.05). Compared with LPS group, the expression of HOXA9 in UFH+LPS group was significantly increased, the expressions of E-selectin and NF-κB were significantly decreased (HOXA9/β-actin: 0.190±0.096 vs. 0.082±0.009, E-selecin/β-actin: 0.057±0.017 vs. 0.113±0.055, NF-κB/β-actin: 0.544±0.060 vs. 0.845±0.025, all P < 0.05). Each protein expression of UFH group were in accordance with the control group. Conclusions In LPS stimulated endothelial cells, HOXA9 expression is down regulated, E-expression is reduced, and endothelial cell activation is inhibited. UFH can inhibit the activation of endothelial cells by decreasing the degree of HOXA9 reduced expression.

Objective To observe the effect of heparin on the cellular morphology and the expressions of nitric oxide (NO) and reactive oxygen species (ROS) in renal microvascular endothelial cells (RMVECs) stimulated by lipopolysaccharide (LPS). Methods The three step gradient screen method was used to primarily culture rat RMVECs, and the 3rd and 4th generation cells with excellent growth were collected. The cells were divided into blank control group, 10 mg/L LPS treatment group and 2.5, 5, 10 kU/L heparin pretreatment groups (the corresponding dose of heparin was given 0.5 hour before LPS stimulation). The morphology of the cells at 24 hours after LPS stimulation was observed by transmission electron microscope, the expression of ROS in RMVECs was determined by immunofluorescence at 5, 15, 30, 45 minutes after LPS stimulation, and the expression of NO in RMVECs was determined by nitrate reductase method. Results ① In blank control group, the RMVECs membrane was intact, and the mitochondria and endoplasmic reticulum in cells were clearly visible. The nuclear membrane was complete, and nucleolus was obvious. Cell bubble deformation was obvious at 24 hours after LPS stimulation, especially in the mitochondria and cell membrane. After 10 kU/L heparin pretreatment, the vacuolar degeneration of organelles was significantly reduced, and the cell membrane morphology was stable. ② The increases in ROS and NO in RMVECs could be detected at 5 minutes after LPS stimulation, showed an increase tendency with time prolongation, ROS expression peaked at 30 minutes, NO expression peaked at 45 minutes, which showed significant differences as compared with those of blank control group [30-minute ROS (mean density): 76.2±5.8 vs. 1.5±0.1, 45-minute NO (μmol/L): 70.3±8.6 vs. 1.8±0.1, both P < 0.01]. The expression of ROS and NO production in RMVECs were significantly reduced by heparin, showed a decrease tendency with heparin dose elevation, and the most obvious effect was 10 kU/L of heparin, with significant difference as compared with those of LPS treatment group [30-minute ROS (mean density): 16.8±1.7 vs. 76.2±5.8, 45-minute NO (μmol/L): 11.8±8.6 vs. 70.3±8.6, both P < 0.01]. Conclusions Unfractionated heparin ameliorates LPS induced expressions of NO and ROS in RMVECs and protects the cell morphology. The effect of 10 kU/L heparin is most obvious.

Objective To compare risk factors and bacterial etiology in patients with early-onset versus late-onset ventilator-associated pneumonia (VAP) in intensive care unit (ICU).Methods This prospective cohort study enrolled mechanically ventilated patients hospitalized for more than 48 hours in the first affiliated hospital,China Medical University from Jan 2012 to Jun 2016.Subjects were classified by ventilator status:early-onset VAP (＜ 5 d ventilation,E-VAP) or late-onset VAP (≥ 5 d ventilation,L-VAP).Potential risk factors and pathogen were evaluated.Results A total of 4 179 patients in adult ICU were screened,3 989 (95.5％) of whom were mechanically ventilated,962 patients with mechanical ventilation time ≥ 48 h.VAP developed in 142 patients.E-VAP and L-VAP had different potential risk factors based on statistical analysis.Independent risk factors for E-VAP included male (OR =1.825,95％ CI 1.006-3.310),chronic obstructive pulmonary disease (COPD;OR =3.746,95％ CI 1.795-7.818),emergency intubation (OR =1.932,95％ CI 1.139-3.276),aspiration (OR =3.324,95％ CI 1.359-8.130).Whereas independent risk factors for L-VAP were coma (OR =2.335,95％ CI 1.300-4.194),renal dysfunction (OR =0.524,95％ CI O.290-O.947),emergency intubation (OR =2.184,95％ CI 1.334-3.574).Mortality in E-VAP and L-VAP group were both higher than the non-VAP group[30.2％(19/63)vs 19.8％ (162/820),P=0.044;29.1％ (23/79) vs 19.8％(162/820),P=0.046].The pathogens isolated from early-onset versus late-onset VAP were not significantly different between groups,which the most common ones were acinetobacter baumannii,pseudomonas aeruginosa and klebsiella pneumoniae.Conclusion E-VAP and L-VAP have different risk factors,however related pathogens are similar.Different specific preventive strategies are suggested based on different onset of VAP.

Objective To investigate the effect of long?term exposure to environmental cadmium on eight mineral element's metabolic balance of human body. Methods To choose a high cadmium area polluted by smelting and mining north of Guangdong province and a cadmium?free area with a similar economic level, and living and eating habit of residents as a contrast from April 2011 to August 2012. Stratified random sampling and clustered sampling method were adopted to choose the non?occupationally cadmium?exposed respondents who have lived in local area for more than 15 years, older than 40 years, having local rice and vegetable as the main dietary source, with simple and relatively stable diet, and without diabetes, kidney disease, thyroid disease, liver disease or other history of chronic disease. This study included 298 respondents, of whom 155 were in cadmium exposure group and 143 in control group. Questionnaires was used to acquire their health status and their morning urine samples were collected. Electrolytically coupled plasma mass spectrometry (ICP?MS) was used to test the concentrations of sodium (Na), magnesium (Mg), phosphorus (P), potassium (K), calcium (Ca), copper (Cu), zinc (Zn) and iodine (I). The Mann?Whitney U test method was used to compare the differences of concentrations of urinary cadmium, Na, Mg, P, K, Ca, Cu, Zn, I, and the ratio of Na to K (Na/K), Ca to P (Ca/P) between exposed group and control group.χ2 test was used to compare the abnormal rate of urinary cadmium between exposed group and control group. Pearson correlation and multiple regression method were used to investigate the relationship between urinary cadmium levels, gender, age, smoking, passive smoking, and minerals. Results The urinary cadmium level P50 (P25-P75) in exposed group was 5.45 (2.62-10.68)μg/g·cr, which was higher than that of the control group, which was 1.69 (1.22-2.36)μg/g · cr (Z=-10.49, P<0.001). The abnormal rate of urinary cadmium was 51.6%(80/155), which was higher than that of the control group (2.8%(4/143)) (χ2=87.56,P<0.001). The urinary Ca, Cu, Zn, and I level P50 (P25-P75) of exposed group were 173.80 (114.40-251.70), 20.55 (14.95-28.44), 520.23 (390.25-647.15), and 246.94 (203.65-342.97)μg/g · cr, which were higher than those in control group (142.42 (96.87-179.11), 15.44 (12.26-20.98), 430.09 (309.85-568.78) and 213.85 (156.70-281.63) μg/g · cr, respectively) (Z values were-4.33,-5.04,-3.47 and-4.24, all P values<0.001). The urinary P, K level P50 (P25-P75) of exposed group were 582.50 (463.20-742.8), 890.10 (666.00-1 305.40) μg/g · cr, which were lower than control group (694.50 (546.20-851.17), 1 098.58 (904.53-1 479.18) μg/g · cr) (Z values were-3.36,-4.02, all P values <0.001). on Based the results of Pearson correlation analysis, urinary cadmium was positively correlated with urinary Ca, Cu, Zn, and I, and the correlation coefficients were 0.31, 0.61, 0.38, and 0.25, respectively(all P values<0.05). Based on the results of multiple regression analysis, urinary cadmium levels contributed most to the metabolic balance of urinary Ca, Cu, Zn and I. The standardized regression coefficients were 0.31, 0.59, 0.39, and 0.24, respectively (all P values<0.001). Conclusion Long?term environmental exposure to cadmium affected the metabolic balance of Ca, Cu, Zn and I in human body.

Objective To investigate dynamic change of cadmium body burden and renal dysfunction among residents living in cadmium?polluted areas. Methods From April to July of 2011, the cadmium?polluted areas of northern Guangdong province in China was chosen as the study site. Based on the levels of cadmium pollution in soil and rice, the survey areas were divided into low exposed group (average concentration of cadmium was 0.15-0.40 mg/kg, 0.5-1.0 mg/kg in rice and soil, respectively) and high exposed group (average concentration of cadmium was >0.40 mg/kg, >1.0 mg/kg in rice and soil, respectively). Stratified random sampling and cluster sampling method of epidemiological investigations were carried out among 414 local residents who lived in cadmium exposure areas for more than 15 years, aged above 40, and without occupational cadmium exposure, including 168 and 246 residents in low and high exposed group, respectively. From March to June of 2014, 305 respondents of those who participated in 2011 were successfully traced, including 116 and 189 respondents in low and high exposed group, respectively. We used health questionnaires to acquire their health status. Home?harvested rice and vegetable samples were collected using quartering method for detection of cadmium level, including 190 rice samples, 161 vegetable samples in 2011 and 190 rice samples, 153 vegetable samples in 2014. Urine specimens of residents were collected for the detection of urinary cadmium and creatinine as well as renal dysfunction biomarkers, namely, N?acetyl?beta?D?glucosamidase (NAG) andβ2?microglobulin (β2?MG), respectively. In 2011 and 2014, Chi?square test was used to investigate the differences of abnormality of cadmium concentration in rice, vegetables and urinary cadmium,β2?MG,and NAG that were expressed as odds ratio (OR) and 95%confidence intervals (95%CI). Results In 2011 and 2014, cadmium concentration P50 (P25-P75) in rice was 0.43 (0.17-1.10) mg/kg,and 0.42 (0.20-1.14) mg/kg, respectively (Z=-0.77, P=0.440). In 2011 and 2014, cadmium concentrations P50 (P25-P75) in vegetables were 0.13 (0.07-0.34) mg/kg,and 0.25 (0.12-0.59) mg/kg, respectively, with abnormal rates of 38.5%(62/161) and 60.8%(93/153), respectively. In 2014, both average concentration and abnormal rate of cadmium in vegetables were higher than those in 2011 (Z=-4.69,P<0.001 andχ2=15.58, P<0.001). Concentrations of urinary cadmium P50 (P25-P75) in high exposed group were 7.90 (3.96-14.91)μg/g creatinine, 8.64 (4.56-17.60)μg/g creatinine in 2011 and 2014, respectively. Contrary to that in 2011, urinary cadmium of high exposed group was significantly increased in 2014 (Z=-2.80 ,P=0.005). In 2011 and 2014, concentrations of β2?MG, NAG P50 (P25-P75) were 0.15 (0.07-0.29)μg/g creatinine, 0.15 (0.07-0.45)μg/g creatinine,and 7.12 (5.05-10.65) U/g creatinine, 13.55 (9.1-19.84) U/g creatinine, respectively, with abnormal rates of 7.5% (23/305), 15.1% (46/305) ,8.2%(25/305) , and 33.8% (103/305), respectively. Compared with baseline in 2011, average concentrations ofβ2?MG, NAG significantly increased in 2014 (Z=-2.263,P=0.024 and Z=-12.52,P<0.001), and abnormal rates ofβ2?MG, NAG were also higher in 2014 (χ2=15.61,P<0.001 andχ2=64.72,P<0.001), with odds ratio (OR) of 2.00 (95%CI:1.23-3.24) and 4.12 (95%CI:2.87-5.92). Conclusion Environmental cadmium pollution of crops such as rice and vegetables in survey areas continued to remain high. Body burden of cadmium might kept at sustainably high levels and renal dysfunction was worsened after continuous, long?term cadmium exposure. Our results suggested that NAG might be more sensitive than β2?MG to serve as an indicator for an individual's future tubular function.

Objective To investigate the effect of long?term exposure to environmental cadmium on eight mineral element's metabolic balance of human body. Methods To choose a high cadmium area polluted by smelting and mining north of Guangdong province and a cadmium?free area with a similar economic level, and living and eating habit of residents as a contrast from April 2011 to August 2012. Stratified random sampling and clustered sampling method were adopted to choose the non?occupationally cadmium?exposed respondents who have lived in local area for more than 15 years, older than 40 years, having local rice and vegetable as the main dietary source, with simple and relatively stable diet, and without diabetes, kidney disease, thyroid disease, liver disease or other history of chronic disease. This study included 298 respondents, of whom 155 were in cadmium exposure group and 143 in control group. Questionnaires was used to acquire their health status and their morning urine samples were collected. Electrolytically coupled plasma mass spectrometry (ICP?MS) was used to test the concentrations of sodium (Na), magnesium (Mg), phosphorus (P), potassium (K), calcium (Ca), copper (Cu), zinc (Zn) and iodine (I). The Mann?Whitney U test method was used to compare the differences of concentrations of urinary cadmium, Na, Mg, P, K, Ca, Cu, Zn, I, and the ratio of Na to K (Na/K), Ca to P (Ca/P) between exposed group and control group.χ2 test was used to compare the abnormal rate of urinary cadmium between exposed group and control group. Pearson correlation and multiple regression method were used to investigate the relationship between urinary cadmium levels, gender, age, smoking, passive smoking, and minerals. Results The urinary cadmium level P50 (P25-P75) in exposed group was 5.45 (2.62-10.68)μg/g·cr, which was higher than that of the control group, which was 1.69 (1.22-2.36)μg/g · cr (Z=-10.49, P<0.001). The abnormal rate of urinary cadmium was 51.6%(80/155), which was higher than that of the control group (2.8%(4/143)) (χ2=87.56,P<0.001). The urinary Ca, Cu, Zn, and I level P50 (P25-P75) of exposed group were 173.80 (114.40-251.70), 20.55 (14.95-28.44), 520.23 (390.25-647.15), and 246.94 (203.65-342.97)μg/g · cr, which were higher than those in control group (142.42 (96.87-179.11), 15.44 (12.26-20.98), 430.09 (309.85-568.78) and 213.85 (156.70-281.63) μg/g · cr, respectively) (Z values were-4.33,-5.04,-3.47 and-4.24, all P values<0.001). The urinary P, K level P50 (P25-P75) of exposed group were 582.50 (463.20-742.8), 890.10 (666.00-1 305.40) μg/g · cr, which were lower than control group (694.50 (546.20-851.17), 1 098.58 (904.53-1 479.18) μg/g · cr) (Z values were-3.36,-4.02, all P values <0.001). on Based the results of Pearson correlation analysis, urinary cadmium was positively correlated with urinary Ca, Cu, Zn, and I, and the correlation coefficients were 0.31, 0.61, 0.38, and 0.25, respectively(all P values<0.05). Based on the results of multiple regression analysis, urinary cadmium levels contributed most to the metabolic balance of urinary Ca, Cu, Zn and I. The standardized regression coefficients were 0.31, 0.59, 0.39, and 0.24, respectively (all P values<0.001). Conclusion Long?term environmental exposure to cadmium affected the metabolic balance of Ca, Cu, Zn and I in human body.