Objective: To investigate the classification, prognosis and causes of acute gastrointestinal injury(AGI) in PICU patients in our hospital. Methods: Patients were included if they had been hospitalized in PICU at least 24 h before the AGI diagnosis from January 2015 to April 2018.Patients were classified according to severity of gastrointestinal dysfunction.Clinical characteristics, pediatric critical illness scores, pediatric logistic organ dysfunction score 2 and 28-day mortality, as well as mechanical ventilation were recorded. Results: A total of 220 patients were enrolled.AGIⅠ-Ⅳ groups included 66(30.0%), 97(44.1%), 37(16.8%)and 20(9.1%) patients, respectively, while primary AGI and secondary AGI included 149(67.7%) and 71 (32.3%)patients, respectively.There was no significant difference among four groups in gender, hospitalization time in PICU and total hospitalization time (P>0.05), but there were significant differences in median age, pediatric critical illness scores, pediatric logistic organ dysfunction score 2 and proportion of mechanical ventilation(P<0.05). Median age(month) was 3 (1, 15), 11 (2, 24), 11 (2, 36), and 4 (0.5, 11.5), respectively in AGI Ⅰ-Ⅳ groups.The total 28-day mortality rate of AGI Ⅰ-Ⅳ groups accounted for 0, 0, 13.2% and 3.2%, respectively. Conclusion Patients in PICU are prone to AGI.AGIⅠand AGI Ⅱare common.The prognosis is associated with classification of AGI.The higher grades of AGI are, the worse prognosis is.The prognosis of AGI Ⅲ is the worst, because of different causes.

Objective To evaluate the preoperative nutritional status of patients with gastric carcinoma by using the European Nutritional Risk Screening 2002(NRS 2002)and its prediction for postoperative nutrition-related complications.Methods We prospectively evaluated the nutritional risk of 314 gastric cancer patients admitted in one center from 2004 to 2007 with NRS 2002 with China's normal body mass index(BMI),in terms of postoperative complications,mortality and hospital stay.Results NRS 2002 scoring system was applicable in 93.1% cases.Preoperatively 125 patients were of score≥3,accounting for 39.8% of this group.The postoperative complication rate(26.2%)was higher than 13.8% in those with normal preoperative nutritional scores(NRS 2002 score＜3)(P＜0.05);The odds ratio to develop a complication was 0.642 in patients with preoperative nutritional risk score(P＜0.05),and 1.596 in patients with clinicopathological stage of gastric cancer(P＜0.01).The correlation between length of hospital stay and nutritional risk was also assessed by Pearson correlation analysis.The Pearson coefficient was 0.177(P=0.002).Conclusion Preoperative nutrition score(NRS 2002)≥3 predicts higher postoperative complications and longer hospital stay.Preoperative nutritional support is necessary in patients with preoperative nutrition score(NRS 2002)≥3.

Background Exposure to heavy metals has potential adverse impacts on human health, and the concentration of heavy metals in abandoned mining areas may still be higher than that in general areas, so the health risk assessment in such areas cannot be ignored. Objective To explore the health risk of heavy metal exposure and the spatial distribution characteristics of associated main metals in a typical abandoned mining area. Methods Environmental samples of irrigated soil, rice, and drinking water were collected from 13 natural villages under the jurisdiction of a township in Liuzhou, Guangxi from November to December 2019, where a typical abandoned mining was located. Finally, 13 irrigation soil samples, 11 rice samples, and 13 drinking water samples were collected. The concentrations of six metals and metalloid elements in each environmental sample were detected by inductively coupled-plasma mass spectrometry (ICP-MS), including cadmium (Cd), arsenic (As), lead (Pb), chromium (Cr), copper (Cu), and zinc (Zn). At the same time, 251 local residents were recruited for health risk assessment. Model parameters such as body weight, rice intake, and drinking water intake of local residents were obtained through field survey, and the median metal concentration of each environmental sample was taken as the risk assessment parameter of the region. The health risk of heavy metal exposure of local residents was assessed by using oral health risk assessment model of U.S. Environmental Protection Agency. The spatial distribution characteristics of health risks associated with heavy metals were evaluated by empirical Bayes interpolation method using Geographic Information System (GIS) technology. Results The positive rates of Cd, As, Pb, Cr, Cu, and Zn in the irrigated soil samples were 100.00%. The positive rate of Pb was 63.64% in the rice samples, while the rates of other metals were 100.00%. The positive rates of Cd, As, Pb, Cr, Cu, and Zn in the drinking water samples were 53.85%, 76.92%, 92.31%, 15.38%, 84.62%, and 100.00%, respectively. The results of non-carcinogenic risk assessment of oral exposure to heavy metals suggested that the contribution of heavy metals causing non-carcinogenic risk from high to low was As (70.52%) > Cd (18.03%) > Zn (6.63%) > Cu (4.12%) > Pb (0.64%) > Cr (0.06%), and the corresponding estimated non-carcinogenic risk values were 3.54 × 10⁰, 9.05 × 10⁻¹, 3.33 × 10⁻¹, 2.07 × 10⁻¹, 3.23 × 10⁻², and 5.42 × 10⁻⁴, respectively. The results of carcinogenic risk assessment of oral exposure to heavy metals suggested that the contribution of studied metals from high to low was Cd (87.00%) > As (10.24%) > Cr (2.60%) > Pb (0.16%), and the estimated carcinogenic risks were 4.35× 10⁻³, 5.12 × 10⁻⁴, 1.30 × 10⁻⁴, and 3.08 × 10⁻⁷, respectively. Rice was the leading media associated with non-carcinogenic risk and carcinogenic risk (99.4% and 99.8% respectively). The spatial distribution characteristics of GIS showed no obvious regularity in the distribution of As in irrigated soil, rice, and drinking water. In rice and irrigated soil, the content of Cd in the villages adjacent to the mining area was obviously higher than that in the other villages, while in drinking water, the content in the villages far away from the mining area was higher. Conclusion As and Cd are the main heavy metals that increase the health risk of local residents in a typical abandoned mining area, and the distribution characteristics of the two heavy metals in different environmental media are not completely consistent.