Objective To establish an Oncomelania hupensis snail database based on smartphone and Google Earth. Meth?ods The HEAD GPS software was loaded in the smartphone first. The GPS data of the snails were collected by the smartphone. The original data were exported to the computer with the format of KML/KMZ. Then the data were converted into Excel file for?mat by using some software. Finally the results based on laboratory were filled and the digital snail data were established. The data were converted into KML and then were showed by Google Earth visually. Results The snail data of a 5 hm2?beach along the Yangtze River were collected and the distribution of the snails based on Google Earth was obtained. The database of the snails was built. The query function was implemented about the number of the total snails the living snails and the schistosome infected snails of each survey frame. Conclusion The digital management of the snail data is realized by using the smartphone and Google Earth.

Objective To make various schistosomiasis epidemic maps based on Google Earth. Methods The various ele-ments for schistosomiasis epidemic maps were marked in the Google Earth platform by adding the place mark,path,polygon, overlay and so on. Results Various schistosomiasis epidemic maps were produced and saved,such as the schistosomiasis epi-demic area map of the city,the map of Oncomelania hupensis snail distribution in the town,and the schematic map of snail envi-ronments. Conclusion The schistosomiasis epidemic maps based on Google Earth are clear and visual. The production process is very simple and easy to learn. It is suitable for the use in the grass-root schistosomiasis control stations.

Objective To evaluate the incidence of surgical site infection (SSI)in patients with colorectal cancer and identify the risk factors of SSI.Methods A total of 392 patients who underwent colorectal cancer resection at the First Affiliated Hospital of Chongqing Medical University between September 2012 and September 2013 were included and analyzed in terms of the presence of SSI.SSI risk factors were identified by both univariate and multivariate analysis.Results The overall incidence of SSI was 23.0%.Univariate analysis showed that duration of operation above 75 th percentile,colostomy,surgical procedure, type of surgical incision,and American Society of Anesthesiologists (ASA)score were significantly associated with higher risk of SSI (P <0.05).Binary logistic regression suggested that duration of operation above 75 th percentile (P = 0.000,OR =3.017),colostomy (P =0.008,OR=2.642),Contaminated incision (P =0.016,OR=3.311)and laparoscopic surgery (P =0.016,OR=0.523)were significantly different in terms of presence or absence of SSI.Conclusions Duration of operation above 75th percentile,colostomy and contaminated incision are independent risk factors,while laparoscopic surgery is a protective factor for SSI in patients with colorectal cancer.

Objective To evaluate the relationship between the changes in gray matter volume ( GMV) in different brain regions in the early postoperative period and the development of chronic pain after radical mastectomy. Methods Forty-four American Society of Anesthesiologists physical status Ⅰ or Ⅱpatients, aged 25-64 yr, scheduled for elective radical mastectomy, were divided into 3 groups according to the numeric rating scale ( NRS) score within 3 months after surgery: severe chronic pain group ( NRS score≥3, group SEP), slight chronic pain group (NRS score=1 or 2, group SLP) and no chronic pain group ( NRS score=0, group NP ) . All the patients underwent whole brain MRI scan within 7 days after surgery. MRI data processing and analysis were carried out using SPM8-based VBM software package and REST 1. 8 software. Results There were 17 cases in group SEP, 10 cases in group SLP and 17 cases in group NP. Compared with group NP, GMV in the right postcentral gyrus was significantly decreased, and GMV in the right superior frontal gyrus was increased in group SEP ( P＜0. 01) . Conclusion The changes in GMV in the right postcentral and superior frontal gyrus in the early postoperative period may be related to the development of chronic pain after radical mastectomy.

Objective:To explore the risk factors for mortality in pediatric acute respiratory distress syndrome (PARDS) requiring extracorporeal membrane oxygenation (ECMO) support.Methods:Clinical data of 109 patients with severe PARDS supported by ECMO, who were hospitalized in 6 ECMO centers in China from September 2012 to February 2020, were retrospectively analyzed. They were divided into survival group and death group according to the prognosis. Chi-square test and rank sum test were used to compare the variables between the two groups, including the demographic data, laboratory examination results, clinical data before and after ECMO, and other supportive treatment. Univariate and multivariate Logistic regression models were used to analyze the prognostic risk factors.Results:In these 109 cases, 54 died and 55 survived. Compared with the survival group, the death group had higher incidences of acute kidney injury (AKI) (48.1% (26/54) vs. 21.8% (12/55) , χ2=8.318, P=0.004) and coagulation dysfunction (22.2% (12/54) vs. 7.3% (4/55) , χ2=4.862, P=0.027), and higher rate of renal replacement therapy (48.1% (26/54) vs. 21.8% (12/55) , χ2=9.694, P=0.008) during ECMO support. Logistic regression analysis showed that continuous renal replacement therapy (CRRT) and AKI were independent risk factors for death in patients with severe PARDS requiring ECMO support ( HR=3.88,95% CI 1.04-14.52, HR=4.84,95% CI 1.21-19.46, both P<0.05). Conclusion:AKI and CRRT are independent risk factors for predicting mortality in patients with severe PARDS requiring ECMO support.

Objective:To explore the factors affecting the prognosis of severe pediatric acute respiratory distress syndrome (ARDS) after receiving extracorporeal membrane oxygenation (ECMO) support.Methods:It was a multicenter prospective observational study. A total of 95 children with severe ARDS who were treated with ECMO salvage therapy from January 2018 to December 2022 in 9 pediatric ECMO centers in China were enrolled in the study. The general data, disease severity, organ function, comprehensive treatment and prognosis were recorded, and they were divided into survival group and death group according to the outcome at discharge. T test, chi-square test, multivariate Logistic regression and mixed linear model were used to analyze the relationship among baseline before ECMO treatment, some important indicators (pediatric critical scores, platelet count, albumin, fibrinogen, etc) during ECMO treatment and prognosis. Results:Among the 95 children with severe ARDS who received ECMO, 55 (58%) were males and 40 (42%) were females, aged 36.9 (0.5, 72.0) months. Twelve children (13%) were immunodeficient. Sixty-eight (72%) children were treated with venous artery (VA) mode and 27 (28%) with venous vein (VV) mode. The discharge survival rates of overall, VA, and VV mode children were 51% (48/95), 47% (32/68), and 59% (16/27), respectively. The number of immunodeficient children in the death group was higher, and there were lower pediatric critical scores, platelet count, albumin, fibrinogen and arterial oxygen partial pressure/fraction of inspired oxygen (PaO 2/FiO 2), higher ventilator driving pressure (ΔP), oxygenaion index (OI), and longer ARDS duration before ECMO (all P<0.05). There were no statistically significant differences in other indicators, including age, gender, weight, and ECMO mode among different prognostic groups (all P>0.05). High ΔP, high OI, low P/F, and low albumin were high-risk factors affecting prognosis(all P<0.05). After further grouping, it was found that ΔP≥25 cmH 2O (1 cmH 2O=0.098 kPa), P/F≤67 mmHg (1 mmHg=0.133 kPa) and OI≥35 were the thresholds for predicting poor prognosis ( P<0.05). From 24 h after ECMO, there were significant differences in ΔP, P/F and OI between the dead group and the survival group (all P<0.05), and the differences gradually increased with the ECMO process. The platelet level was significant from 7 days after ECMO ( P<0.05) and gradually expanded. Blood lactate levels showed a significant difference between the 2 groups on before and after ECMO ( P<0.05) and gradually increased from 24 h after ECMO. Conclusions:The risk factors affecting the prognosis of severe ARDS in ECMO include high ΔP, high OI, low P/F and low albumin purification therapy before ECMO. The gradual decrease of ΔP, OI and increase of P/F from 24 h of ECMO predicted a good prognosis, while the gradual increase of lactate after ECMO application showed a poor prognosis.