Objective: To understand the status of pinworm infection in rural children aged 3-9 years in Anhui Province, and to provide scientific basis for the prevention and control strategy of pinworm disease. Methods: According to the National Surveillance Program of Liver Fluke Disease and Soil Transmitted Nematodiasis(Trial), no less than 10% counties(cities and districts) in Anhui Province were selected as mobile surveillance sites every year. Each surveillance site was divided into 5 areas on the basis of geographical location(east, west, south, north and middle), from each of the areas, one administrative village was selected from one township(town, community) for conducting surveillance. Children at age 3-9 years from each site were examined for pinworm infection with the modified Kato-Katz thick smear method and the adhesive cellophane tape perianal swab method. Chi square test was used to compare the infection rate. Results: From 2017 to 2021, the 5 year average infection rate of pinworm in rural Anhui was 1.34%(128/9 557), and there was no significant difference in the infection rate over the years( P >0.05). The detection rates of the modified Kato-Katz thick smear method and the adhesive cellophane tape perianal swab method were 0.28% and 1.23%, respectively, the difference was statistically significant( χ 2=72.97, P <0.01). In different regions, the 5 year average infection rate of Fuyang City was the highest(4.27%), and the rate of each city was positively correlated with the number of local resident population( r =0.54, P <0.05). There was no significant sex difference in the 5 year average infection rates( P >0.05). The 5 year average infection rate of children aged 3 to 9 years in rural areas were 0.62%, 1.10%, 1.44%, 1.57%, 0.94%, 2.09% and 1.57%, respectively, showed an increasing trend with the increase of age( χ 2=14.41, χ 2 trend =6.70, P <0.05). There was no significant difference in the average infection rate between scattered children and collectively living children( P >0.05). Conclusion From 2017 to 2021, the infection rate of pinworm among children in rural Anhui province remains at a low level. In the future, health education and monitoring should be strengthened.

Objective:To explore the clinical characteristics and prognostic influencing factors of multiple primary lung cancer (MPLC), and to construct a prognostic prediction model.Methods:The clinical data and prognostic information of MPLC patients diagnosed by pathological examination included in the Surveillance, Epidemiology, and End Results (SEER) database from January 2010 to December 2020 were retrospectively analyzed. Patients were randomly divided into training and validation sets according to a 7:3 ratio using R software. Survival curves were plotted by using the Kaplan-Meier method and log-rank test was used for comparison between groups. The independent influencing factors of overall survival (OS) of MPLC patients in the training set were screened using univariate and multivariate Cox proportional hazards models, and accordingly, the nomogram predicting the survival rate of patients at 3, 5 and 8 years were plotted. In the training and validation sets, using the actual survival as the gold standard, the receiver operating characteristic (ROC) curves of the constructed models for predicting the patients' 3-, 5- and 8-year OS rates were plotted, the area under the curve (AUC) was obtained, and C-index of the model was analyzed by using R software. The calibration curves of 3-, 5- and 8-year OS rates predicted by the models and the actual OS rates were plotted.Results:A total of 5 495 MPLC patients were included, 3 846 in the training set and 1 649 in the validation set. The differences in the composition of patients of different ages and AJCC stages between the training and validation sets were statistically significant (both P < 0.05), and the differences in the comparison of other clinicopathological characteristics were not statistically significant (all P > 0.05). The results of multivariate Cox regression analysis showed that males (compared with females, HR = 1.256, 95% CI: 1.144-1.379, P < 0.001), age ≥ 70 years old (compared with 50-59 years old, HR = 1.201, 95% CI: 1.030-1.400, P = 0.019), FPLC with pathological types of squamous cell carcinoma or other types (compared with adenocarcinoma, HR = 1.275, 95% CI: 1.137-1.431, P < 0.001; HR = 1.208, 95% CI: 1.041-1.403, P = 0.013), and SPLC with pathological types of squamous cell carcinoma, small cell lung carcinoma, or other types (compared with adenocarcinoma, HR = 1.270, 95% CI: 1.121-1.440, P < 0.001; HR = 1.978, 95% CI: 1.642-2.384, P < 0.001; HR = 1.246, 95% CI: 1.090-1.424, P = 0.001), and AJCC stage Ⅲ and Ⅳ (compared with stage Ⅰ, HR = 1.645, 95% CI: 1.447-1.869, P < 0.001; HR = 2.078, 95% CI: 1.669-2.587, P < 0.001), FPLC without operation (compared with operation, HR = 1.263, 95% CI: 1.038-1.536, P = 0.020), SPLC without operation (operation vs. no operation, HR = 0.680, 95% CI: 0.579-0.799, P < 0.001), FPLC without lymph node dissection or with clearance of 1-3 regional lymph nodes (compared with clearance of ≥4, HR = 1.225, 95% CI: 1.016-1.477, P = 0.034; HR = 1.314, 95% CI: 1.103-1.566, P = 0.002), FPLC with maximum diameter 3-5 cm or >5 cm (compared with <3 cm, HR = 1.181, 95% CI: 1.053-1.324, P = 0.005; HR = 1.232, 95% CI: 1.069-1.420, P = 0.004), and SPLC with maximum diameter 3-5 cm or >5 cm (compared with <3 cm, HR = 1.560, 95% CI: 1.362-1.786, P < 0.001; HR = 1.727, 95% CI: 1.451-2.054, P < 0.001), and FPLC without chemotherapy (chemotherapy vs. no chemotherapy or unknown, HR = 0.744, 95% CI: 0.655-0.845, P < 0.001) were the independent risk factors of patients' poor OS (all P < 0.05). The results of Kaplan-Meier survival analysis showed that the OS of patients with different gender, race, age, two tumor locations, AJCC staging, pathological type of two lung tumors, maximum diameter of two tumors, and whether two tumors were treated surgically or not, and whether two tumors were treated with chemotherapy or not in the training set were compared, and the differences were all statistically significant (all P < 0.05). Based on the independent factors affecting the OS of MPLC patients screened by the results of multivariate Cox regression analysis, nomogram predicting the 3-, 5- and 8-year OS rates of MPLC were plotted. The results of ROC curve analysis showed that the C-index of the training set's nomogram was 0.679 (95% CI: 0.649-0.701), and the AUC values for predicting the 3-, 5- and 8-year OS rates were 0.601, 0.595 and 0.586, respectively; the C-index of the validation set was 0.678 (95% CI: 0.633-0.720), and the AUC values for predicting 3-, 5- and 8-year OS rates were 0.643, 0.631 and 0.626, respectively. The calibration curves showed that the 3-, 5- and 8-year OS rates of patients predicted by the nomogram models in both the training and validation sets were in good agreement with the actual results with a high goodness-of-fit. Conclusions:The established prognostic model has good predictive value and can effectively assess the prognosis of patients.