ObjectiveTo understand the prevalence of anorectal diseases in the elderly in the community, and to evaluate the role of electronic rectosigmoidoscope in the screening of anorectal diseases.MethodThe resident population aged 60–74 in the Xichang’an Street Area of Xicheng District of Beijing were collected to complete the initial screening by filling in the risk factor assessment questionnaire, and who were classified as the high-risk with positive initial screening were admitted to the diagnostic re-screening by electronic rectosigmoidoscope.ResultsThere were 4 782 screening subjects, while 4 347 people actually participated in the initial screening, and 2 997 people were positive (positive rate was 68.9%). Among them, 2 312 participated in the electronic rectosigmoidoscope screening, and the compliance rate was 77.1%. A total of 2 275 patients with various anorectal diseases were detected by electronic rectosigmoidoscope, 1 311 (56.7%) of whom were hemorrhoids, 458 (19.8%) were rectal polyps, 154 (6.7%) were anal papillary hypertrophy, 147 (6.4%) were proctitis, 103 (4.4%) were anal fissure, 52 (2.2%) were anal fistula , 33 (1.4%) were rectal melanoma , and 17 (0.7%) were suspected rectal cancer. The detection rates of rectal polyps, proctitis, and anal fistula in the men were higher than those in the women (P<0.05), while the detection rates of hemorrhoids, anal papilla hypertrophy, anal fissure, and rectal melanosis in the women were higher than those in the men (P<0.05).ConclusionsAs a screening tool, electronic rectosigmoidoscope has the characteristics of simple operation, good compliance of the subject, and high compliance rate for re-screening. It is suitable for large-scale screening of anorectal diseases for elderly residents in the community.
ObjectiveTo establish a hypertension prediction model for middle-aged and elderly people in China and to use the basic public health service database for performance validation. MethodsThe literature related to hypertension was retrieved from the internet. Using meta-analysis to assess the effect value of influencing factors. Statistically significant factors, which were also combined in the database, were extracted as the predictors of the models. The predictors’ effect values were logarithmarithm-transformed as the parameters of the Logit function model and the risk score model. Participants who were never diagnosed with hypertension at the physical examination of health service project of Hongguang Town Health Center in Pidu District of Chengdu from January 1, 2017, to January 1, 2022, were considered as the external validation group. ResultsA total of 15 original studies were involved in the meta-analysis and 11 statistically significant influencing factors for hypertension were identified, including age, female, systolic blood pressure, diastolic blood pressure, BMI, central obesity, triglyceride, smoking, drinking, history of diabetes and family history of hypertension. Of 4997 qualified participants, 684 individuals were identified with hypertension during the five-years follow-up. External validation indicated an AUC of 0.571 for the Logit function model and an AUC of 0.657 for the risk score model. ConclusionIn this study, we developed two different prediction models based on the results of meta-analysis. National basic public health service database is used to verify the models. The risk score model has a better prediction performance, which may help quickly stratify the risk class of the community crowd and strengthen the primary-level assistance system.