Objective: To construct a hypertension risk prediction model for residents aged 18-79 years, so as to provide an assessment tool for early screening and prevention of hypertension in high-risk groups. Methods: The permanent residents aged 18-79 years from 6 townships (streets) in Fangshan District of Beijing Municipality were selected as the study subjects using a multi-stage stratified random sampling method from March to June 2023. Demographic information, lifestyle, body mass index (BMI), blood pressure, fasting blood glucose, and blood lipid were collected through questionnaire survey, physical examination, and laboratory tests. Subjects were randomly divided into training and validation sets at a 7∶3 ratio. The logistic regression model was used to screen the risk factors of hypertension, and a hypertension risk prediction nomogram was constructed. Receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis were used to verify the discrimination, fit, and clinical application value of the model. Results: A total of 4 438 subjects were included, including 2 365 males (53.29%) and 2 073 females (46.71%), with a mean age of (44.99±14.90) years. The prevalence of hypertension was 35.29% (1 566 cases), and the standardized prevalence was 24.74%. The logistic regression model screened out 9 influencing factors of hypertension. The nomogram was established as ln[p/ (1-p)]= -2.873 + 0.935×40-<50 years + 1.463×50-<60 years + 1.908×60-<70 years + 2.346×70-79 years + 0.298×male-0.675×college degree or above + 0.384×smoking + 0.227×drinking + 0.572×overweight + 1.449×obesity + 0.557×heart rate ≥80 beats/min + 0.428×diabetes + 0.484×dyslipidemia. The area under the ROC curve of the validation set was 0.821 (95%CI: 0.798-0.843), and the calibration curve results showed that the calibration curve fitted the actual curve well. Decision curve analysis showed that the threshold probability was in the range of 0.10 to 0.70, and the model had good predictive value and clinical application value. Conclusion The nomogram based on age, gender, educational level, smoking, drinking, body mass index, heart rate, diabetes, and dyslipidemia can be used to predict the risk of hypertension among residents aged 18-79 years.

Objective: To investigate the prevalence, awareness, treatment and control rates of diabetes among residents in Fangshan District, Bejing Municipality, so as to provide reference for strengthening the prevention and control of diabetes. Methods: The residents aged 18 to 79 years were selected in Fangshan District using multistage stratified cluster sampling method from March to June 2023. Demographic information, lifestyle, body mass index, fasting blood glucose, and blood lipid were collected through questionnaire surveys, physical examinations and laboratory tests. The prevalence, awareness, treatment and control rates of diabetes among residents were analyzed and their influencing factors were identified using a multivariable logistic regression model. Results: A total of 4 438 residents were enrolled, including 2 367 males (53.33%) and 2 071 females (46.67%), and had a mean age of (44.99±14.90) years. The prevalence, awareness, treatment and control rates of diabetes were 15.75%, 57.37%, 56.22% and 22.90%, respectively. Multivariable logistic regression analysis showed that age (aged 30 to 39 years, OR=1.624, 95%CI: 1.011-2.609; aged 40 to 49 years, OR=3.469, 95%CI: 2.163-5.561; aged 50 to 59 years, OR=4.202, 95%CI: 2.595-6.803; aged 60 to 69 years, OR=7.229, 95%CI: 4.406-11.862; aged 70 to 79 years, OR=7.929, 95%CI: 4.665-13.479), obesity (OR=1.368, 95%CI: 1.071-1.748), hypertension (OR=1.943, 95%CI: 1.601-2.359) and dyslipidemia (OR=2.754, 95%CI: 2.287-3.317) were the factors affecting the prevalence of diabetes. Sex (women, OR=1.529, 95%CI: 1.019-2.293), age (aged 40 to 49 years, OR=4.971, 95%CI: 1.681-14.698; aged 50 to 59 years, OR=6.070, 95%CI: 2.045-18.020; aged 60 to 69 years, OR=6.902, 95%CI: 2.287-20.832; aged 70 to 79 years, OR=6.954, 95%CI: 2.191-22.070) and hypertension (OR=1.906, 95%CI: 1.337-2.718) were the factors affecting the awareness of diabetes. Age (aged 40 to 49 years, OR=4.699, 95%CI: 1.594-13.855; aged 50 to 59 years, OR=5.990, 95%CI: 2.023-17.732; aged 60 to 69 years, OR=7.134, 95%CI: 2.370-21.470; aged 70 to 79 years, OR=6.639, 95%CI: 2.102-20.964) and hypertension (OR=1.857, 95%CI: 1.304-2.645) were the factors affecting the treatment of diabetes. Age (aged 40 to 49 years, OR=2.948, 95%CI: 1.349-6.438; aged 60 to 69 years, OR=2.344, 95%CI: 1.049-5.234) was the factor affecting the control of diabetes. Conclusions The prevalence rate of diabetes among residents in Fangshan District was high, and the improvements of awareness rate, treatment rate and control rate were not obvious. Health education and management of diabetes should be strengthened for elderly, hypertensive and dyslipidemic residents.

OBJECTIVE To explore the distribution pattern of traditional Chinese medicine(TCM)syndrome types of primary o-varian insufficiency(POI)sleep disorders and the differences in the distribution of sleep quality index among different syndrome types,in order to provide a basis for syndrome differentiation treatment and prevention of POI associated with sleep disorders.METHODS 600 POI patients who met the inclusion criteria were collected for epidemiological investigation,and 405 patients who met the diagnosis of sleep disorders were selected as the research group.The patients'general information,TCM four diagnosis and sex hormone level in-formation were collected,and the Pittsburgh sleep quality index(PSQI)scale was used to evaluate patients'sleep conditions,and ana-lyze the characteristics and influencing factors of TCM syndrome types of POI associated with sleep disorders.RESULTS The main TCM syndrome types of POI accompanied by sleep disorders were heart and kidney disharmony syndrome(41.98%),spleen and kid-ney yang deficiency syndrome(22.22%),kidney deficiency and liver stagnation syndrome(20.99%),and kidney deficiency and blood stasis syndrome(14.81%).The heart and kidney disharmony syndrome had the longest sleep latency and shortest sleep time,relied more on hypnotic drugs,and had the highest PSQI total score;the heart and kidney disharmony syndrome and kidney deficiency and liver stagnation syndrome had the worst sleep quality;the spleen kidney yang deficiency syndrome had the highest daytime dysfunc-tion score.There was no significant difference in FSH levels among different TCM syndrome types;the distribution of E2 values from low to high was:heart and kidney disharmony syndrome,kidney deficiency and liver stagnation syndrome,spleen and kidney yang de-ficiency syndrome,and kidney deficiency and blood stasis syndrome,and there were significant differences among multiple groups(P<0.05).CONCLUSION The main TCM syndrome types of patients with POI and sleep disorders are heart and kidney disharmony syn-drome,spleen and kidney yang deficiency syndrome,kidney deficiency and liver stagnation syndrome,and kidney deficiency and blood stasis syndrome.Among them,the most common TCM syndrome type with the worst sleep quality is heart and kidney disharmony syn-drome,which may be closely related to estrogen E2 levels.

OBJECTIVE： To establish HPLC fingerprint of Pholidota chinensis and cluster analysis the samples， and to provide reference for quality evaluation of P. chinensis. METHODS： HPLC fingerprints of 16 batches of P. chinensis from Guangxi， Guangdong and Fujian were established according to 2012 edition of Similarity Evaluation System for Chromatographic Fingerprint of TCM [chromatographic column was Agilent SB-aq column with mobile phase consisted of acetonitrile-0.05％ phosphoric acid solution （gradient elution）， at the flow rate of 1.0 mL/min. The detection wavelength of 220 nm， the column temperature was 30 ℃ and the sample volume was 5 μL].The cluster analysis was carried out by using SPSS 22.0 statistical software. RESULTS： Accoding to the established HPLC fingerprint， 11 common peaks were indentified， and the common peak 1 was identified as gastrodin； the similarity of 16 batch of samples was greater than 0.9. 16 batches of medicinal materials could be divided into 2 groups. CONCLUSIONS： The established HPLC fingerprint and cluster analysis can provide reference for the quality control of     P. chinensis.

OBJECTIVETo analyze the common hemorrhage sites during laparoscopic rectal cancer surgery in order to take reasonable prevention and management.

METHODSClinical data of 355 rectal cancer patients who underwent laparoscopic total mesorectal excision in Shanxi Provincial People's Hospital from January 2012 to December 2014 were retrospectively analyzed. Common bleeding sites, blood loss, and hemostasis time were recorded. According to the date of operation, patients were divided into 2012 group (91 cases), 2013 group (122 cases) and 2014 group(142 cases). Hemorrhage rates were compared among three groups.

RESULTSNo significant differences were observed in the baseline data among the three groups(all P>0.05). The location in the order of the hemorrhage rate from high to low was seminal vesicle tail (63.0%, 131/208), inferior mesenteric vessels (27.3%, 97/355), Toldt's space (24.2%, 86/355), lateral rectal ligaments (12.1%, 43/355) and post-rectal spatial (8.2%, 29/355). According to the blood loss, post-rectal spatial[(14.1±7.1) ml], inferior mesenteric vessels [(12.7±6.1) ml] and seminal vesicle tail [(12.4±6.5) ml] were ranked in top three. The hemostasis time of seminal vesicle tail [(11.5±6.6) minutes] and post rectal spatial [(10.3±7.8) minutes] was longer than the others. Compared with 2012 group, shorter operative time [(205±50) minutes vs. (235±55) minutes, t=4.296, P=0.001], less blood loss [(35±19) ml vs. (81±24) ml, t=16.243, P=0.001] and lower hemorrhage rate [Toldt's space: 7.7%(11/142) vs. 39.6%(36/91), inferior mesenteric vessels: 9.2%(13/142) vs. 44.0%(40/91), post-rectal spatial: 0.7%(1/142) vs. 15.4%(14/91), lateral rectal ligaments: 2.1%(3/142) vs. 29.7%(27/91) and seminal vesicle tail: 50.6%(41/81) vs. 79.6%(43/54)] were found in 2014 group. The decline of hemorrhage rate in seminal vesicle tail was the slowest (χ=11.792, P=0.003).

CONCLUSIONSThe common hemorrhage sites during the laparoscopic rectal cancer surgery are inferior mesenteric vessels, Toldt's space, lateral rectal ligaments, post rectal spatial and seminal vesicle tail. Appropriate preventive measures can ameliorate the intraoperative bleeding significantly, however, more attention should be paid to the seminal vesicle tail during operation because of its higher hemorrhage rate, more blood loss and difficult hemostasis.