Purpose/Significance By using data mining methods,the medication rules and prescription characteristics of traditional Chinese medicine(TCM)for treating hypertension with preserved ejection fraction heart failure are discussed.Method/Process The da-tabase is established based on the TCMprescription information of hypertensive patients with preserved ejection fraction heart failure ad-mitted to the Cardiovascular Disease Department of the First Affiliated Hospital of Heilongjiang University of Chinese Medicine from Janu-ary 2019 to July 2022.SPSS Statistics and Moderler software are used to analyze the frequency,taste,meridian tropism,efficacy,associ-ation rules,clustering and factor analysis of the prescriptions to explore medication rules.Result/Conclusion TCMin the treatment of hy-pertension with preserved ejection fraction heart failure is mainly to replenish qi and spleen,nourish the heart and calm the mind,relieve phlegm,relieve cough and asthma,and pay attention to promoting blood circulation and removing blood stasis,promoting water infiltra-tion and dampness,which can reflect the overall concept of TCMand the characteristics of diagnosis and treatment based on syndrome dif-ferentiation and provide references for clinical medication.

Objective:To explore the association between the frequency of using smoking cessation application (APP) and the effect of smoking cessation in smoking cessation clinic.Methods:A clinical trial with a non-randomized controlled design was conducted in the smoking cessation clinic of China-Japan Friendship Hospital from July 2019 to June 2021. Participants were given a comprehensive smoking cessation intervention of mobile APP combined with bupropion. The primary outcome measures were carbon monoxide validated sustained abstinence at 9-12 weeks.Results:A total of 187 participants were included in the final analysis. After 12-week intervention, the sustained abstinence at 9-12 weeks was 42.2%. For the frequency of APP use, 20.9% (39/187) of the participants used it≥6 days per week, 62.0% (116/187) used it 2-5 days per week, and 17.1% (32/187) used it≤1 day per week. Multivariate analysis showed that smoking cessation rate was associated with smoking duration, cigarettes smoked per day and frequency of APP use. Participants with higher frequency of APP use had a higher likelihood of quitting smoking ( OR=4.95, 95% CI: 1.32-18.63). Conclusion:The increased frequency of mobile smoking cessation APP use is associated with higher probability of quitting smoking in smoking cessation clinic.

Objective:To describe the study methods and baseline characteristics of participants enrolled in mCessation program.Methods:This is a longitudinal, real-world study with non-randomized controlled design. The mCessation program consisted of a WeChat official account, an applet and a website using the same name ‘mCessation Online’. After users followed the WeChat account, filled in baseline information online and set a quit date, they would receive 162 short text messages in the next six and a half months as scheduled. This study collected the information of participants enrolled from May 26, 2021 to September 30, 2022, and analyzed baseline data including demographic characteristics, smoking characteristics, degree of tobacco dependence, reasons for smoking cessation and other related factors.Results:During the study period, a total of 16 746 participants registered, and 13 887 participants (82.9%) were enrolled in final analysis after screening the inclusion and exclusion criteria and completion of main indicators. Each year the number of enrolled participants in May or June was 1 381 to 2 707 per month, higher than the number of enrolled participants in other months (233 to 569 per month). Participants from North China accounted for the largest proportion (29.3%). There were 13 316 men (95.9%) in enrolled participants and the mean age was (36±10) years. Most participants were 25-34 (38.8%) or 35-44 (30.8%) years old. In terms of smoking characteristics, there were 12 564 (90.5%) daily smokers. The starting age of smoking was 18 (15, 20) years old. 11 866 participants (85.4%) were tobacco dependent, mostly with degree of mild (76.4%) or moderate (20.2%). In terms of reasons for quitting, 9 315 participants′ (67.1%) reasons were to prevent disease, 6 742 participants (48.5%) were concerned about impact of smoking on family members, and 6 731 participants (48.5%) were under requested by families.Conclusion:mCessation program can effectively recruit smokers with intention to quit in short time, especially those who were male, young and tobacco dependent.