Objective:To investigate the mortality burden among permanent residents in Shenzhen from 2014 to 2021 and to provide scientific evidence for establishing precision disease prevention and control strategy.Methods:Based on the cause-of-death surveillance data, we described the distribution of mortality rate, cause-specific rankings, and years of life lost (YLL) for the total population and subgroups in Shenzhen from 2014 to 2021. The seventh national population census data was used as the standard population to calculate the standardized mortality rate. Joinpoint log-linear regression model was used to analyze the chronic trend of mortality burden.Results:From 2014 to 2021, 49 734 deaths among the permanent population were recorded in Shenzhen, with a 140.90/100 000 average crude mortality rate, standardized as 366.77/100 000. Both the crude mortality rate and standardized mortality rate showed fluctuating increases from 2014 to 2016 [annual percent change (APC)=20.72%, P=0.048, APC=28.59%, P=0.016] and fluctuating decreases from 2016 to 2021 (APC=-1.55%, P=0.317, APC=-1.89%, P=0.190). The mortality rates of the <20 and 20- age groups decreased over time, with a statistically significant decrease observed in the <20 age group [average annual percent change (AAPC)=-11.91%, P<0.001]. The mortality rates of the 40-, 60-, and ≥80 age groups increased over time, with an increase observed in the ≥80 age group from 2014 to 2016 (APC=45.25%, P=0.016) and a decrease from 2016 to 2021 (APC=-2.18%, P=0.280). There was no statistical significance in the mortality rate trend for the remaining age groups (all P>0.05). The top three causes of death among permanent residents in Shenzhen from 2014 to 2021 were consistently malignant tumors, cardiovascular and cerebrovascular diseases, and respiratory system diseases, with crude mortality rates of 49.59/100 000, 47.95/100 000, and 7.90/100 000 respectively in 2021. From 2014 to 2021, 1 003 287.43 YLL were observed, with YLL for the total population, males and females all showing an upward trend (all P<0.001). Conclusions:The mortality burden among the elderly permanent residents in Shenzhen displayed a continuously increasing trend from 2014 to 2021. Strengthening the need for substantial efforts and actions to improve the prevention and control of chronic non-communicable diseases.

OBJECTIVE To establish the fingerprints of Kangfuyan capsules and carry out chemical pattern recognition analysis，and simultaneously determine the contents of five components so as to promote the quality standard of the drug. METHODS High performance liquid chromatography （HPLC）fingerprints of 11 batches of Kangfuyan capsules （S1-S11）were established by Similarity Evaluation System of TCM Chromatographic Fingerprint （2012 edition）；identification and attribution analysis of chromatographic peaks were carried out by comparison with the chromatograms of the reference substance and the decoction pieces of single ingredient. SPSS 26.0 and SIMCA 14.1 software were used for cluster analysis and principal component analysis. HPLC method was used to determine the contents of matrine ，phellodendrine chloride ，rutin，forsythoside A and berberine hydrochloride. RESULTS There were 29 common peaks in the fingerprints for 11 batches of samples ，and the similarity was higher than 0.99. A total of 5 chromatographic peaks were identified ，which are matrine （peak 3），phellodendron chloride （peak 14），rutin （peak 20），forsythiaside A （peak 22） and berberine hydrochloride （peak 28）. The results of cluster analysis and principal component analysis showed that S 1-S9 were clustered into one category ，and S 10 and S 11 were clustered into another category. The contents of above 5 components were 29.320 5-60.144 3，0.621 6-1.076 6，1.025 9-2.830 5，2.899 3-6.212 7 and 4.425 1-8.581 6 mg/g， respectively. CONCLUSIONS The established fingerprint and content determination method are stable and reliable ，and can provide reference for the quality control of the preparation in combination with chemical pattern recognition analysis.