BACKGROUND: In China, stroke burden remains severe as it is a major cause of mortality and disability. Detailed analyses across different subtypes will help optimize intervention strategies, enhance resource allocation efficiency, and ultimately reduce the overall disease burden. METHODS: We conducted a descriptive analysis of the incidence, prevalence, mortality, disability-adjusted life years (DALYs), years of life lost (YLLs), and years lived with disability (YLDs) of stroke and its subtypes using data (1990-2021) from the Global Burden of Disease (GBD) database. A Joinpoint regression model was applied to quantitatively analyze the indicators and calculate the annual percentage change (APC) and average annual percentage change (AAPC). We applied the Bayesian age-period-cohort (BAPC) model to project trends for 2022-2040. RESULTS: Incidence of stroke increased by 100.64% from 1990 to 2021, with ischemic stroke (IS) exhibiting the largest increase (201.13%) among all the subtypes, and the incidence being consistently higher in males than in females. The YLL/YLD ratio for stroke and its subtypes has decreased, with the YLL/YLD ratio falling from 20.13 to 9.48 in 1990-2021, indicating an increase in non-fatal burden. After adjusting for age, the age-standardized incidence rates (ASIRs) of stroke and its subtypes declined, except for IS. The age-standardized mortality rate (ASMR) for subarachnoid hemorrhage (SAH) decreased significantly (APC: -15.31%; 2000-2004), with the largest reduction in the age-standardized DALY rate (ASDR) also occurring during this period (APC: -14.22%). Furthermore, BAPC projections (2022-2040) indicate that stroke ASIRs in males will slightly decline but increase in females. Meanwhile, the ASIR of IS is expected to continue to rise. Overall, the ASMR and ASDR are projected to decline. CONCLUSIONS Although China has made some progress in stroke prevention and control, several challenges remain. Controlling IS must be prioritized, especially due to the high stroke burden among males.

Objective To establish a method for simultaneous determination of 14 components in Cinnamomi Cortex;To comprehensively evaluate its quality by multivariate statistical analysis technology.Methods HPLC method was used to establish the relative correction factors(RCF)between protocatechuic acid and 13 other components of coumalic acid,coumarin,cinnamyl alcohol,cinnamic acid,2-methoxycinnamic acid,cinnamaldehyde,o-methoxycinnamaldehyde,vanillic,syringic acid,4-hydroxybenzoic acid,procyanidin B2,epicatechin and procyanidin C1 to be measured,and the content of each component was calculated.The QAMS method was validated using external standard method(ESM),and the comprehensive quality of Cinnamomi Cortex was evaluated using PCA,OPLS-DA and EW-TOPSIS methods.Results The methodological verification results of ESM were in accordance with the requirements;the RCF established with protocatechuic acid as the reference had good durability under different experimental conditions,and the difference in content of each component between ESM and QAMS was not significant(P>0.05);the results of multivariate statistical analysis showed that accumulative contribution rate of former 2 principle components was 90.312%.Cinnamaldehyde,2-methoxycinnamic acid,procyanidin B2 and 4-hydroxybenzoic acid had a significant impact on the quality of Cinnamomi Cortex.The results of EW-TOPSIS showed that the Pi value of 16 batches of Cinnamomi Cortex ranged from 0.147 2 to 0.768 1.The quality of Cinnamomi Cortex from different producing areas varied greatly,and the overall quality of Cinnamomi Cortex from Guangxi Province was the best,followed by that from Guangdong Province and Yunnan Province,and the quality of Cinnamomi Cortex from Fujian Province was relatively poor.Conclusion The established QAMS multi-component quantitative method combined with multivariate statistical analysis technology can be used for comprehensive quality evaluation of Cinnamomi Cortex.