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ORIGINAL RESEARCH article

Front. Neurol., 13 August 2025

Sec. Neuroepidemiology

Volume 16 - 2025 | https://doi.org/10.3389/fneur.2025.1622361

Comparing burden of ischemic stroke caused by high low-density lipoprotein cholesterol in global and China: trends and projections

  • 1The Third Affiliated Hospital of Yunnan University of Chinese Medicine, Kunming Municipal Hospital of Traditional Chinese Medicine, Kunming, Yunnan, China
  • 2Bishan Hospital of Chongqing Medical University, Chongqing, China
  • 3The Second Affiliated Hospital of Yunnan University of Traditional Chinese Medicine, Kunming, Yunnan, China
  • 4Haikou Orthopedic and Diabetes Hospital of Shanghai Sixth People's Hospital, Haikou, Hainan, China
  • 5Yunnan University of Chinese Medicine, Kunming, Yunnan, China

Background: Ischemic stroke (IS) remains a major global cause of death and disability, with elevated low-density lipoprotein cholesterol (LDL-C) identified as a key modifiable risk factor. This study evaluates the global and Chinese burden of IS attributable to high LDL-C from 1990 to 2021, and projects future trends through 2046.

Materials and methods: Data on IS mortality, disability-adjusted life years (DALYs), and age-standardized rates (ASRs) were sourced from the Global Burden of Disease (GBD) 2021 database. Analyses were stratified by age and sex. Temporal trends were assessed using Joinpoint regression, calculating the annual percentage change (APC) and the average annual percentage change (AAPC). Future burden was projected using the Nordpred model.

Results: In 2021, IS deaths due to high LDL-C reached 936,192 globally (an increase of 43.04%) and 300,053 in China (an increase of 161.86%), despite age-standardized mortality rate (ASMR) declining by 43.16% and 12.61%, respectively. DALYs increased by 44.55% globally and 126.94% in China, with smaller reductions in age-standardized DALY rate (ASDR). Mortality and DALYs increased with age and were higher in men. China's elderly (≥90 years) exhibited particularly high mortality (1,058.69/100,000) compared to the global ≥95 age group (482.32/100,000). AAPCs indicated more consistent declines globally than in China. Projections estimate IS deaths will reach 1.86 million globally and 630,000 in China by 2046, with DALYs rising to 36.8 million and 11.4 million, respectively. China's projected ASMR and ASDR will remain higher than global averages.

Conclusion: Despite declines in age-standardized rates, the absolute burden of IS attributable to high LDL-C continues to rise globally, driven by population aging and growth. China, in particular, faces a disproportionately higher burden compared to global trends, with slower progress in reducing these rates. Significant age- and sex-based disparities remain. These findings underscore the urgent need for targeted public health strategies to address the growing burden of IS, particularly in China, by focusing on effective LDL-C management.

1 Introduction

IS, also known as cerebral infarction, represents a common cerebrovascular disease primarily caused by thrombosis obstructing cerebral blood vessels, leading to ischemia, hypoxia, and subsequent necrosis of brain tissue (1, 2). It is the third leading cause of death globally, accounting for 10.70% of total mortality, and is also the fourth leading cause of DALYs (3). IS constitutes ~65.30% of all stroke cases, associated with high incidence, mortality, and disability rates, posing a significant public health challenge (4).

The GBD 2021 report indicates that the incidence of IS has significantly increased. From 1990 to 2021, the number of IS cases increased by 87.97%, the number of deaths rose by 55.00%, and DALYs increased by 52.37%. By 2021, there were 7.80 million cases, 3.59 million deaths, and 704 million DALYs (5). In China, stroke-related deaths account for more than a third of the global total, posing a major public health challenge. IS accounts for 86.80% of all stroke cases in China (6). In 2021, the death toll and DALYs from IS in China reached 1.18 million and 23.43 million, respectively, which are 2.75 and 2.36 times the levels recorded in 1990 (7). These findings demonstrate that IS remains the leading cause of DALYs in China. Despite improvements in the overall accessibility of healthcare, the continued aging of the population and other risk factors have resulted in a persistently high burden of stroke, creating substantial economic burdens on patients' families, healthcare systems, and society (8).

LDL-C is closely associated with the risk of IS. Studies have shown that reducing LDL-C levels can effectively decrease the incidence and recurrence of IS, particularly in high-risk populations (9). Among patients with IS, those with an LDL-C level target of <70 mg/dL have a significantly lower risk of subsequent cardiovascular events compared to those whose target range is between 90 mg/dL and 110 mg/dL (10). Despite widespread statin use in lipid-lowering therapy, some patients struggle to meet targets, necessitating additional medications like Ezetimibe or PCSK9 inhibitors to further reduce LDL-C levels (11). However, in certain high-risk patients, existing pharmacologic treatments are insufficient to lower LDL-C to the recommended levels, prompting exploration of new therapeutic strategies (12). Recent research indicates that the relationship between LDL-C levels and all-cause mortality after stroke follows a U-shaped curve, with both excessively low and high LDL-C levels in the acute phase of IS potentially increasing mortality risk (13). These findings indicate the need for treatment strategies that balance lipid-lowering efficacy with individualized risk profiles. Therefore, optimizing LDL-C control targets, especially in high-risk populations with a history of cardiovascular disease, remains a crucial pathway for preventing IS.

While LDL-C control is critical for the prevention of cardiovascular diseases, with the improvement of China's economic level and changes in dietary patterns, diets rich in high energy and fats have become more common. In addition, the decline in physical activity levels and increased life stress have contributed to a continuous rise in LDL-C levels (14). Recent evidence indicates a suboptimal achievement of LDL-C targets among patients with atherosclerotic cardiovascular disease (ASCVD) in China, with only 26.60% of high-risk individuals attaining recommended LDL-C levels, and an even lower attainment rate observed among those at very high risk (15). The 2021 GBD stroke analysis indicated that in East Asia, elevated high LDL-C ranks as the third most significant risk factor for IS, following high systolic blood pressure and air pollution from particulate matter (3). Research on the burden of stroke in China and its associated risk factors emphasizes that, beyond the shared risk factors for all stroke types (such as high systolic blood pressure, particulate matter pollution, and excessive sodium consumption), high LDL-C is identified as the most potent risk factor for IS (16).

Although previous studies (3, 1719) have explored the global and Chinese burden of IS attributable to high levels of LDL-C and its associated risk factors, long-term trend analyses of the IS burden in China due to high LDL-C, as well as comparisons with global trends, remain limited. Furthermore, there is a lack of research on predicting future trends. This study uses data from the GBD project to analyze and compare the burden of IS attributable to high LDL-C in China and globally from 1990 to 2021. The study aims to provide insights for developing health policies and targeted primary prevention strategies for IS.

2 Materials and methods

2.1 Study design and data sources

We obtained data from the GBD 2021 database (http://ghdx.healthdata.org/gbd-results-tool). GBD 2021 is the most comprehensive global dataset on disease burden currently available. It evaluates disease burden using updated epidemiological data and improved methodologies, providing detailed data on health losses caused by 371 diseases, injuries, and disabilities, as well as 88 risk factors across 204 countries and regions (20, 21). In this database, IS is classified under the fourth-level etiology, representing the most specific categorization. We extracted data on IS attributable to high LDL cholesterol worldwide and in China from 1990 to 2021, including mortality, and DALYs estimates are presented in absolute numbers and as ASR per 100,000 population [with 95% Uncertainty Interval (UI)], stratified by age, sex. ASR were calculated using the global age-standardized population developed for the GBD study. These data provide detailed, age- and sex-specific information, which is used to analyze the impact of high LDL cholesterol on the burden of IS and serve as the basis for projections of future trends. The study adheres to the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER) (22).

2.2 Definitions

This study focuses on IS as a disease and high LDL-C as a major metabolic risk factor. According to the GBD 2021 definition, high LDL-C refers to a situation where the level of LDL-C in the blood exceeds the theoretical minimum risk exposure value of 1.30 mmol/L (50 mg/dL) (23). IS, as defined by WHO, is a neurological dysfunction caused by focal cerebral, spinal, or retinal infarction (24).

2.3 Statistical analysis

2.3.1 Descriptive analysis

We performed descriptive analyses on IS-related indicators, including mortality rate and DALYs, attributable to high LDL-C from 1990 to 2021, both Globally and in China. It examines the distribution of these indicators across different genders and age groups. Additionally, the absolute values and ASR of IS mortality and DALYs were calculated, followed by an analysis and comparison of the trends in ASMR and ASDR between the two regions across different time periods. Potential regional and gender differences were also identified.

2.3.2 Joinpoint regression analysis

Joinpoint regression analysis, a statistical method employing a log-linear regression framework, is primarily used to evaluate indicators' trend changes over time. In this study, we performed using the Joinpoint Regression Program (Version 5.3.0.0, National Cancer Institute) with log-linear model with a 95% confidence interval, allowing up to five potential Joinpoints. Joinpoints were identified using a grid search algorithm, and the optimal number of Joinpoints was determined through Monte Carlo permutation tests to detect significant trend changes (25). This model was used to compare the temporal trends of IS burden due to high LDL-C in China and globally, and to identify significant change points in these trends. APC and AAPC were calculated to analyze the trends and significance of the ASMR and ASDR. APC measures the percentage change in a variable over a specific time period, while AAPC reflects the average annual change of the variable over the entire study period. Unlike APC, which focuses on short-term fluctuations, AAPC emphasizes the overall trend over time, thereby offering more reliable guidance for long-term trend assessment. Statistical significance was assessed by comparing AAPC to zero, with a P-value of < 0.05 indicating statistical significance (25, 26).

2.3.3 Predictive analysis

Based on historical data from 1990 to 2021, the Nordpred model was used to project the global and Chinese trends of IS mortality and DALYs attributable to high LDL-C from 2022 to 2046. The model operated under the default Poisson age-period-cohort framework with 5-year age groups and a power-5 link function. Key assumptions included: (i) incidence or mortality rates are proportional to age structure and population size; (ii) linear temporal trends within each 5-year period; and (iii) population projections aligned with the UN World Population Prospects (27). As a widely utilized tool for forecasting disease burden, the Nordpred model integrates temporal trends and demographic shifts to produce reasonable future estimates (28, 29). All analyses and visualizations were performed using R software (version 4.4.1, R Foundation for Statistical Computing, Vienna, Austria).

3 Results

3.1 Analysis of IS deaths and DALYs attributable to high LDL-C in the world and China

In 1990, the global number of deaths due to IS attributable to high LDL-C was 654,503 (95% UI: 210,161–1,103,893), with an ASMR of 20.03 (95% UI: 6.28–34.56) per 100,000. By 2021, these figures had increased to 936,192 (95% UI: 299,535–1,614,294) cases, representing a 43.04% rise in number and a decrease of 43.16% in the ASMR per 100,000, which was 11.38 (95% UI: 3.62–19.65). Additionally, the global DALYs due to high LDL-C-related IS in 1990 stood at 14,524,190 (95% UI: 5,187,367–23,068,198), with an ASDR of 390.89 (95% UI: 133.81–632.33) per 100,000. In 2021, DALYs increased to 20,977,424 (95% UI: 7,409,044–34,664,410), with a percentage change of 44.55% and an ASDR of 246.42 (95% UI: 86.47–406.28), reflecting a 36.96% decline in the rate per 100,000 (Table 1).

Table 1
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Table 1. Comparison of global and China deaths and DALYs due to high LDL-C-related IS in 1990 and 2021.

In China, the number of deaths attributed to high LDL-C-related IS was 114,584 (95% UI: 37,396–197,386) in 1990, with an ASMR of 18.23 (95% UI: 5.52–33.43) per 100,000. By 2021, the number of deaths rose to 300,053 (95% UI: 92,516–527,457), marking a 161.86% increase. The ASMR per 100,000 decreased by 12.61% to 15.93 (95% UI: 4.83–28.08). Similarly, for DALYs, China's 1990 figures were 3,018,680 (95% UI: 10,650,097–49,388,707), with an ASDR of 385.65 (95% UI: 129.83–647.51) per 100,000. By 2021, the DALYs attributed to high LDL-C-related IS increased to 6,850,566 (95% UI: 23,132,104–114,181,671), which represents a 126.94% increase. The ASDR per 100,000 in 2021 was 335.59 (95% UI: 112.75–566.25), a 12.98% decrease compared to 1990 (Table 1).

3.2 Trend analysis of the burden of IS attributable to high LDL-C in global and China from 1990 to 2021

In 2021, the global number of deaths due to IS caused by high LDL-C was 936,192 (95% UI: 299,535–1,614,294), an increase of about 280,000 compared to 654,503 (95% UI: 210,161–1,103,893) in 1990. The ASMR decreased from 20.03 (95% UI: 6.28–34.56) per 100,000 to 11.38 (95% UI: 3.62–19.65) per 100,000, showing a 43.16% reduction (Figure 1A). In China, the number of deaths due to IS caused by high LDL-C was 300,053 (95% UI: 92,516–527,457) in 2021, an increase of nearly 190,000 deaths compared to 114,584 (95% UI: 37,396–197,386) deaths in 1990. The ASMR increased from 18.23 (95% UI: 5.52–33.43) per 100,000 in 1990, peaked in 2004, and then gradually declined to 15.93 (95% UI: 4.83–28.08) per 100,000 in 2021, marking a decrease of ~12.61% (Figure 1B).

Figure 1
(A) Bar chart showing the number of deaths from 1990 to 2020 alongside a line graph of ASMR per 100,000. Deaths increase from approximately 500,000 to 1,000,000, while ASMR decreases from 20 to 10. (B) Bar and line chart depicting the number of deaths and ASMR from 1990 to 2021. Deaths, shown as blue bars, increase steadily, peaking above 300,000 by 2019. ASMR, indicated by a line, fluctuates, peaking around 2005, then gradually declines. (C) Bar chart with a line graph overlay displaying the trend of Disability-Adjusted Life Years (DALYs) from 1990 to 2021. Y-axis on the left shows DALYs numbers, while the right y-axis shows Age-Standardized Death Rate (ASDR) per 100,000. DALYs show a general increase over the years, while ASDR shows a decreasing trend. (D) Bar and line graph showing DALYs Number and ASDR per 100,000 from 1990 to 2021. The bars represent DALYs, steadily increasing over the years with a peak around 2018. The line indicates ASDR, peaking around 2003, then generally declining.

Figure 1. Changes in the disease burden of IS caused by high LDL-C in global and China from 1990 to 2021. (A) Trends in the number of deaths and ASMR in global from IS due to high LDL-C. (B) Trends in the number of deaths and ASMR in China from IS due to high LDL-C. (C) Trends in the DALYs and ASDR in global from IS due to high LDL-C. (D) Trends in the DALYs and ASDR in China from IS due to high LDL-C.

Globally, the DALYs for IS due to high LDL-C increased from 14,512,490 (95% UI: 5,187,367–23,068,198) years in 1990 to 20,977,424 (95% UI: 7,409,044–34,664,410) years in 2021, representing a 44.55% increase. However, the ASDR declined from 390.89 (95% UI: 133.81–632.33) per 100,000 in 1990 to 246.42 (95% UI: 86.47–406.28) per 100,000 in 2021 (Figure 1C). In China, DALYs for IS due to high LDL-C increased from 3,018,680 (95% UI: 1,065,097–4,938,870) years in 1990 to 6,850,566 (95% UI: 2,313,204–11,418,167) years in 2021, representing a 126.94% increase. However, the ASDR per 100,000 population showed an increasing trend from 385.65 (95% UI: 129.83–647.51) in 1990, peaking in 2004, and subsequently declining to 335.59 (95% UI: 112.75–566.25) in 2021, marking a reduction of 12.98% (Figure 1D).

3.3 Burden of IS attributable to high LDL-C in the world and China in 2021 by age and gender

In 2021, the global mortality rate from IS attributable to high LDL-C exhibited clear age- and gender-specific trends. For males, the mortality rate was close to zero in the 25–29 years age group, while the rate was highest in the ≥95 years age group, reaching 482.32 (95% UI: 125.77–889.30) per 100,000. For females, the mortality rate also increased with age, but remained lower than that of males. Notably, in the ≥95 years age group, the female mortality rate surpassed that of males, reaching 646.67 (95% UI: 178.90–1,179.52) per 100,000.

In China, the mortality rate from IS attributable to high LDL-C in 2021 followed a similar trend but was higher than the global average. For males, the mortality rate gradually increased with age, with the highest rate observed in the 90–94 age group, 1,058.69 (95% UI: 268.82–2,019.77) per 100,000, notably exceeding that of the ≥95 age group, 881.59 (95% UI: 234.24–1,633.92) per 100,000. For females, the mortality rate also rose with age, mirroring the trend observed in males. Overall, the mortality rate for females was lower than for males; however, the gap gradually narrowed with increasing age. In the ≥95 years age group, the female mortality rate was the highest, reaching 699.15 (95% UI: 193.076–1,335.03) per 100,000. These results demonstrate, with increasing age, the mortality burden of IS in China is higher than the global average, particularly in the elderly population (Figure 2A).

Figure 2
(A) Two population pyramids compare global and Chinese death rates per one hundred thousand by age and gender. Both graphs show a higher male death rate in older age groups, with the trend more pronounced globally. (B) Two population pyramids depict Disability-Adjusted Life Years (DALYs) rates by age group and gender. The left graph shows global data, with wider bars at older ages, indicating higher DALYs among the elderly. The right graph represents China, showing similar trends. Female and male rates are separated on opposite sides.

Figure 2. Age and sex-specific distribution of mortality rates and DALY rates due to high LDL-C-related IS in 2021 Globally and in China. (A) Mortality rates globally and in China. (B) DALY rates globally and in China.

In 2021, the DALY rate for IS attributable to high LDL-C also exhibited distinct age- and sex-specific patterns. For males, the DALY rate increased with age, with the highest rate observed in the 90–94 age group, 4,318.47 (95% UI: 1,098.67–7,974.55) per 100,000, which exceeded that of the ≥95 age group, 4,255.08 (95% UI: 1,093.64–7,801.04) per 100,000. For females, the DALY rate also rose with age, with the highest rate in the ≥95 age group, 5,599.26 (95% UI: 1,527.43–10,248.33) per 100,000. Except for the 25–34 and ≥95 age groups, males consistently exhibited higher DALY rates than females.

In China, the DALY rate for IS due to high LDL-C in 2021 also showed a marked age- and sex-specific trend. For males, the DALY rate increased with age, with the highest rate observed in the 90–94 age group, 9,445.25 (95% UI: 2,399.05–17,930.53) per 100,000, surpassing that of the ≥95 age group, 7,459.38 (95% UI: 1,976.82–13,834.08) per 100,000. For females, the DALY rate also increased with age, with the highest rate in the ≥95 age group, 6,196.06 (95% UI: 1,681.77–11,775.60) per 100,000. Although the rate for females was lower than that for males in this age group, it was still significantly higher than in other age groups (Figure 2B).

3.4 Jointpoint regression analysis of the burden of IS attributable to high LDL-C in the world and China

Figure 3 and Supplementary Table 1 present the Joinpoint regression analysis results of ASMR and ASDR for IS attributable to high LDL-C from 1990 to 2021. This analysis reveals distinct phases of change in the trends of ASMR and ASDR. Globally, the ASMR showed a consistent downward trend, with the most significant decline occurring between 2003 and 2007, where the APC reached −3.50%. After that, the decline continued, but at a slower pace. During this period, the overall AAPC of ASMR was −1.80%. In contrast, the ASDR attributable to IS also exhibited a similar declining trend. The steepest decline occurred between 2004 and 2007, with an APC of −3.48%. From 1990 to 2021, the AAPC in global ASDR was similarly negative, at −1.47%.

Figure 3
(A) Two line graphs show age-standardized death rates from ischemic stroke caused by high LDL cholesterol from 1990 to 2021. The left graph represents global data with a downward trend and several joinpoints indicating rate changes, notably in 1995, 1998, 2003, 2007, and 2013. The right graph shows data for China with significant fluctuations and joinpoints in 1998, 2004, 2007, 2010, and 2015. Both graphs include observed points and changes in annual percentage, annotated with different colors for distinct periods. (B) Two line graphs compare age-standardized rates of ischemic stroke due to high LDL cholesterol globally and in China from 1990 to 2021. Both graphs show significant decreases in rates with labeled joinpoints indicating changes in trends and periods of annual percentage change (APC). The global graph shows a consistent decline, while the China graph has a peak around 2004 before declining again. Each graph includes specific APC values for different time intervals.

Figure 3. Joinpoint regression analysis of ASMR and ASDR for IS due to high LDL-C Globally and in China (1990–2021). (A) Joinpoint regression analysis of ASMR Globally and in China. (B) Joinpoint regression analysis of ASDR Globally and in China.

In China, the trends of ASMR and ASDR attributable to high LDL-C for IS exhibited greater variability across different time periods. From 1998 to 2004, both the ASMR and ASDR rates significantly increased, with APC values of 2.90% and 2.09%, respectively. Subsequently, from 2004 to 2007, there was a sharp decline, with APCs of −4.58% and −3.64%, respectively. From 2007 to 2010, the rates of change slowed again, with APC values of 0.39% and 0.23%. After 2010, there was a continuous decline at varying rates. From 1990 to 2021, the overall AAPC for ASMR in China was −0.42%, and similarly, the AAPC for ASDR was −0.46%.

3.5 ASMR and ASDR attributable to high LDL-C for IS in 2021

Figure 4 illustrates the global distribution of mortality and DALYs attributable to high LDL-C. Figure 4A highlights that the burden of mortality was particularly severe in African countries. In countries such as Ethiopia, Kenya, Madagascar, Mauritius, and Malawi, the mortality rates exceed 30 per 100,000 population, with Malawi having the highest rate at 59.37 per 100,000 (95% UI: 4.14–26.59). In China, the ASMR was 18.99 per 100,000 (95% UI: 6.17–34.00).

Figure 4
(A) World map illustrating data intensity or density by region, with a color gradient from blue to red. Highlighted regions include the Caribbean and Central America, Persian Gulf, Balkan Peninsula, Southeast Asia, West Africa, and Eastern Mediterranean, with Northern Europe also depicted. Inset maps provide regional details. (B) World map with regions colored in shades from blue to red, representing a scale from 250 to 750, likely indicating data intensity or density. Separate close-up maps for Caribbean and Central America, Persian Gulf, Balkan Peninsula, Southeast Asia, West Africa, Eastern Mediterranean, and Northern Europe are shown below, highlighting these areas in more detail.

Figure 4. Age-standardized mortality (ASMR) and DALY (ASDR) rates due to IS caused by high LDL-C Globally in 2021. (A) ASMR of IS attributable to high LDL-C Globally in 2021. (B) ASDR of IS attributable to high LDL-C Globally in 2021.

Figure 4B presents the global distribution of ASDR attributable to high LDL-C. The burden was particularly pronounced in Northeastern and Southeastern Europe as well as parts of the Western Pacific region. In Europe, Lithuania, the Republic of San Marino, and the former Yugoslav Republic of Macedonia reported rates exceeding 745 per 100,000 population, with Lithuania recording the highest rate at 1,167.16 per 100,000 (95% UI: 127.10–559.27). In the Northern Mariana Islands, part of the Western Pacific, the ASDR was 745.99 per 100,000 (95% UI: 284.45–1,565.26). In China, the ASDR was 37.48 per 100,000 (95% UI: 69.17–331.74).

3.6 Predictions of the burden of IS attributable to high LDL-C in China and globally

Based on Figure 5A, it is predicted that by 2046, the global number of deaths due to IS caused by high LDL-C will reach 1,863,524, with ASMR of 10.82 per 100,000 people. Among them, the number of male deaths is expected to be 889,875, with an ASMR of 11.97; the number of female deaths is expected to be 973,648, with an ASMR of 9.76. In China, the number of deaths from IS caused by high LDL-C is predicted to reach 629,880 by 2046, with the ASMR slightly decreasing to 13.62 per 100,000 people. The number of male deaths is expected to be 327,183, with an ASMR of 16.70; for females, the number is expected to be 302,698, with an ASMR of 11.30.

Figure 5
(A) Three bar and line graphs show global and Chinese death numbers from 1990 to 2050, divided by gender: both, male, and female. Purple bars represent global data; yellow, China. Lines depict observed and predicted age-standardized mortality rates. Global rates generally decrease, while China's fluctuate before stabilizing. (B) Three line and bar graphs display Disability-Adjusted Life Years (DALYs) and Age-Standardized Disability Rates (ASDR) from 1990 to 2050 for both sexes, males, and females. The graphs compare global and China data, with observed and predicted lines showing trends. Global data is represented in purple and China in yellow. Bars indicate DALYs numbers, while lines depict ASDR, with a vertical dashed line indicating the transition from observed to predicted data. Overall, a rise in DALYs is projected for the future.

Figure 5. Projected trends in deaths and DALYs due to high LDL-C-related IS from 2022 to 2046 globally and in China. (A) Predictions of total, male, and female deaths and ASMR in global and China. (B) Predictions of total, male, and female DALYs and ASDR in global and China.

As shown in Figure 5B, the global number of DALYs due to IS caused by high LDL-C is predicted to reach 36,833,443 by 2046, with an ASDR of 241.50 per 100,000 people. The DALYs for males are expected to be 18,731,942, with an ASDR of 268.08; for females, the DALYs are expected to be 18,101,501, with an ASDR of 216.50. In China, the DALYs in 2046 are expected to reach 11,376,410, with an ASDR of 299.34. For males, the DALYs are expected to be 6,046,436, with an ASDR of 349.15; for females, the DALYs are expected to be 5,329,974, with an ASDR of 256.46.

4 Discussion

Between 1990 and 2021, despite increases in both deaths and DALYs due to high LDL-C levels contributing to IS both globally and in China, ASMR and ASDR have overall decreased. This suggests that the rising burden is primarily driven by population aging and growth (17). Compared to global trends, China has experienced a more pronounced increase in absolute deaths and DALYs, indicating a heavier disease burden. However, the decrease in ASMR and ASDR in China has been smaller than the global average, reflecting greater challenges in mitigating the impact of high LDL-C on IS. This pattern mirrors global cardiovascular disease trends (30). From 1990 to 2021, China's population grew from 1.16 billion to 1.41 billion, with the elderly population (aged 65 and older) surging from 54 million to 191 million. Furthermore, the average life expectancy for Chinese citizens rose from 68.60 years in 1990 to 77.30 years in 2019.

In 2021, both global and Chinese mortality and DALY rates for IS due to high LDL-C exhibited age- and sex-specific patterns. Research indicates that both mortality and DALY rates for IS increase with age, with men generally experiencing higher rates than women. This finding aligns with previous studies (19). In China, male mortality and DALY rates remain higher than those of females up to the age of 84, after which a reversal in the sex difference is observed (19). Additionally, another study highlighted that LDL-C levels rise with age, with distinct trends observed between men and women (31). Collectively, these studies suggest that men face a higher risk of cardiovascular diseases, possibly due to biological, behavioral, and lifestyle factors (32). As global population aging accelerates and lifestyles continue to evolve, the burden of high LDL-C has shown diverse trends across regions and populations (17), underscoring the need for gender-specific prevention and control strategies.

Joint regression analysis further supports the observed trends. Globally, the ASMR for IS attributable to high LDL-C exhibited a consistent decline from 1990 to 2021, with the most significant drop occurring between 2003 and 2007. This trend may be associated with the widespread implementation of lipid-lowering treatment strategies globally during that time (17). In contrast, China's trends were more variable, with significant increases in ASMR and ASDR from 1998 to 2004, a period coinciding with rapid dietary shifts toward animal fat consumption (33) and urban-rural disparities in acute stroke care access (34). The subsequent sharp decline between 2004 and 2007 (30) likely reflects targeted public health interventions, including the rollout of basic lipid screening in urban centers (35). Afterward, the rate of decline slowed, mirroring China's slower adoption of intensive lipid management compared to high-income countries (36). This lag may be attributed to persistent gaps in physician awareness of LDL-C targets (only 38% adherence to guidelines) and urbanization-driven lifestyle risks (e.g., reduced physical activity and processed food intake) (37).

Our projections indicate that while the global ASMR is expected to stabilize by 2046, the total number of deaths will rise, particularly among women. This emphasizes the ongoing need to manage high LDL-C levels and underscores the importance of gender-specific interventions. In China, the ASMR is projected to stay above the global average, signaling a greater burden and the need for targeted public health initiatives and clinical interventions. Additionally, the projected DALYs underscore the long-term health impact of high LDL-C, with men facing higher DALYs, highlighting the need for sex-specific strategies. These projections stress the urgent need for effective cholesterol management policies and population-level interventions.

Our study extends previous research by offering broader temporal and geographic coverage. Compared to earlier research (19), it spans over three decades (1990–2021), incorporates global and national trends, and applies predictive modeling through 2046. It provides a forward-looking perspective on the prevention and control of IS both globally and within China. This study also offers a detailed analysis of gender and age group disparities, showing that the burden of IS in China's elderly population exceeds the global average, with significant gender differences. These insights are crucial for designing targeted prevention strategies. Unlike the study by Zhang et al. (18), this study not only examines trends on a global scale but also provides an in-depth analysis of data specific to China. It uncovers the unique challenges China faces in addressing IS due to high LDL-C, such as the slower decline in ASMR and ASDR compared to the global average. This suggests that China is encountering greater challenges in reducing the impact of high LDL-C on IS and therefore requires more focused and targeted preventive measures.

However, several limitations should be acknowledged. Firstly, the GBD 2021 data do not classify IS subtypes according to specific systems, such as the TOAST or CISS classification, limiting the ability to investigate the underlying causes of IS (5). Secondly, the focus on high LDL-C as a singular risk factor for IS may overlook the complex interactions with other factors, such as hypertension, diabetes, and smoking. Notably, potential synergistic effects among high LDL-C, hypertension, and diabetes may amplify IS risk beyond individual contributions, possibly underestimating the value of integrated prevention strategies (38). The study mainly aggregates data at the national level, potentially masking regional disparities (4). For example, China's diverse healthcare infrastructure and socioeconomic conditions across provinces may lead to substantial variations in IS burden. Similarly, global variations in healthcare systems, public health policies, and cultural contexts may influence the geographic distribution of disease burden (39). Thirdly, while the Nordpred model provides robust long-term forecasting based on historical trends, its projections do not account for potential impacts of emerging therapeutic modalities (particularly novel lipid-lowering agents like PCSK9 inhibitors, bempedoic acid, and siRNA-based therapies) or evolving health policies (such as expanded LDL-C screening programs or combination therapy guidelines) (40). Therefore, the predictive results should be interpreted with caution, as they might not fully reflect real-time dynamics. Furthermore, our use of the GBD LDL-C threshold (>1.30 mmol/L), while enabling global comparisons, differs from China's 2023 guidelines (<1.8 mmol/L for high-risk patients) (41). This may underestimate burden in Chinese high-risk populations, as some GBD-classified “moderate risk” individuals would qualify for intensive therapy locally (42). While valuable for international standardization, these results should be interpreted alongside local guidelines for clinical application.

Future studies should clarify how population growth, aging, and evolving epidemiological patterns contribute to the IS burden associated with high LDL-C. Robust decomposition analyses are needed to quantify the individual and combined effects of these factors (43). Additionally, incorporating individual-level data—such as lifestyle and genetic variables—will improve the accuracy of burden assessments (44). Exploring the interactions between LDL-C and other metabolic risk factors, including hypertension and diabetes, will also provide deeper insight into disease etiology (45). Regional analyses with finer granularity are essential to identify geographic disparities and support targeted, equitable interventions. Finally, integrating diverse predictive models that account for sociocultural and policy-related variables can enhance the relevance and precision of future projections.

5 Conclusion

This study provides a comprehensive comparative analysis of the global and Chinese burden of IS attributable to elevated LDL-C from 1990 to 2021, and offers projections of future trends. Despite a rise in the absolute numbers of deaths and DALYs, primarily driven by population growth and aging, the ASMR and ASDR have generally shown a declining trend. In comparison to the global average, China faces more significant challenges in reducing the IS burden attributed to high LDL-C levels. This burden is particularly pronounced among older adults and men, highlighting the urgent need for targeted interventions. Projections suggest a continued rise in the burden of IS, underscoring the need for more effective, gender- and age-specific prevention and intervention strategies to address this growing public health challenge globally and in China.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding authors.

Ethics statement

Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent from the patients/participants or patients/participants' legal guardian/next of kin was not required to participate in this study in accordance with the national legislation and the institutional requirements.

Author contributions

JZ: Validation, Formal analysis, Writing – review & editing, Writing – original draft. ML: Investigation, Data curation, Writing – original draft, Methodology. JYu: Writing – original draft, Conceptualization. LZ: Writing – original draft, Resources. QX: Writing – original draft, Investigation, Methodology. JYa: Software, Writing – original draft. GL: Project administration, Validation, Writing – original draft. EC: Writing – review & editing, Funding acquisition, Supervision, Data curation.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by the Yunnan Provincial projects: “Research on Early Rehabilitation and an Integrated Traditional Chinese and Western Medicine Nursing Intervention Model for Patients with Ischemic Stroke” (No. 202101AZ070001-221), “Evidence-based Nursing Practice for Motor Dysfunction in Patients with Qi Deficiency and Blood Stasis Type of Ischemic Stroke” (No. 202201AH070163), and Yunnan Provincial Graduate Quality Course Program-Evidence-Based Nursing (No. 30670103831).

Acknowledgments

The authors would like to express their deep appreciation to the institutions and researchers who provided access to the public database that supported this study.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Gen AI was used in the creation of this manuscript.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fneur.2025.1622361/full#supplementary-material

Abbreviations

IS, Ischemic stroke; GBD, Global Burden of Disease; LDL-C, low-density lipoprotein cholesterol; DALYs, disability-adjusted life years; ASR, age-standardized rate(general term); ASMR, age-standardized mortality rates; ASDR, age-standardized disability-adjusted life year; AAPC, annual percent change; APC, annual percentage change; UI, uncertainty intervals.

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Keywords: ischemic stroke, high low-density lipoprotein cholesterol, disease burden, risk factors, prediction

Citation: Zhang J, Liu M, Yue J, Zuo L, Xu Q, Yang J, Liu G and Cai E (2025) Comparing burden of ischemic stroke caused by high low-density lipoprotein cholesterol in global and China: trends and projections. Front. Neurol. 16:1622361. doi: 10.3389/fneur.2025.1622361

Received: 06 May 2025; Accepted: 28 July 2025;
Published: 13 August 2025.

Edited by:

Zilong Hao, Sichuan University, China

Reviewed by:

Yingxin Yu, Chinese PLA General Hospital, China
Arjun Ganga, WellStar Kennestone Hospital, United States

Copyright © 2025 Zhang, Liu, Yue, Zuo, Xu, Yang, Liu and Cai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Gao Liu, NTY1Nzk0ODAwQHFxLmNvbQ==; Enli Cai, eTE1OTI1MTEyOTEzQDE2My5jb20=

These authors have contributed equally to this work

ORCID: Jiali Zhang orcid.org/0009-0006-5632-8090
Enli Cai orcid.org/0000-0002-9916-1829

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.