A Decade of Transformation in Stroke Care in South Korea (2013–2023): Increasing Ambulance Use but Persistent Prehospital Delay and Reversing Mortality Trends

Article information

J Stroke. 2026;.jos.2026.00360
Publication date (electronic) : 2026 June 30
doi : https://doi.org/10.5853/jos.2026.00360
1Department of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
2Division of Intensive Care Medicine, Department of Neurosurgery and Neurology, Seoul National University Bundang Hospital, Seongnam, Korea
3Department of Neurology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Korea
4Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
5Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University, Uijeongbu, Korea
6Department of Neurology, Soonchunhyang University Hospital, Soonchunhyang University College of Medicine, Seoul, Korea
7Department of Neurology, Eulji University Hospital, Daejeon, Korea
8Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
9Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
10Healthcare Review and Assessment Committee, Health Insurance Review and Assessment Service, Wonju, Korea
11Quality Assessment Administration Department, Health Insurance Review and Assessment Service, Wonju, Korea
12Quality Assessment Management Department, Health Insurance Review and Assessment Service, Wonju, Korea
Correspondence: Hee-Joon Bae Department of Neurology, Seoul National University College of Medicine, Cerebrovascular Center, Seoul National University Bundang Hospital, 82 Gumi-ro 173 beon-gil, Bundang-gu, Seongnam 13620, Korea Tel: +82-31-787-7467 E-mail: braindoc@snu.ac.kr
Received 2026 January 15; Revised 2026 April 6; Accepted 2026 April 27.

Abstract

Background and Purpose

While stroke management has evolved rapidly, comprehensive nationwide evidence covering all stroke subtypes remains limited. We evaluated 10-year secular trends in acute stroke care and outcomes in South Korea using a mandatory national quality audit dataset.

Methods

Data from the Acute Stroke Quality Assessment Program, covering nearly all general and tertiary hospitals in Korea, were linked with national insurance claims and mortality records. We analyzed 136,191 episodes of ischemic stroke (IS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH) from 2013 to 2023.

Results

Over the decade, mean patient age increased (67.1 to 69.6 years), with the ≥85-year population doubling (7.2% to 13.4%). An unexplained discrepancy between ambulance use and arrival time emerged: ambulance use rose (55.4% to 61.8%), but median onset-to-arrival time remained stagnant (4.0 hours), with only 36.6% of IS patients arriving within 3 hours. While intravenous thrombolysis utilization remained stable at approximately 6.0% after 2014, endovascular thrombectomy rates more than doubled (5.3% to 11.6%), reaching 41.1% in severe cases. Statin (92.1%), non-vitamin K antagonist oral anticoagulant (78.4%), and dual antiplatelet therapy (67.2%) use increased markedly. In SAH, treatment shifted from clipping (36.7% to 12.2%) to coiling (36.0% to 63.4%). Notably, adjusted mortality exhibited a non-linear U-shaped trend, reaching a nadir in 2018 followed by an uptick after 2020.

Conclusions

Despite substantial improvements in inpatient stroke care, the discrepancy between ambulance use and arrival time highlights structural challenges. Furthermore, the U-shaped mortality reversal underscores the vulnerability of healthcare resilience in a super-aging society, particularly under the strain of the COVID-19 pandemic.

Introduction

Acute stroke care has evolved significantly over the past decade, driven by advancements in intravenous thrombolysis (IVT) [1] and endovascular thrombectomy (EVT) [2,3] for ischemic stroke (IS), comprehensive bundle care [4,5] and surgical management [6] for intracerebral hemorrhage (ICH), and coil embolization [7] for ruptured aneurysmal subarachnoid hemorrhage (SAH). While multiple randomized clinical trials have established the efficacy of these interventions, there is a pressing need for detailed analyses of real-world secular trends through nationwide reports to evaluate the actual impact and sustainability of these advancements.

However, existing nationwide studies often face methodological constraints that limit their clinical utility. Registry-based reports frequently rely on voluntary participation, which may lead to selection bias by excluding smaller or lower-performing facilities. Conversely, analyses based solely on administrative data often lack the clinical depth necessary to capture nuanced management metrics beyond mortality or basic hospital volume [8,9]. Furthermore, most existing nationwide studies focus exclusively on IS, providing a fragmented view of the overall stroke care landscape that neglects the distinct management shifts in ICH and SAH [10,11].

South Korea presents a unique clinical landscape due to its exceptionally rapid transition into a super-aging society, which places unprecedented pressure on the national stroke care system [12]. To address the limitations of prior research, this study utilizes the Acute Stroke Quality Assessment Program (ASQAP), a mandatory nationwide audit program evaluating inpatient care for nearly all acute stroke cases treated in general and tertiary hospitals across the country [13]. By integrating these mandatory clinical records with national insurance claims and the gold-standard resident registration system for mortality outcomes, we have established a robust longitudinal database with unparalleled representativeness and clinical granularity.

In this study, we sought to determine whether a decade (2013–2023) of systemic and clinical advancements has translated into sustained improvements in stroke outcomes across the full spectrum of stroke subtypes, including IS, ICH, and SAH. By evaluating the longitudinal evolution of management patterns—from prehospital metrics to advanced pharmacological and surgical interventions—this research aims to identify persistent challenges and assess the resilience of the national stroke care system in an era of rapid demographic change.

Methods

Study subjects

The ASQAP is a mandatory, nationwide program launched by the Health Insurance Review and Assessment Service (HIRA) to evaluate and improve the quality of inpatient stroke care in South Korea [13]. This study analyzed six consecutive assessment rounds (5th to 10th), covering nearly all general and tertiary hospitals across the country from 2013 to 2023. To ensure high-quality care and data reliability, we included patients who: (1) were admitted via the emergency department within 7 days of symptom onset; (2) had a primary discharge diagnosis of IS (International Classification of Diseases, 10th Revision: I63), ICH (I61), or SAH (I60); and (3) were treated at facilities reporting more than 10 acute cases per audit period. To represent a more stable and comprehensive stroke population, the audit duration was extended from 3 months in the early rounds to 6 months in later rounds.

Data collection and linkage

A robust integrated database was established by linking three national sources: ASQAP clinical records, national insurance claims, and the electronic resident registration system. The ASQAP provided granular clinical data, including ambulance use, last known normal time, first abnormal time, arrival times, hospital capacity, stroke severity (National Institutes of Health Stroke Scale [NIHSS] for IS, Glasgow Coma Scale [GCS] for ICH/SAH), IVT use, length of stay, modified Rankin Scale scores at discharge, and discharge destination.

To precisely track management patterns, these clinical records were integrated with national insurance claims data. EVT was captured within a 72-hour window from admission, while other surgical and medical interventions—including aneurysm coiling/clipping, decompressive surgery, and carotid procedures—were tracked over a 30-day period using specific claims codes. Longitudinal mortality outcomes (1-month, 3-month, and 1-year) were ascertained through the gold-standard resident registration system, ensuring virtually no loss to follow-up for the entire cohort.

Statistical analysis

Descriptive statistics were used to summarize baseline characteristics and clinical indicators. Categorical variables were expressed as frequencies and percentages, while continuous variables were presented as mean±standard deviation or median with interquartile range, as appropriate. To evaluate temporal changes over the six assessment rounds (from 2013 to 2023), P-value for trend were calculated using the Cochran-Armitage test for binary variables, the Cochran-Mantel-Haenszel test for categorical variables with more than two levels, linear regression to evaluate trends in mean values, and the Jonckheere-Terpstra test to assess trends in median values for continuous variables. For multilevel categorical variables, each category was dummy coded and analyzed using the Cochran-Armitage test.

We analyzed crude and adjusted mortality rates at 1 month, 3 months, and 1 year. Adjusted mortality rates were estimated using multivariable logistic regression models, controlling for potential confounders including age, sex, stroke severity (NIHSS for IS and GCS for hemorrhagic stroke), and Charlson Comorbidity Index (CCI) score [14]. For these adjusted models, missing stroke severity scores were imputed based on the established clinical relationship between NIHSS and GCS scores to maintain statistical power [15], whereas cases with other missing values were excluded from the respective analyses.

Furthermore, to identify potential non-linear associations between the calendar year and mortality, we employed restricted cubic spline (RCS) modeling with three knots placed at the 10th, 50th, and 90th percentiles. This approach allowed us to detect significant shifts in mortality trends, particularly focusing on the period following the COVID-19 pandemic (after 2020). All statistical analyses were conducted using SAS software version 9.4 (SAS Institute Inc., Cary, NC, USA). A two-tailed P-value <0.05 was considered statistically significant.

Ethics statement

The study protocol was reviewed and approved by the Institutional Review Board (IRB) of Seoul National University Bundang Hospital (IRB No. X-2401-878-901). The requirement for informed consent was waived due to the retrospective nature of the study and the use of de-identified data. All clinical and administrative data were provided through the HIRA Joint Project on Quality Assessment Research, with strict de-identification protocols implemented to ensure the anonymity of both patients and healthcare facilities.

Results

Baseline characteristics

The ASQAP database (n=136,191), reflecting the mandatory nationwide audit of nearly all acute stroke cases in Korea, revealed significant demographic and clinical shifts between 2013 and 2023 (Table 1). The mean age of patients increased significantly from 67.1±13.4 years to 69.6±13.7 years (Ptrend<0.001). Notably, the proportion of the “old-old” population (aged ≥85 years) nearly doubled from 7.2% to 13.4%, highlighting a rapid transition toward a super-aging society (Ptrend<0.001). While IS consistently comprised approximately 75% of all cases, the proportion of SAH cases decreased significantly from 9.6% to 7.4% (Ptrend<0.001). Stroke severity for IS exhibited a shift toward milder deficits, with the proportion of severe cases (NIHSS ≥16) declining from 9.7% to 8.6% (Ptrend=0.006).

Baseline characteristics of patients with acute stroke (2013–2023)

Prehospital care

Despite advancements in healthcare infrastructure, prehospital delays remained a persistent challenge (Table 2). The median symptom onset-to-arrival time for any stroke was stagnant at approximately 4.0 hours. Alarmingly, only one out of three IS patients arrived within the critical 3-hour window, a figure that showed no improvement over the decade.

Prehospital triage and care metrics by stroke subtype

However, systemic improvements in prehospital triage were evident across several indicators. Ambulance utilization increased significantly across all subtypes (any stroke: 55.4% to 61.8%, Ptrend<0.001). Direct routing to specialized facilities also matured, as evidenced by a significant increase in admissions to stroke centers (55.8% to 78.2%, Ptrend<0.001) and a corresponding reduction in inter-hospital referral rates from 10.9% to 5.2% (Ptrend<0.001).

In stratified analyses according to ambulance use (Supplementary Table 1), patients transported by ambulance consistently demonstrated substantially shorter onset-to-arrival times than those who did not use ambulance services across all study periods. For example, in 2022/2023, the median arrival time for any stroke was 2.3 hours in the ambulance group compared with 9.8 hours in the non-ambulance group. Similarly, the proportion arriving within 3 hours was consistently higher among ambulance users. Notably, temporal trends differed qualitatively between the two groups (Pinteraction<0.001). While the ambulance group showed a modest but significant decrease in median arrival time over the decade (2.5 to 2.3 hours; Ptrend=0.003), the non-ambulance group experienced a progressive worsening (7.9 to 9.8 hours; Ptrend<0.001). These findings indicate that the population-level stagnation in arrival times primarily reflects the growing prehospital delay among patients not utilizing emergency services.

Hospital management

IVT utilization for IS stabilized at approximately 6.0% after 2014 (Table 3). Regarding the efficiency of hyperacute care, approximately 85% of patients achieved door-to-needle (DTN) times of ≤60 minutes, maintaining a consistent performance level without significant temporal trend. In contrast, EVT utilization more than doubled from 5.3% to 11.6% overall (Ptrend<0.001). This surge was most prominent in severe IS (NIHSS ≥16), where EVT rates skyrocketed from 18.3% to 41.1% (Ptrend<0.001). Furthermore, late-window thrombectomy (6–24 hours) increased threefold (3.0% to 10.1%). Carotid artery stenting utilization also rose (1.7% to 2.5%, Ptrend<0.001), while carotid endarterectomy remained consistently low. Decompressive surgery for severe IS (NIHSS ≥15) was performed in 3.6% to 5.1% of patients, maintaining a stable trend over the study period.

Temporal trends in acute management and revascularization for ischemic stroke

A substantial transition was observed in pharmacological management at discharge (Table 4 and Supplementary Table 2). Statin prescription rates increased steadily from 73.4% to 92.1%. Antithrombotic therapy moved toward intensity, with dual or multiple antiplatelet therapy use rising from 55.4% to 67.2% (Ptrend<0.001). The most profound change occurred in atrial fibrillation management. Warfarin use plummeted (53.6% to 6.3%), while non-vitamin K antagonist oral anticoagulant (NOAC) utilization surged from 4.5% to 78.4% (Ptrend<0.001). By 2023, apixaban (37.7%) and edoxaban (24.5%) emerged as the most widely adopted agents.

Pharmacological management at discharge for ischemic stroke

Management of hemorrhagic stroke showed a definitive transition toward minimally invasive techniques in SAH, while surgical patterns for ICH remained stable (Table 5). In SAH, surgical clipping plummeted (36.7% to 12.2%, Ptrend<0.001), while endovascular coiling became the predominant modality, nearly doubling to 63.4% (Ptrend<0.001). Decompressive surgery rates for ICH remained stable between 25.0% and 29.7%. Inpatient rehabilitation utilization and transfers to specialized facilities increased significantly across all subtypes, indicating an enhanced post-acute care continuum (Supplementary Table 3).

Longitudinal shifts in surgical and interventional management of hemorrhagic stroke

Outcomes

Crude mortality rates showed significant improvements especially in SAH, with 1-month mortality declining from 29.0% in 2013 to 23.0% in 2022/2023 (Ptrend<0.001) (Figure 1 and Supplementary Table 4). For other subtypes, crude mortality remained relatively stable. After adjusting for age, sex, and stroke severity, no significant long-term linear trends in mortality were observed across any stroke subtype. Results were materially unchanged after additional adjustment for CCI score (Supplementary Table 4).

Figure 1.

Trends in crude mortality rates across stroke subtypes (2013–2023). Longitudinal trends in crude mortality for (A) any stroke, (B) ischemic stroke, (C) ICH, and (D) SAH. A significant decline in 1-month mortality was observed only in SAH (Ptrend<0.001). ICH, intracerebral hemorrhage; SAH, subarachnoid hemorrhage.

However, RCS modeling revealed a non-linear U-shaped association between calendar years and mortality outcomes. Significant non-linearity was observed for adjusted mortality in any stroke and IS (all Pnon-linearity<0.001) (Figure 2 and Supplementary Table 5). The spline curves showed an initial decline in adjusted mortality rates, with a nadir observed around 2018, followed by an increase in later years.

Figure 2.

Restricted cubic spline curves for non-linear trends in 1-year mortality. Predicted 1-year mortality odds ratio using 3-knot restricted cubic splines, adjusted for age, sex, and stroke severity. Shaded areas indicate 95% CIs. Significant U-shaped trends (Pnon-linearity<0.001) are shown for any stroke and ischemic stroke. ICH, intracerebral hemorrhage; SAH, subarachnoid hemorrhage; CI, confidence interval.

Discussion

This study, utilizing a mandatory nationwide audit program, provides a comprehensive 10-year panorama of acute stroke care and outcomes in South Korea. Over the decade, we observed a substantial change in stroke management, characterized by the rapid adoption of endovascular therapies, a near-complete transition to NOACs, and a definitive shift toward minimally invasive interventions for SAH. However, our analysis also identified critical systemic bottlenecks, particularly a persistent prehospital delay and a concerning U-shaped reversal in adjusted mortality following the COVID-19 pandemic.

The unexplained discrepancy between ambulance use and arrival time remains one of the most critical challenges identified in this study. While ambulance utilization significantly increased across all stroke subtypes and direct routing to specialized stroke centers reached over 78.2%, the proportion of patients arriving within the 3-hour golden window remained disappointingly stagnant. This disconnect suggests that improving prehospital care requires more than just increasing public awareness or physical infrastructure. It highlights potential structural deficiencies within the current Emergency Medical Service (EMS) system, where prehospital triage and initial response protocols may not be sufficiently optimized for rapid stroke identification and dispatch. To bridge this gap, future research and policymaking should prioritize linking ASQAP data with EMS-specific databases. Such data linkage would allow for the granulation of prehospital time into “onset-to-first medical contact (FMC)” and “FMC-to-hospital arrival,” enabling targeted interventions to reduce systemic delays [16].

In the management of IS, the surge in EVT utilization—particularlyIn the management of IS, the surge in EVT utilization—particularly reaching 41.1% in severe cases—represents the most dynamic clinical change. This reflects the prompt integration of landmark trial evidence into real-world practice [17,18]. Interestingly, while the efficiency of hyperacute care remains high with 85% of patients achieving DTN time ≤60 minutes, this figure has plateaued. This “ceiling effect” indicates that most participating hospitals have already reached a high level of performance, yet further reduction in DTN time may require more advanced systemic interventions, such as pre-notification systems [19] or mobile stroke units [20]. The stabilization of IVT rates around 6.0% after 2014, despite the EVT surge, suggests a paradigm shift where clinical decision-making is increasingly tailored toward large vessel occlusion management, potentially prioritized over traditional thrombolysis in eligible cases [21]. In addition to EVT expansion, several other factors may have contributed to the IVT plateau. The 2013 American Heart Association/American Stroke Association guidelines [22] and the contemporaneous Korean Stroke Society guidelines extended IVT eligibility from 3 to 4.5 hours after symptom onset [23], which likely contributed to the initial increase in IVT utilization observed in 2014 (8.4%). However, because patients aged >80 years were excluded from the European Cooperative Acute Stroke Study III trial [24] that informed these guidelines, national reimbursement coverage for IVT in this age group remained restricted, potentially explaining the marked decline in IVT use among patients aged ≥80 years from 6.0% (2014) to 0.7% (2018). Following a revision of the HIRA reimbursement criteria in 2018 that removed this age restriction, IVT rates in patients aged ≥80 years rebounded to 4.8% (2020/2021) and 5.4% (2022/2023). Despite this recovery in the elderly subgroup, the overall national IVT rate remained stable at approximately 6%, reflecting a multifactorial equilibrium between expanding EVT indications, demographic aging, and evolving reimbursement policies.

The pharmacological landscape has been equally transformative, marked by near-universal statin prescriptions, the dominance of NOACs, and an increasing reliance on dual antiplatelet therapy (DAPT). Statin utilization increased to 92.1%, becoming a non-negotiable standard of care [25,26]. NOAC utilization skyrocketed to 68.4%, with apixaban and edoxaban emerging as the preferred agents, a trend that mirrors global shifts toward more patient-friendly and effective anticoagulation [26,27]. Furthermore, the significant rise in DAPT use at discharge (55.4% to 67.2%) demonstrates the rapid real-world implementation of recent evidence supporting its efficacy in minor stroke and transient ischemic attack [28,29]. These trends demonstrate that Korean clinicians are highly responsive to evidence-based guidelines, leading to a high degree of pharmacological optimization across the nation.

A key success story is the management of SAH, which was the only subtype to demonstrate a significant decline in crude mortality. This improvement is inextricably tied to the transition from surgical clipping to endovascular coiling—reaching 63.4%— and the increased focus on prophylactic management of unruptured aneurysms [30]. The declining proportion of SAH among all strokes further supports the success of nationwide screening and preventive coiling programs in reducing the incidence of aneurysmal rupture [31]. In contrast, management for ICH remained largely stable, though the emerging role of minimally invasive hematoma evacuation may disrupt this clinical equilibrium in the near future [32].

The most concerning finding is the non-linear “U-shaped” trend in adjusted mortality, with rates reaching a nadir in 2018 followed by a significant uptick after 2020. This reversal suggests that the progress made in the first half of the decade was offset by the combined impact of an exponentially aging population and the systemic disruptions of the COVID-19 pandemic [33]. Although the temporal increase coincided with the COVID-19 pandemic period, no pandemic-specific or system-level variables could be included in the analysis, precluding causal inference. Other plausible explanations include the rapid growth of the very elderly population and increasing frailty and comorbidity burden. The doubling of the “old-old” (≥85 years) demographic places unprecedented strain on post-acute care and rehabilitation services, which may have been further affected during the pandemic period. These findings serve as a critical warning, highlighting the urgent need for healthcare systems to build robust resilience and sustainable care models that can withstand global crises while managing the complexities of a super-aging society. Further studies incorporating healthcare system capacity and pandemic-related indicators are needed to clarify the mechanisms underlying this temporal association.

While this study benefits from a mandatory nationwide dataset with virtually no loss to follow-up, several limitations must be acknowledged. The exclusion of low-volume facilities and potential seasonal effects of the audit periods may affect the generalizability of certain findings. Moreover, the results reflect a stroke care system with distinctive organizational features, including universal health coverage and centralized quality monitoring. Despite these system-specific characteristics, several observed trends—such as EVT expansion and increased NOAC use—are consistent with international experience and may offer useful insights for other rapidly aging societies, particularly regarding the value of sustained national quality monitoring programs and policy-level reimbursement alignment in translating clinical evidence into real-world practice. Additionally, the reliance on claims data for certain interventions and the lack of detailed clinical history (e.g., specific risk factors) may limit the depth of the causal analysis. Although we performed additional adjustment for CCI score to account for baseline comorbidity burden, residual confounding related to premorbid functional status, frailty, or treatment limitation decisions—particularly among the rapidly increasing very elderly population—cannot be fully excluded. Nevertheless, the unparalleled scale and clinical granularity of the ASQAP database provide robust evidence for the evolving landscape of stroke care in Korea.

Conclusions

Over the past decade, inpatient acute stroke management in South Korea has undergone substantial evolution, characterized by the rapid integration of endovascular thrombectomy for severe IS, a definitive transition to endovascular coiling for SAH, and highly optimized pharmacological care featuring near-universal statin use and the widespread adoption of NOACs and dual antiplatelet therapy. These advancements reflect a highly responsive healthcare system that successfully translates emerging clinical evidence into real-world practice.

However, notable challenges remain regarding the sustainability of these clinical gains. First, the “unexplained discrepancy between ambulance use and arrival time”—where increased emergency transport has not yet translated into improved golden-hour arrival rates—highlights important bottlenecks in the prehospital care continuum. Future policies must move beyond simply increasing ambulance utilization to focus on enhancing EMS triage protocols and optimizing hospital-EMS data linkage to minimize systemic delays.

Furthermore, the non-linear, U-shaped reversal in adjusted mortality following the COVID-19 pandemic highlights the potential vulnerability of the stroke care system in a rapidly superaging society. This reversal underscores the importance of building robust healthcare resilience. To sustain the progress made in stroke outcomes, it is essential to develop scalable care models that can address the complex needs of the oldest-old population while maintaining operational integrity during global health crises.

Supplementary materials

Supplementary materials related to this article can be found online at https://doi.org/10.5853/jos.2026.00360.

Supplementary Table 1.

Onset to arrival time according to use of ambulance

jos-2026-00360-Supplementary-Table-1.pdf
Supplementary Table 2.

Profiles of antithrombotics at discharge

jos-2026-00360-Supplementary-Table-2.pdf
Supplementary Table 3.

Secular trends of rehabilitation in acute stroke

jos-2026-00360-Supplementary-Table-3.pdf
Supplementary Table 4.

Secular trends of 1-month, 3-month, and 1-year mortality

jos-2026-00360-Supplementary-Table-4.pdf
Supplementary Table 5.

Predicted probabilities of non-linear effect of calendar year and 1-month, 3-month, 1-year mortality

jos-2026-00360-Supplementary-Table-5.pdf

Notes

Funding statement

This research was supported partly by the “Korea National Institute of Health” research project (project No. 2023-ER-1006-02) and by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HI23C0359).

Conflicts of interest

The authors have no financial conflicts of interest.

Author contribution

Conceptualization: Jun Yup Kim, Hee-Joon Bae. Study design: Jun Yup Kim, Seong-Eun Kim, Juneyoung Lee, Hee-Joon Bae. Methodology: Seong-Eun Kim, Ji Sung Lee, Juneyoung Lee. Data collection: Jun Yup Kim, Seong-Eun Kim. Investigation: Jun Yup Kim, Seong-Eun Kim. Statistical analysis: Seong-Eun Kim. Writing—original draft: Jun Yup Kim. Writing—review & editing: all authors. Funding acquisition: Hee-Joon Bae. Approval of final manuscript: all authors.

Acknowledgments

This study was performed by Joint Project on Quality Assessment Research of the Health Insurance Review and Assessment Service, Republic of Korea.

References

1. The National Institute of Neurological Disorders and Stroke rt-PA Stroke Study Group. Tissue plasminogen activator for acute ischemic stroke. N Engl J Med 1995;333:1581–1588.
2. Saver JL, Goyal M, Bonafe A, Diener HC, Levy EI, Pereira VM, et al. Stent-retriever thrombectomy after intravenous t-PA vs. t-PA alone in stroke. N Engl J Med 2015;372:2285–2295.
3. Jovin TG, Chamorro A, Cobo E, de Miquel MA, Molina CA, Rovira A, et al. Thrombectomy within 8 hours after symptom onset in ischemic stroke. N Engl J Med 2015;372:2296–2306.
4. Parry-Jones AR, Järhult SJ, Kreitzer N, Morotti A, Toni D, Seiffge D, et al. Acute care bundles should be used for patients with intracerebral haemorrhage: an expert consensus statement. Eur Stroke J 2024;9:295–302.
5. Parry-Jones AR, Sammut-Powell C, Paroutoglou K, Birleson E, Rowland J, Lee S, et al. An intracerebral hemorrhage care bundle is associated with lower case fatality. Ann Neurol 2019;86:495–503.
6. Pradilla G, Ratcliff JJ, Hall AJ, Saville BR, Allen JW, Paulon G, et al. Trial of early minimally invasive removal of intracerebral hemorrhage. N Engl J Med 2024;390:1277–1289.
7. Suarez JI, Tarr RW, Selman WR. Aneurysmal subarachnoid hemorrhage. N Engl J Med 2006;354:387–396.
8. Baldereschi M, Balzi D, Di Fabrizio V, De Vito L, Ricci R, D’Onofrio P, et al. Administrative data underestimate acute ischemic stroke events and thrombolysis treatments: data from a multicenter validation survey in Italy. PLoS One 2018;13e0193776.
9. Tirschwell DL, Longstreth WT Jr. Validating administrative data in stroke research. Stroke 2002;33:2465–2470.
10. Saini V, Guada L, Yavagal DR. Global epidemiology of stroke and access to acute ischemic stroke interventions. Neurology 2021;97(20 Suppl 2):S6–S16.
11. Andersen KK, Olsen TS, Dehlendorff C, Kammersgaard LP. Hemorrhagic and ischemic strokes compared: stroke severity, mortality, and risk factors. Stroke 2009;40:2068–2072.
12. Bae HJ, CRCS-K Investigators. David G. Sherman Lecture Award: 15-year experience of the nationwide multicenter stroke registry in Korea. Stroke 2022;53:2976–2987.
13. Park HK, Kim SE, Cho YJ, Kim JY, Oh H, Kim BJ, et al. Quality of acute stroke care in Korea (2008-2014): retrospective analysis of the nationwide and nonselective data for quality of acute stroke care. Eur Stroke J 2019;4:337–346.
14. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987;40:373–383.
15. Kim TJ, Lee JS, Kim JY, Kim DY, Kim YS, Kang DW, et al. Sex differences in mortality and functional outcomes across stroke subtype: a nationwide cohort study. Int J Stroke 2026;:17474930261419672.
16. Zachrison KS, Nielsen VM, de la Ossa NP, Madsen TE, Cash RE, Crowe RP, et al. Prehospital Stroke Care Part 1: emergency medical services and the stroke systems of care. Stroke 2023;54:1138–1147.
17. Suh SH. The annual trends between neurointerventional and neurosurgical procedures in Korea: analysis using HIRA data from 2010 to 2016. Neurointervention 2017;12:77–82.
18. Wu M, He Z, Yu K, Zhang L, Zhao Z, Zhu B. Global trends of mechanical thrombectomy in acute ischemic stroke over the past decade: a scientometric analysis based on WOSCC and GBD database. World Neurosurg 2025;194:123462.
19. Lin CB, Peterson ED, Smith EE, Saver JL, Liang L, Xian Y, et al. Emergency medical service hospital prenotification is associated with improved evaluation and treatment of acute ischemic stroke. Circ Cardiovasc Qual Outcomes 2012;5:514–522.
20. Grotta JC, Yamal JM, Parker SA, Rajan SS, Gonzales NR, Jones WJ, et al. Prospective, multicenter, controlled trial of mobile stroke units. N Engl J Med 2021;385:971–981.
21. Park TH, Hong KS, Cho YJ, Ryu WS, Kim DE, Park MS, et al. Temporal trends in stroke management and outcomes between 2011 and 2020 in South Korea: results from a nationwide multicenter registry. J Am Heart Assoc 2025;14e035218.
22. Jauch EC, Saver JL, Adams Jr HP, Bruno A, Connors JJ, Demaerschalk BM, et al. Guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2013;44:870–947.
23. Park TH, Lee JS, Park SS, Ko Y, Lee SJ, Lee KB, et al. Safety and efficacy of intravenous recombinant tissue plasminogen activator administered in the 3-to 4.5-hour window in Korea. J Stroke Cerebrovasc Dis 2014;23:1805–1812.
24. Hacke W, Kaste M, Bluhmki E, Brozman M, Dávalos A, Guidetti D, et al. Thrombolysis with alteplase 3 to 4.5 hours after acute ischemic stroke. N Engl J Med 2008;359:1317–1329.
25. Overwyk KJ, Yin X, Tong X, King SMC, Wiltz JL, ; Paul Coverdell National Acute Stroke Program T. Defect-free care trends in the Paul Coverdell National Acute Stroke Program, 2008-2018. Am Heart J 2021;232:177–184.
26. Skajaa N, Laugesen K, Lauffenburger JC, Schwamm LH, Sørensen HT, Patorno E. Trends in the use of medications for secondary ischemic stroke prevention in Denmark, 2005-2021. Neurology 2024;102e209309.
27. Essien UR, Chiswell K, Kaltenbach LA, Wang TY, Fonarow GC, Thomas KL, et al. Association of race and ethnicity with oral anticoagulation and associated outcomes in patients with atrial fibrillation: findings from the get with the guidelinesatrial fibrillation registry. JAMA Cardiol 2022;7:1207–1217.
28. Johnston SC, Easton JD, Farrant M, Barsan W, Conwit RA, Elm JJ, et al. Clopidogrel and aspirin in acute ischemic stroke and high-risk TIA. N Engl J Med 2018;379:215–225.
29. Wang Y, Wang Y, Zhao X, Liu L, Wang D, Wang C, et al. Clopidogrel with aspirin in acute minor stroke or transient ischemic attack. N Engl J Med 2013;369:11–19.
30. Jalbert JJ, Isaacs AJ, Kamel H, Sedrakyan A. Clipping and coiling of unruptured intracranial aneurysms among medicare beneficiaries, 2000 to 2010. Stroke 2015;46:2452–2457.
31. Lee SU, Kim T, Kwon OK, Bang JS, Ban SP, Byoun HS, et al. Trends in the incidence and treatment of cerebrovascular diseases in Korea : Part I. intracranial aneurysm, intracerebral hemorrhage, and arteriovenous malformation. J Korean Neurosurg Soc 2020;63:56–68.
32. Huan J, Yao M, Ma Y, Mei F, Liu Y, Ma L, et al. Surgical interventions for spontaneous supratentorial intracerebral haemorrhage: a systematic review and network meta-analysis. eClinicalMedicine 2025;79:102999.
33. Van Dusen RA, Abernethy K, Chaudhary N, Paudyal V, Kurmi O. Association of the COVID-19 pandemic on stroke admissions and treatment globally: a systematic review. BMJ open 2023;13e062734.

Article information Continued

Figure 1.

Trends in crude mortality rates across stroke subtypes (2013–2023). Longitudinal trends in crude mortality for (A) any stroke, (B) ischemic stroke, (C) ICH, and (D) SAH. A significant decline in 1-month mortality was observed only in SAH (Ptrend<0.001). ICH, intracerebral hemorrhage; SAH, subarachnoid hemorrhage.

Figure 2.

Restricted cubic spline curves for non-linear trends in 1-year mortality. Predicted 1-year mortality odds ratio using 3-knot restricted cubic splines, adjusted for age, sex, and stroke severity. Shaded areas indicate 95% CIs. Significant U-shaped trends (Pnon-linearity<0.001) are shown for any stroke and ischemic stroke. ICH, intracerebral hemorrhage; SAH, subarachnoid hemorrhage; CI, confidence interval.

Table 1.

Baseline characteristics of patients with acute stroke (2013–2023)

2013 (n=10,108) 2014 (n=9,491) 2016 (n=25,760) 2018 (n=28,286) 2020/2021 (n=30,139) 2022/2023 (n=32,407) Ptrend
Age (yr) 67.1±13.4 67.2±13.6 67.5±13.7 68.2±13.8 69.0±13.7 69.6±13.7 <0.001
Age subgroup (yr) <0.001
 <45 6.0 6.0 5.7 5.4 4.8 4.5 <0.001
 45–54 13.5 13.3 12.8 12.0 10.7 9.9 <0.001
 55–64 19.1 20.1 21.4 21.0 20.9 20.0 0.997
 65–74 27.8 26.0 23.8 22.4 23.5 24.1 <0.001
 75–84 26.4 26.7 27.6 29.1 28.3 28.1 <0.001
 ≥85 7.2 8.0 8.7 10.2 11.8 13.4 <0.001
Female sex 44.6 44.3 45.0 44.1 43.7 43.6 0.002
Stroke types <0.001
 Ischemic stroke 74.4 78.4 75.7 76.4 75.8 76.8 0.042
 ICH 16.1 13.1 15.3 15.2 16.2 15.9 <0.001
 SAH 9.6 8.5 9.0 8.4 8.0 7.4 <0.001
Stroke severity
 NIHSS score (ischemic stroke) 3 (1–8) 3 (1–7) 3 (1–8) 3 (1–7) 3 (1–7) 3 (1–7) <0.001
 NIHSS score (ischemic stroke) <0.001
  0–4 59.9 61.4 58.9 59.5 58.6 59.9 <0.001
  5–15 30.4 29.1 31.7 31.8 32.8 31.4 <0.001
  ≥16 9.7 9.5 9.5 8.7 8.7 8.6 0.006
 GCS score (ICH) 13 (7–15) 13 (6–15) 13 (8–15) 13 (8–15) 13 (8–15) 13 (8–15) 0.132
 GCS score (ICH) 0.044
  Mild (13–15) 54.8 51.4 55.0 56.1 56.0 55.2 <0.001
  Moderate (9–12) 16.8 15.7 17.9 17.2 17.6 18.0 <0.001
  Severe (3–8) 28.4 32.9 27.1 26.7 26.4 26.8 0.110
 GCS score (SAH) 14 (6–15) 14 (6–15) 14 (7–15) 14 (7–15) 14 (7–15) 14 (7–15) 0.847
 GCS score (SAH) 0.140
  Mild (13–15) 58.7 61.8 62.9 62.3 59.8 60.0 <0.001
  Moderate (9–12) 9.5 7.2 9.2 9.9 9.6 10.4 0.004
  Severe (3–8) 31.8 31.0 27.9 27.8 30.6 29.6 0.032

Values are presented as mean±SD, median (IQR), or percent. Ptrend was calculated via Cochran-Armitage, Cochran-Mantel-Haenszel, linear regression, or Jonckheere-Terpstra tests as appropriate. For multilevel categorical variables, each level was dummy coded and evaluated using the Cochran-Armitage test. Stroke severity was assessed using the NIHSS for ischemic stroke and GCS for hemorrhagic stroke (ICH and SAH).

ICH, intracerebral hemorrhage; SAH, subarachnoid hemorrhage; NIHSS, National Institutes of Health Stroke Scale; GCS, Glasgow Coma Scale; SD, standard deviation; IQR, interquartile range.

Table 2.

Prehospital triage and care metrics by stroke subtype

2013 2014 2016 2018 2020/2021 2022/2023 Ptrend
Arrival time (hr)
 Any stroke 4.0 (1.3–14.8) 4.0 (1.2–14.8) 3.6 (1.2–13.9) 3.9 (1.2–15.2) 4.1 (1.2–15.8) 3.9 (1.2–15.3) <0.001
 Ischemic stroke 5.3 (1.7–18.6) 5.2 (1.5–18.5) 4.9 (1.5–17.5) 5.3 (1.5–19.0) 5.6 (1.6–19.7) 5.1 (1.5–18.9) 0.001
 ICH 2.0 (0.9–5.7) 1.9 (0.7–5.3) 1.9 (0.8–5.2) 1.9 (0.8–5.3) 1.8 (0.9–5.4) 1.8 (0.9–5.7) 0.045
 SAH 2.0 (0.9–4.5) 1.9 (0.7–4.7) 2.0 (0.8–4.5) 1.6 (0.7–4.0) 1.6 (0.7–4.2) 1.7 (0.8–4.4) 0.118
Arrival within 3 hours from FAT
 Any stroke 41.8 42.5 43.8 42.6 41.5 42.3 0.042
 Ischemic stroke 35.4 37.1 38.2 36.4 34.9 36.6 0.053
 ICH 59.7 62.5 61.4 60.6 61.0 60.2 0.572
 SAH 61.7 61.0 61.1 66.3 63.6 62.8 0.134
Use of ambulance
 Any stroke 55.4 56.3 58.3 59.0 61.2 61.8 <0.001
 Ischemic stroke 48.6 50.9 52.1 52.8 55.2 56.6 <0.001
 ICH 73.1 74.1 76.8 78.0 79.2 78.8 <0.001
 SAH 79.1 78.8 78.8 81.2 81.8 80.5 0.034
Admission to stroke center
 Any stroke 55.8 59.7 62.6 63.4 75.4 78.2 <0.001
 Ischemic stroke 57.1 60.0 62.8 63.5 75.4 77.7 <0.001
 ICH 47.3 54.1 59.8 61.4 73.5 78.2 <0.001
 SAH 59.8 65.5 64.9 66.0 79.1 83.0 <0.001
Referral from other hospitals
 Any stroke 10.9 10.0 9.2 8.3 7.0 5.2 <0.001
 Ischemic stroke 10.1 9.9 8.7 8.1 6.7 4.8 <0.001
 ICH 12.5 11.1 11.4 9.4 8.0 6.4 <0.001
 SAH 15.0 9.3 10.2 7.4 7.5 6.0 <0.001

Values are median (IQR) or percent. Arrival within 3 hours from FAT reflects the proportion of patients reaching the hospital within the critical “golden window” for hyperacute intervention. Admission to stroke center refers to direct routing or admission to facilities certified as specialized stroke centers. Ptrend was calculated using the Cochran-Armitage test and the Jonckheere-Terpstra test as appropriate.

ICH, intracerebral hemorrhage; SAH, subarachnoid hemorrhage; IQR, interquartile range; FAT, first abnormal time.

Table 3.

Temporal trends in acute management and revascularization for ischemic stroke

2013 (n=7,516) 2014 (n=7,440) 2016 (n=19,509) 2018 (n=21,622) 2020/2021 (n=22,841) 2022/2023 (n=24,873) Ptrend
IVT rates 6.9 8.4 7.4 5.5 6.0 5.9 <0.001
IVT by age (yr) <0.001
 <80 7.2 9.1 8.5 7.1 6.5 6.1
 ≥80 5.4 6.0 3.6 0.7 4.8 5.4
IVT by NIHSS <0.001
 0–4 2.4 2.5 3.1 2.8 3.0 2.5 0.945
 5–15 14.4 18.8 14.9 10.8 11.6 12.5 <0.001
 ≥16 14.4 16.6 10.8 5.3 6.2 6.5 <0.001
Door-to-needle time (min)
 ≤30 15.8 18.8 18.5 19.3 13.8 14.9 <0.001
 ≤60 86.3 85.5 86.3 86.7 84.9 85.0 0.188
IVT rates in patients arriving within 2 hours 26.6 29.0 23.9 19.3 22.3 21.1 <0.001
IVT rates in patients arriving within 3.5 hours 22.8 26.6 22.6 18.0 21.8 20.4 <0.001
EVT rates 5.3 5.3 8.3 9.9 11.3 11.6 <0.001
 Combined IVT and EVT rates 2.0 2.1 3.0 2.7 3.2 3.5 <0.001
EVT by age (yr) <0.001
 <80 5.7 5.9 8.6 10.0 11.4 11.5
 ≥80 3.5 3.2 7.1 9.3 11.0 12.0
EVT by NIHSS <0.001
 0–4 2.1 2.1 2.4 3.0 3.6 3.7 <0.001
 5–15 8.0 8.8 13.7 15.2 17.0 18.4 <0.001
 ≥16 18.3 16.3 25.5 35.4 41.6 41.1 <0.001
EVT by LNT to arrival time (hr) <0.001
 ≤6.0 9.5 9.2 14.5 17.0 18.6 18.8 <0.001
 >6.0 to ≤24.0 3.0 3.1 5.1 7.0 9.4 10.1 <0.001
 >24.0 2.0 2.2 2.9 2.9 4.5 3.9 <0.001
CEA 0.1 0.2 0.2 0.3 0.2 0.1 0.156
CAS 1.7 1.7 1.9 2.3 2.5 2.5 <0.001
Bypass surgery 0.2 0.3 0.2 0.3 0.3 0.2 0.886
Intracranial stenting 1.0 1.0 1.1 1.1 1.5 1.6 <0.001
Decompressive surgery 0.9 1.0 1.1 1.0 1.0 1.0 0.902
Decompressive surgery in severe ischemic stroke 5.1 3.8 4.2 3.8 3.6 4.3 0.486

Values are percent. Decompressive surgery for severe IS was analyzed specifically for patients with NIHSS ≥15. Ptrend was calculated using the Cochran-Armitage test and the Cochran-Mantel-Haenszel test as appropriate.

IVT, intravenous thrombolysis; NIHSS, National Institutes of Health Stroke Scale; EVT, endovascular thrombectomy; LNT, last known normal time; CEA, carotid endarterectomy; CAS, carotid artery stenting; IS, ischemic stroke.

Table 4.

Pharmacological management at discharge for ischemic stroke

2013 2014 2016 2018 2020/2021 2022/2023 Ptrend
Ischemic stroke, all
 Statin 73.4 78.9 85.5 88.5 90.7 92.1 <0.001
 Antithrombotics
  No treatment 2.3 2.4 2.3 1.9 1.8 1.7 <0.001
  Aspirin mono 14.0 12.0 9.8 8.4 5.2 4.2 <0.001
  Other antiplatelets mono 7.3 6.9 4.9 4.0 3.8 3.6 <0.001
  Antiplatelets dual or above 55.4 59.5 62.7 65.2 66.8 67.2 <0.001
  Anticoagulants without antiplatelets 5.5 5.1 5.6 6.3 6.7 7.3 <0.001
  Anticoagulants with antiplatelets 15.5 14.3 14.7 14.2 15.8 16.1 <0.001
Ischemic stroke with atrial fibrillation
 Warfarin 53.6 53.1 16.2 10.2 6.7 6.3 <0.001
 NOAC 4.5 1.7 52.3 59.2 71.4 78.4 <0.001
  Dabigatran 3.4 0.8 13.4 8.3 6.8 3.8 <0.001
  Rivaroxaban 1.1 0.8 14.7 12.4 10.2 12.4 <0.001
  Edoxaban 0.0 0.0 6.2 13.1 17.8 24.5 <0.001
  Apixaban 0.0 0.1 18.0 25.4 36.6 37.7 <0.001

Values are percent. Antithrombotic therapy categories are mutually exclusive; “dual or above” includes combinations of aspirin, clopidogrel, or other antiplatelet agents. NOAC utilization was analyzed among patients with a documented history of atrial fibrillation. Ptrend was calculated using the Cochran-Armitage test.

NOAC, non-vitamin K antagonist oral anticoagulant.

Table 5.

Longitudinal shifts in surgical and interventional management of hemorrhagic stroke

2013 2014 2016 2018 2020/2021 2022/2023 Ptrend
Decompressive surgery in ICH 26.6 29.7 26.8 25.2 25.0 25.6 0.012
Surgical clipping of aneurysm in SAH 36.7 32.3 28.8 24.3 16.9 12.2 <0.001
Endovascular coiling of aneurysm in SAH 36.0 44.3 48.6 53.0 60.1 63.4 <0.001

Values are percent. Surgical clipping and endovascular coiling were tracked over a 30-day period using specific insurance claims codes. Decompressive surgery rates for ICH include all primary hematoma evacuations and decompressive craniectomies. Ptrend was calculated using the Cochran-Armitage test.

ICH, intracerebral hemorrhage; SAH, subarachnoid hemorrhage.