| Literature DB >> 30558400 |
Jun Yup Kim1, Kyusik Kang2, Jihoon Kang1, Jaseong Koo3, Dae-Hyun Kim4, Beom Joon Kim1, Wook-Joo Kim5, Eung-Gyu Kim6, Jae Guk Kim7, Jeong-Min Kim8, Joon-Tae Kim9, Chulho Kim10, Hyun-Wook Nah4, Kwang-Yeol Park8, Moo-Seok Park11, Jong-Moo Park2, Jong-Ho Park12, Tai Hwan Park11, Hong-Kyun Park13, Woo-Keun Seo14, Jung Hwa Seo6, Tae-Jin Song15, Seong Hwan Ahn16, Mi-Sun Oh17, Hyung Geun Oh18, Sungwook Yu19, Keon-Joo Lee1, Kyung Bok Lee20, Kijeong Lee3, Sang-Hwa Lee10, Soo Joo Lee7, Min Uk Jang21, Jong-Won Chung14, Yong-Jin Cho13, Kang-Ho Choi9, Jay Chol Choi22, Keun-Sik Hong13, Yang-Ha Hwang23, Seong-Eun Kim1, Ji Sung Lee24, Jimi Choi25, Min Sun Kim25, Ye Jin Kim25, Jinmi Seok25, Sujung Jang25, Seokwan Han25, Hee Won Han25, Jin Hyuk Hong25, Hyori Yun25, Juneyoung Lee25, Hee-Joon Bae1.
Abstract
Despite the great socioeconomic burden of stroke, there have been few reports of stroke statistics in Korea. In this scenario, the Epidemiologic Research Council of the Korean Stroke Society launched the "Stroke Statistics in Korea" project, aimed at writing a contemporary, comprehensive, and representative report on stroke epidemiology in Korea. This report contains general statistics of stroke, prevalence of behavioral and vascular risk factors, stroke characteristics, pre-hospital system of care, hospital management, quality of stroke care, and outcomes. In this report, we analyzed the most up-to-date and nationally representative databases, rather than performing a systematic review of existing evidence. In summary, one in 40 adults are patients with stroke and 232 subjects per 100,000 experience a stroke event every year. Among the 100 patients with stroke in 2014, 76 had ischemic stroke, 15 had intracerebral hemorrhage, and nine had subarachnoid hemorrhage. Stroke mortality is gradually declining, but it remains as high as 30 deaths per 100,000 individuals, with regional disparities. As for stroke risk factors, the prevalence of smoking is decreasing in men but not in women, and the prevalence of alcohol drinking is increasing in women but not in men. Population-attributable risk factors vary with age. Smoking plays a role in young-aged individuals, hypertension and diabetes in middle-aged individuals, and atrial fibrillation in the elderly. About four out of 10 hospitalized patients with stroke are visiting an emergency room within 3 hours of symptom onset, and only half use an ambulance. Regarding acute management, the proportion of patients with ischemic stroke receiving intravenous thrombolysis and endovascular treatment was 10.7% and 3.6%, respectively. Decompressive surgery was performed in 1.4% of patients with ischemic stroke and in 28.1% of those with intracerebral hemorrhage. The cumulative incidence of bleeding and fracture at 1 year after stroke was 8.9% and 4.7%, respectively. The direct costs of stroke were about ₩1.68 trillion (KRW), of which ₩1.11 trillion were for ischemic stroke and ₩540 billion for hemorrhagic stroke. The great burden of stroke in Korea can be reduced through more concentrated efforts to control major attributable risk factors for age and sex, reorganize emergency medical service systems to give patients with stroke more opportunities for reperfusion therapy, disseminate stroke unit care, and reduce regional disparities. We hope that this report can contribute to achieving these tasks.Entities:
Keywords: Epidemiology; Statistics; Stroke
Year: 2018 PMID: 30558400 PMCID: PMC6372894 DOI: 10.5853/jos.2018.03125
Source DB: PubMed Journal: J Stroke ISSN: 2287-6391 Impact factor: 6.967
Stroke incidence rate, prevalence, and mortality
| Variable | Value |
|---|---|
| Incidence rates, all ages (per 100,000/yr)[ | |
| Overall, crude | 216 |
| Overall, age-standardized[ | 232 |
| Male[ | 230 |
| Female[ | 235 |
| Age, ≤54 yr | 61 |
| Age, 55–74 yr | 348 |
| Age, ≥75 yr | 463 |
| Prevalence, age ≥ 19 yr (%)[ | |
| Overall, crude | 1.71 |
| Overall, age-standardized[ | 1.37 |
| Male[ | 1.56 |
| Female[ | 1.19 |
| Age, 19–54 yr | 0.53 |
| Age, 55–74 yr | 3.72 |
| Age, ≥75 yr | 7.02 |
| Mortality, all ages (per 100,000/yr) (%)[ | |
| Overall, age-standardized[ | 29.6 |
| Male[ | 37.4 |
| Female[ | 23.6 |
| Age, 19–54 yr | 6.8 |
| Age, 55–74 yr | 60.9 |
| Age, ≥75 yr | 605.1 |
Incidence of stroke was adopted from the 2006 Korean Center for Disease Control & Prevention Report,12 which estimated the rates using data obtained in 2004;
Standardization was made using the age structure of the general population in the 2005 Census of Korea;
Prevalence of stroke was calculated using the Korea National Health and Nutrition Examination Survey database from 2013 to 2014 in the general population ≥19 years of age;
Mortality of stroke was obtained using the Cause of Death Statistics in 2015;
Standardization was made using the age structure of the general population in the 2005 Population and Housing Census of Korea.
Figure 1.Age- and sex-standardized incidence rates of first-ever stroke by stroke type. Standardized rate denotes the number of patients per 100,000 population. Standardization was made based on the 2005 Population and Housing Census of Korea. Stroke incidence was evaluated using the National Health Insurance Service–National Sample Cohort (NHIS-NSC) database from 2002 to 2013.
Figure 2.Secular trends of age-standardized prevalence (age ≥50 years) of stroke. Standardization was made based on the 2005 Population and Housing Census of Korea. Stroke prevalence was obtained using the Korea National Health and Nutrition Examination Survey (KNHANES) database from 1998 to 2014.
Figure 3.Secular trends of age-standardized stroke mortality by stroke type. Standardized mortality denotes the number of deaths per 100,000 population. Standardization was made based on the 2005 Population and Housing Census of Korea. Stroke mortality was estimated using Annual Reports on the Cause of Death and Population and Housing Census of Korea from 2006 to 2015.
Figure 4.Age-standardized stroke mortality by region. Standardized mortality denotes the number of deaths per 100,000 population. Standardization was made based on the 2005 Population and Housing Census of Korea. Stroke mortality was estimated using Annual Reports on the Cause of Death and Population and Housing Census of Korea from 2006 to 2015.
Figure 5.Age-standardized prevalence of hypertension in the general population by region. Standardization was made based on the 2005 Population and Housing Census of Korea. Prevalence of hypertension was obtained using the Korea National Health and Nutrition Examination Survey (KNHANES) database from 2010 to 2014.
Prevalence of risk factors for stroke
| Prevalence (%) | General population[ | Stroke population[ |
|---|---|---|
| Smoking[ | ||
| Overall | 24.2 | 23.7 |
| Male | 43.1 | 37.7 |
| Female | 5.7 | 4.6 |
| High-risk alcohol intake[ | ||
| Overall | 13.5 | 25.2 |
| Male | 20.7 | 39.2 |
| Female | 6.6 | 5.1 |
| Obesity | ||
| Overall | 4.5 | 4.0 |
| Male | 5.0 | 3.6 |
| Female | 3.8 | 4.6 |
| Hypertension | ||
| Overall | 20.5 | 67.1 |
| Male | 24.1 | 64.4 |
| Female | 16.7 | 70.8 |
| Diabetes mellitus | ||
| Overall | 8.0 | 32.4 |
| Male | 9.7 | 32.5 |
| Female | 6.5 | 32.2 |
| Hypercholesterolemia[ | ||
| Overall | 7.8 | 7.2 |
| Male | 7.4 | 6.0 |
| Female | 8.3 | 8.8 |
| Atrial fibrillation | ||
| Overall | 1.9 | 21.0 |
| Male | 2.0 | 18.3 |
| Female | 1.9 | 24.7 |
Standardization was made based on the 2005 Population and Housing Census of Korea. Prevalence of each risk factor in the general population was evaluated using the Korea National Health and Nutrition Examination Survey (KNHANES) database in 2014, except for hypercholesterolemia, which was evaluated using the KNHANES database from 2010 to 2014, and atrial fibrillation, which was evaluated using the National Health Insurance Service-National Sample Cohort database in 2013. Prevalence of risk factors in the general population was analyzed in adults ≥19 years of age, except for atrial fibrillation in adults ≥20 years of age due to a different source database;
Standardization was made using the age and sex structure of the Clinical Research Collaboration for Stroke in Korea (CRCSK) database in 2014 and 2015. Prevalence of each risk factor in the stroke population was evaluated using the CRCS-K database in 2014, except for high-risk alcohol intake from January 2011 to February 2013, and hypercholesterolemia and atrial fibrillation from January 2010 to March 2015. Prevalence of risk factors in the stroke population was analyzed in all age groups;
Smoking was defined as a current smoker with a lifetime history of smoking with 100 or more cigarettes;
High-risk alcohol intake was defined as drinking with average alcohol consumption above 7 glasses in men (5 glasses in women) and twice or more a week;
Hypercholesterolemia was defined as total cholesterol ≥240 mg/dL.
Figure 6.Prevalence of (A) current cigarette smoking* and (B) high-risk alcohol intake† in the general population (adults aged ≥19 years) by sex. *Current smoking was defined as a current smoker with a lifetime history of smoking ≥5 packs (100 cigarettes). †High-risk alcohol intake was defined as drinking with average alcohol consumption above 7 glasses in men (5 glasses in women) and twice or more a week. *, †These two footnotes: standardization was made based on the 2005 Population and Housing Census of Korea. Prevalence of smoking and alcohol drinking was estimated using the Korea National Health and Nutrition Examination Survey (KNHANES) database from 1998 to 2014.
Figure 7.Age-standardized prevalence* of obesity† in the stroke population (adults aged ≥19 years). *Standardization was made based on the 2005 Population and Housing Census of Korea. Prevalence of obesity was estimated using the Korea National Health and Nutrition Examination Survey (KNHANES) database from 2008 to 2014. †Obesity was defined as a body mass index (BMI) >30 according to the World Health Organization classification. BMI was calculated as weight in kilograms divided by height in square meters.
Population-attributable risk for stroke by age group[*] and sex
| Population-attributable risk (%) | ||||
|---|---|---|---|---|
| Smoking[ | Obesity[ | Hypertension[ | Diabetes[ | |
| Male | ||||
| Young age | 45.1 | 4.0 | 18.0 | 8.6 |
| Middle age | 37.4 | 1.8 | 29.0 | 19.1 |
| Old age | 16.7 | 8.7 | 22.8 | 14.4 |
| Female | ||||
| Young age | 5.9 | 2.8 | 14.3 | 6.6 |
| Middle age | 7.7 | -0.1 | 34.1 | 16.9 |
| Old age | –1.0 | -0.8 | 24.4 | 9.6 |
OR, odds ratio.
Age group was defined as follows: young age, 19–54 years (for smokers, 19–44 years); middle age, 55–74 years (for smokers, 45–64 years); old age, ≥75 years (for smokers, ≥65 years);
Population-attributable risk (PAR) of smoking was quoted from Park et al. [32];
Obesity was defined as body mass index >30 kg/m2 according to the World Health Organization classification;
PAR was calculated using the following formula: PAR = Pg (OR – 1)/[1 + Pg (OR – 1)], where Pg represents prevalence of risk factors in the general population, estimated from the population ≥19 years of age in the 3th, 4th, and 5th Korea National Health and Nutrition Examination Survey (KNHANES) database (2005–2012) for obesity, and the 5th and 6th KNHANES database (2010–2014) for hypertension and diabetes.
Figure 8.Prevalence of atrial fibrillation in patients with acute ischemic stroke. Calculated using the Clinical Research Collaboration for Stroke in Korea (CRCS-K) database from January 2010 to March 2015 in all age groups.
Figure 9.Stroke type in Korea. Obtained from the 5th (2013) and 6th (2014) Acute Stroke Quality Assessment Program (ASQAP) database. SAH, subarachnoid hemorrhage; ICH, intracerebral hemorrhage.
Figure 10.Secular trends in ischemic stroke subtypes. Ischemic stroke subtype was evaluated using the Clinical Research Collaboration for Stroke in Korea (CRCS-K) database from April 2008 to March 2015. The magnetic resonance imaging-based diagnostic algorithm for acute ischemic stroke subtype classification (MAGIC) [37] was applied to all patients with stroke hospitalized since July 2011.
Figure 11.Stroke severity at admission in (A) acute ischemic* and (B) hemorrhagic stroke.† NIHSS, National Institutes of Health Stroke Scale; GCS, Glasgow Coma Scale. *Stroke Severity data (NIHSS scores) in patients with acute ischemic stroke were obtained from the Clinical Research Collaboration for Stroke in Korea (CRCS-K) database from April 2008 to March 2015; †Stroke Severity data (GCS scores) in patients with acute hemorrhagic stroke were obtained from the 5th (2013) and 6th (2014) Acute Stroke Quality Assessment Program (ASQAP) database.
Summary of acute management and secondary prevention
| Variable | Value |
|---|---|
| Time to arrival[ | |
| Any stroke (hr) | 4.6 (1.4–20.8) |
| Ischemic stroke (hr) | 6.2 (1.8–24.0) |
| Hemorrhagic stroke (hr) | 2.4 (0.9–7.6) |
| Within 3 hr, any stroke (%) | |
| Overall | 41.8 |
| Male | 40.8 |
| Female | 42.9 |
| Ambulance utilization rates in any stroke (%)[ | 56.0 |
| Reperfusion therapy in ischemic stroke (%)[ | |
| IVT | 10.7 |
| EVT | 3.6 |
| Hospitals providing stroke unit care (%)[ | 34.4 |
| Antithrombotics at admission in ischemic stroke (%)[ | |
| Antiplatelets | 85.3 |
| Anticoagulants | 12.9 |
| No antithormbotics | 8.2 |
| Antithrombotics at discharge in ischemic stroke (%)[ | |
| Antiplatelets | 78.2 |
| Anticoagulants | 17.5 |
| No antithormbotics | 8.3 |
| PDC during first 1 yr after index ischemic stroke (%)[ | |
| Lipid-lowering medications | 75.1 |
| Diabetes medications | 73.9 |
| Antihypertensives | 82.2 |
| Operations and interventions in ischemic stroke (%)[ | |
| CEA | 0.9 |
| CVAI | 2.9 |
| Intracerebral anastomosis | 0.6 |
| Intracranial artery intervention | 1.2 |
| Craniectomy or craniotomy | 1.4 |
Values are presented as median (interquartile range).
IVT, intravenous thrombolysis; EVT, endovascular treatment; PDC, proportion of days covered; CEA, carotid endarterectomy; CVAI, carotid or vertebral artery stenting and/or angioplasty.
Time to arrival was defined as the time interval between the first found abnormal and arrival at hospital;
Data were obtained from the 5th (2013) and 6th (2014) Acute Stroke Quality Assessment Program (ASQAP) database;
Information on antithrombotics at admission and discharge was obtained from the Clinical Research Collaboration for Stroke in Korea (CRCS-K) database from April 2008 to March 2015;
Information on PDC, operations, and interventions was obtained from the National Health Insurance Service (NHIS)-CRCS-K matching database from January 2011 to November 2013.
Figure 12.Secular trends of (A) onset-to-arrival time and (B) proportions of patients with stroke arriving within 3 hours from onset. Time to arrival and proportions of patients with stroke by arrival time were obtained from the Acute Stroke Quality Assessment Program (ASQAP) database from 2nd (2008) to 6th (2014).
Figure 13.Ambulance utilization rates among patients with stroke by region. Ambulance utilization rates were obtained from the 5th (2013) and 6th (2014) Acute Stroke Quality Assessment Program (ASQAP) database.
Figure 14.Intravenous thrombolysis (IVT) rates by region. IVT rates were calculated using the 5th (2013) and 6th (2014) Acute Stroke Quality Assessment Program (ASQAP) database.
Figure 15.Secular trends in proportions of hospitals with stroke unit care. Information on hospitals providing stroke unit care was obtained from the Acute Stroke Quality Assessment Program (ASQAP) database from 2nd (2008) to 6th (2014).
Figure 16.Distribution of hospitals with stroke units certified by the Korean Stroke Society in 2016.
Case fatality[*] of acute ischemic stroke according to stroke unit care
| Patients admitted to hospitals providing stroke unit care (n=8,789) | Patients admitted to hospitals not providing stroke unit care (n=6,230) | |
|---|---|---|
| In-hospital death (%) | 3.6 | 4.4 |
| Death within 1 mo after discharge (%) | 5.7 | 7.2 |
| Death within 1 yr after discharge (%) | 13.7 | 16.8 |
Case fatality was estimated using the 5th (2013) and 6th (2014) Acute Stroke Quality Assessment Program (ASQAP) database.
Figure 17.Antiplatelet and anticoagulant prescription for ischemic stroke or transient ischemic attack at admission and discharge. Data on antiplatelet and anticoagulant prescription were obtained from the Clinical Research Collaboration for Stroke in Korea (CRCS-K) database from April 2008 to March 2015. NOAC, non-vitamin K antagonist oral anticoagulants. (A) Antiplatelets at admission. (B) Antiplatelets at discharge. (C) Anticoagulants at admission. (D) Anticoagulants at discharge.
Secular trends in quality of care for acute ischemic stroke
| Quality of stroke care[ | 2008 | 2010 | 2011 | 2013 | 2014 |
|---|---|---|---|---|---|
| IV tPA in patients who arrived <3.5 hr after symptom onset, treated ≤4.5 hr (%) | 81.0 | 78.1 | 79.7 | 76.8 | 94.4 |
| IV tPA door-to-needle time ≤60 min (%) | 61.1 | 67.3 | 81.9 | 84.4 | 82.6 |
| Antithrombotic agents <48 hr after admission (%) | 96.4 | 99.4 | 99.8 | 99.97 | 99.95 |
| Antithrombotic agents at discharge (%) | 84.9 | 84.7 | 87.5 | 90.6 | 90.5 |
| Anticoagulation at discharge in patients with atrial fibrillation (%) | 63.2 | 68.4 | 72.5 | 80.3 | 77.0 |
IV tPA, intravenous infusion of tissue plasminogen activator.
Data on quality indicators were obtained from the Acute Stroke Quality Assessment Program (ASQAP) database from 2nd (2008) to 6th (2014).
Case fatality[*] of stroke
| Any stroke (n=19,469) | Ischemic stroke (n=14,834) | ICH (n=2,823) | SAH (n=1,750) | |
|---|---|---|---|---|
| No. of events | 5,677 | 3,909 | 1,153 | 580 |
| At 2 wk, % | 7.2 (6.8–7.6) | 3.7 (3.4–4.0) | 17.5 (16.1–18.9) | 20.4 (18.5–22.3) |
| At 1 mo, % | 9.4 (9.0–9.8) | 5.2 (4.8–5.5) | 21.6 (20.1–23.2) | 25.1 (23.1–27.2) |
| At 3 mo, % | 12.5 (12.0–12.9) | 8.0 (7.6–8.4) | 26.2 (24.6–27.9) | 27.5 (25.4–29.6) |
| At 6 mo, % | 15.0 (14.5–15.5) | 10.7 (10.2–11.2) | 28.6 (26.9–30.2) | 28.6 (26.5–30.7) |
| At 1 yr, % | 18.6 (18.1–19.1) | 14.6 (14.1–15.2) | 31.7 (30.0–33.5) | 30.1 (27.9–32.2) |
| At 3 yr, % | 27.0 (26.4–27.6) | 24.0 (23.3–24.7) | 38.7 (36.9–40.5) | 32.5 (30.3–34.7) |
ICH, intracerebral hemorrhage; SAH, subarachnoid hemorrhage.
Numbers are cumulative incidence of deaths among hospitalized stroke patients by percentage and were calculated using the Kaplan-Meier method based on the 5th (2013) and 6th (2014) Acute Stroke Quality Assessment Program (ASQAP) database.
Fracture[*] and bleeding[†] after acute ischemic stroke
| Cumulative incidence of fracture at 1 yr (%) | Cumulative incidence of bleeding at 1 yr (%) | |
|---|---|---|
| Total | 4.67 (4.27–5.06) | 8.89 (8.36–9.41) |
| Sex | ||
| Female | 7.46 (6.69–8.23) | 9.39 (8.54–10.23) |
| Male | 2.75 (2.35–3.15) | 8.54 (7.87–9.21) |
| Age (yr) | ||
| <55 | 1.64 (1.08–2.20) | 5.70 (4.68–6.72) |
| 55–74 | 3.85 (3.34–4.35) | 8.48 (7.76–9.20) |
| ≥75 | 7.76 (6.86–8.66) | 11.32 (10.28–12.36) |
| BMI (kg/m2) | ||
| <18.5 | 6.88 (4.67–9.10) | 16.61 (13.46–19.75) |
| 18.5–23.0 | 4.91 (4.23–5.59) | 9.67 (8.77–10.58) |
| 23.0–25.0 | 4.56 (3.79–5.34) | 8.26 (7.25–9.27) |
| 25.0–30.0 | 3.62 (2.94–4.30) | 6.62 (5.73–7.52) |
| ≥30.0 | 7.18 (4.62–9.75) | 6.78 (4.31–9.26) |
| GFR (mL/min/1.73 m2)[ | ||
| ≥90 | UA | 6.84 (6.15–7.53) |
| 60–90 | UA | 8.10 (7.29–8.92) |
| 30–60 | UA | 13.83 (12.11–15.54) |
| <30 | UA | 30.54 (25.10–35.98) |
| Antithrombotics at discharge | ||
| Warfarin | 4.52 (3.59–5.45) | 10.02 (8.69–11.34) |
| Antiplatelets | 4.75 (4.31–5.20) | 7.45 (6.91–8.00) |
| NOAC | 7.36 (0.41–14.30) | 7.30 (0.40–14.21) |
| No antithrombotics | 4.27 (2.64–5.89) | 22.46 (19.47–25.46) |
| mRS at discharge | ||
| 4–5 | 6.14 (5.18–7.10) | 16.68 (15.24–18.12) |
| 2–3 | 4.78 (4.11–5.45) | 7.31 (6.50–8.12) |
| 0–1 | 3.81 (3.25–4.36) | 5.30 (4.66–5.95) |
Values are presented as 95% confidence interval.
BMI, body mass index; GFR, glomerular filtration rate; mRS, modified Rankin Scale.
Defined as a composite of hip, spine, leg, forearm and arm fractures;
Defined as a composite of spinal cord and ocular bleeding, intracranial bleeding, and gastrointestinal bleeding requiring transfusion of ≥2 packs of red blood cells. *,†These two footnotes: cumulative incidence of fracture and bleeding was obtained from the National Health Insurance Service-Clinical Research Collaboration for Stroke in Korea (NHIS-CRCS-K) matching database from January 2011 to November 2013;
Estimated GFR was calculated using Modification of Diet in Renal Disease (MDRD). Formula: 186 × serum creatinine–1.154 × age–0.203 ×(0.742 if woman).
Figure 18.Direct costs (KRW) of stroke under the coverage of the National Health Insurance Services (NHIS) in Korea. Direct costs of stroke were obtained using the NHIS big data database from 2011 to 2015. 1 USD was approximately 1,200 won (KRW) on May 1, 2018.