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Stroke and Vascular Neurology

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China Stroke Statistics 2019: A Report From the National Center for Healthcare Quality Management in Neurological Diseases, China National Clinical Research Center for Neurological Diseases, the Chinese Stroke Association, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention and Institute for Global Neuroscience and Stroke Collaborations

Yong-Jun Wang, Zi-Xiao Li, Hong-Qiu Gu, Yi Zhai, Yong Jiang, Xing-Quan Zhao, Yi-Long Wang, Xin Yang, Chun-Juan Wang, Xia Meng, Hao Li, Li-Ping Liu, Jing Jing, Jing Wu, An-Ding Xu, Qiang Dong, David Wang, Ji-Zong Zhao
DOI: 10.1136/svn-2020-000457 Published 29 September 2020
Yong-Jun Wang
1 China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
2 National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Zi-Xiao Li
1 China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
2 National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Hong-Qiu Gu
1 China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
2 National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Yi Zhai
1 China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Yong Jiang
1 China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Xing-Quan Zhao
1 China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Yi-Long Wang
1 China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Xin Yang
1 China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
2 National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Chun-Juan Wang
1 China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
2 National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Xia Meng
1 China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Hao Li
1 China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Li-Ping Liu
1 China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Jing Jing
1 China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Jing Wu
3 National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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An-Ding Xu
4 Department of Neurology and Stroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China
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Qiang Dong
5 Department of Neurology, Huashan Hospital,Fudan University, Shanghai, China
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David Wang
6 Neurovascular Division, Department of Neurology, Barrow Neurological Institute, St. Joseph"s Hospital and Medical Center, Phoenix, Arizona, USA
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Ji-Zong Zhao
1 China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Article Figures & Data

Figures

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  • Figure 1
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    Figure 1

    Crude mortality rate of cerebrovascular disease in Chinese residents by sex and region, National Mortality Surveillance System 2018.

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    Figure 2

    Crude mortality rate of cerebrovascular disease in Chinese urban residents by age and sex, National Mortality Surveillance System 2018.

  • Figure 3
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    Figure 3

    Crude mortality rate of cerebrovascular disease in Chinese rural residents by age and sex, National Mortality Surveillance System 2018.

  • Figure 4
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    Figure 4

    Crude mortality rate of cerebrovascular disease in Chinese residents, National Mortality Surveillance System 2005–2018.

  • Figure 5
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    Figure 5

    Age-specific prevalence of stroke per 100 000 of Chinese adults by sex, National Epidemiological Survey of Stroke in China 2013.

  • Figure 6
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    Figure 6

    Incidence rates of stroke per 100 000 person-years of Chinese adults (≥20 years) by sex, National Epidemiological Survey of Stroke in China 2013.

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    Figure 7

    Current tobacco smoking rate for adults aged 15 years and older by age and sex, China Global Adult Tobacco Survey 2018.

  • Figure 8
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    Figure 8

    Comparison of Chinese adults’ food consumption, Chinese Nutrition and Health Surveillance 2002 and 2010–2012.

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    Figure 9

    Proportion of fat-based energy for Chinese adults by region, Chinese Nutrition and Health Surveillance 1992, 2002 and 2010–2012.

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    Figure 10

    Salt intake for Chinese adults by region, Chinese Nutrition and Health Surveillance 1992, 2002 and 2010–2012.

  • Figure 11
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    Figure 11

    Prevalence of overweight among Chinese adults by regions and age groups, Chinese Nutrition and Health Surveillance 2002 and 2010–2012 (Chinese standard for body mass index).

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    Figure 12

    Prevalence of obesity among Chinese adults by regions and age groups, Chinese Nutrition and Health Surveillance 2002 and 2010–2012 (Chinese standard for body mass index).

  • Figure 13
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    Figure 13

    Prevalence of hypertension aged 35–75 years, China Patient-Centered Evaluative Assessment of Cardiac Events (PEACE) Million Persons Project 2014–2017.

  • Figure 14
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    Figure 14

    Hypertension awareness rate of Chinese adults aged 18 years and above by region and sex, Chinese Nutrition and Health Surveillance 2002 and 2010–2012.

  • Figure 15
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    Figure 15

    Hypertension treatment rate of Chinese adults aged 18 years and above by region and sex, Chinese Nutrition and Health Surveillance 2002 and 2010–2012.

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    Figure 16

    Hypertension control rates for Chinese adults aged 18 years and above by region and sex, Chinese Nutrition and Health Surveillance 2002 and 2010–2012.

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    Figure 17

    Hypertension treatment and control rates for Chinese adults aged 18 years and above by region and sex, Chinese Nutrition and Health Surveillance 2002 and 2010–2012.

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    Figure 18

    Prevalence of dyslipidaemia in Chinese adults aged 18 years and above, Chinese Nutrition and Health Surveillance 2002, 2010–2012 and 2015.

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    Figure 19

    Percentage of adults who reported having had a cholesterol check by regions and sex, Chinese Nutrition and Health Surveillance 2002 and 2010–2012.

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    Figure 20

    Dyslipidaemia awareness rate of Chinese adults aged 18 years and above by region and sex, Chinese Nutrition and Health Surveillance 2002 and 2010–2012.

  • Figure 21
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    Figure 21

    Dyslipidaemia treatment rate of Chinese adults aged 18 years and above by region and sex, Chinese Nutrition and Health Surveillance 2002 and 2010–2012.

  • Figure 22
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    Figure 22

    Prevalence of atrial fibrillation among adults aged ≥40 years by region and sex, China National Stroke Screening and Prevention Project 2014–2015.

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    Figure 23

    Distribution of hospitals and participants from the Hospital Quality Monitoring System in 2018.

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    Figure 24

    Proportion of stroke type for in-hospital patients with stroke from the Hospital Quality Monitoring System in 2018 stratified by province.

  • Figure 25
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    Figure 25

    Risk factors or comorbidities for patients with ischaemic stroke from the Hospital Quality Monitoring System in 2018.

  • Figure 26
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    Figure 26

    Risk factors or comorbidities for patients with intracerebral haemorrhage from the Hospital Quality Monitoring System in 2018.

  • Figure 27
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    Figure 27

    Risk factors or comorbidities for patients with subarachnoid haemorrhage from the Hospital Quality Monitoring System in 2018.

  • Figure 28
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    Figure 28

    Distribution of hospitals and participants from Chinese Stroke Center Alliance in 2018.

  • Figure 29
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    Figure 29

    Procedures for patients with ischaemic stroke from the Hospital Quality Monitoring System in 2018.

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    Figure 30

    Procedures for patients with intracerebral haemorrhage from the Hospital Quality Monitoring System in 2018.

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    Figure 31

    Intervention for patients with subarachnoid haemorrhage from the Hospital Quality Monitoring System in 2018.

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    Figure 32

    Proceduresfor patients with subarachnoid haemorrhage from the Hospital Quality Monitoring System in 2018.

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    Figure 33

    In-hospital outcomes of patients with ischaemic stroke from the Hospital Quality Monitoring System in 2018 by province, autonomous region, or municipality. DAMA, discharge against medical advice.

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    Figure 34

    In-hospital outcomes of patients with intracerebral haemorrhage from the Hospital Quality Monitoring System in 2018 by province, autonomous region, or municipality. DAMA, discharge against medical advice.

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    Figure 35

    In-hospital outcomes of patients with subarachnoid haemorrhage from the Hospital Quality Monitoring System in 2018 by province, autonomous region, or municipality. DAMA, discharge without medical advice.

Tables

  • Figures
  • Table 1

    Epidemiology of stroke and related risk factors and their data sources

    IndicatorsData sourcesSurvey year
    Death rate of cerebrovascular diseaseNational Mortality Surveillance2018
    Prevalence and incidence rate of strokeNational Epidemiological Survey of Stroke2013
    Comorbidities in patients with ischaemic strokeNational Epidemiological Survey of Stroke
    China National Stroke Registry - I
    China National Stroke Registry - II
    China National Stroke Registry - III
    2013
    2007–2008
    2012–2013
    2015–2018
    Tobacco use for adults (≥15 years of age)China Global Adult Tobacco Survey2018
    Food and nutrition for adults (≥18 years of age)Chinese Nutrition and Health Surveillance2002
    2010–2012
    Overweight and obesity for adults (≥18 years of age)Chinese Nutrition and Health Surveillance2002
    2010–2012
    Hypertension and its awareness, treatment and control for adults (≥18 years of age)Chinese Nutrition and Health Surveillance2002
    2010–2012
    Hypertension and its awareness, treatment and control (35–75 years of age)China Patient-Centered Evaluative Assessment of Cardiac Events (PEACE) Million Persons Project2014–2017
    Diabetes for adults (≥18 years of age)China Chronic Disease and Risk Factors Surveillance2013
    Blood lipid and its screening, awareness and treatment for adults (≥18 years of age)Chinese Nutrition and Health Surveillance
    Chinese Nutrition and Health Surveillance
    Chinese Adults Nutrition and Chronic Diseases Surveillance
    2002
    2010–2012
    2015
    Atrial fibrillation for adults (≥40 years of age)China National Stroke Screening and Prevention Project2014–2015
  • Table 2

    ICD-10 disease code used for identification of patients with stroke and comorbidities and ICD-9-CM code used for identification of interventions or procedures

    DiseaseICD-10
    Stroke 
     Ischaemic strokeI63
     Intracerebral haemorrhage strokeI61
     Subarachnoid haemorrhage strokeI60
    Comorbidities 
     HypertensionI10
     Diabetes mellitusE11.900
     HyperlipidaemiaE78.500
     Atrial fibrillationG91.900
     Coronary atherosclerotic heart diseaseI25.103
     Cardiac arrhythmiaI49.900
     HyperuricaemiaE79.001
     Sequelae of cerebral infarctionI69.300
     Lacunar cerebral infarctionI63.801
     EncephalopathyG31.902
     Cerebral herniaG93.501
     Occlusion and stenosis of unspecified cerebral arteryI66.901
     Cerebral atherosclerosisI67.200
     Pulmonary infectionJ98.414
     PneumoniaJ18.900
     Aspiration pneumoniaJ69.001
     HydrothoraxJ94.804
     HypokalemiaE87.600
     HypoproteinaemiaE77.801
     Fatty liverK76.000
     Hyperplasia of prostateN40.x00
    Procedures 
     Intracranial artery thrombectomy39.7400×002, 39.7401,39.7400
     Carotid artery stenting0.63
     Vertebral artery balloon angioplasty00.6400×009
     Intracranial artery stenting/intracranial artery angioplasty0.6500 to 0.6200
     Vertebral artery stenting00.6102
     Middle cerebral artery stenting00.6501
     Evacuation of intracerebral haematoma/evacuation of intracranial haematoma/transtemporal evacuation of intracerebral haematoma01.3900×009, 01.2408, 01.3904
     Burr-hole drainage of ventricle/burr-hole decompression of skull01.3901,01.2414
     Stereotactic aspiration of intracranial haematoma/stereotactic puncture and drainage of intracranial haematoma/ hard tunnel puncture and drainage of intracranial haematoma01.3905, 01.3900×013, 01.3900×003
     Endoscopic drainage of haematoma01.3906
     Ventriculoperitoneal shunt/ventricoextracranial shunt02.3400×002, 02.3900
     Wrapping of intracranial aneurysm/resection of intracranial vascular malformation/clipping of carotid aneurysm39.5101
     Resection of intracranial aneurysm38.6100×002
     Neuroendoscopic clipping of intracranial aneurysm39.5100×004
     Clipping of posterior communicating artery aneurysm39.5104
     Clipping of anterior cerebral artery–anterior communicating artery aneurysm39.5107
     Clipping of middle cerebral artery aneurysm39.5103
     Clipping of cerebral aneurysm39.5100×007
     Clipping of aneurysm39.5100
    Interventions 
     Intracranial aneurysm embolisation/intracranial aneurysm coil embolisation/intracranial aneurysm embolisation/middle cerebral aneurysm embolisation39.7203, 39.7204, 39.7209, 39.7200×006
     Intracranial artery stenting/intracranial artery stent-assist coil embolisation00.6500×008, 00.6500, 39.7205
     Intracranial and cervical artery occlusion39.7500 to 39.7200
     Carotid aneurysm embolisation39.7206
     Carotid aneurysm coil embolisation39.7207
     Internal carotid embolisation39.7200×004
     Carotid artery stenting00.6300
     Wrapping of intracranial aneurysm39.5201
     Clipping of intracranial vascular malformation38.8101
     Other arteriorrhaphy39.5200
     Clipping of anterior cerebral artery aneurysm39.5102
     Resection of intracranial vascular malformation38.6101
     Clipping of carotid aneurysm39.5101
     Resection of intracranial aneurysm38.6100×002
     Neuroendoscopic clipping of intracranial aneurysm39.5100×004
     Clipping of posterior communicating artery aneurysm39.5104
     Clipping of anterior cerebral artery–anterior communicating artery aneurysm39.5107
     Clipping of middle cerebral artery aneurysm39.5103
     Clipping of cerebral aneurysm39.5100×007
     Clipping of aneurysm39.5100
    • ICD-10, International Classification of Diseases, 10th Revision; ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification.

  • Table 3

    Specifications of guideline-recommended performance measures

    Performance measure of IS carePerformance measure definition for eligible patients*
    Acute performance measures 
     Intravenous rtPA <4.5 hoursIntravenous rtPA in patients who arrive within 3.5 hours after initial symptom onset and treated within 4.5 hours
     Endovascular treatment <6 hoursMechanical endovascular reperfusion therapy for acute IS caused by arterial occlusion of proximal anterior circulation within 6 hours after admission
     Early antithromboticsAntithrombotic therapy prescribed within 2 days of hospitalisation, including antiplatelet or anticoagulant therapy
     DVT prophylaxisPatients at risk for DVT (non-ambulatory) who underwent DVT prophylaxis by the end of hospital day 2, including pneumatic compression, warfarin sodium, heparin sodium or new oral anticoagulants
     Dysphagia screeningDysphagia screening prior to any oral intake
     Rehabilitation assessmentAssessed for stroke rehabilitation services
    Performance measures at discharge 
     Antithrombotic medicationAntithrombotic therapy prescribed at discharge
     Anticoagulation for AFAnticoagulation prescribed at discharge for patients with AF or atrial flutter documented during the hospitalisation
     Antihypertensive medicines for patients with hypertensionAntihypertension medication prescribed at discharge for patients with history of hypertension disease or hypertension disease documented during the hospitalisation
     Hypoglycaemic medication for diabetes mellitusHypoglycaemic medication prescribed at discharge for patients with history of diabetes mellitus or diabetes mellitus documented during the hospitalisation
     Statin for lowering LDL≥100 mg/dLStatin prescribed at discharge if LDL≥100 mg/dL, if patient treated with lipid-lowering agent prior to admission, or LDL not documented, hypoglycaemic medication for diabetes mellitus
     Smoking cessationSmoking cessation intervention (counselling or medication) prior to discharge for current or recent smokers
     Stroke educationStroke education provided to patient and/or caregiver, including all five components: modifiable risk factors, stroke warning sign and symptoms, how to activate emergency medical services, need for follow-up and medications prescribed
    • *Eligible patients are those without any medical contraindications (eg, treatment intolerance, excessive risk of adverse reaction, patient/family refusal, or terminal illness/comfort care only) documented as reasons for non-treatment for each of the applicable measures. Acute performance measures, except for the rtPA measure, exclude patients who died before the end of day 2 of the hospital stay. Performance measures at discharge exclude patients who died during hospitalisation.

    • AF, atrial fibrillation; DVT, deep vein thrombosis; IS, ischaemic stroke; LDL, low-density lipoprotein; rtPA, recombinant tissue plasminogen activator.

  • Table 4

    Prevalence of some risk factors in stroke survivors by sex and residency, National Epidemiological Survey of Stroke in China 2013

    Sex (%)Urban and rural (%)Total (%)
    MenWomenUrbanRural
    Hypertension83.7184.8984.4284.0984.24
    Diabetes mellitus*12.7815.8917.5111.3514.18
    Dyslipidaemia*20.6323.1827.0817.2621.78
    Atrial fibrillation*2.353.073.481.982.67
    Coronary heart disease*14.8919.1020.1113.9516.79
    Current smoker†72.2817.5446.9148.2447.63
    Alcohol drinking†65.6617.4244.4543.5143.94
    • *These risk factors were significantly different by sex and residency (p<0.05).

    • †These risk factors were significantly different between men and women (p<0.05).

  • Table 5

    Prevalence of risk factors in patients with ischaemic stroke, CNSRs I–III

    CNSR-I
    2007–2008 (%)
    CNSR-II
    2012–2013 (%)
    CNSR-III
    2015–2018 (%)
    Previous stroke/TIA34.135.623.9
    Diabetes mellitus21.620.723.5
    Hypertension63.964.863.0
    Dyslipidaemia11.212.17.6
    CHD/previous MI14.513.510.5
    Atrial fibrillation7.47.06.9
    Ever smoking39.844.231.7
    • CHD, coronary heart disease; CNSR, China National Stroke Registry; MI, myocardial infarction; TIA, transient ischaemic attack.

  • Table 6

    Prevalence of tobacco use for adults ≥15 years of age by sex, China Global Adult Tobacco Survey 2018

    Overall (%)Men (%)Women (%)
    Tobacco smokers
     Current tobacco smokers26.650.52.1
     Daily tobacco smokers23.244.41.6
    Secondhand smoke
     Adults exposed to tobacco smoke at the workplace*50.960.539.6
     Adults exposed to tobacco smoke at home†44.951.737.9
    • *Among those who work outside of the home who usually work indoors or both indoors and outdoors.

    • †Smoking occurs in the home at least monthly.

  • Table 7

    Prevalence of hypertension for adults ≥18 years of age by region and sex, Chinese Nutrition and Health Surveillance 2010–2012

    NationalUrbanRural
    Total25.226.823.5
     Men26.228.124.2
     Women24.125.422.8
    18–44 years
     Subtotal10.611.310.0
     Men13.614.612.7
     Women7.37.66.9
    45–59 years
     Subtotal35.736.634.7
     Men35.937.933.6
     Women35.535.235.9
    60+ years
     Subtotal58.960.657.0
     Men56.557.655.3
     Women61.263.458.7
  • Table 8

    Weighted prevalence, awareness rate, treatment rate and control rate of diabetes among Chinese adults from China Chronic Disease and Risk Factors Surveillance in 2013

    Total diabetesPre-diabetesAwareness of diabetesTreatment of diabetesControl of diabetes
    Overall10.935.736.532.249.2
    Age groups (years)
     <405.928.822.820.056.0
     40–5912.939.539.034.547.0
     ≥6020.245.843.538.449.3
    Sex
     Women10.235.039.835.348.5
     Men11.736.433.529.549.9
    Location
     Urban12.634.343.138.453.3
     Rural9.537.029.125.242.3
  • Table 9

    Admission of in-patients with stroke from Hospital Quality Monitoring System in 2018

    VariablesTotal
    (n=3 010 204 (100%))
    IS
    (n=2 466 785 (81.9%))
    ICH
    (n=447 609 (14.9%))
    SAH
    (n=95 810
    (3.2%))
    Admission
     Other362 176 (12.0)300 091 (12.2)52 145 (11.6)9940 (10.4)
     Emergency1 113 395 (37.0)810 693 (32.9)246 281 (55.0)56 421 (58.9)
     Clinic1 500 439 (49.8)1 330 705 (53.9)142 647 (31.9)27 087 (28.3)
     Transfer34 194 (1.1)25 296 (1.0)6536 (1.5)2362 (2.5)
    Admission day
     Monday524 402 (17.4)440 525 (17.9)69 340 (15.5)14 537 (15.2)
     Tuesday470 785 (15.6)390 573 (15.8)66 097 (14.8)14 115 (14.7)
     Wednesday452 805 (15.0)373 970 (15.2)64 876 (14.5)13 959 (14.6)
     Thursday442 845 (14.7)364 341 (14.8)64 739 (14.5)13 765 (14.4)
     Friday438 835 (14.6)359 499 (14.6)65 465 (14.6)13 871 (14.5)
     Saturday352 261 (11.7)279 510 (11.3)59 667 (13.3)13 084 (13.7)
     Sunday328 271 (10.9)258 367 (10.5)57 425 (12.8)12 479 (13.0)
    • ICH, intracerebral haemorrhage; IS, ischaemic stroke; SAH, subarachnoid haemorrhage.

  • Table 10

    Characteristics of in-patients with stroke from the Hospital Quality Monitoring System in 2018

    VariablesTotal
    (n=3 010 204(100%))
    IS
    (n=2 466 785 (81.9%))
    ICH
    (n=447 609 (14.9%))
    SAH
    (n=95 810 (3.2%))
    Sex    
     Male1 784 347 (59.3)1 460 467 (59.2)284 065 (63.5)39 815 (41.6)
     Female1 225 857 (40.7)1 006 318 (40.8)163 544 (36.5)55 995 (58.4)
    Age, mean±SD66.1±12.867.3±12.161.2±14.058.4±14.4
    Age, median (IQR)67.0 (57.0–76.0)68.0 (59.0–76.0)62.0 (52.0–71.0)59.0 (50.0–68.0)
    Insurance    
     URBMI1 063 892 (35.3)932 502 (37.8)110 358 (24.7)21 032 (22.0)
     UEBMI699 513 (23.2)563 963 (22.9)112 805 (25.2)22 745 (23.7)
     NRCMS489 361 (16.3)379 973 (15.4)89 838 (20.1)19 550 (20.4)
     Self-pay321 318 (10.7)229 797 (9.3)72 984 (16.3)18 537 (19.3)
     Other436 120 (14.5)360 550 (14.6)61 624 (13.8)13 946 (14.6)
    • ICH, intracerebral haemorrhage; IS, ischaemic stroke; NRCMS, new rural cooperative medical schema; SAH, subarachnoid haemorrhage; UEBMI, urban employee basic medical insurance; URBMI, urban resident basic medical insurance.

  • Table 11

    Geographical distribution of in-patients with stroke from the Hospital Quality Monitoring System in 2018

    VariablesTotal
    (n=3 010 204 (100%))
    IS
    (n=2 466 785 (81.9%))
    ICH
    (n=447 609 (14.9%))
    SAH
    (n=95 810 (3.2%))
    Geographical distribution
     Anhui103 116 (3.4)86 149 (3.5)14 101 (3.2)2866 (3.0)
     Beijing53 003 (1.8)45 777 (1.9)5519 (1.2)1707 (1.8)
     Fujian40 616 (1.3)30 512 (1.2)7752 (1.7)2352 (2.5)
     Gansu32 806 (1.1)25 737 (1.0)6127 (1.4)942 (1.0)
     Guangdong227 357 (7.6)187 282 (7.6)32 259 (7.2)7816 (8.2)
     Guangxi97 243 (3.2)78 676 (3.2)15 314 (3.4)3253 (3.4)
     Guizhou44 168 (1.5)31 717 (1.3)10 270 (2.3)2181 (2.3)
     Hainan34 925 (1.2)31 484 (1.3)2944 (0.7)497 (0.5)
     Hebei158 322 (5.3)132 826 (5.4)21 131 (4.7)4365 (4.6)
     Henan213 814 (7.1)182 358 (7.4)25 650 (5.7)5806 (6.1)
     Heilongjiang183 046 (6.1)163 356 (6.6)16 680 (3.7)3010 (3.1)
     Hubei130 052 (4.3)102 556 (4.2)21 895 (4.9)5601 (5.8)
     Hunan106 151 (3.5)80 124 (3.2)20 399 (4.6)5628 (5.9)
     Jilin114 379 (3.8)97 868 (4.0)13 630 (3.0)2881 (3.0)
     Jiangsu204 413 (6.8)166 696 (6.8)31 755 (7.1)5962 (6.2)
     Jiangxi58 123 (1.9)42 650 (1.7)12 165 (2.7)3308 (3.5)
     Liaoning254 149 (8.4)221 027 (9.0)28 139 (6.3)4983 (5.2)
     Inner Mongolia76 376 (2.5)64 937 (2.6)9883 (2.2)1556 (1.6)
     Ningxia16 661 (0.6)13 883 (0.6)2313 (0.5)465 (0.5)
     Qinghai6898 (0.2)4472 (0.2)2127 (0.5)299 (0.3)
     Shandong215 365 (7.2)179 071 (7.3)29 810 (6.7)6484 (6.8)
     Shanxi57 230 (1.9)46 766 (1.9)8798 (2.0)1666 (1.7)
     Shannxi74 292 (2.5)61 643 (2.5)10 799 (2.4)1850 (1.9)
     Shanghai39 673 (1.3)32 697 (1.3)5582 (1.2)1394 (1.5)
     Sichuan177 402 (5.9)131 854 (5.3)37 958 (8.5)7590 (7.9)
     Tianjin58 340 (1.9)49 493 (2.0)7335 (1.6)1512 (1.6)
     Tibet999 (0.0)411 (0.0)510 (0.1)78 (0.1)
     Xingjian35 639 (1.2)27 244 (1.1)7195 (1.6)1200 (1.3)
     Yunnan44 494 (1.5)32 298 (1.3)10 116 (2.3)2080 (2.2)
     Zhejiang117 845 (3.9)91 224 (3.7)21 980 (4.9)4641 (4.8)
     Chongqing33 307 (1.1)23 997 (1.0)7473 (1.7)1837 (1.9)
    • ICH, intracerebral haemorrhage; IS, ischaemic stroke; SAH, subarachnoid haemorrhage.

  • Table 12

    Inpatients with ischaemic stroke from the Hospital Quality Monitoring System in 2018 by age and sex

    VariablesTotal
    (n=2 466 785 (100%))
    Male
    (n=1 460 467 (59.2%))
    Female
    (n=1 006 318 (40.8%))
    Age (years)
     <181555 (0.1)936 (0.1)619 (0.1)
     18–241258 (0.1)757 (0.1)501 (0.0)
     25–293611 (0.1)2541 (0.2)1070 (0.1)
     30–348600 (0.3)6542 (0.4)2058 (0.2)
     35–3918 521 (0.8)14 554 (1.0)3967 (0.4)
     40–4442 521 (1.7)31 925 (2.2)10 596 (1.1)
     45–49109 070 (4.4)77 032 (5.3)32 038 (3.2)
     50–54197 522 (8.0)131 870 (9.0)65 652 (6.5)
     55–59240 695 (9.8)158 180 (10.8)82 515 (8.2)
     60–64357 504 (14.5)219 813 (15.1)137 691 (13.7)
     65–69398 120 (16.1)229 912 (15.7)168 208 (16.7)
     70–74350 936 (14.2)194 747 (13.3)156 189 (15.5)
     75–79316 267 (12.8)168 082 (11.5)148 185 (14.7)
     80–84246 343 (10.0)126 991 (8.7)119 352 (11.9)
     85+174 262 (7.1)96 585 (6.6)77 677 (7.7)
  • Table 13

    Inpatients with intracerebral haemorrhage from the Hospital Quality Monitoring System in 2018 by age and sex

    VariablesTotal
    (n=447 609 (100%))
    Male
    (n=284 065 (63.5%))
    Female
    (n=163 544 (36.5%))
    Age (years)
     <182774 (0.6)1617 (0.6)1157 (0.7)
     18–241710 (0.4)1100 (0.4)610 (0.4)
     25–292757 (0.6)1938 (0.7)819 (0.5)
     30–345712 (1.3)4364 (1.5)1348 (0.8)
     35–3911 329 (2.5)9115 (3.2)2214 (1.4)
     40–4420 670 (4.6)15 838 (5.6)4832 (3.0)
     45–4941 279 (9.2)28 817 (10.1)12 462 (7.6)
     50–5459 147 (13.2)37 494 (13.2)21 653 (13.2)
     55–5951 790 (11.6)33 360 (11.7)18 430 (11.3)
     60–6461 613 (13.8)39 562 (13.9)22 051 (13.5)
     65–6961 129 (13.7)37 814 (13.3)23 315 (14.3)
     70–7447 388 (10.6)28 423 (10.0)18 965 (11.6)
     75–7937 221 (8.3)21 529 (7.6)15 692 (9.6)
     80–8426 497 (5.9)14 541 (5.1)11 956 (7.3)
     85+16 593 (3.7)8553 (3.0)8040 (4.9)
  • Table 14

    In-patients with subarachnoid haemorrhage from the Hospital Quality Monitoring System in 2018 by age and sex

    VariablesTotal
    (n=95 810 (100%))
    Male
    (n=39 815 (41.6%))
    Female
    (n=55 995 (58.4%))
    Age (years)
     <181347 (1.4)841 (2.1)506 (0.9)
     18–24764 (0.8)500 (1.3)264 (0.5)
     25–291000 (1.0)637 (1.6)363 (0.6)
     30–341622 (1.7)1065 (2.7)557 (1.0)
     35–392625 (2.7)1534 (3.9)1091 (1.9)
     40–445123 (5.3)2690 (6.8)2433 (4.3)
     45–4910 470 (10.9)4966 (12.5)5504 (9.8)
     50–5413 883 (14.5)6199 (15.6)7684 (13.7)
     55–5911 555 (12.1)5084 (12.8)6471 (11.6)
     60–6414 586 (15.2)5715 (14.4)8871 (15.8)
     65–6912 570 (13.1)4342 (10.9)8228 (14.7)
     70–748670 (9.0)2787 (7.0)5883 (10.5)
     75–795798 (6.1)1701 (4.3)4097 (7.3)
     80–843698 (3.9)1105 (2.8)2593 (4.6)
     85+2099 (2.2)649 (1.6)1450 (2.6)
  • Table 15

    Key performance indicators of ischaemic stroke from Chinese Stroke Center Alliance in 2018

    Key performance indicatorsRelative frequency% (95% CI)
    Acute performance measures
    Intravenous rtPA≤4.5 hours16 270/67 12224.2 (23.9% to 24.6%)
    Early antithrombotics223 740/264 34884.6 (84.5% to 84.8%)
    DVT prophylaxis35 321/83 60542.3 (41.9% to 42.6%)
    Discharge performance measures
     Antithrombotics229 080/261 59487.6 (87.4% to 87.7%)
     Anticoagulants for AF8448/19 28343.8 (43.1% to 44.5%)
     BP lowering for HTN130 477/202 91264.3 (64.1% to 64.5%)
     Glucose-lowering for hyperglycaemic59 039/75 33078.4 (78.1% to 78.7%)
     Statin for LDL238 145/266 76789.3 (89.2% to 89.4%)
    Additional quality measures
     Smoking cessation61 221/63 63096.2 (96.1% to 96.4%)
     Dysphagia screen214 407/269 42879.6 (79.4% to 79.7%)
     Rehabilitation202 787/269 42875.3 (75.1% to 75.4%)
    Summary performance measures
     Composite score0.77±0.21
     All-or-none measure73 017/269 42827.1 (26.9% to 27.3%)
    • AF, atrial fibrillation; BP, blood pressure; DVT, deep vein thrombosis; HTN, hypertension; LDL, low-density lipoprotein; rtPA, recombinant tissue plasminogen activator.

  • Table 16

    Key performance indicators of intracerebral haemorrhage from Chinese Stroke Center Alliance in 2018

    Key performance indicatorsRelative frequency% (95% CI)
    DVT prophylaxis6938/14 90246.6 (45.8% to 47.4%)
    BP lowering for HTN17 505/20 74884.4 (83.9% to 84.9%)
    Smoking cessation4354/464093.8 (93.1% to 94.5%)
    Dysphagia screen17 330/24 55670.6 (70.0% to 71.1%)
    Rehabilitation18 333/24 55674.7 (74.1% to 75.2%)
    Summary performance measures 
     Composite score0.72±0.28
     All-or-none9149/24 55637.3 (36.7% to 37.9%)
    • BP, blood pressure; DVR, deep vein thrombosis; HTN, hypertension.

  • Table 17

    Key performance indicators of subarachnoid haemorrhage from Chinese Stroke Center Alliance in 2018

    Key performance indicatorsRelative frequency% (95% CI)
    DVT prophylaxis752/194038.8 (36.6% to 40.9%)
    BP lowering for HTN1391/197570.4 (68.4% to 72.4%)
    Smoking cessation429/47091.3 (88.7% to 93.8%)
    Dysphagia screen1971/334359.0 (57.3% to 60.6%)
    Rehabilitation1995/334359.7 (58.0% to 61.3%)
    Summary performance measures
     Composite score0.59±0.32
     All-or-none847/334325.3 (23.9% to 26.8%)
    • BP, blood pressure; DVT, deep vein thrombosis; HTN, hypertension.

  • Table 18

    In-hospital outcomes of patients with stroke from the Hospital Quality Monitoring System in 2018

    VariablesTotal
    (n=3 010 204 (100%))
    IS
    (n=2 466 785(81.9%))
    ICH
    (n=447 609(14.9%))
    SAH
    (n=95 810 (3.2%))
    In-hospital outcomes    
     Unclear94 651 (3.1)72 501 (2.9)18 145 (4.1)4005 (4.2)
     Discharge2 629 861 (87.4)2 226 794 (90.3)332 929 (74.4)70 138 (73.2)
     Transfer35 663 (1.2)23 510 (1.0)9025 (2.0)3128 (3.3)
     DAMA/death250 029 (8.3)143 980 (5.8)87 510 (19.5)18 539 (19.4)
      DAMA206 921 (6.9)125 930 (5.1)66 457 (14.8)14 534 (15.2)
      Death43 108 (1.4)18 050 (0.7)21 053 (4.7)4005 (4.2)
    Length of stay    
     Mean±SD12.4±10.511.3±8.317.7±16.614.7±14.2
     Median (IQR)10.0 (7.0–14.0)10.0 (7.0–13.0)14.0 (8.0–22.0)12.0 (5.0–19.0)
    Total fee    
     Mean±SD18 555.2±29 893.913 675.7±18 167.634 071.1±44 760.271 696.4±75 216.5
     Median (IQR)10 213.5 (6547.5–17 271.9)9456.6 (6287.0–14 686.4)18 114.2 (9274.5–40 106.0)42 209.6 (11 739.6–116 403.0)
    Out of pocket    
     Mean±SD5765.0±16 395.94034.6±9848.310 980.4±25 195.725 951.4±48 698.2
     Median (IQR)1090.0 (0.0–5510.7)1004.7 (0.0–4826.2)1703.8 (0.0–11 007.8)2624.8 (0.0–29 138.7)
    • DAMA, discharge against medical advice.

  • Table 19

    In-hospital outcomes of patients with ischaemic stroke from the Hospital Quality Monitoring System in 2018 by sex

    VariablesTotal
    (n=2 466 785 (100%))
    Male
    (n=1 460 467 (59.2%))
    Female
    (n=1 006 318(40.8%))
    In-hospital outcomes   
     Unclear72 501 (2.9)43 879 (3.0)28 622 (2.8)
     Discharge2 226 794 (90.3)1 318 716 (90.3)908 078 (90.2)
     Transfer23 510 (1.0)13 975 (1.0)9535 (0.9)
     DAMA/death143 980 (5.8) 83 897 (5.7)60 083 (6.0)
      DAMA125 930 (5.1)73 438 (5.0)52 492 (5.2)
      Death18 050 (0.7)10 459 (0.7)7591 (0.8)
    Length of stay   
     Mean±SD11.3±8.311.5±8.511.0±8.0
     Median (IQR)10.0 (7.0–13.0)10.0 (7.0–14.0)10.0 (7.0–13.0)
    Total fee   
     Mean±SD13 675.7±18 167.614 349.4±19 456.112 698.0±16 065.1
     Median (IQR)9456.6 (6287.0–14 686.4)9779.2 (6492.2–15 245.3)9007.7 (6017.5–13 881.0)
    Out of pocket   
     Mean±SD4034.6±9848.34212.8±10 547.13775.9±8728.8
     Median (IQR)1004.7 (0.0–4826.2)958.0 (0.0–4928.7)1091.0 (0.0–4689.1)
    • DAMA, discharge against medical advice.

  • Table 20

    In-hospital outcomes of patients with intracerebral haemorrhage from the Hospital Quality Monitoring System in 2018 by sex

    VariablesTotal
    (n=447 609 (100%))
    Male
    (n=284 065 (63.5%))
    Female
    (n=163 544 (36.5%))
    In-hospital outcomes   
     Unclear18 145 (4.1)11 553 (4.1)6592 (4.0)
     Discharge332 929 (74.4)210 151 (74.0)122 778 (75.1)
     Transfer9025 (2.0)5854 (2.1)3171 (1.9)
     DAMA/death87 510 (19.5)56 507 (19.9)31 003 (18.9)
      DAMA66 457 (14.8)42 062 (14.8)24 395 (14.9)
      Death21 053 (4.7)14 445 (5.1)6608 (4.0)
    Length of stay   
     Mean±SD17.7±16.617.8±17.017.5±15.9
     Median (IQR)14.0 (8.0–22.0)14.0 (8.0–23.0)14.0 (8.0–22.0)
    Total fee   
     Mean±SD34 071.1±44 760.235 262.9±46 808.432 001.0±40 877.5
     Median (IQR)18 114.2 (9274.5–40 106.0)18 317.1 (9295.0–41 467.4)17 792.3 (9233.7–37 890.9)
    Out of pocket   
     Mean±SD10 980.4±25 195.711 329.7±26 102.710 373.6±23 525.0
     Median (IQR)1703.8 (0.0–11 007.8)1730.3 (0.0–11 178.3)1655.2 (0.0–10 753.5)
    • DAMA, discharge against medical advice.

  • Table 21

    In-hospital outcomes of patients with subarachnoid haemorhage from the Hospital Quality Monitoring System in 2018 by sex

    VariablesTotal
    (n=95 810 (100%))
    Male
    (n=39 815 (41.6%))
    Female
    (n=55 995 (58.4%))
    In-hospital outcomes   
     Unclear4005 (4.2)1679 (4.2)2326 (4.2)
     Discharge70 138 (73.2)29 276 (73.5)40 862 (73.0)
     Transfer3128 (3.3)1210 (3.0)1918 (3.4)
     DAMA/death18 539 (19.4)7650 (19.2)10 889 (19.4)
      DAMA14 534 (15.2)5897 (14.8)8637 (15.4)
      Death4005 (4.2)1753 (4.4)2252 (4.0)
    Length of stay   
     Mean±SD14.7±14.214.6±14.414.7±14.1
     Median (IQR)12.0 (5.0–19.0)12.0 (5.0–19.0)13.0 (5.0–19.0)
    Total fee   
     Mean±SD71 696.4±75 216.566 809.2±74 334.475 171.4±75 646.3
     Median (IQR)42 209.6 (11 739.6–116403.0)33 721.9 (10 857.4–107 940.0)50 550.0 (12 483.0–122 352.5)
    Out of pocket   
     Mean±SD25 951.4±48 698.224 607.7±47 861.626 906.9±49 262.6
     Median (IQR)2624.8 (0.0–29 138.7)2644.0 (0.0–25 907.8)2607.0 (0.0–32 100.0)
    • DAMA, discharge against medical advice.

  • Table 22

    In-hospital outcomes of patients with ischaemic stroke from the Hospital Quality Monitoring System in 2018 by insurance

    VariablesTotal
    (n=2 466 785 (100%))
    URBMI
    (n=932 502 (37.8%))
    UEBMI
    (n=563 963 (22.9%))
    NRCMS
    (n=379 973 (15.4%))
    Self-pay
    (n=229 797 (9.3%))
    Other
    (n=360 550 (14.6%))
    In-hospital outcomes      
     Unclear72 501 (2.9)18 386 (2.0)9292 (1.6)13 094 (3.4)5325 (2.3)26 404 (7.3)
     Discharge2 226 794 (90.3)865 202 (92.8)511 609 (90.7)333 905 (87.9)205 733 (89.5)310 345 (86.1)
     Transfer23 510 (1.0)7553 (0.8)6473 (1.1)4460 (1.2)1748 (0.8)3276 (0.9)
     DAMA/death143 980 (5.8)41 361 (4.5)36 589 (6.5)28 514 (7.5)16 991 (7.3)20 525 (5.7)
      DAMA125 930 (5.1)32 275 (3.5)33 708 (6.0)27 328 (7.2)14 815 (6.4)17 804 (4.9)
      Death18 050 (0.7)9086 (1.0)2881 (0.5)1186 (0.3)2176 (0.9)2721 (0.8)
    Length of stay      
     Mean±SD11.3±8.311.8±8.610.8±7.510.6±7.010.7±8.911.7±9.4
     Median (IQR)10.0 (7.0–13.0)10.0 (8.0–14.0)10.0 (7.0–13.0)10.0 (7.0–13.0)9.0 (6.0–13.0)10.0 (7.0–14.0)
    Total fee      
     Mean±SD13 675.7±18 167.614 403.4±18 780.213 154.4±16 494.812 313.2±15 499.114 610.3±20 919.013 449.4±19 595.7
     Median (IQR)9456.6 (6287.0–14 686.4)10 029.5 (6851.6–15 320.8)9321.1 (6206.1–14 369.0)8662.2 (5791.2–13 360.8)9672.4 (5997.0–15 522.3)8863.7 (5676.5–14 327.4)
    Out of pocket      
     Mean±SD4034.6±9848.33424.0±9100.73739.3±8158.14250.5±9046.36711.1±15 278.04142.2±10 223.8
     Median (IQR)1004.7 (0.0–4826.2)788.9 (0.0–3579.1)1136.1 (0.0–4892.0)1319.2 (0.0–5588.7)1538.2 (0.0–8757.3)1100.0 (0.0–5000.0)
    • DAMA, discharge against medical advice; UEBMI, urban employee basic medical insurance; URBMI, urban resident basic medical insurance.

  • Table 23

    In-hospital outcomes of patients with intracerebral haemorrhage from the Hospital Quality Monitoring System in 2018 by insurance

    VariablesTotal
    (n=447 609 (100%))
    URBMI
    (n=110 358 (24.7%))
    UEBMI
    (n=112 805 (25.2%))
    NRCMS
    (n=89 838 (20.1%))
    Self-pay
    (n=72 984 (16.3%))
    Other
    (n=61 624 (13.8%))
    In-hospital outcomes      
     Unclear18 145 (4.1)3285 (3.0)3039 (2.7)4579 (5.1)3003 (4.1)4239 (6.9)
     Discharge332 929 (74.4)84 996 (77.0)85 522 (75.8)66 474 (74.0)52 351 (71.7)43 586 (70.7)
     Transfer9025 (2.0)2142 (1.9)2544 (2.3)1883 (2.1)1225 (1.7)1231 (2.0)
     DAMA/death87 510 (19.5)19 935 (18.1)21 700 (19.2)16 902 (18.8)16 405 (22.5)12 568 (20.4)
      DAMA66 457 (14.8)11 592 (10.5)18 045 (16.0)15 198 (16.9)12 325 (16.9)9297 (15.1)
      Death21 053 (4.7)8343 (7.6)3655 (3.2)1704 (1.9)4080 (5.6)3271 (5.3)
    Length of stay      
     Mean±SD17.7±16.619.8±18.417.5±15.716.9±15.215.4±15.617.9±17.4
     Median (IQR)14.0 (8.0–22.0)15.0 (9.0–24.0)14.0 (8.0–22.0)14.0 (7.0–22.0)12.0 (5.0–20.0)14.0 (7.0–23.0)
    Total fee      
     Mean±SD34 071.1±44 760.239 562.8±52 449.231 952.4±40 252.530 908.3±38 416.632 816.8±42 964.634 211.1±47 366.7
     Median (IQR)18 114.2 (9274.5–40 106.0)20 319.9 (10 849.9–45 746.2)17 606.5 (9252.0–37 643.0)17 159.0 (8907.0–37 146.4)17 161.5 (7980.1–40 204.0)17 829.6 (8647.3–39 803.6)
    Out of pocket      
     Mean±SD10 980.4±25 195.710 231.0±25 911.08594.7±19 318.010 993.7±23 503.015 571.7±31 361.611 232.4±26 814.8
     Median (IQR)1703.8 (0.0–11 007.8)1789.7 (0.0–9241.1)1133.2 (0.0–9336.3)2176.3 (0.0–11 605.0)2571.0 (0.0–16 693.1)1111.6 (0.0–11 165.2)
    • DAMA, discharge against medical advice; UEBMI, urban employee basic medical insurance; URBMI, urban resident basic medical insurance.

  • Table 24

    In-hospital outcomes of patients with subarachnoid haemorrhage from the Hospital Quality Monitoring System in 2018 by insurance

    VariablesTotal
    (n=95 810 (100%))
    URBMI
    (n=21 032 (22.0%))
    UEBMI
    (n=22 745 (23.7%))
    NRCMS
    (n=19 550 (20.4%))
    Self-pay
    (n=18 537 (19.3%))
    Other
    (n=13 946 (14.6%))
    In-hospital outcomes      
     Unclear4005 (4.2)682 (3.2)810 (3.6)991 (5.1)762 (4.1)760 (5.4)
     Discharge70 138 (73.2)15 793 (75.1)16 554 (72.8)14 056 (71.9)13 541 (73.0)10 194 (73.1)
     Transfer3128 (3.3)604 (2.9)790 (3.5)709 (3.6)532 (2.9)493 (3.5)
     DAMA/death18 539 (19.4)3953 (18.8)4591 (20.1)3794 (19.4)3702 (20.0)2499 (17.9)
      DAMA14 534 (15.2)2383 (11.3)3898 (17.1)3417 (17.5)2965 (16.0)1871 (13.4)
      Death4005 (4.2)1570 (7.5)693 (3.0)377 (1.9)737 (4.0)628 (4.5)
    Length of stay      
     Mean±SD14.7±14.216.3±15.915.2±14.014.0±13.112.7±13.014.7±14.6
     Median (IQR)12.0 (5.0–19.0)13.0 (7.0–21.0)13.0 (5.0–20.0)12.0 (5.0–19.0)10.0 (3.0–17.0)12.0 (5.0–19.0)
    Total fee      
     Mean±SD71 696.4±75 216.581 013.7±83 464.771 201.1±72 076.769 499.2±71 081.863 627.2±69 663.072 258.4±78 307.1
     Median (IQR)42 209.6 (11 739.6–116403.0)50 979.9 (14 659.4–129647.8)44 732.7 (12 527.5–115641.5)41 154.8 (11 503.8–114094.1)31 431.9 (8915.4–107171.6)43 232.1 (11 105.2–113725.8)
    Out of pocket      
     Mean±SD25 951.4±48 698.224 882.1±48 723.021 512.9±39 577.727 276.7±49 768.831 104.1±55 461.326 096.3±50 258.8
     Median (IQR)2624.8 (0.0–29 138.7)2784.0 (0.0–28 030.3)2384.1 (0.0–25 701.2)2635.7 (0.0–30 257.5)3432.3 (0.0–34 795.2)1921.3 (0.0–31 379.9)
    • DAMA, discharge against medical advice; NRCMS, new rural cooperative medical schema; UEBMI, urban employee basic medical insurance; URBMI, urban resident basic medical insurance.

  • Table 25

    In-hospital outcomes of patients with ischaemic stroke from the Hospital Quality Monitoring System in 2018 by admission day

    VariablesTotal
    (n=2 466 785 (100%))
    Weekdays
    (n=1 928 908 (78.2%))
    Weekend
    (n=537 877 (21.8%))
    In-hospital outcomes   
     Unclear72 501 (2.9)56 460 (2.9)16 041 (3.0)
     Discharge2 226 794 (90.3)1 746 541 (90.5)480 253 (89.3)
     Transfer23 510 (1.0)17 942 (0.9)5568 (1.0)
     DAMA/death143 980 (5.8)107 965 (5.6)36 015 (6.7)
      DAMA125 930 (5.1)94 566 (4.9)31 364 (5.8)
      Death18 050 (0.7)13 399 (0.7)4651 (0.9)
    Length of stay   
     Mean±SD11.3±8.311.3±8.311.2±8.2
     Median (IQR)10.0 (7.0–13.0)10.0 (7.0–14.0)10.0 (7.0–13.0)
    Total fee   
     Mean±SD13 675.7±18 167.613 586.5±18 036.613 995.8±18 626.0
     Median (IQR)94 56.6 (6287.0–14 686.4)9407.3 (6267.8–14 592.3)9637.7 (6361.6–15 030.5)
    Out of pocket   
     Mean±SD4034.6±9848.34001.6±9767.24153.0±10 133.1
     Median (IQR)1004.7 (0.0–4826.2)993.5 (0.0–4776.9)1090.7 (0.0–4993.8)
    • DAMA, discharge against medical advice.

  • Table 26

    In-hospital outcomes of patients with intracerebral haemorrhage from the Hospital Quality Monitoring System in 2018 by admission day

    VariablesTotal
    (n=447 609 (100%))
    Weekdays
    (n=330 517 (73.8%))
    Weekend
    (n=117 092 (26.2%))
    In-hospital outcomes   
     Unclear18 145 (4.1)13 302 (4.0)4843 (4.1)
     Discharge332 929 (74.4)247 509 (74.9)85 420 (73.0)
     Transfer9025 (2.0)6608 (2.0)2417 (2.1)
     DAMA/death87 510 (19.5)63 098 (19.1)24 412 (20.8)
      DAMA66 457 (14.8)47 945 (14.5)18 512 (15.8)
      Death21 053 (4.7)15 153 (4.6)5900 (5.0)
    Length of stay   
     Mean±SD17.7±16.617.7±16.617.5±16.5
     Median (IQR)14.0 (8.0–22.0)14.0 (8.0–22.0)14.0 (7.0–23.0)
    Total fee   
     Mean±SD34 071.1±44 760.233 861.7±44 754.334 662.1±44 771.8
     Median (IQR)18 114.2 (9274.5–40 106.0)17 974.0 (9246.1–39 679.7)18 550.7 (9355.4–41 345.0)
    Out of pocket   
     Mean±SD10 980.4±25 195.710 885.0±25 056.211 249.6±25 583.4
     Median (IQR)1703.8 (0.0–11 007.8)1673.0 (0.0–10 916.6)1790.2 (0.0–11 272.2)
    • DAMA, discharge against medical advice.

  • Table 27

    In-hospital outcomes of patients with subarachnoid haemorrhagefrom the Hospital Quality Monitoring System in 2018 by admission day

    VariablesTotal
    (n=95 810 (100%))
    Weekdays
    (n=70 247 (73.3%))
    Weekend
    (n=25 563 (26.7%))
    In-hospital outcomes   
     Unclear4005 (4.2)2949 (4.2)1056 (4.1)
     Discharge70 138 (73.2)51 686 (73.6)18 452 (72.2)
     Transfer3128 (3.3)2303 (3.3)825 (3.2)
     DAMA/death18 539 (19.4)13 309 (18.9)5230 (20.4)
      DAMA14 534 (15.2)10 413 (14.8)4121 (16.1)
      Death4005 (4.2)2896 (4.1)1109 (4.3)
    Length of stay   
     Mean±SD14.7±14.214.7±14.214.6±14.3
     Median (IQR)12.0 (5.0–19.0)13.0 (5.0–19.0)12.0 (5.0–19.0)
    Total fee   
     Mean±SD71 696.4±75 216.571 390.9±74 985.172 536.0±75 843.9
     Median (IQR)42 209.6 (11 739.6–116 403.0)41 698.9 (11 721.4–11 5905.7)43 489.2 (11 801.6–11 7909.9)
    Out of pocket   
     Mean±SD25 951.4±48 698.225 661.8±48 358.426 747.2±49 612.4
     Median (IQR)2624.8 (0.0–29 138.7)2565.4 (0.0–28 462.2)2795.4 (0.0–31 122.6)
    • DAMA, discharge against medical advice.

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China Stroke Statistics 2019: A Report From the National Center for Healthcare Quality Management in Neurological Diseases, China National Clinical Research Center for Neurological Diseases, the Chinese Stroke Association, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention and Institute for Global Neuroscience and Stroke Collaborations
Yong-Jun Wang, Zi-Xiao Li, Hong-Qiu Gu, Yi Zhai, Yong Jiang, Xing-Quan Zhao, Yi-Long Wang, Xin Yang, Chun-Juan Wang, Xia Meng, Hao Li, Li-Ping Liu, Jing Jing, Jing Wu, An-Ding Xu, Qiang Dong, David Wang, Ji-Zong Zhao
Stroke and Vascular Neurology Sep 2020, 5 (3) 211-239; DOI: 10.1136/svn-2020-000457

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China Stroke Statistics 2019: A Report From the National Center for Healthcare Quality Management in Neurological Diseases, China National Clinical Research Center for Neurological Diseases, the Chinese Stroke Association, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention and Institute for Global Neuroscience and Stroke Collaborations
Yong-Jun Wang, Zi-Xiao Li, Hong-Qiu Gu, Yi Zhai, Yong Jiang, Xing-Quan Zhao, Yi-Long Wang, Xin Yang, Chun-Juan Wang, Xia Meng, Hao Li, Li-Ping Liu, Jing Jing, Jing Wu, An-Ding Xu, Qiang Dong, David Wang, Ji-Zong Zhao
Stroke and Vascular Neurology Sep 2020, 5 (3) 211-239; DOI: 10.1136/svn-2020-000457
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China Stroke Statistics 2019: A Report From the National Center for Healthcare Quality Management in Neurological Diseases, China National Clinical Research Center for Neurological Diseases, the Chinese Stroke Association, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention and Institute for Global Neuroscience and Stroke Collaborations
Yong-Jun Wang, Zi-Xiao Li, Hong-Qiu Gu, Yi Zhai, Yong Jiang, Xing-Quan Zhao, Yi-Long Wang, Xin Yang, Chun-Juan Wang, Xia Meng, Hao Li, Li-Ping Liu, Jing Jing, Jing Wu, An-Ding Xu, Qiang Dong, David Wang, Ji-Zong Zhao
Stroke and Vascular Neurology Sep 2020, 5 (3) 211-239; DOI: 10.1136/svn-2020-000457
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  • China Stroke Statistics: an update on the 2019 report from the National Center for Healthcare Quality Management in Neurological Diseases, China National Clinical Research Center for Neurological Diseases, the Chinese Stroke Association, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention and Institute for Global Neuroscience and Stroke Collaborations
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