<clinical_study>
  <!-- This xml conforms to an XML Schema at:
    https://clinicaltrials.gov/ct2/html/images/info/public.xsd -->
  <required_header>
    <download_date>ClinicalTrials.gov processed this data on September 20, 2023</download_date>
    <link_text>Link to the current ClinicalTrials.gov record.</link_text>
    <url>https://clinicaltrials.gov/ct2/show/NCT04409210</url>
  </required_header>
  <id_info>
    <org_study_id>NFEC-2020-072</org_study_id>
    <nct_id>NCT04409210</nct_id>
  </id_info>
  <brief_title>Cardio-Cerebrovascular Co-Prevention and Co-Management Based on Internet+</brief_title>
  <acronym>DEMO-CoCo</acronym>
  <official_title>Development, Demonstration and Evaluation of Model of Cardiovascular and Cerebrovascular &quot;Co-Prevention and Co-Management&quot; Based on Internet+</official_title>
  <sponsors>
    <lead_sponsor>
      <agency>Nanfang Hospital, Southern Medical University</agency>
      <agency_class>Other</agency_class>
    </lead_sponsor>
    <collaborator>
      <agency>The Seventh Affiliated Hospital, Southern Medical University</agency>
      <agency_class>Other</agency_class>
    </collaborator>
  </sponsors>
  <source>Nanfang Hospital, Southern Medical University</source>
  <oversight_info>
    <has_dmc>No</has_dmc>
    <is_fda_regulated_drug>No</is_fda_regulated_drug>
    <is_fda_regulated_device>No</is_fda_regulated_device>
  </oversight_info>
  <brief_summary>
    <textblock>
      Coronary heart disease and stroke are belong to the atherosclerotic vascular disease (ASCVD).&#xD;
      When both occur at the same time, the mortality rate is 19%-37%. Especially when ischemic&#xD;
      stroke occurs in patients with acute myocardial infarction, the mortality rate is as high as&#xD;
      36.5%. At present, there is a lack of co-management for the cardio-cerebrovascular diseases.&#xD;
      Some studies have explored the disease management based on Internet +, but there are still&#xD;
      challenges in personalized management and improving adherence. Based on Internet + 's&#xD;
      &quot;co-prevention and co-management&quot; model of cardio-cerebrovascular diseases, this study plans&#xD;
      to provide personalized intervention by smartphone App to improve the patients'&#xD;
      self-management, in order to reduce the incidence and mortality of atherosclerotic&#xD;
      cardio-cerebrovascular events in the high-risk population of cardio-cerebrovascular diseases.&#xD;
    </textblock>
  </brief_summary>
  <detailed_description>
    <textblock>
      The open label, cluster randomized, controlled clinical trial to evaluate the efficacy of&#xD;
      smartphone App in the management of the high-risk population of cardio-cerebrovascular&#xD;
      diseases. The trial with 2 main objectives: (1) to provide personalized intervention by&#xD;
      smartphone App to improve the patients' self-management at least 6 months and (2) to&#xD;
      determine whether the &quot;co-prevention and co-management&quot; model based on Internet + for at&#xD;
      least 3 years is superior to routine management model at least 3 years on the outcomes of the&#xD;
      incidence and mortality of atherosclerotic cardio-cerebrovascular events in the high-risk&#xD;
      population of cardio-cerebrovascular diseases.&#xD;
&#xD;
      The trial plans to enroll around 8840 patients in four family physician teams. The four teams&#xD;
      will be randomly assigned at 1:1 to the intervention group or the control group. Patients are&#xD;
      assigned related group according to their family physician. All patients need to complete the&#xD;
      questionnaire and clinical examination. Family physicians and patients in the intervention&#xD;
      group need to use the smartphone App of this study, doctors use App to provide personalized&#xD;
      health education, risk assessment, follow-up and reminders to patients. At the same time,&#xD;
      patients could upload self-test data (such as blood pressure, blood glucose, heart rate and&#xD;
      weight) and medical institution examination data (such as blood lipids, ECG,&#xD;
      echocardiography, etc.) through App, while receiving routine treatment. Patients in the&#xD;
      control group just receive routine treatment and routine management.&#xD;
    </textblock>
  </detailed_description>
  <overall_status>Not yet recruiting</overall_status>
  <start_date type="Anticipated">May 20, 2020</start_date>
  <completion_date type="Anticipated">December 31, 2023</completion_date>
  <primary_completion_date type="Anticipated">December 31, 2023</primary_completion_date>
  <phase>N/A</phase>
  <study_type>Interventional</study_type>
  <has_expanded_access>No</has_expanded_access>
  <study_design_info>
    <allocation>Randomized</allocation>
    <intervention_model>Parallel Assignment</intervention_model>
    <intervention_model_description>Randomization will be performed using a computerized randomization program in a uniform 1:1 allocation ratio for the family physician teams. Patients managed by the same family physician team will be assigned to the same group.</intervention_model_description>
    <primary_purpose>Health Services Research</primary_purpose>
    <masking>None (Open Label)</masking>
  </study_design_info>
  <primary_outcome>
    <measure>Rate of Atherosclerotic Cardio-cerebrovascular Events</measure>
    <time_frame>3 years</time_frame>
    <description>Atherosclerotic Cardio-cerebrovascular Event is defined as nonfatal acute myocardial infarction or coronary heart disease death or fatal or nonfatal stroke.</description>
  </primary_outcome>
  <secondary_outcome>
    <measure>Number of New Acquired High Risk Factors of Cardiovascular and Cerebrovascular Diseases.</measure>
    <time_frame>3 years</time_frame>
    <description>Such as hypertension, type 2 diabetes and dyslipidemia and so on.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Number of Subjects with Major Adverse Cardiovascular Events.</measure>
    <time_frame>3 years</time_frame>
    <description>All-cause mortality, acute heart failure, recurrent myocardial infarction, cardiac death and cerebrovascular death.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Health-related Quality of Life</measure>
    <time_frame>6 months</time_frame>
    <description>Health-related quality of life will be measured by EuroQol- 5 Dimension (EQ-5D) scale.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Medication Adherence</measure>
    <time_frame>6 months</time_frame>
    <description>It will be measured by the eight-item Morisky Medication Adherence Scale (MMAS-8).</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Number of Subjects with New-onset Atrial Fibrillation or Atrial Flutter</measure>
    <time_frame>3 years</time_frame>
    <description>Atrial fibrillation or atrial flutter diagnosed by electrocardiogram during follow-up.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Number of Subjects with Peripheral artery disease</measure>
    <time_frame>3 years</time_frame>
    <description>Including aortic dissection, aortic aneurysm, and significant stenosis of carotid or other peripheral arteries requiring revascularization.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Dementia or mild cognitive impairment</measure>
    <time_frame>3 years</time_frame>
    <description>Dementia is defined as acquired cognitive decline or mental and behavioral abnormalities that affect work ability or daily life, and cannot be explained by delirium or other mental disorders.&#xD;
Mild cognitive impairment mainly includes the following four indicators:&#xD;
1) cognitive impairment was reported by patients or insiders, or by experienced physicians; 2) objective evidence of impairment of one or more cognitive domains (from cognitive tests); 3) the complex instrumental ability of daily life can be slightly impaired, but the ability of daily living can be maintained independently; and 4) the diagnosis of dementia has not been reached.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Consumption of Medical Resources</measure>
    <time_frame>3 years</time_frame>
    <description>The incremental cost-effectiveness ratio of the two groups was calculated to compare the cost-effectiveness of the intervention group and the control group.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Newly diagnosed malignant tumor</measure>
    <time_frame>3 years</time_frame>
    <description>Malignant tumors confirmed by pathology during follow-up.</description>
  </secondary_outcome>
  <number_of_arms>2</number_of_arms>
  <enrollment type="Anticipated">8840</enrollment>
  <condition>Cardiovascular Diseases</condition>
  <condition>Myocardial Ischemia</condition>
  <condition>Cerebrovascular Disorders</condition>
  <condition>Stroke</condition>
  <condition>Internet-Based Intervention</condition>
  <arm_group>
    <arm_group_label>Intervention Group</arm_group_label>
    <arm_group_type>Experimental</arm_group_type>
    <description>The intervention group will receive establishment of individual health records, cardiovascular risk assessment, popularization of medical knowledge, personalized reminders and routine treatment.</description>
  </arm_group>
  <arm_group>
    <arm_group_label>Control Group</arm_group_label>
    <arm_group_type>Other</arm_group_type>
    <description>The control group just receive routine treatment and routine management.</description>
  </arm_group>
  <intervention>
    <intervention_type>Behavioral</intervention_type>
    <intervention_name>Establishment of individual health records</intervention_name>
    <description>Patients could upload self-test data (such as blood pressure, blood glucose, heart rate and weight) and medical institution examination data (such as blood lipids, ECG, echocardiography, etc.) through App. AND then the App can automatically generate health reports to reflect the dynamic changes of the data in the form of charts and whether the data is normal or not. It is convenient for patients to have a clear understanding of their health management, and if there are outliers, they can intervene in time.</description>
    <arm_group_label>Intervention Group</arm_group_label>
    <other_name>Establishment</other_name>
  </intervention>
  <intervention>
    <intervention_type>Behavioral</intervention_type>
    <intervention_name>Cardiovascular risk assessment</intervention_name>
    <description>The China-PAR risk prediction tool can be used to stratify the 10-years atherosclerotic cardiovascular disease (ASCVD) risk. Those with predicted risks of &lt;5%, 5-10%, and ≥10% could be classified into categories of low-, moderate-, and high-risk for ASCVD, respectively. It is a risk prediction tool for Chinese developed by the team of Professor Gu Dongfeng of Fuwai Hospital of the Chinese Academy of Medical Sciences. When patients are aware of their risk of cardio-cerebrovascular diseases, it is helpful for patients to take the initiative to manage their cardio-cerebrovascular health.</description>
    <arm_group_label>Intervention Group</arm_group_label>
    <other_name>Assessment</other_name>
  </intervention>
  <intervention>
    <intervention_type>Behavioral</intervention_type>
    <intervention_name>Popularization of medical knowledge</intervention_name>
    <description>Health education is divided into nine modules, such as introduction of cardio-cerebrovascular diseases, diet, exercise, sleep, psychology, medicine, cardiopulmonary resuscitation and cardiac self-rescue technology. The presentation of health education includes three modules: text, video and voice. Video and voice modules are more suitable for illiterates or people are inconvenient to read text. It mainly takes into account the fact that most of the high-risk population of cardio-cerebrovascular diseases are the elderly.</description>
    <arm_group_label>Intervention Group</arm_group_label>
    <other_name>Popularization</other_name>
  </intervention>
  <intervention>
    <intervention_type>Behavioral</intervention_type>
    <intervention_name>Personalized Reminders</intervention_name>
    <description>Abnormal data reminder App can automatically judge whether the data is normal. If abnormal data is found, it will inform the patient in red font and remind the patient to consult the doctor in time. Patients can consult their family doctors directly online through App or go to the hospital.&#xD;
Medication reminder After patients upload their own medication information, the App will automatically generate a medication alarm clock to remind patients to take the drugs.&#xD;
Follow-up reminder According to the clinical diagnosis and conditions of patients, make personalized follow-up time. Family physicians could use the App to remind patients to fill in the follow-up form or go to the hospital.</description>
    <arm_group_label>Intervention Group</arm_group_label>
    <other_name>Reminder</other_name>
  </intervention>
  <intervention>
    <intervention_type>Drug</intervention_type>
    <intervention_name>Routine treatment</intervention_name>
    <description>Family physicians conduct the corresponding treatment and management according to the diagnosis and conditions of the patients.</description>
    <arm_group_label>Control Group</arm_group_label>
    <arm_group_label>Intervention Group</arm_group_label>
    <other_name>Treatment</other_name>
  </intervention>
  <eligibility>
    <criteria>
      <textblock>
        Inclusion Criteria:&#xD;
&#xD;
        Family physician teams:&#xD;
&#xD;
          1. The number of residents served is more than 30,000;&#xD;
&#xD;
          2. The proportion of high-risk population of cardio-cerebrovascular diseases is more than&#xD;
             8%;&#xD;
&#xD;
          3. manage the health records of residents;&#xD;
&#xD;
          4. have a health examination for the residents once a year;&#xD;
&#xD;
          5. Family doctors have smartphones.&#xD;
&#xD;
        Participants:&#xD;
&#xD;
          1. Aged ≥18 years;&#xD;
&#xD;
          2. Meet any of the following indicators:&#xD;
&#xD;
        1) LDL-C&gt;4.9mmol/L or TC&gt;7.2mmol/L; 2) Diabetic patients (age &gt;40 years old):&#xD;
        1.8mmol/L≤LDL-C&lt;4.9mmol/L（or）3.1mmol/L≤TC&lt;7.2mmol/L; 3) The predicted risks measured by&#xD;
        China-PAR model of ≥10%; 4) Patients with predicted risks measured by China-PAR model of&#xD;
        ≥5% and &lt;10%, and meet with two or more risk factors as following:&#xD;
&#xD;
          1. Systolic Blood Pressure ≥ 160mmHg or Diastolic Blood Pressure ≥ 100mmHg,&#xD;
&#xD;
          2. BMI≥28kg/m2,&#xD;
&#xD;
          3. Non- HDL-C≥5.2mmol/L,&#xD;
&#xD;
          4. Smoking,&#xD;
&#xD;
          5. HDL-C&lt;1.0mmol/L. (3) Local permanent residents (more than 5 years); (4) No severe&#xD;
             physical disability, clear consciousness and normal communication; (5) The&#xD;
             participants in the intervention group or their families have smartphones; (6) Disease&#xD;
             and death are under the management of the local health department; (7) Sign the&#xD;
             informed consent form voluntarily.&#xD;
&#xD;
        Exclusion Criteria:&#xD;
&#xD;
        Family physician teams:&#xD;
&#xD;
          1. The establishment of residents' health records is incomplete;&#xD;
&#xD;
          2. The main population served are temporary residents and floating population.&#xD;
&#xD;
        Participants:&#xD;
&#xD;
          1. Temporary residents and floating population;&#xD;
&#xD;
          2. Those who have serious health conditions and are unable to participate in this study;&#xD;
&#xD;
          3. Those who are unwilling to accept the follow-up inspection;&#xD;
&#xD;
          4. According to the judgment of the researchers, it is not suitable to participate.&#xD;
      </textblock>
    </criteria>
    <gender>All</gender>
    <minimum_age>18 Years</minimum_age>
    <maximum_age>N/A</maximum_age>
    <healthy_volunteers>No</healthy_volunteers>
  </eligibility>
  <overall_official>
    <last_name>Jiancheng Xiu, MD</last_name>
    <role>Study Chair</role>
    <affiliation>Department of Cardiology, Nanfang Hospital, Southern Medical University</affiliation>
  </overall_official>
  <overall_contact>
    <last_name>Jiancheng Xiu, MD</last_name>
    <phone>86-13903064940</phone>
    <email>xiujc@126.com</email>
  </overall_contact>
  <location>
    <facility>
      <name>Nanfang Hospital, Southern Medical University</name>
      <address>
        <city>Guangzhou</city>
        <state>Guangdong</state>
        <zip>510515</zip>
        <country>China</country>
      </address>
    </facility>
  </location>
  <location_countries>
    <country>China</country>
  </location_countries>
  <verification_date>May 2020</verification_date>
  <study_first_submitted>May 27, 2020</study_first_submitted>
  <study_first_submitted_qc>May 27, 2020</study_first_submitted_qc>
  <study_first_posted type="Actual">June 1, 2020</study_first_posted>
  <last_update_submitted>May 27, 2020</last_update_submitted>
  <last_update_submitted_qc>May 27, 2020</last_update_submitted_qc>
  <last_update_posted type="Actual">June 1, 2020</last_update_posted>
  <responsible_party>
    <responsible_party_type>Sponsor</responsible_party_type>
  </responsible_party>
  <condition_browse>
    <!-- CAUTION:  The following MeSH terms are assigned with an imperfect algorithm            -->
    <mesh_term>Cerebrovascular Disorders</mesh_term>
    <mesh_term>Cardiovascular Diseases</mesh_term>
    <mesh_term>Myocardial Ischemia</mesh_term>
    <mesh_term>Ischemia</mesh_term>
  </condition_browse>
  <patient_data>
    <sharing_ipd>No</sharing_ipd>
  </patient_data>
  <!-- Results have not yet been posted for this study                                          -->
</clinical_study>


download date: ClinicalTrials.gov processed this data on September 20, 2023
link text: Link to the current ClinicalTrials.gov record.
url: https://clinicaltrials.gov/ct2/show/NCT04409210
org study id: NFEC-2020-072
nct id: NCT04409210
lead sponsor: 
collaborator: 
has dmc: No
is fda regulated drug: No
is fda regulated device: No
Coronary heart disease and stroke are belong to the atherosclerotic vascular disease (ASCVD).
      When both occur at the same time, the mortality rate is 19%-37%. Especially when ischemic
      stroke occurs in patients with acute myocardial infarction, the mortality rate is as high as
      36.5%. At present, there is a lack of co-management for the cardio-cerebrovascular diseases.
      Some studies have explored the disease management based on Internet +, but there are still
      challenges in personalized management and improving adherence. Based on Internet + 's
      "co-prevention and co-management" model of cardio-cerebrovascular diseases, this study plans
      to provide personalized intervention by smartphone App to improve the patients'
      self-management, in order to reduce the incidence and mortality of atherosclerotic
      cardio-cerebrovascular events in the high-risk population of cardio-cerebrovascular diseases.
The open label, cluster randomized, controlled clinical trial to evaluate the efficacy of
      smartphone App in the management of the high-risk population of cardio-cerebrovascular
      diseases. The trial with 2 main objectives: (1) to provide personalized intervention by
      smartphone App to improve the patients' self-management at least 6 months and (2) to
      determine whether the "co-prevention and co-management" model based on Internet + for at
      least 3 years is superior to routine management model at least 3 years on the outcomes of the
      incidence and mortality of atherosclerotic cardio-cerebrovascular events in the high-risk
      population of cardio-cerebrovascular diseases.

      The trial plans to enroll around 8840 patients in four family physician teams. The four teams
      will be randomly assigned at 1:1 to the intervention group or the control group. Patients are
      assigned related group according to their family physician. All patients need to complete the
      questionnaire and clinical examination. Family physicians and patients in the intervention
      group need to use the smartphone App of this study, doctors use App to provide personalized
      health education, risk assessment, follow-up and reminders to patients. At the same time,
      patients could upload self-test data (such as blood pressure, blood glucose, heart rate and
      weight) and medical institution examination data (such as blood lipids, ECG,
      echocardiography, etc.) through App, while receiving routine treatment. Patients in the
      control group just receive routine treatment and routine management.
allocation: Randomized
intervention model: Parallel Assignment
intervention model description: Randomization will be performed using a computerized randomization program in a uniform 1:1 allocation ratio for the family physician teams. Patients managed by the same family physician team will be assigned to the same group.
primary purpose: Health Services Research
masking: None (Open Label)
measure: Rate of Atherosclerotic Cardio-cerebrovascular Events
time frame: 3 years
description: Atherosclerotic Cardio-cerebrovascular Event is defined as nonfatal acute myocardial infarction or coronary heart disease death or fatal or nonfatal stroke.
measure: Number of New Acquired High Risk Factors of Cardiovascular and Cerebrovascular Diseases.
time frame: 3 years
description: Such as hypertension, type 2 diabetes and dyslipidemia and so on.
measure: Number of Subjects with Major Adverse Cardiovascular Events.
time frame: 3 years
description: All-cause mortality, acute heart failure, recurrent myocardial infarction, cardiac death and cerebrovascular death.
measure: Health-related Quality of Life
time frame: 6 months
description: Health-related quality of life will be measured by EuroQol- 5 Dimension (EQ-5D) scale.
measure: Medication Adherence
time frame: 6 months
description: It will be measured by the eight-item Morisky Medication Adherence Scale (MMAS-8).
measure: Number of Subjects with New-onset Atrial Fibrillation or Atrial Flutter
time frame: 3 years
description: Atrial fibrillation or atrial flutter diagnosed by electrocardiogram during follow-up.
measure: Number of Subjects with Peripheral artery disease
time frame: 3 years
description: Including aortic dissection, aortic aneurysm, and significant stenosis of carotid or other peripheral arteries requiring revascularization.
measure: Dementia or mild cognitive impairment
time frame: 3 years
description: Dementia is defined as acquired cognitive decline or mental and behavioral abnormalities that affect work ability or daily life, and cannot be explained by delirium or other mental disorders.
Mild cognitive impairment mainly includes the following four indicators:
1) cognitive impairment was reported by patients or insiders, or by experienced physicians; 2) objective evidence of impairment of one or more cognitive domains (from cognitive tests); 3) the complex instrumental ability of daily life can be slightly impaired, but the ability of daily living can be maintained independently; and 4) the diagnosis of dementia has not been reached.
measure: Consumption of Medical Resources
time frame: 3 years
description: The incremental cost-effectiveness ratio of the two groups was calculated to compare the cost-effectiveness of the intervention group and the control group.
measure: Newly diagnosed malignant tumor
time frame: 3 years
description: Malignant tumors confirmed by pathology during follow-up.
arm group label: Intervention Group
arm group type: Experimental
description: The intervention group will receive establishment of individual health records, cardiovascular risk assessment, popularization of medical knowledge, personalized reminders and routine treatment.
arm group label: Control Group
arm group type: Other
description: The control group just receive routine treatment and routine management.
intervention type: Behavioral
intervention name: Establishment of individual health records
description: Patients could upload self-test data (such as blood pressure, blood glucose, heart rate and weight) and medical institution examination data (such as blood lipids, ECG, echocardiography, etc.) through App. AND then the App can automatically generate health reports to reflect the dynamic changes of the data in the form of charts and whether the data is normal or not. It is convenient for patients to have a clear understanding of their health management, and if there are outliers, they can intervene in time.
arm group label: Intervention Group
other name: Establishment
intervention type: Behavioral
intervention name: Cardiovascular risk assessment
description: The China-PAR risk prediction tool can be used to stratify the 10-years atherosclerotic cardiovascular disease (ASCVD) risk. Those with predicted risks of <5%, 5-10%, and ≥10% could be classified into categories of low-, moderate-, and high-risk for ASCVD, respectively. It is a risk prediction tool for Chinese developed by the team of Professor Gu Dongfeng of Fuwai Hospital of the Chinese Academy of Medical Sciences. When patients are aware of their risk of cardio-cerebrovascular diseases, it is helpful for patients to take the initiative to manage their cardio-cerebrovascular health.
arm group label: Intervention Group
other name: Assessment
intervention type: Behavioral
intervention name: Popularization of medical knowledge
description: Health education is divided into nine modules, such as introduction of cardio-cerebrovascular diseases, diet, exercise, sleep, psychology, medicine, cardiopulmonary resuscitation and cardiac self-rescue technology. The presentation of health education includes three modules: text, video and voice. Video and voice modules are more suitable for illiterates or people are inconvenient to read text. It mainly takes into account the fact that most of the high-risk population of cardio-cerebrovascular diseases are the elderly.
arm group label: Intervention Group
other name: Popularization
intervention type: Behavioral
intervention name: Personalized Reminders
description: Abnormal data reminder App can automatically judge whether the data is normal. If abnormal data is found, it will inform the patient in red font and remind the patient to consult the doctor in time. Patients can consult their family doctors directly online through App or go to the hospital.
Medication reminder After patients upload their own medication information, the App will automatically generate a medication alarm clock to remind patients to take the drugs.
Follow-up reminder According to the clinical diagnosis and conditions of patients, make personalized follow-up time. Family physicians could use the App to remind patients to fill in the follow-up form or go to the hospital.
arm group label: Intervention Group
other name: Reminder
intervention type: Drug
intervention name: Routine treatment
description: Family physicians conduct the corresponding treatment and management according to the diagnosis and conditions of the patients.
arm group label: Control Group
arm group label: Intervention Group
other name: Treatment
criteria: 
gender: All
minimum age: 18 Years
maximum age: N/A
healthy volunteers: No
last name: Jiancheng Xiu, MD
role: Study Chair
affiliation: Department of Cardiology, Nanfang Hospital, Southern Medical University
last name: Jiancheng Xiu, MD
phone: 86-13903064940
email: xiujc@126.com
facility: 
country: China
responsible party type: Sponsor
mesh term: Cerebrovascular Disorders
mesh term: Cardiovascular Diseases
mesh term: Myocardial Ischemia
mesh term: Ischemia
sharing ipd: No