Lithuanian CVD Implementation Guide
0.0.1 - ci-build
Lithuanian CVD Implementation Guide, published by Lithuanian Medical Library. This guide is not an authorized publication; it is the continuous build for version 0.0.1 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/HL7LT/ig-lt-cvd/ and changes regularly. See the Directory of published versions
| Oficialus URL: https://hl7.lt/fhir/cvd/Questionnaire/cvd-risk-assessment | Versija: 0.1.0 | ||||
| Mašiniškai apdorojamas pavadinimas: CvdRiskAssessment | |||||
Representative subset of programme fields: context, chronic diseases, key risk factors, anthropometrics, blood pressure, lipid panel, SCORE2, risk group, plus optional items aligned with input/fsh/migration/mapping.md (extended parity).
Language: en
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Representative subset of programme fields: context, chronic diseases, key risk factors, anthropometrics, blood pressure, lipid panel, SCORE2, risk group, plus optional items aligned with input/fsh/migration/mapping.md (extended parity). | Questionnaire | https://hl7.lt/fhir/cvd/Questionnaire/cvd-risk-assessment#0.1.0 | |
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Context (registrar, institution, workstation — not itemised in this illustrative Questionnaire). | 0..1 | group | Value Set: |
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Evaluation date and time | 1..1 | dateTime | Value Set: |
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Accompanying chronic diseases (programme list) | 0..1 | group | Value Set: |
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Relevant chronic conditions | 0..1 | text | Value Set: |
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Risk factors | 0..1 | group | Value Set: |
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Arterial hypertension | 1..1 | coding | Value Set: Options: 3 options |
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Dyslipidemia | 1..1 | coding | Value Set: Options: 3 options |
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Diabetes | 1..1 | coding | Value Set: Options: 3 options |
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Glucose tolerance disorder or fasting glucose disorder | 1..1 | coding | Value Set: Options: 3 options |
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Familial hypercholesterolemia | 1..1 | coding | Value Set: Options: 2 options |
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Smoking | 1..1 | coding | Value Set: Options: 3 options |
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Smoking duration (years) | 0..1 | decimal | Enable When: risk-factor-smoking = smoking-current (cvd-questionnaire-options#smoking-current) Value Set: |
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Form of smoking | 0..* | coding | Enable When: risk-factor-smoking = smoking-current (cvd-questionnaire-options#smoking-current) Value Set: |
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Physical activity | 1..1 | coding | Value Set: Options: 2 options |
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Nutrition | 1..1 | coding | Value Set: Options: 2 options |
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Alcohol consumption | 1..1 | coding | Value Set: Options: 3 options |
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AUDIT / AUDIT-C test result interpretation | 0..1 | decimal | Enable When: risk-factor-alcohol = alcohol-yes (cvd-questionnaire-options#alcohol-yes) Value Set: |
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Family history of early CVD (men <55, women <60) or early cardiac death | 1..1 | coding | Value Set: Options: 3 options |
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Family history of diabetes | 1..1 | coding | Value Set: Options: 3 options |
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Objective condition and investigations | 0..1 | group | Value Set: |
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Height (cm) | 1..1 | decimal | Value Set: |
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Weight (kg) | 1..1 | decimal | Value Set: |
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Waist circumference (cm) | 1..1 | decimal | Value Set: |
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Systolic blood pressure (mmHg) | 1..1 | decimal | Value Set: |
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Diastolic blood pressure (mmHg) | 1..1 | decimal | Value Set: |
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Heart rate (bpm) | 1..1 | decimal | Value Set: |
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BMI (kg/m², automatically calculated) | 1..1 | decimal | Value Set: |
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Abdominal obesity (waist circumference men ≥ 102 cm, women ≥ 88 cm) | 1..1 | coding | Value Set: Options: 2 options |
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Obesity (BMI ≥ 25) | 1..1 | coding | Value Set: Options: 2 options |
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Lipidogram | 0..1 | group | Value Set: |
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Total cholesterol (mmol/l) | 1..1 | decimal | Value Set: |
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HDL cholesterol (mmol/l) | 1..1 | decimal | Value Set: |
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Non-HDL cholesterol (mmol/l) | 1..1 | decimal | Value Set: |
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LDL cholesterol (mmol/l) | 1..1 | decimal | Value Set: |
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Triglycerides (mmol/l) | 1..1 | decimal | Value Set: |
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Risk estimate and group | 0..1 | group | Value Set: |
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SCORE2 cardiovascular risk (%) | 0..1 | decimal | Value Set: |
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Metabolic syndrome (at least 3 out of 5 NCEP ATP III criteria) | 1..1 | coding | Value Set: Options: 2 options |
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Risk group for heart and vascular diseases | 1..1 | coding | Value Set: Options: 3 options |
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Albumin/Creatinine ratio (for patients with diabetes) | 0..1 | decimal | Value Set: |
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Extended parity (migration/mapping.md — missing-concepts rows) | 0..1 | group | Value Set: |
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Encounter (visit id / context) | 0..1 | string | Value Set: |
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PractitionerRole (workplace / specialist) | 0..1 | string | Value Set: |
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Heart rate (bpm) | 0..1 | decimal | Value Set: |
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BMI (kg/m²) | 0..1 | decimal | Value Set: |
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Fasting glucose (mmol/l) | 1..1 | decimal | Value Set: |
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HbA1c (%) | 1..1 | decimal | Value Set: |
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Creatinine | 1..1 | decimal | Value Set: |
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eGFR | 1..1 | decimal | Value Set: |
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Alcohol consumption (summary) | 0..1 | string | Value Set: |
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Physical activity (summary) | 0..1 | string | Value Set: |
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Dietary habits / nutrition | 0..1 | string | Value Set: |
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Family history of CVD | 0..1 | string | Value Set: |
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Referral (cardiology / service) | 0..1 | string | Value Set: |
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Follow-up visit (appointment) | 0..1 | dateTime | Value Set: |
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Achievement evaluation (narrative) | 0..1 | text | Value Set: |
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Additional chronic conditions | 0..1 | text | Value Set: |
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IG example parity (migration already-covered) | 0..1 | group | Value Set: |
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Patient (context note) | 0..1 | string | Value Set: |
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Practitioner (context note) | 0..1 | string | Value Set: |
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Organization (context note) | 0..1 | string | Value Set: |
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ECG (summary) | 0..1 | text | Value Set: |
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Medications (context) | 0..1 | text | Value Set: |
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Diabetes duration | 0..1 | text | Value Set: |
Documentation for this format | ||||
Options Sets
Answer options for risk-factor-hypertension
Answer options for risk-factor-dyslipidemia
Answer options for risk-factor-diabetes
Answer options for risk-factor-glucose-tolerance
Answer options for risk-factor-familial-hypercholesterolemia
Answer options for risk-factor-smoking
Answer options for risk-factor-physical-activity
Answer options for risk-factor-nutrition
Answer options for risk-factor-alcohol
Answer options for risk-factor-family-cvd
Answer options for risk-factor-family-diabetes
Answer options for abdominal-obesity
Answer options for obesity-bmi
Answer options for metabolic-syndrome
Answer options for risk-group-cvd
Language: en
Context (registrar, institution, workstation — not itemised in this illustrative Questionnaire).
Evaluation date and time*
Accompanying chronic diseases (programme list)
Relevant chronic conditions
Risk factors
Arterial hypertension*
Dyslipidemia*
Diabetes*
Glucose tolerance disorder or fasting glucose disorder*
Familial hypercholesterolemia*
Smoking*
Smoking duration (years)
Form of smoking
Physical activity*
Nutrition*
Alcohol consumption*
AUDIT / AUDIT-C test result interpretation
Family history of early CVD (men <55, women <60) or early cardiac death*
Family history of diabetes*
Objective condition and investigations
Height (cm)*
Weight (kg)*
Waist circumference (cm)*
Systolic blood pressure (mmHg)*
Diastolic blood pressure (mmHg)*
Heart rate (bpm)*
BMI (kg/m², automatically calculated)*
Abdominal obesity (waist circumference men ≥ 102 cm, women ≥ 88 cm)*
Obesity (BMI ≥ 25)*
Lipidogram
Total cholesterol (mmol/l)*
HDL cholesterol (mmol/l)*
Non-HDL cholesterol (mmol/l)*
LDL cholesterol (mmol/l)*
Triglycerides (mmol/l)*
Risk estimate and group
SCORE2 cardiovascular risk (%)
Metabolic syndrome (at least 3 out of 5 NCEP ATP III criteria)*
Risk group for heart and vascular diseases*
Albumin/Creatinine ratio (for patients with diabetes)
Extended parity (migration/mapping.md — missing-concepts rows)
Encounter (visit id / context)
PractitionerRole (workplace / specialist)
Heart rate (bpm)
BMI (kg/m²)
Fasting glucose (mmol/l)*
HbA1c (%)*
Creatinine*
eGFR*
Alcohol consumption (summary)
Physical activity (summary)
Dietary habits / nutrition
Family history of CVD
Referral (cardiology / service)
Follow-up visit (appointment)
Achievement evaluation (narrative)
Additional chronic conditions
IG example parity (migration already-covered)
Patient (context note)
Practitioner (context note)
Organization (context note)
ECG (summary)
Medications (context)
Diabetes duration
Language: en
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Documentation for this format | |
Try this questionnaire out: