Description Usage Arguments Details Value See Also Author(s) References Examples
View source: R/NoPriorCVDRisk_BMI.R
NoPriorCVDRisk_BMI
calculates the 5 year absolute risk of cardiovascular disease (CVD) for people without a history of atherosclerotic CVD.
In this version, BMI is used as a predictor. The outcome of interest is the 5-year risk of a non-fatal or fatal CVD event, including hospitalisation
for coronary heart disease, stroke or other cerebrovascular disease (including transient ischaemic attack), peripheral vascular disease and heart failure,
or cardiovascular death.
1 2 | NoPriorCVDRisk_BMI(dat, sex, age, eth, nzdep, exsmoker, smoker, diabetes,
af, familyhx, sbp, tchdl, bmi, bpl, lld, athrombi, ...)
|
dat |
an optional data.frame or data.table containing input data (see details) |
sex |
binary sex or gender |
age |
age in years (see details) |
eth |
ethnicity (see details) |
nzdep |
socio-economic deprivation (see details) |
exsmoker |
ex-smoker or recently quit |
smoker |
currently smoking |
diabetes |
diabetes status |
af |
atrial fibrillation status |
familyhx |
family history of premature CVD |
sbp |
measured systolic blood pressure in mmHg |
tchdl |
most recent value of total:HDL cholesterol |
bmi |
body mass index in kg/m^2 |
bpl |
receiving at least one blood pressure lowering medication |
lld |
receiving lipid lowering medication |
athrombi |
receiving antiplatelet or anticoagulant medication |
... |
further arguments (see values) |
When a dataset is supplied, a risk score is produced for each row of data, resulting in a numeric vector of the same length.
Each argument requires the variable name from the dataset dat
that corresponds with the parameter. If the parameter dat
is not supplied, then each argument is assigned an individual's
actual parameter value.
The risk prediction equations were developed from a cohort of people aged 30 to 74 years. Additional analyses indicate that the sex-specific risk equations performed adequately in those aged 75-79 years.
People aged 18-29 years or 80 years and older, are outside the range used to derive the equation, and therefore risk will be even more of an approximation. The function
will calculate ages 18-29 as 30; and ages 80-110 as 79. All other age inputs are invalid and will return NA
.
The co-efficients for ethnicity apply only to the following groups: European, Maori, Pacific, Indian, and (non-Indian) Asian. To obtain a risk estimate, ensure that the
ethnicity input is either labelled or encoded using one of the values listed below (see values). All other inputs are invalid and will return NA
.
The scale for socioeconomic deprivation is derived from the New Zealand Index of Deprivation; a small area-based measure that combines census data relating to income, home ownership, employment, qualifications, family structure, housing, access to transport and communications. The equations require NZDep to be categorised as quintiles, with 1 being the least deprived and 5 being the most deprived.
returns either a single 5-year CVD risk estimate, or a numeric vector of risk estimates if dat
is provided.
Input values for each parameter must conform to the following convention:
sex |
label or encode as one of the following:
|
age |
numeric value for years of age between 20 and 110 |
eth |
label or encode as one of the following:
|
nzdep |
numeric value between 1 and 5 |
exsmoker |
label or encode as one of the following:
|
smoker |
label or encode as one of the following:
|
diabetes, |
label or encode as one of the following:
|
bpl, lld, |
label or encode as one of the following:
|
sbp, tchdl |
numeric value of measured result. Note:
|
bmi |
numeric value of calculated BMI. If BMI is unknown, input as |
... |
further arguments:
|
NoPriorCVDRisk
NoPriorCVDRisk_BMI
NoPriorCVDRisk_Policy
NoPriorCVDBleedRisk
NoPriorT2DRisk
PostCVDRisk
PostACSRisk
Billy Wu (R Developer) and Romana Pylypchuk (Principal Investigator)
New Zealand Ministry of Health: HISO 10071:2019 Cardiovascular Disease Risk Assessment Data Standard
1 2 3 4 5 6 7 8 9 10 11 | # As calculator (dataset not provided)
NoPriorCVDRisk_BMI(sex="F", age=65, eth="Indian", smoker=0, nzdep=5, diabetes=0,
af=0, familyhx=1, lld=1, athrombi=1, bpl=1, sbp=118, tchdl=3.3, bmi=32)
NoPriorCVDRisk_BMI(sex=F, age=55, eth=IN, exsmoker=Y, smoker=0, nzdep=5, diabetes=T,
af=Y, familyhx=T, lld=1, athrombi=Y, bpl=T, sbp=120, tchdl=3.2, bmi=42)
# As a vectoriser (dataset provided)
NoPriorCVDRisk_BMI(dat=DF, sex=sex, age=age, eth=ethnic_labels, smoker=smoking_status, nzdep=nzdep_quintiles,
diabetes=diab_status, af=af, familyhx=fam_hx, lld=lipidlowering, athrombi=antithrombics,
bpl=bplowering, sbp=systolic_bp, tchdl=tchdl_ratio, bmi=bmi)
|
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