public void Classification_GivenParams_ReturnsCorrectAscvdRiskClassification(GenderIdentity genderIdentity,
int systolic, double hdl, double totalCholesterol, double ldl,
bool diabetic, bool antiHypertensive, bool smoker, bool ascvdPresent, AscvdRiskClassification expected)
{
_patient.Gender = Gender.Build(genderIdentity);
if (diabetic)
{
_patient.Comorbidities.Add(ChronicDisease.Diabetes);
}
if (antiHypertensive)
{
_patient.Comorbidities.Add(ChronicDisease.HypertensionTreated);
}
if (smoker)
{
_patient.Comorbidities.Add(ChronicDisease.TobaccoSmoker);
}
if (ascvdPresent)
{
_patient.Comorbidities.Add(ChronicDisease.DiagnosedCardiovascularDisease);
}
var ascvdClassification = new AscvdClassification(AscvdParameters.Build(_patient,
BloodPressure.Build(systolic, 75), Quantitative.Serum.CholesterolTotal(totalCholesterol),
Quantitative.Serum.LowDensityLipoprotein(ldl), Quantitative.Serum.HighDensityLipoprotein(hdl)));
Assert.Equal(expected, ascvdClassification.Classification.TenYearRiskClassification);
}
public void MaleResultInRange()
{
_patient.Gender = Gender.Build(GenderIdentity.Male);
var result = CalculateVo2Max.FromTreadmillStressTest(_protocol, _timeDuration, _patient);
Assert.InRange(result, 40, 41);
}
public void Classification_GivenValues_ReturnsCorrectClassification(GenderIdentity gender, double left,
double right, GripStrengthScore expected)
{
_patient.Gender = Gender.Build(gender);
var gs = GripStrength.Build(left, right);
var classification = new GripStrengthClassification(new GripStrengthClassificationParameters(gs, _patient))
.Classification;
Assert.Equal(expected, classification.WorseSide);
}
public void Classification_Given40yrMale50lbsL150lbsR_ReturnsWorseSideWeakLateralityLeft()
{
_patient.Gender = Gender.Build(GenderIdentity.Male);
var gs = GripStrength.Build(50, 150);
var classification = new GripStrengthClassification(new GripStrengthClassificationParameters(gs, _patient))
.Classification;
Assert.Equal(GripStrengthScore.Weak, classification.WorseSide);
Assert.Equal(Laterality.Left, classification.Laterality);
}
public void QuantitativeLabTestosterone_GivenValues_ReturnsCorrectClassification(int result,
GenderIdentity genderIdentity, QuantitativeLabResult expectedResult)
{
_patient.Gender = Gender.Build(genderIdentity);
var test = Quantitative.Serum.TestosteroneTotal(result);
var classification =
new QuantitativeLabClassification(new QuantitativeLabClassificationParameters(test, _patient))
.Classification;
Assert.Equal(expectedResult, classification);
}
public void Classification_GivenPatientAndData_ReturnsCorrectClassifiation(int distance, int age,
GenderIdentity genderIdentity, FitnessClassification expectedFitnessClassification)
{
_patient.DateOfBirth = DateTime.Now.AddYears(-age);
_patient.Gender = Gender.Build(genderIdentity);
var situps = Situps.Build(distance);
var classification =
new SitupsClassification(new SitupsClassificationParameters(situps, _patient)).Classification;
Assert.Equal(expectedFitnessClassification, classification);
}
public void Classification_GivenPushupCountAndPatient_ReturnsCorrectClassification(int count,
GenderIdentity genderIdentity, int age, FitnessClassification expectedClassification)
{
var pushups = Pushups.Build(count);
_patient.Gender = Gender.Build(genderIdentity);
_patient.DateOfBirth = DateTime.Now.AddYears(-age);
var classification =
new PushupsClassification(new PushupsClassificationParameters(pushups, _patient))
.Classification;
Assert.Equal(expectedClassification, classification);
}
public void Classify_GivenBodyCompositionAndBodyFatPercent_ReturnsCorrectClassification(double percentBodyFat,
GenderIdentity genderIdentity, PercentBodyFat expectedClassification)
{
_patient.Gender = Gender.Build(genderIdentity);
var bce = BodyCompositionExpandedBuilder.Initialize()
.SetBodyFatPercentage(percentBodyFat)
.BuildWithoutModelValidation();
var classification =
new PercentBodyFatClassification(new BodyCompositionExpandedClassificationParameters(bce, _patient))
.Classification;
Assert.Equal(expectedClassification, classification);
}
public void Classification_GivenHipToWaistRatioAndGender_ReturnsCorrectClassification(double ratio,
GenderIdentity genderIdentity, HipToWaistRatio expectedClassifcation)
{
_patient.Gender = Gender.Build(genderIdentity);
var bodyComposition = BodyCompositionBuilder.Initialize()
.SetHips(1)
.SetWaist(ratio)
.BuildWithoutModelValidation();
var classification =
new HipToWaistClassification(new BodyCompositionClassificationParameters(bodyComposition, _patient))
.Classification;
Assert.Equal(expectedClassifcation, classification);
}
public void Classification_GivenPatientAndData_ReturnsCorrectClassification(double ratio,
GenderIdentity genderIdentity, WaistToHeightRatio expectedWaistToHeightRatio)
{
_patient.Gender = Gender.Build(genderIdentity);
var bodyComposition = BodyCompositionBuilder.Initialize()
.SetHeight(LengthConversion.CentimetersToInches(1))
.SetWaist(LengthConversion.CentimetersToInches(ratio))
.BuildWithoutModelValidation();
var classification =
new WaistToHeightRatioClassification(
new BodyCompositionClassificationParameters(bodyComposition, _patient)).Classification;
Assert.Equal(expectedWaistToHeightRatio, classification);
}
public void IdealLifeTimeRisk_IsCorrect(GenderIdentity gender, double expectedRisk)
{
_patient.Gender = Gender.Build(gender);
_parametersBuilder
.SetPatient(_patient)
.SetBloodPressure(default(int), default(int))
.SetTotalCholesterol(default(int))
.SetHdlCholesterol(default(int));
var idealAscvdLifetimeRisk =
new PooledCohortsEquation(_parametersBuilder.Build()).IdealAscvdLifetimeRiskPercentage;
const double tolerance = 0.1;
Assert.InRange(idealAscvdLifetimeRisk, expectedRisk - tolerance, expectedRisk + tolerance);
}
public void Value_GivenTreadmillAndPatientData_ReturnsCorrectValue(GenderIdentity gender, int age,
int maxHeartRate, double minutes, double seconds, double expectedScore)
{
_patient.DateOfBirth = DateTime.Now.AddYears(-age);
_patient.Gender = Gender.Build(gender);
var tmst = TreadmillExerciseStressTestBuilder.Initialize()
.SetMaximumHeartRate(maxHeartRate)
.SetTime(minutes, seconds)
.BuildWithoutModelValidation();
var fitScore =
new FitTreadmillScoreClassification(
new TreadmillExerciseStressTestClassificationParameters(tmst, _patient)).Value;
Assert.InRange(fitScore, expectedScore - 0.001, expectedScore + 0.001);
}
public void IdealPercentAscvdRisk10Year_Given2013AccAhaSampleParams_ReturnsCorrectRiskPercentage(Race race,
GenderIdentity genderIdentity, double expected)
{
_patient.Gender = Gender.Build(genderIdentity);
_patient.Race = race;
_parametersBuilder
.SetPatient(_patient)
.SetBloodPressure(BloodPressure.Build(default(int), default(int)))
.SetTotalCholesterol(default(int))
.SetHdlCholesterol(default(int));
var idealAscvd = new PooledCohortsEquation(_parametersBuilder.Build()).IdealAscvd10YearRiskPercentage;
const double tolerance = 0.31; // Tolerance necessary because expected values are estimates.
Assert.InRange(idealAscvd, expected - tolerance, expected + tolerance);
}
public void Classification_GivenTreadmillAndPatientData_ReturnsCorrectClassification(GenderIdentity gender,
int age,
int maxHeartRate, double minutes, double seconds, FitTreadmillScoreMortality expectedClassification)
{
_patient.DateOfBirth = DateTime.Now.AddYears(-age);
_patient.Gender = Gender.Build(gender);
var tmst = TreadmillExerciseStressTestBuilder.Initialize()
.SetMaximumHeartRate(maxHeartRate)
.SetTime(minutes, seconds)
.BuildWithoutModelValidation();
var classification =
new FitTreadmillScoreClassification(
new TreadmillExerciseStressTestClassificationParameters(tmst, _patient)).Classification;
Assert.Equal(expectedClassification, classification);
}
public void PercentAscvdRisk10Year_Given2013AccAhaSampleParams_ReturnsCorrectRiskPercentage(Race race,
GenderIdentity genderIdentity, bool hypertensionTreatment, bool diabetes,
bool smoker, double expected)
{
_patient.Gender = Gender.Build(genderIdentity);
_patient.Race = race;
_parametersBuilder
.SetPatient(_patient)
.ConfirmDiabetic(diabetes)
.ConfirmOnAntiHypertensiveMedication(hypertensionTreatment)
.ConfirmSmoker(smoker);
var ascvd = new PooledCohortsEquation(_parametersBuilder.Build()).Ascvd10YearRiskPercentage;
const double tolerance = 0.1;
Assert.InRange(ascvd, expected - tolerance, expected + tolerance);
}
public void PercentAscvdRiskLifetime_GivenValues_ReturnsCorrectRiskPercentage(
GenderIdentity gender, double totalCholesterol,
int systolicBloodPressure, bool hypertensionTreatment, bool diabetes,
bool smoker, double expected)
{
_patient.Gender = Gender.Build(gender);
_parametersBuilder
.SetPatient(_patient)
.SetBloodPressure(systolicBloodPressure, 75)
.SetTotalCholesterol(totalCholesterol)
.SetHdlCholesterol(50)
.ConfirmDiabetic(diabetes)
.ConfirmOnAntiHypertensiveMedication(hypertensionTreatment)
.ConfirmSmoker(smoker);
var lifetime = new PooledCohortsEquation(_parametersBuilder.Build()).AscvdLifetimeRiskPercentage;
const double tolerance = 0.1;
Assert.InRange(lifetime, expected - tolerance, expected + tolerance);
}
public PatientBuilder SetGender(GenderIdentity gender)
{
_gender = Gender.Build(gender);
return(this);
}