class Anthropometry(CrfModelMixin, BaseUuidModel):
weight = edc_models.WeightField()
height = edc_models.HeightField()
bmi = models.DecimalField(
verbose_name="BMI",
decimal_places=1,
max_digits=7,
help_text="kg/mm^2 (Note: this field is read only. The value is calculated)",
)
waist_circumference = edc_models.WaistCircumferenceField()
sys_blood_pressure_r1 = edc_models.SystolicPressureField(null=True, blank=False,)
dia_blood_pressure_r1 = edc_models.DiastolicPressureField(null=True, blank=False,)
sys_blood_pressure_r2 = edc_models.SystolicPressureField(null=True, blank=False,)
dia_blood_pressure_r2 = edc_models.DiastolicPressureField(null=True, blank=False,)
def save(self, *args, **kwargs):
self.bmi = round((float(self.weight) / (float(self.height) / 100.0)), 2)
super().save(*args, **kwargs)
class Meta(CrfModelMixin.Meta):
verbose_name = "Anthropometry"
verbose_name_plural = "Anthropometry"
class FollowupIndicators(IndicatorsModelMixin, CrfModelMixin,
edc_models.BaseUuidModel):
height = edc_models.HeightField(null=True, blank=True)
class Meta(CrfModelMixin.Meta):
verbose_name = "Followup Indicators"
verbose_name_plural = "Followup Indicators"
class Indicators(CrfModelMixin, BaseUuidModel):
weight = edc_models.WeightField(
validators=[MinValueValidator(25), MaxValueValidator(200)],
null=True,
blank=True,
)
height = edc_models.HeightField(
null=True,
blank=True,
)
r1_taken = models.CharField(
verbose_name=mark_safe("Was a blood pressure reading taken"),
max_length=15,
choices=YES_NO,
default=YES,
)
r1_reason_not_taken = models.TextField(
verbose_name="reason not taken", max_length=250, null=True, blank=True
)
sys_blood_pressure_r1 = edc_models.SystolicPressureField(null=True, blank=True)
dia_blood_pressure_r1 = edc_models.DiastolicPressureField(null=True, blank=True)
r2_taken = models.CharField(
verbose_name=mark_safe("Was a <u>second</u> blood pressure reading taken"),
max_length=15,
choices=YES_NO_NOT_REQUIRED,
default=NOT_REQUIRED,
)
r2_reason_not_taken = models.TextField(max_length=250, null=True, blank=True)
sys_blood_pressure_r2 = edc_models.SystolicPressureField(null=True, blank=True)
dia_blood_pressure_r2 = edc_models.DiastolicPressureField(null=True, blank=True)
class Meta(CrfModelMixin.Meta, edc_models.BaseUuidModel.Meta):
verbose_name = "Indicators"
verbose_name_plural = "Indicators"
class CoronaKapDiseaseModelMixin(models.Model):
# Disease burden
hiv_pos = models.CharField(
verbose_name=mark_safe("Does the patient have <u>HIV</u> infection?"),
max_length=25,
choices=YES_NO_UNKNOWN,
)
hiv_pos_year = models.IntegerField(
verbose_name=mark_safe(
"If 'Yes', what year did you first test positive?"),
validators=[MinValueValidator(1950),
MaxValueValidator(2020)],
null=True,
blank=True,
help_text="format YYYY",
)
hiv_year_started_art = models.IntegerField(
verbose_name=
"If 'Yes', what year did you <u>start antiretroviral therapy</u>?",
validators=[MinValueValidator(0)],
null=True,
blank=True,
help_text="format YYYY",
)
hiv_missed_doses = models.IntegerField(
verbose_name=mark_safe(
"If 'Yes', in the last month <u>how many days</u> did you miss "
"taking your <u>ART</u> medications?"),
null=True,
blank=True,
)
diabetic = models.CharField(
verbose_name=mark_safe(
"Have you been diagnosed with <u>diabetes</u>?"),
max_length=25,
choices=YES_NO_UNKNOWN,
)
diabetic_dx_year = models.IntegerField(
verbose_name=mark_safe(
"If 'Yes', what year did you first learn you had <u>diabetes</u>?"
),
validators=[MinValueValidator(1950),
MaxValueValidator(2020)],
null=True,
blank=True,
help_text="format YYYY",
)
diabetic_on_meds = models.CharField(
verbose_name=mark_safe(
"If 'Yes', are you taking medications to control your <u>diabetes</u>?"
),
max_length=25,
choices=YES_NO_NA,
default=NOT_APPLICABLE,
)
diabetic_missed_doses = models.IntegerField(
verbose_name=mark_safe(
"If 'Yes', in the last month <u>how many days</u> did you miss "
"taking your <u>diabetes</u> medications?"),
null=True,
blank=True,
)
hypertensive = models.CharField(
verbose_name=mark_safe(
"Have you been diagnosed with <u>hypertension</u>?"),
max_length=25,
choices=YES_NO_UNKNOWN,
)
hypertensive_dx_year = models.IntegerField(
verbose_name=mark_safe(
"If 'Yes', what year did you first learn you had <u>hypertension</u>?"
),
validators=[MinValueValidator(1950),
MaxValueValidator(2020)],
null=True,
blank=True,
help_text="format YYYY",
)
hypertensive_on_meds = models.CharField(
verbose_name=mark_safe(
"If 'Yes', are you taking medications to control your <u>hypertension</u>?"
),
max_length=25,
choices=YES_NO_NA,
default=NOT_APPLICABLE,
)
hypertensive_missed_doses = models.IntegerField(
verbose_name=mark_safe(
"If 'Yes', in the last month <u>how many days</u> did you miss "
"taking your <u>hypertension</u> medications?"),
null=True,
blank=True,
)
weight = edc_models.WeightField(null=True, blank=True)
height = edc_models.HeightField(null=True, blank=True)
sys_blood_pressure = edc_models.SystolicPressureField(null=True,
blank=True)
dia_blood_pressure = edc_models.DiastolicPressureField(null=True,
blank=True)
class Meta:
abstract = True
class PartThreeFieldsModelMixin(
FastingModelMixin,
IfgModelMixin,
OgttModelMixin,
CreatinineModelFieldsMixin,
models.Model,
):
part_three_report_datetime = models.DateTimeField(
verbose_name="Second stage report date and time",
null=True,
blank=False,
help_text="Date and time of report.",
)
sys_blood_pressure = edc_models.SystolicPressureField(
null=True,
blank=True,
)
dia_blood_pressure = edc_models.DiastolicPressureField(
null=True,
blank=True,
)
weight = edc_models.WeightField(null=True, blank=True)
height = edc_models.HeightField(null=True, blank=True)
waist_circumference = models.DecimalField(
verbose_name="Waist circumference",
max_digits=5,
decimal_places=1,
validators=[MinValueValidator(50.0), MaxValueValidator(175.0)],
null=True,
blank=True,
help_text="in centimeters",
)
hba1c_performed = models.CharField(
verbose_name="Was the HbA1c performed?",
max_length=15,
choices=YES_NO,
default=NO,
help_text="",
)
hba1c_value = models.DecimalField(
verbose_name="HbA1c",
max_digits=8,
decimal_places=2,
null=True,
blank=True,
help_text="in %",
)
creatinine_performed = models.CharField(
verbose_name="Was the serum creatinine performed?",
max_length=15,
choices=YES_NO,
default=NO,
help_text="",
)
class Meta:
abstract = True
class PartThreeFieldsModelMixin(CreatinineModelFieldsMixin, models.Model):
part_three_report_datetime = models.DateTimeField(
verbose_name="Second stage report date and time",
null=True,
blank=False,
help_text="Date and time of report.",
)
sys_blood_pressure = edc_models.SystolicPressureField(
null=True,
blank=True,
)
dia_blood_pressure = edc_models.DiastolicPressureField(
null=True,
blank=True,
)
weight = edc_models.WeightField(null=True, blank=True)
height = edc_models.HeightField(null=True, blank=True)
waist_circumference = models.DecimalField(
verbose_name="Waist circumference",
max_digits=5,
decimal_places=1,
validators=[MinValueValidator(50.0),
MaxValueValidator(175.0)],
null=True,
blank=True,
help_text="in centimeters",
)
fasted = models.CharField(
verbose_name="Has the participant fasted?",
max_length=15,
choices=YES_NO,
null=True,
blank=False,
)
fasted_duration_str = models.CharField(
verbose_name="How long have they fasted in hours and/or minutes?",
max_length=8,
validators=[hm_validator],
null=True,
blank=True,
help_text=
"Duration of fast. Format is `HHhMMm`. For example 1h23m, 12h7m, etc",
)
fasted_duration_minutes = models.IntegerField(
null=True, help_text="system calculated value")
hba1c_performed = models.CharField(
verbose_name="Was the HbA1c performed?",
max_length=15,
choices=YES_NO,
default=NO,
help_text="",
)
hba1c = models.DecimalField(
verbose_name="HbA1c",
max_digits=8,
decimal_places=2,
null=True,
blank=True,
help_text="in %",
)
creatinine_performed = models.CharField(
verbose_name="Was the serum creatinine performed?",
max_length=15,
choices=YES_NO,
default=NO,
help_text="",
)
# IFG
fasting_glucose = models.DecimalField(
verbose_name=mark_safe("Fasting glucose <u>level</u>"),
max_digits=8,
decimal_places=2,
null=True,
blank=True,
)
fasting_glucose_quantifier = models.CharField(
max_length=10,
choices=RESULT_QUANTIFIER,
default=EQ,
)
fasting_glucose_units = models.CharField(
verbose_name="Units (fasting glucose)",
max_length=15,
choices=GLUCOSE_UNITS,
blank=True,
null=True,
)
fasting_glucose_datetime = models.DateTimeField(
verbose_name=mark_safe(
"<u>Time</u> fasting glucose <u>level</u> measured"),
null=True,
blank=True,
)
ogtt_base_datetime = models.DateTimeField(
verbose_name=mark_safe("<u>Time</u> oral glucose solution was given"),
null=True,
blank=True,
help_text="(glucose solution given)",
)
ogtt_two_hr = models.DecimalField(
verbose_name=mark_safe("Blood glucose <u>level</u> 2-hours "
"after oral glucose solution given"),
max_digits=8,
decimal_places=2,
null=True,
blank=True,
)
ogtt_two_hr_quantifier = models.CharField(
max_length=10,
choices=RESULT_QUANTIFIER,
default=EQ,
)
ogtt_two_hr_units = models.CharField(
verbose_name="Units (Blood glucose 2hrs after...)",
max_length=15,
choices=GLUCOSE_UNITS,
blank=True,
null=True,
)
ogtt_two_hr_datetime = models.DateTimeField(
verbose_name=mark_safe("<u>Time</u> blood glucose measured 2-hours "
"after oral glucose solution given"),
blank=True,
null=True,
help_text="(2 hours after glucose solution given)",
)
class Meta:
abstract = True
