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Description:

edcegfr 0.3.8

edc-egfr
Classes and utils to handle eGFR collection and reporting
Includes calculators for CKD-EPI Creatinine equation (2009)
and Cockcroft-Gault.

Calculate value, grade, percent drop, percent drop grade
The calculators use edc_reportable to reference DAIDS tox tables.
egfr1 = EgfrCkdEpi(
gender=MALE,
ethnicity=BLACK,
creatinine_value=53.0,
age_in_years=30,
creatinine_units=MICROMOLES_PER_LITER,
)
self.assertEqual(round(egfr1.value, 2), 156.43)
and the eGFR grade
self.assertEqual(egfr1.egfr_grade, 0)

Percent drop from baseline
In a trial, we are interested in the eGFR percent from baseline. Any reference value can be passed as the
baseline value.
If the baseline value is not provided, the percent drop = 0:
# see edc-reportable for `reference_range_collection_name`
opts = dict(
gender=MALE,
age_in_years=25,
ethnicity=BLACK,
creatinine_value=10.15,
creatinine_units=MILLIGRAMS_PER_DECILITER,
report_datetime=get_utcnow(),
reference_range_collection_name="my_reference_list",
calculator_name="ckd-epi",
)
egfr = Egfr(**opts)
self.assertEqual(egfr.egfr_drop_value, 0.0)
If a baseline value is provided, the percent drop is calculated:
egfr = Egfr(baseline_egfr_value=23.0, **opts)
self.assertEqual(round(egfr.egfr_value, 2), 7.33)
self.assertEqual(egfr.egfr_grade, 4)
self.assertEqual(round(egfr.egfr_drop_value, 2), 68.15)
self.assertEqual(egfr.egfr_drop_grade, 4)

Notify on percent drop
We can notify when the drop is more than a given percent. eGFR uses a custom
model to be updated.
A edc lab result CRF is filled in, calling_crf, that has the creatinine value and units.
The calling_crf has a subject_visit, report_datetime, assay_datetime, creatinine_value, and creatinine_units.
egfr = Egfr(
baseline_egfr_value=220.1,
notify_on_percent_drop=20,
calling_crf=crf,
**opts,
)
self.assertEqual(round(egfr.egfr_drop_value, 2), 28.93)
self.assertTrue(
EgfrDropNotification.objects.filter(subject_visit=subject_visit).exists()
)

Connecting a custom drop notification model with edc-action-item
from edc_crf.crf_with_action_model_mixin import CrfWithActionModelMixin
from edc_egfr.constants import EGFR_DROP_NOTIFICATION_ACTION
from edc_egfr.model_mixins import EgfrDropNotificationModelMixin
from edc_model import models as edc_models

class EgfrDropNotification(
EgfrDropNotificationModelMixin,
CrfWithActionModelMixin,
edc_models.BaseUuidModel,
):

action_name = EGFR_DROP_NOTIFICATION_ACTION

tracking_identifier_prefix = "EG"

class Meta(edc_models.BaseUuidModel.Meta):
verbose_name = "eGFR Drop Notification"
verbose_name_plural = "eGFR Drop Notifications"

Adding to an EDC model.save()
For example, from the BloodResultRft model in meta-edc
class BloodResultsRft(
CrfModelMixin,
CreatinineModelMixin,
EgfrModelMixin,
EgfrDropModelMixin,
CrfWithRequisitionModelMixin,
BloodResultsModelMixin,
edc_models.BaseUuidModel,
):
lab_panel = rft_panel
egfr_formula_name = "ckd-epi"

class Meta(CrfWithActionModelMixin.Meta, edc_models.BaseUuidModel.Meta):
verbose_name = "Blood Result: RFT"
verbose_name_plural = "Blood Results: RFT"