Skip to main content

Classes and utils to handle eGFR collection and reporting for clinicedc/edc projects

Project description

pypi actions codecov downloads

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"

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

edc_egfr-0.3.9.tar.gz (40.1 kB view details)

Uploaded Source

Built Distribution

edc_egfr-0.3.9-py3-none-any.whl (43.1 kB view details)

Uploaded Python 3

File details

Details for the file edc_egfr-0.3.9.tar.gz.

File metadata

  • Download URL: edc_egfr-0.3.9.tar.gz
  • Upload date:
  • Size: 40.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for edc_egfr-0.3.9.tar.gz
Algorithm Hash digest
SHA256 90a1459a65937f3b4de9d4830142d6ffcfd447b733e20820843e3a01f6873e00
MD5 f29fdb818ac555d81ad4540f537d2d5d
BLAKE2b-256 e2068dadf964eb31347dc38b0095fd142b63d94379dac6c58c04204629973a7c

See more details on using hashes here.

File details

Details for the file edc_egfr-0.3.9-py3-none-any.whl.

File metadata

  • Download URL: edc_egfr-0.3.9-py3-none-any.whl
  • Upload date:
  • Size: 43.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for edc_egfr-0.3.9-py3-none-any.whl
Algorithm Hash digest
SHA256 10e6548a4d38739671ff9a8d099bd52ab2a071c06c362828454477cbdaba763d
MD5 7b9f0dc9ba4aa870658aea1897073631
BLAKE2b-256 e2444fbc3e321df1db1507628f3390b11088f9fdedfe30ad0abf77d640e80d08

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page