EMPiRE model - Evidencio

Evidencio uses JavaScript for many of its features. Please enable JavaScript to enable calculations

A model to predict the risk of seizures in pregnant women with epilepsy on anti-epileptic medication

Research authors: John Allotey, Borja Fernandez-Felix, Javier Zamora, Ngawai Moss, Manny Bagary, Andrew Kelso, Rehan Khan, Joris A. M. van der Post, Ben W. Mol, Alexander M. Pirie, Dougall McCorry, Khalid S. Khan, Shakila Thangaratinam

Details Formula Study characteristics Files & References

★★★★★

Model author

jallotey

Model ID

1799

Version

1.30

Revision date

2020-03-26

Specialty

General practice, Neurology

MeSH terms

Epilepsy

Epileptic Seizure

Pregnancy

Model type

Logistic regression ^{(Calculation)}

Status

public

Rating

★ ★ ★ ★ ★

Formula
No Formula defined yet

Condition	Formula

Additional information

Current model was developed using data from the prospective multicentre EMPiRE (AntiEpileptic drug Monitoring in PREgnancy) study, which recruited pregnant women with epilepsy on antiepileptic drugs at first antenatal visit from 50 maternity units in the UK bewteen 4 November 2011 and 17 August 2014.

A multidisciplinary team of neurologists, obstetricians, and researchers selected the candidate predictors for further evaluation in the prognostic model, based on existing evidence and their relevance to clinical care.

The main outcome was the occurrence of tonic-clonic (convulsive) or non-tonic-clonic (nonconvulsive)
seizure. Participants prospectively recorded their epileptic seizures, if any, in purpose-built seizure diaries.

Missing values were handled using 10-fold multiple imputation by chained equation. LASSO method was used to develop logistic regression models.

The displayed study characteristics concen the characteristics of the development cohort (n = 399). The model was also externally validated on a separate cohort (n = 128)

Study Population

Total population size: 527

Males: {{ model.numberOfMales }}

Females: {{ model.numberOfFemales }}

Continuous characteristics

Name	Mean	SD	Unit
Age at first seizure	16.5	7.4	years
Gestational age at baseline	16.6	4	Weeks
Number of tonic-clonic seizures in pregnancy prior to the baseline visit (missing n = 82)	0.7	2.8	seizures
number of non-tonic-clonic seizures in pregnancy prior to the baseline visit	11.6	108.4	seizures
Baseline dose of Carbamazepine	706.0	348.5	mg/day
Baseline dose of Lamotrigine	272.1	155.6	mg/day
Baseline dose of Levetiracetam	1641.3	886.8	mg/day

Categorical characteristics

Name	Subset / Group	Nr. of patients
Age at first seizure (missing n = 5)	≤10 years	70
	11 - 20 years	215
	21 - 30 years	94
	31 - 40 years	15
Hisrtory of learning difficulty or mental illness (missing n = 1)	No	348
	Yes	50
Admission to hospital for seizures in previous pregnancy (missing n = 22)	No	349
	Yes	28
Seizure classification at baseline	Tonic-Clonic	155
	Non-tonic-clonic	232
	Unspecified	12
Seizure in the 3 months before pregnancy (missing n = 83)	No	217
	Tonic-Clonic	52
	Non-tonic-clonic	130
Antiepileptic drug intake at baseline	Carbamazepine	74
	Lamotrigine	200
	Levetiracetam	99
	Phenytoin	0
	Lamotrigine and carbamazepine	1
	Lamotrigine and levetiracetam	25

	EMPiRE model
	V-1.30-1799.20.03.26
	Refer to Intended Use for instructions before use
	Evidencio B.V., Irenesingel 19, 7481 GJ, Haaksbergen, the Netherlands

Related files

No related files available

Supporting Publications

Title or description

The calculated predicted risk of seizures in pregnancy and up to 6 weeks after delivery is:
...

Result

Note

Notes are only visible in the result download and will not be saved by Evidencio

The calculated predicted risk of seizures in pregnancy and up to 6 weeks after delivery is:

Outcome stratification

Result interval {{ additionalResult.min }} to {{ additionalResult.max }}

Conditional information

Result interpretation

The calculation is the risk of the pregnant woman having any siezure in pregnancy and up to 6 weeks after delivery. Use of the model in clinical practice should be complementary to individualised advice on safety, risk assessment, adherence and triggers for seizures.
Women predicted to have a low risk of seizure should be informed that their risk status is subject to adherence to their anti-epileptic medication.

Calculations alone should never dictate patient care, and are no substitute for professional judgement. See our full disclaimer.

Comments

Rating

Comment

Please enter a comment of rating

Comments are visible to anyone

Model feedback

No feedback yet 1 Comment {{ model.comments.length }} Comments

Not rated | On {{ comment.created_at }} {{ comment.user.username }} a no longer registered author wrote:

Validate model Download report

Save input Load input

Recent General practice Models

ADAPT Protocol for Cardiac Event Risk

COPD risicotest

Vetvrije massa (Hume formule)

Berekenen vetvrije massa (lean body mass)

Kans op spontane zwangerschap

All General practice Models

Recent Neurology Models

CHADS2 score for atrial fibrillation stroke risk

DRAGON score for post tPA stroke outcome

Hemorrhage after thrombolysis (HAT) score

HEMORR2HAGES score for major bleeding risk

Unruptured intracranial aneurysm (UIA) treatment score (UIATS) - UIA repair

All Neurology Models

Please sign in to enable Evidencio print features

In order to use the Evidencio print features, you need to be logged in.
If you don't have an Evidencio Community Account you can create your free personal account at:

https://www.evidencio.com/registration

Printed results - Examples {{ new Date().toLocaleString() }}

Evidencio Community Account Benefits

With an Evidencio Community account you can:

Create and publish your own prediction models.
Share your prediction models with your colleagues, research group, organization or the world.
Review and provide feedback on models that have been shared with you.
Validate your models and validate models from other users.
Find models based on Title, Keyword, Author, Institute, or MeSH classification.
Use and save prediction models and their data.
Use patient specific protocols and guidelines based on sequential models and decision trees.
Stay up-to-date with new models in your field as they are published.
Create your own lists of favorite models and topics.

A personal Evidencio account is free, with no strings attached! Join us and help create clarity, transparency, and efficiency in the creation, validation, and use of medical prediction models.

Disclaimer: Calculations alone should never dictate patient care, and are no substitute for professional judgement.

Additional information

Study Population

Continuous characteristics

Categorical characteristics

Related files

Supporting Publications

The calculated predicted risk of seizures in pregnancy and up to 6 weeks after delivery is:
...

{{ model.survival.PITTitle }}

{{ model.survival.YNETitle }}

The calculated predicted risk of seizures in pregnancy and up to 6 weeks after delivery is:

Outcome stratification

Conditional information

Result interpretation

Model feedback

Please sign in to enable Evidencio print features

Printed results - Examples {{ new Date().toLocaleString() }}

Evidencio Community Account Benefits

{{ variable.title }}

Additional information

Study Population

Continuous characteristics

Categorical characteristics

Related files

Supporting Publications

The calculated predicted risk of seizures in pregnancy and up to 6 weeks after delivery is: ...

{{ model.survival.PITTitle }}

{{ model.survival.YNETitle }}

The calculated predicted risk of seizures in pregnancy and up to 6 weeks after delivery is:

Outcome stratification

Conditional information

Result interpretation

Model feedback

Please sign in to enable Evidencio print features

Printed results - Examples {{ new Date().toLocaleString() }}

Evidencio Community Account Benefits

{{ variable.title }}

The calculated predicted risk of seizures in pregnancy and up to 6 weeks after delivery is:
...