Multivariate linear mixture models for the prediction of febrile seizure risk and recurrence: a prospective case–control study

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F23%3A00078427" target="_blank" >RIV/65269705:_____/23:00078427 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14110/23:00134687

Result on the web

<a href="https://www.nature.com/articles/s41598-023-43599-5.pdf" target="_blank" >https://www.nature.com/articles/s41598-023-43599-5.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41598-023-43599-5" target="_blank" >10.1038/s41598-023-43599-5</a>

Result language

angličtina

Original language name

Multivariate linear mixture models for the prediction of febrile seizure risk and recurrence: a prospective case–control study

Original language description

Our goal was to identify highly accurate empirical models for the prediction of the risk of febrile seizure (FS) and FS recurrence. In a prospective, three-arm, case-control study, we enrolled 162 children (age 25.8 +/- 17.1 months old, 71 females). Participants formed one case group (patients with FS) and two control groups (febrile patients without seizures and healthy controls). The impact of blood iron status, peak body temperature, and participants&apos; demographics on FS risk and recurrence was investigated with univariate and multivariate statistics. Serum iron concentration, iron saturation, and unsaturated iron-binding capacity differed between the three investigated groups (pFWE &lt; 0.05). These serum analytes were key variables in the design of novel multivariate linear mixture models. The models classified FS risk with higher accuracy than univariate approaches. The designed bi-linear classifier achieved a sensitivity/specificity of 82%/89% and was closest to the gold-standard classifier. A multivariate model assessing FS recurrence provided a difference (p(FWE) &lt; 0.05) with a separating sensitivity/specificity of 72%/69%. Iron deficiency, height percentile, and age were significant FS risk factors. In addition, height percentile and hemoglobin concentration were linked to FS recurrence. Novel multivariate models utilizing blood iron status and demographic variables predicted FS risk and recurrence among infants and young children with fever.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30200 - Clinical medicine

Project

<a href="/en/project/NU21-04-00305" target="_blank" >NU21-04-00305: Transcriptomics and DNA methylation analysis in patients with focal cortical dysplasia</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Scientific Reports

ISSN

2045-2322

e-ISSN

2045-2322

Volume of the periodical

13

Issue of the periodical within the volume

1

Country of publishing house

DE - GERMANY

Number of pages

12

Pages from-to

17372

UT code for WoS article

001086926800024

EID of the result in the Scopus database

2-s2.0-85174178818