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

J 2023

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

PAPEŽ, Jan, Rene LABOUNEK, Petr JABANDŽIEV, Katarína ČESKÁ, Kateřina SLABÁ et. al.

Základní údaje

Originální název

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

Autoři

PAPEŽ, Jan (203 Česká republika, domácí), Rene LABOUNEK, Petr JABANDŽIEV (203 Česká republika, domácí), Katarína ČESKÁ (703 Slovensko, domácí), Kateřina SLABÁ (203 Česká republika, domácí), Hana OŠLEJŠKOVÁ (203 Česká republika, domácí), Štefánia AULICKÁ (703 Slovensko, domácí) a Igor NESTRASIL (garant)

Vydání

Nature Scientific Reports, BERLIN, NATURE PORTFOLIO, 2023, 2045-2322

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30210 Clinical neurology

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 4.600 v roce 2022

Kód RIV

RIV/00216224:14110/23:00134687

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.1038/s41598-023-43599-5

UT WoS

001086926800024

Klíčová slova anglicky

Multivariate linear mixture models; febrile seizure

Štítky

14110317, 14110320, podil, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 7. 3. 2024 08:53, Mgr. Eva Dubská

Anotace

V originále

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' 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 < 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) < 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.

Návaznosti

NU21-04-00305, projekt VaV

Název: Analýza transkriptomu a metylace DNA u pacientů s fokální kortikální dysplázií

Investor: Ministerstvo zdravotnictví ČR, Analýza transkriptomu a metylace DNA u pacientů s fokální kortikální dysplázií, Podprogram 1 - standardní

Citovat

PAPEŽ, Jan, Rene LABOUNEK, Petr JABANDŽIEV, Katarína ČESKÁ, Kateřina SLABÁ, Hana OŠLEJŠKOVÁ, Štefánia AULICKÁ a Igor NESTRASIL. Multivariate linear mixture models for the prediction of febrile seizure risk and recurrence: a prospective case-control study. Nature Scientific Reports. BERLIN: NATURE PORTFOLIO, 2023, roč. 13, č. 1, s. 1-12. ISSN 2045-2322. Dostupné z: https://dx.doi.org/10.1038/s41598-023-43599-5.

@article{2355297,
   author = {Papež, Jan and Labounek, Rene and Jabandžiev, Petr and Česká, Katarína and Slabá, Kateřina and Ošlejšková, Hana and Aulická, Štefánia and Nestrasil, Igor},
   article_location = {BERLIN},
   article_number = {1},
   doi = {http://dx.doi.org/10.1038/s41598-023-43599-5},
   keywords = {Multivariate linear mixture models; febrile seizure},
   language = {eng},
   issn = {2045-2322},
   journal = {Nature Scientific Reports},
   title = {Multivariate linear mixture models for the prediction of febrile seizure risk and recurrence: a prospective case-control study},
   url = {https://www.nature.com/articles/s41598-023-43599-5},
   volume = {13},
   year = {2023}
}

TY  - JOUR
ID  - 2355297
AU  - Papež, Jan - Labounek, Rene - Jabandžiev, Petr - Česká, Katarína - Slabá, Kateřina - Ošlejšková, Hana - Aulická, Štefánia - Nestrasil, Igor
PY  - 2023
TI  - Multivariate linear mixture models for the prediction of febrile seizure risk and recurrence: a prospective case-control study
JF  - Nature Scientific Reports
VL  - 13
IS  - 1
SP  - 1-12
EP  - 1-12
PB  - NATURE PORTFOLIO
SN  - 20452322
KW  - Multivariate linear mixture models
KW  - febrile seizure
UR  - https://www.nature.com/articles/s41598-023-43599-5
N2  - 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' 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 < 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) < 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.
ER  -

PAPEŽ, Jan, Rene LABOUNEK, Petr JABANDŽIEV, Katarína ČESKÁ, Kateřina SLABÁ, Hana OŠLEJŠKOVÁ, Štefánia AULICKÁ a Igor NESTRASIL. Multivariate linear mixture models for the prediction of febrile seizure risk and recurrence: a prospective case-control study. \textit{Nature Scientific Reports}. BERLIN: NATURE PORTFOLIO, 2023, roč.~13, č.~1, s.~1-12. ISSN~2045-2322. Dostupné z: https://dx.doi.org/10.1038/s41598-023-43599-5.

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