Predicting psychogenic non-epileptic seizures from serum levels of neuropeptide y and adrenocorticotropic hormone

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Predicting psychogenic non-epileptic seizures from serum levels of neuropeptide y and adrenocorticotropic hormone. / Miani, Alessandro; Pedersen, Anders Sune; Rask, Charlotte Ulrikka; Uber-Zak, Lori; Zak, Paul J.; Winterdahl, Michael.

In: Acta Neuropsychiatrica, Vol. 31, No. 3, 06.2019, p. 167-171.

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@article{5fca8e4124d143c1a2d83bd87a23a1a8,
title = "Predicting psychogenic non-epileptic seizures from serum levels of neuropeptide y and adrenocorticotropic hormone",
abstract = "Objective Patients with psychogenic non-epileptic seizures (PNES) may present with convulsive events that are not accompanied by epileptiform brain activity. Video-electroencephalography (EEG) monitoring is the gold standard for diagnosis, yet not all patients experience convulsive episodes during video-EEG sessions. Hence, we aimed to construct a predictive model in order to detect PNES from serum hormone levels, detached from an evaluation of patients' convulsive episodes.Methods Fifteen female patients with PNES and 60 healthy female controls participated in the study, providing blood samples for hormone analysis. A binomial logistic regression model and the leave-one-out cross-validation were employed.Results We found that levels of neuropeptide Y and adrenocorticotropic hormone were the optimal combination of predictors, with over 90% accuracy (area under the curve=0.980).Conclusions The ability to diagnose PNES irrespective of convulsive events would represent an important step considering its feasibility and affordability in daily clinical practice.",
keywords = "adrenocorticotropic hormone, diagnosis, neuropeptide Y, seizures, serum",
author = "Alessandro Miani and Pedersen, {Anders Sune} and Rask, {Charlotte Ulrikka} and Lori Uber-Zak and Zak, {Paul J.} and Michael Winterdahl",
year = "2019",
month = jun,
doi = "10.1017/neu.2019.3",
language = "English",
volume = "31",
pages = "167--171",
journal = "Acta Neuropsychiatrica",
issn = "0924-2708",
publisher = "Cambridge University Press",
number = "3",

}

RIS

TY - JOUR

T1 - Predicting psychogenic non-epileptic seizures from serum levels of neuropeptide y and adrenocorticotropic hormone

AU - Miani, Alessandro

AU - Pedersen, Anders Sune

AU - Rask, Charlotte Ulrikka

AU - Uber-Zak, Lori

AU - Zak, Paul J.

AU - Winterdahl, Michael

PY - 2019/6

Y1 - 2019/6

N2 - Objective Patients with psychogenic non-epileptic seizures (PNES) may present with convulsive events that are not accompanied by epileptiform brain activity. Video-electroencephalography (EEG) monitoring is the gold standard for diagnosis, yet not all patients experience convulsive episodes during video-EEG sessions. Hence, we aimed to construct a predictive model in order to detect PNES from serum hormone levels, detached from an evaluation of patients' convulsive episodes.Methods Fifteen female patients with PNES and 60 healthy female controls participated in the study, providing blood samples for hormone analysis. A binomial logistic regression model and the leave-one-out cross-validation were employed.Results We found that levels of neuropeptide Y and adrenocorticotropic hormone were the optimal combination of predictors, with over 90% accuracy (area under the curve=0.980).Conclusions The ability to diagnose PNES irrespective of convulsive events would represent an important step considering its feasibility and affordability in daily clinical practice.

AB - Objective Patients with psychogenic non-epileptic seizures (PNES) may present with convulsive events that are not accompanied by epileptiform brain activity. Video-electroencephalography (EEG) monitoring is the gold standard for diagnosis, yet not all patients experience convulsive episodes during video-EEG sessions. Hence, we aimed to construct a predictive model in order to detect PNES from serum hormone levels, detached from an evaluation of patients' convulsive episodes.Methods Fifteen female patients with PNES and 60 healthy female controls participated in the study, providing blood samples for hormone analysis. A binomial logistic regression model and the leave-one-out cross-validation were employed.Results We found that levels of neuropeptide Y and adrenocorticotropic hormone were the optimal combination of predictors, with over 90% accuracy (area under the curve=0.980).Conclusions The ability to diagnose PNES irrespective of convulsive events would represent an important step considering its feasibility and affordability in daily clinical practice.

KW - adrenocorticotropic hormone

KW - diagnosis

KW - neuropeptide Y

KW - seizures

KW - serum

UR - http://www.scopus.com/inward/record.url?scp=85063738317&partnerID=8YFLogxK

U2 - 10.1017/neu.2019.3

DO - 10.1017/neu.2019.3

M3 - Journal article

C2 - 30929648

AN - SCOPUS:85063738317

VL - 31

SP - 167

EP - 171

JO - Acta Neuropsychiatrica

JF - Acta Neuropsychiatrica

SN - 0924-2708

IS - 3

ER -