Hospital Anxiety and Depression Scale-Anxiety subscale (HADS-A) and The State-Trait Anxiety Inventory (STAI) accuracy for anxiety disorders detection in drug-resistant mesial temporal lobe epilepsy patients.


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
01 03 2019
Historique:
received: 04 07 2018
revised: 18 11 2018
accepted: 23 12 2018
pubmed: 2 1 2019
medline: 2 4 2019
entrez: 2 1 2019
Statut: ppublish

Résumé

Mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS) is the most prevalent type of surgically remediable epilepsy and highly associated with psychiatric comorbidities. This study aimed to evaluate Hospital anxiety and depression scale-anxiety subscale (HADS-A) and The State-Trait Anxiety Inventory - Trait subscale (STAI-T) accuracy for detection of anxiety disorders in patients with drug-resistant MTLE-HS. One hundred three consecutive patients with drug-resistant MTLE-HS were enrolled. Diagnosis was based on the anamnesis, neurological examination, video-electroencephalogram (VEEG) analyses, and magnetic resonance imaging (MRI). Psychiatric interviews were based on DSM-IV-TR criteria and ILAE Commission of Psychobiology classification as a gold standard; HADS-A and STAI-T were used as psychometric diagnostic tests, and receiver operating characteristic (ROC) curves were used to determine the optimal threshold scores. The areas under the curve (AUCs) were higher than 0.7 (0.6-0.8) for both scales. The STAI-T cutoff point of ˃53 and the HADS-A cutoff point of ˃7 showed both around of 80% (44.4-97.7) sensitivity and 80% (66.9-86.9) and 60% (46.5-68.6) of specificity, respectively. In this sample the prevalence of anxiety disorders was 11.7% and both scales showed a high negative predictive value such as 96% (87.1-99.0) but low positive predictive value such as 30% (22.1-45.2) and 20% (15.0-27.2) respectively. The small number of cases in the diagnostic population; the results are only applied to drug resistant MTLE-HS; the psychiatric diagnosis were not based on a structured psychiatric interview; possible observer bias in 7 illiterate patients; the antidepressant treatment was not controlled. In MTLE-HS, STAI-T and HADS-A had a similar and low positive predictive value and high negative predictive value. The implications for the HADS-A and STAI-T usefulness for anxiety disorders screening in patients with other epilepsies types deserve further investigations. If replicated in other populations, these findings may have important relevance for the presurgical screening of anxiety disorders in MTLE-HS patients who are candidates to epilepsy surgery.

Sections du résumé

BACKGROUND
Mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS) is the most prevalent type of surgically remediable epilepsy and highly associated with psychiatric comorbidities. This study aimed to evaluate Hospital anxiety and depression scale-anxiety subscale (HADS-A) and The State-Trait Anxiety Inventory - Trait subscale (STAI-T) accuracy for detection of anxiety disorders in patients with drug-resistant MTLE-HS.
METHODS
One hundred three consecutive patients with drug-resistant MTLE-HS were enrolled. Diagnosis was based on the anamnesis, neurological examination, video-electroencephalogram (VEEG) analyses, and magnetic resonance imaging (MRI). Psychiatric interviews were based on DSM-IV-TR criteria and ILAE Commission of Psychobiology classification as a gold standard; HADS-A and STAI-T were used as psychometric diagnostic tests, and receiver operating characteristic (ROC) curves were used to determine the optimal threshold scores.
RESULTS
The areas under the curve (AUCs) were higher than 0.7 (0.6-0.8) for both scales. The STAI-T cutoff point of ˃53 and the HADS-A cutoff point of ˃7 showed both around of 80% (44.4-97.7) sensitivity and 80% (66.9-86.9) and 60% (46.5-68.6) of specificity, respectively. In this sample the prevalence of anxiety disorders was 11.7% and both scales showed a high negative predictive value such as 96% (87.1-99.0) but low positive predictive value such as 30% (22.1-45.2) and 20% (15.0-27.2) respectively.
LIMITATIONS
The small number of cases in the diagnostic population; the results are only applied to drug resistant MTLE-HS; the psychiatric diagnosis were not based on a structured psychiatric interview; possible observer bias in 7 illiterate patients; the antidepressant treatment was not controlled.
CONCLUSIONS
In MTLE-HS, STAI-T and HADS-A had a similar and low positive predictive value and high negative predictive value. The implications for the HADS-A and STAI-T usefulness for anxiety disorders screening in patients with other epilepsies types deserve further investigations. If replicated in other populations, these findings may have important relevance for the presurgical screening of anxiety disorders in MTLE-HS patients who are candidates to epilepsy surgery.

Identifiants

pubmed: 30599368
pii: S0165-0327(18)31452-6
doi: 10.1016/j.jad.2018.12.072
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

452-457

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Bianca de Lemos Zingano (BL)

Centro de Epilepsia de Santa Catarina (CEPESC), Hospital Universitário (HU), Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil; Serviço de Psiquiatria, Hospital Governador Celso Ramos (HGCR), Florianópolis, SC, Brazil; Centro de Neurociências Aplicadas (CeNAp), HU, UFSC, Florianópolis, SC, Brazil. Electronic address: biancazingano@gmail.com.

Ricardo Guarnieri (R)

Centro de Epilepsia de Santa Catarina (CEPESC), Hospital Universitário (HU), Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil; Centro de Neurociências Aplicadas (CeNAp), HU, UFSC, Florianópolis, SC, Brazil; Serviço de Psiquiatria, HU-UFSC, Florianópolis, SC, Brazil.

Alexandre Paim Diaz (AP)

Centro de Epilepsia de Santa Catarina (CEPESC), Hospital Universitário (HU), Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil; Centro de Neurociências Aplicadas (CeNAp), HU, UFSC, Florianópolis, SC, Brazil; Serviço de Psiquiatria, HU-UFSC, Florianópolis, SC, Brazil; Programa de Pós-Graduação em Ciências da Saúde, Universidade do Sul de Santa Catarina (UNISUL), Palhoça, SC, Brazil.

Marcelo Libório Schwarzbold (ML)

Centro de Epilepsia de Santa Catarina (CEPESC), Hospital Universitário (HU), Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil; Centro de Neurociências Aplicadas (CeNAp), HU, UFSC, Florianópolis, SC, Brazil; Serviço de Psiquiatria, HU-UFSC, Florianópolis, SC, Brazil.

Peter Wolf (P)

Serviço de Neurologia, HU-UFSC, Florianópolis, SC, Brazil; Departamento de Clínica Médica, HU-UFSC, Florianópolis, SC, Brazil; Danish Epilepsy Center, Dianalund, Denmark.

Katia Lin (K)

Centro de Epilepsia de Santa Catarina (CEPESC), Hospital Universitário (HU), Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil; Centro de Neurociências Aplicadas (CeNAp), HU, UFSC, Florianópolis, SC, Brazil; Serviço de Neurologia, HU-UFSC, Florianópolis, SC, Brazil; Departamento de Clínica Médica, HU-UFSC, Florianópolis, SC, Brazil.

Roger Walz (R)

Centro de Epilepsia de Santa Catarina (CEPESC), Hospital Universitário (HU), Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, Brazil; Centro de Neurociências Aplicadas (CeNAp), HU, UFSC, Florianópolis, SC, Brazil; Serviço de Neurologia, HU-UFSC, Florianópolis, SC, Brazil; Departamento de Clínica Médica, HU-UFSC, Florianópolis, SC, Brazil.

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