Evidence map›Paper›PMID 40892835›Full record

ArticlePloS one2025

The role of kindling mechanism: A validation study of the Hungarian version of the Prediction of Alcohol Withdrawal Severity Scale.

Otília Bagi, Bettina Kata Kádár, Fanni Fruzsina Farkas, Janka Gajdics, Ildikó Katalin Pribék, Bence András Lázár

Abstract readValidation Study
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Otília BagiAddiction Research Group, Department of Psychiatry, University of Szeged, Szeged, Hungary.
Bettina Kata KádárAddiction Research Group, Department of Psychiatry, University of Szeged, Szeged, Hungary.
Fanni Fruzsina FarkasAddiction Research Group, Department of Psychiatry, University of Szeged, Szeged, Hungary.
Janka GajdicsAddiction Research Group, Department of Psychiatry, University of Szeged, Szeged, Hungary.
Ildikó Katalin PribékAddiction Research Group, Department of Psychiatry, University of Szeged, Szeged, Hungary.
Bence András LázárAddiction Research Group, Department of Psychiatry, University of Szeged, Szeged, Hungary.ORCID https://orcid.org/0000-0003-0865-8950

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly recognition of the complicated form of alcohol withdrawal syndrome (c-AWS) is critical. The Prediction of Alcohol Withdrawal Severity Scale (PAWSS) was developed for the risk analysis of the development of c-AWS. According to the kindling mechanism, the history of previous c-AWS has a pivotal role in the development of current c-AWS. The aims of this study were to reveal (1) the psychometric characteristics of the PAWSS among patients with alcohol withdrawal syndrome (AWS) and alcohol dependence syndrome (ADS) and (2) the role of kindling mechanism in the development of c-AWS by using the PAWSS.

methodsThis study enrolled 70 inpatients with ADS and AWS. The severity of dependence was measured using the Alcohol Use Disorder Identification Test and the Severity of Alcohol Dependence Questionnaire. Statistical analyses were performed using receiver operating characteristic (ROC) analysis, binary logistic regressions, and for the inter-rater reliability analysis Cohen's Kappa coefficient was calculated.

resultsROC analysis showed that > 6 is the optimal cutoff point for the Hungarian version of the PAWSS. In the case of predictive validity, higher PAWSS score (p < 0.001) predicted current c-AWS. Furthermore, the history of c-AWS (p < 0.001) was a significant variable for current c-AWS. The Cohen's Kappa coefficient resulted in being 1.

conclusionsThe probability of current c-AWS was 12 times higher among patients with PAWSS scores of 6 or higher. The chance of current c-AWS was almost 7 times higher in the case of history of c-AWS. These findings suggest that the Hungarian version of PAWSS is a valid and reliable clinical tool for assessing the risk of c-AWS, and highlight the importance of the kindling mechanism in the background of c-AWS.

Indexed as

AlcoholismKindling, NeurologicSubstance Withdrawal SyndromeAdultFemaleHumansHungaryMaleMiddle AgedPsychometricsReproducibility of ResultsROC CurveSeverity of Illness IndexSurveys and Questionnaires

Identifiers

PMID40892835
PMCPMC12404368

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.