Literature DB >> 23624341

Stepwise web-based questionnaires for diagnosing cluster headache: LUCA and QATCH.

Leopoldine A Wilbrink1, Claudia M Weller, Carlo Cheung, Theo Stijnen, Joost Haan, Michel D Ferrari, Gisela M Terwindt.   

Abstract

BACKGROUND: Cluster headache (CH) is a primary headache disorder that is diagnosed based on the patient's history. For large-scale epidemiologic and genetic studies, a web-based, preferably short, questionnaire can be a feasible alternative to replace time-consuming clinical interviews.
METHODS: Self-reported CH patients were enrolled via our research website. Participants meeting screening criteria were directed to the Leiden University Cluster headache Analysis program (LUCA) questionnaire. Individual diagnoses were calculated using an algorithm based on International Headache Society criteria. Subsequently, semi-structured telephone interviews were carried out to validate the LUCA questionnaire. The shorter Quick Ascertainment of Cluster Headache (QATCH) questionnaire for diagnosing CH was constructed by using logistic regression to select the most predictive questions.
RESULTS: Via our website 437 self-reported CH patients were recruited. Of these, 291 patients were included in this cross-sectional study. The LUCA questionnaire was valid and accurate. Using logistic regression, three questions (QATCH) provided similar sensitivity (53.8% vs. 57.2%), specificity (88.9% vs. 87.5%), positive predictive value (95.5% vs. 95.9%) and negative predictive value (30.8% vs. 28.8%) compared with the LUCA questionnaire.
CONCLUSION: The web-based LUCA questionnaire was accurate and reliable in diagnosing CH among self-reported patients. Males with headache attacks of short duration and long headache-free intervals (months to years) are very likely to have CH.

Entities:  

Keywords:  Cluster headache; LUCA; genetics; questionnaires; validation

Mesh:

Year:  2013        PMID: 23624341     DOI: 10.1177/0333102413479835

Source DB:  PubMed          Journal:  Cephalalgia        ISSN: 0333-1024            Impact factor:   6.292


  6 in total

1.  Identifying a gene expression signature of cluster headache in blood.

Authors:  Else Eising; Nadine Pelzer; Lisanne S Vijfhuizen; Boukje de Vries; Michel D Ferrari; Peter A C 't Hoen; Gisela M Terwindt; Arn M J M van den Maagdenberg
Journal:  Sci Rep       Date:  2017-01-11       Impact factor: 4.379

2.  Chronobiology and Sleep in Cluster Headache.

Authors:  Ilse F de Coo; Willebrordus P J van Oosterhout; Leopoldine A Wilbrink; Erik W van Zwet; Michel D Ferrari; Rolf Fronczek
Journal:  Headache       Date:  2019-05-31       Impact factor: 5.887

3.  Development and Evaluation of a Screening Tool to Aid the Diagnosis of a Cluster Headache.

Authors:  Alina Buture; Jason W Boland; Lisa Dikomitis; Chao Huang; Fayyaz Ahmed
Journal:  Brain Sci       Date:  2020-02-01

4.  Aura in Cluster Headache: A Cross-Sectional Study.

Authors:  Ilse F de Coo; Leopoldine A Wilbrink; Gaby D Ie; Joost Haan; Michel D Ferrari
Journal:  Headache       Date:  2018-06-22       Impact factor: 5.887

5.  Increased use of illicit drugs in a Dutch cluster headache population.

Authors:  Ilse F de Coo; Willemijn C Naber; Leopoldine A Wilbrink; Joost Haan; Michel D Ferrari; Rolf Fronczek
Journal:  Cephalalgia       Date:  2018-10-05       Impact factor: 6.292

6.  A brief diagnostic screen for cluster headache: Creation and initial validation of the Erwin Test for Cluster Headache.

Authors:  Randika Parakramaweera; Randolph W Evans; Larry I Schor; Stuart M Pearson; Rebecca Martinez; Jacob S Cammarata; Amisha J Amin; Seung-Hee Yoo; Wei Zhang; Yuanqing Yan; Mark J Burish
Journal:  Cephalalgia       Date:  2021-06-20       Impact factor: 6.292

  6 in total

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