The spectrum of cluster headache: A case report of 4600 attacks

Research output: Contribution to journalJournal articleResearchpeer-review

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The spectrum of cluster headache : A case report of 4600 attacks. / Hagedorn, Andreas; Snoer, Agneta; Jensen, Rigmor; Haddock, Bryan; Barloese, Mads.

In: Cephalalgia, Vol. 39, No. 9, 2019, p. 1134-1142.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Hagedorn, A, Snoer, A, Jensen, R, Haddock, B & Barloese, M 2019, 'The spectrum of cluster headache: A case report of 4600 attacks', Cephalalgia, vol. 39, no. 9, pp. 1134-1142. https://doi.org/10.1177/0333102419833081

APA

Hagedorn, A., Snoer, A., Jensen, R., Haddock, B., & Barloese, M. (2019). The spectrum of cluster headache: A case report of 4600 attacks. Cephalalgia, 39(9), 1134-1142. https://doi.org/10.1177/0333102419833081

Vancouver

Hagedorn A, Snoer A, Jensen R, Haddock B, Barloese M. The spectrum of cluster headache: A case report of 4600 attacks. Cephalalgia. 2019;39(9):1134-1142. https://doi.org/10.1177/0333102419833081

Author

Hagedorn, Andreas ; Snoer, Agneta ; Jensen, Rigmor ; Haddock, Bryan ; Barloese, Mads. / The spectrum of cluster headache : A case report of 4600 attacks. In: Cephalalgia. 2019 ; Vol. 39, No. 9. pp. 1134-1142.

Bibtex

@article{1547aa8ab0fc444db87ce897a2d03490,
title = "The spectrum of cluster headache: A case report of 4600 attacks",
abstract = "Introduction: Knowledge of the clinical features of cluster headache is mainly based on retrospective and cross-sectional studies. Here, we present a case of a chronic cluster headache patient who prospectively recorded timing and clinical features of all attacks for 6 years, aiming to describe the clinical spectrum and timing of cluster headache symptoms experienced and to identify daily and/or seasonal rhythmicity. Methods: Registration of attack timing, duration, associated symptoms and severity was done prospectively on a smartphone application. Pain severity was recorded on a 0–10 scale. Attacks were divided into mild, moderate, severe, and very severe. We analysed diurnal rhythmicity by multimodal Gaussian analysis and spectral analysis. Results: In total, 4600 attacks were registered (mean duration 39.3 (SD 18.5) min. Mean severity 3.6 (SD 1.28)). Mild attacks accounted for 14.2%, moderate 65.7%, severe 16.9% and very severe 3.2% of all attacks. Nocturnal attacks were more severe than daytime attacks. The number of autonomic symptoms and duration of attacks increased with pain severity. Peak chronorisk (risk of attacks occurring according to hour of day) was at 12.48 in the registration period. Over time, circadian rhythmicity and attack frequency varied. Conclusion: Clinical characteristics of cluster headache attacks can vary greatly within the individual patient. Clinicians attempting to personalise the administration of preventive treatment should pay notice to the variation over time in diurnal rhythmicity. The recorded self-limiting mild attacks that do not fulfill the ICHD-3 criteria for a cluster headache attack warrant further investigation, as they could hold important information about disease activity.",
keywords = "autonomic nervous system, chronobiology, Cluster headache",
author = "Andreas Hagedorn and Agneta Snoer and Rigmor Jensen and Bryan Haddock and Mads Barloese",
year = "2019",
doi = "10.1177/0333102419833081",
language = "English",
volume = "39",
pages = "1134--1142",
journal = "Cephalalgia",
issn = "0800-1952",
publisher = "SAGE Publications",
number = "9",

}

RIS

TY - JOUR

T1 - The spectrum of cluster headache

T2 - A case report of 4600 attacks

AU - Hagedorn, Andreas

AU - Snoer, Agneta

AU - Jensen, Rigmor

AU - Haddock, Bryan

AU - Barloese, Mads

PY - 2019

Y1 - 2019

N2 - Introduction: Knowledge of the clinical features of cluster headache is mainly based on retrospective and cross-sectional studies. Here, we present a case of a chronic cluster headache patient who prospectively recorded timing and clinical features of all attacks for 6 years, aiming to describe the clinical spectrum and timing of cluster headache symptoms experienced and to identify daily and/or seasonal rhythmicity. Methods: Registration of attack timing, duration, associated symptoms and severity was done prospectively on a smartphone application. Pain severity was recorded on a 0–10 scale. Attacks were divided into mild, moderate, severe, and very severe. We analysed diurnal rhythmicity by multimodal Gaussian analysis and spectral analysis. Results: In total, 4600 attacks were registered (mean duration 39.3 (SD 18.5) min. Mean severity 3.6 (SD 1.28)). Mild attacks accounted for 14.2%, moderate 65.7%, severe 16.9% and very severe 3.2% of all attacks. Nocturnal attacks were more severe than daytime attacks. The number of autonomic symptoms and duration of attacks increased with pain severity. Peak chronorisk (risk of attacks occurring according to hour of day) was at 12.48 in the registration period. Over time, circadian rhythmicity and attack frequency varied. Conclusion: Clinical characteristics of cluster headache attacks can vary greatly within the individual patient. Clinicians attempting to personalise the administration of preventive treatment should pay notice to the variation over time in diurnal rhythmicity. The recorded self-limiting mild attacks that do not fulfill the ICHD-3 criteria for a cluster headache attack warrant further investigation, as they could hold important information about disease activity.

AB - Introduction: Knowledge of the clinical features of cluster headache is mainly based on retrospective and cross-sectional studies. Here, we present a case of a chronic cluster headache patient who prospectively recorded timing and clinical features of all attacks for 6 years, aiming to describe the clinical spectrum and timing of cluster headache symptoms experienced and to identify daily and/or seasonal rhythmicity. Methods: Registration of attack timing, duration, associated symptoms and severity was done prospectively on a smartphone application. Pain severity was recorded on a 0–10 scale. Attacks were divided into mild, moderate, severe, and very severe. We analysed diurnal rhythmicity by multimodal Gaussian analysis and spectral analysis. Results: In total, 4600 attacks were registered (mean duration 39.3 (SD 18.5) min. Mean severity 3.6 (SD 1.28)). Mild attacks accounted for 14.2%, moderate 65.7%, severe 16.9% and very severe 3.2% of all attacks. Nocturnal attacks were more severe than daytime attacks. The number of autonomic symptoms and duration of attacks increased with pain severity. Peak chronorisk (risk of attacks occurring according to hour of day) was at 12.48 in the registration period. Over time, circadian rhythmicity and attack frequency varied. Conclusion: Clinical characteristics of cluster headache attacks can vary greatly within the individual patient. Clinicians attempting to personalise the administration of preventive treatment should pay notice to the variation over time in diurnal rhythmicity. The recorded self-limiting mild attacks that do not fulfill the ICHD-3 criteria for a cluster headache attack warrant further investigation, as they could hold important information about disease activity.

KW - autonomic nervous system

KW - chronobiology

KW - Cluster headache

U2 - 10.1177/0333102419833081

DO - 10.1177/0333102419833081

M3 - Journal article

C2 - 30913909

AN - SCOPUS:85063596056

VL - 39

SP - 1134

EP - 1142

JO - Cephalalgia

JF - Cephalalgia

SN - 0800-1952

IS - 9

ER -

ID: 235784318