Inverse association of obesity with bout periodicity in episodic cluster headache: a multicenter cross-sectional study.

IF 7.3 1区 医学 Q1 CLINICAL NEUROLOGY
Byung-Su Kim, Mi Ji Lee, Byung-Kun Kim, Jong-Hee Sohn, Tae-Jin Song, Min Kyung Chu, Soo-Kyoung Kim, Jeong Wook Park, Heui-Soo Moon, Pil-Wook Chung, Soo-Jin Cho
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引用次数: 0

Abstract

Background: Cluster headache (CH) is the most painful headache disorder. Despite a large body of evidence on obesity's negative influence on migraine, its impact on cluster headache disease activity remains unexplored. We aimed to determine whether body mass index (BMI) and obesity are associated with lifetime bout occurrence and annual bout frequency in patients with episodic cluster headache (ECH).

Methods: The Korean Cluster Headache Registry (KCHR) is a prospective, multicenter registry of consecutive patients with CH over 4 years. This cross-sectional study included 316 eligible patients with ECH, with ≥ 2 years of duration of CH disease and ≥ 2 times of lifetime bout occurrence. Obesity was determined using the Asia-Pacific classification (obese: BMI ≥ 25.0 kg/m2). Bout frequency was defined as an average annual number of bout occurrence: number of lifetime bout occurrence divided by total duration of CH disease. The main outcomes included odds ratios (ORs) of BMI and obesity for quartiles of lifetime bout occurrence and annual bout frequency by performing ordinal logistic regression analysis.

Results: The mean (SD) age of the patients was 37 (9.7); 50 (15.8%) were female. The mean (SD) BMI was 23.9 (3.2) kg/m2; 105 (33.2%) were obese. The median (interquartile range) duration of CH disease was 10 (6-16) years; lifetime bout occurrence was 7 (4-12); and annual bout frequency was 0.88 (0.5-1.10). In multivariable adjusted models, OR of BMI (per 1 kg/m2) and the obese group for lifetime bout occurrence were 0.89; 95% CI, 0.84-0.95 and 0.40; 95% CI, 0.23-0.68. Age, BMI, and seasonal propensity were associated factors for annual bout frequency. After multivariable adjustment, BMI and obesity were inversely associated with annual bout frequency (BMI per 1 kg/m2 OR: 0.92; 95% CI: 0.86-0.98 and obese OR: 0.52; 95% CI: 0.32-0.86).

Conclusions: BMI and obesity were inversely associated with lifetime bout occurrence and annual bout frequency in ECH, suggesting that neurobiological aspects of obesity may suppress cluster bout periodicity.

肥胖与发作性丛集性头痛发作周期的负相关:一项多中心横断面研究。
背景:丛集性头痛(CH)是最痛苦的头痛疾病。尽管有大量证据表明肥胖对偏头痛有负面影响,但其对丛集性头痛疾病活动的影响仍未被探索。我们的目的是确定身体质量指数(BMI)和肥胖是否与发作性丛集性头痛(ECH)患者一生发作次数和每年发作频率相关。方法:韩国丛集性头痛登记(KCHR)是一项前瞻性、多中心登记,包括连续4年以上的丛集性头痛患者。本横断面研究纳入了316例符合条件的ECH患者,这些患者病程≥2年,一生中发作次数≥2次。肥胖采用亚太分类(肥胖:BMI≥25.0 kg/m2)。发作频率定义为平均每年发作次数:一生发作次数除以总病程。通过有序logistic回归分析,主要结局包括BMI和肥胖终生发作四分位数的比值比(ORs)和年发作频率。结果:患者平均(SD)年龄为37岁(9.7岁);女性50例(15.8%)。BMI均值(SD)为23.9 (3.2)kg/m2;肥胖105例(33.2%)。CH疾病持续时间的中位数(四分位数范围)为10(6-16)年;终生发病7例(4 ~ 12例);年发病次数为0.88次(0.5 ~ 1.10次)。在多变量调整模型中,BMI(每1 kg/m2)与肥胖组终生发作的OR为0.89;95% CI, 0.84-0.95和0.40;95% ci, 0.23-0.68。年龄、BMI和季节倾向是年发作频率的相关因素。经多变量调整后,BMI和肥胖与年发作频率呈负相关(BMI / 1 kg/m2 OR: 0.92;95% CI: 0.86-0.98,肥胖OR: 0.52;95% ci: 0.32-0.86)。结论:BMI和肥胖与ECH终生发作次数和年发作次数呈负相关,提示肥胖的神经生物学方面可能抑制聚集性发作的周期性。
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来源期刊
Journal of Headache and Pain
Journal of Headache and Pain 医学-临床神经学
CiteScore
11.80
自引率
13.50%
发文量
143
审稿时长
6-12 weeks
期刊介绍: The Journal of Headache and Pain, a peer-reviewed open-access journal published under the BMC brand, a part of Springer Nature, is dedicated to researchers engaged in all facets of headache and related pain syndromes. It encompasses epidemiology, public health, basic science, translational medicine, clinical trials, and real-world data. With a multidisciplinary approach, The Journal of Headache and Pain addresses headache medicine and related pain syndromes across all medical disciplines. It particularly encourages submissions in clinical, translational, and basic science fields, focusing on pain management, genetics, neurology, and internal medicine. The journal publishes research articles, reviews, letters to the Editor, as well as consensus articles and guidelines, aimed at promoting best practices in managing patients with headaches and related pain.
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