Epidemiology, Characteristics and Distinctiveness of Headaches in Children from Vojvodina, Serbia

Knezevic-Pogancev, Marija

doi:10.1159/000151513

Cited by 9 publications

(2 citation statements)

References 38 publications

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“…Indeed, migraine is a significant concern among children and adolescents as well. Numerous school-based surveys with a narrow focus on specific age groups have been conducted to assess the prevalence of migraine among children and adolescents [31][32][33][34][35][36][37][38][39][40][41][42][43][44][45]. According to recent school-based studies worldwide, the prevalence of migraine among children and adolescents ranges from 1.7% to 11.0% [22].…”

Section: Migraine Among Children and Adolescentsmentioning

confidence: 99%

Developing an Artificial Intelligence-Based Pediatric and Adolescent Migraine Diagnostic Model

Sasaki,

Katsuki,

Kawahara

et al. 2023

Cureus

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Introduction Misdiagnosis of pediatric and adolescent migraine is a significant problem. The first artificial intelligence (AI)-based pediatric migraine diagnosis model was made utilizing a database of questionnaires obtained from a previous epidemiological study, the Itoigawa Benizuwaigani Study. Methods The AI-based headache diagnosis model was created based on the internal validation based on a retrospective investigation of 909 patients (636 training dataset for model development and 273 test dataset for internal validation) aged six to 17 years diagnosed based on the International Classification of Headache Disorders 3rd edition. The diagnostic performance of the AI model was evaluated. Results The dataset included 234/909 (25.7%) pediatric or adolescent patients with migraine. The mean age was 11.3 (standard deviation 3.17) years. The model’s accuracy, sensitivity (recall), specificity, precision, and F-values for the test dataset were 94.5%, 88.7%, 96.5%, 90.0%, and 89.4%, respectively. Conclusions The AI model exhibited high diagnostic performance for pediatric and adolescent migraine. It holds great potential as a powerful tool for diagnosing these conditions, especially when secondary headaches are ruled out. Nonetheless, further data collection and external validation are necessary to enhance the model’s performance and ensure its applicability in real-world settings.

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Section: Migraine Among Children and Adolescentsmentioning

confidence: 99%

Developing an Artificial Intelligence-Based Pediatric and Adolescent Migraine Diagnostic Model

Sasaki,

Katsuki,

Kawahara

et al. 2023

Cureus

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“…Recurrent headache is a common complain, occurring in over 90% of general population. Migraine is the most frequent recurrent headache in children (KNEŽEVIĆ-POGANČEV 2008). The mechanisms underlying the recurrent headache are largly unknown (GARGUS 2009).…”

Section: Introductionmentioning

confidence: 99%

Recurrent headache and migraine heritability: Twin study

Knezevic-Pogancev

2011

Genetika

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The aim of the study was to determine recurrent headache (migraine and non-migraine) heritability, among the twin pairs. Headache hritability was investigated among 396 twin pairs (42.4% monozygotic and 57.6% dizygotic) aged 3 to 21 years, on north part territory of Serbia-Vojvodina, during the 20 years period. Within the group of tested twin persons, 30.2% had recurrent headaches, 9.2% migraine headache and 21% other recurrent non-migraine headaches. Heritability quotient of all recurrent headaches was 0.3882. For non- migraine headaches heritability quotient of 0.2286 confirmed that the external factors influence is higher than heritability. Migraine headache heritability quotient 0.8598 clearly proved the heritability of the migraine headache. Both, correlation and determination quotient of the migraine headache of all the twins (r12 0.7498; r21256.12%), monozygotic (r120.8458; r1271.54%) and dizygotic (r120.6342; r21240.22%), show high degree of migraine headache twin siblings dependence, and higher correlation and significance of the difference with monozygotic twins

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Epidemiology of Migraine and Headache in Children and Adolescents

Wöber‐Bingöl

2013

Curr Pain Headache Rep

288

231

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Migraine and headache are global disabling conditions causing considerable individual suffering and impaired quality of life in adults as well as in children and adolescents. Therefore, epidemiological studies are essential to assess the scope of the problem. This review covers epidemiological studies on migraine and headache in children and adolescents published in the past 25 years. A total of 64 cross-sectional studies have been identified, published in 32 different countries and including a total of 227,249 subjects. The estimated overall mean prevalence of headache was 54.4% (95% CI 43.1-65.8) and the overall mean prevalence of migraine was 9.1% (95% CI 7.1-11.1). There is a lack of population-based studies from low and low-middle income countries. In addition, there is very little information about the prevalence of probable migraine and chronic migraine and no information about menstrual migraine in the young.

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Epidemiology, Characteristics and Distinctiveness of Headaches in Children from Vojvodina, Serbia

Cited by 9 publications

References 38 publications

Developing an Artificial Intelligence-Based Pediatric and Adolescent Migraine Diagnostic Model

Developing an Artificial Intelligence-Based Pediatric and Adolescent Migraine Diagnostic Model

Recurrent headache and migraine heritability: Twin study

Epidemiology of Migraine and Headache in Children and Adolescents

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