recent research published in the journal Headache.
, according to“[T]he burden and impact of migraine on the individual both during and between attacks were identified through supervised machine learning models to be strongly associated with seeking care,” Sait Ashina, MD, of the department of neurology at Harvard Medical School in Boston, and colleagues wrote in their study.
Dr. Ashina and colleagues performed a cross-sectional study of 61,826 patients from the web-based ObserVational survey of the Epidemiology, tReatment and Care Of MigrainE (OVERCOME) study with migraine who visited a primary care, specialty care, or urgent care, or emergency setting for headache between 2018 and 2020.
The patients recruited for OBSERVE were a mean of 41.7 years old and had experienced migraines for an average of 19.0 years; 59.4% had between 0 and 3 average headache days per month, 74.5% were women, 78.8% were White, and 85.4% had health insurance; and they were demographically representative of the US population.
Researchers used a machine learning model, which consisted of random forest and least absolute shrinkage and selection operator (LASSO) algorithms, to identify the relationship between patients who sought care for migraine and 54 different clinical, sociodemographic, and migraine-associated factors, which included age, years with migraine, symptom scores, pain intensity scores, disability score, comorbidities, vomiting, presence and severity of allodynia, and other factors.
The results showed 31,529 patients (51.0%) had an in-person or e-visit encounter with a primary care, specialty care, or urgent care, or emergency care location within 12 months of the survey, and were mostly White (76.5%) women (73.3%) with health insurance (88.9%). Of the patients who sought care, 52.8% had severe interictal burden measured by Migraine Interictal Burden Scale-4 score, compared with 23.1% of patients who did not seek care. Compared with patients who did not seek care, those who did visit a health care setting for migraine had a higher percentage of severe migraine-related disability as measured by the Migraine Disability Assessment Scale (36.7% vs 14.6%) and severe ictal cutaneous allodynia as measured by the Allodynia Symptom Checklist (21.0% vs 7.4%).
In a multivariable logistic regression model analysis, Dr. Ashina and colleagues said the factors most associated with seeking care included severe interictal burden (odds ratio [OR], 2.64; 95% confidence interval [CI], 2.5-2.8), severe migraine-related disability (OR, 2.2; 95% CI, 2.0-2.3), and severe ictal allodynia (OR, 1.7; 95% CI, 1.6-1.8), compared with less severe factors.
The researchers said their results have “significant implications for public health and advocacy efforts.”
“As seen through three decades of epidemiological research in the United States, rates of care-seeking have not improved dramatically over time despite significant additions to scientific knowledge and the therapeutic armamentarium, leaving a significant unmet need. This is also important from a clinical perspective,” they explained. “Health care professionals in primary care and internal medicine most likely see patients with migraine who do not discuss it during visits. This underscores the importance of maintaining vigilance for migraine, especially among those who may experience greater disability, impact, and interictal burden.”