The Profile and Prognosis of Youth With Status Migrainosus: Results From an Observational Study.

OBJECTIVE: To characterize the clinical features of a large sample of children, adolescents, and young adults with a history of status migrainosus (SM) and to describe their short-term prognosis. BACKGROUND: Data on the clinical characteristics of children and adolescents with SM are sparse and little is known about the prognosis of this population. METHODS: This was a retrospective clinical cohort study that included patients from the Cincinnati Children's Headache Center if they had a diagnosis of migraine and data available for a 1-3 months follow-up interval. Data extracted from the initial interval visit (visit A) included: age, sex, race, migraine diagnosis, SM history, chronic migraine, medication overuse headache (MOH), body mass index (BMI), headache frequency, headache severity, disability, allodynia and lifestyle habits: caffeine intake, meal skipping, sleep duration, exercise frequency, and fluid intake. Data extracted from the initial consultation visit included: months with headache at initial consultation visit, patient endorsing "feeling depressed" and anxiety symptoms. Headache frequency and visit type were also measured at the second visit (visit B) in the follow-up interval. A multivariate logistic regression model with a backward elimination procedure was created to model the odds of having a diagnosis of SM using the cross-sectional predictor variables above. Second, chi-square tests were used to compare the proportion of patients with SM to the proportion of patients without SM who had each of the following outcomes in the short-term follow-up window: treatment response (50% or greater reduction in headache frequency), overall reduction in headache frequency (reduction of 1 or more headache days/month), minimal change in headache frequency (increase in 0-3 headache days/month), and clinical worsening (increase in 4 or more headache days/month). RESULTS: A total of 5316 youth with migraine were included and 559 (10.5%) had a history of SM. In the multivariate logistic regression model, predictors significantly associated with SM were: older age (OR = 1.13, 95% CI = 1.09-1.17, P < .0001), migraine with aura (MWA) (OR = 1.30, 95% CI = 1.03-1.65, P = .03), MOH (OR = 1.72, 95% CI = 1.30-2.28, P = .0001), headache frequency (OR = 0.99, 95% CI = 0.97-0.99, P = .030), higher headache severity (OR = 1.08, 95% CI = 1.02-1.15, P = .009), months with headache at initial consultation (OR = 1.00, 95% CI = 1.00-1.01, P = .042), and admission to infusion center at visit B (OR = 2.27, 95% CI = 1.38-3.72, P = .001). Patients with a history of SM were more likely to experience an increase in 4 or more headache days per month at follow-up: 15.2% as compared to 11.1% of those without SM, χ2 (1, n = 5316) = 8.172, P = .0043. CONCLUSIONS: Youth with SM represent a distinct subgroup of the migraine population and have an unfavorable short-term prognosis.

Predictors of Short-Term Prognosis While in Pediatric Headache Care: An Observational Study.

OBJECTIVES: To characterize the short-term prognosis of a clinical population of pediatric and young adult patients with migraine and explore predictors of clinical worsening while in care. METHODS: This was a retrospective study of all migraine patients seen at the Cincinnati Children's Hospital Headache Center from 09/01/2006 to 12/31/2017, who had at least 1 follow-up visit within 1-3 months of the index visit analyzed. Included data were: age, sex, race, primary ICHD diagnosis, chronic migraine, medication overuse, history of status migrainosus, BMI percentile, headache frequency, headache severity, PedMIDAS score, allodynia, preventive treatment type, lifestyle habits, disease duration, depressive and anxiety symptoms. Clinical worsening was defined as an increase in 4 or more headache days per month between the index visit and the follow-up visit. RESULTS: Data for 13,160 visit pairs (index and follow-up), from 5316 patients, were analyzed. Clinical worsening occurred in only 14.5% (1908/13,160), whereas a reduction in headache frequency was observed in 56.8% of visit intervals (7475/13,160), with 34.8% of the intervals (4580/13,160) showing a reduction of 50% or greater. The change in headache frequency was minimal (increase in 0-3 headaches/month) in 28.7% of intervals (3737/13,160). In the multivariable model, the odds of worsening were significantly higher with increasing age, female sex, chronic migraine, status migrainosus, depressive symptoms, higher PedMIDAS scores, and use of nutraceuticals, whereas the odds of worsening were lower for summer visits, caffeine drinkers, higher headache frequencies, and use of pharmaceuticals. CONCLUSIONS: The majority of pediatric patients who receive multimodal interdisciplinary care for migraine improve over time. Our findings highlight a set of clinical features that may help in identifying specific factors that may contribute to an unfavorable short-term prognosis.

Predictors of First-Line Treatment Success in Children and Adolescents Visiting an Infusion Center for Acute Migraine.

OBJECTIVES: To characterize a population of pediatric patients visiting an infusion center for acute migraine and determine predictors of first-line treatment success in this population. BACKGROUND: Though migraine is common in the pediatric emergency department and specialized infusion centers, little is known about this patient population and whether or not clinical data can be used to predict treatment response. METHODS: This was an observational study involving a retrospective analysis of data from visits to the Cincinnati Children's Hospital infusion center for treatment of an acute migraine. Data were extracted from a database and chart reviews were completed for missing or outlying data. Descriptive statistics were used to outline patient: sex, age, race, primary ICHD-III diagnosis, chronic migraine, medication overuse headache (MOH), headache frequency, month of treatment, headache severity, headache duration, use of acute medication at home in the past 24 hours and treatment received (metoclopramide vs prochlorperazine and dexamethasone vs no dexamethasone). The odds of success of first-line intervention were modeled using simple logistic regression with the above characteristics used as predictors. Predictors with a P value <.05 in the multiple logistic regression model with progressive backwards selection were entered into a final multiple logistic regression model controlling for age, sex and diagnosis, where a P value <.05 was considered statistically significant. RESULTS: Data from 837 visits (n = 837) were included in this analysis. Visits were significantly more frequent in the academic year as compared to the summer (Z = 10.716, P < .0001). In the multiple logistic regression model, the odds of first-line treatment success decreased as headache frequency increased (OR = 0.951, 95% CI = 0.934-0.969, P < .0001), were higher for patients without MOH (OR = 1.528, 95% CI = 1.097-3.714, P = .0469), and were higher for patients who did not receive dexamethasone (OR = 1.528, 95% CI = 1.097-3.714, P = .0469). CONCLUSIONS: Higher baseline headache frequency and presence of MOH may predict lower odds of treatment success after first-line intervention for pediatric migraine in the acute setting. These predictors may be useful in stratifying patients for treatment protocols and for planning future intervention studies.