Incidence and prevalence of headache in influenza: A 2010-2021 surveillance-based study.

BACKGROUND AND PURPOSE: Influenza is a common cause of acute respiratory infection, with headache being one of the symptoms included in the European Commission case definition. The prevalence of headache as a symptom of influenza remains unknown. We aimed to describe the incidence and prevalence of headache in patients with influenza. METHODS: All consecutive patients who met the definition criteria of influenza-like illness during the influenza seasons 2010-2011 through 2021-2022 were included. The seasonal cumulative incidence of influenza per 1000 patients at risk and the prevalence of headache as an influenza symptom were calculated, including the 95% confidence intervals (CIs). Subgroup analyses were done based on patients' sex, age group, microbiological confirmation, vaccination status, and influenza type/subtype/lineage. RESULTS: During the study period, 8171 patients were eligible. The incidence of headache in the context of influenza varied between 0.24 cases per 1000 patients (season 2020-2021) and 21.69 cases per 1000 patients (season 2017-2018). The prevalence of headache was 66.1% (95% CI = 65.1%-67.1%), varying between 49.6% (season 2021-2022) and 80.1% (season 2010-2011). The prevalence of headache was higher in women (67.9% vs. 65.7%, p = 0.03) and higher in patients between 15 and 65 years old. Headache was more prevalent in patients infected with B subtypes than A subtypes (68.7% vs. 56.9%, p < 0.001). There were no notable differences regarding vaccination status or microbiological confirmation of the infection. CONCLUSIONS: Headache is a common symptom in patients with influenza, with a prevalence higher than that observed in other viral infections.

CandeSpartan Study: Candesartan Spanish Response-prediction and Tolerability study in migraine.

INTRODUCTION: Effectiveness of candesartan in migraine prevention is supported by two randomized controlled trials. We aimed to assess the effectiveness, tolerability, and response predictors of candesartan in the preventive treatment of migraine. METHODS: Observational, multicenter, prospective cohort study. The 50%, 75% and 30% responder rates, between weeks 8-12 and 20-24, were compared with the baseline. Treatment emergent adverse effects were systematically evaluated. Response predictors were estimated by multivariate regression models. RESULTS: Eighty-six patients were included, 79.1% females, aged 39.5 (inter-quartile range [IQR] 26.3-50.3), with chronic migraine (43.0%), medication overuse headache (55.8%) and a median of two (inter-quartile range: 0.75-3) prior preventive treatments. At baseline patients had 14 (10-24) headache and 8 (5-11) migraine days per month. The 30%, 50% and 75% responder rates were 40%, 34.9% and 15.1% between weeks 8-12, and 48.8%, 36%, and 18.6% between weeks 20-24. Adverse effects were reported by 30 (34.9%) and 13 (15.1%) patients between weeks 0-12 and 12-24, leading to discontinuation in 15 (17.4%) patients. Chronic migraine, depression, headache days per month, medication overuse headache, and daily headache at baseline predicted the response between weeks 20-24. CONCLUSION: Candesartan effectiveness and tolerability in migraine prevention was in line with the clinical trials' efficacy.Trial registration: The study protocol is registered in ClinicalTrials.gov (NCT04138316).

Evaluation of the concomitant use of prophylactic treatments in patients with migraine under anti-calcitonin gene-related peptide therapies: The PREVENAC study.

BACKGROUND AND PURPOSE: Anti-calcitonin gene-related peptide (CGRP) therapies are recent preventive therapies approved for both episodic and chronic migraine. One of the measures of effectiveness is the withdrawal of other preventive treatments. The objective of this study is to quantify the impact of anti-CGRP drugs in concomitant preventive treatment in patients with migraine. METHODS: This was an observational, retrospective, multicenter cohort study with patients from nine national headache units. Patients with migraine undergoing treatment for at least 6 months with anti-CGRP antibodies, who were initially associated with some preventive treatment (oral and/or onabotulinumtoxinA) were included. Demographic and clinical variables were collected, as well as variables related to headache. Differences according to withdrawal or nonwithdrawal were evaluated. RESULTS: A total of 408 patients were included, 86.52% women, 48.79 (SD = 1.46) years old. Preventive treatment was withdrawn in 43.87% (179/408), 20.83% partially and 23.04% totally. In 27.45% (112/408), it was maintained exclusively due to comorbidity and in 28.6% (117/408) due to partial efficacy. The most frequent time of withdrawal was between 3 and 5 months after the start of treatment. The baseline characteristics associated with nonwithdrawal were comorbidities: insomnia, hypertension and obesity, chronic migraine, and medication overuse. In the multivariate analysis, the absence of high blood pressure, a greater number of preventive treatments at the start, and a lower number of migraine days/month after anti-CGRP treatment were independently associated with withdrawal of the treatment (p < 0.05). CONCLUSIONS: Anti-CGRP antibodies allow the withdrawal of associated preventive treatment in a significant percentage of patients, which supports its effectiveness in real-life conditions.

Factors associated to the presence of headache in patients with influenza infection and its consequences: a 2010-2020 surveillance-based study.

Headache is a common symptom of influenza infection; however, its causes and consequences remain uncertain. In this manuscript, we analyzed which demographic and clinical factors were associated with the presence of headache during the course of influenza infection and whether patients with headache had a different prognosis, evaluated by need of hospitalization, sick leave or school absenteeism. The influence study (NCT05704335) was an observational study that analyzed data routinely collected from the Health Sentinel Network between 2010 and 2020. During the study period, 7832 cases were considered, among which, 5275 (67.4%) reported headache. The presence of headache was independently associated with myalgia (2.753; 95%CI: 2.456-3.087, P < 0.001), asthenia (OR: 1.958; 95%CI: 1.732-2.214, P < 0.001), shivering (OR: 1.925; 95%CI: 1.718-2.156, P < 0.001), nasopharyngeal erythema (OR: 1.505; 95%CI: 1.293-1.753, P < 0.001), fever (OR: 1.469; 95%CI: 1.159-1.861; P = 0.001), sudden onset of symptoms (OR: 1.380; 95%CI: 1.120-1.702, p = 0.004), female sex (OR: 1.134; 95%CI: 1.023-1.257, P = 0.018), and gastrointestinal symptoms (OR: 1.169; 95%CI: 1.039-1.315; P = 0.01). Patients with headache had a sex and age adjusted lower odds of being referred to the hospital (OR: 0.463; 95%CI: 0.264-0.812, P = 0.007) and a higher odd of having a sick leave and/or school absenteeism (absenteeism (OR: 1.342; 95%CI: 1.190-1.514, P < 0.001). In conclusion, the presence of headache seems associated with symptoms caused by the innate immune response. These findings support a headache pathophysiology linked with the innate immune response. Due to the potential negative consequences and its treatable nature, clinicians should systematically evaluate it and, whenever necessary, treat it too.

RE-START: Exploring the effectiveness of anti-calcitonin gene-related peptide resumption after discontinuation in migraine.

BACKGROUND AND PURPOSE: According to the latest European guidelines, discontinuation of monoclonal antibodies against calcitonin gene-related peptide (anti-CGRP MAb) may be considered after 12-18 months of treatment. However, some patients may worsen after discontinuation. In this study, we assessed the response following treatment resumption. METHODS: This was a prospective study conducted in 14 Headache Units in Spain. We included patients with response to anti-CGRP MAb with clinical worsening after withdrawal and resumption of treatment. Numbers of monthly migraine days (MMD) and monthly headache days (MHD) were obtained at four time points: before starting anti-CGRP MAb (T-baseline); last month of first treatment period (T-suspension); month of restart due to worsening (T-worsening); and 3 months after resumption (T-reintroduction). The response rate to resumption was calculated. Possible differences among periods were analysed according to MMD and MHD. RESULTS: A total of 360 patients, 82% women, with a median (interquartile range [IQR]) age at migraine onset of 18 (12) years. The median (IQR) MHD at T-baseline was 20 (13) and MMD was 5 (6); at T-suspension, the median (IQR) MHD was 5 (6) and MMD was 4 (5); at T-worsening, the median (IQR) MHD was 16 (13) and MMD was 12 (6); and at T-reintroduction, the median (IQR) MHD was 8 (8) and MHD was 5 (5). In the second period of treatment, a 50% response rate was achieved by 57.4% of patients in MHD and 65.8% in MMD. Multivariate models showed significant differences in MHD between the third month after reintroduction and last month before suspension of first treatment period (p < 0.001). CONCLUSION: The results suggest that anti-CGRP MAb therapy is effective after reintroduction. However, 3 months after resumption, one third of the sample reached the same improvement as after the first treatment period.

Effectiveness, tolerability, and response predictors of preventive anti-CGRP mAbs for migraine in patients over 65 years old: a multicenter real-world case-control study.

OBJECTIVE: To evaluate clinical characteristics, effectiveness, and tolerability of preventive anti- calcitonin gene-related peptide (CGRP) monoclonal antibodies (mAbs) in the elderly. Anti-CGRP mAbs have demonstrated efficacy and safety in patients with migraine although there is limited information regarding the elderly. DESIGN: We performed a multicenter case-control study of cases (patients over 65 years old) and controls (sex-matched patients under 55 years old) with migraine receiving anti-CGRP mAbs. METHODS: We included the demographic characteristics, effectiveness-reduction in the number of monthly headache days (MHD) and monthly migraine days (MMD), 30%, 50%, and 75% responder rates-and treatment emergent adverse events (TEAEs). The primary endpoint was the 50% response rate regarding MHD at weeks 20-24; exploratory 50% response predictors in the elderly were evaluated. RESULTS: In total, 228 patients were included: 114 cases , 114 controls-. Among cases 84.2% (96/114) were women, 79.8% (91/114) CM; mean age of cases 70.1 years old (range: 66-86); mean age of controls was 42.9 years old(range: 38-49). Cases had a higher percentage of vascular risk factors (P < .05),older age of onset (P < .001) and more reported prior preventive treatments (P < .001). Regarding effectiveness in cases, 50% response rate was achieved by 57.5% (42/73) at 20-24 weeks, with lower reduction in the MHD at 8-12 weeks (5 [7.2], 8 [9.1]; P = .001) and a higher reduction in MMD at 20-24 weeks (10.7 [9.1], 9.2 [7.7]; P = .04) compared to the control group. The percentage of TEAEs was similar in the 2 groups. Diagnosis of episodic migraine (EM) (P = .03) and lower number of MHD at baseline (P = .001) were associated with a 50% response in the elderly in univariate analysis. CONCLUSIONS: Our study provides real world evidence of effectiveness and safety of anti-CGRP mAbs for migraine in patients without upper age-limit and possible predictors of anti-CGRP response in the elderly.

InfluenCEF study: Clinical phenotype and duration of headache attributed to influenza infection.

INTRODUCTION: Headache is a frequent symptom of infections. We aimed to characterize the clinical phenotype and duration of headache attributed to influenza infection. METHODS: Prospective cohort study done in 53 primary care centers between January and April 2023. Patients were included if they had a confirmed influenza diagnosis, were older than 15 years and had a new-onset headache. Patients' demographics, prior medical history, headache phenotype and duration, associated symptoms and patients' outcomes were assessed. The International Classification of Headache Disorders criteria for headache attributed to a systemic viral infection, migraine and tension-type headache were assessed. RESULTS: Of the 478 patients 75 fulfilled eligibility criteria. The mean age was 43, 56% were men, and 27% had a prior headache history. The headache phenotype was a bilateral headache (52%), with frontal topography (48%), pressing quality (61%), moderate intensity, rhinorrhea (79%), nasal congestion (76%), and photophobia (59%). All patients fulfilled headache attributed to acute systemic viral infection criteria, 43% fulfilled migraine criteria and 31% tension-type headache criteria. The median duration of the headache was four (Inter-quartile range: two-six) days. CONCLUSION: The clinical phenotype of headache attributed to influenza infection was similar to other infections, with more pronounced cranial autonomic symptoms. The headache was an early symptom and was self-limited within a few days.Trial Registration: The study protocol is registered in ClinicalTrial.gov (NCT05704335).

Long-term effectiveness and tolerability of galcanezumab in patients with migraine excluded from clinical trials: real world evidence of 1055 patients with 1 year follow-up from the Galca-Only registry.

BACKGROUND: Galcanezumab has shown efficacy and effectiveness in the treatment of episodic and chronic migraine (CM), however, the population represented in randomized clinical trials (RCTs) differs from the population observed in real-world setting. To describe the long-term effectiveness and tolerability of galcanezumab in clinical practice in patients excluded from RCTs. METHODS: Multicenter prospective cohort study of consecutive patients with chronic and high-frequency episodic migraine (HFEM) with prior failure to three or more migraine preventive drugs, treated with galcanezumab and followed up for 12 months. RESULTS: We enrolled 1055 patients, aged 50 (IQR: 42-58), 82.9% female, 76.4% chronic migraine, 69% with at least one exclusion criteria for RCTs, including age > 65 (n = 121), concomitant use of onabotulinumtoxinA (n = 185), daily headache at baseline (n = 347), chronic painful syndromes (n = 206), fibromyalgia (n = 101) or treatment resistance (n = 957). The median number of prior preventive treatments was 4 (IQR: 3-5). The retention rate was 90.8%, 76.8% and 71.4% at 3, 6 and 12 months. The main reasons for treatment discontinuation were lack of effectiveness (21.1%) and inadequate tolerability (6.6%). The 30%, 50% and 75% responder rates were 62.6%, 49.8% and 24.2% between weeks 8-12; 60.9%, 48.8% and 24.6% between weeks 20-24; and 59.7%, 48.3% and 24.6% between weeks 44-48. Daily headache at baseline (OR: 0.619; 95%CI: 0.469-0.817) and patient's age (OR: 1.016; 95%CI: 1.005-1.026) were associated with 50% response at weeks 20-24. The variables that were associated with a higher reduction of headache days between weeks 20-24 were patient's age (0.068; 95% CI: 0.018-0.119) and headache days per month at baseline (0.451; 95% CI: 0.319-0.583), while psychiatric comorbidity (-1.587; 95% CI: -2.626-0.538) and daily headache at baseline (-2.718; 95% CI: -4.58-0.869) were associated with fewer reduction in the number of headache days between weeks 20-24. CONCLUSION: This study provides class III evidence of effectiveness and tolerability of galcanezumab in patients with HFEM and CM with comorbidities that would result in exclusion of the pivotal RCTs. Nonetheless, the clinical results over a 12-month period were similar to the efficacy observed in randomized controlled trials. Few patients discontinued the drug due to inadequate tolerability.

Potential Predictors of Response to CGRP Monoclonal Antibodies in Chronic Migraine: Real-World Data.

PURPOSE OF REVIEW: Real-world data (RWD) has identified potential predictors of response to anti-CGRP therapies in patients with chronic migraine (CM). This review aims to synthesize the most remarkable findings published to date regarding this topic. RECENT FINDINGS: Migraine features such as unilateral pain and positive triptan response and chronic features such as daily headache or medication overuse (MO) emerge as predictors of positive outcomes, potentially linked to elevated baseline serum anti-calcitonin gene-related peptide (anti-CGRP) levels. Demographic and baseline characteristics, encompassing obesity, psychiatric comorbidities, and prior refractoriness to prophylactic treatments, are associated with poor responses in both treatment-naïve patients and after-switch scenarios. Nevertheless, the consistency of these predictors across diverse populations requires further investigation. Recent RWD literature highlights emerging predictors of response of different sources among patients with CM receiving anti-CGRP therapies. Comprehending these predictors and identifying novel biomarkers of response hold the potential to refine treatment strategies for CM patients, enhancing their management and therapeutic outcomes.

Increased MRI-based Brain Age in chronic migraine patients.

INTRODUCTION: Neuroimaging has revealed that migraine is linked to alterations in both the structure and function of the brain. However, the relationship of these changes with aging has not been studied in detail. Here we employ the Brain Age framework to analyze migraine, by building a machine-learning model that predicts age from neuroimaging data. We hypothesize that migraine patients will exhibit an increased Brain Age Gap (the difference between the predicted age and the chronological age) compared to healthy participants. METHODS: We trained a machine learning model to predict Brain Age from 2,771 T1-weighted magnetic resonance imaging scans of healthy subjects. The processing pipeline included the automatic segmentation of the images, the extraction of 1,479 imaging features (both morphological and intensity-based), harmonization, feature selection and training inside a 10-fold cross-validation scheme. Separate models based only on morphological and intensity features were also trained, and all the Brain Age models were later applied to a discovery cohort composed of 247 subjects, divided into healthy controls (HC, n=82), episodic migraine (EM, n=91), and chronic migraine patients (CM, n=74). RESULTS: CM patients showed an increased Brain Age Gap compared to HC (4.16 vs -0.56 years, P=0.01). A smaller Brain Age Gap was found for EM patients, not reaching statistical significance (1.21 vs -0.56 years, P=0.19). No associations were found between the Brain Age Gap and headache or migraine frequency, or duration of the disease. Brain imaging features that have previously been associated with migraine were among the main drivers of the differences in the predicted age. Also, the separate analysis using only morphological or intensity-based features revealed different patterns in the Brain Age biomarker in patients with migraine. CONCLUSION: The brain-predicted age has shown to be a sensitive biomarker of CM patients and can help reveal distinct aging patterns in migraine.

Long-term outcomes of nummular headache: A series of 168 patients and 1198 patient-years of follow-up.

BACKGROUND: Since the first description of nummular headache (NH), more than 500 cases have been described, delineating its clinical phenotype and response to treatment. However, data on the natural history of NH and outcomes during long-term follow-up are not currently available. The present study aimed to describe the long-term outcomes and follow-up of a large series of patients with NH. METHODS: A descriptive observational ambisective study with a series of cases was conducted. The study population included adult patients with primary NH and a minimum of 12 months of follow-up. Demographic variables, previous medical history, clinical phenotype, diagnosis and treatment of NH, temporal pattern, and long-term evolution were analysed. RESULTS: In total, 168 patients were enrolled and followed for a median [interquartile range (IQR)] of 80.5 (55-118.5) months. The temporal pattern after NH onset was chronic in 67.9% and, at diagnosis, the median (IQR) number of pain days per month was 20 [10-30] days with 138 (82.1%) patients with ≥8 days of pain per month. Preventive treatment was needed by 112 (66.7%) patients. The most frequently used drugs were gabapentin (69/112; 61.6%), onabotulinumtoxinA (38/112; 33.9%), amitriptyline (31/112; 27.7%) and lamotrigine (21/112; 18.7%). Response to preventive treatment was at least partial in 91/112 (81.3%) patients. At the end of follow-up, 81 (48.2%) patients had inactive NH. Of patients with active NH, the median (IQR) number of headache days per month was 3 (1-12) days and patients had ≥8 days of pain in 35 (20.8%) cases. CONCLUSIONS: Long-term outcomes of NH were positive in most patients. After a median of 6.7 years of follow-up, 48% of cases were inactive. Two-thirds of patients required preventive treatment, and 80% of them were treatment-responsive. In NH cases that remained symptomatic, the headache frequency was lower, and the proportion of patients with chronic NH decreased from 68% to 11%.

[Translated article] Consensus recommendations on the preventive treatment of migraine.

OBJECTIVE: The objectives are to know the opinion of neurologists and hospital pharmacists on those aspects still under debate regarding the role of anti-Calcitonin Gene-related Peptide monoclonal antibodies in the preventive treatment of migraine. To identify those controversies that still exist. To propose agreed recommendations for improvement of care. And to promote access of clinicians and patients to these new treatments in the prevention of migraine with biological drugs, in order to improve patient care and follow-up. METHODOLOGY: Recommendations for the use of biological drugs in the prevention of migraine were identified and evaluated through the Delphi consensus methodology, proposing 88 statements grouped into 3 themes: a clinical module that deals with the management of biological treatments in migraine; a patient module that discusses patient education and adherence improvement strategies; and a coordination module that includes statements related to strategies to improve joint work between the two groups. The 9-point Likert ordinal scale was used to score these recommendations and, subsequently, the data was statistically analysed through different metrics. RESULTS: After both rounds of voting, consensus was reached in agreement on 71 of the 88 statements (80.7%), leaving 1 statement (1.1%) with consensus in disagreement and 16 remaining as indeterminate (18.2%). CONCLUSIONS: The high degree of consensus indicates that the opinion of neurologists and hospital pharmacists on the role of anti-Calcitonin Gene-related Peptide monoclonal antibodies in the preventive treatment of migraine is very similar and allows identifying those controversies that still exist, to improve the care and follow-up of patients with migraine.

Consensus recommendations for the treatment of migraine prevention. / Recomendaciones de consenso para el tratamiento de la prevención de la migraña.

OBJECTIVE: The objectives are to know the opinion of neurologists and hospital pharmacists on those aspects still under debate regarding the role of anti-CGRP monoclonal antibodies in the preventive treatment of migraine. To identify those controversies that still exist. To propose agreed recommendations for improvement of care. And to promote access of clinicians and patients to these new treatments in the prevention of migraine with biological drugs, in order to improve patient care and follow-up. METHODOLOGY: Recommendations for the use of biological drugs in the prevention of migraine were identified and evaluated through the Delphi consensus methodology, proposing 88 statements grouped into three themes: a clinical module that deals with the management of biological treatments in migraine; a patient module that discusses patient education and adherence improvement strategies; and a coordination module that includes statements related to strategies to improve joint work between the two groups. The 9-point Likert ordinal scale was used to score these recommendations and, subsequently, the data was statistically analyzed through different metrics. RESULTS: After both rounds of voting, consensus was reached in agreement on 71 of the 88 statements (80.7%), leaving one statement (1.1%) with consensus in disagreement and 16 remaining as indeterminate (18.2%). CONCLUSIONS: The high degree of consensus indicates that the opinion of neurologists and hospital pharmacists on the role of anti-CGRP monoclonal antibodies in the treatment of migraine is very similar and allows identifying those controversies that still exist, to improve the care and follow-up of patients with migraine.

Path Analysis Models Integrating Psychological, Psycho-physical and Clinical Variables in Individuals With Tension-Type Headache.

Tension type headache (TTH) is a prevalent but poorly understood pain disease. Current understanding supports the presence of multiple associations underlying its pathogenesis. Our aim was to compare competing multivariate pathway models that explains the complexity of TTH. Headache features (intensity, frequency, or duration - headache diary), headache-related disability (Headache Disability Inventory-HDI), anxiety/depression (Hospital Anxiety and Depression Scale), sleep quality (Pittsburgh Sleep Quality Index), widespread pressure pain thresholds (PPTs) and trigger points (TrPs) were collected in 208 individuals with TTH. Four latent variables were formed from the observed variables - Distress (anxiety, depression), Disability (HDI subscales), Severity (headache features), and Sensitivity (all PPTs). Structural equation modelling (SEM) and Bayesian network (BN) analyses were used to build and compare a theoretical (modeltheory) and a data-driven (modelBN) latent variable model. The modelBN (root mean square error of approximation [RMSEA] = 0.035) provided a better statistical fit than modeltheory (RMSEA = 0.094). The only path common between modelbn and modeltheory was the influence of years with pain on TrPs. The modelBN revealed that the largest coefficient magnitudes were between the latent variables of Distress and Disability (ß=1.524, P = .006). Our theoretical model proposes a relationship whereby psycho-physical and psychological factors result in clinical features of headache and ultimately affect disability. Our data-driven model proposes a more complex relationship where poor sleep, psychological factors, and the number of years with pain takes more relevance at influencing disability. Our data-driven model could be leveraged in clinical trials investigating treatment approaches in TTH. PERSPECTIVE: A theoretical model proposes a relationship where psycho-physical and psychological factors result in clinical manifestations of headache and ultimately affect disability. A data-driven model proposes a more complex relationship where poor sleep, psychological factors, and number of years with pain takes more relevance at influencing disability.

Adaptation and Validation of the Spanish Version of Decisional Conflict Scale in People with Migraine in Spain.

Purpose: We aimed to validate the Spanish version of the Decisional Conflict Scale (DCS) and analyze its psychometric properties in people with migraine. Patients and Methods: The DCS validation comprised two phases. First, a translation and cross-cultural adaptation following the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) Good Practices: 1-preparation, 2-independent forward translation, 3-reconciliation, 4-back-translation, 5-harmonization, 6-clinical review, and 7-content validation in a group of migraine patients. Second, the analysis of the psychometric properties. The reliability or internal consistency of the DCS scale and subscales was assessed using Cronbach's α value. The item-subscale correlation was also evaluated. A floor and ceiling effects for DCS score was considered when at least 15% of respondents obtained DCS >90 (ceiling) or <10 (floor). The construct validity was studied through the correlation between the DCS subscales and by the correlation between the DCS and other questionnaires (Decision Self-Efficacy Scale [DSES] and 9-item Shared Decision-Making [SDM-Q-9]). Spearman's coefficients were estimated for the correlations. Results: The cross-cultural adaptation was conducted on 17 patients who completed the questionnaire in a mean of 2.4 ±1.1 minutes. Generally, more than 75% of them considered that DCS items were adequate, easy to understand, and relevant. The psychometric properties were evaluated in a sample of n=128 patients. Accordingly, the internal consistency of DCS was high, with a Cronbach's α of 0.97 for the scale and between 0.87 to 0.96 for subscales. Also, a slight floor effect was observed, with 24.2% of patients having DCS scores <10. The correlation between subscales exceeded Spearman's coefficient of 0.7. Whereas the correlation between the DCS and the other questionnaires was generally moderate (Spearman's coefficient >0.4). Conclusion: The Spanish version (Spain) of the DCS has very acceptable psychometric properties (reliability and construct validity) and good potential for assessing decisional conflicts among migraine patients.

Post-COVID-19 Symptoms 2 Years After SARS-CoV-2 Infection Among Hospitalized vs Nonhospitalized Patients.

Importance: Identification of long-term post-COVID-19 symptoms among hospitalized and nonhospitalized patients is needed. Objective: To compare the presence of post-COVID-19 symptoms 2 years after acute SARS-CoV-2 infection between hospitalized and nonhospitalized patients. Design, Setting, and Participants: A cross-sectional cohort study was conducted at 2 urban hospitals and general practitioner centers from March 20 to April 30, 2020, among 360 hospitalized patients and 308 nonhospitalized patients with acute SARS-CoV-2 infection during the first wave of the pandemic. Follow-up was conducted 2 years later. Main Outcomes and Measures: Participants were scheduled for a telephone interview 2 years after acute infection. The presence of post-COVID-19 symptoms was systematically assessed, with particular attention to symptoms starting after infection. Hospitalization and clinical data were collected from medical records. Between-group comparisons and multivariate logistic regressions were conducted. Results: A total of 360 hospitalized patients (162 women [45.0%]; mean [SD] age, 60.7 [16.1] years) and 308 nonhospitalized patients (183 women [59.4%]; mean [SD] age, 56.7 [14.7] years) were included. Dyspnea was more prevalent at the onset of illness among hospitalized than among nonhospitalized patients (112 [31.1%] vs 36 [11.7%]; P < .001), whereas anosmia was more prevalent among nonhospitalized than among hospitalized patients (66 [21.4%] vs 36 [10.0%]; P = .003). Hospitalized patients were assessed at a mean (SD) of 23.8 (0.6) months after hospital discharge, and nonhospitalized patients were assessed at a mean (SD) of 23.4 (0.7) months after the onset of symptoms. The number of patients who exhibited at least 1 post-COVID-19 symptom 2 years after infection was 215 (59.7%) among hospitalized patients and 208 (67.5%) among nonhospitalized patients (P = .01). Among hospitalized and nonhospitalized patients, fatigue (161 [44.7%] vs 147 [47.7%]), pain (129 [35.8%] vs 92 [29.9%]), and memory loss (72 [20.0%] vs 49 [15.9%]) were the most prevalent post-COVID-19 symptoms 2 years after SARS-CoV-2 infection. No significant differences in post-COVID-19 symptoms were observed between hospitalized and nonhospitalized patients. The number of preexisting medical comorbidities was associated with post-COVID-19 fatigue (odds ratio [OR], 1.93; 95% CI, 1.09-3.42; P = .02) and dyspnea (OR, 1.91; 95% CI, 1.04-3.48; P = .03) among hospitalized patients. The number of preexisting medical comorbidities (OR, 3.75; 95% CI, 1.67-8.42; P = .001) and the number of symptoms at the onset of illness (OR, 3.84; 95% CI, 1.33-11.05; P = .01) were associated with post-COVID-19 fatigue among nonhospitalized patients. Conclusions and Relevance: This cross-sectional study suggested the presence of at least 1 post-COVID-19 symptom in 59.7% of hospitalized patients and 67.5% of nonhospitalized patients 2 years after infection. Small differences in symptoms at onset of COVID-19 were identified between hospitalized and nonhospitalized patients. Post-COVID-19 symptoms were similar between hospitalized and nonhospitalized patients; however, lack of inclusion of uninfected controls limits the ability to assess the association of SARS-CoV-2 infection with overall and specific post-COVID-19 symptoms 2 years after acute infection. Future studies should include uninfected control populations.

Amitriptyline for post-COVID headache: effectiveness, tolerability, and response predictors.

BACKGROUND: Headache is one of the most frequently reported symptoms in post-COVID patients. The clinical phenotype of COVID-19 headache combines phenotypic features of both tension-type headache (TTH) and migraine. We aimed to assess the effectiveness, side effects and predictors of amitriptyline (AMT) response in a real-world study setting. METHODS: We performed an observational multicentric study with a retrospective cohort. All consecutive patients with confirmed COVID-19 infection who received AMT for post-COVID headache from March 2020 to May 2021 were included. Response was evaluated by the reduction in the number of headache days per month (HDM) between weeks 8 and 12, compared with the baseline. We explored which variables were associated with a higher probability of response to AMT. RESULTS: Forty-eight patients were eligible for the study, 40/48 (83.3%) females, aged 46.85 (SD: 13.59) years. Patients had history of migraine 15/48 (31.3%) or TTH 5/48 (10.4%). The mean reduction of HDM was 9.6 (SD: 10.9; 95% CI 6.5, 12.7) days. Only 2/48 (5%) of patients discontinued AMT due to poor tolerability. History of TTH (10.9, 95% CI 1.3, 20.6) and nausea (- 8.5, 95% CI - 14.6, - 2.5) were associated with AMT response. CONCLUSIONS: This study provides real-world evidence of the potential benefit of AMT in patients with post-COVID-19 headache, especially in patients with history of TTH and without concomitant nausea.

Machine-learning-based approach for predicting response to anti-calcitonin gene-related peptide (CGRP) receptor or ligand antibody treatment in patients with migraine: A multicenter Spanish study.

BACKGROUND AND PURPOSE: Several variables have been reported to be associated with anti-calcitonin gene-related peptide (CGRP) receptor or ligand antibody response, but with differing results. Our objective was to determine whether machine-learning (ML)-based models can predict 6-, 9- and 12-month responses to anti-CGRP receptor or ligand therapies among migraine patients. METHODS: We performed a multicenter analysis of prospectively collected data from patients with migraine receiving anti-CGRP therapies. Demographic and clinical variables were collected. Response rates in the 30% to 50% range, or at least 30%, in the 50% to 75% range, or at least 50%, and response rate of at least 75% regarding the reduction in the number of headache days per month at 6, 9 and 12 months were calculated. A sequential forward feature selector was used for variable selection and ML-based predictive models for the response to anti-CGRP therapies at 6, 9 and 12 months, with model accuracy not less than 70%, were generated. RESULTS: A total of 712 patients were included, 93% were women, and the mean (SD) age was 48 (11.6) years. Eighty-four percent of patients had chronic migraine. ML-based models using headache days/month, migraine days/month and the Headache Impact Test (HIT-6) yielded predictions with an F1 score range of 0.70-0.97 and an area under the receiver-operating curve score range of 0.87-0.98. SHAP (SHapley Additive exPlanations) summary plots and dependence plots were generated to evaluate the relevance of the factors associated with the prediction of the above-mentioned response rates. CONCLUSIONS: Our results show that ML models can predict anti-CGRP response at 6, 9 and 12 months. This study provides a predictive tool that can be used in a real-world setting.

Understanding the interaction between clinical, emotional and psychophysical outcomes underlying tension-type headache: a network analysis approach.

OBJECTIVE: Evidence supports that tension-type headache (TTH) involves complex underlying mechanisms. The current study aimed to quantify potential multivariate relationships between headache-related, psychophysical, psychological and health-related variables in patients with TTH using network analysis. METHODS: Demographic (age, height, weight), headache-related (intensity, frequency, duration, and headache-related disability), psychological and emotional (Hospital Anxiety and Depression Scale, Pittsburgh Sleep Quality Index), psycho-physical (pressure pain thresholds [PPTs] and myofascial trigger points) and health-related variables (SF-36 questionnaire) were collected in 169 TTH patients. Network connectivity analysis was unsupervised conducted to quantify the adjusted correlations between the modelled variables and to assess their centrality indices (i.e., the connectivity with other symptoms in the network and the importance in the modelled network). RESULTS: The connectivity network showed local associations between psychophysical and headache-related variables. Multiple significant local positive correlations between PPTs were observed, being the strongest weight between PPTs over the cervical spine and temporalis area ([Formula: see text]: 0.41). The node with the highest strength, closeness and betweenness centrality was depressive levels. Other nodes with high centrality were vitality and headache intensity. DISCUSSION: This is the first study applying a network analysis to understand the connections between headache-related, psychophysical, psychological and health-related variables in TTH. Current findings support a model on how the variables are connected, albeit in separate clusters. The role of emotional aspects, such as depression, is supported by the network. Clinical implications of the findings, such as developing TTH treatments strategies targeting these most important variables, are discussed.

Post-COVID-19 persistent headache: A multicentric 9-months follow-up study of 905 patients.

BACKGROUND: Headache is a frequent symptoms of coronavirus disease 2019 (COVID-19). Its long-term evolution remains unknown. We aim to evaluate the long-term duration of headache in patients that presented headache during the acute phase of COVID-19. METHODS: This is a post-hoc multicenter ambisective study including patients from six different third-level hospitals between 1 March and 27 April 2020. Patients completed 9 months of neurological follow-up. RESULTS: We included 905 patients. Their median age was 51 (IQR 45-65), 66.5% were female, and 52.7% had a prior history of primary headache. The median duration of headache was 14 (6-39) days; however, the headache persisted after 3 months in 19.0% (95% CI: 16.5-21.8%) and after 9 months in 16.0% (95% confidence interval: 13.7-18.7%). Headache intensity during the acute phase was associated with a more prolonged duration of headache (Hazard ratio 0.655; 95% confidence interval: 0.582-0.737). CONCLUSION: The median duration of headache was 2 weeks, but in approximately a fifth of patients it became persistent and followed a chronic daily pattern.