The role of avoiding known triggers, embracing protectors, and adhering to healthy lifestyle recommendations in migraine prophylaxis: Insights from a prospective cohort of 1125 people with episodic migraine.

OBJECTIVES/BACKGROUND: Until recently, guidelines for migraine prevention recommended avoiding known migraine headache triggers. Adhering to healthy lifestyle behaviors is also recommended. In a recent cohort study many triggers were found to decrease the probability of migraine attacks in some individuals. The extent to which people with migraine adhere to healthy lifestyle recommendations is unknown. We set out to determine if known migraine trigger factors and daily adherence to healthy lifestyle recommendations are associated with decreased probability of migraine attacks in some individuals. METHODS: This was an observational longitudinal cohort study of individuals with episodic migraine who registered to track their headache symptoms and daily exposure to trigger factors prospectively using a migraine-headache electronic diary during 90 days. We assessed whether triggers increased or decreased migraine attack risk in each individual. In addition, we calculated the proportion of days in which the individual adhered to lifestyle recommendations. RESULTS: We analyzed a total of 1125 individuals contributing 14,080 migraine attacks. Out of 47 triggers, 24 were more often associated with decreased rather than with increased migraine attack risk. Most pronouncedly this was true for caffeine, alcohol, and chocolate; happiness; relaxedness; sleep factors (longer duration, higher quality, and waking up refreshed); and physical activity. People who were more compliant with healthy behaviors, especially keeping good hydration and regular meals, were significantly older and had been diagnosed with migraine disease for a longer period, compared to those who were less compliant. Overall, exercising ≥3 times a week was the least followed recommendation. CONCLUSION: Many triggers behaved as protectors in a non-negligible proportion of individuals with episodic migraine, challenging the recommendation of avoiding known triggers. Low adherence to healthy lifestyle recommendations demonstrates an opportunity to increase awareness among people with migraine.

An observational study of self-reported migraine triggers and prospective evaluation of the relationships with occurrence of attacks enabled by a smartphone application (App).

OBJECTIVE: To investigate the relationship between self-reported triggers and the occurrence of migraine attacks using a smartphone application. BACKGROUND: One of several issues around the study of migraine attack triggers is that limited available evidence supports whether self-reported triggers can induce a headache on a particular subject. METHODS: This is an observational longitudinal cohort study of individuals with migraine registered to track their headaches prospectively using a smartphone application. For 90 days, participants entered daily data about triggers (potential triggers and premonitory symptoms) that may be associated with attack risk, as well as migraine symptoms. The statistical significance of univariate associations between each trigger and migraine recurrent events was determined for each individual. Statistically identified triggers were then compared to self-reported triggers. RESULTS: In 328 individuals (290/328 [88.4%] female; mean [standard deviation] 4.2 [1.5] migraine attacks/month) the mean (standard deviation) number of triggers moderately or highly endorsed per individual was 28.0 (7.7) in individuals presented with up to 38 possible triggers. Of these, an average (standard deviation) of 2.2 (2.1) triggers per individual were statistically associated with increased risk of attacks. Even the most commonly endorsed triggers (sleep quality, stress, tiredness/fatigue, sleep duration, dehydration, neck pain, missed meals, eyestrain, mean barometric pressure, and anxiety) were statistically associated in fewer than one third of individuals suspecting each, with the exception of neck pain (117/302 [38.7%]). CONCLUSIONS: Individuals with episodic migraine believe that many triggers contribute to their attacks; however, few of these withstand statistical testing at the individual level. Improved personal knowledge of potential triggers and premonitory symptoms may help individuals adopt behavioral changes to mitigate attack risk.

Patterns of Perceived Stress Throughout the Migraine Cycle: A Longitudinal Cohort Study Using Daily Prospective Diary Data.

OBJECTIVES: To describe patterns of perceived stress across stages of the migraine cycle, within and between individuals and migraine episodes as defined for this study. METHODS: Individuals with migraine aged ≥18 years, who were registered to use the digital health platform N1-HeadacheTM , and completed 90 days of daily data entry regarding migraine, headache symptoms, and lifestyle factors were eligible for inclusion. Perceived stress was rated once a day at the participant's chosen time with a single question, "How stressed have you felt today?" with response options graded on a 0-10 scale. Days were categorized into phases of the migraine cycle: Ppre  = pre-migraine headache (the 2 days prior to the first day with migraine headache), P0  = migraine headache days, Ppost  = post-migraine headache (the 2 days following the last migraine day with migraine headache), and Pi  = interictal days (all other days). Episodes, defined as discrete occurrences of migraine with days in all 4 phases, were eligible if there was at least 1 reported daily perceived stress value in each phase. Individuals with ≥5 valid episodes, and ≥75% compliance (tracking 90 days in 120 calendar days or less) were eligible for inclusion in the analysis. RESULTS: Data from 351 participants and 2115 episodes were included in this analysis. Eighty-six percent of the sample (302/351) were female. The mean number of migraine days per month was 6.1 (range 2-13, standard deviation = 2.3) and the mean number of episodes was 6.0 (range 5-10, standard deviation = 1.0) over the 90-day period. Only 8 (8/351, 2.3%) participants had chronic migraine (defined as 15 or more headache days per month with at least 8 days meeting criteria for migraine). Cluster analysis revealed 3 common patterns of perceived stress variation across the migraine cycle. For cluster 1, the "let down" pattern, perceived stress in the interictal phase (Pi ) falls in the pre-headache phase (Ppre ) and then decreases more in the migraine phase (P0 ) relative to Pi . For cluster 2, the "flat" pattern, perceived stress is relatively unchanging throughout the migraine cycle. For cluster 3, the "stress as a trigger/symptom" pattern, perceived stress in Ppre increases relative to Pi , and increases further in P0 relative to Pi . Episodes were distributed across clusters as follows: cluster 1: 354/2115, 16.7%; cluster 2: 1253/2115, 59.2%, and cluster 3: 508/2115, 24.0%. Twelve participants (12/351, 3.4%) had more than 50% of their episodes fall into cluster 1, 216 participants (216/351, 61.5%) had more than 50% of their episodes fall into cluster 2, and 25 participants (25/351, 7.1%) had more than 50% of their episodes fall into cluster 3. There were 40 participants with ≥90% of their episodes in cluster 2, with no participants having ≥90% of their episodes in cluster 1 or 3. CONCLUSIONS: On an aggregate level, perceived stress peaks during the pain phase of the migraine cycle. However, on an individual and episode basis, there are 3 dominant patterns of perceived stress variation across the migraine cycle. Elucidating how patterns of perceived stress vary across the migraine cycle may contribute insights into disease biology, triggers and protective factors, and provide a framework for targeting individualized treatment plans.

Towards improved migraine management: Determining potential trigger factors in individual patients.

Background Certain chronic diseases such as migraine result in episodic, debilitating attacks for which neither cause nor timing is well understood. Historically, possible triggers were identified through analysis of aggregated data from populations of patients. However, triggers common in populations may not be wholly responsible for an individual's attacks. To explore this hypothesis we developed a method to identify individual 'potential trigger' profiles and analysed the degree of inter-individual variation. Methods We applied N = 1 statistical analysis to a 326-migraine-patient database from a study in which patients used paper-based diaries for 90 days to track 33 factors (potential triggers or premonitory symptoms) associated with their migraine attacks. For each patient, univariate associations between factors and migraine events were analysed using Cox proportional hazards models. Results We generated individual factor-attack association profiles for 87% of the patients. The average number of factors associated with attacks was four per patient: Factor profiles were highly individual and were unique in 85% of patients with at least one identified association. Conclusion Accurate identification of individual factor-attack profiles is a prerequisite for testing which are true triggers and for development of trigger avoidance or desensitisation strategies. Our methodology represents a necessary development toward this goal.

Sufficiency and necessity in migraine: how do we figure out if triggers are absolute or partial and, if partial, additive or potentiating?

Migraine is, to a great extent, a genetically determined disorder and once it has manifested itself, it generally continues for years if not for decades. While the migraine is active, headaches can seemingly occur spontaneously but are often reportedly precipitated by events or factors, known as migraine triggers, the interplay of which is the topic of this paper. Among migraine triggers, the menstrual cycle is an important one that probably accounts for much of the excess of migraine in women compared with men. Much has also been written about stress as a trigger of migraine, with headache occurring after rather than during stress, when relaxation occurs. Stress is also 1 of the 4 most often acknowledged headache triggers in general, the others being fatigue, not eating on time, and lack of sleep. Singularly, the triggers are generally necessary but not sufficient, ie, not powerful enough to bring on headache by themselves and, hence, compounding of those triggers is usually required. There is evidence to suggest that the premenstrual phase has a magnifying effect on the stress-headache interaction. The same is true for low-sleep duration with the (predictive) model fitting best when stress and low-sleep duration are considered additive. Menstruation has been identified as possibly the only absolute trigger of headache that is both necessary and sufficient. The scientific study of migraine triggers requires knowledge not just of how often in an individual a trigger is followed by migraine headache but also of how often it is not. Having identified trigger-headache associations, it needs to be determined which triggers are causative in the individual, either singly or in combination with others. This requires running an experiment with the individual that involves behavioral intervention to change exposure to a given trigger and determine whether that improves migraine. The ubiquitous adoption of the smart phone as a personal-data entry device, along with the possibility of bringing the results of sophisticated statistical analysis into the hands of patients and physicians, may well provide us with an important set of tools that will finally allow the unravelling of the age-old migraine-trigger puzzle.

Prevention of medication overuse and medication overuse headache in patients with migraine: a randomized, controlled, parallel, allocation-blinded, multicenter, prospective trial using a mobile software application.

BACKGROUND: Overall, 55% of the German population suffers from primary episodic headaches according to recent studies. Inadequate management of headache disorders is a significant medical problem. The prevalence of medication overuse headache (MOH) is about 1% with an estimated number of 800,000 people in Germany. Medication overuse (MO) and MOH are usually managed through a complex process of medication withdrawal and initiating of prophylaxis. However, patients who were successfully treated for MO or MOH have a high relapse rate in the following 2 years. Previously, continued monitoring of self-reported medication intake demonstrated lower relapse rates. The prevalence and burden of MO and MOH are high, and effective strategies to prevent the development of a relapse into MOH or de novo MOH are still missing. Therefore, the MOH trial was designed to assess the effects of combining self-reported medication intake with daily monitoring of the entered data and a personalized patient-specific medication intake feedback system in an easy-accessible app-based platform in order to prevent the development and relapse of MO(H). METHODS: The MOH trial is a randomized, controlled, parallel, multicenter, prospective trial. A total of 624 migraine patients with frequent migraine attacks and 336 patients who underwent treatment for MO(H) will be randomly allocated to use either a customized app with or without individual feedback regarding their self-reported medication intake for 12 months. The primary outcome will be the proportion of patients developing MO or MOH for at least 3 consecutive months between baseline and end of study visits. DISCUSSION: This trial will assess the effects of providing patients with feedback regarding their self-reported use of migraine medications and migraine days using a mobile software on the development or prevention of MO(H). We hypothesize that the development of MO(H) in patients with frequent episodic migraine (EM) or chronic migraine (CM) and relapse after treatment of MO(H) can be reduced by a feedback system. If this trial proves that using an app with specific and unspecific messaging to the patient is successful, this method, which is now investigated mainly in specialized headache centers, could later be extended to primary care, thus providing benefits for a broader patient group. TRIAL REGISTRATION: German Clinical Trials Register DRKS00025961 . Registered on 04 August 2021.

Oral insulin-mimetic compounds that act independently of insulin.

The hallmarks of insulin action are the stimulation and suppression of anabolic and catabolic responses, respectively. These responses are orchestrated by the insulin pathway and are initiated by the binding of insulin to the insulin receptor, which leads to activation of the receptor's intrinsic tyrosine kinase. Severe defects in the insulin pathway, such as in types A and B and advanced type 1 and 2 diabetes lead to severe insulin resistance, resulting in a partial or complete absence of response to exogenous insulin and other known classes of antidiabetes therapies. We have characterized a novel class of arylalkylamine vanadium salts that exert potent insulin-mimetic effects downstream of the insulin receptor in adipocytes. These compounds trigger insulin signaling, which is characterized by rapid activation of insulin receptor substrate-1, Akt, and glycogen synthase kinase-3 independent of insulin receptor phosphorylation. Administration of these compounds to animal models of diabetes lowered glycemia and normalized the plasma lipid profile. Arylalkylamine vanadium compounds also showed antidiabetic effects in severely diabetic rats with undetectable circulating insulin. These results demonstrate the feasibility of insulin-like regulation in the complete absence of insulin and downstream of the insulin receptor. This represents a novel therapeutic approach for diabetic patients with severe insulin resistance.

Streptococcus bovis bacteremia and fetal death.

BACKGROUND: Preterm premature rupture of membranes leading to intraamniotic infection and fetal death may be due to unusual bacterial species. CASE: A young multipara presented at 24 weeks and 6 days' gestation with rupture of membranes of 2 days' duration. She was febrile and hypotensive. No fetal heart activity was noted. Antibiotics, fluid resuscitation, and oxytocin were begun with delivery of a 798-g stillborn fetus. Maternal and fetal cultures demonstrated Streptococcus bovis as the infectious agent. CONCLUSION: Unusual bacteria such as S bovis are sometimes responsible for severe maternal and fetal infections. Aggressive fluid resuscitation, uterine evacuation, and triple antibiotic therapy until culture results are available are indicated.