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Abstract Objective To develop machine learning models using patient and migraine features that can predict treatment responses to commonly used migraine preventive medications. Background Currently, there is no accurate way to predict response to migraine preventive medications, and the standard trial‐and‐error approach is inefficient. Methods In this cohort study, we analyzed data from the Mayo Clinic Headache database prospectively collected from 2001 to December 2023. Adult patients with migraine completed questionnaires during their initial headache consultation to record detailed clinical features and then at each follow‐up to track preventive medication changes and monthly headache days. We included patients treated with at least one of the following migraine preventive medications: topiramate, beta‐blockers (propranolol, metoprolol, atenolol, nadolol, timolol), tricyclic antidepressants (amitriptyline, nortriptyline), verapamil, gabapentin, onabotulinumtoxinA, and calcitonin gene‐related peptide (CGRP) monoclonal antibodies (mAbs) (erenumab, fremanezumab, galcanezumab, eptinezumab). We pre‐trained a deep neural network, “TabNet,” using 145 variables, then employed TabNet‐embedded data to construct prediction models for each medication to predict binary outcomes (responder vs. non‐responder). A treatment responder was defined as having at least a 30% reduction in monthly headache days from baseline. All model performances were evaluated, and metrics were reported in the held‐out test set (train 85%, test 15%). SHapley Additive exPlanations (SHAP) were conducted to determine variable importance. Results Our final analysis included 4260 patients. The responder rate for each medication ranged from 28.7% to 34.9%, and the mean time to treatment outcome for each medication ranged from 151.3 to 209.5 days. The CGRP mAb prediction model achieved a high area under the receiver operating characteristics curve (AUC) of 0.825 (95% confidence interval [CI] 0.726, 0.920) and an accuracy of 0.80 (95% CI 0.70, 0.88). The AUCs of prediction models for beta‐blockers, tricyclic antidepressants, topiramate, verapamil, gabapentin, and onabotulinumtoxinA were: 0.664 (95% CI 0.579, 0.745), 0.611 (95% CI 0.562, 0.682), 0.605 (95% CI 0.520, 0.688), 0.673 (95% CI 0.569, 0.724), 0.628 (0.533, 0.661), and 0.581 (95% CI 0.550, 0.632), respectively. Baseline monthly headache days, age, body mass index (BMI), duration of migraine attacks, responses to previous medication trials, cranial autonomic symptoms, family history of headache, and migraine attack triggers were among the most important variables across all models. A variable could have different contributions; for example, lower BMI predicts responsiveness to CGRP mAbs and beta‐blockers, while higher BMI predicts responsiveness to onabotulinumtoxinA, topiramate, and gabapentin. Conclusion We developed an accurate prediction model for CGRP mAbs treatment response, leveraging detailed migraine features gathered from a headache questionnaire before starting treatment. Employing the same methods, the model performances for other medications were less impressive, though similar to the machine learning models reported in the literature for other diseases. This may be due to CGRP mAbs being migraine‐specific. Incorporating medical comorbidities, genomic, and imaging factors might enhance the model performance. We demonstrated that migraine characteristics are important in predicting treatment responses and identified the most crucial predictors for each of the seven types of preventive medications. Our results suggest that precision migraine treatment is feasible.

BACKGROUND: Sustained ventricular tachycardia (VT) in cardiac amyloidosis is uncommon, and the substrate and outcomes of catheter ablation are not defined. METHODS: We included 22 consecutive patients (mean age, 68±10 years; male sex, 91%) with cardiac amyloidosis (ATTR [transthyretin], n=16; light chain, n=6) undergoing catheter ablation for VT/ventricular fibrillation (VF) between 2013 and 2023 in a retrospective, observational, international study. The primary efficacy outcome was recurrent VT/VF during follow-up, while the primary safety end point included major procedure-related adverse events. RESULTS: The indication for ablation was drug-refractory VT in 17 patients (77%), and premature ventricular complex–initiated polymorphic VT/VF in 5 patients (23%). Catheter ablation was performed using endocardial (n=17.77%) or endo-epicardial approaches (n=5.23%). Complete endocardial electroanatomical voltage maps of the left and right ventricles were obtained in 17 (77%) and 10 (45%) patients, respectively. Each patient had evidence of low-voltage areas, most commonly involving the interventricular septum (n=16); late potentials were recorded in 16 patients (73%). A median of 1 (1–2) VT was inducible per patient; 12 of the 26 mappable VTs (46%) originated from the interventricular septum. Complete procedural success was achieved in 16 patients (73%), with 4 (18%) major procedure-related adverse events. After a median follow-up of 32 (14–42) months, sustained VT/VF recurrence was observed in 9 patients (41%); survival free from VT/VF recurrence was 56% (95% CI, 36%–86%) at 36-month follow-up, and most patients remained on antiarrhythmic drugs. A significant reduction in per patient implantable cardioverter defibrillator therapies was noted in the 6-month period after ablation (before: 6 [4–9] versus after: 0 [0–0]; P <0.001). In multivariable analysis, complete procedural success was associated with reduced risk of recurrent VT/VF (hazard ratio, 0.002; P =0.034). CONCLUSIONS: Catheter ablation can achieve control of recurrent VT/VF in more than half of patients with cardiac amyloidosis, and the reduction in VT/VF burden post-ablation may be relevant for quality of life. Septal substrate and risk of procedure-related complications challenge successful management of patients with cardiac amyloidosis and VT/VF.

The COVID-19 pandemic dramatically exposed the vulnerabilities of supply chains in the healthcare sector. James R. Francis, Alok Baveja, Xin (David) Ding, Ann D. Bagchi, Benjamin Melamed, and Diane Hill conducted an in-depth study of how Mayo Clinic addressed these challenges and present three strategies for the future of the healthcare industry.

AbstractBackgroundChronic idiopathic constipation (CIC) is a disorder of gut–brain interaction characterized by a variety of bowel movement‐related and abdominal symptoms. A greater understanding of medication use and satisfaction with symptom control may provide insights to optimize patient care. Therefore, we explored these aspects of the disorder in adults with CIC.MethodsThis study assessed data collected from a large nationwide survey of adult participants in the United States, querying demographics, clinical characteristics, and comorbid conditions, as well as medication use, care‐seeking behaviors, and satisfaction with symptom control. Participants were grouped into the CIC cohort if they met Rome IV criteria, with controls matched 1:1 according to age, sex, race, region, and Charlson Comorbidity Index score. All data were self‐reported.Key ResultsTwo thousand five hundred and thirty‐three participants with CIC were matched 1:1 to controls. In the CIC cohort, abdominal pain was the most reported symptom leading to medication use: 15.9% of respondents were receiving a prescription medication in addition to an over‐the‐counter medication, while 26.3% were taking neither. In addition, only one‐third were satisfied with the control of their symptoms; however, satisfaction was significantly higher in respondents taking a prescription medication (p < 0.001). The proportion of reported comorbidities was significantly higher in the CIC cohort versus the control cohort, with chronic pain, anxiety, and depression among the highest (p < 0.001 for all).Conclusions and InferencesThis study emphasizes the need for better communication regarding prescription medications and their benefits, with the goal of further improving CIC patients' overall symptoms.

AbstractPrior studies have suggested that immune thrombotic thrombocytopenic purpura (iTTP) may display seasonal variation; however, methodologic limitations and sample sizes have diminished the ability to perform a rigorous assessment. This 5‐year retrospective study assessed the epidemiology of iTTP and determined whether it displays a seasonal pattern. Patients with both initial and relapsed iTTP (defined as a disintegrin and metalloprotease with thrombospondin type motifs 13 activity <10%) from 24 tertiary centers in Australia, Canada, France, Greece, Italy, Spain, and the US were included. Seasons were defined as: Northern Hemisphere—winter (December–February); spring (March–May); summer (June–August); autumn (September–November) and Southern Hemisphere—winter (June–August); spring (September–November); summer (December–February); autumn (March–May). Additional outcomes included the mean temperature in months with and without an iTTP episode at each site. A total of 583 patients experienced 719 iTTP episodes. The observed proportion of iTTP episodes during the winter was significantly greater than expected if equally distributed across seasons (28.5%, 205/719, 25.3%–31.9%; p = .03). Distance from the equator and mean temperature deviation both positively correlated with the proportion of iTTP episodes during winter. Acute iTTP episodes were associated with the winter season and colder temperatures, with a second peak during summer. Occurrence during winter was most pronounced at sites further from the equator and/or with greater annual temperature deviations. Understanding the etiologies underlying seasonal patterns of disease may assist in discovery and development of future preventative therapies and inform models for resource utilization.

Abstract Background: Circulating levels of THC and CBD may be altered when administered with medications that strongly or moderately inhibit or induce CYP450 enzymes responsible for metabolizing both substances. THC and CBD levels can also theoretically be altered in individuals who carry germline genetic variants or atypical phenotypes of CYP450 enzymes. In individuals where drug and gene interactions occur together, there could be a heightened impact on the circulating levels of THC and CBD. Materials and Methods: We conducted a retrospective chart review using a database of participants who previously completed pharmacogenomic testing and reported oral cannabis use in a medical encounter. Two pharmacogenomic-trained pharmacists reviewed medications and atypical variants in each participant to characterize the predicted effect of cannabis-drug, cannabis-gene, and cannabis-drug-gene interactions on circulating levels of THC and CBD. Results: Oral cannabis use was confirmed in 71 participants, with an average age of 68.5 years and primarily White women. Regarding THC metabolism, drug-only interactions were noted in 1 participant; both drug and gene interactions were noted in 4 participants; single- or combination-gene-only interactions were noted in 38 participants; and 28 participants had no interactions. Concerning CBD metabolism, drug-only interactions were noted in 4 participants; both drug and gene interactions were noted in 4 participants; single- or combination-gene-only interactions were noted in 36 participants; and 27 participants had no interactions. Conclusion: This study is the first, to our knowledge, to conceptualize the potential impact of drugs and atypical phenotypes on altering circulating levels of THC and CBD in a clinical sample. The absence of published clinical outcomes in this field renders it challenging to estimate clinical significance of these findings. Until such data become available, leveraging the theoretical insights into drug interactions and atypical cannabis metabolism described in our study may serve as a tool to guide clinical care.

Background As no consensus exists on the optimal postoperative rehabilitation protocol in terrible triad injuries, we sought to characterize the reported protocols and relate them to postoperative range of motion (ROM) measures and Mayo Elbow Performance Score (MEPS). Methods A systematic review was performed by searching PubMed/MEDLINE, Embase, Web of Science, and Cochrane databases to identify articles on the operative treatment of terrible triad injuries reporting postoperative rehabilitation protocols were included. Included studies were descriptively summarized. Methodologic quality was assessed using the Methodological Index for Non-randomized Studies criteria. Meta-analysis compared postoperative ROM measures and the MEPS between patients initiating passive ROM exercises at ≤7 days vs. >7 days. Results Our review included 36 articles with 1123 elbows (66% male, mean age: 43 years, follow-up: 27 months). Of the studies reporting physical therapy protocols, it was most commonly initiated at 7 days postoperatively (6/36, 17%), passive ROM exercises at 7 days (3/25, 12%), and active ROM at 21 days (4/26, 15%). On meta-analysis, early passive ROM initiation was not associated with improved elbow ROM or MEPS. Discussion While rehabilitation protocols commonly advised passive ROM at one week post-operatively, meta-analysis did not support functional benefits of early passive ROM. Study design Systematic Review; Level of evidence, 4.

AbstractBackgroundTranscatheter tricuspid valve‐in‐valve (ViV) replacement has yielded good hemodynamic outcomes in the treatment of dysfunctional bioprosthetic valves (BPVs). Intentional fracture of certain rigid BPV frames, if feasible, allows a larger implanted valve when compared with implant into an unfractured BPV. There remains limited data on the feasibility of tricuspid valve frame fracture.AimsEvaluate the feasibility of transcatheter tricuspid ViV replacement with fracture of the underlying BPV ring.MethodsAn international multicenter registry of tricuspid ViV replacement with intentional tricuspid valve frame fracture was created. Demographic data along with procedural characteristics, outcomes, and follow‐up data were collected. Comparison was made to the pre‐ and post‐ViV replacement with fracture of the tricuspid valve frame conditions.ResultsTen patients from six centers were included with a median age and weight of 29 years and 67.3 kg respectively. Tricuspid valve frame fracture was performed using a median balloon diameter 3 mm (IQR 3–5) larger than the true inner diameter (ID). The final ID was a mean of 1.5 mm (95% CI: 0.35, 2.64: p < 0.05), and median 1.1 mm (0.5, 2.1) larger than the reported true ID of the surgical BPV after ViV replacement. The mean tricuspid inflow gradient by echocardiogram decreased by 6.65 mmHg (95% CI: 4.14, 9.15: p < 0.001). All procedures were without complication, specifically there was no heart block, pericardial effusion, or right coronary disruption.ConclusionIntentional tricuspid valve frame fracture with tricuspid ViV replacement is feasible and can increase the valve orifice potentially reducing the risk of ViV patient prosthesis mismatch and is not associated with significant complications.