Citations

ABSTRACTBackgroundThe factors contributing to sustained ventricular arrhythmias (VAs) >30 days after left ventricular assist device (LVAD) implantation are not well‐established.ObjectivesThis study aimed to predict the factors associated with late sustained VAs after LVAD implantation and develop a predictive score to identify patients with an increased risk of late sustained VAs after the procedure.MethodsWe performed a retrospective cohort study on a training cohort of 623 patients and a validation cohort of 157 patients who underwent LVAD implantation at the Mayo Clinic (Rochester, Phoenix, and Jacksonville) from January 1, 2000, to December 30, 2020. Late sustained VAs were defined as ventricular tachycardia (VT) and ventricular fibrillation (VF) occurring >30 days after the LVAD procedure. Detailed chart reviews of the electronic health records within the Mayo Clinic and outside medical records were performed.ResultsA total of 780 patients were included in our study. Late sustained VAs occurred in 30% (n = 232) of the patients. The significant factors associated with late sustained VAs after LVAD were the history of VAs prior to LVAD (34.1% vs. 23.0%, p < 0.01), implantable cardiac defibrillator (ICD) (87.9% vs. 77.6%, p < 0.01) or cardiac resynchronization therapy (CRT) in situ (43.5% vs. 33.6%, p = 0.008), VT ablation prior to LVAD (5.2% vs. 1.8%, p = 0.010), use of amiodarone (49.1% vs. 38.7%, p = 0.007), use of mexiletine (15.5% vs. 5.7%, p < 0.01), and higher left ventricular end‐diastolic diameter (LVEDD) on echocardiography prior to LVAD implantation (71.4 vs. 68.7 mm, p = 0.002). During follow‐up, the patients who developed late sustained VAs after LVAD had lower survival than those who did not (HR = 1.96, 95% CI:156–2.4, p < 0.001). The average time from LVAD to orthotopic heart transplant was longer among late sustained VAs patients (23 vs. 14 months, p < 0.01). The “VIN” risk score was created to identify four risk groups: low (scores 0), intermediate (score 1), high (score 2), and very high (score 3). The rates of late VA's in the training cohort at 1 year were 9.5%, 14%, 18%, and 25% which was almost similar to the risk of late VA's at validation cohort 10%, 12%, 20%, and 63%, respectively.ConclusionsLate sustained VAs occurred in 30% of the patients who received LVAD and were associated with lower survival. The VIN risk score was developed and validated to stratify patients into low, intermediate, high, and very high risk of late sustained VAs.

ABSTRACTFood security is one of the most researched social determinants of health (SDoH), however, there is a lack of literature on the impact of food security on cardiovascular disease in pregnancy. The primary objective was to examine the association between food security with hypertensive disorders of pregnancy. We performed a cross‐sectional analysis of 2019–2022 data from the National Health Interview Survey. The study population included women of childbearing age who were either pregnant or recently pregnant. Logistic regression models were developed to examine the association between food security and hypertensive disorders of pregnancy. Of the 1635 women included in the analysis, the rate of hypertensive disorders of pregnancy was 11.1% and the rate of low and very low food security was 5.3% and 4.0%, respectively. The prevalence was 5.8% for hyperlipemia, 0.3% for cardiovascular disease, and 10.5% for diabetes mellitus. The odds of hypertensive disorders of pregnancy were statistically significantly increased among women with low food security compared to women with high food security (odds ratio [OR] 2.40, 95% confidence interval [CI]: 1.19–4.81) after adjusting for age, race, ethnicity, insurance status, body mass index, hyperlipidemia, diabetes mellitus, and cardiovascular disease. Further studies are needed to elucidate the causes of hypertensive disorders of pregnancy and interventions to address including the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) and food pantries, as it may be more feasible to address issues of food security among pregnant women.

Abstract Background and Aims Artificial intelligence (AI) algorithms in 12-lead electrocardiogram (ECG) provides promising age prediction methods. This study investigated whether the discrepancy between ECG-derived AI-predicted age (AI-ECG age) and chronological age, termed electrocardiographic aging (ECG aging), is associated with atrial fibrillation (AF) risk. Methods An AI-ECG age prediction model was developed using a large-scale dataset (1 533 042 ECGs from 689 639 participants) and validated with six independent and multi-national datasets (737 133 ECGs from 330 794 participants). The AI-ECG age gap was calculated across two South Korean cohorts [mean (standard deviation) follow-up: 4.1 (4.3) years for 111 483 participants and 6.1 (3.8) years for 37 517 participants], one UK cohort [3.0 (1.6) years; 40 973 participants], and one US cohort [12.9 (8.6) years; 90 639 participants]. Participants were classified into two groups: normal group (age gap &lt; 7 years) and ECG-aged group (age gap ≥ 7 years). The predictive capability of ECG aging for new- and early-onset AF risk was assessed. Results The mean AI-ECG ages were 51.9 (16.2), 47.4 (12.5), 68.4 (7.8), and 56.7 (14.6) years with age gaps of .0 (6.8), −.1 (6.0), 4.7 (8.7), and −1.4 (8.9) years in the two South Korean, UK, and US cohorts, respectively. In the ECG-aged group, increased risks of new-onset AF were observed with hazard ratios (95% confidence intervals) of 2.50 (2.24–2.78), 1.89 (1.46–2.43), 1.90 (1.55–2.33), and 1.76 (1.67–1.86) in the two South Korean, UK, and US cohorts, respectively. For early-onset AF, odds ratios were 2.89 (2.47–3.37), 1.94 (1.39–2.70), 1.58 (1.06–2.35), and 1.79 (1.62–1.97) in these cohorts compared with the normal group. Conclusions The AI-derived ECG aging was associated with the risk of new- and early-onset AF, suggesting its potential utility to identify individuals for AF prevention across diverse populations.

Abstract Objective Childhood SjD (cSjD) is a rare disease. There are no widely accepted diagnostic or classification criteria for cSjD. To fill this gap, members from the CARRA Sjögren Disease Workgroup and the International Childhood Sjögren Disease Workgroup created a clinical diagnostic algorithm. This study evaluated the accuracy of this algorithm using an international cohort of participants with clinician-diagnosed cSjD. Methods First, experts developed a cSjD diagnostic algorithm through a series of virtual workgroup meetings. Using the adult classification criteria as a framework, experts modified the algorithm through opinion and literature review. The group discussed and finalized each algorithm step by achieving majority rule. Then, R statistical software was used to evaluate each participant’s disease status in the diagnostic algorithm via an international cohort of 300 cSjD cases. Results The diagnostic algorithm has three distinct clinical pathways representing the key clinical presentation in cSjD: parotitis, extraglandular manifestations, and sicca symptoms. The algorithm showed an overall sensitivity of 75% in the population that had enough data to complete at least one pathway of the algorithm (n = 100 filtered out of 300). The parotitis (70%) and sicca pathways (82%) had the highest sensitivity, and the extraglandular pathway (52%) had the lowest. Conclusion As cSjD lacks a diagnostic strategy, this algorithm provides a clinical tool for evaluating children with cSjD-like symptoms. It performed well in an international cohort of cSjD, supporting the integration of this algorithm into clinical practice; however, its utility may be limited by low utilization of diagnostic testing in this population.

AbstractPrior case reports have suggested that treating thoracic outlet syndrome (TOS) may relieve intractable migraine headaches, but there has been no case series large enough to show when underlying TOS should be suspected as a contributor to migraine burden. This observational followed by questionnaire study was performed in an outpatient neurology practice to identify clinical features of patients with migraine in which TOS contributed to migraine burden. We report the clinical features of 50 consecutive patients (48 women, 2 men, age = 43.9+/12.7 years) who were treated for chronic migraine and TOS (20 migraine with aura, 28 migraine without aura, two hemiplegic migraines). Headaches had become chronic within 1 year of onset in 21 patients (42%) with characteristics as follows (percentages are based on known data): greater severity ipsilateral to TOS limb pain (38/50=76%), presence of limb swelling (32/48=67%), and worsened by recumbency (32/38=84%). Thirty‐two patients eventually needed surgery, which included percutaneous transluminal venoplasty, 1st rib removal, scalenectomy, pectoralis minor tenotomy, and/or vein patching. The mean improvement of headaches on the treated side was 72 ± 26.7%; 12 patients experienced complete resolution of headaches after treatment of TOS (follow‐up 7.2 ± 5.2 months). Questionnaire responders reported significant reductions in headache days (18.3 ± 8.6 to 11.1 ± 10.8 days/month, p < 0.0016), severity (7.8+/2.5 to 5.4 ± 2.9, p < 0.00079), and need for emergency care (3.6 ± 4.0 to 0.71 ± 1.3 visits/year, p < 0.0029). Chronic migraines can be important manifestations of TOS. Early transition to a chronic state, lateralized limb pain, and headaches worsened by recumbency are clues to the contribution of TOS pathology. Addressing the TOS contribution to migraine can significantly reduce migraine headache burden.

Introduction: Tricuspid regurgitation (TR) is a common complication of right ventricle lead extraction (RVLE) in 5 to 10% of cases. This study aims to identify clinical outcomes such as predictors of heart failure hospitalization, need for tricuspid valve intervention, and death among patients with new severe TR after device lead removal (DLR). Methods: Patients who underwent DLR (pacemaker/ICD) between 3/1997 and 3/2024 were identified. Those who had an echocardiogram before and after RVLE with evidence of new severe TR were included. Cox univariable regression controlling for current age was used to assess association with death. Prentice Williams Peterson total time (PWPTT) Cox univariable regression was used to determine the rate of heart failure hospitalization up to three events per subject. Bivariable cox regression was used to control for ejection fraction for ICD and coil removal. Analysis was conducted using Stata IC16. Results: We identified 2,122 people who underwent RVLE, of whom 90 (4.24%) developed new severe TR and were included in the analysis. There were 68 hospitalizations among 38 people at a median of 2 years following lead extraction (IQR 0.57 to 4.5 years). The rate of hospitalization was 11.60 [9.14 to 14.71] per 100 person-years. Removal of an ICD was associated with increased hospitalization (HR 5.48 p<0.001) but not mortality (HR 1.21, p=0.707). Removal of a single coil ICD lead was associated with increased hospitalization rate (HR 3.01, p=0.031) but not mortality (HR =0.51, p=0.380). Removal of dual coil ICD lead was associated with more than a tenfold increase in hospitalization rate (HR 11.55, p=0.001) and four times the mortality rate (HR 4.05, p=0.031) (Figures 1&2). The presence of an abandoned (pacemaker/ICD) lead was associated with increased hospitalization (HR 5.75, p=0.004) and mortality (HR4.95, p=0.034). There was no change in hospitalization rate following tricuspid valve replacement (HR 1.33, p=0.716, n=18). Conclusion: Among people with new severe TR following DLR, the characteristics of the leads are strongly correlated with morbidity and mortality.

Background: The optimal timing of pacemaker reimplantation following transvenous lead removal (TLR) of infected cardiac implantable electronic device (CIED) remains unclear. Objective: Our study aimed to assess the impact of timing to pacemaker reimplantation after TLR of infected CIED on hospital outcomes. Method: Using the Nationwide Readmissions Database, patients aged ≥18 years who underwent new pacemaker implantation with percutaneous approach following TLR of infected CIED from 2017 to 2020 were identified. The study population was stratified based on the timing of pacemaker reimplantation following TLR of infected CIED: early (<5 days) vs delayed (≥5 days). Weighted-propensity-score matched conditional multivariable logistic regressions were performed to determine the impact of the timing on various outcomes. Results: In our study, 469 (66.9%) patients received early device reimplantation, and 232 (33.1%) patients received delayed device reimplantation (≥5 days). Post-procedurally, patients in the delayed group had a higher risk of prolonged hospital stay (95% CI OR: 42.37 (6.36 – 282.11); p<0.01) and non-home discharge (95% CI OR: 2.00 (1.35 – 2.95), p<0.01). There was no significant difference between both groups in the early mortality, 30-day readmission, and procedural complications. Conclusion: Our study suggests that time-to-device reimplantation from TLR of infected CIED did not affect the overall short-term in-hospital outcomes. However, delayed device reimplantation was associated with a higher rate of prolonged hospital stay and non-home discharge.

Abstract Background In the TOPAZ-1, patients with biliary tract cancers (BTC) and recurrence within 6 months after surgery were excluded, even if this event is frequently observed in clinical practice. Our study aimed to assess if the efficacy of cisplatin-gemcitabine-durvalumab (CGD) in this population is comparable to that reported in the phase 3 trial. Methods The study cohort included patients with BTC who underwent surgery on the primary tumor, experienced disease recurrence occurring ≤6 months or &gt;6 months after surgery or after the end of adjuvant therapy and started CGD. The primary objectives were overall survival (OS) and progression free survival (PFS). Results A total of 178 patients were enrolled. No significant differences were observed between early and late relapse groups in OS (23.4 months vs not reached; HR 1.26; 95% CI, 0.67-2.37; P = .45) and PFS [7.0 months vs 9.8 months; HR 1.3(95% CI, 0.9-2.1) P = .13]. Overall response rate and disease control rate (P = .33 and P = .62) were comparable between the 2 groups, as the overall safety profile. In addition, we compared survival outcomes between the selected population and a historical cohort of patients with BTC treated with cisplatin-gemcitabine (CG) and found that despite the absence of statistical significance, CGD showed an outcome trend compared with CG regardless of the time of recurrence after surgery or adjuvant chemotherapy [(CG ≤ 6 vs CGD ≤ 6 months: HR 0.59, 95%CI, 0.35-1.01, P = .05; HR 0.70; 95%CI, 0.46-1.06, P = .09, OS and PFS, respectively) and (CG &gt; 6 vs. CGD &gt; 6 months: HR 0.50; 95%CI, 0.29-0.88, P = 0.0165; HR 0.54; 95%CI, 0.35-0.84, P = .0068, OS and PFS, respectively)]. Conclusion Our analysis suggests that CGD retains its efficacy independently of the timing of relapse after surgery or completion of adjuvant treatment in patients with advanced BTC.

Abstract During the past several decades, medical education research has advanced in many ways. However, the field has struggled somewhat with translating knowledge into practice. The field has tremendous potential to generate insights that may improve educational outcomes, enhance teaching experiences, reduce costs, promote equity, and inform policy. However, the gap between research and practice requires attention and reflection. In this commentary, the authors reflect on ways that medical education researchers can balance relevance and rigor, while discussing a potential path forward. First, medical education research can learn from implementation science, which focuses on adopting and sustaining best practices in real-world settings. Second, gaining a deeper understanding of the complex and dynamic ways that medical education contexts may influence the uptake of research findings into practice would facilitate the translation and mobilization of knowledge into practical settings. Third, moving from unilateral knowledge translation to participatory knowledge mobilization and engaging diverse stakeholders as active participants in the research process can also enhance impact and influence research findings. Overall, for medical education research to effect meaningful change, it must transition from producing generalizable findings to generating context-specific insights and embracing participatory knowledge mobilization. This shift will involve rethinking traditional research approaches and fostering collaboration with knowledge users to cocreate and implement innovative solutions tailored to their unique settings.