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Introduction: Autoimmunity in Rosai-Dorfman disease (RDD) has been reported in several case reports and small case series. The recent consensus RDD guidelines even classify “immune-related RDD” as a distinct entity, but little is known about the prevalence and patterns of autoimmune conditions in this rare disease. We conducted this study to evaluate a large cohort of patients with RDD for concomitant autoimmunity. Methods: We conducted a retrospective review of cases diagnosed with RDD from five referral centers globally. Data pertaining to autoimmunity were captured in terms of serology and a clinical diagnosis of autoimmune disease (AID) and compared to previously reported prevalence of AID and autoimmunity in the general population and in patients with other lymphomas. Results: We included 157 patients diagnosed with RDD from 2003-2023. Median age at the time of RDD diagnosis was 48 years, IQR 35.5-60. This included 103 females (65.6%) and 54 male (34.4%). Racial distribution included 54 Black (34.4%), 52 White (33.1%), 40 Asian (25.5%), 7 Middle Eastern (4.5%) and 4 other (2.5%). 83 patients had multi-systemic disease (52.8%) and 74 had single organ involvement (47.2%). Most common organs involved were skin/subcutaneous tissue (78, 49.7%), lymph nodes (63, 40.1%), bone (54, 34.2%). Tissue next generation sequencing data was available for 100 patients (63.7 %) and showed KRAS mutation (19, 19 %), MAP2K/MEK (13, 13%), other mutations (27, 27 %), and no mutations (41, 41%). Mean ESR at diagnosis of RDD was 28.42 mm/Hr and mean CRP was 19.5 mg/L. In our cohort, 28 patients (17.8%) were diagnosed with an AID. 19 (67.8%) were diagnosed with the AID prior to the diagnosis of RDD. Most common AID was systemic lupus erythematosus (6, 21.4%), rheumatoid arthritis (5, 17.8%), autoimmune hemolytic anemia (3, 10.7%), polymyalgia rheumatica (2, 7.1%). AID was more common in female vs male (64.3% vs 35.7%, p 0.8) and were more commonly seen in patients with multisystem compared to single organ RDD (60.7% vs 39.3%, p 0.3). Mean ESR and CRP at the time of RDD diagnosis in patients with AID were 40.63 mm/Hr and 37.04 mg/L respectively. Autoimmune antibodies were tested in 90 patients (57.3%), of which 43 (47.8%) were positive for atleast one autoantibody which included 15 patients (16.7%) with AID and a positive autoantibody and 6 (6.6%) with AID and negative antibodies (p 0.01). Most common antibodies were ANA (29/83, 34.9%), 42.3% with a titer higher than 1:160. Other antibodies include RF (10/60, 16.67%), anti-neutrophilic cytoplasmic antibody (3/19, 15.8%), double stranded DNA (6/56, 10.7%). Positive Antibodies were more common in female compared to male patients (72% vs 23%, p 0.04) and in patients from China compared to North America (45.7% vs 22.6%, p 0.007). Autoantibody positivity was common in multi-system vs single organ RDD (53.5% vs 46.5%, p 0.9). Mean ESR and CRP in this group of patients were 34.54 mm/Hr and 23.93 mg/L respectively. Median duration of follow up for our cohort was 32 months (IQR 14-65). Five-year survival was 93.4%. There were a total 8 deaths reported in the cohort, none of which were in patients with underlying AID. In a multivariable analysis, AID was associated with race (odds ratio [OR] for Middle Eastern compared with Chinese, OR 7, p=0.02) but other factors like organ involvement, mutational status, sex and age at diagnosis were not significant. Conclusions: Our study reveals a high prevalence of autoimmunity in RDD, both in terms of AID (17.8 %) and positive autoantibodies (47.8 %), which is much higher than the general population rates of approximately 3% and 16% respectively, and higher than patients with non-Hodgkin lymphoma, 7.6% and 39%, respectively. There was a trend toward association of AID with multisystem RDD and among individuals from North America and Middle East compared to China, although auto-antibody positivity was more common in Chinese patients. Mean ESR and CRP at the time of diagnosis of RDD was higher in the patients who had AID. We did not find any statistically significant association between AID and autoantibody positivity with the underlying driver mutation. Nearly half of the patients with RDD who also had AID did not have a positive autoantibody, thereby implying the need of clinical evaluation for rheumatological symptoms rather than empiric serological testing. Overall, this study also highlights the need to explore the biological link between RDD and autoimmunity.

Background: Osteochondritis dissecans (OCD) of the knee is a focal idiopathic alteration of subchondral bone and/or its precursor with risk for instability and disruption of adjacent cartilage. Treatment options focused on preventing premature osteoarthritis vary depending on multiple patient and lesion characteristics, including lesion mobility. Purpose: To differentiate lesion mobility before arthroscopy using a multivariable model that includes patient demographic characteristics and physical examination findings. Study Design: Cohort study (Diagnosis); Level of evidence, 2. Methods: Demographic, preoperative physical examination, and radiographic data were collected from a multicenter national prospective cohort of patients with OCD of the knee. Inclusion criteria included patients <19 years of age and patients with arthroscopically confirmed mobility status based on the Research on Osteochondritis Dissecans of the Knee arthroscopy classification. Multivariable logistic regression analysis using stepwise model selection was used to determine factors associated with the likelihood of a mobile versus an immobile lesion. A 75% partition of the data was used for model training, and 25% was used as a validation cohort. Quantitative model fit statistics were computed using the holdout data, including sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC), along with the corresponding 95% CI. Results: A total of 407 patients in the prospective cohort met inclusion criteria, and 62% were male. The mean ± SD age was 13.7 ± 2.2 years, height 161.8 ± 5.3 cm, and weight 59.2 ± 42.2 kg. Arthroscopic evaluation yielded 235 immobile and 172 mobile lesions. Multivariable analysis determined that the best model to predict lesion mobility included chronologic age ≥14 years ( P < .001), effusion on physical examination ( P < .001), and any loss of range of motion on physical examination ( P = .07), while controlling for male sex ( P = .38) and weight >54.4 kg ( P = .12). In the 25% holdout validation sample (n = 102), a sensitivity of 83%, a specificity of 82%, and an AUC of 0.89 (95% CI, 0.82-0.95) were achieved with these predictive factors. Conclusion: Age, effusion, and loss of motion can predict knee OCD lesion mobility at the time of arthroscopy. Education about lesion mobility can help with surgical planning and patient and family counseling.

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: As machine learning becomes increasingly utilized in orthopaedic clinical research, the application of machine learning methodology to cohort data from the Multicenter ACL Revision Study (MARS) presents a valuable opportunity to translate data into patient-specific insights. Purpose: To apply novel machine learning methodology to MARS cohort data to determine a predictive model of revision anterior cruciate ligament reconstruction (rACLR) graft failure and features most predictive of failure. Study Design: Cohort study; Level of evidence, 3. Methods: The authors prospectively recruited patients undergoing rACLR from the MARS cohort and obtained preoperative radiographs, surgeon-reported intraoperative findings, and 2- and 6-year follow-up data on patient-reported outcomes, additional surgeries, and graft failure. Machine learning models including logistic regression (LR), XGBoost, gradient boosting (GB), random forest (RF), and a validated ensemble algorithm (AutoPrognosis) were built to predict graft failure by 6 years postoperatively. Validated performance metrics and feature importance measures were used to evaluate model performance. Results: The cohort included 960 patients who completed 6-year follow-up, with 5.7% (n = 55) experiencing graft failure. AutoPrognosis demonstrated the highest discriminative power (model area under the receiver operating characteristic curve: AutoPrognosis, 0.703; RF, 0.618; GB, 0.660; XGBoost, 0.680; LR, 0.592), with well-calibrated scores (model Brier score: AutoPrognosis, 0.053; RF, 0.054; GB, 0.057; XGBoost, 0.058; LR, 0.111). The most important features for AutoPrognosis model performance were prior compromised femoral and tibial tunnels (placement and size) and allograft graft type used in current rACLR. Conclusion: The present study demonstrated the ability of the novel AutoPrognosis machine learning model to best predict the risk of graft failure in patients undergoing rACLR at 6 years postoperatively with moderate predictive ability. Femoral and tibial tunnel size and position in prior ACLR and allograft use in current rACLR were all risk factors for rACLR failure in the context of the AutoPrognosis model. This study describes a unique model that can be externally validated with larger data sets and contribute toward the creation of a robust rACLR bedside risk calculator in future studies. Registration: NCT00625885 (ClinicalTrials.gov identifier).

Introduction: Hypertrophic cardiomyopathy (HCM) is the most common cardiomyopathy. People with HCM are at risk of cardiac arrest. ACC/AHA guideline-supported indications for ICD placement include cardiac arrest or VT, family history of sudden cardiac death in a close relative ≤50, massive septal hypertrophy (MSH - septal thickness ≥30mm), apical pouch, and non-sustained ventricular tachycardia (NSVT). Methods: People attending any Mayo Clinic site on > 1 occasion who underwent ICD placement for HCM who had documented cardiac magnetic resonance (CMR) results were included in the study from time of ICD placement to last device interrogation. Outcome was incidence rate of first appropriate shock. Multivariable cox regression was used to examine the association between septal thickness and shock rate, controlling for current age, sex and secondary vs primary prevention device. An interaction term for association between septal thickness and each ICD indication in turn was incorporated into regression, and stratum specific estimates produced using linear computation. Results: 326 people were included in the study, of whom 50 experienced at least one appropriate ICD shock over 1,487.95 person years (incidence rate 3.36 per 100 person years, NNT 29.76 per year). MSH was strongly associated with shock rate (HR 2.29 [1.19 to 4.40], p=0.013). In people without MSH, there was a 50% reduction in shocks where a subjective measure (syncope or family history of sudden cardiac death) was present (table 1). In this cohort, NSVT resulted in a threefold increase in incidence of shock (HR 3.15 [1.446 to 6.47], p=0.003). In the presence of MSH, there was a four-fold increase in shock rate in people who underwent ICD insertion for family history of sudden cardiac death or for syncope (table 2). There was no difference in shock rates in people with NSVT prior to ICD placement based on septal thickness (HR 0.76 [0.21 to 2.74], p=0.679). There was strong evidence of interaction between NSVT and MSH on shock rates (LR χ2 =6.94, p=0.008), such that presence of both risk factors did not increase shock rate. Concurrent presence of late gadolinium enhancement (LGE) >15% on CMR and MSH was associated with a significant increase in shock rate (3.58 [1.43 to 8.98], p=0.006). Conclusion: MSH is a helpful indicator of who will benefit from ICD placement among people with a pre-existing indication for a device, particularly among those with a more subjective indication for a device.

Background: Revision anterior cruciate ligament (ACL) reconstruction has been documented to have inferior outcomes compared with primary ACL reconstruction. The reasons why remain unknown. Purpose: To determine whether surgical factors performed at the time of revision ACL reconstruction can influence a patient’s outcome at 6-year follow-up. Study Design: Cohort study; Level of evidence, 2. Methods: Patients who underwent revision ACL reconstruction were identified and prospectively enrolled between 2006 and 2011. Data collected included baseline patient characteristics, surgical technique and pathology, and a series of validated patient-reported outcome instruments: Knee injury and Osteoarthritis Outcome Score (KOOS), International Knee Documentation Committee (IKDC) subjective form, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and Marx activity rating score. Patients were followed up for 6 years and asked to complete the identical set of outcome instruments. Regression analysis was used to control for baseline patient characteristics and surgical variables to assess the surgical risk factors for clinical outcomes 6 years after surgery. Results: A total of 1234 patients were enrolled (716 men, 58%; median age, 26 years), and 6-year follow-up was obtained on 79% of patients (980/1234). Using an interference screw for femoral fixation compared with a cross-pin resulted in significantly better outcomes in 6-year IKDC scores (odds ratio [OR], 2.2; 95% CI, 1.2-3.9; P = .008) and KOOS sports/recreation and quality of life subscale scores (OR range, 2.2-2.7; 95% CI, 1.2-4.8; P < .01). Use of an interference screw compared with a cross-pin resulted in a 2.6 times less likely chance of having a subsequent surgery within 6 years. Use of an interference screw for tibial fixation compared with any combination of tibial fixation techniques resulted in significantly improved scores for IKDC (OR, 1.96; 95% CI, 1.3-2.9; P = .001); KOOS pain, activities of daily living, and sports/recreation subscales (OR range, 1.5-1.6; 95% CI, 1.0-2.4; P < .05); and WOMAC pain and activities of daily living subscales (OR range, 1.5-1.8; 95% CI, 1.0-2.7; P < .05). Use of a transtibial surgical approach compared with an anteromedial portal approach resulted in significantly improved KOOS pain and quality of life subscale scores at 6 years (OR, 1.5; 95% CI, 1.02-2.2; P≤ .04). Conclusion: There are surgical variables at the time of ACL revision that can modify clinical outcomes at 6 years. Opting for a transtibial surgical approach and choosing an interference screw for femoral and tibial fixation improved patients’ odds of having a significantly better 6-year clinical outcome in this cohort.

Abstract Background Congenital Heart Disease (CHD) is associated with development of atrial fibrillation (AF) at an early age. With increased survival of this cohort into adulthood, the prevalence of concurrent CHD and AF is expected to increase over the next several decades. Little is known about the utility of clinical risk factors or prediction models in determining bleeding or stroke rates in adults with CHD and AF. Purpose This study aims to measure the performance of the CHADSVASC and HASBLED scores in a cohort of people with CHD. The association between traditional stroke and bleeding risk factors, as well as CHD-specific factors, will be quantified. Methods Patients age 18 or older attending one of three centers in the USA were included in this study if they had a history of AF on ECG, holter monitor or device interrogation, in addition to a diagnosis of Tetralogy of Fallot (TOF), Double Outlet Right Ventricle (DORV), or Pulmonary Atresia with Intact Ventricular Septum (PA-IVS). Outcomes were major bleeding event, and stroke rate. Analysis was conducted using cox univariable regression controlling for current age. Receiver operator curve and c-statistics were produced for the CHADSVASC and HASBLED scores respectively. Results 326 people were included in this study, of whom 161 (49.5%) had TOF secondary to Pulmonic Stenosis, 126 (38.8%) had TOF secondary to Pulmonary Atresia, 25 (7.7%) had DORV, and 155 (47.7%) had PA-IVS. 227 people used warfarin (79.4%), 28 (9.8%) used apixaban, 9 (3.1%) used Rivaroxaban, 3 (1%) used Edoxaban, and 5 (1.7%) used Enoxaparin for a period of at least 30 days during the study. 13 (4.5%) people didn’t receive anticoagulation during the study. 26 people had a stroke (8.8%) while 85 people (28.6%) had a major bleeding event. Only the CHADSVASC score was significantly associated with stroke rates (HR 2.103, 95% CI 1.555 to 2.844, p&lt;0.001). Clinical variables, such as subtype of CHD, prior conduit placement or unifocalization were not associated with stroke or major bleeding events. C-statistic for the CHADSVASC score in predicting stroke events was 0.755 (Figure 1). C-statistic for the HASBLED score in predicting major bleeding was 0.442 (Figure 2). Conclusions Among people with CHD and AF, the CHADSVASC score can robustly predict stroke events. Other clinical variables are less valuable in predicting either bleeding or strokes. The HASBLED score likely doesn’t have a role in predicting major bleeding episodes in this cohort.

Abstract Background Movement clinical neurophysiology studies can distinguish myoclonus, tremor, and other jerky movements; however, there has been limited demonstration of their real‐world clinical impact. Objective The aim was to investigate movement study utility in clarifying movement classification and guiding patient management. Method A retrospective study of myoclonus‐related movement studies was performed. Results Of 262 patients referred for consideration of myoclonus, 105 (40%) had myoclonus, 156 (59%) had no myoclonus (the commonest alternative classifications were functional jerks and tremor), and 1 was uncertain. An additional 29 studies identified myoclonus without prior clinical suspicion. A total of 119 of 134 (89%) myoclonus patients had a specific neurophysiologic subtype identified, most commonly cortical (64, 54%). Diagnostic differential narrowed in 60% of patients, and a new diagnosis was made in 42 (14%) patients. Medication changes were made in 151 patients (52%), with improvement in 35 of 51 (67%) with follow‐up. Conclusions Movement studies effectively determined movement classification and identified unsuspected myoclonus, leading to changes in diagnosis and management. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Abstract Single-cell technologies enable researchers to investigate cell functions at an individual cell level and study cellular processes with higher resolution. Several multi-omics single-cell sequencing techniques have been developed to explore various aspects of cellular behavior. Using NEAT-seq as an example, this method simultaneously obtains three kinds of omics data for each cell: gene expression, chromatin accessibility, and protein expression of transcription factors (TFs). Consequently, NEAT-seq offers a more comprehensive understanding of cellular activities in multiple modalities. However, there is a lack of tools available for effectively integrating the three types of omics data. To address this gap, we propose a novel pipeline called MultiSC for the analysis of MULTIomic Single-Cell data. Our pipeline leverages a multimodal constraint autoencoder (single-cell hierarchical constraint autoencoder) to integrate the multi-omics data during the clustering process and a matrix factorization–based model (scMF) to predict target genes regulated by a TF. Moreover, we utilize multivariate linear regression models to predict gene regulatory networks from the multi-omics data. Additional functionalities, including differential expression, mediation analysis, and causal inference, are also incorporated into the MultiSC pipeline. Extensive experiments were conducted to evaluate the performance of MultiSC. The results demonstrate that our pipeline enables researchers to gain a comprehensive view of cell activities and gene regulatory networks by fully leveraging the potential of multiomics single-cell data. By employing MultiSC, researchers can effectively integrate and analyze diverse omics data types, enhancing their understanding of cellular processes.