Citations

ABSTRACTDiffuse large B‐cell lymphoma (DLBCL) patients that fail to achieve a complete metabolic response with frontline immunochemotherapy have a poor prognosis. Genomic profiling has led to a broader understanding of the molecular drivers in DLBCL, but it is unknown how well current classifiers identify patients that will experience primary treatment resistance (PTR). Using whole exome and RNA sequencing data from newly diagnosed DLBCL patients, we evaluated the genomic landscape of PTR and compared it to that of non‐PTR DLBCL. We found a significant increase in the frequency of TP53 (34% vs. 15%, p = 0.005) and ARID1A mutations (21% vs. 7%, p = 0.007) in PTR cases, with pathway analysis further demonstrating a downregulation of TP53 and an increase in chromatin modifying pathways. These results suggest that TP53 and ARID1A may be key mediators of PTR and important pathways contributing to the poor outcomes. We found that the current molecular classifiers were unable to identify PTR cases at diagnosis. However, our newly identified high‐risk signature identified 46% of PTR cases at diagnosis. Overall, these results contribute to our understanding of the genomic landscape of patients with primary treatment resistance.

Abstract Rationale Idiopathic pulmonary fibrosis (IPF) is a complex and heterogeneous disease. Given this, we reasoned that differences in genetic profiles may be associated with unique clinical and radiologic features. Computational image analysis, sometimes referred to as radiomics, provides objective, quantitative assessments of radiologic features in subjects with pulmonary fibrosis. Objectives To determine if the genetic risk profile of patients with IPF identifies unique computational imaging phenotypes. Methods Participants with IPF were included in this study if they had genotype data and computed tomography (CT) scans of the chest available for computational image analysis. The extent of lung fibrosis and the likelihood of a usual interstitial pneumonia (UIP) pattern were scored automatically using two separate, previously validated deep learning techniques for CT analysis. UIP pattern was also classified visually by radiologists according to established criteria. Results Among 329 participants with IPF, MUC5B and ZKSCAN1 were independently associated with the deep learning–based UIP score. None of the common variants were associated with fibrosis extent by computational imaging. We did not find an association between MUC5B or ZKSCAN1 and visually assessed UIP pattern. Conclusions Select genetic variants are associated with computer-based classification of UIP on CT in this IPF cohort. Analysis of radiologic features using deep learning may enhance our ability to identify important genotype–phenotype associations in fibrotic lung diseases.

Abstract Rationale Among tobacco-exposed persons with preserved spirometry (TEPSs), we previously demonstrated that different lung volume indices—specifically, elevated total lung capacity (TLC) versus elevated ratio of functional residual capacity to TLC (FRC/TLC)—identify different lung disease characteristics in the COPDGene cohort. Objective We sought to determine differential disease characteristics and trajectories associated with lung volume indices among TEPSs in the SPIROMICS cohort. Methods We categorized TEPSs (n = 814) by tertiles (low, intermediate, and high) of TLC or residual volume–to-TLC ratio (RV/TLC) derived from baseline computed tomography images and then examined clinical and spirometric disease trajectories in mutually exclusive categories of participants with high TLC without high RV/TLC ([TLC]high) versus high RV/TLC without high TLC ([RV/TLC]high). We examined differences in computed tomography–measured emphysema (Hounsfield units [HU] ⩽−950; parametric response mapping [PRM] of emphysema), air trapping (HU⩽−856; PRM of functional small airway disease; a disease probability measure for non-emphysematous gas trapping), airway geometry (the mean square root of wall area of a hypothetical airway with 10 mm internal perimeter), respiratory symptoms (on the modified Medical Research Council Dyspnea Scale; COPD Assessment Test [CAT]; St. George’s Respiratory Questionnaire [SGRQ]; and Short Form-12 [SF12]), and outcomes (annualized exacerbation rate) between the two categories at baseline and over follow-up time up to 8.5 years, using regression modeling adjusted for age, sex, height, weight, and smoking status (current vs. former smoker) and burden (pack-years). Results In TEPSs, the pattern of spirometric disease progression differed between participants with [TLC]high and those with [RV/TLC]high: There was increased forced vital capacity with stable forced expiratory volume in 1 second in participants with [TLC]high, versus unchanged forced vital capacity but nominally decreased forced expiratory volume in 1 second in those with [RV/TLC]high. Compared with participants with [TLC]high, TEPSs with [RV/TLC]high had less emphysema (by HU ⩽−950) but more airway disease (by HU ⩽−856; PRM of functional small airway disease; disease probability measure for gas trapping, and mean square root of wall area of a hypothetical airway with 10 mm internal perimeter), more respiratory symptoms (on the modified Medical Research Council Dyspnea Scale, CAT, SGRQ, and SF12), and more severe exacerbations at baseline. Over an average follow-up of 4.1 ± 2.4 years (range = 0.5–8.5 yr), TEPSs with [RV/TLC]high also had a higher likelihood of developing more severe spirometric disease (preserved ratio impaired spirometry or Global Initiative for Chronic Obstructive Lung Disease Classification 2) and worsening of their respiratory symptoms (on the CAT and SGRQ). Although the incidence rates of respiratory exacerbations, hospitalizations, and mortality were not significantly different between the two categories over the follow-up period, TEPSs with [RV/TLC]high were more likely to have been prescribed a respiratory inhaler at their last follow-up visit. Conclusions In these TEPSs from the SPIROMICS cohort, lung volume stratification by TLC versus RV/TLC identifies two pre-COPD phenotypes with distinct respiratory symptoms, radiographic features, and clinical trajectories. The characteristics of these pre-COPD phenotypes match those previously described in the COPDGene cohort using TLC versus FRC/TLC stratification.

ABSTRACTBackgroundPediatric organ transplantation is the primary treatment for end‐organ failure. Improving medication adherence and healthcare compliance can decrease healthcare burdens, graft rejection, morbidity, and mortality. Adolescents commonly struggle with non‐adherence, necessitating a smooth transition to adult care. This systematic review aims to assess and evaluate the effectiveness of existing transition tools and models used in the care of pediatric solid organ transplant recipients (pSOTR).MethodsA systematic literature review of studies in electronic databases (PubMed, Google Scholar, and Mendeley) on interventions improving transition in pediatric solid organ transplant recipients (pSOTR) from 2000 to 2022 was conducted. Included studies involved pSOTR before the age of 12 years transitioning to adult care.ResultsA lower proportion of graft acute rejection was observed among pSOTR with more than two transition interventions (10.088%, 95% CI: 0.901%–27.441%, I2 = 85.95%, p < 0.0001, random effects, five studies, n = 155) compared to those with two or fewer interventions (13.892%, 95% CI: 4.588%–27.142%, I2 = 74.73%, p = 0.0014, random effects, six studies, n = 140). Additionally, a significant association was found between transition protocols and lower rejection rates (χ2 = 10.57, p = 0.0011), with multiple protocols showing better outcomes (χ2 = 5.091, p = 0.024). Although adherence scores differed significantly with and without transition protocols (χ2 = 8.75, p = 0.0126), no significant difference was found between single and multiple protocol groups (χ2 = 4.8, p = 0.091).ConclusionThis review identifies various transition models and their impact on adherence and graft rejection, which correlate with morbidity and mortality and influence transplant outcomes. The heterogeneity of data within the current literature necessitates further research to establish causality and develop a standardized transition program aimed at improving patient outcomes.

Study Design. Literature review and institutional analysis. Objective. This review examines the potential advantages of awake spinal surgery under neuroaxial anesthesia in minimizing positioning-related complications compared with traditional general anesthesia. Summary of Background Data. Spinal surgeries performed in the prone position under general anesthesia are associated with perioperative complications, such as ocular injury and vision loss, nerve damage, and pressure ulcers. Materials and Methods. A comprehensive literature search was conducted for articles published from 1986 to 2023 focusing on awake spinal surgery and positioning-related complications. In addition, insights from the Mayo Clinic team were incorporated to assess the potential benefits of awake spine surgery. Results. The review identified several positioning-related complications associated with prone positioning during spine surgery, including perioperative visual loss, neuropathies, pressure ulcers, and intra-abdominal hypertension leading to systemic cardiovascular effects and potential organ dysfunction. Advances at the Mayo Clinic have enabled the use of awake spinal surgery under neuroaxial anesthesia for complex procedures such as robotic transforaminal lumbar interbody fusion. The use of awake lumbar spine surgery has demonstrated advantages, including reduced positioning-related complications, immediate patient feedback to avoid harmful maneuvers, shorter operating room times, and improved hemodynamic stability. Conclusions. Awake lumbar spine surgery offers notable advantages in reducing positioning-related complications and presents a promising alternative to general anesthesia.

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).

Background and Objective: Decline of cardiovascular (CV) function is commonly observed in patients with severe acute pancreatitis (AP), which is associated with high mortality and morbidity. While the pathological changes in the pancreas during severe AP have been extensively studied, the impact on the CV system has not been well characterized. Furthermore, obesity is a major risk factor for severe AP. Hereby we utilized an obesity-associated mouse AP model to assess potential alterations in vascular integrity and cardiac function, two major components of circulatory failure. Methods: Wild-type male C57BL6J mice were fed a normal or a high fat (to induce obesity) diet. Both groups received intraperitoneal injection of cerulein (100 mg/kg/h x12) to induce AP. H&E and TUNEL staining of pancreas were performed to assess histology and cell death. To measure vascular integrity, we measured the leakiness of a fluorescein-conjugated dextran (70 kDa) in tissue parenchyma and serum levels of soluble vascular endothelial (VE)-cadherin, which has recently shown to be shed from endothelial cells with disrupted adherens junctions. Cardiac systolic and diastolic function were assessed by echocardiography at baseline and post-AP induction. Results: Compared to lean mice, obese mice developed more severe pancreatic edema, cell death and inflammatory cell infiltration, along with significantly increased accumulation of fluorescent dextran in multiple organs including pancreas, heart, lung, and kidney, suggesting systemic disruption of vascular integrity. Increased serum levels of soluble VE-cadherin in obese mice (vs. lean) after AP induction further supported compromised endothelial cell barrier function. At baseline, obese mice exhibited similar cardiac function to lean mice. However, obese mice, but not lean mice, developed impaired systolic and diastolic function post-AP induction, as supported by decreased ejection fraction and e’ velocity respectively. Conclusion: In this obesity-associated severe AP mouse model, systemic vascular permeability is increased, and cardiac function is substantially compromised. Systemic vascular hyperpermeability and cardiac dysfunction may represent therapeutic targets to enhance the outcomes in severe AP.

Background: Recurrent pericarditis results from inflammasome activation and is associated with significant morbidity. Cannabidiol has been shown to block numerous inflammasome signaling pathways, including reducing transcription of pro-IL-1β and NLRP3, and inhibiting secretion of IL-1β and IL-6. Aim: To assess the impact of oral pharmaceutically manufactured (P-)cannabidiol in recurrent pericarditis patients (pts). Methods: Adult pts (≥18 years) with symptomatic, recurrent pericarditis (≥2 recurrences) were eligible for this open-label, multicenter study. Eligible pts had pericarditis chest pain with a numerical rating scale (NRS) pain score ≥4 within 7 days prior to enrollment, together with either elevated (≥1.0 mg/dL) C-reactive protein (CRP) within the prior 7 days or prior pericardial late gadolinium enhancement (LGE) on cardiac imaging. Pts had to be on chronic treatment with NSAIDs, colchicine or corticosteroids (any combination) with stable baseline (BL) doses. Oral P-cannabidiol was uptitrated to 10 mg/kg twice daily (BID), or maximum tolerated dose. The primary efficacy endpoint was improvement in NRS pain score at week 8 (WK8). A secondary efficacy endpoint among pts with elevated BL CRP was the percentage of pts with CRP normalization (≤0.5 mg/dL) at WK8. Results: 27 pts, mean age of 53 years (range 24-77), 18 of female sex, with a median of 3 prior pericarditis episodes were enrolled. CRP was ≥1.0 mg/dL in 10 pts (37%) at BL. Prior evidence of LGE was present in 21 pts (78%). At BL, 41% of pts were receiving corticosteroid therapy. The highest tolerated study medication dose was BID 10 mg/kg in 20 pts (74.1%), 7.5 mg/kg in 4 pts (14.8%), and 5 mg/kg in 3 pts (11.1%). All 27 pts (100%) completed the WK8 visit. Mean NRS score decreased by 3.7, from 5.8 at BL to 2.1 at WK8. In those with CRP elevation at BL, CRP normalized in 8 pts (80%) by WK8, with mean CRP decreasing from 5.71 to 0.31 mg/dL. Study medication was discontinued due to AEs in 2 pts (7.4%). 24 pts (89%) tolerated P-cannabidiol with a treatment response and proceeded into the 18-week extension period (EP) where background therapy is weaned. Conclusions: Among pts with symptomatic pericarditis recurrence, oral administration of P-cannabidiol led to a clinically relevant reduction in pericarditis chest pain (measured by NRS score) and in CRP. P-cannabidiol was shown to be safe and generally well tolerated, with the majority of pts reaching the target dose and continuing into the study EP.

Abstract Aspiration-related syndromes comprise a broad spectrum of diseases affecting the airways and lung parenchyma resulting from inadvertent entry of oropharyngeal or gastric contents into the respiratory tract. The diagnosis can be challenging given lack of self-reported symptoms and unwitnessed or silent aspiration events. Aspiration is a common finding in healthy individuals suggesting that host defenses play a critical role in the pathophysiology. In the absence of strict criterion, a high index of suspicion is necessary based on recognition of established risk factors and identification of characteristic imaging findings. Conditions predisposing to altered levels of consciousness and neuromuscular weakness can lead to dysphagia, impaired cough reflux, and subsequent aspiration. The most salient feature on imaging is the anatomic location of the abnormalities, with the superior segments of the lower lobes and posterior segments of upper lobes involved in the recumbent position, and basilar segments of lower lobes in the upright position. Acute syndromes include pneumonia, pneumonitis, and foreign body aspiration. In the more indolent form of aspiration, bronchiectasis, diffuse bronchiolitis, and interstitial lung disease can develop. A detailed understanding of associated radiographic findings for these syndromes can help to implicate aspiration as the cause for imaging abnormalities and ultimately optimize patient management.