Importance of Prospective Registries and Clinical Research Networks in the Evolution of Spinal Cord Injury Care

Only 100 years ago, traumatic spinal cord injury (SCI) was commonly lethal. Today, most people who sustain SCI survive with continual efforts to improve their quality of life and neurological outcomes. SCI epidemiology is changing as preventative interventions reduce injuries in younger individuals, and there is an increased incidence of incomplete injuries in aging populations. Early treatment has become more intensive with decompressive surgery and proactive interventions to improve spinal cord perfusion. Accurate data, including specialized outcome measures, are crucial to understanding the impact of epidemiological and treatment trends. Dedicated SCI clinical research and data networks and registries have been established in the United States, Canada, Europe, and several other countries. We review four registry networks: the North American Clinical Trials Network (NACTN) SCI Registry, the National Spinal Cord Injury Model Systems (SCIMS) Database, the Rick Hansen SCI Registry (RHSCIR), and the European Multi-Center Study about Spinal Cord Injury (EMSCI). We compare the registries' focuses, data platforms, advanced analytics use, and impacts. We also describe how registries' data can be combined with electronic health records (EHRs) or shared using federated analysis to protect registrants' identities. These registries have identified changes in epidemiology, recovery patterns, complication incidence, and the impact of practice changes such as early decompression. They've also revealed latent disease-modifying factors, helped develop clinical trial stratification models, and served as matched control groups in clinical trials. Advancing SCI clinical science for personalized medicine requires advanced analytical techniques, including machine learning, counterfactual analysis, and the creation of digital twins. Registries and other data sources help drive innovation in SCI clinical science.

A Call for Formalized Training of Surgical Educators

Current training curricula for future surgeons do not prioritize teaching residents how to teach. With increased expectations but decreased opportunities to operate, developing efficient and effective educators is a pressing necessity. In this article, we discuss the need to formalize the role of the surgical educator, and future directions to implement better training paradigms for surgical educators.

Allostatic load and incident heart failure in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study

BACKGROUND

Allostatic load (AL) is the physiologic "wear and tear" on the body from stress. Yet, despite stress being implicated in the development heart failure (HF), it is unknown whether AL is associated with incident HF events.

METHODS

We examined 16,765 participants without HF at baseline from the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort. The main exposure was AL score quartile. AL was determined according to 11 physiologic parameters, whereby each parameter was assigned points (0-3) based on quartiles within the sample, and points were summed to create a total AL score ranging from 0-33. The outcome was incident HF event. We examined the association between AL quartile (Q1-Q4) and incident HF events using Cox proportional hazards models, adjusted for demographics, socioeconomic factors, and lifestyle.

RESULTS

The mean age was 64 ± 9.6 years, 61.5% were women, and 38.7% were Black participants. Over a median follow up of 11.4 years, we observed 750 incident HF events (635 HF hospitalizations and 115 HF deaths). Compared to the lowest AL quartile (Q1), the fully adjusted hazards of an incident HF event increased in a graded fashion: Q2 HR 1.49 95% CI 1.12-1.98; Q3 HR 2.47 95% CI 1.89-3.23; Q4 HR 4.28 95% CI 3.28-5.59. The HRs for incident HF event in the fully adjusted model that also adjusted for CAD were attenuated, but remained significant and increased in a similar, graded fashion by AL quartile. There was a significant age interaction (p-for-interaction < 0.001), whereby the associations were observed across each age stratum, but the HRs were highest among those aged < 65 years.

CONCLUSION

AL was associated with incident HF events, suggesting that AL could be an important risk factor and potential target for future interventions to prevent HF.

Do comorbid self-reported depression and anxiety influence outcomes following surgery for cervical spondylotic myelopathy?

OBJECTIVE

Depression and anxiety are associated with inferior outcomes following spine surgery. In this study, the authors examined whether patients with cervical spondylotic myelopathy (CSM) who have both self-reported depression (SRD) and self-reported anxiety (SRA) have worse postoperative patient-reported outcomes (PROs) compared with patients who have only one or none of these comorbidities.

METHODS

This study is a retrospective analysis of prospectively collected data from the Quality Outcomes Database CSM cohort. Comparisons were made among patients who reported the following: 1) either SRD or SRA, 2) both SRD and SRA, or 3) neither comorbidity at baseline. PROs at 3, 12, and 24 months (scores for the visual analog scale [VAS] for neck pain and arm pain, Neck Disability Index [NDI], modified Japanese Orthopaedic Association [mJOA] scale, EQ-5D, EuroQol VAS [EQ-VAS], and North American Spine Society [NASS] patient satisfaction index) and achievement of respective PRO minimal clinically important differences (MCIDs) were compared.

RESULTS

Of the 1141 included patients, 199 (17.4%) had either SRD or SRA alone, 132 (11.6%) had both SRD and SRA, and 810 (71.0%) had neither. Preoperatively, patients with either SRD or SRA alone had worse scores for VAS neck pain (5.6 ± 3.1 vs 5.1 ± 3.3, p = 0.03), NDI (41.0 ± 19.3 vs 36.8 ± 20.8, p = 0.007), EQ-VAS (57.0 ± 21.0 vs 60.7 ± 21.7, p = 0.03), and EQ-5D (0.53 ± 0.23 vs 0.58 ± 0.21, p = 0.008) than patients without such disorders. Postoperatively, in multivariable adjusted analyses, baseline SRD or SRA alone was associated with inferior improvement in the VAS neck pain score and a lower rate of achieving the MCID for VAS neck pain score at 3 and 12 months, but not at 24 months. At 24 months, patients with SRD or SRA alone experienced less change in EQ-5D scores and were less likely to meet the MCID for EQ-5D than patients without SRD or SRA. Furthermore, patient self-reporting of both psychological comorbidities did not impact PROs at all measured time points compared with self-reporting of only one psychological comorbidity alone. Each cohort (SRD or SRA alone, both SRD and SRA, and neither SRD nor SRA) experienced significant improvements in mean PROs at all measured time points compared with baseline (p < 0.05).

CONCLUSIONS

Approximately 12% of patients who underwent surgery for CSM presented with both SRD and SRA, and 29% presented with at least one symptom. The presence of either SRD or SRA was independently associated with inferior scores for 3- and 12-month neck pain following surgery, but this difference was not significant at 24 months. However, at long-term follow-up, patients with SRD or SRA experienced lower quality of life than patients without SRD or SRA. The comorbid presence of both depression and anxiety was not associated with worse patient outcomes than either diagnosis alone.

Potential Applications of Artificial Intelligence and Machine Learning in Spine Surgery Across the Continuum of Care

The worlds of spinal surgery and computational science are intersecting at the nexus of the operating room and across the continuum of patient care. As medicine moves toward digitizing all aspects of a patient's care, immense amounts of patient data generated and aggregated across surgeons, procedures, and institutions will enable previously inaccessible computationally driven insights. These early insights from artificial intelligence (AI) and machine learning (ML)-enabled technologies are beginning to transform medicine and surgery. The complex pathologies facing spine surgeons and their patients require integrative, multimodal, data-driven management strategies. As these data and the technological tools to computationally process them become increasingly available to spine surgeons, AI and ML methods will inform patient selection, preoperatively risk-stratify patients based on myriad factors, and inform interoperative surgical decisions. Once these tools enter early clinical practice, their use creates a virtual flywheel whereby the use of these tools generates additional data that further accelerate the evolution of computational "knowledge" systems. At this digital crossroads, interested and motivated surgeons have an opportunity to understand these technologies, guide their application toward optimal care, and advocate for opportunities where these powerful new tools can deliver step changes in efficiency, accuracy, and intelligence. In the present article, we review the nomenclature and basics of AI and ML and highlight the current and future applications of these technologies across the care continuum of spinal surgery.

First Observation of the β3αp Decay of ^{13}O via β-Delayed Charged-Particle Spectroscopy

The β-delayed proton decay of ^{13}O has previously been studied, but the direct observation of β-delayed 3αp decay has not been reported. Rare 3αp events from the decay of excited states in ^{13}N^{⋆} provide a sensitive probe of cluster configurations in ^{13}N. To measure the low-energy products following β-delayed 3αp decay, the Texas Active Target (TexAT) time projection chamber was employed using the one-at-a-time β-delayed charged-particle spectroscopy technique at the Cyclotron Institute, Texas A&M University. A total of 1.9×10^{5} ^{13}O implantations were made inside the TexAT time projection chamber. A total of 149 3αp events were observed, yielding a β-delayed 3αp branching ratio of 0.078(6)%. Four previously unknown α-decaying excited states were observed in ^{13}N at 11.3, 12.4, 13.1, and 13.7 MeV decaying via the 3α+p channel.

Which supervised machine learning algorithm can best predict achievement of minimum clinically important difference in neck pain after surgery in patients with cervical myelopathy? A QOD study

OBJECTIVE

The purpose of this study was to evaluate the performance of different supervised machine learning algorithms to predict achievement of minimum clinically important difference (MCID) in neck pain after surgery in patients with cervical spondylotic myelopathy (CSM).

METHODS

This was a retrospective analysis of the prospective Quality Outcomes Database CSM cohort. The data set was divided into an 80% training and a 20% test set. Various supervised learning algorithms (including logistic regression, support vector machine, decision tree, random forest, extra trees, gaussian naïve Bayes, k-nearest neighbors, multilayer perceptron, and extreme gradient boosted trees) were evaluated on their performance to predict achievement of MCID in neck pain at 3 and 24 months after surgery, given a set of predicting baseline features. Model performance was assessed with accuracy, F1 score, area under the receiver operating characteristic curve, precision, recall/sensitivity, and specificity.

RESULTS

In total, 535 patients (46.9%) achieved MCID for neck pain at 3 months and 569 patients (49.9%) achieved it at 24 months. In each follow-up cohort, 501 patients (93.6%) were satisfied at 3 months after surgery and 569 patients (100%) were satisfied at 24 months after surgery. Of the supervised machine learning algorithms tested, logistic regression demonstrated the best accuracy (3 months: 0.76 ± 0.031, 24 months: 0.773 ± 0.044), followed by F1 score (3 months: 0.759 ± 0.019, 24 months: 0.777 ± 0.039) and area under the receiver operating characteristic curve (3 months: 0.762 ± 0.027, 24 months: 0.773 ± 0.043) at predicting achievement of MCID for neck pain at both follow-up time points, with fair performance. The best precision was also demonstrated by logistic regression at 3 (0.724 ± 0.058) and 24 (0.780 ± 0.097) months. The best recall/sensitivity was demonstrated by multilayer perceptron at 3 months (0.841 ± 0.094) and by extra trees at 24 months (0.817 ± 0.115). Highest specificity was shown by support vector machine at 3 months (0.952 ± 0.013) and by logistic regression at 24 months (0.747 ± 0.18).

CONCLUSIONS

Appropriate selection of models for studies should be based on the strengths of each model and the aims of the studies. For maximally predicting true achievement of MCID in neck pain, of all the predictions in this balanced data set the appropriate metric for the authors' study was precision. For both short- and long-term follow-ups, logistic regression demonstrated the highest precision of all models tested. Logistic regression performed consistently the best of all models tested and remains a powerful model for clinical classification tasks.

Update on Pediatric Mild Traumatic Brain Injury in Rural and Underserved Regions: A Global Perspective

BACKGROUND

Mild traumatic brain injury (MTBI) causes morbidity and disability worldwide. Pediatric patients are uniquely vulnerable due to developmental and psychosocial factors. Reduced healthcare access in rural/underserved communities impair management and outcome. A knowledge update relevant to current gaps in care is critically needed to develop targeted solutions.

METHODS

The National Library of Medicine PubMed database was queried using comprehensive search terms (("mild traumatic brain injury" or "concussion") and ("rural" or "low-income" or "underserved") and ("pediatric" or "child/children")) in the title, abstract, and Medical Subject Headings through December 2022. Fifteen articles on rural/underserved pediatric MTBI/concussion not covered in prior reviews were examined and organized into four topical categories: epidemiology, care practices, socioeconomic factors, and telehealth.

RESULTS

Incidences are higher for Individuals in rural regions, minorities, and those aged 0-4 years compared to their counterparts, and are increasing over time. Rural healthcare utilization rates generally exceed urban rates, and favor emergency departments (vs. primary care) for initial injury assessment. Management guidelines require customization to resource-constrained settings for implementation and adoption. Decreased community recognition of the seriousness of injury is a consensus challenge to care provision by clinicians. Low parental education and income were correlated with decreased MTBI knowledge and worse outcome. Telehealth protocols for triage/consultation and rehabilitation were feasible in improving care delivery to rural and remote settings.

CONCLUSIONS

Pediatric MTBI/concussion patients in rural/underserved regions experience increased risks of injury, geographic and financial healthcare barriers, and poorer outcomes. Globally, under-reporting of injury has hindered epidemiological understanding. Ongoing MTBI education should be implemented for rural caregivers, schools, and low-income populations to improve community awareness. Telehealth can improve care delivery across acuity settings, and warrants judicious inclusion in triage and treatment protocols.

Does surgery for metastatic spinal tumors improve functional outcomes in patients without spinal cord compression but with potentially unstable spines?

OBJECTIVE

In the absence of spinal cord compression, it is unclear if surgery is more effective than radiation treatment for improving functional outcomes in metastatic spinal tumor patients with potentially unstable spines. The authors compared functional status outcomes assessed with Karnofsky Performance Status (KPS) and Eastern Cooperative Oncology Group (ECOG) scores after surgery or radiation in patients without spinal cord compression with Spine Instability Neoplastic Score (SINS) values of 7-12 indicating possible instability (SINS 7-12).

METHODS

A retrospective review was performed of patients with metastatic spinal tumor SINS values of 7-12 at a single institution between 2004 and 2014. Patients were divided into two different groups: 1) those treated with surgery and 2) those treated with radiation. Baseline clinical characteristics were measured, and KPS and ECOG scores were obtained pre- and postradiation or postsurgery. The paired, nonparametric Wilcoxon signed-rank test and ordinal logistic regression analysis were used for statistical analysis.

RESULTS

A total of 162 patients met inclusion criteria; 63 patients were treated operatively and 99 patients were treated with radiation. The mean follow-up was 1.9 years, with a median of 1.1 years for the surgical cohort (ranging from 2.5 months to 13.8 years) and a mean of 2 years with a median of 0.8 years for the radiation cohort (ranging from 2 months to 9.3 years). After covariates were accounted for, the average posttreatment changes in KPS scores in the surgical cohort were 7.46 ± 17.3 and in the radiation cohort were -2 ± 13.6 (p = 0.045). No significant difference was observed in ECOG scores. KPS scores improved postoperatively in 60.3% of patients in the surgical group and postradiation in 32.3% of patients in the radiation cohort (p < 0.001). Subanalysis within the radiation cohort revealed no differences in fracture rates or local control between patients treated with external-beam radiation therapy versus stereotactic body radiation therapy. In patients initially treated with radiation, 21.2% eventually developed compression fractures at a treated level. Five of the 99 patients in the radiation cohort-all of whom had a fracture-eventually underwent either methyl methacrylate augmentation or instrumented fusion.

CONCLUSIONS

Patients with SINS values of 7-12 who underwent surgery had greater improvement in KPS scores-but not in ECOG scores-than patients undergoing radiation alone. In patients treated with radiation, treatment was converted to a procedural intervention such as surgery only in patients who sustained fractures. Of the patients with fractures after radiation (21 of 99), 5 patients underwent an invasive procedure and 16 did not.

Correlation between improved leptin signaling and cognitive function post bariatric surgery

Determining whether changes in leptin signaling plays a role in the improvement of cognitive function post-bariatric surgery may aid in the understanding and development of novel therapeutic approaches targeting cognitive dysfunction through the greater understanding of processes connecting obesity and brain health. Several studies have explored the effects of cognition post bariatric surgery, and others have studied leptin and its changes post surgery. However the amalgamation of the effects of leptin signaling in relation to cognition post bariatric surgery have yet to be considered as key tools in the understanding of cognitive dysfunction in obese subjects with leptin resistance or insensitivity. This review serves to highlight the potential correlations, to further elucidate the effect of improved leptin signaling on cognition post bariatric surgery, and to propose a direct cause for the improvement of cognitive function via the amelioration of the leptin Janus kinase/Signal transducer and activator of transcription (JAK/STAT) signaling pathway as a result of the reversal of inflammatory processes involved in diseased individuals.

Ten second triage: A novel and pragmatic approach to major incident triage

Triage is a key principle in the effective management of major incidents and has traditionally been performed using an assessment of a casualty's physiology. However, it has become apparent from recent experiences of major incidents that physiological triage may practically not be possible, especially in the early stages of an incident. A key factor is the speed with which it is possible to perform triage, and subsequently, the speed at which key life-saving interventions (e.g., management of external haemorrhage and airway opening manoeuvres) are able to be performed simultaneously as part of the triage process. Addressing this issue was a priority for the review of major incident triage undertaken by NHS England and culminated in the development of the Ten Second Triage (TST) tool.

High-Impact Chronic Pain Transition in Lumbar Surgery Recipients

OBJECTIVE

High-impact chronic pain (HICP) is a term that characterizes the presence of a severe and troubling pain-related condition. To date, the prevalence of HICP in lumbar spine surgery recipients and their HICP transitions from before to after surgery are unexplored. The purpose was to define HICP prevalence, transition types, and outcomes in lumbar spine surgery recipients and to identify predictors of HICP outcomes.

METHODS

In total, 43,536 lumbar surgery recipients were evaluated for HICP transition. Lumbar spine surgery recipients were categorized as having HICP preoperatively and at 3 months after surgery if they exhibited chronic and severe pain and at least one major activity limitation. Four HICP transition groups (Stable Low Pain, Transition from HICP, Transition to HICP, and Stable High Pain) were categorized and evaluated for outcomes. Multivariate multinomial modeling was used to predict HICP transition categorization.

RESULTS

In this sample, 15.1% of individuals exhibited HICP preoperatively; this value declined to 5.1% at 3 months after surgery. Those with HICP at baseline and 3 months had more comorbidities and worse overall outcomes. Biological, psychological, and social factors predicted HICP transition or Stable High Pain; some of the strongest involved social factors of 2 or more to transition to HICP (OR = 1.43; 95% CI = 1.21-1.68), and baseline report of pain/disability (OR = 3.84; 95% CI = 3.20-4.61) and psychological comorbidity (OR = 1.78; 95% CI = 1.48-2.12) to Stable Stable High Pain.

CONCLUSION

The percentage of individuals with HICP preoperatively (15.1%) was low, which further diminished over a 3-month period (5.1%). Postoperative HICP groups had higher levels of comorbidities and worse baseline outcomes scores. Transition to and maintenance of HICP status was predicted by biological, psychological, and social factors.

A comparison of deprivation indices and application to transplant populations

The choice of deprivation index can influence conclusions drawn regarding the extent of deprivation within a community and the identification of the most deprived communities in the United States. This study aimed to determine the degree of correlation among deprivation indices commonly used to characterize transplant populations. We used a retrospective cohort consisting of adults listed for liver or kidney transplants between 2008 and 2018 to compare 4 deprivation indices: neighborhood deprivation index, social deprivation index (SDI), area deprivation index, and social vulnerability index. Pairwise correlation between deprivation indices by transplant referral regions was measured using Spearman correlations of population-weighted medians and upper quartiles. In total, 52 individual variables were used among the 4 deprivation indices with 25% overlap. For both organs, the correlation between the population-weighted 75th percentile of the deprivation indices by transplant referral region was highest between SDI and social vulnerability index (liver and kidney, 0.93) and lowest between area deprivation index and SDI (liver, 0.19 and kidney, 0.15). The choice of deprivation index affects the applicability of research findings across studies examining the relationship between social risk and clinical outcomes. Appropriate application of these measures to transplant populations requires careful index selection based on the intended use and included variable relevance.

Cervical spondylotic myelopathy with severe axial neck pain: is anterior or posterior approach better?

OBJECTIVE

The aim of this study was to determine whether multilevel anterior cervical discectomy and fusion (ACDF) or posterior cervical laminectomy and fusion (PCLF) is superior for patients with cervical spondylotic myelopathy (CSM) and high preoperative neck pain.

METHODS

This was a retrospective study of prospectively collected data using the Quality Outcomes Database (QOD) CSM module. Patients who received a subaxial fusion of 3 or 4 segments and had a visual analog scale (VAS) neck pain score of 7 or greater at baseline were included. The 3-, 12-, and 24-month outcomes were compared for patients undergoing ACDF with those undergoing PCLF.

RESULTS

Overall, 1141 patients with CSM were included in the database. Of these, 495 (43.4%) presented with severe neck pain (VAS score > 6). After applying inclusion and exclusion criteria, we compared 65 patients (54.6%) undergoing 3- and 4-level ACDF and 54 patients (45.4%) undergoing 3- and 4-level PCLF. Patients undergoing ACDF had worse Neck Disability Index scores at baseline (52.5 ± 15.9 vs 45.9 ± 16.8, p = 0.03) but similar neck pain (p > 0.05). Otherwise, the groups were well matched for the remaining baseline patient-reported outcomes. The rates of 24-month follow-up for ACDF and PCLF were similar (86.2% and 83.3%, respectively). At the 24-month follow-up, both groups demonstrated mean improvements in all outcomes, including neck pain (p < 0.05). In multivariable analyses, there was no significant difference in the degree of neck pain change, rate of neck pain improvement, rate of pain-free achievement, and rate of reaching minimal clinically important difference (MCID) in neck pain between the two groups (adjusted p > 0.05). However, ACDF was associated with a higher 24-month modified Japanese Orthopaedic Association scale (mJOA) score (β = 1.5 [95% CI 0.5-2.6], adjusted p = 0.01), higher EQ-5D score (β = 0.1 [95% CI 0.01-0.2], adjusted p = 0.04), and higher likelihood for return to baseline activities (OR 1.2 [95% CI 1.1-1.4], adjusted p = 0.002).

CONCLUSIONS

Severe neck pain is prevalent among patients undergoing surgery for CSM, affecting more than 40% of patients. Both ACDF and PCLF achieved comparable postoperative neck pain improvement 3, 12, and 24 months following 3- or 4-segment surgery for patients with CSM and severe neck pain. However, multilevel ACDF was associated with superior functional status, quality of life, and return to baseline activities at 24 months in multivariable adjusted analyses.

Minimally invasive versus open transforaminal lumbar interbody fusion for grade I lumbar spondylolisthesis: 5-year follow-up from the prospective multicenter Quality Outcomes Database registry

OBJECTIVE

Minimally invasive transforaminal lumbar interbody fusion (MI-TLIF) has been used to treat degenerative lumbar spondylolisthesis and is associated with expedited recovery, reduced operative blood loss, and shorter hospitalizations compared to those with traditional open TLIF. However, the impact of MI-TLIF on long-term patient-reported outcomes (PROs) is less clear. Here, the authors compare the outcomes of MI-TLIF to those of traditional open TLIF for grade I degenerative lumbar spondylolisthesis at 60 months postoperatively.

METHODS

The authors utilized the prospective Quality Outcomes Database registry and queried for patients with grade I degenerative lumbar spondylolisthesis who had undergone single-segment surgery via an MI or open TLIF method. PROs were compared 60 months postoperatively. The primary outcome was the Oswestry Disability Index (ODI). The secondary outcomes included the numeric rating scale (NRS) for back pain (NRS-BP), NRS for leg pain (NRS-LP), EQ-5D, North American Spine Society (NASS) satisfaction, and cumulative reoperation rate. Multivariable models were constructed to assess the impact of MI-TLIF on PROs, adjusting for variables reaching p < 0.20 on univariable analyses and respective baseline PRO values.

RESULTS

The study included 297 patients, 72 (24.2%) of whom had undergone MI-TLIF and 225 (75.8%) of whom had undergone open TLIF. The 60-month follow-up rates were similar for the two cohorts (86.1% vs 75.6%, respectively; p = 0.06). Patients did not differ significantly at baseline for ODI, NRS-BP, NRS-LP, or EQ-5D (p > 0.05 for all). Perioperatively, MI-TLIF was associated with less blood loss (108.8 ± 85.6 vs 299.6 ± 242.2 ml, p < 0.001) and longer operations (228.2 ± 111.5 vs 189.6 ± 66.5 minutes, p < 0.001) but had similar lengths of hospitalizations (MI-TLIF 2.9 ± 1.8 vs open TLIF 3.3 ± 1.6 days, p = 0.08). Discharge disposition to home or home health was similar (MI-TLIF 93.1% vs open TLIF 91.1%, p = 0.60). Both cohorts improved significantly from baseline for the 60-month ODI, NRS-BP, NRS-LP, and EQ-5D (p < 0.001 for all comparisons). In adjusted analyses, MI-TLIF, compared to open TLIF, was associated with similar 60-month ODI, ODI change, odds of reaching ODI minimum clinically important difference, NRS-BP, NRS-BP change, NRS-LP, NRS-LP change, EQ-5D, EQ-5D change, and NASS satisfaction (adjusted p > 0.05 for all). The 60-month reoperation rates did not differ significantly (MI-TLIF 5.6% vs open TLIF 11.6%, p = 0.14).

CONCLUSIONS

For symptomatic, single-level grade I degenerative lumbar spondylolisthesis, MI-TLIF was associated with decreased blood loss perioperatively, but there was no difference in 60-month outcomes for disability, back pain, leg pain, quality of life, or satisfaction between MI and open TLIF. There was no difference in cumulative reoperation rates between the two procedures. These results suggest that in appropriately selected patients, either procedure may be employed depending on patient and surgeon preferences.

Loss of linker histone H1 in the maternal genome influences DEMETER-mediated demethylation and affects the endosperm DNA methylation landscape

The Arabidopsis DEMETER (DME) DNA glycosylase demethylates the central cell genome prior to fertilization. This epigenetic reconfiguration of the female gamete companion cell establishes gene imprinting in the endosperm and is essential for seed viability. DME demethylates small and genic-flanking transposons as well as intergenic and heterochromatin sequences, but how DME is recruited to these loci remains unknown. H1.2 was identified as a DME-interacting protein in a yeast two-hybrid screen, and maternal genome H1 loss affects DNA methylation and expression of selected imprinted genes in the endosperm. Yet, the extent to which H1 influences DME demethylation and gene imprinting in the Arabidopsis endosperm has not been investigated. Here, we showed that without the maternal linker histones, DME-mediated demethylation is facilitated, particularly in the heterochromatin regions, indicating that H1-bound heterochromatins are barriers for DME demethylation. Loss of H1 in the maternal genome has a very limited effect on gene transcription or gene imprinting regulation in the endosperm; however, it variably influences euchromatin TE methylation and causes a slight hypermethylation and a reduced expression in selected imprinted genes. We conclude that loss of maternal H1 indirectly influences DME-mediated demethylation and endosperm DNA methylation landscape but does not appear to affect endosperm gene transcription and overall imprinting regulation.

Myocardial Injury on CMR in Patients With COVID-19 and Suspected Cardiac Involvement

BACKGROUND

Myocardial injury in patients with COVID-19 and suspected cardiac involvement is not well understood.

OBJECTIVES

The purpose of this study was to characterize myocardial injury in a multicenter cohort of patients with COVID-19 and suspected cardiac involvement referred for cardiac magnetic resonance (CMR).

METHODS

This retrospective study consisted of 1,047 patients from 18 international sites with polymerase chain reaction-confirmed COVID-19 infection who underwent CMR. Myocardial injury was characterized as acute myocarditis, nonacute/nonischemic, acute ischemic, and nonacute/ischemic patterns on CMR.

RESULTS

In this cohort, 20.9% of patients had nonischemic injury patterns (acute myocarditis: 7.9%; nonacute/nonischemic: 13.0%), and 6.7% of patients had ischemic injury patterns (acute ischemic: 1.9%; nonacute/ischemic: 4.8%). In a univariate analysis, variables associated with acute myocarditis patterns included chest discomfort (OR: 2.00; 95% CI: 1.17-3.40, P = 0.01), abnormal electrocardiogram (ECG) (OR: 1.90; 95% CI: 1.12-3.23; P = 0.02), natriuretic peptide elevation (OR: 2.99; 95% CI: 1.60-5.58; P = 0.0006), and troponin elevation (OR: 4.21; 95% CI: 2.41-7.36; P < 0.0001). Variables associated with acute ischemic patterns included chest discomfort (OR: 3.14; 95% CI: 1.04-9.49; P = 0.04), abnormal ECG (OR: 4.06; 95% CI: 1.10-14.92; P = 0.04), known coronary disease (OR: 33.30; 95% CI: 4.04-274.53; P = 0.001), hospitalization (OR: 4.98; 95% CI: 1.55-16.05; P = 0.007), natriuretic peptide elevation (OR: 4.19; 95% CI: 1.30-13.51; P = 0.02), and troponin elevation (OR: 25.27; 95% CI: 5.55-115.03; P < 0.0001). In a multivariate analysis, troponin elevation was strongly associated with acute myocarditis patterns (OR: 4.98; 95% CI: 1.76-14.05; P = 0.003).

CONCLUSIONS

In this multicenter study of patients with COVID-19 with clinical suspicion for cardiac involvement referred for CMR, nonischemic and ischemic patterns were frequent when cardiac symptoms, ECG abnormalities, and cardiac biomarker elevations were present.

ARC-7: Randomized phase 2 study of domvanalimab + zimberelimab ± etrumadenant versus zimberelimab in first-line, metastatic, PD-L1-high non-small cell lung cancer (NSCLC)

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Background: While PD-1 inhibitors demonstrated survival benefit compared to chemotherapy in patients (pts) with PD-L1-high, NSCLC, less than half of pts respond to monotherapy. Novel therapeutics or combinations are necessary to improve outcomes. Domvanalimab (D) is an Fc-silent humanized IgG1 monoclonal antibody (mAb) that blocks T cell Immunoglobulin and ITIM domain (TIGIT), thereby reducing immunosuppression of T/NK cells and promoting antitumor activity. Etrumadenant (E) is a selective dual antagonist of both A2a and A2b receptors (R) expressed on immune cells thereby reducing immunosuppressive extracellular adenosine. ARC-7 evaluates whether inhibition of TIGIT and adenosine pathways augments activity of zimberelimab (Z) (anti-PD-1 mAb) in pts with PD-L1-high NSCLC. Methods: ARC-7 (NCT04262856) is a randomized, open-label phase 2 clinical trial which enrolled treatment-naïve pts with Stage IV, squamous or non-squamous NSCLC with locally assessed high PD-L1 expression (TPS ≥ 50%), no EGFR or ALK alterations, and ECOG PS ≤1. Pts were randomized (1:1:1) to: Arm 1 (Z): Z 360 mg intravenously (IV) every 3 weeks (Q3W); Arm 2 (DZ): D 15 mg/kg IV Q3W + Z; Arm 3 (EDZ): E 150 mg orally once daily + DZ. Pts in Arm 1 with confirmed progression had the option to cross over to EDZ. Co-primary endpoints were overall response rate (ORR) and progression-free survival (PFS) per RECIST v1.1. Results: As of 31 August 2022, 149 pts received at least one dose of study treatment. Efficacy for this interim analysis included 133 pts randomized at least 13 weeks prior to data cut-off (ITT-13), allowing for ≥ 2 post-baseline scans. With median follow-up of 11.8 months (mo), D-containing arms, demonstrated improved ORR and PFS compared to Z. In the safety population, grade ≥3 treatment-emergent adverse events occurred in 58% (Z), 47% (DZ), and 52% (EDZ). All cases of rash were grade 1-2, manageable with topical corticosteroids, and more common in EDZ (Table). Conclusions: In the first published, randomized dataset evaluating an Fc-silent TIGIT mAb, both D containing arms demonstrated clinically meaningful improvement in ORR and PFS compared to Z. Treatment with Z, DZ and EDZ was well tolerated, and the safety profiles of D-containing arms were similar to Z. Ongoing phase 3 trials are evaluating DZ compared to standard of care in metastatic NSCLC. Clinical trial information: NCT04262856. [Table: see text]

Use of convolutional neural networks in skin lesion analysis using real world image and non-image data

Background

Understanding performance of convolutional neural networks (CNNs) for binary (benign vs. malignant) lesion classification based on real world images is important for developing a meaningful clinical decision support (CDS) tool.

Methods

We developed a CNN based on real world smartphone images with histopathological ground truth and tested the utility of structured electronic health record (EHR) data on model performance. Model accuracy was compared against three board-certified dermatologists for clinical validity.

Results

At a classification threshold of 0.5, the sensitivity was 79 vs. 77 vs. 72%, and specificity was 64 vs. 65 vs. 57% for image-alone vs. combined image and clinical data vs. clinical data-alone models, respectively. The PPV was 68 vs. 69 vs. 62%, AUC was 0.79 vs. 0.79 vs. 0.69, and AP was 0.78 vs. 0.79 vs. 0.64 for image-alone vs. combined data vs. clinical data-alone models. Older age, male sex, and number of prior dermatology visits were important positive predictors for malignancy in the clinical data-alone model.

Conclusion

Additional clinical data did not significantly improve CNN image model performance. Model accuracy for predicting malignant lesions was comparable to dermatologists (model: 71.31% vs. 3 dermatologists: 77.87, 69.88, and 71.93%), validating clinical utility. Prospective validation of the model in primary care setting will enhance understanding of the model’s clinical utility.

Programmable RNA sensing for cell monitoring and manipulation

RNA is a central and universal mediator of genetic information underlying the diversity of cell types and cell states, which together shape tissue organization and organismal function across species and lifespans. Despite numerous advances in RNA sequencing technologies and the massive accumulation of transcriptome datasets across the life sciences1,2, the dearth of technologies that use RNAs to observe and manipulate cell types remains a bottleneck in biology and medicine. Here we describe CellREADR (Cell access through RNA sensing by Endogenous ADAR), a programmable RNA-sensing technology that leverages RNA editing mediated by ADAR to couple the detection of cell-defining RNAs with the translation of effector proteins. Viral delivery of CellREADR conferred specific cell-type access in mouse and rat brains and in ex vivo human brain tissues. Furthermore, CellREADR enabled the recording and control of specific types of neurons in behaving mice. CellREADR thus highlights the potential for RNA-based monitoring and editing of animal cells in ways that are specific, versatile, simple and generalizable across organ systems and species, with wide applications in biology, biotechnology and programmable RNA medicine.

OS08.6.A Novel role of ARF4-mediated retrograde trafficking as a driver of chemoresistance in GBM

Background

Glioblastoma (GBM) is the most common type of adult malignant brain tumor, with a median survival of only 21 months. This is partly due to the high rate of resistance to conventional therapy, including temozolomide (TMZ), leading to recurrence rates close to 100%. To identify the unknown genes driving the development of this resistance, we performed a genome-wide CRISPR knockout screen comparing a DMSO-treated population with a TMZ-treated population over 14 days. Results showed substantial enrichment of ~200 novel genes, including a previously unstudied gene ARF4—involved in retrograde trafficking to the nucleus. Here, we set out to characterize the mechanism by which ARF4 may be acting to promote chemoresistance.

Material and Methods

A whole-genome CRISPR-Cas9 sensitivity screen as well as a variety of in vitro and in vivo experiments, such as live-cell imaging, cell viability assays, and western blotting were conducted.

Results

Initial investigation into ARF4 showed significant elevations in expression at RNA and protein levels (p&lt;0.05) in recurrent patient tumors, as well as a significant survival benefit in patient datasets when downregulated (p&lt;0.05). Knocking out ARF4 resulted in significantly heightened sensitivity to TMZ in multiple GBM patient-derived xenograft lines and extended survival compared to the controls (p&lt;0.01) in vivo. Further investigation via live-cell imaging of transferrin receptors, a retrograde transport marker, revealed that ARF4-knockdowns significantly inhibited retrograde trafficking, while ARF4-overexpressions resulted in an untenable increase in retrograde trafficking in vitro. This effect was also seen in TMZ-treated cells, which displayed enhanced trafficking dynamics, suggesting that ARF4-mediated retrograde trafficking is elevated during therapy to drive nuclear localization of key chemoresistance-promoting factors. We then performed an unbiased proteomics screen to identify which genes were being uniquely transported to the nucleus as a product of ARF4-mediated retrograde trafficking, which revealed enrichment of the EGFR signaling pathway in particular. Validation experiments confirmed a decrease in EGFR trafficking and nuclear EGFR expression in ARF4-knockdowns and an increase in EGFR trafficking and nuclear EGFR expression in ARF4-overexpression and TMZ-treated GBM cells. Furthermore, nuclear DNA-PK, a DNA repair protein known to be transcriptionally activated by EGFR, was similarly found to be downregulated in ARF4-knockdown conditions and elevated in ARF4-overexpression and TMZ-treated conditions.

Conclusion: Here, we show that ARF4 may be responsible for promoting chemoresistance through altered retrograde trafficking of EGFR specifically. Thus, our study has yielded a promising and novel therapeutic target for GBM, a disease desperately in need of new therapeutic strategies.

P02.01.B The telomere maintenance mechanism spectrum and its dynamics in gliomas

The activation of the telomere maintenance mechanism (TMM) is one of the critical drivers of cancer cell immortality. In gliomas, TERT expression and TERT promoter mutation are considered to reliably indicate telomerase activation, while ATRX mutation indicates alternative lengthening of telomeres (ALT). However, these relationships have not been extensively validated in tumor tissues. Here, we show through the direct measurement of telomerase activity and ALT in a large set of glioma samples that the TMM in glioma cannot be defined in the dichotomy of telomerase activity and ALT, regardless of TERT expression, TERT promoter mutation and ATRX mutation. Moreover, we observed that a considerable proportion of gliomas lack both telomerase activity and ALT (Neither group). And this Neither group exhibited evidence of slow growth potential. From a set of longitudinal samples from a separate cohort of glioma patients, we discovered that the TMM is not fixed but changes with glioma progression. Collectively, these results suggest that the TMM is a dynamic entity and that reflects the plasticity of the oncogenic biological status of tumor cells and that the TMM should be defined by the direct measurement of telomerase enzyme activity and evidence of ALT.

Priority Areas for Child Diaper Access: Low-Income Neighborhoods with Limited Retail Access to the Basic Need of Diapers

Introduction:

Although a requirement for the health and hygiene of young children, millions of US families with low-incomes have unmet needs for diapers. The present study explored retail options in Durham County, NC for purchasing diapers in low-income neighborhoods in effort to increase our understanding of the overall context of diaper need.

Methods:

During June 2018, we visited 63 retailers selling 2460 child diaper products in 29 census tracts with a median household income ≤200% of the federal poverty guideline. Corner stores were the only retailers to sell products without original packaging, including one corner store selling loose diapers for $1.49 each. Next, we calculated bus routes to determine accessibility of the retailer with the lowest prices and greatest selection. One-way bus travel from all other census tracts to a big-box store required taking two buses combined with an average of 11 min walking for an average travel time of 43 min. We deemed census tracts as “priority areas for diaper access” when they were characterized as: (1) low income and (2) low access with no retailer selling all of the 10 most common child diaper sizes.

Results:

Nearly half (n=13) of the census tracts in our sample met our criteria for priority areas. We compared neighborhood characteristics of priority areas with all other county census tracts. Families living in priority areas were statistically significantly more likely to: identify as Black or African American, face challenges affording housing costs, have homes or automobiles in need of repair, experience neighborhood violence, and have less educational attainment.