Citations

PURPOSE Cancer of unknown primary (CUP) is a syndrome comprising metastatic cancers without a clinically identified primary site. Although patients with CUP have an unfavorable prognosis, treatment with site-specific therapies guided by clinical features, standard pathology, and molecular assays can improve overall survival. The 92-gene assay (CancerTYPE ID) is a gene expression–based classifier that helps identify the tissue of origin for metastatic cancers with unknown or uncertain diagnoses. This study reports the frequency of selected molecular aberrations of oncogenes, including KRAS, IDH1/2, BRCA1/2, and BRAF, in patients with CUP in the MOSAIC database to highlight potential treatment options. METHODS MOSAIC is a database of patients with CUP submitted for CancerTYPE ID testing and NeoTYPE biomarker testing. Tumor biopsy samples were analyzed by CancerTYPE ID for tumor type identification and further tested for molecular aberrations of oncogenes, including KRAS, IDH1/2, BRCA1/2, and BRAF. RESULTS CancerTYPE ID identified a specific tumor type in 92.5% (2,929 of 3,168) of CUP cases in the MOSAIC database. The most commonly identified histological type was adenocarcinoma (75.4%), with pancreaticobiliary being the most common molecularly diagnosed cancer (24.9%). Aberrations in KRAS, IDH1/2, BRCA, and BRAF genes were identified in 18.8% (n = 597) of biopsies. A cancer-specific US Food and Drug Administration (FDA)–approved or investigational targeted therapy was potentially available for 24.6% (n = 147) of these patients. CONCLUSION This retrospective analysis supports incorporating CancerTYPE ID into the evaluation for patients with CUP to help determine the tissue of origin and identify actionable genetic alterations. This approach may allow more patients with CUP to benefit from site-specific FDA-approved targeted therapies or enrollment into clinical trials.

OBJECTIVE Stereoelectroencephalography (SEEG) has become the predominant method for intracranial seizure localization. When imaging, semiology, and scalp EEG findings are not in full agreement or definitively localizing, implanted SEEG recordings are used to test candidate seizure onset zones (SOZs). Discovered SOZs may then be targeted for resection, laser ablation, or neurostimulation. If an SOZ is eloquent, resection and ablation are both contraindicated, so identifying functional representation is crucial for therapeutic decision-making. The authors present a novel functional brain mapping technique that utilizes task-based electrophysiological changes in SEEG during behavioral tasks and test this in pediatric and adult patients. METHODS SEEG was recorded in 20 patients with epilepsy who ranged in age from 6 to 39 years (12 female, 18 of 20 patients < 21 years of age) and underwent implanted monitoring to identify seizure onset. Each performed 1) visually cued simple repetitive movements of the hand, foot, or tongue while electromyography was recorded; and 2) simple picture-naming or verb-generation speech tasks while audio was recorded. Broadband changes in the power spectrum of the SEEG recording were compared between behavior and rest. RESULTS Electrophysiological functional mapping of movement and/or speech areas was completed in all 20 patients. Eloquent representation was identified in both cortex and white matter and generally corresponded to classically described functional anatomical organization as well as other clinical mapping results. Robust maps of brain activity were identified in healthy brain, regions of developmental or acquired structural abnormality, and SOZs. CONCLUSIONS Task-based electrophysiological mapping using broadband changes in the SEEG signal reliably identifies movement and speech representation in pediatric and adult epilepsy patients.

Tumor-educated platelets (TEPs) are a potential method of liquid biopsy for the diagnosis and monitoring of cancer. However, the mechanism underlying tumor education of platelets is not known, and transcripts associated with TEPs are often not tumor-associated transcripts. We demonstrated that direct tumor transfer of transcripts to circulating platelets is an unlikely source of the TEP signal. We used CDSeq, a latent Dirichlet allocation algorithm, to deconvolute the TEP signal in blood samples from patients with glioblastoma. We demonstrated that a substantial proportion of transcripts in the platelet transcriptome are derived from nonplatelet cells, and the use of this algorithm allows the removal of contaminant transcripts. Furthermore, we used the results of this algorithm to demonstrate that TEPs represent a subset of more activated platelets, which also contain transcripts normally associated with nonplatelet inflammatory cells, suggesting that these inflammatory cells, possibly in the tumor microenvironment, transfer transcripts to platelets that are then found in circulation. Our analysis suggests a useful and efficient method of processing TEP transcriptomic data to enable the isolation of a unique TEP signal associated with specific tumors.

Obesity hypoventilation syndrome (OHS) can often be underdiagnosed or misdiagnosed and has been shown to pose significant risks in perioperative situations. Patients with OHS have a higher prevalence of baseline morbid conditions like hypertension, congestive heart failure (CHF), diabetes mellitus, atrial fibrillation, and pulmonary hypertension (PH), which contribute to adverse postoperative outcomes. The potential challenges include difficult intubation and loss of airway, postoperative respiratory failure, worsening heart failure, pulmonary hypertensive crisis, and opioid-induced respiratory depression (OIRD). It is, therefore, important to screen all obese patients for obstructive sleep apnea (OSA) and OHS before elective surgical procedures. The aim of this review is to discuss the preoperative screening and evaluation and safe anesthetic and up-to-date ventilatory management of this complex group of patients. This review also intends to increase the awareness of OHS in the adult population among hospitalists, surgeons, and cardiologists who may find themselves taking care of these patients in complex multidisciplinary settings.

Objective: To evaluate for equivalence in postoperative changes of speech recognition scores in a veteran patient population undergoing cochlear implantation (CI) compared to matched nonveteran patients. Study Design: Retrospective chart review. Setting: Tertiary referral center. Patients: A total of 83 veteran patients who underwent CI at a single Veterans Affairs Medical Center (VA cohort) were matched to 83 nonveteran patients from the Health Insurance Portability and Accountability Act-secure, Encrypted, Research, Management and Evaluation Solution database (HERMES cohort) based on age, sex, and baseline Consonant–Nucleus–Consonant (CNC) scores. Intervention: Patients underwent CI. Main Outcome Measures: Comparison of postoperative CNC and Arizona Biomedical Institute recognition scores. Results: The mean difference and lower confidence interval of CNC scores between matched Veterans Affairs and HERMES cohorts were within a −ΔNI boundary of −15% at the 3-month (mean = 6.15, lower confidence interval = −2.38), 6-month (mean = 7.36, lower confidence interval = −2.21), and 12-month (mean = 4.03, lower confidence interval = −4.88) postoperative time points. The mean difference and lower confidence interval of Arizona Biomedical Institute scores between cohorts were within the −ΔNI boundary of −30% at 3 months (mean = 1, lower confidence interval = −8.71), 6 months (mean = 0.31, lower confidence interval = −12.30), and 12 months (mean = 0.72, lower confidence interval = −10.48). Conclusion: Our veteran population demonstrated improvements in speech recognition scores after CI comparable to a matched nonveteran population. Although veterans face unique factors that affect their hearing, access to medical care, and baseline general health, these findings affirm appropriate veteran candidates should be offered CI.

Purpose: Evaluate the relationship between CYP3A4 phenotype, the gene encoding the enzyme that metabolizes exogenous steroids, and the rate of steroid-induced intraocular pressure (IOP) response. Materials and Methods: Lymphocyte-derived DNA sequencing of CYP3A4 from 10073 patients was completed using the PGRN-Seq assay. Subjects with CYP3A4 intermediate metabolizer or slower phenotypes were identified and compared with controls matched by age, race, and sex. All subjects had at least 3 eye exams with at least an exam while on topical/systemic/local steroid in any body location except the eye. Patients with pre-existing glaucoma or glaucoma suspects were excluded. Results: Of the 10,073 patients, there were 63 patients who had CYP3A4 poor or intermediate metabolizer phenotype. Of the 63 patients, 22 had documented steroid use. Fifty-nine percent (13/22) of patients with CYP3A4 poor/intermediate metabolizer had a steroid-induced IOP response of 3 mm Hg or more, significantly higher compared with 23% (5/22) of matched controls (P=0.031). Although more poor/intermediate metabolizers were steroid responders, the average IOP elevation in steroid responders in both groups was similar (5.0±2.5 mm Hg in CYP3A4 poor/intermediate metabolizers compared with 4.1±2.1 mm Hg in controls, P=0.327). Family history of glaucoma was similar in both groups (7/22 vs. 8/22, P=1.0). Conclusion: Reduced CYP3A4 phenotypes may help identify patients at a higher risk of steroid-induced IOP elevation.

Abstract Background Outcomes in alcohol‐associated liver disease (ALD) are influenced by several race and ethnic factors, yet its natural history across the continuum of patients in different stages of the disease is unknown. Methods We conducted a retrospective cohort study of U.S. adults from 2011 to 2018, using three nationally representative databases to examine potential disparities in relevant outcomes among racial and ethnic groups. Our analysis included logistic and linear regressions, along with competing risk analysis. Results Black individuals had the highest daily alcohol consumption (12.6 g/day) while Hispanic participants had the largest prevalence of heavy episodic drinking (33.5%). In a multivariable‐adjusted model, Hispanic and Asian participants were independently associated with a higher ALD prevalence compared to Non‐Hispanic White interviewees (OR: 1.4, 95% CI: 1.1–1.8 and OR: 1.5 95% CI:1.1–2.0, respectively), while Blacks participants had a lower ALD prevalence (OR: .7 95% CI: .6–.9), and a lower risk of mortality during hospitalization due to ALD (OR: .83 95% CI: .73–.94). Finally, a multivariate competing‐risk analysis showed that Hispanic ethnicity had a decreased probability of liver transplantation if waitlisted for ALD (SHR: .7, 95% CI: .6–.8) along with female Asian population (HR: .40, 95% CI: .26–.62). Conclusions After accounting for key social and biological health determinants, the Hispanic population showed an increased risk of ALD prevalence, even with lower alcohol consumption. Additionally, Hispanic and Asian female patients had reduced access to liver transplantation compared to other enlisted patients.

Background:Alcohol-associated hepatitis (AH) is associated with significant mortality. Model for End-Stage Liver Disease (MELD) score is used to predict short-term mortality and aid in treatment decisions. MELD is frequently updated in the course of AH. However, once the most updated MELD is known, it is uncertain if previous ones still have prognostic value, which might be relevant for transplant allocation and trial design. We aimed to investigate the predictive performance of updated MELDs in a prospectively collected cohort of patients with AH by the InTeam consortium.Methods:Three hundred seven patients (with 859 MELD values within 60 d of admission) fulfilled the inclusion criteria. The main endpoint was time to death or transplant up to 90 days. We used a joint model approach to assess the predictive value of updated MELDs.Results:Updated MELD measurements had a strong prognostic value for death/transplant (HR: 1.20, 95% CI: 1.14–1.27) (p< 0.0001). Previous MELD values did not add predictive value to the most current MELD. We also showed that MELD at day 28 (MELD28) had a significant predictive value for subsequent mortality/transplant in a landmark analysis (HR: 1.18, 95% CI: 1.12–1.23). We show that the use of an ordinal scale including death, transplant, and MELD28 as a trial outcome could substantially reduce the sample size required to demonstrate short-term benefit of an intervention.Conclusion:We show that updated MELDs during the trajectory of AH predict subsequent mortality or the need for transplant. MELD28 inclusion in an ordinal outcome (together with death or transplant) could increase the efficiency of randomized controlled trials.

AbstractBackgroundThis SRMA reviewed and assessed the changes in the severity of disorders of gut‐brain interaction (DGBI) symptoms during the COVID‐19 pandemic, and evaluated factors associated with symptom severity changes.MethodsElectronic databases were searched until February 2024, for articles reporting on changes in symptom severity in DGBI patients during the COVID‐19 pandemic. The proportion of DGBI patients who reported a change in their symptom severity were pooled using a random‐effects model, and subgroup analyses were conducted to assess the effect of socio‐cultural modifiers on symptom severity in DGBI.Key ResultsTwelve studies including 3610 DGBI patients found that 31.4% (95% CI, 15.9–52.5) of DGBI patients experienced symptom deterioration, while 24.3% (95% CI, 10.2–47.5) experienced improvement. Countries with high gross domestic product (GDP) had a 43.5% (95% CI, 16.3–75.2) likelihood of symptom deterioration, compared to 9.2% (95% CI, 1.4–42.2) in lower GDP countries. Similarly, countries with low COVID fatality rates had a 60.1% (95% CI, 19.7–90.3) likelihood of symptom deterioration, compared to 18.3% (95% CI, 7.8–36.9) in higher fatality rate countries. Countries with lenient COVID policies had a 58.4% (95% CI, 14.1–92.3) likelihood of symptom deterioration, compared to 19% (95% CI, 8.2–38.1) in countries with stricter policies. Patients in high vaccine hesitancy countries had a 51.4% (95% CI, 19.5–82.2) likelihood of symptom deterioration, compared to 10.6% (95% CI, 2.7–33.4) in low vaccine hesitancy countries.Conclusions & InferencesThis meta‐analysis reveals that a significantly higher proportion of DGBI patients experienced deterioration of symptoms during the COVID‐19 pandemic. Various sociocultural, economic and environmental factors potentially modify the effects of the COVID‐19 pandemic on DGBI.

Socioeconomic status (SES) is a multi‐faceted theoretical construct associated with stroke risk and outcomes. Knowing which SES measures best correlate with population stroke metrics would improve its accounting in observational research and inform interventions. Using the Centers for Disease Control and Prevention's (CDC) Population Level Analysis and Community Estimates (PLACES) and other publicly available databases, we conducted an ecological study comparing correlations of different United States county‐level SES, health care access and clinical risk factor measures with age‐adjusted stroke prevalence. The prevalence of adults living below 150% of the federal poverty level most strongly correlated with stroke prevalence compared to other SES and non‐SES measures (correlation coefficient = 0.908, R2 = 0.825; adjusted partial correlation coefficient: 0.589, R2 = 0.347). ANN NEUROL 2024;96:739–744