Citations

Abstract Background and Objectives Lucid episodes (LEs) in advanced dementia are characterized by spontaneous, transient recovery of functional abilities. Despite recent increases in research on this previously understudied phenomenon, standard definitional criteria are lacking, presenting challenges for research. Researchers have proposed a preliminary framework to guide uniform labeling and operationalization of salient data elements for investigating LEs and developing definitional criteria. This study leverages this framework to characterize reports of LEs from caregivers and advance their definition and measurement. Research Design and Methods Family caregivers (N = 259) completed an electronic survey with quantitative and open-ended questions about LEs they witnessed (N = 479 episodes). Respondents were purposively sampled for qualitative interviews. Open-ended question responses (n = 208) and in-depth interviews (n = 24) were analyzed using content analysis. Results Caregiver descriptions suggest that the content and context of LEs are heterogeneous. Descriptions included observable changes from baseline, with behavior or communication that was distinguishable from routine cognitive fluctuations. LEs were sometimes, but not always specified by logically organized actions; recognition or awareness of people, emotions, and surroundings; and insight of their cognitive limitations. Many LEs required deep personal knowledge to attribute it as a meaningful shift. Discussion and Implications Findings suggest that definitional features may universally specify a significant return of ability with more flexible criteria for how this return manifests in observed actions and domains of recovery (i.e., insight, function, and communication). The impact of LEs on observers may be better measured separately, although further research should explore this.

Background: Sleep is vital for an athlete’s recovery, physical and mental health, and athletic performance. The impact on circadian rhythm from long-distance travel across multiple time zones has not been studied using wearable technology in female professional tennis players. Hypothesis: Travel between time zones in female professional tennis players leads to circadian desynchronization, causing disruption in sleep patterns, changes in physiologic parameters, and decreased athletic performance. Study Design: Retrospective cohort study. Level of Evidence: Level 3. Methods: A total of 52 female professional tennis players consented to wear, and share the data of, WHOOP 3.0 while traveling and competing on the Women’s Tennis Association (WTA) Tour. Linear mixed models examined the relationship between (1) travel and sleep/recovery and (2) sleep/recovery and match performance. Results: Sleep duration without travel averaged 437 minutes (436.8 ± 2.8). On the first night after travel, for every hour time zone difference (TZD) traveled regardless of direction, players slept 11 minutes less (−11.3 ± 0.96; P < 0.05). Eastward travel further reduced sleep (−24.5 ± 4.2; P < 0.05), while westward travel increased sleep duration (+30.0 ± 4.2; P < 0.05). These effects were reduced on the subsequent 2 nights. Conclusion: Sleep duration reduction was most prominent on the first night after travel, particularly with eastward travel, but improved on subsequent nights. The number of time zones crossed predictably increases the vulnerability for insufficient sleep duration, whereby a 2-hour TZD easterly, and 4-hour TZD westerly, reduces sleep duration <7 hours on the first night. No significant correlation was found between sleep disruption and competition performance in our female professional tennis population. Clinical Relevance: The findings suggest that professional tennis players should, and generally do, arrive at competition locations with enough time to resynchronize their circadian rhythm to the destination time zone; particularly if traveling eastward.

OBJECTIVE Lesions of the cerebellopontine angle (CPA) and petroclival region represent a challenging surgical target due to the complex anatomy of the involved neurovascular structures. In this scenario, cranial nerve (CN) VI is particularly exposed to potential injuries due to its deep-seated location and absence of a bony foramen that serves as a reference of its most distal cisternal point, especially when it is encased or displaced by large lesions. This study aimed to provide reliable operative guidance for preventing injuries to CN VI during the retrosigmoid approach to address CPA and petrotentorial lesions. METHODS Four formalin-fixed, latex-injected anatomical specimens were dissected to highlight and investigate the relevant anatomy of the CPA and petroclival region during the retrosigmoid approach. Additionally, 50 sides of noninjected formalin-fixed specimens were dissected for morphometric evaluation. Correlations between the petrotentorial junction (PTJ), porus acusticus (PA), and trigeminal impression (TI) with the entry point of CN VI into Dorello’s canal were evaluated. An illustrative clinical case and a 3D anatomical model generated through the photogrammetry scanning technique were described. RESULTS In the sagittal plane, CN VI entrance into Dorello’s canal was found in a trajectory parallel to the PTJ, passing through the inferior aspect of the PA and 21.5 ± 1.3 mm anteriorly. In the coronal plane, the entry point of CN VI into Dorello’s canal was estimated at 6.2 ± 1.2 mm from the anterior edge of the TI in a trajectory perpendicular to the PTJ in 47 (81%) specimens. CONCLUSIONS The obtained results demonstrated two surgical strategies to locate Dorello’s canal within the retrosigmoid route: 1) approximately 20 mm anterior along the inferior edge of the PA parallel to the PTJ; and 2) approximately 6 mm inferior to the anterior edge of the TI, perpendicular to the PTJ. The defined operative strategies provide reliable anatomical guidance to locate the entrance of CN VI into Dorello’s canal within the retrosigmoid route, potentially reducing the risk of abducens nerve palsy and improving patient outcomes.

Collaboration between biobanks and research teams is essential for advancing scientific research, particularly in studies involving human subjects; however, various challenges can hinder success. We shed light on key obstacles and challenges encountered during a partnership between a clinical trial and an institutional biobank at a pediatric hospital. In aiming to recruit pediatric biobank participants for a genomic clinical research study, key challenges included low-yield recruitment tactics, independent operations and structures of the biobank and research teams, and transition to a new biobank model resulting in struggles with participant reengagement. This article explores some of the obstacles experienced by the research and biobanks teams, while providing key lessons aimed at guiding others in planning future collaborations for trial recruitment, enrollment, and implementation. We also highlight the significant benefits that can arise when biobanks and research teams work together strategically.

Context.— Clinical laboratories are increasingly implementing pharmacogenomic (PGx) testing. Although PGx is similar to genetic testing for other indications, there are unique aspects that laboratories should consider. Objective.— To aid clinical laboratories that are implementing clinical PGx testing by describing characteristics of PGx test design and validation, as well as approaches to reporting. Resources that are useful for clinical laboratories performing PGx testing will be highlighted. Design.— The College of American Pathologists formed a workgroup composed of laboratorians with expertise in clinical PGx testing. The workgroup included representatives from the Association for Molecular Pathology and the American College of Medical Genetics and Genomics. The workgroup reviewed pertinent literature, as well as experience from proficiency testing and from members’ laboratories. Results.— The workgroup recommends that laboratories implementing PGx consider the following concepts: testing platform, test design (ie, selection of pharmacogenes and variants/alleles), use of reference materials during test development and as controls during clinical runs, star allele and standard nomenclature systems, translations from genotype to predicted phenotype, and considerations for result reporting including making medication recommendations. The workgroup provides considerations when using report vendors, emphasizing the clinical laboratory’s role and responsibility when implementing such reporting tools from vendors. Conclusions.— Clinical laboratories should be familiar with the fundamentals of PGx, ensure that PGx testing meets the applicable regulatory requirements for all aspects of the clinical laboratory testing process, and follow recommendations for standardization of nomenclature and reporting.

PURPOSE The difference in time to serum calcium normalization and rates of subsequent refractory hypocalcemia between bisphosphonates requires further investigation. Our primary objective was to assess the difference in normalization of serum calcium between pamidronate and zoledronic acid during treatment of hypercalcemia of malignancy (HCM) and rates of subsequent, refractory hypocalcemia following therapy. METHODS A retrospective review of patients with cancer who received pamidronate or zoledronic acid inpatient at Mayo Clinic for treatment of HCM between January 2018 and January 2024 was conducted. Logistic regression evaluated the association between treatment groups and outcomes. Multivariable modeling was adjusted for baseline differences, including severity of hypercalcemia. RESULTS We evaluated 856 patients. The median age was 68 (IQR, 59-75) years, and 476 (55.6%) were male. The most common cancer diagnoses were lymphoma (n = 158, 18.5%), followed by multiple myeloma (n = 145, 16.9%) and lung cancer (n = 111, 13%). Overall, 292 (46.8%) patients and 154 (32.8%) patients achieved serum calcium normalization by hospital day 4 and day 7, respectively. The rate of normalization was similar between all bisphosphonates, regardless of pamidronate dose. Significantly higher rates of hypocalcemia were observed on day 4 for patients who received zoledronic acid 4 mg once compared with either dose (60 mg once and 90 mg once) of pamidronate (40.7% v 27.6% v 26.8%, P = .049, respectively). No significant difference in rates of hypocalcemia were observed on day 7 (56.8% v 50% v 42.9%, P = .26, respectively) and day 30 (39.1% v 39.0% v 37.5%, P = .50, respectively). CONCLUSION Bisphosphonates were equally efficacious in normalizing serum calcium in patients with HCM. Pamidronate 90 mg was not more efficacious than 60 mg. Rates of refractory hypocalcemia were similar.

Background Migraine is a highly prevalent neurological disorder with many treatment options, both pharmacological and non-pharmacological. Artificial intelligence (AI) has great potential to optimize treatment selection strategies for individual patients. This review provides an overview of AI models and the techniques used to predict migraine treatment outcomes. Methods We conducted a literature search in PubMed and examined studies that reported employing AI models to predict migraine preventive and acute treatment outcomes. We also explored incorporating AI/machine learning to enhance personalized migraine treatment strategies, including forecasting migraine attacks. Additionally, we summarized future research directions, including incorporating multimodality data, using AI frameworks for the discovery of novel treatment targets, and advancing the field with innovative AI techniques such as digital twins, conversational AI and virtual AI agents. Results Studies have employed ML and deep learning on a combination of clinical features and imaging data to predict acute or preventive migraine treatment outcomes with reported success. Continued model optimization, validation, and prospective assessment of the clinical utility of deploying ML models in real-world settings are crucial. Conclusions While AI has demonstrated success in predicting migraine treatment responses, future research incorporating novel AI techniques and diverse data sources could pave the way to advance personalized migraine treatment.

Abstract Despite concerns about the toxicity of allogeneic hematopoietic cell transplantation (alloHCT) in older patients, prospective data characterizing prevalence or risk stratification for geriatric morbidity such as disability or frailty are limited. We prospectively assessed the prognostic impact of the novel composite health assessment risk model (CHARM), a score established to predict 1-year nonrelapse mortality (NRM), among 1105 patients aged ≥60 years enrolled on the Bone Marrow Transplant Clinical Trials Network Study 1704. Secondary end points were assessed post-alloHCT at day 100 (D100), D180, and D365 in multivariable models adjusted with predetermined clinical variables. Among alloHCT survivors, the prevalence of disability by instrumental activities of daily living (IADL), frailty by the Physical Frailty Phenotype, and physical function impairment by Patient Reported Measurement Information System (PROMIS) was highest at D100 and lower on D180 and D365. Higher CHARM scores were independently associated with greater disability (coefficient, −0.64; 95% confidence interval [CI], −0.85 to −0.43; P&lt; .001), increased frailty (coefficient, 0.19; CI, 0.081-0.31; P&lt; .001), worse PROMIS physical function, greater PROMIS depression, increased serious organ toxicity by D100, more cognitive decline at D100, and higher mortality after acute graft-versus-host disease (GVHD) but not significantly associated with PROMIS anxiety or acute GVHD. Higher CHARM scores predicted worse disability-free survival (odds ratio [OR], 2.03; CI, 1.66-2.48; P&lt; .001) and lower frailty-free survival (OR, 2.00; CI, 1.61-2.49). In summary, CHARM is an independent prognostic scoring system not only for NRM but also for geriatric morbidity and functional limitation–free survival through 1 year after alloHCT. Pre-alloHCT CHARM is a novel tool to aid shared decision-making for older patients. This trial was registered at www.clinicaltrials.gov as #NCT03992352.