Discovery of Potent, Orally Bioavailable Sphingosine-1-Phosphate Transporter (Spns2) Inhibitors.

Targeting the S1P pathway has resulted in the development of S1P1 receptor modulators for the treatment of multiple sclerosis and ulcerative colitis. We hypothesize that targeting an upstream node of the S1P pathway may provide an improved adverse event profile. In this report, we performed a structure-activity relationship study focusing on the benzoxazole scaffold in SLB1122168, which lead to the discovery of 11i (SLF80821178) as a potent inhibitor of S1P release from HeLa cells (IC50: 51 ± 3 nM). Administration of SLF80821178 to mice induced ∼50% reduction in circulating lymphocyte counts, recapitulating the lymphopenia characteristic of Spns2 null animals. Molecular modeling studies suggest that SLF80821178 binds Spns2 in its occluded inward-facing state and forms hydrogen bonds with Asn112 and Ser211 and π stacking with Phe234. Taken together, SLF80821178 can serve as a scaffold for future inhibitor development and represents a chemical tool to study the therapeutic implication of inhibiting Spns2.

Forgotten Natural Products: Semisynthetic Development of Blasticidin S As an Antibiotic Lead.

Forgotten natural products offer value as antimicrobial scaffolds, providing diverse mechanisms of action that complement existing antibiotic classes. This study focuses on the derivatization of the cytotoxin blasticidin S, seeking to leverage its unique ribosome inhibition mechanism. Despite its complex zwitterionic properties, a selective protection and amidation strategy enabled the creation of a library of blasticidin S derivatives including the natural product P10. The amides exhibited significantly increased activity against Gram-positive bacteria and enhanced specificity for pathogenic bacteria over human cells. Molecular docking and computational property analysis suggested variable binding poses and indicated a potential correlation between cLogP values and activity. This work demonstrates how densely functionalized forgotten antimicrobials can be straightforwardly modified, enabling the further development of blasticidin S derivatives as lead compounds for a novel class of antibiotics.

An international consensus on effective, inclusive, and career-spanning short-format training in the life sciences and beyond.

Science, technology, engineering, mathematics, and medicine (STEMM) fields change rapidly and are increasingly interdisciplinary. Commonly, STEMM practitioners use short-format training (SFT) such as workshops and short courses for upskilling and reskilling, but unaddressed challenges limit SFT's effectiveness and inclusiveness. Education researchers, students in SFT courses, and organizations have called for research and strategies that can strengthen SFT in terms of effectiveness, inclusiveness, and accessibility across multiple dimensions. This paper describes the project that resulted in a consensus set of 14 actionable recommendations to systematically strengthen SFT. A diverse international group of 30 experts in education, accessibility, and life sciences came together from 10 countries to develop recommendations that can help strengthen SFT globally. Participants, including representation from some of the largest life science training programs globally, assembled findings in the educational sciences and encompassed the experiences of several of the largest life science SFT programs. The 14 recommendations were derived through a Delphi method, where consensus was achieved in real time as the group completed a series of meetings and tasks designed to elicit specific recommendations. Recommendations cover the breadth of SFT contexts and stakeholder groups and include actions for instructors (e.g., make equity and inclusion an ethical obligation), programs (e.g., centralize infrastructure for assessment and evaluation), as well as organizations and funders (e.g., professionalize training SFT instructors; deploy SFT to counter inequity). Recommendations are aligned with a purpose-built framework-"The Bicycle Principles"-that prioritizes evidenced-based teaching, inclusiveness, and equity, as well as the ability to scale, share, and sustain SFT. We also describe how the Bicycle Principles and recommendations are consistent with educational change theories and can overcome systemic barriers to delivering consistently effective, inclusive, and career-spanning SFT.

Identification of the functional PD-L1 interface region responsible for PD-1 binding and initiation of PD-1 signaling.

The PD-1/PD-L1 checkpoint pathway is important for regulating immune responses and can be targeted by immunomodulatory drugs to treat a variety of immune disorders. However, the precise protein-protein interactions required for the initiation of PD-1/PD-L1 signaling are currently unknown. Previously, we designed a series of first-generation PD-1 targeting peptides based on the native interface region of programmed death ligand 1 (PD-L1) that effectively reduced PD-1/PD-L1 binding. In this work, we further characterized the previously identified lead peptide, MN1.1, to identify key PD-1 binding residues and design an optimized peptide, MN1.4. We show MN1.4 is significantly more stable than MN1.1 in serum and retains the ability to block PD-1/PD-L1 complex formation. We further characterized the immunomodulatory effects of MN1.4 treatment by measuring markers of T cell activation in a co-culture model with ovarian cancer cells and peripheral blood mononuclear cells. We found MN1.4 treatment reduced cytokine secretion and suppressed T cell responses in a similar manner as recombinant PD-L1. Therefore, the PD-L1 interface region used to design MN1.4 appeared sufficient to initiate PD-1 signaling and likely represents the minimum necessary region of PD-L1 required for PD-1 recognition. We propose a peptide agonist for PD-1, such as MN1.4, could have several applications for treating autoimmune disorders caused by PD-1 deficiencies such as type 1 diabetes, inflammatory arthritis, or autoimmune side effects arising from monoclonal antibody-based cancer immunotherapies.

Data Driven Computational Design and Experimental Validation of Drugs for Accelerated Mitigation of Pandemic-like Scenarios.

Emerging pathogens are a historic threat to public health and economic stability. Current trial-and-error approaches to identify new therapeutics are often ineffective due to their inefficient exploration of the enormous small molecule design space. Here, we present a data-driven computational framework composed of hybrid evolutionary algorithms for evolving functional groups on existing drugs to improve their binding affinity toward the main protease (Mpro) of SARS-CoV-2. We show that combinations of functional groups and sites are critical to design drugs with improved binding affinity, which can be easily achieved using our framework by exploring a fraction of the available search space. Atomistic simulations and experimental validation elucidate that enhanced and prolonged interactions between functionalized drugs and Mpro residues result in their improved therapeutic value over that of the parental compound. Overall, this novel framework is extremely flexible and has the potential to rapidly design inhibitors for any protein with available crystal structures.

Low-Dose Naltrexone (LDN) for Chronic Pain at a Single Institution: A Case Series.

Purpose: Low-dose naltrexone (LDN) has increased in popularity as a non-opioid medication that may decrease chronic pain symptoms. LDN is most commonly used to treat fibromyalgia, complex regional pain syndrome (CRPS), and painful diabetic neuropathy. Other studies suggest that LDN provides general symptom reduction in inflammatory conditions such as Crohn's disease and multiple sclerosis. We reviewed our experience with patients to whom we have prescribed LDN to see what types of painful conditions were most responsive to LDN in our patient population. Patients and Methods: Charts from patients who came to the Pain Center between 2014 and 2021 were reviewed. Results: Of the n = 137 patients who were prescribed LDN, 44% had no evidence of ever filling the prescription, and 4.4% of the responses were not charted. Of the remaining who took LDN (n = 70), 64% had some relief and were designated as 'Responders'. The most common pain diagnosis was neuropathic pain which, when added to the diagnosis of complex regional pain syndrome, accounted for 51% of responders to LDN. Patients who experienced greater than 50% pain relief from LDN were more likely to have the diagnosis of neuropathic pain or complex regional pain syndrome (p = 0.038, Fisher's Exact Test). There was a significant difference in the diagnosis of patients who responded to LDN. Patients with spondylosis were much less likely to respond to LDN when compared with other diagnoses (p = 0.00435, Chi-Square Test). Conclusion: Patients with all types of neuropathic pain, including CRPS, were significantly more likely to have pain relief from LDN than patients with spondylosis (p=0.018). The diagnosis of spondylosis was more often associated with a lack of response to LDN than any other diagnosis. Patients may need to have a trial of several weeks before analgesic effects are seen with LDN.

Equity Implications of Ride-Hail Travel during COVID-19 in California.

COVID-19 has shocked every system in the U.S., including transportation. In the first months of the pandemic, driving and transit use fell far below normal levels. Yet people still need to travel for essential purposes like medical appointments, buying groceries, and-for those who cannot work from home-to work. For some, the pandemic may exacerbate extant travel challenges as transit agencies reduce service hours and frequency. As travelers reevaluate modal options, it remains unclear how one mode-ride-hailing-fits into the transportation landscape during COVID-19. In particular, how does the number of ride-hail trips vary across neighborhood characteristics before versus during the pandemic? And how do patterns of essential trips pre-pandemic compare with those during COVID-19? To answer these questions, we analyzed aggregated Uber trip data before and during the first two months of the COVID-19 pandemic across four regions in California. We find that during these first months, ride-hail trips fell at levels commensurate with transit (82%), while trips serving identified essential destinations fell by less (62%). Changes in ride-hail use were unevenly distributed across neighborhoods, with higher-income areas and those with more transit commuters and higher shares of zero-car households showing steeper declines in the number of trips made during the pandemic. Conversely, neighborhoods with more older (aged 45+) residents, and a greater proportion of Black, Hispanic/Latinx, and Asian residents still appear to rely more on ride-hail during the pandemic compared with other neighborhoods. These findings further underscore the need for cities to invest in robust and redundant transportation systems to create a resilient mobility network.

The structural analysis of the periplasmic domain of Sinorhizobium meliloti chemoreceptor McpZ reveals a novel fold and suggests a complex mechanism of transmembrane signaling.

Chemotaxis is a fundamental process whereby bacteria seek out nutrient sources and avoid harmful chemicals. For the symbiotic soil bacterium Sinorhizobium meliloti, the chemotaxis system also plays an essential role in the interaction with its legume host. The chemotactic signaling cascade is initiated through interactions of an attractant or repellent compound with chemoreceptors or methyl-accepting chemotaxis proteins (MCPs). S. meliloti possesses eight chemoreceptors to mediate chemotaxis. Six of these receptors are transmembrane proteins with periplasmic ligand-binding domains (LBDs). The specific functions of McpW and McpZ are still unknown. Here, we report the crystal structure of the periplasmic domain of McpZ (McpZPD) at 2.7 Å resolution. McpZPD assumes a novel fold consisting of three concatenated four-helix bundle modules. Through phylogenetic analyses, we discovered that this helical tri-modular domain fold arose within the Rhizobiaceae family and is still evolving rapidly. The structure, offering a rare view of a ligand-free dimeric MCP-LBD, reveals a novel dimerization interface. Molecular dynamics calculations suggest ligand binding will induce conformational changes that result in large horizontal helix movements within the membrane-proximal domains of the McpZPD dimer that are accompanied by a 5 Å vertical shift of the terminal helix toward the inner cell membrane. These results suggest a mechanism of transmembrane signaling for this family of MCPs that entails both piston-type and scissoring movements. The predicted movements terminate in a conformation that closely mirrors those observed in related ligand-bound MCP-LBDs.

The E2 glycoprotein holds key residues for Mayaro virus adaptation to the urban Aedes aegypti mosquito.

Adaptation to mosquito vectors suited for transmission in urban settings is a major driver in the emergence of arboviruses. To better anticipate future emergence events, it is crucial to assess their potential to adapt to new vector hosts. In this work, we used two different experimental evolution approaches to study the adaptation process of an emerging alphavirus, Mayaro virus (MAYV), to Ae. aegypti, an urban mosquito vector of many other arboviruses. We identified E2-T179N as a key mutation increasing MAYV replication in insect cells and enhancing transmission after escaping the midgut of live Ae. aegypti. In contrast, this mutation decreased viral replication and binding in human fibroblasts, a primary cellular target of MAYV in humans. We also showed that MAYV E2-T179N generates reduced viremia and displays less severe tissue pathology in vivo in a mouse model. We found evidence in mouse fibroblasts that MAYV E2-T179N is less dependent on the Mxra8 receptor for replication than WT MAYV. Similarly, exogenous expression of human apolipoprotein receptor 2 and Mxra8 enhanced WT MAYV replication compared to MAYV E2-T179N. When this mutation was introduced in the closely related chikungunya virus, which has caused major outbreaks globally in the past two decades, we observed increased replication in both human and insect cells, suggesting E2 position 179 is an important determinant of alphavirus host-adaptation, although in a virus-specific manner. Collectively, these results indicate that adaptation at the T179 residue in MAYV E2 may result in increased vector competence-but coming at the cost of optimal replication in humans-and may represent a first step towards a future emergence event.

Preemptive treatment of de novo donor-specific antibodies in lung transplant patients reduces subsequent risk of chronic lung allograft dysfunction or death.

The development of donor-specific antibodies after lung transplantation is associated with downstream acute cellular rejection, antibody-mediated rejection (AMR), chronic lung allograft dysfunction (CLAD), or death. It is unknown whether preemptive (early) treatment of de novo donor-specific antibodies (dnDSAs), in the absence of clinical signs and symptoms of allograft dysfunction, reduces the risk of subsequent CLAD or death. We performed a multicenter, retrospective cohort study to determine if early treatment of dnDSAs in lung transplant patients reduces the risk of the composite endpoint of CLAD or death. In the cohort of 445 patients, 145 patients developed dnDSAs posttransplant. Thirty patients received early targeted treatment for dnDSAs in the absence of clinical signs and symptoms of AMR. Early treatment of dnDSAs was associated with a decreased risk of CLAD or death (hazard ratio, 0.36; 95% confidence interval, 0.17-0.76; P < .01). Deferring treatment until the development of clinical AMR was associated with an increased risk of CLAD or death (hazard ratio, 3.00; 95% confidence interval, 1.46-6.18; P < .01). This study suggests that early, preemptive treatment of donor-specific antibodies in lung transplant patients may reduce the subsequent risk of CLAD or death.

Pain Medicine Milestones 2.0: a step into the future.

OBJECTIVE: To describe the process of revising the Pain Medicine Milestones 1.0 and implementing changes into the Pain Medicine Milestones 2.0 along with implications for pain medicine trainees. BACKGROUND: Competency-based medical education has been implemented in graduate medical education, including pain medicine. Milestones 1.0, introduced by the Accreditation Council for Graduate Medical Education (ACGME), has been used to assess learners in six competencies and respective sub-competencies. Recognizing areas for improvement in Milestones 1.0, the ACGME initiated the process of Milestones 2.0 and a working group was created to execute this task for pain medicine. The working group discussed revisions; consensus was sought when changes were introduced. Final milestones were agreed upon and made available for public comment prior to publication. RESULTS: Redundant sub-competencies were either merged or eliminated, reducing the number of sub-competencies. A maximum of three rows representing skill, knowledge, behavior and attitude were included for each sub-competency. Harmonized Milestones, aligning with other specialties in a predetermined ACGME framework, were adopted and modified to meet the needs of pain medicine. A supplemental guide was developed to assist educators in implementation of Milestones 2.0 and assessment of trainees. CONCLUSIONS: The intent of the Milestones 2.0 was to create an improved tool that is comprehensive, easier to utilize, and of increased value for pain medicine training programs. It is expected that implementation of Milestones 2.0 will streamline pain medicine trainee assessments by educators and prepare trainees for the future practice of pain medicine while serving to be the foundation of an iterative process to match the evolution of the specialty.

Pain experiences among those living with hidradenitis suppurativa: a qualitative study.

BACKGROUND: Pain is rated by patients with hidradenitis suppurativa (HS) as the disease's most impactful symptom. HS therapies are often insufficient to control inflammatory disease activity and pain. A better understanding of patient experiences with pain may improve patient-provider relationships and help identify strategies for addressing HS pain. OBJECTIVES: This qualitative study sought to characterize lived pain experiences of those with HS. METHODS: English-speaking patients ≥ 18 years old with a dermatologist-confirmed diagnosis of HS and an average numerical rating scale pain score of ≥ 1 over the preceding week were recruited from a single academic medical centre in Atlanta, Georgia, USA. Semistructured interviews were conducted from November 2019 to March 2020 to explore participants' HS pain experiences and the subsequent impact on their lives. Thematic saturation was reached after interviewing 21 participants. Interviews were audio recorded, transcribed, and analysed using thematic analysis. RESULTS: Among 21 study participants, the median 7-day average pain score was 6 (interquartile range 3-7; scale ranges from 0 to 10, with 10 being most pain). Participants' descriptions of pain were consistent with nociceptive pain, neuropathic pain and itch. Pain impacted multiple life domains, including physical limitations (decreased mobility and impaired sleep), decreased psychological wellbeing (irritability, depression, loss of control, and difficulty communicating pain experiences) and impaired social relationships (social isolation, intimacy problems and difficulty fulfilling social responsibilities). Although participants reported chronic discomfort, acutely painful and unpredictable HS disease flares caused more distress and quality-of-life (QoL) burden. Participants frequently treated their pain without input from the medical team, sometimes with unsafe medication doses or combinations. Factors contributing to self-management of pain included difficulty accessing timely outpatient care during disease flares and fear of stigma from healthcare providers. CONCLUSIONS: When present, HS-related pain may impact not only physical wellbeing but also mental health and relationships. In addition to therapies that target the inflammatory disease burden, treating the symptom of pain may improve patients' QoL and wellbeing. Because patients with HS have difficulty explaining their pain, proactively asking them about pain may identify unmet needs, facilitate better pain control and improve QoL. Further, the influence of HS-related pain on numerous aspects of QoL suggests the need for multidisciplinary, patient-centred approaches to HS pain management.

#ChronicPain: Automated Building of a Chronic Pain Cohort from Twitter Using Machine Learning.

Background: Due to the high burden of chronic pain, and the detrimental public health consequences of its treatment with opioids, there is a high-priority need to identify effective alternative therapies. Social media is a potentially valuable resource for knowledge about self-reported therapies by chronic pain sufferers. Methods: We attempted to (a) verify the presence of large-scale chronic pain-related chatter on Twitter, (b) develop natural language processing and machine learning methods for automatically detecting self-disclosures, (c) collect longitudinal data posted by them, and (d) semiautomatically analyze the types of chronic pain-related information reported by them. We collected data using chronic pain-related hashtags and keywords and manually annotated 4,998 posts to indicate if they were self-reports of chronic pain experiences. We trained and evaluated several state-of-the-art supervised text classification models and deployed the best-performing classifier. We collected all publicly available posts from detected cohort members and conducted manual and natural language processing-driven descriptive analyses. Results: Interannotator agreement for the binary annotation was 0.82 (Cohen's kappa). The RoBERTa model performed best (F1 score: 0.84; 95% confidence interval: 0.80 to 0.89), and we used this model to classify all collected unlabeled posts. We discovered 22,795 self-reported chronic pain sufferers and collected over 3 million of their past posts. Further analyses revealed information about, but not limited to, alternative treatments, patient sentiments about treatments, side effects, and self-management strategies. Conclusion: Our social media based approach will result in an automatically growing large cohort over time, and the data can be leveraged to identify effective opioid-alternative therapies for diverse chronic pain types.

Clinical Oncology Nurse Best Practices: Palliative Care and End-of-Life Conversations.

BACKGROUND: Clinical oncology nurses (CONs) support and guide patients and caregivers by encouraging open dialogue and using effective communication skills. Palliative care (PC) and preparing for the end of life require that CONs apply experienced communication skills that are focused, nuanced, and helpful. OBJECTIVES: The aim of this article is to review communication methods and competencies, which can contribute to a best practices foundation for PC-focused conversations with patients and caregivers. METHODS: Expert CONs provided case studies and responded to clinical scenarios, which illustrated and highlighted communication competencies as applied to PC-focused conversations. FINDINGS: To establish communication competencies applied during PC-focused conversations with patients and caregivers, CONs can develop, enhance, and apply timely and effective communication skills in clinical oncology practice. To build a foundation for PC-focused communication competencies, nurses can access PC and communication skill resources, including mentoring by expert interprofessional practitioners from PC teams.

Sphingosine Kinase 2 Inhibitors: Rigid Aliphatic Tail Derivatives Deliver Potent and Selective Analogues.

Sphingosine 1-phosphate (S1P) is a pleiotropic signaling molecule that interacts with five native G-protein coupled receptors (S1P1-5) to regulate cell growth, survival, and proliferation. S1P has been implicated in a variety of pathologies including cancer, kidney fibrosis, and multiple sclerosis. As key mediators in the synthesis of S1P, sphingosine kinase (SphK) isoforms 1 and 2 have attracted attention as viable targets for pharmacologic intervention. In this report, we describe the design, synthesis, and biological evaluation of sphingosine kinase 2 (SphK2) inhibitors with a focus on systematically introducing rigid structures in the aliphatic lipid tail present in existing SphK2 inhibitors. Experimental as well as molecular modeling studies suggest that conformationally restricted "lipophilic tail" analogues bearing a bulky terminal moiety or an internal phenyl ring are useful to complement the "J"-shaped sphingosine binding pocket of SphK2. We identified 14c (SLP9101555) as a potent SphK2 inhibitor (K i = 90 nM) with 200-fold selectivity over SphK1. Molecular docking studies indicated key interactions: the cyclohexyl ring binding in the cleft deep in the pocket, a trifluoromethyl group fitting in a small side cavity, and a hydrogen bond between the guanidino group and Asp308 (amino acid numbering refers to human SphK2 (isoform c) orthologue). In vitro studies using U937 human histiocytic lymphoma cells showed marked decreases in extracellular S1P levels in response to our SphK2 inhibitors. Administration of 14c (dose: 5 mg/kg) to mice resulted in a sustained increase of circulating S1P levels, suggesting target engagement.

All-cause mortality in cancer patients treated for sepsis in intensive care units: a systematic review and meta-analysis.

PURPOSE: Sepsis is a common complication in patients with cancer, but studies evaluating the outcomes of critically ill cancer patients with sepsis on a global scale are limited. We aimed to summarize the existing evidence on mortality rates in this patient population. METHODS: Prospective and retrospective observational studies evaluating critically ill adult cancer patients with sepsis, severe sepsis, and/or septic shock were included. Studies published from January 2010 to September 2021 that reported at least one mortality outcome were retrieved from MEDLINE (Ovid), Embase (Ovid), and Cochrane databases. Study selection, bias assessment, and data collection were performed independently by two reviewers, and any discrepancies were resolved by a third reviewer. The risk of bias was assessed using the Newcastle-Ottawa scale. We calculated pooled intensive care unit (ICU), hospital, and 28/30-day mortality rates. The heterogeneity of the data was tested using the chi-square test, with a P value < 0.10 indicating significant heterogeneity. RESULTS: A total of 5464 citations were reviewed, of which 10 studies met the inclusion criteria; these studies included 6605 patients. All studies had a Newcastle-Ottawa scale score of 7 or higher. The mean patient age ranged from 51.4 to 64.9 years. The pooled ICU, hospital, and 28/30 day mortality rates were 48% (95% CI, 43- 53%; I2 = 80.6%), 62% (95% CI, 58-67%; I2 = 0%), and 50% (95% CI, 38- 62%; I2 = 98%), respectively. Substantial between-study heterogeneity was observed. CONCLUSION: Critically ill cancer patients with sepsis had poor survival, with a hospital mortality rate of about two-thirds. The substantial observed heterogeneity among studies could be attributed to variability in the criteria used to define sepsis as well as variability in treatment, the severity of illness, and care across settings. Our results are a call to action to identify strategies that improve outcomes for cancer patients with sepsis.

A Systematic Review and Meta-Analysis Evaluating Geographical Variation in Outcomes of Cancer Patients Treated in ICUs.

The reported mortality rates of cancer patients admitted to ICUs vary widely. In addition, there are no studies that examined the outcomes of critically ill cancer patients based on the geographical regions. Therefore, we aimed to evaluate the mortality rates among critically ill cancer patients and provide a comparison based on geography. DATA SOURCES: PubMed, EMBASE, and Web of Science. STUDY SELECTION: We included observational studies evaluating adult patients with cancer treated in ICUs. We excluded non-English studies, those with greater than 30% hematopoietic stem cell transplant or postsurgical patients, and those that evaluated a specific type of critical illness, stage of malignancy, or age group. DATA EXTRACTION: Two reviewers independently applied eligibility criteria, assessed quality, and extracted data. Studies were classified based on the continent in which they were conducted. Primary outcomes were ICU and hospital mortality. We pooled effect sizes by geographical region. DATA SYNTHESIS: Forty-six studies were included (n = 110,366). The overall quality of studies was moderate. Most of the published literature was from Europe (n = 22), followed by North America (n = 9), Asia (n = 8), South America (n = 5), and Oceania (n = 2). Pooled ICU mortality rate was 38% (95% CI, 33-43%); the lowest mortality rate was in Oceania (26%; 95% CI, 22-30%) and highest in Asia (51%; 95% CI, 44-57%). Pooled hospital mortality rate was 45% (95% CI, 41-49%), with the lowest in North America (37%; 95% CI, 31-43%) and highest in Asia (54%; 95% CI, 37-71%). CONCLUSIONS: More than half of cancer patients admitted to ICUs survived hospitalization. However, there was wide variability in the mortality rates, as well as the number of available studies among geographical regions. This variability suggests an opportunity to improve outcomes worldwide, through optimizing practice and research.

The COVID-19 Pandemic and Transition to Digital Health in Clinical Oncology Care.

BACKGROUND: Clinical oncology care is complex, and new technologies can improve efficiency, contribute to safe treatment delivery, and enhance care for the patient. The COVID-19 pandemic prompted a shift to the use of digital health technologies to provide care. Oncology care providers can ensure that technology is integrated with the patient's plan of care. OBJECTIVES: The aims of this review were to provide a survey of digital health technologies in oncology care and changes in practice resulting from the pandemic, as well as to highlight oncology nurses' and nursing leaders' roles in promoting digital health technology in clinical practice. METHODS: Current and emerging literature, frameworks, and real-world experiences were reviewed to provide an overview of digital health technology in oncology care. FINDINGS: Digital health technology has become an integral tool for the oncology care team and provides opportunities to improve the lives of patients. The pandemic accelerated the adoption of technology to provide safe and effective care. Oncology nurses play a role in identifying patients' needs and developing and implementing care strategies.

Post-Concussive Orthostatic Tachycardia is Distinct from Postural Orthostatic Tachycardia Syndrome (POTS) in Children and Adolescents.

Background: Orthostatic tachycardia (OT) affects some patients after concussion/mild traumatic brain injury (mTBI). In this study, we sought to identify the factors associated with increased risk for OT in patients with mTBI. Methods: We conducted a retrospective review of 268 patients (8-25 years) with mTBI/concussion to determine the prevalence of OT, defined as orthostatic heart rate change ≥40 bpm for those ≤19 years of age and ≥30 bpm on active standing test for those >19 years of age. Results: Among the study population, 7% (n = 19) exhibited post-concussive OT. The only significant difference between OT and non-OT groups was that history of prior concussion was more prevalent in the OT group. Conclusion: A substantial subset (7%) of concussion clinic patients exhibit OT. While POTS literature describes female and adolescent predominance, post-concussive OT had similar prevalence across age and gender groups in this study, suggesting that it may be distinct from POTS.