Efficacy of providing energy expenditure information to guide weight loss interventions in people with obesity: A randomized controlled trial.

Resting energy expenditure (REE) and metabolic fuel utilization (carbohydrate or fat) proxied by respiratory quotient (RQ) from indirect calorimetry enables more precise measurement of energy needs and fat oxidation capacity. The study compared the effectiveness of providing energy expenditure information during diet and exercise weight intervention versus standard of care (SOC) on weight loss outcomes. Fifty-two participants with obesity were recruited from a specialist weight loss service, randomized 1:1 to intervention (INT) or SOC only. Participants in INT received four-weekly dietetic counselling, using biofeedback from energy expenditure data to recommend caloric restriction and physical activity goals, in addition to SOC. The primary outcome was the mean difference in weight loss between both groups after 24 weeks. Secondary outcomes include participant acceptability and tolerability using indirect calorimetry. Participants in the INT group demonstrated additional weight loss (-2.3 kg [95% CI: -3.1, -1.5]; p <.001), reduced waist circumference (-3.9 cm [95% CI: -5.48, -2.26]; p <.001), and decreased body fat percentage (-1.5% [95% CI:-2.31, -0.72], p <.001), compared to SOC, after adjusting for baseline body mass index, age, and sex. Forty-two percent (10/24) of participants in INT group achieved the minimum clinically significant threshold of 5% weight loss from baseline, compared to 8% (2/26) in the SOC group (p = .007). Participant acceptability and tolerability of indirect calorimetry were high, with mean scores of 4.5 ± 0.6 and 4.2 ± 0.7 (5-point Likert scale). The study establishes the safety and practical integration of biofeedback using indirect calorimetry promoting improved self-regulation and enhancing weight loss.

Germline genetic variants that predispose to myeloproliferative neoplasms and hereditary myeloproliferative phenotypes.

Epidemiological evidence of familial predispositions to myeloid malignancies and myeloproliferative neoplasms (MPN) has long been recognised, but recent studies have added to knowledge of specific germline variants in multiple genes that contribute to the familial risk. These variants may be common risk alleles in the general population but have low penetrance and cause sporadic MPN, such as the JAK2 46/1 haplotype, the variant most strongly associated with MPN. Association studies are increasingly identifying other MPN susceptibility genes such as TERT, MECOM, and SH2B3, while some common variants in DDX41 and RUNX1 appear to lead to a spectrum of myeloid malignancies. RBBP6 and ATM variants have been identified in familial MPN clusters and very rare germline variants such as chromosome 14q duplication cause hereditary MPN with high penetrance. Rarely, there are hereditary non-malignant diseases with an MPN-like phenotype. Knowledge of those genes and germline genetic changes which lead to MPN or diseases that mimic MPN helps to improve accuracy of diagnosis, aids with counselling regarding familial risk, and may contribute to clinical decision-making. Large scale population exome and genome sequencing studies will improve our knowledge of both common and rare germline genetic contributions to MPN.

Characteristics and real-world outcomes of patients with epithelial ovarian cancer who received niraparib plus bevacizumab first-line maintenance therapy in the COMB1NE study.

OBJECTIVE: In the phase 2 OVARIO trial (NCT03326193) investigating niraparib-bevacizumab first-line maintenance, median progression-free survival was 14.2 months (95% confidence interval (CI) 8.6 to 16.8) for patients with homologous recombination (HR)-proficient (HRp) epithelial ovarian cancer, and 12.1 months (95% CI8.0-not evaluated) for patients with undefined HR status. However, real-world data are limited for patients who receive niraparib-bevacizumab first-line maintenance therapy. The COMB1NE study describes real-world clinical outcomes (time to treatment discontinuation; time to next treatment) in patients with epithelial ovarian cancer who received niraparib-bevacizumab first-line maintenance, regardless of first-line bevacizumab use. METHODS: This real-world, retrospective study used a US nationwide electronic health record-derived deidentified database. Eligible patients were 18 years or older at initial epithelial ovarian cancer diagnosis and initiated niraparib-bevacizumab first-line maintenance (January 1, 2017-September 2, 2022) following first-line treatment. The index date was the start of first-line maintenance. Patients were followed until death, last clinical activity, or end of study, whichever occurred first. Time to treatment discontinuation and time to next treatment, a proxy for real-world progression-free survival, were estimated using the Kaplan-Meier method. RESULTS: Among 59 included patients, the median age was 67 years (interquartile range (IQR) 61-76), and 81.4% had stage III/IV epithelial ovarian cancer at diagnosis. Overall, 83.1% of patients had BRCA wild-type with either HRp or HR status unknown disease. Median time to treatment discontinuation of first-line maintenance was 11.8 months (95% CI 8.7 to 13.5). Median time to next treatment was 14.1 months (95% CI 11.3 to 16.6). At 6 months after index, 77.9% of patients had not initiated second-line treatment; at 12 months, 61.3% had not. CONCLUSION: In this real-world study of patients receiving niraparib-bevacizumab first-line maintenance, the majority of whom had HRp/HR status unknown, the median time to next treatment was consistent with observed progression-free survival in patients with similar HR status in the OVARIO study.

Training and validation of a deep learning U-net architecture general model for automated segmentation of inner ear from CT.

BACKGROUND: The intricate three-dimensional anatomy of the inner ear presents significant challenges in diagnostic procedures and critical surgical interventions. Recent advancements in deep learning (DL), particularly convolutional neural networks (CNN), have shown promise for segmenting specific structures in medical imaging. This study aimed to train and externally validate an open-source U-net DL general model for automated segmentation of the inner ear from computed tomography (CT) scans, using quantitative and qualitative assessments. METHODS: In this multicenter study, we retrospectively collected a dataset of 271 CT scans to train an open-source U-net CNN model. An external set of 70 CT scans was used to evaluate the performance of the trained model. The model's efficacy was quantitatively assessed using the Dice similarity coefficient (DSC) and qualitatively assessed using a 4-level Likert score. For comparative analysis, manual segmentation served as the reference standard, with assessments made on both training and validation datasets, as well as stratified analysis of normal and pathological subgroups. RESULTS: The optimized model yielded a mean DSC of 0.83 and achieved a Likert score of 1 in 42% of the cases, in conjunction with a significantly reduced processing time. Nevertheless, 27% of the patients received an indeterminate Likert score of 4. Overall, the mean DSCs were notably higher in the validation dataset than in the training dataset. CONCLUSION: This study supports the external validation of an open-source U-net model for the automated segmentation of the inner ear from CT scans. RELEVANCE STATEMENT: This study optimized and assessed an open-source general deep learning model for automated segmentation of the inner ear using temporal CT scans, offering perspectives for application in clinical routine. The model weights, study datasets, and baseline model are worldwide accessible. KEY POINTS: A general open-source deep learning model was trained for CT automated inner ear segmentation. The Dice similarity coefficient was 0.83 and a Likert score of 1 was attributed to 42% of automated segmentations. The influence of scanning protocols on the model performances remains to be assessed.

Patient Characteristics Associated with Time to Next Treatment in Patients with Ovarian Cancer Treated with Niraparib: The PRED1CT Real-World Study.

INTRODUCTION: Niraparib first-line maintenance (1LM) therapy has demonstrated clinical benefit for patients with ovarian cancer (OC) in clinical trial and real-world settings, but data on factors associated with real-world patient outcomes remain limited. This analysis identified patient characteristics associated with time to next treatment (TTNT), a proxy for real-world progression-free survival, in patients with OC treated with 1LM niraparib monotherapy. METHODS: This retrospective observational study used a USA nationwide electronic health record-derived deidentified database and included adult patients diagnosed with OC who initiated 1LM niraparib monotherapy after first-line platinum-based chemotherapy. Patients were followed until the earliest occurrence of last clinical activity, death, or end of study period. TTNT was measured from 1LM niraparib initiation to the start of second-line treatment or death. Cox proportional hazards models assessed univariable and multivariable associations between baseline characteristics and TTNT. RESULTS: Of 7872 patients diagnosed with OC, 526 met the eligibility criteria and were included in this analysis. Median (IQR) duration of follow-up was 14.1 (7.4-23.6) months. In univariable analyses, age, BRCA/homologous recombination deficiency (HRD) status, socioeconomic status, stage at initial diagnosis, cytoreductive surgery type, and residual disease status were significantly associated with observed TTNT and were introduced into the multivariable model with other clinically relevant variables. In the multivariable analysis, BRCA/HRD status, cytoreductive surgery type, and residual disease status were significantly associated with observed TTNT after covariate adjustment. Conversely, age, Eastern Cooperative Oncology Group performance status, disease stage, niraparib starting dose status, and first-line bevacizumab use were not associated with observed TTNT. CONCLUSION: This real-world, retrospective, observational analysis offers valuable insights on prognostic factors associated with TTNT in patients with OC treated with 1LM niraparib monotherapy after first-line platinum-based chemotherapy. Future studies are needed to examine how additional patient characteristics associated with clinical outcomes may guide treatment decisions and improve outcomes.

The use of technology in type 2 diabetes and prediabetes: a narrative review.

The increasing incidence of type 2 diabetes, which represents 90% of diabetes cases globally, is a major public health concern. Improved glucose management reduces the risk of vascular complications and mortality; however, only a small proportion of the type 2 diabetes population have blood glucose levels within the recommended treatment targets. In recent years, diabetes technologies have revolutionised the care of people with type 1 diabetes, and it is becoming increasingly evident that people with type 2 diabetes can also benefit from these advances. In this review, we describe the current knowledge regarding the role of technologies for people living with type 2 diabetes and the evidence supporting their use in clinical practice. We conclude that continuous glucose monitoring systems deliver glycaemic benefits for individuals with type 2 diabetes, whether treated with insulin or non-insulin therapy; further data are required to evaluate the role of these systems in those with prediabetes (defined as impaired glucose tolerance and/or impaired fasting glucose and/or HbA1c levels between 39 mmol/mol [5.7%] and 47 mmol/mol [6.4%]). The use of insulin pumps seems to be safe and effective in people with type 2 diabetes, especially in those with an HbA1c significantly above target. Initial results from studies exploring the impact of closed-loop systems in type 2 diabetes are promising. We discuss directions for future research to fully understand the potential benefits of integrating evidence-based technology into care for people living with type 2 diabetes and prediabetes.

Using a Chat-Based Trivia Activity to Foster Community in Residency.

OBJECTIVES: For residency programs rotating at multiple sites, building a strong community can be challenging when house staff are geographically separated. Medical educators have had widespread use of technology to create virtual classrooms, discussion boards, and other activities. Less is known, however, about smaller-scale use of technology such as longitudinal use of chat to engage learners. We developed a chat-based trivia activity using social media tools to promote learning, community, and belonging in a large multisite residency program. METHODS: Residents in our large academic program were invited to participate in a question-based activity called Internal Medicine Trivia Thursdays (IMTT) via the chat application GroupMe. Three to five questions were asked of all of the participants using a multimedia format. Question content included topics from the residency didactic curriculum and trivia about program leadership. A voluntary, anonymous survey on the effect of the activity on learning and belonging was sent to all of the residents at the end of the academic year. RESULTS: Of the 224 residents, there were 48 survey respondents (21.4% response rate). When asked about overall satisfaction with the program, 43.8% (21/48) of all of the respondents reported feeling "somewhat satisfied" or "very satisfied." Residents who frequently participated in Internal Medicine Trivia Thursdays experienced greater excitement about learning and a greater sense of community compared with those with infrequent to no participation. CONCLUSIONS: Our intervention used a theoretical framework of connectivism to design a virtual learning activity to engage residents, as well as to foster community among residents and between residents and program leadership. We believe this virtual learning experience is low cost and feasible, requiring mostly facilitator time. This study also contributes to the literature by evaluating outcomes related to social belonging and engagement. Future iterations should aim to optimize the methods of delivery by considering user-friendliness and the ability to opt out of the activity.

Real-World First-Line Maintenance Niraparib Monotherapy Use Following Chemotherapy Plus Bevacizumab: The SW1TCH Study.

INTRODUCTION: Clinical trials have demonstrated prolonged survival associated with niraparib first-line maintenance (1LM) therapy, compared with placebo, for patients with ovarian cancer (OC). However, data are limited on real-world 1LM niraparib monotherapy use, particularly as switch 1LM, following first-line (1L) combination chemotherapy plus bevacizumab. This real-world study aimed to describe patient demographics, clinical characteristics, and clinical outcomes of patients with OC receiving 1LM niraparib monotherapy following 1L combination chemotherapy plus bevacizumab. METHODS: This retrospective observational study used data from a US-based nationwide database of deidentified, electronic health record-derived data. Patients diagnosed with OC during the study period (1 January 2011-30 November 2022, inclusive) were eligible if they received 1L chemotherapy plus bevacizumab treatment followed by 1LM niraparib monotherapy, initiated between 1 January 2017 (inclusive) and 2 September 2022. Patients were followed from index date (initiation of niraparib 1LM) until the first occurrence of death, end of follow-up, or end of study. Clinical outcomes were time to treatment discontinuation (TTD) and time to next treatment (TTNT). Kaplan-Meier curves were used to estimate TTD, TTNT, and 95% confidence intervals (CIs). RESULTS: Among 93 patients selected, median age at index was 67 years (interquartile range [IQR] 60-72 years). Most patients had BRCA wild-type/homologous recombination (HR)-proficient or BRCA wild-type/HR unknown disease (75.3%). In all, 18 (19.4%) patients had HR-deficient disease. Five (5.4%) patients had unknown test results for both BRCA and HR deficiency status. Median follow-up time was 16.3 months (IQR 8.7-25.4 months), and median time from end of 1L therapy to 1LM initiation was 35.0 days (IQR 25.0-53.9 days). Median TTD was 9.3 months (95% CI 6.1-11.3 months). Median TTNT was 12.9 months (95% CI 11.5-19.0 months). CONCLUSIONS: This real-world study provided insights into switch maintenance with 1LM niraparib monotherapy, which may be a viable treatment option for patients with advanced OC.

The eEF2 kinase coordinates the DNA damage response to cisplatin by supporting p53 activation.

Eukaryotic elongation factor 2 (eEF2) kinase (eEF2K) is a stress-responsive hub that inhibits the translation elongation factor eEF2, and consequently mRNA translation elongation, in response to hypoxia and nutrient deprivation. EEF2K is also involved in the response to DNA damage but its role in response to DNA crosslinks, as induced by cisplatin, is not known. Here we found that eEF2K is critical to mediate the cellular response to cisplatin. We uncovered that eEF2K deficient cells are more resistant to cisplatin treatment. Mechanistically, eEF2K deficiency blunts the activation of the DNA damage response associated ATM and ATR pathways, in turn preventing p53 activation and therefore compromising induction of cisplatin-induced apoptosis. We also report that loss of eEF2K delays the resolution of DNA damage triggered by cisplatin, suggesting that eEF2K contributes to DNA damage repair in response to cisplatin. In support of this, our data shows that eEF2K promotes the expression of the DNA repair protein ERCC1, critical for the repair of cisplatin-caused DNA damage. Finally, using Caenorhabditis elegans as an in vivo model, we find that deletion of efk-1, the worm eEF2K ortholog, mitigates the induction of germ cell death in response to cisplatin. Together, our data highlight that eEF2K represents an evolutionary conserved mediator of the DNA damage response to cisplatin which promotes p53 activation to induce cell death, or alternatively facilitates DNA repair, depending on the extent of DNA damage.

Oral Microbiota Alterations in Subjects with SARS-CoV-2 Displaying Prevalence of the Opportunistic Fungal Pathogen Candida albicans.

The oral cavity remains an underappreciated site for SARS-CoV-2 infection despite the myriad of oral conditions in COVID-19 patients. Recently, SARS-CoV-2 was shown to replicate in the salivary gland cells causing tissue inflammation. Given the established association between inflammation and microbiome disruption, we comparatively profiled oral microbial differences at a metagenomic level in a cohort of hospitalized COVID-19 patients and matched healthy controls. Specifically, we aimed to evaluate colonization by the opportunistic fungal pathogen Candida albicans, the etiologic agent of oral candidiasis. Comprehensive shotgun metagenomic analysis indicated that, overall, COVID-19 patients exhibited significantly reduced bacterial and viral diversity/richness; we identified 12 differentially abundant bacterial species to be negatively associated with COVID-19, and the functional pathways of certain bacteria to be highly associated with COVID-19 status. Strikingly, C. albicans was recovered from approximately half of the COVID-19 subjects but not from any of the healthy controls. The prevalence of Candida is likely linked to immune hypo-dysregulation caused by COVID-19 favoring Candida proliferation, warranting investigations into the interplay between Candida and SARS-CoV2 and potential therapeutic approaches directed toward oral candidiasis. Collectively, our findings prompt a reassessment of oral opportunistic infection risks during COVID-19 disease and their potential long-term impacts on oral health.

Prescribers and patients drive maintenance therapy patterns in a community oncology practice: National guidelines versus the real-world experience.

Objective: Previous studies have shown that first-line (1L) maintenance therapy (MT) with poly(ADP-ribose) polymerase inhibitors and/or bevacizumab improves outcomes among patients with advanced ovarian cancer (OC); however, these treatments are underutilized. This study aimed to provide a real-world understanding of MTs among patients with advanced OC who received 1L platinum-based chemotherapy (PBC). Methods: A retrospective chart review using iKnowMed electronic health records to identify patients aged ≥18 years with advanced OC who initiated 1L PBC between January 1, 2018-December 31, 2020. Following 1L PBC, patients could have received MT or active surveillance (AS). Kaplan-Meier methods were used to estimate time to treatment discontinuation (TTD), real-world progression-free survival (rwPFS), and overall survival (OS). Results: Of the 600 chart-reviewed patients included, 239 (39.8 %) received MT and 315 (52.5 %) received AS. Patients who were <65 years of age, or those with higher-stage disease or those who had received neoadjuvant treatment, were more likely to initiate MT than AS. Genetic testing rates were low across both cohorts. Median (95 % confidence interval [CI]) TTD for the MT cohort was 13.6 months (11.0, 21.2). Median (95 % CI) rwPFS was 26.9 months (21.3, not reached) and 11.3 months (9.5, 13.0) for the 1L MT and AS cohorts, respectively (p < 0.0001). OS at 36 months was 82.4 % in the 1L MT cohort and 58.0 % in the 1L AS cohort. Conclusions: This study reinforces clinical trial findings that 1L MT improves outcomes in patients with advanced OC; however, genetic testing rates and 1L MT remained low.

mTORC1 regulates cell survival under glucose starvation through 4EBP1/2-mediated translational reprogramming of fatty acid metabolism.

Energetic stress compels cells to evolve adaptive mechanisms to adjust their metabolism. Inhibition of mTOR kinase complex 1 (mTORC1) is essential for cell survival during glucose starvation. How mTORC1 controls cell viability during glucose starvation is not well understood. Here we show that the mTORC1 effectors eukaryotic initiation factor 4E binding proteins 1/2 (4EBP1/2) confer protection to mammalian cells and budding yeast under glucose starvation. Mechanistically, 4EBP1/2 promote NADPH homeostasis by preventing NADPH-consuming fatty acid synthesis via translational repression of Acetyl-CoA Carboxylase 1 (ACC1), thereby mitigating oxidative stress. This has important relevance for cancer, as oncogene-transformed cells and glioma cells exploit the 4EBP1/2 regulation of ACC1 expression and redox balance to combat energetic stress, thereby supporting transformation and tumorigenicity in vitro and in vivo. Clinically, high EIF4EBP1 expression is associated with poor outcomes in several cancer types. Our data reveal that the mTORC1-4EBP1/2 axis provokes a metabolic switch essential for survival during glucose starvation which is exploited by transformed and tumor cells.

Generating an organ-deficient animal model using a multi-targeted CRISPR-Cas9 system.

Gene-knockout animal models with organ-deficient phenotypes used for blastocyst complementation are generally not viable. Animals need to be maintained as heterozygous mutants, and homozygous mutant embryos yield only one-fourth of all embryos. In this study, we generated organ-deficient embryos using the CRISPR-Cas9-sgRNAms system that induces cell death with a single-guide RNA (sgRNAms) targeting multiple sites in the genome. The Cas9-sgRNAms system interrupted cell proliferation and induced cell ablation in vitro. The mouse model had Cas9 driven by the Foxn1 promoter with a ubiquitous expression cassette of sgRNAms at the Rosa26 locus (Foxn1Cas9; Rosa26_ms). It showed an athymic phenotype similar to that of nude mice but was not hairless. Eventually, a rat cell-derived thymus in an interspecies chimera was generated by blastocyst complementation of Foxn1Cas9; Rosa26_ms mouse embryos with rat embryonic stem cells. Theoretically, a half of the total embryos has the Cas9-sgRNAms system because Rosa26_ms could be maintained as homozygous.

Effectiveness of integrating a pragmatic pathway for prescribing liraglutide 3.0 mg in weight management services (STRIVE study): a multicentre, open-label, parallel-group, randomized controlled trial.

Background: An effective prescribing pathway for liraglutide 3 mg, an approved obesity pharmacotherapy, may improve treatment access. This trial compared a targeted prescribing pathway for liraglutide 3 mg with multiple stopping rules in specialist weight management services (SWMS) to standard SWMS care. Methods: This phase four, two-year, multicentre, open-label, parallel-group, real-world randomized clinical trial (ClinicalTrials.gov: NCT03036800) enrolled adults with BMI ≥35 kg/m2 plus prediabetes, type 2 diabetes, hypertension or sleep apnoea from five SWMS in Ireland and UK. Participants were randomly allocated (2:1, stratified by centre and BMI) to SWMS care plus a targeted prescribing pathway for once daily subcutaneous liraglutide 3 mg (intervention) with stopping rules at 16 (≥5% weight loss, WL), 32 (≥10% WL) and 52 weeks (≥15% WL) or to SWMS care alone (control) through an online randomization service. The primary outcome was WL ≥15% at 52 weeks, assessed by complete cases analysis. All randomized participants were included in safety analysis. Findings: From November 28, 2017 to February 28, 2020, 434 participants were screened, and 392 randomized (260 intervention; 132 control), while 294 (201 intervention; 93 control) included in the 52 weeks complete case analysis. More intervention than control participants achieved WL ≥15% at 52 weeks [51/201 (25.4%) vs 6/93 (6.5%); odds ratio 5.18; 95% CI 2.09, 12.88; p < 0.0001]. More adverse events occurred in the intervention (238/260, 91.5%; two deaths) than control (89/132, 67.4%; no deaths) group. Interpretation: A targeted prescribing pathway for liraglutide 3 mg helps more people achieve ≥15% WL at 52 weeks than standard care alone. Funding: Novo Nordisk A/S.

Ibrutinib-associated cutaneous mucormycosis due to an Apophysomyces species: report of a case and review of the literature.

The use of ibrutinib, a Bruton tyrosine kinase inhibitor, has been associated with invasive fungal infections (IFIs). We describe a case of Apophysomyces infection associated with long-term use of ibrutinib for the treatment of chronic lymphocytic leukemia as well as perform a literature review of Mucormycosis infections in patients on ibrutinib. Our review found that the onset of IFI can occur within months to years of starting tyrosine kinase inhibitors. These reports provide a more complete picture of the risk of IFI while patients are on ibrutinib. Our case also demonstrates the utility of molecular techniques in the diagnosis of IFI, as the diagnosis was made using 28S rDNA/internal transcribed spacer PCR.

Evaluation of a Digital Amsler Grid (PocDoc) for Macular Disease Screening: A Comparative Analysis with the Conventional Method.

INTRODUCTION: Macular diseases are major contributors to visual impairment and blindness worldwide. This study introduces PocDoc, a digital version of the conventional Amsler grid, aimed at enhancing the screening and monitoring of macular diseases. We conducted a comprehensive evaluation to compare the effectiveness of PocDoc against the conventional method. METHODS: Our comparative analysis involved two distinct phases. Initially, we assessed the capability of both PocDoc and the conventional method in detecting central visual field abnormalities. This phase included a cohort of 72 healthy and 155 eyes affected by various conditions such as age-related macular degeneration (AMD), uveitis, polypoidal choroidal vasculopathy (PCV), and macular telangiectasia. We primarily focused on the area of compromise and observed the correlation between the results obtained from both methods, measuring their concordance using a correlation coefficient. In the second phase, we evaluated the accuracy of both methods in diagnosing AMD. This involved a group of 127 eyes, including 70 healthy and 57 AMD-affected eyes. We determined the sensitivity, specificity, and overall accuracy of each method in diagnosing AMD. RESULTS: In the initial phase, both PocDoc and the conventional Amsler grid demonstrated a high correlation in detecting central visual field defects across various macular diseases (correlation coefficient > 0.9). In the second phase, focused on AMD diagnosis, PocDoc showed a sensitivity of 50%, specificity of 100%, and an overall accuracy of 78%. Comparatively, the conventional method exhibited a sensitivity of 49%, specificity of 100%, and accuracy of 77%. CONCLUSION: PocDoc's digital Amsler grid exhibits comparable effectiveness to the conventional method in both detecting visual field abnormalities across a range of macular diseases and specifically in the diagnosis of AMD. The high correlation in results, combined with the digital advantages of PocDoc, such as ease of use and potential for telemedicine applications, suggests its viability as a valuable tool in the screening and monitoring of macular diseases.

Diverse axonal morphologies of individual callosal projection neurons reveal new insights into brain connectivity.

In the mature brain, functionally distinct areas connect to specific targets, mediating network activity required for function. New insights are still occurring regarding how specific connectivity occurs in the developing brain. Decades of work have revealed important insights into the molecular and genetic mechanisms regulating cell type specification in the brain. This work classified long-range projection neurons of the cerebral cortex into three major classes based on their primary target (e.g. subcortical, intracortical, and interhemispheric projections). However, painstaking single-cell mapping reveals that long-range projection neurons of the corpus callosum connect to multiple and overlapping ipsilateral and contralateral targets with often highly branched axons. In addition, their scRNA transcriptomes are highly variable, making it difficult to identify meaningful subclasses. This work has prompted us to reexamine how cortical projection neurons that comprise the corpus callosum are currently classified and how this stunning array of variability might be achieved during development.

Arsenic-induced neurotoxicity in patients with acute promyelocytic leukaemia.

Arsenic trioxide is an essential component of therapy for acute promyelocytic leukaemia (APL) and is currently dosed on actual body weight with no upper limit. Arsenic-induced neurotoxicity is a well-recognised complication; however, there is uncertainty about its relationship to arsenic dose and obesity. We conducted a large multicentre retrospective study of 487 patients with APL treated with arsenic-based therapy across 23 sites in Australia from 2008 to 2023. The primary outcome was incidence of neurotoxicity, and secondary outcomes included relationship of neurotoxicity to obesity and cumulative arsenic dose. Any-grade neurotoxicity occurred in 113 (23%) patients, predominantly peripheral neuropathy (91%). Most events were grade 1-2 severity (85%), with grade 3 events in 12% and grade 4-5 in 3%. The incidence of neurotoxicity increased with BMI (non-obese: 16%, obesity class I: 25%, obesity class II-III: 41%; p < 0.001). On univariable analysis, obesity class I (OR 1.81, p = 0.036), obesity class II-III (OR 3.93, p < 0.001), weight >100 kg (OR 2.72, p < 0.001), daily arsenic trioxide dose >15 mg (OR 5.05, p < 0.001) and cumulative induction dose >500 mg (OR 3.95, p < 0.001) were all significantly associated with neurotoxicity. Obesity class II-III and induction dose >500 mg remained significant on multivariable analysis. Our study highlights the strong association between BMI, arsenic trioxide dose and neurotoxicity. Pre-emptive dose reductions should be considered for obese patients receiving high doses of arsenic.