Age-modified risk factors for mortality of non-elderly adult kidney transplant recipients: a retrospective database analysis.

PURPOSE: We aimed to investigate the role of the recipient's age strata in modifying the associations between risk factors and mortality in non-elderly adult kidney transplant (KT) recipients (KTR). METHODS: We stratified 108,695 adult KTRs between 2000 and 2016 with conditional 1-year survival after KT into cohorts based on age at transplant: 18-49 years and 50-64 years. We excluded KTRs aged < 18 years or > / = 65 years. KTRs were observed for 5 years during the 2nd through 6th years post-KT for the outcome, all-cause mortality. RESULTS: Increasing recipient age strata (18-49-year-old and 50-64-year-old) correlated with decreasing 6-year post-KT survival rates conditional on 1-year survival (79% and 57%, respectively, p < 0.0001). Middle adult age stratum was associated with a higher risk of all-cause mortality than young adult age stratum in KTRs of Hispanic/Latino and other races [HR = 1.23, 95% CI = 1.04-1.45 and HR = 1.51, 95% CI = 1.16-1.97, respectively] and with a primary native renal diagnosis of hypertension or glomerulonephritis [HR = 1.32, 95% CI = 1.12-1.55 and HR = 1.29, 95% CI = 1.10-151, respectively]. When compared with the young adult age stratum, the middle adult age stratum had a mitigating effect on the higher risk of mortality associated with sirolimus-mycophenolate or sirolimus-tacrolimus than the standard calcineurin inhibitor-mycophenolate regimen [HR = 0.75, 95% CI = 0.57-0.99 and HR = 0.71, 95% CI = 0.57-0.89, respectively]. CONCLUSION: Among adult non-elderly KTRs, the age strata, 18-49 years, and 50-64 years, have varying modifying effects on the strength and direction of associations between some specific risk factors and all-cause mortality.

Average Nucleotide Identity based Staphylococcus aureus strain grouping allows identification of strain-specific genes in the pangenome.

Staphylococcus aureus causes both hospital and community acquired infections in humans worldwide. Due to the high incidence of infection S. aureus is also one of the most sampled and sequenced pathogens today, providing an outstanding resource to understand variation at the bacterial subspecies level. We processed and downsampled 83,383 public S. aureus Illumina whole genome shotgun sequences and 1,263 complete genomes to produce 7,954 representative substrains. Pairwise comparison of core gene Average Nucleotide Identity (ANI) revealed a natural boundary of 99.5% that could be used to define 145 distinct strains within the species. We found that intermediate frequency genes in the pangenome (present in 10-95% of genomes) could be divided into those closely linked to strain background ("strain-concentrated") and those highly variable within strains ("strain-diffuse"). Non-core genes had different patterns of chromosome location; notably, strain-diffuse associated with prophages, strain-concentrated with the vSaß genome island and rare genes (<10% frequency) concentrated near the origin of replication. Antibiotic genes were enriched in the strain-diffuse class, while virulence genes were distributed between strain-diffuse, strain-concentrated, core and rare classes. This study shows how different patterns of gene movement help create strains as distinct subspecies entities and provide insight into the diverse histories of important S. aureus functions.

Shifting Mindsets: The Impact of a Patient Portal on Functioning and Recovery in a Mental Health Setting.

OBJECTIVE: This study aims to understand whether higher use of a patient portal can have an impact on mental health functioning and recovery. METHOD: A mixed methods approach was used for this study. In 2019-2021, patients with mental health diagnoses at outpatient clinics in an academic centre were invited to complete World Health Organization Disability Assessment Scale 12 (WHODAS-12) and Mental Health Recovery Measure surveys at baseline, 3 months, and 6 months after signing up for the portal. At the 3-month time point, patients were invited to a semistructured interview with a member of the team to contextualize the findings obtained from the surveys. Analytics data was also collected from the platform to understand usage patterns on the portal. RESULTS: Overall, 113 participants were included in the analysis. There was no significant change in mental health functioning and recovery scores over the 6-month period. However, suboptimal usage was observed as 46% of participants did not complete any tasks within the portal. Thirty-five participants had low use of the portal (1-9 interactions) and 18 participants had high usage (10+ interactions). There were also no differences in mental health functioning and recovery scores between low and high users of the portal. Qualitative interviews highlighted many opportunities where the portal can support overall functioning and mental health recovery. CONCLUSIONS: Collectively, this study suggests that higher use of a portal had no impact, either positive or negative, on mental health outcomes. While it may offer convenience and improved patient satisfaction, adequate support is needed to fully enable these opportunities for patient care. As the type of interaction with the portal was not specifically addressed, future work should focus on looking at ways to support patient engagement and portal usage throughout their care journey.

A holistic approach to integrating patient, family, and lived experience voices in the development of the BrainHealth Databank: a digital learning health system to enable artificial intelligence in the clinic.

Artificial intelligence, machine learning, and digital health innovations have tremendous potential to advance patient-centred, data-driven mental healthcare. To enable the clinical application of such innovations, the Krembil Centre for Neuroinformatics at the Centre for Addiction and Mental Health, Canada's largest mental health hospital, embarked on a journey to co-create a digital learning health system called the BrainHealth Databank (BHDB). Working with clinicians, scientists, and administrators alongside patients, families, and persons with lived experience (PFLE), this hospital-wide team has adopted a systems approach that integrates clinical and research data and practices to improve care and accelerate research. PFLE engagement was intentional and initiated at the conception stage of the BHDB to help ensure the initiative would achieve its goal of understanding the community's needs while improving patient care and experience. The BHDB team implemented an evolving, dynamic strategy to support continuous and active PFLE engagement in all aspects of the BHDB that has and will continue to impact patients and families directly. We describe PFLE consultation, co-design, and partnership in various BHDB activities and projects. In all three examples, we discuss the factors contributing to successful PFLE engagement, share lessons learned, and highlight areas for growth and improvement. By sharing how the BHDB navigated and fostered PFLE engagement, we hope to motivate and inspire the health informatics community to collectively chart their paths in PFLE engagement to support advancements in digital health and artificial intelligence.

Reversible, Covalent DNA Condensation Approach Using Chemical Linkers for Enhanced Gene Delivery.

Nonviral gene delivery has emerged as a promising technology for gene therapy. Nonetheless, these approaches often face challenges, primarily associated with lower efficiency, which can be attributed to the inefficient transportation of DNA into the nucleus. Here, we report a two-stage condensation approach to achieve efficient nuclear transport of DNA. First, we utilize chemical linkers to cross-link DNA plasmids via a reversible covalent bond to form smaller-sized bundled DNA (b-DNA). Then, we package the b-DNA into cationic vectors to further condense b-DNA and enable efficient gene delivery to the nucleus. We demonstrate clear improvements in the gene transfection efficiency in vitro, including with 11.6 kbp plasmids and in primary cultured neurons. Moreover, we also observed a remarkable improvement in lung-selective gene transfection efficiency in vivo by this two-stage condensation approach following intravenous administration. This reversible covalent assembly strategy demonstrates substantial value of nonviral gene delivery for clinical therapeutic applications.

Role of standard HLA mismatch in modifying associations between non-pharmacologic risk factors and solid organ malignancy after kidney transplantation.

BACKGROUND: Human leukocyte antigen mismatch(es) (HLA-mm) between donors and recipients has not been extensively studied either as a risk factor for solid organ malignancy (SOM) or as a modifier of associations between nonpharmacologic risk factors and SOM in kidney transplant recipients (KTRs). METHODS: In a secondary analysis from a previous study, 166,256 adult KTRs in 2000-2018 who survived the first 12 months post-transplant free of graft loss or malignancy were classified into 0, 1-3, and 4-6 standard HLA-mm cohorts. Multivariable cause-specific Cox regressions analyzed the risks of SOM and all-cause mortality (ac-mortality) in 5 years following the first KT year. Comparisons of associations between SOM and risk factors in HLA mismatch cohorts were made by estimating the ratios of adjusted hazard ratios. RESULTS: Compared with 0 HLA-mm, 1-3 HLA-mm was not associated, and 4-6 HLA-mm was equivocally associated with increased risk of SOM [hazard ratio, (HR) = 1.05, 95%, confidence interval (CI) = 0.94-1.17 and HR = 1.11, 95% CI = 1.00-1.34, respectively]. Both 1-3 HLA-mm and 4-6 HLA-mm were associated with increased risk of ac-mortality compared with 0 HLA mm [hazard ratio (HR) = 1.12, 95%, Confidence Interval (CI) = 1.08-1.18) and (HR = 1.16, 95% CI = 1.09-1.22), respectively]. KTR's history of pre-transplant cancer, age 50-64, and >/=65 years were associated with increased risks of SOM and ac-mortality in all HLA mismatch cohorts. Pre-transplant dialysis >2 years, diabetes as the primary renal disease, and expanded or standard criteria deceased donor transplantation were risk factors for SOM in the 0 and 1-3 HLA-mm cohorts and of ac-mortality in all HLA-mm cohorts. KTRs male sex or history of previous kidney transplant was a risk factor for SOM in the 1-3 and 4-6 HLA-mm cohorts and of ac-mortality in all HLA-mm cohorts. CONCLUSION: Direct association between SOM and the degree of HLA mismatching is equivocal and limited to the 4-6 HLA-mm stratum; however, the degree of HLA mismatching has significant modifying effects on the associations between specific nonpharmacologic risk factors and SOM in KTRs.

Common predictors of adverse outcomes in adult deceased donor kidney transplant recipients with varying sensitization.

OBJECTIVE: Our objective was to identify consistent predictors of multiple adverse outcomes of adult deceased donor (DD) kidney transplant recipients (KTRs) of varying sensitization status. METHODS: We used the national transplant database in studying 62037 adult DD-KTRs between Dec. 2007 and Jun. 2015 stratified into sensitization cohorts based on calculated panel reactive antibody (CPRA) of <10%, 10%-79%, and ≥80%. We used multivariable logistic regressions for the analysis of risks for delayed graft function (DGF), and of acute rejection (AR) and hospitalization in the first year of transplant, and Cox hazard regression for 5-year overall graft loss (OAGL) and death. RESULTS: The kidney donor risk index (KDRI) highest two quartiles ≥1.45 and 1.15-1.44 were the most consistent predictors for 100% of adverse outcomes (OAGL, death, DGF, AR, and hospitalization) with high significance (P<0.0001) across all sensitization cohorts. The two risk factors that were consistently associated with 80% of adverse outcomes across sensitization cohorts were: (1) pre-transplant dialysis duration >2 years was significantly associated with increased risks of overall graft loss, death, DGF, and hospitalization; and (2) Black KTR race was significantly associated with increased risks of DGF, AR, and hospitalization, and decreased risk of death. Diabetes and KTR age >65 (years) were significant risk factors for overall loss and death across sensitization cohorts. CONCLUSIONS: The two highest KDRI quartiles, pre-transplant dialysis duration >2 years, and African American recipient race are consistent predictors of multiple adverse outcomes in adult DDKTRs across sensitization strata and should be among the factors considered in clinical decision-making and research models in kidney transplantation.

Fifty shades of greenbeard: robust evolution of altruism based on similarity of complex phenotypes.

We study the evolution of altruistic behaviour under a model where individuals choose to cooperate by comparing a set of continuous phenotype tags. Individuals play a donation game and only donate to other individuals that are sufficiently similar to themselves in a multidimensional phenotype space. We find the generic maintenance of robust altruism when phenotypes are multidimensional. Selection for altruism is driven by the coevolution of individual strategy and phenotype; altruism levels shape the distribution of individuals in phenotype space. Low donation rates induce a phenotype distribution that renders the population vulnerable to the invasion of altruists, whereas high donation rates prime a population for cheater invasion, resulting in cyclic dynamics that maintain substantial levels of altruism. Altruism is therefore robust to invasion by cheaters in the long term in this model. Furthermore, the shape of the phenotype distribution in high phenotypic dimension allows altruists to better resist the invasion by cheaters, and as a result the amount of donation increases with increasing phenotype dimension. We also generalize previous results in the regime of weak selection to two competing strategies in continuous phenotype space, and show that success under weak selection is crucial to success under strong selection in our model. Our results support the viability of a simple similarity-based mechanism for altruism in a well-mixed population.

Detecting patterns of accessory genome coevolution in Staphylococcus aureus using data from thousands of genomes.

Bacterial genomes exhibit widespread horizontal gene transfer, resulting in highly variable genome content that complicates the inference of genetic interactions. In this study, we develop a method for detecting coevolving genes from large datasets of bacterial genomes based on pairwise comparisons of closely related individuals, analogous to a pedigree study in eukaryotic populations. We apply our method to pairs of genes from the Staphylococcus aureus accessory genome of over 75,000 annotated gene families using a database of over 40,000 whole genomes. We find many pairs of genes that appear to be gained or lost in a coordinated manner, as well as pairs where the gain of one gene is associated with the loss of the other. These pairs form networks of rapidly coevolving genes, primarily consisting of genes involved in virulence, mechanisms of horizontal gene transfer, and antibiotic resistance, particularly the SCCmec complex. While we focus on gene gain and loss, our method can also detect genes that tend to acquire substitutions in tandem, or genotype-phenotype or phenotype-phenotype coevolution. Finally, we present the R package DeCoTUR that allows for the computation of our method.

Shortening dome osteotomy for correction of severe cubitus varus secondary to malunited supracondylar fractures in children.

The results of conventional corrective procedures remain suboptimal for severe cubitus varus deformities (> 30°) in children. We present the results of shortening dome osteotomy for the correction of such deformities. PATIENTS AND METHODS: We present retrospective review of prospectively collected data of 18 patients (11 boys and 7 girls) who underwent shortening dome osteotomy between January 2011 and December 2019 for severe cubitus varus deformities (> 30°) secondary to malunited supracondylar fracture. The procedure involved the removal of convexo-concave bone (5-8 mm wide) between the two domes. Humero-ulnar angles, lateral condylar prominence index (LCPI), and elbow range of movements were recorded preoperatively and postoperatively. RESULTS: Mean age was 7.5 years (range 5 years-11 years). Indication for surgery was poor cosmesis in all the patients and tardy ulnar nerve symptoms in three patients. Mean preoperative humero-ulnar angle was 26.1° varus (range 22°-34°), while it was 7.1° valgus (range 0°-12°) for contralateral normal elbow. They were followed for a mean duration of 2.2 years (range 12 months-5.8 years). The mean postoperative valgus angle achieved was 7.3° (range 2°-12°) as total angular correction achieved was 34.4° (range 30°-44°) (p < 0.001). Radiological healing was observed in all the patients at mean duration of 7.1 weeks (range 5 weeks-9 weeks). Mean preoperative and postoperative LCPI were - 2.4 (range +4.7 to - 10.5) and - 1.7 (range +4.5 to - 5.1), respectively (p = 0.595). Three patients had pin tract infections and two of them responded to aseptic dressings and oral antibiotics, while another required early pin removal and additional protection in splint. All patients regained preoperative arc of motion within 6 months after the procedure. CONCLUSION: Shortening dome osteotomy is a safe and effective method for correcting severe cubitus varus deformities (> 30°) secondary to malunited supracondylar fracture in children.

"I think it's something that we should lean in to": The use of OpenNotes in Canadian psychiatric care contexts by clinicians.

Background: OpenNotes is the concept of patients having access to their health records and clinical notes in a digital form. In psychiatric settings, clinicians often feel uncomfortable with this concept, and require support during implementation. Objective: This study utilizes an implementation science lens to explore clinicians' perceptions about using OpenNotes in Canadian psychiatric care contexts. The findings are intended to inform the co-design of implementation strategies to support the implementation of OpenNotes in Canadian contexts. Method: This qualitative descriptive study employed semi-structured interviews which were completed among health professionals of varying disciplines working in direct care psychiatric roles. Data analysis consisted of a qualitative directed content analysis using themes outlined from an international Delphi study of mental health clinicians and experts. Ethical approval was obtained from the Centre for Addiction and Mental Health and the University of Toronto. Results: In total, 23 clinicians from psychiatric settings participated in the interviews. Many of the themes outlined within the Delphi study were voiced. Benefits included enhancements to patient recall, and empowerment, improvements to care quality, strengthened relational effects and effects on professional autonomy and efficiencies. Despite the anticipated benefits of OpenNotes, identified challenges pertained to clarity surrounding exemption policies, training on patient facing notes, managing disagreements, and educating patients on reading clinical notes. Conclusion: Many benefits and challenges were identified for adopting OpenNotes in Canadian psychiatric settings. Future work should focus on applying implementation frameworks to develop interventions that address the identified challenges.

The Diagnostic and Treatment Challenges of Concomitant Mantle Cell Lymphoma and IgM Myeloma.

It is rare for IgM multiple myeloma (MM) and mantle cell lymphoma (MCL) to coexist. Furthermore, it is challenging to demonstrate if there are two distinct types of neoplasia or if plasma cell differentiation of MCL is present. We discuss the case of a patient concomitantly diagnosed with MCL and IgM MM, and the subsequent diagnostic and management difficulties, and the positive treatment outcome. LEARNING POINTS: Due to the rarity of simultaneous multiple myeloma (MM) and mantle cell lymphoma (MCL), it is challenging to investigate a possible association.This report will draw attention to the condition's rarity, diagnostic and treatment hurdles, and hopefully inspire future research into therapeutic alternatives.Several recent developments indicate a bright future for treating refractory malignancies such as MM and MCL, such as the advent of chimeric antigen receptor T-cell (CAR T-cell) therapy.

In-Situ Sensing and Dynamics Predictions for Electrothermally-Actuated Soft Robot Limbs.

Untethered soft robots that locomote using electrothermally-responsive materials like shape memory alloy (SMA) face challenging design constraints for sensing actuator states. At the same time, modeling of actuator behaviors faces steep challenges, even with available sensor data, due to complex electrical-thermal-mechanical interactions and hysteresis. This article proposes a framework for in-situ sensing and dynamics modeling of actuator states, particularly temperature of SMA wires, which is used to predict robot motions. A planar soft limb is developed, actuated by a pair of SMA coils, that includes compact and robust sensors for temperature and angular deflection. Data from these sensors are used to train a neural network-based on the long short-term memory (LSTM) architecture to model both unidirectional (single SMA) and bidirectional (both SMAs) motion. Predictions from the model demonstrate that data from the temperature sensor, combined with control inputs, allow for dynamics predictions over extraordinarily long open-loop timescales (10 min) with little drift. Prediction errors are on the order of the soft deflection sensor's accuracy. This architecture allows for compact designs of electrothermally-actuated soft robots that include sensing sufficient for motion predictions, helping to bring these robots into practical application.

The Probability of Joint Monophyly of Samples of Gene Lineages for All Species in an Arbitrary Species Tree.

Monophyly is a feature of a set of genetic lineages in which every lineage in the set is more closely related to all other members of the set than it is to any lineage outside the set. Multiple sets of lineages that are separately monophyletic are said to be reciprocally monophyletic, or jointly monophyletic. The prevalence of reciprocal monophyly, or joint monophyly (JM), has been used to evaluate phylogenetic and phylogeographic hypotheses, as well as to delimit species. These applications often make use of a probability of JM under models of gene lineage evolution. Studies in coalescent theory have computed this JM probability for small numbers of separate groups in arbitrary species trees and for arbitrary numbers of separate groups in trivial species trees. In this study, generalizing existing results on monophyly probabilities under the multispecies coalescent, we derive the probability of JM for arbitrary numbers of separate groups in arbitrary species trees. We illustrate how our result collapses to previously examined cases. We also study the effect of tree height, sample size, and number of species on the probability of JM. We obtain relatively simple lower and upper bounds on the JM probability. Our results expand the scope of JM calculations beyond small numbers of species, subsuming past formulas that have been used in simpler cases.

Digital Interventions to Support Population Mental Health in Canada During the COVID-19 Pandemic: Rapid Review.

BACKGROUND: The COVID-19 pandemic has resulted in a number of negative health related consequences, including impacts on mental health. More than 22% of Canadians reported that they had felt depressed in the last week, in response to a December 2020 national survey. Given the need to physically distance during the pandemic, and the increase in demand for mental health services, digital interventions that support mental health and wellness may be beneficial. OBJECTIVE: The purpose of this research was to identify digital interventions that could be used to support the mental health of the Canadian general population during the COVID-19 pandemic. The objectives were to identify (1) the populations these interventions were developed for, inclusive of exploring areas of equity such as socioeconomic status, sex/gender, race/ethnicity and culture, and relevance to Indigenous peoples and communities; (2) the effect of the interventions; and (3) any barriers or facilitators to the use of the intervention. METHODS: This study was completed using a Cochrane Rapid Review methodology. A search of Embase, PsycInfo, Medline, and Web of Science, along with Google, Million Short, and popular mobile app libraries, was conducted. Two screeners were involved in applying inclusion criteria using Covidence software. Academic articles and mobile apps identified were screened using the Standard Quality Assessment Criteria for Evaluating Primary Research Papers from a Variety of Fields resource, the American Psychiatric Association App Evaluation Framework, and the Mental Health Commission of Canada's guidance on app assessment and selection. RESULTS: A total of 31 mobile apps and 114 web-based resources (eg, telemedicine, virtual peer support groups, discussion forums, etc) that could be used to support the mental health of the Canadian population during the pandemic were identified. These resources have been listed on a publicly available website along with search tags that may help an individual make a suitable selection. Variability exists in the populations that the interventions were developed for, and little assessment has been done with regard to areas of equity. The effect of the interventions was not reported for all those identified in this synthesis; however, for those that did report the effect, it was shown that they were effective in the context that they were used. A number of barriers and facilitators to using these interventions were identified, such as access, cost, and connectivity. CONCLUSIONS: A number of digital interventions that could support population mental health in Canada during the global COVID-19 pandemic were identified, indicating that individuals have several options to choose from. These interventions vary in their purpose, approach, design, cost, and targeted user group. While some research and digital interventions addressed equity-related considerations, more research and focused attention should be given to this area.

Identifying best approaches for engaging patients and family members in health informatics initiatives: a case study of the Group Priority Sort technique.

BACKGROUND: Patient engagement strategies in health service delivery have become more common in recent years. However, many healthcare organizations are challenged in identifying the best methods to engage patients in health information technology (IT) initiatives. Engaging with important stakeholders to identify effective opportunities can inform the development of a resource that addresses this issue and supports organizations in their endeavors. The purpose of this paper is to share our experience and lessons learned from applying a novel consensus-building technique in order to identify key elements for effective patient engagement in health IT initiatives. This will be done through a case study approach. METHODS: Patients, family members of patients, health professionals, researchers, students, vendor representatives and individuals who work in health IT roles in health organizations were engaged through a one-day symposium in Toronto, Canada in September, 2018. During the symposium, the Group Priority Sort technique was used to obtain structured feedback from symposium attendees in the context of small group discussions. Descriptive statistics and a content analysis were undertaken to analyze the data collected through the Group Priority Sort as well as participant feedback following the symposium. RESULTS: A total of 37 participants attended the symposium from a variety of settings and organizations. Using the Group Priority Sort technique, 30 topics were classified by priority to be included in a future resource. Participant feedback pertaining to the symposium and research methods was largely positive. Several areas of improvement, such as clarity of items, were identified from this case study. CONCLUSIONS: The Group Priority Sort technique was an efficient method for obtaining valuable suggestions from a diverse group of stakeholders, including patients and family members. The specific priorities and feedback obtained from the symposium will be incorporated into a resource for healthcare organizations to aid them in engaging patients in health IT initiatives. Additionally, five important considerations were identified when conducting future work with the Group Priority Sort technique and are outlined in this paper.

Modelling anti-vaccine sentiment as a cultural pathogen.

Culturally transmitted traits that have deleterious effects on health-related traits can be regarded as cultural pathogens. A cultural pathogen can produce coupled dynamics with its associated health-related traits, so that understanding the dynamics of a health-related trait benefits from consideration of the dynamics of the associated cultural pathogen. Here, we treat anti-vaccine sentiment as a cultural pathogen, modelling its 'infection' dynamics with the infection dynamics of the associated vaccine-preventable disease. In a coupled susceptible-infected-resistant (SIR) model, consisting of an SIR model for the anti-vaccine sentiment and an interacting SIR model for the infectious disease, we explore the effect of anti-vaccine sentiment on disease dynamics. We find that disease endemism is contingent on the presence of the sentiment, and that presence of sentiment can enable diseases to become endemic when they would otherwise have disappeared. Furthermore, the sentiment dynamics can create situations in which the disease suddenly returns after a long period of dormancy. We study the effect of assortative sentiment-based interactions on the dynamics of sentiment and disease, identifying a tradeoff whereby assortative meeting aids the spread of a disease but hinders the spread of sentiment. Our results can contribute to finding strategies that reduce the impact of a cultural pathogen on disease, illuminating the value of cultural evolutionary modelling in the analysis of disease dynamics.

The Relationship Between Haplotype-Based FST and Haplotype Length.

The population-genetic statistic [Formula: see text] is used widely to describe allele frequency distributions in subdivided populations. The increasing availability of DNA sequence data has recently enabled computations of [Formula: see text] from sequence-based "haplotype loci." At the same time, theoretical work has revealed that [Formula: see text] has a strong dependence on the underlying genetic diversity of a locus from which it is computed, with high diversity constraining values of [Formula: see text] to be low. In the case of haplotype loci, for which two haplotypes that are distinct over a specified length along a chromosome are treated as distinct alleles, genetic diversity is influenced by haplotype length: longer haplotype loci have the potential for greater genetic diversity. Here, we study the dependence of [Formula: see text] on haplotype length. Using a model in which a haplotype locus is sequentially incremented by one biallelic locus at a time, we show that increasing the length of the haplotype locus can either increase or decrease the value of [Formula: see text], and usually decreases it. We compute [Formula: see text] on haplotype loci in human populations, finding a close correspondence between the observed values and our theoretical predictions. We conclude that effects of haplotype length are valuable to consider when interpreting [Formula: see text] calculated on haplotypic data.

Collaborative Cardiac Care: A Comprehensive Heart Team Approach to Multiple Severe Vascular Conditions.

Left main artery coronary disease represents the highest risk lesion of ischemic heart disease. Revascularization can be accomplished by surgery or percutaneous interventions. This study highlights the case of a patient with severe multiple peripheral vascular conditions and complex coronary anatomy treated with percutaneous coronary intervention using mechanical circulatory support. (Level of Difficulty: Intermediate.).