Cardiovascular Health, Lifestyle Factors, and Social Determinants in Asian Subpopulations in the United States.

Asian Americans are often aggregated in national public health surveillance efforts, which may conceal important differences in the health status of subgroups that are included in this highly diverse population. Little is known about how cardiovascular health varies across Asian subpopulations and the extent to which lifestyle and social risk factors contribute to any observed differences. This national study used data from the National Health Interview Survey to evaluate the burden of cardiovascular risk factors (hypertension, hyperlipidemia, diabetes mellitus) and cardiovascular diseases (heart attack, coronary heart disease, angina, stroke) across Asian groups (Chinese, Asian Indian, Filipino, Other Asian), and determine whether differences are related to lifestyle factors and/or social determinants of health. The weighted study population included 13,592,178 Asian adults. Filipino adults were more likely to have hypertension than Chinese adults (29.4% vs 15.4%; adjusted odds ratio [OR] 2.40, 95% confidence interval [1.91 to 3.02]), as were Asian Indians (15.7%; OR 1.59 [1.25 to 2.02]). These patterns were similar for hyperlipidemia and diabetes mellitus. For cardiovascular diseases, Filipino adults were significantly more likely to have coronary heart disease (4.2% vs 1.9%; OR 2.19 [1.32 to 3.56]), heart attack (2.6% vs 0.9%; OR 2.79 [1.44 to 5.41]), angina (1.8% vs 0.9%; OR 2.15 [1.06 to 4.32]), and stroke (2.1% vs 0.8%; OR 2.54 [1.42 to 4.55]) compared with Chinese adults, whereas there were no differences compared with Asian Indian adults. Adjustments for lifestyle factors and social determinants completely attenuated differences in coronary heart disease, heart attack, and angina among subpopulations. In conclusion, these findings demonstrate that cardiovascular risk factors and diseases vary significantly across Asian subpopulations, with Filipino adults experiencing the highest burden and Chinese adults the lowest, and that differences in cardiovascular disease are largely attenuated after adjustment for lifestyle and social determinants.

Do social determinants of health impact access to neurosurgical care in the United States? A workforce perspective.

OBJECTIVE: This study attempts to use neurosurgical workforce distribution to uncover the social determinants of health that are associated with disparate access to neurosurgical care. METHODS: Data were compiled from public sources and aggregated at the county level. Socioeconomic data were provided by the Brookings Institute. Racial and ethnicity data were gathered from the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research. Physician density was retrieved from the Health Resources and Services Administration Area Health Resources Files. Catchment areas were constructed based on the 628 counties with neurosurgical coverage, with counties lacking neurosurgical coverage being integrated with the nearest covered county based on distances from the National Bureau of Economic Research's County Distance Database. Catchment areas form a mutually exclusive and collectively exhaustive breakdown of the entire US population and licensed neurosurgeons. Socioeconomic factors, race, and ethnicity were chosen as independent variables for analysis. Characteristics for each catchment area were calculated as the population-weighted average across all contained counties. Linear regression analysis modeled two outcomes of interest: neurosurgeon density per capita and average distance to neurosurgical care. Coefficient estimates (CEs) and 95% confidence intervals were calculated and scaled by 1 SD to allow for comparison between variables. RESULTS: Catchment areas with higher poverty (CE = 0.64, 95% CI 0.34-0.93) and higher prime age employment (CE = 0.58, 95% CI 0.40-0.76) were significantly associated with greater neurosurgeon density. Among categories of race and ethnicity, catchment areas with higher proportions of Black residents (CE = 0.21, 95% CI 0.06-0.35) were associated with greater neurosurgeon density. Meanwhile, catchment areas with higher proportions of Hispanic residents displayed lower neurosurgeon density (CE = -0.17, 95% CI -0.30 to -0.03). Residents of catchment areas with higher housing vacancy rates (CE = 2.37, 95% CI 1.31-3.43), higher proportions of Native American residents (CE = 4.97, 95% CI 3.99-5.95), and higher proportions of Hispanic residents (CE = 2.31, 95% CI 1.26-3.37) must travel farther, on average, to receive neurosurgical care, whereas people living in areas with a lower income (CE = -2.28, 95% CI -4.48 to -0.09) or higher proportion of Black residents (CE = -3.81, 95% CI -4.93 to -2.68) travel a shorter distance. CONCLUSIONS: Multiple factors demonstrate a significant correlation with neurosurgical workforce distribution in the US, most notably with Hispanic and Native American populations being associated with greater distances to care. Additionally, higher proportions of Hispanic residents correlated with fewer neurosurgeons per capita. These findings highlight the interwoven associations among socioeconomics, race, ethnicity, and access to neurosurgical care nationwide.

Access to community-based reproductive health services and incidence of low birthweight delivery among refugee and displaced mothers: a retrospective study in the Thailand-Myanmar border region.

OBJECTIVES: Over 2.4 million people have been displaced within the Thailand-Myanmar border region since 1988. The efficacy of community-driven health models within displaced populations is largely unstudied. Here, we examined the relationship between maternal healthcare access and delivery outcomes to evaluate the impact of community-provided health services for marginalised populations. SETTING: Study setting was the Thailand-Myanmar border region's single largest provider of reproductive health services to displaced mothers. PARTICIPANTS: All women who had a delivery (n=34 240) between 2008 and 2019 at the study clinic were included in the performed retrospective analyses. PRIMARY AND SECONDARY OUTCOME MEASURES: Low birth weight was measured as the study outcome to understand the relationship between antenatal care access, family planning service utilisation, demographics and healthy deliveries. RESULTS: First trimester (OR=0.86; 95% CI=0.81 to 0.91) and second trimester (OR=0.86; 95% CI=0.83 to 0.90) antenatal care visits emerged as independent protective factors against low birthweight delivery, as did prior utilisation of family planning services (OR=0.82; 95% CI=0.73 to 0.92). Additionally, advanced maternal age (OR=1.36; 95% CI=1.21 to 1.52) and teenage pregnancy (OR=1.27, 95% CI=1.13 to 1.42) were notable risk factors, while maternal gravidity (OR=0.914; 95% CI=0.89 to 0.94) displayed a protective effect against low birth weight. CONCLUSION: Access to community-delivered maternal health services is strongly associated with positive delivery outcomes among displaced mothers. This study calls for further inquiry into how to best engage migrant and refugee populations in their own reproductive healthcare, in order to develop resilient models of care for a growing displaced population globally.

Mechanistic gene networks inferred from single-cell data with an outlier-insensitive method.

With advances in single-cell techniques, measuring gene dynamics at cellular resolution has become practicable. In contrast, the increased complexity of data has made it more challenging computationally to unravel underlying biological mechanisms. Thus, it is critical to develop novel computational methods capable of dealing with such complexity and of providing predictive deductions from such data. Many methods have been developed to address such challenges, each with its own advantages and limitations. We present an iterative regression algorithm for inferring a mechanistic gene network from single-cell data, especially suited to overcoming problems posed by measurement outliers. Using this regression, we infer a developmental model for the gene dynamics in Drosophila melanogaster blastoderm embryo. Our results show that the predictive power of the inferred model is higher than that of other models inferred with least squares and ridge regressions. As a baseline for how well a mechanistic model should be expected to perform, we find that model predictions of the gene dynamics are more accurate than predictions made with neural networks of varying architectures and complexity. This holds true even in the limit of small sample sizes. We compare predictions for various gene knockouts with published experimental results, finding substantial qualitative agreement. We also make predictions for gene dynamics under various gene network perturbations, impossible in non-mechanistic models.

Medical Malpractice Litigation Following Arthroscopic Surgery.

PURPOSE: Our study aims to analyze a variety of factors involving malpractice lawsuits following arthroscopy, focusing on reasons for lawsuit and establishing predictors for the outcome of the lawsuit. METHODS: Two legal databases, VerdictSearch and Westlaw, were queried for arthroscopic cases in adult patients. For all included cases, clinical and demographic data were recorded. The effects of plaintiff demographics, joint involved, lawsuit allegation, case ruling, and size of indemnity payments were assessed. RESULTS: Of the 240 included cases, 62 (26%) resulted in plaintiff verdict, 160 (67%) resulted in defense verdict, and 18 (8%) were settled without trial. Plaintiff demographics (age and sex) had no effect on the case ruling. There was no statistical difference between indemnity awards for plaintiff verdicts ($1,013,494) and settled cases ($848,331; P = .13). Patient death was noted in 20 cases (8.3%); a significantly higher proportion of these cases were settled versus went to trial (P = .0022), including 19 patients (95%) who had knee arthroscopy and 16 deaths (80%) resulting from a pulmonary embolus. Plaintiff verdict or settlement were seen significantly more frequently for vascular complications and wrong-sided surgery. Alternatively, defense verdicts followed lawsuits alleging surgeon technical error. Wrong-sided surgery, retained instruments, deep venous thrombosis, and postoperative infections were seen at a significantly higher proportion after knee arthroscopy than after arthroscopy of other joints. Similarly, neurological injury was significantly associated with elbow and hip arthroscopy, while allegations of technical error by the surgeon and block-related complications were associated with shoulder arthroscopy. CONCLUSIONS: Plaintiff verdict or settlement were seen for vascular complications and wrong-sided surgery, while defense verdicts followed lawsuits alleging surgeon technical error and block-related complications. We also identified types of allegations that were associated with arthroscopy of different joints. All but one case of patient death (20 cases) were noted to involve knee arthroscopy, and an overwhelming majority resulted due to a pulmonary embolism. This information helps the arthroscopic surgeon better counsel patients and employ strategies to mitigate preventable complications. LEVEL OF EVIDENCE: Level IV, case series.

Antimicrobial technology in orthopedic and spinal implants.

Infections can hinder orthopedic implant function and retention. Current implant-based antimicrobial strategies largely utilize coating-based approaches in order to reduce biofilm formation and bacterial adhesion. Several emerging antimicrobial technologies that integrate a multidisciplinary combination of drug delivery systems, material science, immunology, and polymer chemistry are in development and early clinical use. This review outlines orthopedic implant antimicrobial technology, its current applications and supporting evidence, and clinically promising future directions.

Tetranucleotide usage highlights genomic heterogeneity among mycobacteriophages.

Background The genomic sequences of mycobacteriophages, phages infecting mycobacterial hosts, are diverse and mosaic. Mycobacteriophages often share little nucleotide similarity, but most of them have been grouped into lettered clusters and further into subclusters. Traditionally, mycobacteriophage genomes are analyzed based on sequence alignment or knowledge of gene content. However, these approaches are computationally expensive and can be ineffective for significantly diverged sequences. As an alternative to alignment-based genome analysis, we evaluated tetranucleotide usage in mycobacteriophage genomes. These methods make it easier to characterize features of the mycobacteriophage population at many scales. Description We computed tetranucleotide usage deviation (TUD), the ratio of observed counts of 4-mers in a genome to the expected count under a null model. TUD values are comparable between members of a phage subcluster and distinct between subclusters. With few exceptions, neighbor joining phylogenetic trees and hierarchical clustering dendrograms constructed using TUD values place phages in a monophyletic clade with members of the same subcluster. Regions in a genome with exceptional TUD values can point to interesting features of genomic architecture. Finally, we found that subcluster B3 mycobacteriophages contain significantly overrepresented 4-mers and 6-mers that are atypical of phage genomes. Conclusions Statistics based on tetranucleotide usage support established clustering of mycobacteriophages and can uncover interesting relationships within and between sequenced phage genomes. These methods are efficient to compute and do not require sequence alignment or knowledge of gene content. The code to download mycobacteriophage genome sequences and reproduce our analysis is freely available at https://github.com/bsiranosian/tango_final.