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Importance: The randomized clinical trial Cancer and Leukemia Group B (CALGB) 140503 showed that for patients with clinically staged T1N0 non-small cell lung cancer (NSCLC; ≤2 cm), sublobar resections were associated with similar oncological outcomes to those after lobar resection. The association of the extent of parenchymal resection with recurrence and survival in patients with tumors pathologically upstaged to T2 based on visceral pleural invasion (VPI) is controversial. Objective: To determine survival and recurrence rates in patients with small peripheral pT2 NSCLC (≤2 cm) that was treated by either lobar or sublobar resection in CALGB 140503. Design, Participants, and Setting: CALGB 140503, a randomized multicenter noninferiority trial, included 697 patients with small peripheral NSCLC that was clinically staged as T1N0. Enrollment was from June 2007 through March 2017 at 83 participating institutions, and after a median follow-up of 7 years, the primary outcome of disease-free survival after sublobar resection was noninferior to that after lobar resection. Intervention: Lobar or sublobar resection. Main Outcomes and Measures: Survival end points were estimated by the Kaplan-Meier estimator. Hazard ratios and 95% CIs were estimated using stratified Cox proportional hazard models. Results: Of 679 participants, 390 (57.4%) were female, and the median (range) age was 67.8 (37.8-89.7) years. Among 697 patients randomized, 566 (81.2%) had pT1 tumors (no VPI) and 113 (16.2%) had pT2 tumors (VPI). Five-year disease-free survival was 65.9% (95% CI, 61.9%-70.2%) in patients with pT1 compared with 53.3% (95% CI, 44.3%-64.1%) in patients with pT2 tumors (stratified log-rank: P = .02). Disease recurrence developed in 27.6% of patients with pT1 (locoregional only: 60 [10.8%]; distant only: 81 [14.6%]) and 41.6% of those with pT2 (locoregional only: 17 [15.0%]; distant only: 27 [23.9%]). Five-year recurrence-free survival was 73.1% (95% CI, 69.2%-77.1%) for pT1 tumors and 58.2% (95% CI, 49.2%-68.8%) for pT2 tumors (stratified log-rank: P = .01). There were no intergroup differences in disease-free or recurrence-free survival based on the extent of parenchymal resection. Conclusions and Relevance: The results of this secondary analysis suggest that compared with patients with tumors without VPI, patients who had tumors with VPI had worse disease-free and recurrence-free survival and a higher rate of local and distant disease recurrence. These high rates of recurrence were independent of the extent of parenchymal resection, and these data support the inclusion of these patients in adjuvant therapy trials. Trial Registration: ClinicalTrials.gov Identifier: NCT0049933.
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Pediatric brain cancer is the leading cause of disease-related mortality in children, and many aggressive tumors still lack effective treatment strategies. Despite extensive studies characterizing these tumor genomes, alternative transcriptional splicing patterns remain underexplored. Here, we systematically characterized aberrant alternative splicing across pediatric brain tumors, identifying pediatric high-grade gliomas (HGGs) among the most heterogeneous. Through integration with UniProt Knowledgebase annotations, we identified 12,145 splice events in 5,424 genes, leading to functional changes in protein activation, folding, and localization. We discovered that the master splicing factor and cell-cycle modulator, CDC-like kinase 1 (CLK1), is aberrantly spliced in HGGs to include exon 4, resulting in a gain of two phosphorylation sites and subsequent activation of CLK1. Inhibition of CLK1 with Cirtuvivint in the pediatric HGG KNS-42 cell line significantly decreased both cell viability and proliferation in a dose-dependent manner. Morpholino-mediated depletion of CLK1 exon 4 splicing reduced RNA expression, protein abundance, and cell viability. Notably, KNS-42 cells treated with the CLK1 exon 4 morpholino demonstrated differential expression impacting 78 genes and differential splicing with loss or gain of a functional site in 193 genes annotated as oncogene or tumor suppressor genes (TSGs). These genes were enriched for cancer-associated pathways, with 15 identified as significant gene dependencies in pediatric HGGs. Our findings highlight a dependency of pediatric HGGs on CLK1 and its roles contributing to tumor splicing heterogeneity through transcriptional dysregulation of splicing factors and transcriptional modulation of oncogenes. Overall, aberrant splicing in HGGs and other pediatric brain tumors represents a potentially targetable oncogenic pathway contributing to tumor growth and maintenance.
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Silicone-in-water emulsions have found widespread use as lubricants, water repellants, softeners, binders, antiblocking agents, antislip agents, and defoamers across a diverse range of markets including textiles, coatings, pharmaceuticals, and home and personal care. Stable incorporation of silicone emulsions into formulated products for these applications can be a challenge. This study seeks to enable formulation by investigating the impact of the degree of ethoxylation of sodium lauryl ether sulfate (SLES) surfactants on their ability to displace surfactant stabilizer at the silicone-water interfaces of polydimethylsiloxane (PDMS)-in-water emulsion droplets. Building this understanding will greatly enable the manufacture of home and personal care products prepared by introducing silicone emulsions into SLES-rich formulations. Nuclear magnetic resonance (NMR) measurements reveal that SLES can displace the triethanolamine dodecylbenzenesulfonate stabilizer at the droplet surfaces. Both capillary electrophoresis (CE) measurements and molecular dynamics simulations of the interfacial tension (IFT) between silicone and water measurements suggest that SLES mixtures with a higher average degree of ethoxylation are more surface active at the siliconeâwater interface. The molecular dynamics simulations predict a systematic decrease in PDMS-water IFT with increase in degree of ethoxylation (simulations predict a decrease of 1.3 mN/m per mole of ethylene oxide). Optical microscopy reveals that the presence of SLES at the droplet surfaces promotes the formation of loose flocs of droplets that break up upon dilution. Overall, these fundamental insights will aid in formulating silicone emulsions into products to achieve optimal performance.
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Purpose: Spatio-temporal variability in clinical fluoroscopy and cine angiography images combined with nonlinear image processing prevents the application of traditional image quality measurements in the cardiac catheterization laboratory. We aimed to develop and validate methods to measure human observer impressions of the image quality. Approach: Multi-frame images of the thorax of a euthanized pig were acquired to provide an anatomical background. The detector dose was varied from 6 to 200 nGy (increments 2×), and 0.6 and 1.0 mm focal spots were used. Two coronary stents with/without 0.5 mm separation and a synthetic right coronary artery (RCA) with hemispherical defects were embedded into the background images as test objects. The quantitative observer ( n = 17 ) performance was measured using a two-alternating forced-choice test of whether stents were separated and by a count of visible right coronary artery defects. Qualitative impressions of noise, spatial resolution, and overall image quality were measured using a visual analog scale (VAS). A paired t -test and multinomial logistic regression model were used to identify statistically significant factors affecting the observer's impression image quality. Results: The proportion of correct detection of stent separation and the number of reported right coronary artery defects changed significantly with detector dose increment in the 6 to 100 nGy ( p < 0.05 ). Although a trend favored the 0.6 versus 1.0 mm focal spot for these quantitative assessments, this was insignificant. Visual analog scale measurements changed significantly with detector dose increments in the range of 24 to 100 nGy and focal spot size ( p < 0.05 ). The application of multinomial logistic regression analysis to observer VAS scores demonstrated sensitivity matching of the paired t -test applied to quantitative observer performance measurements. Conclusions: Both quantitative and qualitative measurements of observer impression of the image quality were sensitive to image quality changes associated with changing the detector dose and focal spot size. These findings encourage future work that uses qualitative image quality measurements to assess clinical fluoroscopy and angiography image quality.
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Cardiac metastases occur in a significant proportion of cancer patients and profoundly affect clinical outcomes and management strategies, especially in esophageal cancer, where the metastasis typically targets the left heart due to its unique lymphatic spread. Diagnostic imaging is crucial for patients with cardiac symptoms or electrocardiogram (EKG) changes, as it significantly influences treatment decisions, including the operability of the primary tumor and the risks associated with left-sided metastasis, such as the potential for embolization leading to stroke. This case report provides a detailed analysis of esophageal cancer metastasizing to the left atrium, highlighting diagnostic challenges and discussing the appearance of cardiac metastasis across various imaging modalities. The report examines the advantages and limitations of each imaging technique, offering insights into their roles in accurate diagnosis and effective management in complex clinical scenarios.
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Idiopathic thrombocytopenic purpura (ITP) presents challenges in management, particularly in cases refractory to corticosteroids. Thrombopoietin receptor (TPO-R) agonists, such as eltrombopag, offer alternative therapeutic options. We report a case of a 72-year-old South Asian male with steroid-refractory chronic ITP who achieved a favorable response with biweekly eltrombopag dosing. Platelet response was comparable to daily dosing, suggesting the efficacy of less frequent administration schedules. This approach may enhance patient adherence and reduce treatment-related financial burdens. Biweekly eltrombopag dosing presents a promising alternative for chronic ITP management, warranting further investigation.
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The sequencing platform and workflow strongly influence microbial community analyses through potential errors at each step. Effective diagnostics and experimental controls are needed to validate data and improve reproducibility. This cross-laboratory study evaluates sources of variability and error at three main steps of a standardized amplicon sequencing workflow (DNA extraction, polymerase chain reaction [PCR], and sequencing) using Oxford Nanopore MinION to analyze agricultural soils and a simple mock community. Variability in sequence results occurs at each step in the workflow with PCR errors and differences in library size greatly influencing diversity estimates. Common bioinformatic diagnostics and the mock community are ineffective at detecting PCR abnormalities. This work outlines several diagnostic checks and techniques to account for sequencing depth and ensure accuracy and reproducibility in soil community analyses. These diagnostics and the inclusion of a reference soil can help ensure data validity and facilitate the comparison of multiple sequencing runs within and between laboratories.
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Nanopore Sequencing , Soil Microbiology , Nanopore Sequencing/methods , Reproducibility of Results , Microbiota/genetics , Sequence Analysis, DNA/methods , Polymerase Chain Reaction/methods , Soil/chemistry , High-Throughput Nucleotide Sequencing/methodsABSTRACT
Background: In 2019, the Open Pediatric Brain Tumor Atlas (OpenPBTA) was created as a global, collaborative open-science initiative to genomically characterize 1,074 pediatric brain tumors and 22 patient-derived cell lines. Here, we extend the OpenPBTA to create the Open Pediatric Cancer (OpenPedCan) Project, a harmonized open-source multi-omic dataset from 6,112 pediatric cancer patients with 7,096 tumor events across more than 100 histologies. Combined with RNA-Seq from the Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA), OpenPedCan contains nearly 48,000 total biospecimens (24,002 tumor and 23,893 normal specimens). Findings: We utilized Gabriella Miller Kids First (GMKF) workflows to harmonize WGS, WXS, RNA-seq, and Targeted Sequencing datasets to include somatic SNVs, InDels, CNVs, SVs, RNA expression, fusions, and splice variants. We integrated summarized CPTAC whole cell proteomics and phospho-proteomics data, miRNA-Seq data, and have developed a methylation array harmonization workflow to include m-values, beta-vales, and copy number calls. OpenPedCan contains reproducible, dockerized workflows in GitHub, CAVATICA, and Amazon Web Services (AWS) to deliver harmonized and processed data from over 60 scalable modules which can be leveraged both locally and on AWS. The processed data are released in a versioned manner and accessible through CAVATICA or AWS S3 download (from GitHub), and queryable through PedcBioPortal and the NCI's pediatric Molecular Targets Platform. Notably, we have expanded PBTA molecular subtyping to include methylation information to align with the WHO 2021 Central Nervous System Tumor classifications, allowing us to create research- grade integrated diagnoses for these tumors. Conclusions: OpenPedCan data and its reproducible analysis module framework are openly available and can be utilized and/or adapted by researchers to accelerate discovery, validation, and clinical translation.
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The cerebral cortex comprises many distinct regions that differ in structure, function, and patterns of connectivity. Current approaches to parcellating these regions often take advantage of functional neuroimaging approaches that can identify regions involved in a particular process with reasonable spatial resolution. However, neuroanatomical biomarkers are also very useful in identifying distinct cortical regions either in addition to, or in place of functional measures. For example, differences in myelin density are thought to relate to functional differences between regions, are sensitive to individual patterns of experience, and have been shown to vary across functional hierarchies in a predictable manner. Accordingly, the current study provides quantitative stereological estimates of myelin density for each of the 13 regions that make up the feline auditory cortex. We demonstrate that significant differences can be observed between auditory cortical regions, with the highest myelin density observed in the regions that comprise the auditory core (i.e., the primary auditory cortex and anterior auditory field). Moreover, our myeloarchitectonic map suggests that myelin density varies in a hierarchical fashion that conforms to the traditional model of spatial organization in auditory cortex. Taken together, these results establish myelin as a useful biomarker for parcellating auditory cortical regions, and provide detailed estimates against which other, less invasive methods of quantifying cortical myelination may be compared.
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Introduction Heart failure (HF) represents a substantial global health concern, evidenced by its high prevalence, significant mortality rates, and considerable economic impact worldwide. Within this broader context, congestive heart failure (CHF) emerges as a critical subset, affecting millions and leading to high rates of morbidity and mortality. Recent explorations have started to uncover a potential link between kidney stones and broader systemic health problems, including coronary artery disease. This association suggests that kidney stones might also indicate an increased risk for cardiovascular diseases such as CHF. However, the exploration into the direct relationship between kidney stones and CHF is still in its nascent stages, creating a significant gap in understanding the full cardiovascular implications of kidney stone disease. Methods Utilizing data from the National Health and Nutrition Examination Survey (NHANES) for the period of March 2017 to March 2020, we conducted a logistic regression analysis to assess the relationship between kidney stones and CHF. This analysis adjusted for key variables such as age, gender, race, and educational attainment, aiming to isolate the impact of kidney stones on CHF risk among 8,521 participants. Results Our findings revealed a higher incidence of CHF among individuals with a history of kidney stones (7%) compared to those without (3%). Logistic regression analysis further highlighted kidney stones as an independent risk factor for CHF, with an odds ratio (OR) of 1.857, significant at p < 0.01. These results underline the importance of considering kidney stones in the broader context of cardiovascular health risks, particularly CHF, as their presence significantly elevates the risk compared to the general population without kidney stones. Additional demographic analyses indicated significant influences of age, gender, race, and educational level on the risk of CHF, emphasizing the complex interplay between these factors and heart health. Conclusion The study confirms the association between a history of kidney stones and an increased risk of CHF, suggesting the need for heightened cardiovascular monitoring for patients with such a history. It also brings to light the significant role demographic factors play in CHF risk, advocating for targeted interventions to mitigate these disparities. Our research supports a broader view of patient care that includes consideration of urological conditions as potential risk factors for heart failure. Further exploration into the mechanisms linking kidney stones and cardiovascular health is recommended to inform more effective prevention and treatment strategies.
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The relationship between type 2 diabetes mellitus (T2DM) and depression presents a significant area of medical concern, characterized by a higher incidence of depression among T2DM patients compared to the general population. This connection is not only evidenced in the prevalence of depressive symptoms in diabetic patients but also in the way these symptoms impact diabetes management. Furthermore, the influence of antidiabetic medications, especially sodium-glucose cotransporter-2 (SGLT2) inhibitors, on depression risk is a topic of ongoing research, with contrasting findings regarding the effects of drugs like metformin and pioglitazone. The aim of this study is to provide a comprehensive analysis of the relationship between T2DM and depression, focusing on the prevalence of depressive symptoms among diabetic patients, and the role of antidiabetic medications in modulating depression risk. Methods Utilizing data from the National Health and Nutrition Examination Survey (NHANES), we focused on individuals with T2DM. Depression status was assessed using the nine-item Patient Health Questionnaire (PHQ-9), a validated tool for evaluating depressive symptoms. Participants' depression status was categorized based on PHQ-9 composite scores. The analysis included demographic variables and the use of antidiabetic medications, with a focus on SGLT2 inhibitors. Logistic regression models adjusted for age, race/ethnicity, and BMI were employed. Results Our study involved 23,575 participants, of which 7,862 had T2DM. A significant difference in age and BMI was observed between diabetic and non-diabetic groups. Logistic regression analysis indicated that non-diabetic individuals had a significantly lower likelihood of depression compared to diabetic patients not on SGLT2 inhibitors. However, no statistically significant difference in depression levels was found between diabetic patients on SGLT2 inhibitors and those not on these medications. Conclusion These findings highlight the complex relationship between diabetes, antidiabetic medication, and depression. Notably, we found no significant impact of SGLT2 inhibitors on depression in diabetic patients, challenging previous assumptions about the role of specific antidiabetic drugs in mental health. We also revealed that older diabetic individuals reported fewer depressive symptoms, suggesting the influence of psychosocial factors and the need for age-specific depression management strategies. This research underscores the necessity of further studies to explore the nuanced effects of different antidiabetic medications on mental health outcomes, guiding toward more personalized treatment approaches for the mental health challenges in T2DM.
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BACKGROUND AND OBJECTIVE: PD-1 inhibitors have revolutionized cancer therapies and are being used to treat an expanding array of cancers. To best serve patients, clinicians should be familiar with the spectrum of skin manifestations associated with PD-1 inhibitor therapy. Here, we report a unique case of hypertrophic lichen planus (HLP) in a 64-year-old man treated with pembrolizumab; the presentation initially suggested a squamous cell carcinoma (SCC) morphology, then evolved into a morphology more typical of hypertrophic lichen planus. This case underscores the need for caution in diagnosing eruptive SCCs associated with PD-1 inhibitor therapy. In such instances, maintaining a high suspicion for lichenoid reactions as sequelae of PD-1 inhibitor treatment and starting an empiric trial of therapy for lichenoid dermatitis may be warranted to ensure timely management of lesions. METHODS: We describe a case of hypertrophic lichen planus mimicking squamous cell carcinoma in the setting of PD-1 inhibitory therapy with pembrolizumab. A PubMed literature review was conducted to identify other cases and determine the incidence of lichenoid reactions imitating squamous cell carcinoma in the setting of PD-1 inhibitor use. RESULTS: Our case is one of the few available pieces of literature describing eruptive hypertrophic lichen planus imitating SCC in the setting of PD-1 inhibitor use. Initial skin nodule biopsy appeared histologically compatible with squamous cell carcinoma. Repeat biopsy of the skin lesions revealed histological features consistent with hypertrophic lichen planus. Over time, lower extremity lesions evolved into a more typical appearance of hypertrophic lichen planus. Treatment with topical 0.05% clobetasol ointment and oral acitretin 25 mg led to complete resolution of lesions within 2-3 months. CONCLUSIONS: This case underscores the significance of maintaining vigilance for lichenoid reactions as potential sequelae of PD-1 inhibitor therapy. It highlights the variability in initial presentation and the potential for lesions to transform over time. Timely recognition and appropriate management, including high-potency topical corticosteroids and oral acitretin, are crucial for achieving favorable outcomes in patients experiencing such reactions. More studies are necessary to fully analyze the rate of HLP occurrence as a consequence of PD-1 inhibitor use.
Subject(s)
Antibodies, Monoclonal, Humanized , Carcinoma, Squamous Cell , Lichen Planus , Humans , Male , Middle Aged , Lichen Planus/chemically induced , Lichen Planus/pathology , Antibodies, Monoclonal, Humanized/adverse effects , Antibodies, Monoclonal, Humanized/therapeutic use , Carcinoma, Squamous Cell/drug therapy , Carcinoma, Squamous Cell/pathology , Carcinoma, Squamous Cell/chemically induced , Immune Checkpoint Inhibitors/adverse effects , Skin Neoplasms/drug therapy , Skin Neoplasms/pathology , Programmed Cell Death 1 Receptor/antagonists & inhibitorsABSTRACT
In 2009, we determined the effects of the enantiomeric composition of the kairomone, α-pinene, on trap catches of arboreal beetles (Coleoptera) in stands of eastern pine trees with resin dominated by (+)-α-pinene. We hypothesized that the responses of beetles would correlate with the predominant enantiomer of α-pinene found in host pines. Lures of (+)-, racemic (±), and (-)-α-pinene were added separately to ethanol-baited multiple-funnel traps. Species such as Monarthrum mali (Fitch), Dendroctonus terebrans (Olivier), Ips grandicollis (Eichhoff), and Pachylobius picivorus (Germar) (Coleoptera: Curculionidae) showed a preference for traps co-baited with (-)-α-pinene. α-Pinene enhanced attraction of Hylastes salebrosus Eichhoff, Hylastes porculus Erickson and Hylastes tenuis Eichhoff (Coleoptera: Curculionidae) to ethanol-baited traps with no effects from enantiomeric composition of α-pinene. The attraction of the ambrosia beetles, Xyleborinus saxesenii (Ratzeburg) and Dryoxylon onoharaense (Murayama) (Coleoptera: Curculionidae) to ethanol-baited traps was interrupted by the addition of α-pinene, regardless of enantiomeric composition. Species such as Xylosandrus germanus (Blandford), Cnestus mutilatus (Blandford) and Stenoscelis brevis (Boheman) (Coleoptera: Curculionidae) were unaffected by the presence of α-pinene. Trap catches of some species of longhorn beetles and bark beetle predators (Coleoptera: Cerambycidae, Cleridae, Elateridae, Histeridae, and Trogossitidae) were increased by the addition of α-pinene, although results varied by location. Platysoma spp. (Coleoptera: Histeridae) showed a marked preference for traps co-baited with (+)-α-pinene in Florida and Georgia. In summary, we found that the enantiomeric composition of α-pinene in hosts was not a good predictor of enantiomeric preferences by beetles.
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Bicyclic Monoterpenes , Coleoptera , Insect Control , Monoterpenes , Animals , Monoterpenes/pharmacology , Coleoptera/drug effects , Pheromones/pharmacology , Stereoisomerism , Weevils/drug effects , Pinus/chemistry , Ethanol/pharmacologyABSTRACT
Electrification to reduce or eliminate greenhouse gas emissions is essential to mitigate climate change. However, a substantial portion of our manufacturing and transportation infrastructure will be difficult to electrify and/or will continue to use carbon as a key component, including areas in aviation, heavy-duty and marine transportation, and the chemical industry. In this Roadmap, we explore how multidisciplinary approaches will enable us to close the carbon cycle and create a circular economy by defossilizing these difficult-to-electrify areas and those that will continue to need carbon. We discuss two approaches for this: developing carbon alternatives and improving our ability to reuse carbon, enabled by separations. Furthermore, we posit that co-design and use-driven fundamental science are essential to reach aggressive greenhouse gas reduction targets.
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Introduction Infertility affects an estimated 186 million individuals globally and is associated with numerous mental health issues. Trace elements are essential for reproductive health, yet the role of nickel in female fertility is not well understood. Previous research has shown conflicting evidence regarding nickel's impact on ovarian function and its potential to disrupt reproductive processes. Methods We utilized data from the National Health and Nutrition Examination Survey (NHANES) focusing on a cohort of 7,839 women, with an emphasis on 1,404 women aged 18 to 35. Logistic regression was employed to investigate the relationship between urinary nickel levels and fertility status, controlling for age, BMI, and race/ethnicity. Results The fertility analysis included 880 fertile and 106 infertile women, identifying age as a significant predictor of fertility status. Nickel exposure did not demonstrate a statistically significant association with fertility. The racial distribution within the groups showed a higher proportion of non-Hispanic White women in the fertile category and Mexican American women in the infertile group, although race was not a significant predictor in the regression model. Conclusions We found no significant relationship between nickel exposure and fertility status when adjusted for race, BMI, and age. Age was the only significant factor associated with fertility. These results highlight the complexity of the interplay between environmental exposures and reproductive health, suggesting that further research is necessary to elucidate the role of nickel and other trace elements in fertility.
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PURPOSE: To describe the incidence of reoperation and factors contributing to surgical revision within a minimum of 10 years after spinal fusion for scoliosis in patients with nonambulatory cerebral palsy (CP). METHODS: We conducted a retrospective review of consecutive nonambulatory patients with CP who underwent primary spinal fusion at a single specialty care center with a minimum of 10 years from their index surgery (surgery dates 2001-2011). Causes of reoperation were classified as implant failure/pseudoarthrosis, surgical site infection (SSI), proximal junctional kyphosis, prominent/symptomatic implants, and implant removal. Reoperation rates with 95% confidence intervals were calculated for each time interval, and an actuarial survival curve was generated. RESULTS: 144 patients met inclusion criteria (mean age = 14.3 ± 2.6 years, 62.5% male); 85.4% had 5 years follow-up data; and 66.0% had 10 years follow-up data. Estimates from the actuarial analysis suggest that 14.9% (95% CI: 10.0-22.0) underwent reoperation by 5 years postsurgery, and 21.7% (95% CI: 15.4-30.1) underwent reoperation by 10 years postsurgery. The most common causes for reoperation were implant failure/pseudoarthrosis, SSI, and prominent/symptomatic implants. CONCLUSIONS: To our knowledge, this study is the largest long-term follow-up of nonambulatory patients with CP and neuromuscular scoliosis who underwent spinal fusion. Approximately 22% of these patients required reoperation 10 years after their index surgery, primarily due to implant failure/pseudoarthrosis, SSI, and prominent/symptomatic implants. Complications and reoperations continued throughout the 10 years period after index surgery, reinforcing the need for long-term follow-up as these patients transition into adulthood. LEVEL OF EVIDENCE: III.
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Cerebral Palsy , Reoperation , Scoliosis , Spinal Fusion , Humans , Scoliosis/surgery , Cerebral Palsy/complications , Cerebral Palsy/surgery , Reoperation/statistics & numerical data , Spinal Fusion/methods , Spinal Fusion/statistics & numerical data , Spinal Fusion/adverse effects , Female , Male , Retrospective Studies , Adolescent , Child , Follow-Up Studies , Time Factors , Postoperative Complications/epidemiology , Postoperative Complications/etiology , Surgical Wound Infection/etiology , Surgical Wound Infection/epidemiologyABSTRACT
BACKGROUND: Health workforce projection models are integral components of a robust healthcare system. This research aims to review recent advancements in methodology and approaches for health workforce projection models and proposes a set of good practice reporting guidelines. METHODS: We conducted a systematic review by searching medical and social science databases, including PubMed, EMBASE, Scopus, and EconLit, covering the period from 2010 to 2023. The inclusion criteria encompassed studies projecting the demand for and supply of the health workforce. PROSPERO registration: CRD 42023407858. RESULTS: Our review identified 40 relevant studies, including 39 single countries analysis (in Australia, Canada, Germany, Ghana, Guinea, Ireland, Jamaica, Japan, Kazakhstan, Korea, Lesotho, Malawi, New Zealand, Portugal, Saudi Arabia, Serbia, Singapore, Spain, Thailand, UK, United States), and one multiple country analysis (in 32 OECD countries). Recent studies have increasingly embraced a complex systems approach in health workforce modelling, incorporating demand, supply, and demand-supply gap analyses. The review identified at least eight distinct types of health workforce projection models commonly used in recent literature: population-to-provider ratio models (n = 7), utilization models (n = 10), needs-based models (n = 25), skill-mixed models (n = 5), stock-and-flow models (n = 40), agent-based simulation models (n = 3), system dynamic models (n = 7), and budgetary models (n = 5). Each model has unique assumptions, strengths, and limitations, with practitioners often combining these models. Furthermore, we found seven statistical approaches used in health workforce projection models: arithmetic calculation, optimization, time-series analysis, econometrics regression modelling, microsimulation, cohort-based simulation, and feedback causal loop analysis. Workforce projection often relies on imperfect data with limited granularity at the local level. Existing studies lack standardization in reporting their methods. In response, we propose a good practice reporting guideline for health workforce projection models designed to accommodate various model types, emerging methodologies, and increased utilization of advanced statistical techniques to address uncertainties and data requirements. CONCLUSIONS: This study underscores the significance of dynamic, multi-professional, team-based, refined demand, supply, and budget impact analyses supported by robust health workforce data intelligence. The suggested best-practice reporting guidelines aim to assist researchers who publish health workforce studies in peer-reviewed journals. Nevertheless, it is expected that these reporting standards will prove valuable for analysts when designing their own analysis, encouraging a more comprehensive and transparent approach to health workforce projection modelling.
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Health Workforce , Humans , Health Workforce/standards , Health Services Needs and Demand , Delivery of Health Care/standards , Forecasting , Health Personnel , Models, TheoreticalABSTRACT
AIMS: To monitor severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) RNA contamination in vehicles operating in England during the pandemic, to better understand transmission risk of SARS-CoV-2 on public transport. METHODS AND RESULTS: We collected 1314 surface samples between December 2020 and April 2022 on trains and buses managed by five different transport operators. The presence of SARS-CoV-2 RNA was investigated through reverse transcription polymerase chain reaction (RT-PCR). SARS-CoV-2 RNA was found on 197 (15%) of the 1314 surfaces sampled, including seat head rests, handholds, and air extract grilles, but the levels of RNA recovered on those samples (median value of 23.4, interquartile range: 14.3-35.4, N gene copies per extraction) made the presence of infectious virus at the time of sampling extremely unlikely. However, detection rates varied over time with peaks broadly coinciding with times of high community transmission, when it was more likely that people infected with SARS-CoV-2 were travelling on public transport. CONCLUSION: During the pandemic, and as in other public spaces, low levels of SARS-CoV-2 RNA were found on surfaces associated with public transport.
Subject(s)
COVID-19 , RNA, Viral , SARS-CoV-2 , COVID-19/transmission , COVID-19/virology , COVID-19/epidemiology , SARS-CoV-2/genetics , SARS-CoV-2/isolation & purification , England/epidemiology , RNA, Viral/genetics , RNA, Viral/analysis , RNA, Viral/isolation & purification , Humans , Longitudinal Studies , Motor Vehicles , TransportationABSTRACT
A 77-year-old male presented with altered mentation and was diagnosed with infective endocarditis. Echocardiography revealed aortic valve vegetations. While receiving inpatient antibiotic therapy, the patient experienced an acute ischemic stroke. Magnetic resonance imaging of the brain showed punctate embolic-appearing infarcts in the right cerebellum and in the left occipital, frontal, and parietal lobes. Anticoagulation was not initiated due to a high risk of hemorrhagic transformation. He was readmitted after being discharged due to another episode of altered mentation. Repeat echocardiography indicated increased size of aortic valve vegetations. The patient was then transferred to our hospital for surgical intervention of enlarging vegetations, however was deemed unsuitable for surgery. During hospitalization, he suffered another embolic stroke in the right frontal lobe. By this time, the patient had completed a full course of antibiotics for infective endocarditis, and additional antibiotics were deemed unnecessary by our infectious disease specialists. Literature review highlighted that residual vegetations carry a higher risk for stroke, but no clear guidelines were found on how to intervene or assess the risk of hemorrhage with anticoagulation in this population. Consequently, a decision was made to initiate anticoagulation, Follow-up imaging revealed no evidence of hemorrhagic transformation. Subsequently, the patient remained stable and was discharged to a rehabilitation center, where he did not experience any further events.
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Introduction Prostate cancer and hepatitis C virus (HCV) infection stand as notable worldwide health issues. Investigating the connection between HCV infection and the risk of prostate cancer remains an ongoing endeavor, complicated by contradictory findings in prior research. It is imperative to comprehend this potential relationship in order to enhance strategies for prevention and treatment. This paper seeks to delve into the association between HCV infection and prostate cancer by analyzing data from the National Health and Nutrition Examination Survey (NHANES), a comprehensive cross-section of the US population. Methods Information extracted from the NHANES dataset encompassed the period spanning from March 2017 to March 2020, with a focus on the "medical conditions" and "hepatitis" segments. Employing logistic regression analysis, we aimed to discern the connection between HCV infection and the prior occurrence of prostate cancer. This analysis was conducted while factoring in variables such as weight, hypertension, hyperlipidemia, race, educational level, and marital status to ensure the accuracy of the findings. The results of this examination yielded adjusted odds ratios (OR), coefficients of association (B), and corresponding confidence intervals (CI). Results The outcomes derived from the comprehensive multivariate logistic regression analysis, utilizing NHANES data, indicated an absence of a statistically noteworthy correlation between HCV infection and the probability of prostate cancer occurrence. While accounting for diverse variables like weight, hypertension, hyperlipidemia, race, educational level, and marital status, no substantial relationship was observed between HCV infection and the risk of prostate cancer. These results are consistent with earlier investigations that similarly struggled to establish a definitive connection between HCV infection and the incidence of prostate cancer. Conclusion Drawing from NHANES data, this study indicates the absence of a substantial link between HCV infection and the incidence of prostate cancer. The divergent findings observed in prior research accentuate the intricate nature of the connection between HCV infection and prostate cancer. Future investigations should encompass more extensive sample sizes, prospective frameworks, and a meticulous assessment of potential variables that might confound the results. Furthermore, it is important to examine the potential protective impact of HCV infection due to antiviral interventions and its effect on the associated risk of prostate cancer. Such endeavors would offer valuable insights for individuals grappling with these health challenges.