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Immunohistochemistry (IHC) is used to guide treatment decisions in multiple cancer types. For treatment with checkpoint inhibitors, programmed death ligand 1 (PD-L1) IHC is used as a companion diagnostic. However, the scoring of PD-L1 is complicated by its expression in cancer and immune cells. Separation of cancer and noncancer regions is needed to calculate tumor proportion scores (TPS) of PD-L1, which is based on the percentage of PD-L1-positive cancer cells. Evaluation of PD-L1 expression requires highly experienced pathologists and is often challenging and time-consuming. Here, we used a multi-institutional cohort of 77 lung cancer cases stained centrally with the PD-L1 22C3 clone. We developed a 4-step pipeline for measuring TPS that includes the coregistration of hematoxylin and eosin, PD-L1, and negative control (NC) digital slides for exclusion of necrosis, segmentation of cancer regions, and quantification of PD-L1+ cells. As cancer segmentation is a challenging step for TPS generation, we trained DeepLab V3 in the Visiopharm software package to outline cancer regions in PD-L1 and NC images and evaluated the model performance by mean intersection over union (mIoU) against manual outlines. Only 14 cases were required to accomplish a mIoU of 0.82 for cancer segmentation in hematoxylin-stained NC cases. For PD-L1-stained slides, a model trained on PD-L1 tiles augmented by registered NC tiles achieved a mIoU of 0.79. In segmented cancer regions from whole slide images, the digital TPS achieved an accuracy of 75% against the manual TPS scores from the pathology report. Major reasons for algorithmic inaccuracies include the inclusion of immune cells in cancer outlines and poor nuclear segmentation of cancer cells. Our transparent and stepwise approach and performance metrics can be applied to any IHC assay to provide pathologists with important insights on when to apply and how to evaluate commercial automated IHC scoring systems.
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Antígeno B7-H1 , Imuno-Histoquímica , Neoplasias Pulmonares , Aprendizado de Máquina , Humanos , Antígeno B7-H1/metabolismo , Antígeno B7-H1/análise , Imuno-Histoquímica/métodos , Neoplasias Pulmonares/metabolismo , Neoplasias Pulmonares/patologia , Inteligência Artificial , Biomarcadores Tumorais/metabolismo , Biomarcadores Tumorais/análiseRESUMO
BACKGROUND: We aimed to identify combinations of long-term services and supports (LTSS) Veterans use, describe transitions between groups, and identify factors influencing transition. METHODS: We explored LTSS across a continuum from home to institutional care. Analyses included 104,837 Veterans Health Administration (VHA) patients 66 years and older at high-risk of long-term institutional care (LTIC). We conduct latent class and latent transition analyses using VHA and Medicare data from fiscal years 2014 to 2017. We used logistic regression to identify variables associated with transition. RESULTS: We identified 5 latent classes: (1) No Services (11% of sample in 2015); (2) Medicare Services (31%), characterized by using LTSS only in Medicare; (3) VHA-Medicare Care Continuum (19%), including LTSS use in various settings across VHA and Medicare; (4) Personal Care Services (21%), characterized by high probabilities of using VHA homemaker/home health aide or self-directed care; and (5) Home-Centered Interdisciplinary Care (18%), characterized by a high probability of using home-based primary care. Veterans frequently stayed in the same class over the three years (30% to 46% in each class). Having a hip fracture, self-care impairment, or severe ambulatory limitation increased the odds of leaving No Services, and incontinence and dementia increased the odds of entering VHA-Medicare Care Continuum. Results were similar when restricted to Veterans who survived during all 3 years of the study period. CONCLUSIONS: Veterans at high risk of LTIC use a combination of services from across the care continuum and a mix of VHA and Medicare services. Service patterns are relatively stable for 3 years.
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Aging Veterans face complex needs across multiple domains. However, the needs of older female Veterans and the degree to which unmet needs differ by sex are unknown. We analyzed responses to the HERO CARE survey from 7,955 Veterans aged 55 years and older (weighted N = 490,148), 93.9% males and 6.1% females. We evaluated needs and unmet needs across the following domains: activities of daily living (ADLs), instrumental ADLs (IADLs), health management, and social. We calculated weighted estimates and compared sex differences using age-adjusted prevalence ratios. On average, female Veterans were younger, more were Non-Hispanic Black and unmarried. Females and males reported a similar prevalence of problems across all domains. However, compared to males, female Veterans had a lesser prevalence of missed appointments due to transportation (aPR 0.49; 95% CI: 0.26-0.92), housework unmet needs (aPR: 0.44; 95% CI: 0.20-0.97), and medication management unmet needs (aPR: 0.33; 95% CI: 0.11-0.95) but a higher prevalence of healthcare communication unmet needs (aPR: 2.40; 95% CI: 1.13-5.05) and monitoring health conditions unmet needs (aPR: 2.13, 95% CI: 1.08-4.20). Female Veterans' common experience of unmet needs in communicating with their healthcare teams could result in care that is less aligned with their preferences or needs. As the number of older female Veterans grows, these data and additional work to understand sex-specific unmet needs and ways to address them are essential to providing high-quality care for female Veterans.
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Problem: Visual racism refers to both the underrepresentation and inappropriate representation of darker skin types in medical education. By not teaching medical students and resident physicians to recognize common conditions in darker skin, it perpetuates biases that contribute to healthcare disparities for racial and ethnic minoritized groups. In this paper we describe our efforts to engage in institutional anti-racism work by addressing imbalances in representation of darker skin types in visual teaching images within our institution's curriculum. Intervention: We initially surveyed preclinical medical students regarding their perceptions of skin color representation in two courses. Researchers recorded the skin types of all teaching photographs in these courses in 2020. We then provided feedback and education to faculty, proposing that they increase brown and black skin color representation in educational content. During 2021, we reviewed the same courses and surveyed students again to ascertain the implementation and impact of our proposal. Context: We applied our intervention to two courses, Host & Defense (H&D) and Skin, Muscle, Bone, and Joint (SMBJ) since both courses utilize a large number of teaching images. Impact: From 2020 to 2021, both H&D and SMBJ significantly increased the proportion of visual teaching images that included darker skin types, with an increase from 28% to 42% in H&D and 20% to 30% in SMBJ. Significantly more students in the courses' 2021 iterations (73% in H&D, 93% in SMBJ) felt that lectures had appropriate representations of darker skin types when compared to students who took the course in 2020 (8% in H&D, 51% in SMBJ). Students in 2021 felt more confident in recognizing dermatological signs and symptoms in patients with darker skin than students in 2020. The majority of students in both 2020 and 2021 reported wanting to see a gradient of skin types for every dermatological condition discussed. Lessons learned: Our work suggests that addressing visual racism can be achieved partly by setting expectations for increased visual representation, collaborating across educational departments, and establishing clear metrics for assessing implementation. Future interventions will require a continual feedback loop of monitoring learning material, assessing faculty and student perception, refining resources, and recommending revisions to improve visual representation across the entire curriculum.
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BACKGROUND: Free tissue transfer is utilized as a reconstructive option for various anatomic defects. While it has long been performed in adults, reconstructive surgeons have used free tissue transfer to a lesser degree in children. As such, there are few analyses of factors associated with complications in free tissue transfer within this population. The aim of this study is to assess factors associated with readmission and reoperation in pediatric free flap patients utilizing the pediatric National Surgical Quality Improvement Program database. METHODS: Pediatric patients who underwent microvascular reconstruction between 2015 and 2020 were included. Patients were identified by five microvascular reconstruction Current Procedural Terminology codes and were then stratified by flap site (head and neck, extremities, trunk) and defect etiology (congenital, trauma, infection, neoplasm). Multivariate logistic regression was performed to identify factors associated with readmissions and reoperations. RESULTS: The study cohort consisted of 258 patients. The average age was 10.0 ± 4.7 years and the majority of patients were male (n = 149, 57.8%), were of white race (n = 164, 63.6%), and had a normal body mass index. Twenty-two patients (8.5%) experienced an unplanned readmission within 30 days of the initial operation, most commonly for wound disruption (31.8% of readmissions). The overall rate of unplanned reoperation within 30 days was 11.6% (n = 30) for all patients, with an average of 8.9 ± 7.5 days to reoperation. On multivariate regression analysis, each hour increase in operative time was associated with an increased odds of reoperation (odds ratio [OR]: 1.27; 95% confidence interval [CI]: 1.12, 1.45) and readmission (OR: 1.16; 95% CI: 1.02, 1.34). CONCLUSION: In pediatric patients undergoing free tissue transfer, higher readmission and reoperation risk was associated with longer operative duration. Overall, free tissue transfer is safe in the pediatric population with relatively low rates of readmission and reoperation.
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Retalhos de Tecido Biológico , Readmissão do Paciente , Adulto , Humanos , Masculino , Criança , Feminino , Pré-Escolar , Adolescente , Reoperação , Fatores de Risco , Complicações Pós-Operatórias/epidemiologia , Estudos RetrospectivosRESUMO
PURPOSE: To evaluate the incidence of severe ocular injury requiring emergent ophthalmic evaluation in visually asymptomatic patients presenting with orbital fractures. METHODS: We performed a retrospective chart review of all adult and pediatric orbital fractures between 2012-2022 at a level 1 trauma center. Ocular injuries were categorized into severe, moderate, and mild. We evaluated symptoms, mechanism of injury, visual acuity (VA), and severity of injuries using the Cochran-Armitage and linear-by-linear tests. RESULTS: Of the 2495 cases, 1534 had ophthalmology evaluation. The mean ± standard deviation age was 40.4 ± 20.4 years. Most patients were male (73.1%) and Caucasian (75.9%). The mean time to evaluation was 0.6 ± 2.5 days. 486 (31.7%) were visually symptomatic, 760 (49.5%) were asymptomatic, and 288 (18.8%) were unknown. Of the symptomatic, 135 (27.8%) had severe injuries, 108 (22.2%) had moderate injuries, 216 (44.4%) had mild injuries, and 27 (5.6%) had no injuries. Of the asymptomatic, 67 (8.8%) had severe injuries, 183 (24.1%) had moderate injuries, 468 (61.6%) had mild injuries, and 42 (5.5%) had no injuries. Symptoms correlated with injury severity (p-value <.001). The most common mechanism of injury were falls (24.0%), assaults (22.2%), and motor vehicle accidents (14.8%). CONCLUSIONS: Visually asymptomatic orbital fractures were less likely to have severe ocular injuries; however, many patients were unable to express symptoms. Emergent ophthalmology evaluation should be considered in all patients presenting with orbital fractures, especially patients with visual symptoms or are unable to report symptoms.
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Traumatismos Oculares , Fraturas Orbitárias , Humanos , Adulto , Masculino , Criança , Adulto Jovem , Pessoa de Meia-Idade , Feminino , Fraturas Orbitárias/epidemiologia , Fraturas Orbitárias/complicações , Incidência , Estudos Retrospectivos , Traumatismos Oculares/epidemiologia , Traumatismos Oculares/etiologia , Acuidade VisualRESUMO
Serosurveillance is an important epidemiologic tool for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), used to estimate infection rates and the degree of population immunity. There is no general agreement on which antibody biomarker(s) should be used, especially with the rollout of vaccines globally. Here, we used random forest models to demonstrate that a single spike or receptor-binding domain (RBD) antibody was adequate for classifying prior infection, while a combination of two antibody biomarkers performed better than any single marker for estimating time-since-infection. Nucleocapsid antibodies performed worse than spike or RBD antibodies for classification, but can be useful for estimating time-since-infection, and in distinguishing infection-induced from vaccine-induced responses. Our analysis has the potential to inform the design of serosurveys for SARS-CoV-2, including decisions regarding a number of antibody biomarkers measured.
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Anticorpos Antivirais/sangue , COVID-19/epidemiologia , SARS-CoV-2/imunologia , Adulto , Idoso , Idoso de 80 Anos ou mais , Biomarcadores , Feminino , Humanos , Imunoglobulina G/sangue , Masculino , Pessoa de Meia-Idade , Estudos Soroepidemiológicos , Glicoproteína da Espícula de Coronavírus/imunologia , Fatores de TempoRESUMO
PURPOSE: The COVID-19 pandemic led to unprecedented changes in volume and quality of surgery. Utilizing the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database, the current study assesses the impact of COVID-19 on surgical volume during each quarter of 2020 in comparison to 2019. Quality of surgical care during 2020 was also investigated by assessing postoperative complications, readmissions, and reoperations during 2020 in comparison to the previous 5 years. MATERIALS AND METHODS: The NSQIP database was queried from 2015 to 2020. Descriptive statistics and a chi-squared test were utilized to compare demographic variables. A seasonal autoregressive integrated moving average time-series model was fit to assess the trend and seasonality of complications from 2015 to 2019 and was used to forecast the proportion of complications in the year 2020 and compared the forecast with the actual proportions graphically. RESULTS: There were fewer patients operated on in 2020 compared to 2019, with the most dramatic drop in Q2 with a nearly 27% decrease. Patients with ASA class 3 or greater were operated on at a greater proportion in every quarter of 2020. Q2 of 2020 represented the highest proportion of any operative complications since 2015 at ~13%. Q4 of 2020 demonstrated a return to 2020 Q1 complication proportions. CONCLUSION: Surgical volume was heavily affected in 2020, particularly in Q2. Patients during Q2 of 2020 were generally of a higher ASA class and had increased operative complications. Operative volume and overall surgical complication rate normalized over the next two quarters.
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COVID-19 , Humanos , COVID-19/epidemiologia , Pandemias , Complicações Pós-Operatórias/epidemiologia , Reoperação , Melhoria de Qualidade , Estudos RetrospectivosRESUMO
BACKGROUND: Sharp edge eye syndrome (SEES), sometimes known as visual looming syndrome, is a condition in which the patient experiences ocular pain or discomfort when viewing or mentally picturing sharp objects and edges. Patients may present for medical care because they perceive the condition to represent an ophthalmic problem or a sign of a more serious underlying condition. An individual case report of SEES is included to aid in illustrating syndrome characteristics. Our aim is to describe the syndrome, vision-related quality of life (VRQOL), and psychosocial characteristics in patients with self-identified SEES. METHODS: A cross-sectional web-based survey was made available on social media webpages dedicated to SEES. The study included 22 questions developed by the research team, demographic questions, and 4 standardized questionnaires [ID Migraine, the National Eye Institute's Visual Function Questionnaire (NEI-VFQ-25), General Anxiety Disorder-2 (GAD-2), and Patient Health Questionnaire (depression) Scale-2]. RESULTS: Seventy-seven respondents had an average age of 29 and were 57% male. 92% reported symptoms before age 18. The main site of pain or discomfort was the eyes, with onset resulting from viewing or thinking of sharp objects and edges. Symptoms lasted from seconds to hours and could be prolonged even after closing eyes or avoiding viewing the trigger. The composite and subscale scores on the NEI-VFQ-25 were low, with a mean composite score of 78 and selected subscores of general health (61), general vision (73), ocular pain (68), driving (79), mental health (61), and role difficulties (72). Anxiety was reported in 58% of participants, and depression in 57%. Migraine or headache was reported in 46% of participants. Participants reported Alice in Wonderland syndrome, visual snow, obsessive-compulsive disorder, attention deficit hyperactivity disorder, stripe-induced visual discomfort, and synesthesia. CONCLUSION: From this survey, we have the beginnings of an understanding of the characteristics of SEES, as well as VRQOL impacts. These survey responses lead us to postulate that SEES may be a distinct visual phenomenon and to propose SEES criteria. Systematic studies of this condition's clinical features and treatment responses will be additional steps toward improving patient care.
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Transtornos de Enxaqueca , Qualidade de Vida , Humanos , Masculino , Adulto , Adolescente , Feminino , Estudos Transversais , Inquéritos e Questionários , Dor Ocular/diagnóstico , DorRESUMO
BACKGROUND/OBJECTIVES: The utility of ancillary testing in improving diagnostic precision or improving patient outcomes in staphylococcal scalded skin syndrome (SSSS) is unclear. Similarly, an optimal antibiotic regimen has yet to be established. Our goal was to describe clinical characteristics and ancillary work-up of SSSS, report bacterial resistance patterns, and examine patient outcomes under varying therapeutic strategies with the aim of developing an evidence-based management algorithm. METHODS: We performed a retrospective review of pediatric patients diagnosed with SSSS at Intermountain Healthcare facilities between 2010 and 2021. A Kruskal-Wallis rank sum test was used to assess median length of stay between different antibiotic regimens. RESULTS: Eighty-five cases were identified. The most common ancillary tests obtained were a complete blood count (88%), followed by chemistry analysis (80%). Blood cultures were collected in more patients (79%) compared to aerobic cultures (60%). No blood culture was positive for Staphylococcus aureus. All S. aureus isolates were methicillin-sensitive. Of those found resistant to clindamycin (36%), all demonstrated macrolide-induced clindamycin resistance. None were constitutively resistant to clindamycin. There was no statistical difference between antibiotic regimen and length of stay (p = .691). Receiving opiate medications was the only risk factor associated with prolonged hospitalization (p = .001). CONCLUSIONS: Ancillary testing does not improve diagnostic precision and can be reduced. Clindamycin does not improve patient outcomes, suggesting beta-lactams should be considered first line. Susceptibility patterns in our cohort demonstrate inducible clindamycin resistance as opposed to constitutive.
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Infecções Estafilocócicas , Síndrome da Pele Escaldada Estafilocócica , Humanos , Criança , Síndrome da Pele Escaldada Estafilocócica/diagnóstico , Síndrome da Pele Escaldada Estafilocócica/tratamento farmacológico , Clindamicina/uso terapêutico , Staphylococcus aureus , Antibacterianos/uso terapêuticoRESUMO
BACKGROUND: The use of cognitive-enhancing medications and supplements among healthy adults continues to rise. Limited data exists on their use among resident physicians. Given their highly competitive and stressful lifestyle, we sought to evaluate the prevalence, motivations, and side effects of using cognitive-enhancing supplements and medications among resident physicians at a large United States academic institution. METHODS: An anonymous web-based survey was circulated to resident physicians inquiring about using cognitive-enhancing supplements and medications, as well as personal characteristics such as gender, marital and parental status, medical diagnoses, and medical specialty. Before circulation, we performed a pilot study. Weighted logistic regression analyses estimated the impact of personal characteristics on the probability of using both supplements and medications. RESULTS: Survey response rate was 46.4%. Of respondents, 48.6% were female, 45.9% were married, 70.9% were without children, and 67.2% were in a non-surgical medical specialty. Few respondents had a related medical diagnosis, with attention deficit hyperactivity disorder being the most common (7.1%). Male, non-married, surgical residents were more likely to take supplements (odds ratio (OR) = 1.06, 1.05, and 1.05). Males, without children, and those who felt pressure to perform well, were afraid of being left behind, felt pressure because colleagues take them, or felt they could not reach their current level of training without medications were more likely to take medications (OR = 1.11, 1.04, 1.05, and 1.08). Adverse effects with medications were common. CONCLUSION: Supplement and medication use for cognitive enhancement was high among resident physicians at a single institution despite few having a related medical diagnosis. This study raises awareness of the growing pressure in competitive residency environments to use cognitive enhancement regardless of the potential side effects.
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Internato e Residência , Médicos , Adulto , Criança , Masculino , Estados Unidos , Humanos , Feminino , Projetos Piloto , Inquéritos e Questionários , Médicos/psicologia , CogniçãoRESUMO
BACKGROUND: Prompt identification of infections is critical for slowing the spread of infectious diseases. However, diagnostic testing shortages are common in emerging diseases, low resource settings, and during outbreaks. This forces difficult decisions regarding who receives a test, often without knowing the implications of those decisions on population-level transmission dynamics. Clinical prediction rules (CPRs) are commonly used tools to guide clinical decisions. METHODS: Using early severe acute respiratory syndrome coronavirus disease 2 (SARS-CoV-2) as an example, we used data from electronic health records to develop a parsimonious 5-variable CPR to identify those who are most likely to test positive. To consider the implications of gains in daily case detection at the population level, we incorporated testing using the CPR into a compartmentalized model of SARS-CoV-2. RESULTS: We found that applying this CPR (area under the curve, 0.69; 95% confidence interval, .68-.70) to prioritize testing increased the proportion of those testing positive in settings of limited testing capacity. We found that prioritized testing led to a delayed and lowered infection peak (ie, "flattens the curve"), with the greatest impact at lower values of the effective reproductive number (such as with concurrent community mitigation efforts), and when higher proportions of infectious persons seek testing. In addition, prioritized testing resulted in reductions in overall infections as well as hospital and intensive care unit burden. CONCLUSION: We highlight the population-level benefits of evidence-based allocation of limited diagnostic capacity.SummaryWhen the demand for diagnostic tests exceeds capacity, the use of a clinical prediction rule to prioritize diagnostic testing can have meaningful impact on population-level outcomes, including delaying and lowering the infection peak, and reducing healthcare burden.
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COVID-19 , SARS-CoV-2 , Regras de Decisão Clínica , Técnicas e Procedimentos Diagnósticos , Testes Diagnósticos de Rotina , Hospitais , HumanosAssuntos
COVID-19 , SARS-CoV-2 , Humanos , Estudos Soroepidemiológicos , COVID-19/epidemiologia , AnticorposRESUMO
Among 111 children presenting with bloody diarrhea in a multicenter study of molecular testing in US emergency departments, we found viral pathogens in 18%, bacteria in 48%, protozoa in 2%, and no pathogens detected in 38%.
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Background: Sepsis is a leading cause of paediatric mortality worldwide, disproportionately affecting children in low- and middle-income countries. The impacts of climate change on the burden and outcomes of sepsis in low- and middle-income countries, particularly in paediatric populations, remain poorly understood. We aimed to assess the associations between climate variables (temperature and precipitation) and paediatric sepsis incidence and mortality in Bangladesh, one of the countries most affected by climate change. Methods: We conducted retrospective analyses of patient-level data from the International Centre for Diarrhoeal Disease Research, Bangladesh, and environmental data from the National Oceanic and Atmospheric Administration. Using random forests, we assessed associations between sepsis incidence and sepsis mortality with temperature and precipitation between 2009-22. Results: A nonlinear relationship between temperature and sepsis incidence and mortality was identified. The lowest incidence occurred at an optimum temperature of 26.6°C with a gradual increase below and a sharp rise above this temperature. Higher precipitation levels showed a general trend of increased sepsis incidence. A similar distribution for sepsis mortality was identified with an optimum temperature of 28°C. Conclusions: Findings suggest that environmental temperature and precipitation play a role in paediatric sepsis incidence and sepsis mortality in Bangladesh. As children are particularly vulnerable to climate impacts, it is important to consider climate change in health care planning and resource allocation, especially in resource-limited settings, to allow for surge capacity planning during warmer and wetter seasons. Further prospective research from more globally representative data sets will provide more robust evidence on the nature of the relationships between climate variables and paediatric sepsis worldwide.
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Mudança Climática , Sepse , Humanos , Bangladesh/epidemiologia , Sepse/mortalidade , Sepse/epidemiologia , Incidência , Estudos Retrospectivos , Lactente , Pré-Escolar , Criança , Temperatura , Masculino , Feminino , Recém-Nascido , Adolescente , Índice de Gravidade de Doença , Modelos TeóricosRESUMO
The differentiation of dengue virus (DENV) infection, a major cause of acute febrile illness in tropical regions, from other etiologies, may help prioritize laboratory testing and limit the inappropriate use of antibiotics. While traditional clinical prediction models focus on individual patient-level parameters, we hypothesize that for infectious diseases, population-level data sources may improve predictive ability. To create a clinical prediction model that integrates patient-extrinsic data for identifying DENV among febrile patients presenting to a hospital in Thailand, we fit random forest classifiers combining clinical data with climate and population-level epidemiologic data. In cross-validation, compared to a parsimonious model with the top clinical predictors, a model with the addition of climate data, reconstructed susceptibility estimates, force of infection estimates, and a recent case clustering metric significantly improved model performance.
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Vírus da Dengue , Dengue , Humanos , Dengue/diagnóstico , Dengue/epidemiologia , Modelos Estatísticos , Prognóstico , Clima , FebreRESUMO
Mechanical unloading and circulatory support with left ventricular assist devices (LVADs) mediate significant myocardial improvement in a subset of advanced heart failure (HF) patients. The clinical and biological phenomena associated with cardiac recovery are under intensive investigation. Left ventricular (LV) apical tissue, alongside clinical data, were collected from HF patients at the time of LVAD implantation (n=208). RNA was isolated and mRNA transcripts were identified through RNA sequencing and confirmed with RT-qPCR. To our knowledge this is the first study to combine transcriptomic and clinical data to derive predictors of myocardial recovery. We used a bioinformatic approach to integrate 59 clinical variables and 22,373 mRNA transcripts at the time of LVAD implantation for the prediction of post-LVAD myocardial recovery defined as LV ejection fraction (LVEF) ≥40% and LV end-diastolic diameter (LVEDD) ≤5.9cm, as well as functional and structural LV improvement independently by using LVEF and LVEDD as continuous variables, respectively. To substantiate the predicted variables, we used a multi-model approach with logistic and linear regressions. Combining RNA and clinical data resulted in a gradient boosted model with 80 features achieving an AUC of 0.731±0.15 for predicting myocardial recovery. Variables associated with myocardial recovery from a clinical standpoint included HF duration, pre-LVAD LVEF, LVEDD, and HF pharmacologic therapy, and LRRN4CL (ligand binding and programmed cell death) from a biological standpoint. Our findings could have diagnostic, prognostic, and therapeutic implications for advanced HF patients, and inform the care of the broader HF population.
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Immunohistochemistry (IHC) highlights specific cell types in tissues and traditionally involves antibody staining together with a hematoxylin counterstain. The intensity and pattern of hematoxylin staining differs between cell types and reveals morphological characteristics of cells. Here, we propose that features in the hematoxylin stain can be used to predict IHC labels, such as Neurofibromin (encoded by the gene NF1). The dataset consists of 7.2 million cells from benign and kidney cancer cores in a tissue microarray. Morphology and hematoxylin (H&M) features defined within QuPath are subjected to a clustering analysis in CytoMap. H&M features are also used to train 4 different XGBoost models to predict high, low, and negative NF1 stain classes in benign renal tubules, clear cell (ccRCC), papillary (PRCC), and chromophobe (ChRCC) renal carcinoma. The prediction accuracies of NF1 staining classes in benign, ccRCC, ChRCC, and PRCC range between 70% and 90% with areas under the precision recall curve PRAUCNF1-high = 0.82+0.12, PRAUCNF1-low = 0.62+0.25, and PRAUCNF1-negative = 0.83+0.16. The most important feature for predicting the NF1 class involves the minimum cellular hematoxylin staining intensity. Together, these results demonstrate the feasibility to predict NF1 expression solely from features in hematoxylin staining using open source software. Since the hematoxylin features can be obtained from regular H&E and IHC slides, the proposed workflow has broad applicability.
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Introduction: Ethical and professional dilemmas are part of the day-to-day practice of medicine, including within dermatopathology (e.g., ethical implications of self-referring skin biopsies for pathology interpretation). There is a need for teaching aids that dermatology educators can easily access to help provide ethics education. Methods: We held an hour-long, faculty-facilitated, interactive, virtual discussion about ethical issues in dermatopathology. The session followed a structured, case-based format. We administered anonymous online feedback surveys after the session and used the Wilcoxon signed rank test to compare participants' before and after responses. Results: Seventy-two individuals from two academic institutions participated in the session. We collected 35 total responses (49%) from dermatology residents (n = 15), dermatology faculty (n = 14), medical students (n = 2), and other providers and learners (n = 4). Feedback was largely positive, with 21 attendees (60%) indicating they learned a few things and 11 (31%) indicating they learned a great deal. Additionally, 32 participants (91%) indicated they would recommend the session to a colleague. Our analysis showed that attendees had a greater self-perceived level of achievement for each of our three objectives after the session. Discussion: This dermatoethics session is structured so as to be easily shared, deployed, and built on by other institutions. We hope that other institutions will use our materials and results to improve upon the foundation presented here and that this framework will be used by other medical specialties seeking to foster ethics education in their training programs.
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Currículo , Medicina , Humanos , Ética Médica , Docentes , Instituições AcadêmicasRESUMO
OBJECTIVES: To evaluate the associations between specific functional needs of older Veterans and the desire to institutionalize (DTI) among their caregivers. METHODS: Cross-sectional multivariable logistic regression analysis of 3579 Hero Care survey responses from caregivers of Veterans at five US sites from July to December 2021. Unmet needs were areas in which the caregiver reported the Veteran needed a little more or a lot more help. Caregiver DTI was defined as the caregiver reporting that they had discussed, considered, or taken steps toward a nursing home or assisted living placement for the Veteran or that they felt the Veteran would be better off in such a setting or they were likely to move the Veteran to another living arrangement. RESULTS: Caregivers were largely white, retired, females with an average age of 71 and with some college education who spent an average of 8-9 h per day 6 days a week caring for a Veteran spouse. There was evidence of associations between the following needs and a DTI: managing incontinence, using the telephone, transportation, and arranging services in the home such as visiting nurses, home care aides, or meals on wheels. Unmet functional needs in other selected domains were not associated with the DTI. CONCLUSION: Among caregivers of older Veterans, a need for more assistance managing incontinence, telephone use, transportation, and arranging in-home services were associated with the DTI. These may represent functional markers of important clinical determinants for institutionalization as well as potential targets for intervention to reduce caregiver DTI, such as programs that provide more caregiver or Veteran support in the home to meet these needs and reduce caregiver burden.