Analyzing natural herd immunity media discourse in the United Kingdom and the United States

Natural herd immunity, where community-acquired infections in low-risk populations are used to protect high risk populations from infection–has seen high profile support in some quarters, including through the Great Barrington Declaration. However, this approach has been widely criticized as ineffective and misinformed. In this study, we examine media discourse around natural herd immunity in the United States (US) and United Kingdom (UK) to better understand how this approach was promoted. Country-specific news media publications between March 11, 2020 and January 31, 2021 were searched for references to herd immunity. News articles focused on herd immunity and including a stakeholder quote about herd immunity were collected, resulting in 400 UK and 144 US articles. Stakeholder comments were then coded by name, organization, organization type, and concept agreement or disagreement. Government figures and a small but vocal coalition of academics played a central role in promoting natural herd immunity in the news media whereas critics were largely drawn from academia and public health. These groups clashed on whether: natural herd immunity is an appropriate and effective pandemic response; the consequences of a lockdown are worse than those of promoting herd immunity; high-risk populations could be adequately protected; and if healthcare resources would be adequate under a herd immunity strategy. False balance in news media coverage of natural herd immunity as a pandemic response legitimized this approach and potentially undermined more widely accepted mitigation approaches. The ability to protect high risk populations while building herd immunity was a central but poorly supported pillar of this approach. The presentation of herd immunity in news media underscores the need for greater appreciation of potential harm of media representations that contain false balance.

Cytauxzoon europaeus infections in domestic cats in Switzerland and in European wildcats in France: a tale that started more than two decades ago

Background Cytauxzoon spp. infection is believed to be a newly emerging tick-borne disease in felids in Europe, with three species of the haemoparasite having recently been differentiated in wild felids. In Switzerland, rare infections have been documented in domestic cats in the west and northwest of the country, the first of which was in 2014. The aims of the present study were: (i) to characterize a Cytauxzoon spp. hotspot in domestic cats in central Switzerland; (ii) to elucidate the geographic distribution of Cytauxzoon spp. in domestic cats in Switzerland; (iii) to assess suspected high-risk populations, such as stray and anaemic cats; and (iv) to investigate the newly emerging nature of the infection. Cytauxzoon spp. were further differentiated using mitochondrial gene sequencing. Methods The overall study included samples from 13 cats from two households in central Switzerland (study A), 881 cats from all regions of Switzerland (study B), 91 stray cats from a hotspot region in the northwest of Switzerland and 501 anaemic cats from across Switzerland (study C), and 65 Swiss domestic cats sampled in 2003 and 34 European wildcats from eastern France sampled in the period 1995–1996 (study D). The samples were analysed for Cytauxzoon spp. using real-time TaqMan quantitative PCR, and positive samples were subjected to 18S rRNA, cytochrome b (CytB) and cytochrome c oxidase subunit I (COI) gene sequencing. Results In study A, six of 13 cats from two neighbouring households in central Switzerland tested postive for Cytauxzoon spp.; two of the six infected cats died from bacterial infections. In studies B and C, only one of the 881 cats (0.1%; 95% confidence interval [CI]: 0–0.3%) in the countrywide survey and one of the 501 anaemic cats (0.2%; 95% CI: 0–0.6%) tested postive for Cytauxzoon spp. while eight of the 91 stray cats in the northwest of Switzerland tested positive (8.8%; 95% CI: 3.0–14.6%). In study D, Cytauxzoon spp. was detected in one of the 65 domestic cat samples from 2003 (1.5%; 95% CI: 0–4.5%) and in ten of the 34 European wildcat samples from 1995 to 1996 (29%; 95% CI: 14.2–44.7%). The isolates showed ≥ 98.6% sequence identities among the 18S rRNA, CytB and COI genes, respectively, and fell in the subclade Cytauxzoon europaeus based on CytB and COI gene phylogenetic analyses. Conclusions The study challenges the newly emerging nature of Cytauxzoon spp. in central Europe and confirms that isolates from domestic cats in Switzerland and European wild felids belong to the same species. Graphical Abstract

Natural history and epidemiology of cleft lip and palate: a registry-based study in Iran (2000-19)

The aim of this study was to provide the natural history and epidemiology of cleft lip and cleft palate in the northwest region of Iran between 2000 and 2019. Since 2000, infants born with birth defects have been registered in the Tabriz Registry of Congenital Anomalies (TRoCA). For this study, the information and data were collected using the TRoCA registry system. Prevalence of cleft lip and cleft palate was 1.48 (95% CI 1.34; 1.62) per 1000 live births over the past two decades in the region. The occurrence of cleft lip and cleft palate was more common in males than females. The fetal death ratio was 5 percent of live born children. The proportion of infants with cleft lip and cleft palate surviving to the second week was 54 percent. The results may have a role in planning and evaluating the strategies for primary prevention of cleft lip and cleft palate, particularly in high-risk populations.

Machine Learning to Calculate Heparin Dose in COVID-19 Patients with Active Cancer

To realize a machine learning (ML) model to estimate the dose of low molecular weight heparin to be administered, preventing thromboembolism events in COVID-19 patients with active cancer. Methods: We used a dataset comprising 131 patients with active cancer and COVID-19. We considered five ML models: logistic regression, decision tree, random forest, support vector machine and Gaussian naive Bayes. We decided to implement the logistic regression model for our study. A model with 19 variables was analyzed. Data were randomly split into training (70%) and testing (30%) sets. Model performance was assessed by confusion matrix metrics on the testing data for each model as positive predictive value, sensitivity and F1-score. Results: We showed that the five selected models outperformed classical statistical methods of predictive validity and logistic regression was the most effective, being able to classify with an accuracy of 81%. The most relevant result was finding a patient-proof where python function was able to obtain the exact dose of low weight molecular heparin to be administered and thereby to prevent the occurrence of VTE. Conclusions: The world of machine learning and artificial intelligence is constantly developing. The identification of a specific LMWH dose for preventing VTE in very high-risk populations, such as the COVID-19 and active cancer population, might improve with the use of new training ML-based algorithms. Larger studies are needed to confirm our exploratory results.

Psychological Restorative Potential of a Pilot On-Campus Ecological Wetland in Malaysia

This study examines the perceptions and engagement tendencies of 788 university students, as well as their relationship with psychological distress, with respect to an on-campus ecological wetland. The students’ awareness, understanding, perceived importance, satisfaction level, and engagement tendency towards the ecological wetland were evaluated using a structured questionnaire. The psychological symptoms were assessed using the Rosenberg Self-Esteem and depression, anxiety, and stress scales, and the predictors of psychological distress were determined. The majority of the students were actively engaged (62.3%), aware (88.3%), and satisfied (51.0%) with the ecological wetland. Gender, age, educational attainment, engagement, perceived importance, and satisfaction level towards the ecological wetland were the predictors of psychological distress. The results outlined the environmental and mental restorative values of the ecological wetland in mediating psychological distress among the university students. These findings shed light on the necessity of preserving the sustainability and integrity of the on-campus ecological wetland. Longitudinal investigations to explore the restorative values of built environments and psychological wellbeing among high-risk populations are warranted.

Global Health Education and Best Practices for Neonatal-Perinatal Medicine Trainees

Neonatal-perinatal medicine (NPM) trainees are expressing an increased interest in global health. NPM fellowship programs are tasked with ensuring that interested fellows receive appropriate training and mentorship to participate in the global health arena. Global health engagement during fellowship varies based on a trainee’s experience level, career goals, and academic interests. Some trainees may seek active learning opportunities through clinical rotations abroad whereas others may desire engagement through research or quality improvement partnerships. To accommodate these varying interests, NPM fellows and training programs may choose to explore institutional partnerships, opportunities through national organizations with global collaborators, or domestic opportunities with high-risk populations. During any global health project, the NPM trainee needs robust mentorship from professionals at both their home institution and their partner international site. Trainees intending to use their global health project to fulfill the American Board of Pediatrics (ABP) scholarly activity requirement must also pay particular attention to selecting a project that is feasible during fellowship and also meets ABP criteria for board eligibility. Above all, NPM fellows and training programs should strive to ensure equitable, sustainable, and mutually beneficial collaborations.

Early Documentation of Life-Sustaining Treatment Orders Prior to Diagnosis of COVID-19 in Nursing Home Residents

Coronavirus disease 2019 (COVID-19) has had a devastating impact on older adult nursing home residents (NHR). NHRs comprise greater than one-third of COVID-19 U.S. deaths, emphasizing the importance of engaging in end-of-life discussions. At South Texas Veterans Health Care System (STVHCS), we implemented early documentation of patient’s Life-Sustaining Treatment (LST) or end-of-life goals-of-care preferences prior COVID-19 infection. We now aim to examine the association between early LST documentation (prior to COVID-19 diagnosis) and hospital admissions for COVID-19 by conducting a retrospective cohort study of Veteran NHRs at STVHCS from March 2020-January 2021. Inclusion criteria were NHRs with COVID-19 diagnosis, LST documentation, and clear timing of whether the LST documentation occurred before or after COVID-19 diagnosis. Logistic regression was used to determine the likelihood of hospitalization by whether LST was documented before or after COVID-19 diagnosis. 208 NHRs were diagnosed with COVID-19 and 160 (76.9%) had LST documentation. Of these, 148 were included in the analysis: 84 (56.8%) had a completed LST note prior to diagnosis and 64 (43.2%) after diagnosis. The hospitalization rate was 46% for those with LST prior to diagnosis compared to 78% in those with LST after diagnosis (OR = 0.24, 95% CI: 0.12-0.50, P<0.001), showing that early LST documentation was associated with 76% lower likelihood of hospitalization. Early interventions for LST documentation can reduce hospitalization in high-risk populations. These findings may have implications for reducing unnecessary hospitalizations, diminishing healthcare costs, and resolving ethical dilemmas related to potential resource allocation during a pandemic.

Solitary pulmonary nodule malignancy predictive models applicable to routine clinical practice: a systematic review

Background Solitary pulmonary nodule (SPN) is a common finding in routine clinical practice when performing chest imaging tests. The vast majority of these nodules are benign, and only a small proportion are malignant. The application of predictive models of nodule malignancy in routine clinical practice would help to achieve better diagnostic management of SPN. The present systematic review was carried out with the purpose of critically assessing studies aimed at developing predictive models of solitary pulmonary nodule (SPN) malignancy from SPN incidentally detected in routine clinical practice. Methods We performed a search of available scientific literature until October 2020 in Pubmed, SCOPUS and Cochrane Central databases. The inclusion criteria were observational studies carried out in low-risk population from 35 years old onwards aimed at constructing predictive models of malignancy of pulmonary solitary nodule detected incidentally in routine clinical practice. Studies had to be published in peer-reviewed journals, either in Spanish, Portuguese or English. Exclusion criteria were non-human studies, or predictive models based in high-risk populations, or models based on computational approaches. Exclusion criteria were non-human studies, or predictive models based in high-risk populations, or models based on computational approaches (such as radiomics). We used The Transparent Reporting of a multivariable Prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement, to describe the type of predictive model included in each study, and The Prediction model Risk Of Bias ASsessment Tool (PROBAST) to evaluate the quality of the selected articles. Results A total of 186 references were retrieved, and after applying the exclusion/inclusion criteria, 15 articles remained for the final review. All studies analysed clinical and radiological variables. The most frequent independent predictors of SPN malignancy were, in order of frequency, age, diameter, spiculated edge, calcification and smoking history. Variables such as race, SPN growth rate, emphysema, fibrosis, apical scarring and exposure to asbestos, uranium and radon were not analysed by the majority of the studies. All studies were classified as high risk of bias due to inadequate study designs, selection bias, insufficient population follow-up and lack of external validation, compromising their applicability for clinical practice. Conclusions The studies included have been shown to have methodological weaknesses compromising the clinical applicability of the evaluated SPN malignancy predictive models and their potential influence on clinical decision-making for the SPN diagnostic management. Systematic review registration PROSPERO CRD42020161559

Current and Future Directions of Breast MRI

Magnetic resonance imaging (MRI) is the most sensitive exam for detecting breast cancer. The American College of Radiology recommends women with 20% or greater lifetime risk of developing breast cancer be screened annually with MRI. However, other high-risk populations would also benefit. Hartmann et al. reported women with atypical hyperplasia have nearly a 30% incidence of breast cancer at 25-year follow-up. Women with dense breast tissue have up to a 4-fold increased risk of breast cancer when compared to average-risk women; their cancers are more likely to be mammographically occult. Because multiple cohorts of women are at high risk for developing breast cancer, there has been a movement to develop an abbreviated MRI (abMRI) protocol to expand the availability of MRI screening. Studies on abMRI effectiveness have been promising, with Weinstein et al. demonstrating a cancer detection rate of 27.4/1000 in women with dense breasts after a negative digital breast tomosynthesis. Breast MRI is also used to evaluate the extent of disease as part of preoperative assessment in women with newly diagnosed breast cancer, and to assess a patient’s response to neoadjuvant chemotherapy. This paper aims to explore the current uses of MRI and propose future indications and directions.