Niche breadth specialization impacts ecological and evolutionary adaptation following environmental change.

Ecological theory predicts that organismal distribution and abundance depend on the ability to adapt to environmental change. It also predicts that eukaryotic specialists and generalists will dominate in extreme environments or following environmental change, respectively. This theory has attracted little attention in prokaryotes, especially in archaea, which drive major global biogeochemical cycles.

The Association Between Completion of Supervised Exercise Therapy and Long-Term Outcomes in Patients with Intermittent Claudication, Concomitant Sarcopenia, and Cardiometabolic Multimorbidity.

Introduction: The combination of intermittent claudication (IC), cardiometabolic multimorbidity (CMM), and sarcopenia is associated with worse outcomes than IC alone. This study aimed to identify whether the completion of supervised exercise therapy (SET) attenuates these adverse outcomes in patients with combined IC, sarcopenia, and CMM.

Methods: This registry review included consecutive IC patients with concomitant CMM and sarcopenia, who were referred for SET from 2014 to 2017.

A concept for international societally relevant microbiology education and microbiology knowledge promulgation in society.

Executive Summary: Microbes are all pervasive in their distribution and influence on the functioning and well-being of humans, life in general and the planet. Microbially-based technologies contribute hugely to the supply of important goods and services we depend upon, such as the provision of food, medicines and clean water. They also offer mechanisms and strategies to mitigate and solve a wide range of problems and crises facing humanity at all levels, including those encapsulated in the sustainable development goals (SDGs) formulated by the United Nations.

Tailored risk assessment and forecasting in intermittent claudication.

Background: Guidelines recommend cardiovascular risk reduction and supervised exercise therapy as the first line of treatment in intermittent claudication, but implementation challenges and poor patient compliance lead to significant variation in management and therefore outcomes. The development of a precise risk stratification tool is proposed through a machine-learning algorithm that aims to provide personalized outcome predictions for different management strategies.

Methods: Feature selection was performed using the least absolute shrinkage and selection operator method.

How and why in microbial ecology: An appeal for scientific aims, questions, hypotheses and theories.

This article precedes a series of articles on the important questions, hypotheses and theories in microbial ecology. It considers why, as scientists, we ask questions and propose hypotheses and what makes them important, good or significant. Emphasis is placed on 'scientific' questions, the need for scientific aims and on possible reasons for, and inadequacy of aim-less studies and question free studies.

Cystic fibrosis exacerbations treated with medical therapy with and without concurrent sinus surgery.

Objective: This analysis investigates any potential differences in pulmonary function test (PFT) outcomes among pediatric patients with cystic fibrosis (CF) receiving both medical management (MM) and functional endoscopic sinus surgery (FESS) versus MM alone for CF exacerbation.

Study Design: Prospective cohort.

Setting: Pediatric tertiary care facility.

A Continuously Benchmarked and Crowdsourced Challenge for Rapid Development and Evaluation of Models to Predict COVID-19 Diagnosis and Hospitalization.

Importance: Machine learning could be used to predict the likelihood of diagnosis and severity of illness. Lack of COVID-19 patient data has hindered the data science community in developing models to aid in the response to the pandemic.

Objectives: To describe the rapid development and evaluation of clinical algorithms to predict COVID-19 diagnosis and hospitalization using patient data by citizen scientists, provide an unbiased assessment of model performance, and benchmark model performance on subgroups.

Congenital cytomegalovirus (CMV) for the pediatric otolaryngologist.

Cytomegalovirus (CMV) is a double-stranded DNA virus and a member of the herpesvirus family. It is the most common congenital viral infection. For symptomatic infections, symptoms can vary widely but tends to have a predilection for the central nervous system and for the reticuloendothelial system.

Safety and nonclinical and clinical pharmacokinetics of PC945, a novel inhaled triazole antifungal agent.

PC945 is a novel antifungal triazole formulated for nebulized delivery to treat lung Aspergillus infections. Pharmacokinetic and safety profiles from nonclinical studies and clinical trials in healthy subjects, and subjects with mild asthma were characterized. Toxicokinetics were assessed following daily 2-hour inhalation for 14 days.

Cost comparison between surgical and conservative management for pediatric sinogenic subperiosteal abscesses.

Background: There remains variation in management of orbital complications of acute bacterial rhinosinusitis (ABRS); specifically, those subperiosteal abscesses that present without immediate surgical indication. Recent systematic reviews on management and proposed treatment algorithms are helpful but do not consider the financial implications for healthcare systems and patients.

Methods: A retrospective chart review of pediatric patients from a tertiary care children's hospital between 2002 and 2020 was performed, identifying patients via ICD coding corresponding to acute bacterial sinusitis and orbital involvement classified as Chandler 3 confirmed by contrasted computed tomography (CT).

Experimental testing of hypotheses for temperature- and pH-based niche specialization of ammonia oxidizing archaea and bacteria.

Investigation of niche specialization in microbial communities is important in assessing consequences of environmental change for ecosystem processes. Ammonia oxidizing bacteria (AOB) and archaea (AOA) present a convenient model for studying niche specialization. They coexist in most soils and effects of soil characteristics on their relative abundances have been studied extensively.

Piloting a model-to-data approach to enable predictive analytics in health care through patient mortality prediction.

Objective: The development of predictive models for clinical application requires the availability of electronic health record (EHR) data, which is complicated by patient privacy concerns. We showcase the "Model to Data" (MTD) approach as a new mechanism to make private clinical data available for the development of predictive models. Under this framework, we eliminate researchers' direct interaction with patient data by delivering containerized models to the EHR data.

Putting science back into microbial ecology: a question of approach.

Microbial ecology, the scientific study of interactions between natural microbial communities and their environments, has been facilitated by the application of molecular and 'omics'-based techniques that overcome some of the limitations of cultivation-based studies. This has increased emphasis on community ecology and 'microbiome' studies, but the majority address technical, rather than scientific challenges. Most are descriptive, do not address scientific aims or questions and are not designed to increase understanding or test hypotheses.