Publications by authors named "K A May"

Purpose: The purpose of this work was to determine the comfort performance of a toric, monthly, silicon hydrogel CL (lehfilcon A; TOTAL30 for Astigmatism) over a long day of wear.

Methods: This was a 1-month, 3-visit, prospective, single-arm study. Adult, 18- to 45-year-old CL wearers with good vision who were minimally symptomatic (CLDEQ-8 scores ≤12) were enrolled.

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Objective: Over the past decade, the role of nurse practitioners (NPs) in long-term care home (LTCH) settings has significantly expanded. Despite this trend, gaps have been identified in the description of collaborative practices between NPs and physicians in the LTCH sector. This study aimed to characterize the elements of collaboration between NPs and physicians in LTCH settings by applying the "Structured Collaborative Practice Core Model.

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An outer membrane (OM) is the hallmark feature that is often used to distinguish "Gram-negative" bacteria. Our understanding of how the OM is built rests largely on studies of . In that organism-and seemingly in all species of the Proteobacterial phyla-the essential pathways that assemble the OM each rely on one or more lipoproteins that have been trafficked to the OM.

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Background: Airway tissue eosinophilia can be an observed feature of obesity-associated type 2 (T2) asthma, but the processes mediating this inflammation are unknown.

Objective: To investigate a process whereby leptin, an adipokine elevated in obesity, potentiates pulmonary eosinophilia and eotaxin production by airway fibroblasts in T2 asthma.

Methods: We assessed associations between body mass index and airway eosinophilia as well as leptin and eotaxin production in 78 participants with asthma, 36 of whom exhibited obesity.

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Participant management in a lung cancer screening (LCS) depends on the assigned Lung Imaging Reporting and Data System (Lung-RADS) category, which is based on reliable detection and measurement of pulmonary nodules. The aim of this study was to compare the agreement of two AI-based software tools for detection, quantification and categorization of pulmonary nodules in an LCS program in Northern Germany (HANSE-trial). 946 low-dose baseline CT-examinations were analyzed by two AI software tools regarding lung nodule detection, quantification and categorization and compared to the final radiologist read.

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