Importance Certain individuals, when infected by SARS-CoV-2, tend to develop the more severe forms of Covid-19 illness for reasons that remain unclear. Objective To determine the demographic and clinical characteristics associated with increased severity of Covid-19 infection. Design Retrospective observational study. We curated data from the electronic health record, and used multivariable logistic regression to examine the association of pre-existing traits with a Covid-19 illness severity defined by level of required care: need for hospital admission, need for intensive care, and need for intubation. Setting A large, multihospital healthcare system in Southern California.
Reactive hyperemia is a well-established technique for noninvasive assessment of peripheral microvascular function and a predictor of all-cause and cardiovascular morbidity and mortality. In its simplest form, reactive hyperemia represents the magnitude of limb reperfusion following a brief period of ischemia induced by arterial occlusion. Over the past two decades, investigators have employed a variety of methods, including brachial artery velocity by Doppler ultrasound, tissue reperfusion by near-infrared spectroscopy, limb distension by venous occlusion plethysmography, and peripheral artery tonometry, to measure reactive hyperemia. Regardless of the technique used to measure reactive hyperemia, blunted reactive hyperemia is believed to reflect impaired microvascular function. With the advent of several technological advancements, together with an increased interest in the microcirculation, reactive hyperemia is becoming more common as a research tool and is widely used across multiple disciplines. With this in mind, we sought to review the various methodologies commonly used to assess reactive hyperemia and current mechanistic pathways believed to contribute to reactive hyperemia and reflect on several methodological considerations.
Introduction Despite advances in imaging retinal amyloidosis, a quantitative and topographical investigation of retinal amyloid beta burden in patients with cognitive decline has never been reported. Methods We used the specific amyloid‐binding fluorophore curcumin and laser ophthalmoscopy to assess retinal amyloid imaging (RAI) in 34 patients with cognitive decline. We automatically quantified retinal amyloid count (RAC) and area in the superotemporal retinal sub‐regions and performed correlation analyses with cognitive and brain volumetric parameters. Results RAC significantly and inversely correlated with hippocampal volume (HV; r = ‐0.39, P = .04). The proximal mid‐periphery (PMP) RAC and RA areas were significantly greater in patients with Montreal Cognitive Assessment (MOCA) score < 26 ( P = .01; Cohen d = 0.83 and 0.81, respectively). PMP showed significantly more RAC and area in subjects with amnestic mild cognitive impairment (MCI) and Alzheimer's disease (AD) compared to cognitively normal ( P = .04; Cohen d = 0.83). Conclusion Quantitative RAI is a feasible technique and PMP RAC may predict HV. Future larger studies should determine RAI's potential as a biomarker of early AD.
What is the central question of this study? Can near-infrared spectroscopy (NIRS)-derived post-occlusion tissue oxygen saturation recovery kinetics be used to study age-related impairments in microvascular function? What is the main finding and its importance? Using a previously established 5 min cuff occlusion protocol, we found that NIRS-derived indices of microvascular function were markedly reduced in elderly compared with young participants. However, when we controlled for the absolute level of vasodilatory stimulus and matched the tissue desaturation level between groups, we found similar responses in young and elderly participants. Overall, these data highlight the important role NIRS can serve in clinical vascular biology, but also establish the need for assessing tissue ischaemia during cuff occlusion protocols. Near-infrared spectroscopy (NIRS) has emerged as a promising tool to evaluate vascular reactivity in vivo. Whether this approach can be used to assess age-related impairments in microvascular function has not been tested. Tissue oxygen saturation (StO2) post-occlusion recovery kinetics were measured in two distinct age groups (<35 and >65 years of age) using NIRS placed over the flexor digitorum profundus. Key end-points included the following: (i) the desaturation rate during cuff occlusion; (ii) the lowest StO2 value obtained during ischaemia (StO2min); (iii) StO2 reperfusion rate; (iv) the highest StO2 value reached after cuff release (StO2max); and (v) the reactive hyperaemia area under the curve (AUC). At first, using a conventional 5 min cuff occlusion protocol, the elderly participants achieved a much slower rate of oxygen recovery (1.5 ± 0.2 versus 2.5 ± 0.2% s ), lower StO2max (85.2 ± 2.9 versus 92.3 ± 1.5%) and lower reactive hyperaemia AUC (2651.8 ± 307.0 versus 4940.0 ± 375.8% s ). However, owing to a lower skeletal muscle resting metabolic rate, StO2min was also significantly attenuated in the elderly participants compared with the young control subjects (55.7 ± 3.5 versus 41.0 ± 3.4%), resulting in a much lower ischaemic stimulus. To account for this important difference between groups, we then matched the level of tissue ischaemia in a subset of young healthy participants by reducing the cuff occlusion protocol to 3 min. Remarkably, when we controlled for tissue ischaemia, we observed no differences in any of the hyperaemic end-points between the young and elderly participants. These data highlight the important role NIRS can serve in vascular biology, but also establish the need for assessing tissue ischaemia during cuff occlusion protocols.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.