Introduction: The relationship between which lung lobe is affected on the chest X-ray (CXR) performed at the Emergency Department (ED) and mortality from COVID-19 has not been studied. With this in mind, the present study aimed to discern which lung lobe was the one with the highest associated mortality rate in the elderly population.
Methods: Information was collected from the 2020 hospital admissions records of our hospital. Our cohort consists of 300 admissions.
Results: The presence of the left lower lobe (RR = 1.6; 95% CI: 1.1-2.4) and right middle lobe involvement (RR = 1.8; 95% CI: 1.2-2.7) on CXR at the ED were both predictive factors of in-hospital mortality. Right middle lobe involvement on CXR at the ED was the risk factor with the highest relative risk value (RR = 1.8). Furthermore, right middle lobe involvement on CXR at ED was a predictor for persistent organ failure (RR = 1.7; 95% CI: 1.2-2.3), respiratory failure (RR = 1.7; 95% CI: 1.2-2.4) and acute kidney injury (RR = 1.5; 95% CI: 1.2-2). The isolated right middle lobe involvement on CXR at ED was a risk factor for in-hospital mortality (RR = 2.6; 95% CI = 1.8-3.7). However, the affected right middle lobe along with another/other lobe/s was a null factor.
Conclusion: Right middle lobe involvement was an independent predictor of in-hospital mortality.
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http://dx.doi.org/10.1080/00325481.2022.2069356 | DOI Listing |
Dev Cogn Neurosci
December 2024
Division of Psychology and Language Sciences, UCL, London WC1H 0AP, UK. Electronic address:
Executive functions can be classified into processes of inhibition, working memory and shifting, which together support flexible and goal-directed behaviour and are crucial for both current and later-life outcomes. A large body of literature has identified distinct brain regions critical to performing each of these functions. These findings are however predicated on a piecemeal and single-task approach.
View Article and Find Full Text PDFNeurology
January 2025
Leonard Davis School of Gerontology, University of Southern California, Los Angeles.
Background And Objectives: Cerebrovascular reactivity (CVR) represents the ability of cerebral blood vessels to regulate blood flow in response to vasoactive stimuli and is related to cognition in cerebrovascular and neurodegenerative conditions. However, few studies have examined CVR in the medial temporal lobe, known to be affected early in Alzheimer disease and to influence memory function. We aimed to examine whether medial temporal CVR is associated with memory function in older adults with and without mild cognitive impairment (MCI).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Republic of (South).
Background: Normative percentile (NP) quantifies brain atrophy by comparing regional brain volumes of a subject against age and sex-matched cognitively normal populations. Accurate intracranial volume (ICV) adjustment is vital in NP quantification to minimize the effect of an individual's head size. However, which intracranial volume adjustment method yields reliable normative percentiles remains unclear.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Seoul National University Bundang Hospital, Seongnam, Korea, Republic of (South).
Background: To investigate the neuroanatomical characteristics at the whole-brain level associated with progression from amyloid-positive preclinical to prodromal Alzheimer's disease (AD) in relation to amyloid deposition and regional atrophy.
Method: We included 45 participants with amyloid-positive preclinical AD and 135 participants with prodromal AD matched 1:3 by age, sex, and education, from participants in the Korean Longitudinal Study on Cognitive Aging and Dementia and visitors to the dementia clinic of Seoul National University Bundang Hospital. All participants underwent F-florbetaben positron emission tomography and 3D structural T1-weighted magnetic resonance imaging.
Background: Clinical diagnosis of frontotemporal dementia (FTD) can be challenging, requiring an accurate tool dedicated to this diagnostic hurdle. Since FTD exhibits distinct regional atrophy patterns on magnetic resonance imaging (MRI), AI-aided automated brain volume analysis could enhance the clinical diagnostic assessment of FTD, including the detection of the disease and the classification of subtypes, which encompass behavioral variant (BV), semantic variant (SV), and progressive non-fluent aphasia (PNFA). In this study, we leverage automated brain volumetry software to approach both FTD detection and the differential diagnosis among its subtypes.
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