Aims: This study aimed to determine the sensitivity and specificity of the National Institute of Neurological Disorders and Stroke (NINDS) and the Canadian Stroke Network (CSN) brief (5 min) screen composed of three items of the Montreal Cognitive Assessment (MoCA), in acute coronary syndrome (ACS) patients during hospital admission, relative to the full MoCA and potential alternative combinations of other items.
Methods And Results: Participants were consecutively recruited during ACS admission and administered the MoCA before discharge. The three NINDS-CSN screen items were extracted, collated and compared to the full MoCA. Receiver operator characteristic (ROC) curves were created to determine the sensitivity, specificity, and appropriate cut-off scores of the screens. The mean age of the sample (n = 81) was 63.49 [standard deviation (SD) 10.85] years and 49.4% screened positive for cognitive impairment. The NINDS-CSN mean score was 9.22 (SD 2.09 of the potential range 0-12). Area under the ROC (AUC) indicated high accuracy levels for screening for cognitive impairment (AUC = 0.89, P < 0.01, 95% confidence interval 0.82, 0.96) with none of the alternative combination screens performing better on both sensitivity and specificity. A cut-off score of ≤10 on the NINDS-CSN protocol provided 83% sensitivity and 80% specificity for classifying cognitive impairment.
Conclusion: The NINDS-CSN protocol presents an accurate, feasible screen for cognitive impairment in patients following ACS for use at the bedside and potentially also for telephone screens. Diagnostic accuracy should be confirmed using a neurocognitive battery.
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http://dx.doi.org/10.1093/eurjcn/zvac026 | DOI Listing |
Semin Arthritis Rheum
December 2024
Department of Rheumatology and Joint and Bone Research Unit. Fundación Jiménez Díaz University Hospital and Health Research Institute Fundación Jiménez Díaz (IIS-FJD, UAM), Autonomous University of Madrid, Madrid, Spain. Electronic address:
Purpose: The primary objective of this prospective, longitudinal, observational, single-centre study was to evaluate the association between ultrasound-assessed lesions of dactylitis and the diagnosis of psoriatic arthritis (PsA) in patients with psoriasis (PsO) and hand arthralgia.
Methods: We included adult patients diagnosed with PsO with hand arthralgia, with or without other musculoskeletal complaints. They were clinically assessed at baseline, 6 and 12 months by a rheumatologist blinded to the ultrasound findings.
J Med Imaging Radiat Oncol
December 2024
Department of Radiology, Grampians Health, Ballarat Central, Victoria, Australia.
Background: CT-guided percutaneous transthoracic needle biopsy is the primary method for diagnosing lung lesions. Widely accepted validated risk prediction models are yet to be developed. A recently published study conducted at Grampians Health Services (GHS) developed two risk prediction models for predicting pneumothorax and intercostal catheter (ICC) insertion.
View Article and Find Full Text PDFPLoS One
December 2024
Faculty of Medicine, Department of Medical Biochemistry and Molecular Biology, Fayoum University, Fayoum, Egypt.
Background: The SARS-CoV-2 virus's frequent mutations have made disease control with vaccines and antiviral drugs difficult; as a result, there is a need for more effective coronavirus drugs. Therefore, detecting the expression of various diagnostic biomarkers, including ncRNA in SARS-CoV2, implies new therapeutic strategies for the disease.
Aim: Our study aimed to measure NEAT-1, miR-374b-5p, and IL6 in the serum of COVID-19 patients, demonstrating the correlation between target genes to explore the possible relationship between them.
PLoS One
December 2024
Chair of Biomedical Physics, Department of Physics & School of Natural Sciences, Technical University of Munich, Garching bei München, Germany.
Background: Dark-field radiography has been proven to be a promising tool for the assessment of various lung diseases.
Purpose: To evaluate the potential of dose reduction in dark-field chest radiography for the detection of the Coronavirus SARS-CoV-2 (COVID-19) pneumonia.
Materials And Methods: Patients aged at least 18 years with a medically indicated chest computed tomography scan (CT scan) were screened for participation in a prospective study between October 2018 and December 2020.
Background: Dyspnoea is one of the emergency department's (ED) most common and deadly chief complaints, but frequently misdiagnosed and mistreated. We aimed to design a diagnostic decision support which classifies dyspnoeic ED visits into acute heart failure (AHF), exacerbation of chronic obstructive pulmonary disease (eCOPD), pneumonia and "other diagnoses" by using deep learning and complete, unselected data from an entire regional health care system.
Methods: In this cross-sectional study, we included all dyspnoeic ED visits of patients ≥ 18 years of age at the two EDs in the region of Halland, Sweden, 07/01/2017-12/31/2019.
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