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Background: The majority of people infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) only show mild respiratory symptoms. However, some patients with SARS-CoV-2 display neurological symptoms. Data on the exact prevalence and course of cognitive symptoms are often limited to patient reported outcomes or studies recruited at specialized centers.
Methods: For this prospective, non-interventional population based POPCOV2 study, 156 subjects who performed SARS-CoV-2 testing in the Düsseldorf metropolitan area at public test centers between December 2020 and February 2022 were recruited by handouts. SARS-CoV-2-positive and negatively tested subjects were included within the first seven days after the PCR test results. Cognitive testing was performed at baseline during home quarantine and after 4-6 as well as 12-14 weeks of follow-up. Individuals were examined remotely by videocalls using the Symbol Digit Modalities Test (SDMT) and the Montreal Cognitive Assessment (MoCA) in addition to the Brief Fatigue Inventory (BFI) and the Beck Depression Inventory-Fast Screen (BDI-FS).
Results: At baseline, the SARS-CoV-2-positive group presented with higher levels of fatigue in the BFI. In both the SARS-CoV-2-positive and SARS-CoV-2-negative groups, some subjects presented attention and memory deficits, defined as a z-score < -1,65 on the SDMT or < 26 points on the MoCA (SDMT: 22.9% in the positive and 8.8% in the negative group, = 0.024; MoCA: 35.6% in the positive and 27.3% in the negative group, = 0.313). MoCA and SDMT improved over time in both groups. For MoCA scores, a significant difference between the two groups was only seen at the first follow-up. SDMT z-scores did not differ at any time between the groups.
Conclusion: These results support previous evidence that mild SARS-CoV-2 infections are associated with increased fatigue. However, we found relevant rates of cognitive impairment not only in the infected but also in the control group. This underlines the importance of including a control group in such investigations.
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http://dx.doi.org/10.3389/fnhum.2024.1468204 | DOI Listing |
Plant Genome
September 2025
Department of Agronomy, Iowa State University, Ames, Iowa, USA.
Crop growth rate is a critical physiological trait for forage and bioenergy crops like sorghum [Sorghum bicolor (L.) Moench], influencing overall crop productivity, particularly in photoperiod-sensitive (PS) types. Crop growth rate studies focus on either a physiological approach utilizing a few genotypes to analyze biomass accumulation or a genetic approach characterizing easily scorable proxy traits in larger populations.
View Article and Find Full Text PDFClin Pediatr (Phila)
September 2025
Department of Medicine (Infectious Disease), University of Connecticut Health Center, Boston University Medical Center, Falmouth Hospital, Falmouth, MA, USA.
A total of 101 patients with a clinical picture of persisting Lyme disease seen at the University of Connecticut Health Center and Boston Medical Center were recruited for the study to determine whether persistent infection is the likely cause. Brain SPECT imaging and responses to antibiotic treatments were recorded. Patients had more than 5 symptoms lasting more than 6 months.
View Article and Find Full Text PDFHypertension
September 2025
Department of Hypertension, Center for Epidemiological Studies and Clinical Trials, the Shanghai Institute of Hypertension, Shanghai Key Laboratory of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (J.W.).
Background: The association between season of screening blood pressure (BP) measurement and adverse outcomes has not been examined among populations without prior physician-diagnosed hypertension. We aimed to investigate the association between the season of screening clinic BP measurement and the risk of all-cause mortality.
Methods: This was a prospective cohort study, and data were analyzed from an ongoing community hypertension screening program in Shanghai between 2018 and 2024.
Circ Genom Precis Med
September 2025
Division of Cardiology, Emory University School of Medicine, Atlanta, GA. (A.K.Y., A.C.R., L.S.S., A.A.Q., Y.V.S.).
Background: Cardio-kidney-metabolic (CKM) disease represents a significant public health challenge. While proteomics-based risk scores (ProtRS) enhance cardiovascular risk prediction, their utility in improving risk prediction for a composite CKM outcome beyond traditional risk factors remains unknown.
Methods: We analyzed 23 815 UK Biobank participants without baseline CKM disease, defined by -Tenth Revision codes as cardiovascular disease (coronary artery disease, heart failure, stroke, peripheral arterial disease, atrial fibrillation/flutter), kidney disease (chronic kidney disease or end-stage renal disease), or metabolic disease (type 2 diabetes or obesity).