We report the frequency and associated factors of tuberculosis (TB) and parasite coinfection from newly diagnosed pulmonary TB patients (TB+) and non-TB participants (TB-) from the Regional Tuberculosis Control Center, households, and health facilities in Bobo-Dioulasso from 2019 to 2021. Biological samples were examined for parasite infection using direct microscopy, concentration techniques, and the immunochromatographic rapid test. Data were analyzed using STATA 14. Of a total of 192 participants involved, 95 were TB+ and 97 were non-TB. There was no statistically significant difference in parasitic infections between the two groups, although it was higher in TB+ than TB- (69.5% [66/95] versus 55.7% [54/97]; P = 0.07). Protozoal infection prevalence was significantly higher in patients with TB+ than in those TB- (61.1% versus 37.1%; P = 0.001). Specifically, Entamoeba spp. and Cryptosporidium spp. followed this pattern with 35.8% versus 19.6% (P = 0.01) and 22.1% versus 8.3% (P = 0.007), respectively. Although higher in TB+ patients, helminthiasis frequency was not significantly different between the two groups (23.2% versus 15.5%; P = 0.2). Helminth species were Schistosomia mansoni (17.9% versus 12.4%), Dicrocoelium dendriticum (3.2% versus 1.0%), Enterobius vermicularis (2.1% versus 2.1%), Wuchereria bancrofti (1.1% versus 0.0%), and Hymenolepis nana (1.1% versus 0.0%). Illiteracy (adjusted odds ratio [aOR]: 2.5; 95% CI: 1.0-6.1), smoking (aOR: 2.4; 95% CI: 1.1-5.3), and handwashing after defecation (aOR: 2.4; 95% CI: 1.2-4.7) were associated with parasites. This study reported a high frequency of parasite coinfection in TB patients. These findings suggest the need for adequate health education for behavioral change and systematic diagnosing of parasites in TB patients for better coinfection management.
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http://dx.doi.org/10.4269/ajtmh.23-0346 | DOI Listing |
Sci Rep
December 2024
Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1205, Bangladesh.
Prediction and discovery of new materials with desired properties are at the forefront of quantum science and technology research. A major bottleneck in this field is the computational resources and time complexity related to finding new materials from ab initio calculations. In this work, an effective and robust deep learning-based model is proposed by incorporating persistent homology with graph neural network which offers an accuracy of and an F1 score of in classifying topological versus non-topological materials, outperforming the other state-of-the-art classifier models.
View Article and Find Full Text PDFNPJ Parkinsons Dis
December 2024
Univ. Bordeaux, CNRS, Institut des Maladies Neurodégénératives, UMR 5293, F-33000, Bordeaux, France.
α-synucleinopathies progression involves the spread of α-synuclein aggregates through the extracellular space (ECS). Single-particle tracking studies showed that α-synuclein-induced neurodegeneration increases ECS molecular diffusivity. To disentangle the consequences of neuronal loss versus α-synuclein-positive intracellular assemblies formation, we performed near-infrared single-particle tracking to characterise ECS rheology in the striatum of mouse models of α-synucleinopathies.
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December 2024
Harman International, HarmanX Neurosense, 30001 Cabot Dr, Novi, MI, 48377, USA.
Cognitive load (CL) is one of the leading factors moderating states and performance among drivers. Heavily increased CL may contribute to the development of mental stress. Averaged heart rate (HR) and heart rate variability (HRV) indices are shown to reflect CL levels in different tasks.
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December 2024
Creative Robotics Lab, UNSW, Sydney, 2021, Australia.
Unlike the conventional, embodied, and embrained whole-body movements in the sagittal forward and vertical axes, movements in the lateral/transversal axis cannot be unequivocally grounded, embodied, or embrained. When considering motor imagery for left and right directions, it is assumed that participants have underdeveloped representations due to a lack of familiarity with moving along the lateral axis. In the current study, a 32 electroencephalography (EEG) system was used to identify the oscillatory neural signature linked with lateral axis motor imagery.
View Article and Find Full Text PDFNat Commun
December 2024
Department of Psychology, Cornell University, Ithaca, NY, USA.
Subjective feelings are thought to arise from conceptual and bodily states. We examine whether the valence of feelings may also be decoded directly from objective ecological statistics of the visual environment. We train a visual valence (VV) machine learning model of low-level image statistics on nearly 8000 emotionally charged photographs.
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