34 research outputs found

    Table1_Utility of sample entropy from intraoperative cerebral NIRS oximetry data in the diagnosis of postoperative cognitive improvement.DOCX

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    Background: Appropriate monitoring and early recognition of postoperative cognitive improvement (POCI) are essential. Near-infrared spectroscopy (NIRS) showed the predictive potential of POCI. Non-linear dynamical analysis is a powerful approach for understanding intraoperative regional cerebral oxygen saturation (rSO2).Objective: We hypothesized that the sample entropy (SampEn) value of intraoperative rSO2 has the potential to predict POCI.Methods: This retrospective cohort study was conducted from June 2019 and December 2020 in a tertiary hospital in Beijing, China. A total of 126 consecutive patients who underwent carotid endarterectomy (CEA) were screened. 57 patients were included in this analysis. The primary outcome was the diagnostic accuracy of rSO2 for the prediction of POCI.Results: 33 patients (57.9%) developed POCI on postoperative day. The SampEn values of rSO2 were significantly higher in the POCI group (p 2 for POCI were 0.706 (95% CI, 0.569–0.843; p = 0.008). Addition of preoperative MoCA assessment and blood pressure-lowering treatment increased the AUC to 0.808 (95% CI, 0.697–0.919; p Conclusions: The SampEn value of rSO2 showed promise as a predictor of POCI. Non-linear analysis could be used as a supplementary method for intraoperative physiological signals.</p

    NHC Tetranuclear Silver(I) Complexes and Intramolecular Extended π–π Interactions

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    A series of new acyclic tetrazolium salts featuring a central anthracence building block which were 9,10-substituted with (N-R-azoliumCH<sub>2</sub>CH<sub>2</sub>)<sub>2</sub>NCH<sub>2</sub>– groups were prepared (azolium = benzimidazolium or imidazolium, R = picolyl, ethyl, <sup><i>n</i></sup>butyl, or benzyl). These tetrazolium salts were metalated with silver­(I) leading to four novel NHC tetranuclear complexes <b>1</b>–<b>4</b>. Molecular structures of <b>1</b>–<b>4</b> and one tetraimidazolium salt <b>L</b><sup><b>1</b></sup><b>H</b><sub><b>4</b></sub><b>·(HgI</b><sub><b>4</b></sub><b>)</b><sub><b>2</b></sub> were established by <sup>1</sup>H NMR, <sup>13</sup>C NMR spectroscopy and X-ray crystallography. Silver­(I) η<sup>3</sup>-arene interactions exist in complex <b>1</b>. Each molecule of complexes <b>2</b>–<b>4</b> contains one 42-membered and two 21-membered macrometallocycles. It was interesting to observe intramolecular extended π–π interactions originated from imidazole–anthracene–anthracene–imidazole in complexes <b>3</b> and <b>4</b>. In addition, the fluorescence emission spectra of the complexes and the tetrazolium salts were studied

    Circular RNA profile of infantile hemangioma by microarray analysis

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    <div><p>Background</p><p>Circular RNAs (circRNAs) are a recently identified class of noncoding RNAs that participate in several physiological processes. However, the expression of circRNAs in infantile hemangioma (IH) remains unknown.</p><p>Methods</p><p>The profile of circRNAs was assessed by microarray in four pairs of IH and adjacent skin tissues. The expression of circRNAs was validated by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Furthermore, circRNA-microRNAs (miRNA)-mRNA networks were constructed using bioinformatics tools.</p><p>Results</p><p>234 up- and 374 down- regulated circRNAs were identified in IH by microarray. Among them, the expression of two up-regulated circRNAs (hsa_circRNA_100933 and hsa_circRNA_100709) and one down-regulated circRNA (hsa_circRNA_104310) was confirmed by qRT-PCR. In addition, 3,019 miRNA response elements (MREs) of circRNAs were predicted, and two circRNA-miRNA-mRNA networks were constructed, including 100 and 94 target genes of hsa_circRNA_100933 and hsa_circRNA_104310, respectively. GO and pathway analysis showed that both networks participated in angiogenesis and vascular development-related biological processes.</p><p>Conclusions</p><p>This is the first study to reveal the profiling of circRNAs in IH and pave the way for further characterization of the role of circRNAs in the pathogenesis of IH.</p></div

    Quantitative real-time PCR validation of selected circRNAs.

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    <p>The relative expression of selected circRNAs (circRNA_100709, circRNA_100933, circRNA_104310, circRNA_102116, circRNA_051239 and circRNA_102039) in IH as compared to paired skin samples.</p
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