Background: This study aimed to investigate the effects of perioperative dexmedetomidine (DEX) infusion rates on the postoperative short-term cognitive function.
Methods: A total of 88 patients aged ≥ 60 years who underwent cardiac surgery from January 2022 to November 2022 at the First Affiliated Hospital of The University of Science and Technology of China (USTC) were included. Based on a single-center pilot analysis, patients were divided into two groups according to the rate of intraoperative DEX infusion, which started after tracheal intubation and continued until 1 h before extubation in the cardiac surgery intensive care unit. In Group L (n = 44), the infusion rate was 0.1-0.5 µg/kg/h (low-dose group), whereas in Group H (n = 44), the infusion rate was 0.5-0.9 µg/kg/h (high-dose group). Clinical outcomes were then compared between the groups. The Mini-Mental State Evaluation (abbreviated as MMSE, MMSE, MMSE, and MMSE) scale was used for the assessment of cognitive function, which was conducted on postoperative Days 2 (T), 7 (T), 14 (T), and 28 (T), with the score from postoperative Day 2 (MMSE) considered as the primary observation.
Results: Patients in Group L had higher MMSE scores compared to those in Group H (26.0 [24.0, 27.0] vs. 24.5 [22.0, 26.0], p = 0.046), and there was no significant difference in the scores between the groups at all subsequent time points. Group H exhibited a higher incidence of hypotension and bradycardia compared to Group L (p = 0.044 and p = 0.047, respectively).
Conclusions: Compared to a high dose (0.5-0.9 µg/kg/h) of DEX infusion, a low-dose (0.1-0.5 µg/kg/h) infusion started after induction of anesthesia and continued until 1 h before extubation improved postoperative cognitive function scores on postoperative Day 2 in patients aged 60 years and older.
Trial Registration: URL: www.chictr.org.cn with registration number ChiCTR2100055093, registered on 31/12/2021.
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http://dx.doi.org/10.1186/s12871-023-02315-6 | DOI Listing |
Cogn Sci
January 2025
Department of Psychology, Binghamton University.
It has become widely accepted that standard connectionist models are unable to show identity-based relational reasoning that requires universal generalization. The purpose of this brief report is to show how one of the simplest forms of such models, feed-forward auto-associative networks, satisfies two of the most well-known challenges: universal generalization of the identity function and the reduplication rule. Given the simplicity of the modeling account provided, along with the clarity of the evidence, these demonstrations invite a shift in this high-profile debate over the nature of cognitive architecture and point to a way to bridge some of the presumed gulf between characteristically symbolic forms of reasoning and connectionist mechanisms.
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Graduate Program in Human Movement Sciences, Institute of Health Sciences, Federal University of Pará, Belem, Brazil.
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Department of Neurosurgery, Center of Pituitary Tumor, Ruijin Hospital Shanghai Jiao Tong University School of Medicine Shanghai China.
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J Am Heart Assoc
January 2025
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Brain
January 2025
Comprehensive Epilepsy Program, Department of Neurology, University of Virginia, Charlottesville, Virginia 22908, USA.
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