This study aimed to evaluate dexmedetomidine as an alternative to xylazine in pigs. We compared TKD (0.05 mL/kg) to TKX (0.05 mL/kg) in 20 male pigs undergoing unilateral cryptorchid castration (short-term, 45-min) or bilateral cryptorchid castration (long-term, 90-min). We hypothesized that TKD would be comparable to TKX for both short-term and long-term anesthesia. Monitored parameters were classified into duration and physiological categories, including induction and recovery times, reflexes, heart rate (HR), respiratory rate (RR), arterial blood pressure, oxygen saturation (%SpO2), end-tidal carbon dioxide (ETCO2), and body temperature (TEMP). Isoflurane levels were also recorded, if used. Results showed no significant differences in duration parameters between TKD and TKX for either short-term or long-term anesthesia (induction: 1 min; recovery: 18-35 min). Physiological parameters were mostly similar between groups, although TKD caused slightly higher blood pressure during short-term anesthesia. Isoflurane levels (0.1-0.6%) were comparable between groups. Overall, the results suggest that TKD provides anesthesia comparable to TKX in pigs undergoing unilateral or bilateral cryptorchid surgery requiring short-term and long-term anesthesia.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11475336 | PMC |
http://dx.doi.org/10.3390/ani14192881 | DOI Listing |
Dis Colon Rectum
January 2025
Department of Colon and Rectal Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Background: Minimally invasive surgery is associated with improved short-term outcomes and similar long-term oncologic outcomes for colorectal cancer patients compared with open surgery. Although the robotic approach has ergonomic and technical benefits, how it has impacted utilization of traditional laparoscopic surgery and minimally invasive surgery overall is unclear.
Objective: Describe trends in open, robotic, and laparoscopic approaches for colorectal cancer resections and examine factors associated with minimally invasive surgery.
Stroke
January 2025
Center for Brain Recovery, Boston University, MA (M.J.M., E.C., M.S., M.R.-M., S.K.).
Background: Predicting treated language improvement (TLI) and transfer to the untreated language (cross-language generalization, CLG) after speech-language therapy in bilingual individuals with poststroke aphasia is crucial for personalized treatment planning. This study evaluated machine learning models to predict TLI and CLG and identified the key predictive features (eg, patient severity, demographics, and treatment variables) aligning with clinical evidence.
Methods: Forty-eight Spanish-English bilingual individuals with poststroke aphasia received 20 sessions of semantic feature-based naming treatment in either their first or second language.
Intimate partner violence (IPV) persists as a cause of short-term, long-term, and chronic health consequences. The elevated risk of IPV during pregnancy and the postpartum period (P-IPV) is commonly attributed to increased demands for child bearers and intimate partners. P-IPV may impact the health of the child bearer, developing fetus, and post-birth child.
View Article and Find Full Text PDFFront Behav Neurosci
December 2024
Basque Center on Cognition, Brain and Language (BCBL), Donostia-San Sebastián, Spain.
Extensive behavioral research on adults has shown that retrieval practice is highly beneficial for long-term memory retention. However, limited evidence exists on the developmental course of this benefit. Here, we present data from a behavioral study involving 7-14-year-old children who had to encode a total of 60 weakly semantically related cue-target word pairs using either repeated retrieval or repeated study encoding strategies.
View Article and Find Full Text PDFAct Adapt Aging
November 2023
Department of Human Development and Family Studies, Pennsylvania State University, 119 Health and Human Development Building, University Park, PA 16802.
Few studies have examined older, elite users of digital technology use. To address this gap, we examined predictors of novel technology use among this group. As hypothesized, several markers of successful aging predicted greater technology use in older elite users, including higher levels of cognition, socioeconomics, and self-efficacy.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!