Background: Postoperative analgesia (POA) is an important determinant of successful treatment. Dexmedetomidine (DEX) has recently gained attention as a promising adjuvant to local anesthetics (LA). The present study aimed to evaluate the efficacy and safety of levobupivacaine (LB) as an adjuvant during inferior alveolar nerve block (IANB) in the extraction of lower impacted third molars (LITM).
Methods: A prospective, randomized, placebo-controlled, triple-blind, parallel-arm, and clinical study was performed on 50 systemically healthy participants who required removal of an asymptomatic LITM. Using a 1:1 distribution, the participants were randomized into two groups (n = 25). Group L (control group) received 1.8 mL of 0.5% LB and 0.2 mL normal saline (placebo) and Group D (study group) received a blend of 1.8 mL of 0.5% LB and 0.2 mL (20 µg) DEX. The primary outcome variable was the duration of POA and hemodynamic stability, and the secondary variable was the total number of analgesics required postoperatively for up to 72 h. The participants were requested to record the time of rescue analgesic use and the total number of rescue analgesics taken. The area under the curve was plotted for the total number of analgesics administered. The pain was evaluated using the visual analog scale. Data analysis was performed using paired students and unpaired t-test, Mann-Whitney U test, Chi-square test, and receiver operating characteristic analysis. Statistical significance was set at P < 0.05.
Results: The latency, profoundness of anesthesia, and duration of POA were statistically significant (P < 0.05). The differences between mean pain scores at 6, 12, 24, 48, and 72 h were found to be significant (each P = 0.0001). Fewer analgesics were required by participants in group D (2.12 ± 0.33) than in L (4.04 ± 0.67), with a significant difference (P = 0.0001).
Conclusion: Perineurally administered LA with DEX is a safe, effective, and therapeutic approach for improving latency, providing profound POA, and reducing the need for postoperative analgesia.
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http://dx.doi.org/10.17245/jdapm.2022.22.2.145 | DOI Listing |
J Neurosurg
January 2025
4Department of Neurosurgery, University of Tennessee Health Science Center, Memphis, Tennessee; and.
Objective: This study aimed to investigate the extent of gender disparities in financial interactions between neurosurgeons and the medical device industry, examining the differences in the number, amount, and types of payments made to male and female neurosurgeons.
Methods: Utilizing data from the Centers for Medicare & Medicaid Services Open Payments database covering 2016-2022, the authors conducted a comprehensive analysis of industry payments to neurosurgeons. This methodology included univariate and multivariate analyses to examine the disparities in payments, with a focus on identifying significant differences in compensation across genders.
PLoS One
January 2025
Department of Population and Family Health, Institute of Health, Jimma University, Jimma, Ethiopia.
Background: Pregnancy is often seen as a joyful and fulfilling time for many women. However, a significant number of women in Ethiopia experience intimate partner violence (IPV) during this period. Despite this, there is limited evidence on interventions aimed at preventing violence during pregnancy.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Emergency Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
We aimed to determine whether emergency department (ED) overcrowding affects the occurrence of in-hospital cardiac arrest (IHCA) requiring resuscitation in the ED. This retrospective study was conducted in the ED of a single hospital. We applied the propensity score-matching method to adjust for differences in clinical characteristics in patients who visited the ED during overcrowded conditions.
View Article and Find Full Text PDFEvol Comput
January 2025
Chair of Algorithms for Intelligent Systems, University of Passau, Passau, Germany
Evolutionary algorithms make countless random decisions during selection, mutation and crossover operations. These random decisions require a steady stream of random numbers. We analyze the expected number of random bits used throughout a run of an evolutionary algorithm and refer to this as the cost of randomness.
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