Pain refers to the subjective, unpleasant experience that is related to illness or injury. In contrast to pain, nociception refers to the physiological neural processing of noxious stimuli, such as intra-operative surgical stimuli. One novel device, the Analgesia Nociception Index (ANI), aims to objectively measure intra-operative nociception by analyzing the heart rate variability in patients undergoing surgery. Through this method of nociceptive monitoring, the ANI device aims to provide an objective, continuous evaluation of patient comfort levels and allow anesthesiologists to better manage surgical stress and patient analgesia, perhaps with even better efficacy than current practices used to assess nociception. Additionally, ANI may have clinical application in settings outside of the operating room, such as in the intensive care unit. In this narrative review, we compiled and summarized the findings of many studies that have investigated ANI's validity and applications in different clinical settings. Currently, the literature appears mostly supportive of ANI's ability to detect nociception in both surgical and non-surgical settings. However, the ability for ANI to provide clinical benefits, such as decreased intra-operative opioid use, post-operative opioid use, and post-operative pain compared to standard practices appear controversial. Because of the wide variety of methodology, clinical settings, patient populations, and limitations in these studies, more investigation of ANI is needed before any firm conclusions can be drawn on its clinical benefits.
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http://dx.doi.org/10.3389/fsurg.2023.1234246 | DOI Listing |
Sci China Life Sci
December 2024
State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
Salivary proteins serve multifaceted roles in maintaining oral health and hold significant potential for diagnosing and monitoring diseases due to the non-invasive nature of saliva sampling. However, the clinical utility of current saliva biomarker studies is limited by the lack of reference intervals (RIs) to correctly interpret the testing result. Here, we developed a rapid and robust saliva proteome profiling workflow, obtaining coverage of >1,200 proteins from a 50-µL unstimulated salivary flow with 30 min gradients.
View Article and Find Full Text PDFAppl Biochem Biotechnol
December 2024
Department of Biotechnology, Science Campus, Alagappa University, Karaikudi, India.
Early childhood caries (ECC), a severe form of dental caries, is exacerbated by the synergistic interaction between Streptococcus mutans and Candida albicans, leading to greater disease severity than their individual effects. This underscores the need for more targeted and potent therapeutic alternatives. Given the promising anti-infective properties of quaternary ammonium surfactants (QAS), this study explores the microbicidal properties of one such QAS, cetyltrimethylammonium chloride (CTAC), against both individual- and dual-species cultures of S.
View Article and Find Full Text PDFAdv Sci (Weinh)
December 2024
Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Digital PCR (dPCR) has transformed nucleic acid diagnostics by enabling the absolute quantification of rare mutations and target sequences. However, traditional dPCR detection methods, such as those involving flow cytometry and fluorescence imaging, may face challenges due to high costs, complexity, limited accuracy, and slow processing speeds. In this study, SAM-dPCR is introduced, a training-free open-source bioanalysis paradigm that offers swift and precise absolute quantification of biological samples.
View Article and Find Full Text PDFSkelet Muscle
December 2024
Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.
Background: INTER- and INTRAmuscular fat (IMF) is elevated in high metabolic states and can promote inflammation. While magnetic resonance imaging (MRI) excels in depicting IMF, the lack of reproducible tools prevents the ability to measure change and track intervention success.
Methods: We detail an open-source fully-automated iterative threshold-seeking algorithm (ITSA) for segmenting IMF from T1-weighted MRI of the calf and thigh within three cohorts (CaMos Hamilton (N = 54), AMBERS (N = 280), OAI (N = 105)) selecting adults 45-85 years of age.
BMC Med Educ
December 2024
Department of Community and Family Medicine, All India Institute of Medical Sciences, Patna, India.
Background: Despite the increasing integration of competency-based education in medicine, there remains a significant gap in effectively assessing educational outcomes, underscoring the urgent need for designed assessment blueprints that accurately reflect both curriculum content and competency standards in Community Medicine for undergraduate students. This study, conducted across the All-India Institute of Medical Sciences (AIIMS) network, develops a summative assessment blueprint aimed at standardizing evaluations in medical education across diverse geographic locations in India.
Methods: Twenty-five experts from 10 All India Institutes of Medical Science were invited via email and contributed for summative assessment for a theory paper.
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