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Remimazolam-flumazenil provides fast recovery from general anesthesia compared to propofol during radiofrequency catheter ablation of atrial fibrillation
The optimal anesthetic agent for radiofrequency catheter ablation (RFCA) of atrial fibrillation (AF) and its impact on the recovery profiles remain uncertain. We compared the recovery and hemodynamic parameters between the remimazolam-flumazenil and propofol groups during RFCA. Patients were randomized into the remimazolam-flumazenil and propofol groups. The primary outcome measure was the time to eye opening following the discontinuation of anesthetic agents. Secondary outcomes included time to extubation, time to discharge from the operating room, intraprocedural hemodynamic variables and postoperative quality outcomes. Fifty-three patients were included in the final analysis (n = 26 in the remimazolam-flumazenil and n = 27 in the propofol group). The time to eye opening was significantly shorter in the remimazolam-flumazenil group compared to the propofol group (median [interquartile range]: 174 [157–216] vs. 353 [230–483] s, P < 0.001). The mean blood pressure and bispectral index were significantly higher in the remimazolam-flumazenil group compared to the propofol group (mean difference [95% CI], 7.2 [1.7–12.7] mmHg and 6 [3–8]; P = 0.011 and < 0.001, respectively), which were within target ranges in both groups. Other secondary outcomes were comparable between the groups. Consequently, remimazolam emerges as a promising anesthetic agent, characterized by rapid recovery and stable hemodynamics, during RFCA of AF. Trial registration: NCT05397886
Sleep Deprivation and Fatigue among Nurses Working Consecutive Night Shifts: A Prospective Observational Study
Purpose: This study aimed to identify changes in sleep patterns and fatigue levels during consecutive night shifts among shift nurses and to determine the association between sleep parameters and increased fatigue levels during work. Methods: This prospective observational study employing ecological momentary assessments was conducted using data collected from 98 shift nurses working in Korean hospitals between June 2019 and February 2021. The sleep patterns were recorded using actigraphy. The participants reported their fatigue levels at the beginning and end of each night shift in real time via a mobile link. Linear mixed models were used for the analysis. Results: Nurses spent significantly less time in bed and had shorter sleep durations during consecutive night shifts than on off-duty days, whereas their wake times after sleep onset were much longer on off-duty days than on on-duty days. Fatigue levels were higher on the second and third night-shift days than on the first night-shift days. A shorter time spent in bed and asleep was associated with a greater increase in fatigue levels at the end of the shift than at the beginning. Conclusion: Nurses experience significant sleep deprivation during consecutive night shifts compared with off-duty days, and this sleep shortage is associated with a considerable increase in fatigue levels at the end of shifts. Nurse managers and administrators must ensure sufficient intershift recovery time during consecutive night shifts to increase the time spent in bed and sleeping
Serum MRGPRX2 as a Long-term Biomarker for Iodinated Contrast Media-Induced Anaphylaxis
The diagnosis of anaphylaxis is based on the clinical history. The utility of tryptase measurements in clinical setting is limited. Mas-related G protein-coupled receptor-X2 (MRGPRX2) is expressed in mast cells and is involved in the degranulation of these cells. We evaluated the potential of MRGPRX2 as a diagnostic biomarker in patients with iodinated contrast media (ICM)-induced immediate hypersensitivity reactions (IHRs). A total of 173 patients with documented ICM-induced IHR within 4 months from registration were enrolled and skin tests for the culprit ICM were performed. The time interval was evaluated as the duration between the onset of ICM-induced IHR and the measurement of serum MRGPRX2 levels. Serum MRGPRX2 concentration was determined using an enzyme-linked immunosorbent assay kit. Of the 173 patients, 33 and 140 were included in the anaphylaxis and non-anaphylaxis groups, respectively. Serum MRGPRX2 levels were significantly higher in the anaphylaxis than in the non-anaphylaxis group (29.9 ± 24.1 vs. 20.7±17.5, P = 0.044). Serum MRGPRX2 showed a moderate predictive ability for anaphylaxis, with an area under the curve of 0.61 (P = 0.058). When groups were classified based on the time interval, T1(0-2months) and T2 (2-4months), patients with anaphylaxis had higher MRGPRX2 levels compared to the non-anaphylaxis group in the T2 group (36.5±19.2 vs. 20.5±19.0, P = 0.035). This pilot study shows that serum MRGPRX2 is a potential long-term biomarker for predicting anaphylaxis, particularly ICM-induced anaphylaxis. Further studies are needed to determine the role of MRGPRX2 in anaphylaxis in a larger population of patients with various drug-induced IHRs
Effectiveness of self-management program for gastric cancer patients: A randomized controlled trial comparing gain vs. loss message framing
Objective: This study aims to evaluate the effectiveness of a self-management program using gain/loss-framed messages in patients with gastric cancer. Methods: In this randomized controlled trial, 69 patients with gastric cancer who underwent gastrectomy at a university hospital were assigned to the gain- or loss-framed message group. The self-management program consisted of: 1) face-to-face education, 2) gain/loss-framed text messages, and 3) self-monitoring of health behaviors. Health outcomes (i.e., nutritional status, physical activity, exercise intensity, and distress), and health behaviors (i.e., dietary habits, physical activity performance, and distress management) were measured, and a generalized estimating equation was used for the analysis. Results: Nutritional status and dietary habits in the loss framed message group were statistically higher after the intervention compared to the counterpart (β = −1.72, p = .049; β = 0.36, p = .033, respectively). There was no time-group interaction effect on physical activity, exercise intensity, physical activity performance, distress or distress management. Conclusions: A self-management program employing loss-framed messages was effective in promoting nutrition-related self-management among patients with gastric cancer. Practice implications: Message-framing is an effective communication technique that can be easily used in clinical settings, and a loss-message-framing strategy may enhance nutrition-related self-management in patients with gastric cancer
An epidermal growth factor receptor-targeting immunotoxin based on IgG shows potent antitumor activity against head and neck cancer
The epidermal growth factor receptor (EGFR) is an important target for cancer therapies. Many head and neck cancer (HNC) cells have been reported to overexpress EGFR; therefore, anti-EGFR therapies have been attempted in patients with HNC. However, its clinical efficacy is limited owing to the development of drug resistance. In this study, we developed an EGFR-targeting immunotoxin consisting of a clinically proven anti-EGFR IgG (cetuximab; CTX) and a toxin fragment (LR-LO10) derived from Pseudomonas exotoxin A (PE) using a novel site-specific conjugation technology (peptide-directed photo-crosslinking reaction), as an alternative option. The immunotoxin (CTX-LR-LO10) showed specific binding to EGFR and properties of a typical IgG, such as stability, interactions with receptors of immune cells, and pharmacokinetics, and inhibited protein synthesis via modification of elongation factor-2. Treatment of EGFR-positive HNC cells with the immunotoxin resulted in apoptotic cell death and the inhibition of cell migration and invasion. The efficacy of CTX-LR-LO10 was evaluated in xenograft mouse models, and the immunotoxin exhibited much stronger tumor suppression than CTX or LR-LO10. Transcriptome analyses revealed that the immunotoxins elicited immune responses and altered the expression of genes related to its mechanisms of action. These results support the notion that CTX-LR-LO10 may serve as a new therapeutic agent targeting EGFR-positive cancers
A Path to Better Sleep and Circadian Health: Optimizing and Personalizing Indoor Lighting
Circadian rhythms play a crucial role in the regulation of sleep, metabolism, and cognitive function. However, they are highly sensitive to disturbances caused by irregular indoor lighting, especially exposure to blue light at night. This review explored the impact of indoor lighting on circadian and sleep health by analyzing trends in light exposure, socioeconomic disparities, and the prioritization of economic efficiency over health in modern lighting design. Significant variations in individual circadian rhythms present a challenge in creating standardized lighting environments. To address this issue, a review suggested the development of personalized lighting systems that use advanced sensors to monitor and respond to the circadian phase of each individual. By dynamically adjusting light intensity, wavelength, and timing, these systems can better align with personal biological clocks, promote optimal sleep and overall health, and advance the concept of truly human-centric lighting environments
Modelos de Superficie de las Cuatro Cámaras en Corazones de Adultos Jóvenes con Volúmenes Promedio Medidos Mediante Herramientas de Inteligencia Artificial
The average volumes of normal heart chambers in computed tomography (CT) are used not only as clinical criterions for heart disease diagnosis, but also as references in cardiology. With the development of artificial intelligence (AI), numerous CT data can be analyzed and segmented automatically. This study aimed to determine the average volumes of the four chambers in healthy adult hearts and present surface models with the average volume. Coronary CT angiographs of 508 Korean individuals (330 men and 178 women, 20 – 39 years old) were obtained. An automatic segmentation module for 3D Slicer was developed using machine learning in Anatomage KoreaTM. Using the module, the four chambers and heart valves in the CT were segmented and reconstructed into surface models. Surface models of the four chambers of identical hearts in the CT were produced using SimplewareTM. The volumes of structures were measured using Sim4life Light and statistically analyzed. After determining the average volumes of the four chambers, surface models of the average volumes were constructed. In both software measurements, the atrial volumes of females increased with age, and the ventricular volumes of males decreased significantly with age. The atrial and ventricular volumes of Simpleware were larger and smaller than those of Anatomage, respectively, because of errors in the Simpleware. Regarding the volume measurement, our module developed in this study was more accurate than the Simpleware. The average volume and three-dimensional models used in this study can be used not only for clinical purposes, but also for educational or industrial purposes
Hyperosmolar therapy response in traumatic brain injury: Explainable artificial intelligence based long-term time series forecasting approach
In the neurological intensive care setting implementing tier-based therapy, osmotic therapy serves as an intermediate approach for reducing intracranial pressure (ICP). However, discussions regarding quantitative and specific criteria for the maintenance and transition of treatment remain limited. This study proposes an explainable neural network forecasting of physiological responses after osmotic therapy administration for the purpose of treatment guidance. Recordings of arterial blood pressure and intracranial pressure were obtained from 107 patients with traumatic brain injury. To maintain adequate intracranial pressure, arterial blood pressure, and cerebral perfusion pressure, 20 % mannitol (100 ml; no. infusion, 3,571) and 11.3 % hypertonic saline (40 ml; no. infusion, 574) were administered. The LTSF-NLinear model was used to predict the target signal response for the subsequent 1 h. Six prediction models were derived by combining two agents (mannitol or hypertonic saline) and three target signals (mean arterial blood pressure, mean intracranial pressure and cerebral perfusion pressure). To validate the model's robustness while considering patient heterogeneity, group (5)-fold cross-validation was implemented. To assess the predictive ability of the proposed model for adverse clinical events, binary classification of hypotension, intracranial hypertension, and cerebral hypoperfusion was performed. The overall function of the model was elucidated using linear weight visualization. Additionally, the DeepSHAP application allows for a detailed investigation of the prediction process for a single case. The relationship between response to osmotic therapy and patient outcomes was statistically significant. The proposed models achieved reasonable performance, with R2 score > 0.8 for physiological signal predictions and accuracy > 0.9 for event predictions. Through global explanation, the recent values of mean arterial blood pressure, mean intracranial pressure, and cerebral perfusion pressure of input signals significantly influenced physiological responses after osmotic treatment. In the context of local explanation (a single case), it was possible to determine how physiological state influenced the response. The proposed model is expected to provide objective and quantitative information on osmotherapy in neurological intensive care environments, enabling guidance for alternative and aggressive treatments. Thus, it can potentially aid in enhancing the prognosis of patients with traumatic brain injury and improving the clinical workflow. Moreover, the global and local explanations of the proposed model can provide valuable insights for future researchers
Efficacy and Safety of Metformin and AtorvastatinCombination Therapy vs. Monotherapy with EitherDrug in Type 2 Diabetes Mellitus and DyslipidemiaPatients (ATOMIC): Double-Blinded RandomizedControlled Trial
Background: It is well known that a large number of patients with diabetes also have dyslipidemia, which significantly increases the risk of cardiovascular disease (CVD). This study aimed to evaluate the efficacy and safety of combination drugs consisting of metformin and atorvastatin, widely used as therapeutic agents for diabetes and dyslipidemia. Methods: This randomized, double-blind, placebo-controlled, parallel-group and phase III multicenter study included adults with glycosylated hemoglobin (HbA1c) levels >7.0% and <10.0%, low-density lipoprotein cholesterol (LDL-C) >100 and <250 mg/dL. One hundred eighty-five eligible subjects were randomized to the combination group (metformin+atorvastatin), metformin group (metformin+atorvastatin placebo), and atorvastatin group (atorvastatin+metformin placebo). The primary efficacy endpoints were the percent changes in HbA1c and LDL-C levels from baseline at the end of the treatment. Results: After 16 weeks of treatment compared to baseline, HbA1c showed a significant difference of 0.94% compared to the atorvastatin group in the combination group (0.35% vs. −0.58%, respectively; P<0.0001), whereas the proportion of patients with increased HbA1c was also 62% and 15%, respectively, showing a significant difference (P<0.001). The combination group also showed a significant decrease in LDL-C levels compared to the metformin group (−55.20% vs. −7.69%, P<0.001) without previously unknown adverse drug events. Conclusion: The addition of atorvastatin to metformin improved HbA1c and LDL-C levels to a significant extent compared to metformin or atorvastatin alone in diabetes and dyslipidemia patients. This study also suggested metformin’s preventive effect on the glucose-elevating potential of atorvastatin in patients with type 2 diabetes mellitus and dyslipidemia, insufficiently controlled with exercise and diet. Metformin and atorvastatin combination might be an effective treatment in reducing the CVD risk in patients with both diabetes and dyslipidemia because of its lowering effect on LDL-C and glucose
Discordance Between Angiographic Assessment and Fractional Flow Reserve or Intravascular Ultrasound in Intermediate Coronary Lesions: A Post-hoc Analysis of the FLAVOUR Trial
Background and Objectives: Angiographic assessment of coronary stenosis severity using quantitative coronary angiography (QCA) is often inconsistent with that based on fractional flow reserve (FFR) or intravascular ultrasound (IVUS). We investigated the incidence of discrepancies between QCA and FFR or IVUS, and the outcomes of FFR- and IVUS-guided strategies in discordant coronary lesions. Methods: This study was a post-hoc analysis of the FLAVOUR study. We used a QCA-derived diameter stenosis (DS) of 60% or greater, the highest tertile, to classify coronary lesions as concordant or discordant with FFR or IVUS criteria for percutaneous coronary intervention (PCI). The patient-oriented composite outcome (POCO) was defined as a composite of death, myocardial infarction, or revascularization at 24 months. Results: The discordance rate between QCA and FFR or IVUS was 30.2% (n=551). The QCA-FFR discordance rate was numerically lower than the QCA-IVUS discordance rate (28.2% vs. 32.4%, p=0.050). In 200 patients with ≥60% DS, PCI was deferred according to negative FFR (n=141) and negative IVUS (n=59) (15.3% vs. 6.5%, p<0.001). The POCO incidence was comparable between the FFR- and IVUS-guided deferral strategies (5.9% vs. 3.4%, p=0.479). Conversely, 351 patients with DS <60% underwent PCI according to positive FFR (n=118) and positive IVUS (n=233) (12.8% vs. 25.9%, p<0.001). FFR- and IVUS-guided PCI did not differ in the incidence of POCO (9.5% vs. 6.5%, p=0.294). Conclusions: The proportion of QCA-FFR or IVUS discordance was approximately one third for intermediate coronary lesions. FFR- or IVUS-guided strategies for these lesions were comparable with respect to POCO at 24 months