bluuebunny/crossref_metadata_2025_split huggingface dataset:
A study predicting long-term survival capacity in postoperative advanced gastric cancer patients based on MAOA and subcutaneous muscle fat characteristics
Authors: Han Yubo , Chang Yaoyuan , Wang Jiaqi , Li Nanbo , Yu Yang , Yang Zhengbo , Lv Weipeng , Liu Wenfei , Yin Jiajun , Wu Ju 
Published: July 2024

Abstract
Background
The prognosis of advanced gastric cancer (AGC) is relatively poor, and long-term survival depends on timely intervention. Currently, predicting survival rates remains a hot topic. The application of radiomics and immunohistochemistry-related techniques in cancer research is increasingly widespread. However, their integration for predicting long-term survival in AGC patients has not been fully explored.

Methods
We Collected 150 patients diagnosed with AGC at the Affiliated Zhongshan Hospital of Dalian University who underwent radical surgery between 2015 and 2019. Following strict inclusion and exclusion criteria, 90 patients were included in the analysis. We Collected postoperative pathological specimens from enrolled patients, analyzed the expression levels of MAOA using immunohistochemical techniques, and quantified these levels as the MAOAHScore. Obtained plain abdominal CT images from patients, delineated the region of interest at the L3 vertebral body level, and extracted radiomics features. Lasso Cox regression was used to select significant features to establish a radionics risk score, convert it into a categorical variable named risk, and use Cox regression to identify independent predictive factors for constructing a clinical prediction model. ROC, DCA, and calibration curves validated the model’s performance.

Results
The enrolled patients had an average age of 65.71 years, including 70 males and 20 females. Multivariate Cox regression analysis revealed that risk (P = 0.001, HR = 3.303), MAOAHScore (P = 0.043, HR = 2.055), and TNM stage (P = 0.047, HR = 2.273) emerged as independent prognostic risk factors for 3-year overall survival (OS) and The Similar results were found in the analysis of 3-year disease-specific survival (DSS). The nomogram developed could predict 3-year OS and DSS rates, with areas under the ROC curve (AUCs) of 0.81 and 0.797, respectively. Joint calibration and decision curve analyses (DCA) confirmed the nomogram’s good predictive performance and clinical utility.

Conclusion
Integrating immunohistochemistry and muscle fat features provides a more accurate prediction of long-term survival in gastric cancer patients. This study offers new perspectives and methods for a deeper understanding of survival prediction in AGC.
Long-term safety and effectiveness of lurasidone in adolescents and young adults with schizophrenia: pooled post hoc analyses of two 12-month extension studies
Authors: Calisti Fabrizio , Tocco Michael , Mao Yongcai , Goldman Robert 
Published: July 2024

Abstract
Background and Objectives
The aim of this analysis was to evaluate the long-term safety and effectiveness of lurasidone in the treatment of schizophrenia in adolescents and young adults (13–25).

Methods
The 2 pooled studies used similar designs and outcome measures. Patients (13–25) with schizophrenia completed an initial double-blind 6-week trial of lurasidone (40 and 80 mg/day) in the adolescent trial and (80 and 160 mg/day) in the young adult trial. In open-label long-term trials, adolescent patients were treated with 20–80 mg/day lurasidone, and adults were treated with 40–160 mg/day lurasidone. Efficacy was evaluated based on the Positive and Negative Syndrome Scale (PANSS) and Clinical Global Impression-Severity Scale (CGI-S).

Results
The safety population consisted of 306 patients (mean age, 16.2 years; 208 patients (68.0%) who completed 12 months of treatment; 8.2% who discontinued treatment by 12 months due to an adverse event). The mean (SD) changes in the PANSS total score from the extension baseline to months 6 and 12 were − 11.8 (13.9) and – 15.3 (15.0), respectively (OC), and the mean (SD) changes in the CGI-S score were − 0.8 (1.0) and − 1.0 (1.1), respectively (OC). The most frequent adverse events were headache (17.6%), anxiety (11.4%), schizophrenia (9.8%), and nausea (9.8%). No clinically meaningful changes were observed in weight, metabolic parameters, or prolactin.

Conclusions
In adolescents and young adults with schizophrenia, treatment with lurasidone was generally well tolerated and effective. Long-term treatment was associated with a continued reduction in symptoms of schizophrenia. Long-term treatment was associated with minimal effects on weight, metabolic parameters, and prolactin.
Clinicaltrials.gov identifiers D1050234, D1050302.
Safety of one 8.5-Fr pigtail catheter for postoperative continuous open gravity drainage after uniportal video-assisted thoracoscopic surgery pneumonectomy
Authors: Kong Xiang-Long , Zhang Yue- , Jia Yu- , Ni Bo-Xiong , Wang Mingyu- , Jin Xiang-Yuan , Xu Hai , Xu Shi-Dong 
Published: July 2024

Abstract
Objectives
Uniportal video-assisted thoracoscopic surgery pneumonectomy (U-VATS-P) is feasible and safe from a perioperative standpoint. How to choose the proper chest tube and drainage method is important in enhanced recovery after surgery (ERAS) protocols. In this study, we aimed to assess the safety of one 8.5-Fr (1Fr = 0.333 mm) pigtail catheter for postoperative continuous open gravity drainage after U-VATS-P.

Methods
We retrospectively reviewed a single surgeon’s experience with U-VATS-P for lung cancer from May 2016 to September 2022. Patients were managed with one 8.5-Fr pigtail catheter for postoperative continuous open gravity drainage after U-VATS-P. The clinical characteristics and perioperative outcomes of the patients were retrospectively analyzed.

Results
In total, 77 patients had one 8.5-Fr pigtail catheter placed for postoperative continuous open gravity drainage after U-VATS-P for lung cancer. The mean age was 60.9$$\pm$$7.39 (40–76) years; The mean FEV1 was 2.1$$\pm$$0.6 (l/s), and the mean FEV1% was 71.2$$\pm$$22.7. The median operative time was 191.38$$\pm$$59.32 min; the mean operative hemorrhage was 109.46$$\pm$$96.56 ml; the mean duration of postoperative chest tube drainage was 6.80$$\pm$$2.33 days; the mean drainage volumes in the first three days after operation were 186.31$$\pm$$50.97, 321.97$$\pm$$52.03, and 216.44$$\pm$$35.67 ml, respectively; and the mean postoperative hospital stay was 7.90$$\pm$$2.58 days. No patient experienced complications resulting from chest tube malfunction. Ten patients experienced minor complications. One patient with nonlife-threatening empyema and bronchopleural fistula required short rehospitalization for anti-inflammatory therapy and reintubation. Three patients with chylothorax were treated with intravenous nutrition. Four patients had atrial fibrillation that was controlled by antiarrhythmic therapy. Two patients had more thoracic hemorrhagic exudation after the operation, which was found in time and was cured effectively, so they were discharged from the hospital uneventfully after early hemostatic therapy and nutritional support.

Conclusions
All patients in this study received early postoperative rehabilitation, and the rate of relevant complications was low. We therefore recommend a single 8.5-Fr pigtail catheter for postoperative continuous open gravity drainage as an effective, safe and reliable drainage method for the management of U-VATS-P.
Rapid deployment aortic valve implantation in complex patients with infective endocarditis or aortic valve insufficiency
Authors: Benke Kálmán , Bánhegyi Viktor , Korca Edina , Veres Gábor , Yakobus Yuliana , Matin Meradjoddin , Szabó Gábor 
Published: July 2024

Abstract
Background
New prosthetic valves and surgical approaches that shorten operation time and improve the outcome of patients with aortic valve (AV) infective endocarditis (IE) and AV insufficiency (AVI) are crucial. The aim of this study was to evaluate the outcome of patients with AV IE or AVI treated with the EDWARDS INTUITY Rapid-Deployment AV prosthesis for this off-label indication.

Methods
This single-centre retrospective study analyzed data from patients who underwent AV replacement with the EDWARDS INTUITY Rapid-Deployment AV prosthesis for AV IE or regurgitation. (n = 8 for IE and n = 6 for AVI).

Results
Heart-lung machine times were significantly shorter in the AVI group (111.3 ± 20.7 min) compared to the IE group (171.9 ± 52.4 min) (p = 0.02). Aortic cross-clamp followed a similar trend (73.7 ± 9.9 min for AVI vs. 113.4 ± 35.6 min for IE) (p = 0.02). The length of ICU stay was also shorter in the AVI group (3.8 ± 2.6 days) compared to the IE group (16.9 ± 8.9 days) (p = 0.005). Postoperative echocardiography revealed no paravalvular leakage or significant valvular dysfunction in any patient. One patient died postoperatively from aspiration pneumonia.

Conclusion
The INTUITY valve demonstrates as a safe option for complex AV IE and AVI surgery. Further prospective studies with larger patient cohorts are necessary to confirm these findings and explore the long-term benefits of this approach.
Adolescents perception of the COVID-19 pandemic restrictions and associated mental health and well-being: gender, age and socioeconomic differences in 22 countries
Authors: Reiss Franziska , Cosma Alina , Bersia Michela , Erhart Michael , Dalmasso Paola , Devine Janine , Hulbert Sabina , Catunda Carolina , Gobina Inese , Giladi Ariela , Jeriček Klanšček Helena , Ravens-Sieberer Ulrike 
Published: July 2024

Abstract
Background
The COVID-19-pandemic has had a profound impact on the lives of adolescents worldwide. This study examined the subjective perception of the COVID-19 pandemic measures and its association with mental health and well-being (i.e., loneliness, life satisfaction and multiple health complaints) among 13- and 15-years-old adolescents from 22 countries.

Methods
Data from the cross-national Health Behaviour in School-aged Children (HBSC) 2021/22 study were used from representative samples of 22 countries (N = 67,544; 51.9% girls). The self-perceived impact of COVID-19 measure comprised 10 items asking about the impact on several dimensions of adolescent lives (e.g., relationships with family and friends, health, or eating behaviours). Measures of loneliness, multiple health complaints, and life satisfaction were included as indicators of mental health and well-being. A non-parametric multilevel latent class analysis considering individual and country-levels was conducted to identify classes of self-perceived impact of the COVID-19 measures. Multilevel logistic regression models adjusted by age and socioeconomic status were applied to assess the association between COVID-19 measure impact classes and mental health.

Results
Three classes were identified on individual level encompassing a neutral (51%), positive (31%), or negative (18%) perception of COVID-19 measures. A third of the adolescents reported a positive impact of the pandemic measures. The distribution of classes was heterogeneous within and across countries. Within the positive COVID-19 measure impact class, social relationships were the most important dimension, whereas mental health problems were mostly represented within the negative COVID-19 measure impact class. Girls with a negative perception of pandemic measures showed higher levels of loneliness and multiple health complaints and lower life satisfaction. 15-year-old adolescents and those with a low socioeconomic status reported higher levels of loneliness and lower life satisfaction.

Conclusions
The majority of adolescents perceived the pandemic measures as neutral or positive. Girls, 15-year-old adolescents, and those with low socioeconomic status were at higher risk of suffering from pandemic measures and associated problems of loneliness, multiple health complaints, and low life satisfaction. We conclude that adolescent’s mental health and well-being should be considered in the decision-making process by ensuring that the unique challenges of adolescents are adequately addressed in policies.
Utility and rationale for continuous EEG monitoring: a primer for the general intensivist
Authors: Bitar Ribal , Khan Usaamah M. , Rosenthal Eric S. 
Published: July 2024

AbstractThis review offers a comprehensive guide for general intensivists on the utility of continuous EEG (cEEG) monitoring for critically ill patients. Beyond the primary role of EEG in detecting seizures, this review explores its utility in neuroprognostication, monitoring neurological deterioration, assessing treatment responses, and aiding rehabilitation in patients with encephalopathy, coma, or other consciousness disorders. Most seizures and status epilepticus (SE) events in the intensive care unit (ICU) setting are nonconvulsive or subtle, making cEEG essential for identifying these otherwise silent events. Imaging and invasive approaches can add to the diagnosis of seizures for specific populations, given that scalp electrodes may fail to identify seizures that may be detected by depth electrodes or electroradiologic findings. When cEEG identifies SE, the risk of secondary neuronal injury related to the time-intensity “burden” often prompts treatment with anti-seizure medications. Similarly, treatment may be administered for seizure-spectrum activity, such as periodic discharges or lateralized rhythmic delta slowing on the ictal-interictal continuum (IIC), even when frank seizures are not evident on the scalp. In this setting, cEEG is utilized empirically to monitor treatment response. Separately, cEEG has other versatile uses for neurotelemetry, including identifying the level of sedation or consciousness. Specific conditions such as sepsis, traumatic brain injury, subarachnoid hemorrhage, and cardiac arrest may each be associated with a unique application of cEEG; for example, predicting impending events of delayed cerebral ischemia, a feared complication in the first two weeks after subarachnoid hemorrhage. After brief training, non-neurophysiologists can learn to interpret quantitative EEG trends that summarize elements of EEG activity, enhancing clinical responsiveness in collaboration with clinical neurophysiologists. Intensivists and other healthcare professionals also play crucial roles in facilitating timely cEEG setup, preventing electrode-related skin injuries, and maintaining patient mobility during monitoring.
Early physical rehabilitation dosage in the intensive care unit associates with hospital outcomes after critical COVID-19
Authors: Mayer Kirby P. , Haezebrouck Evan , Ginoza Lori M. , Martinez Clarisa , Jan Minnie , Michener Lori A. , Fresenko Lindsey E. , Montgomery-Yates Ashley A. , Kalema Anna G. , Pastva Amy M. , Biehl Michelle , Mart Matthew F. , Johnson Joshua K. 
Published: July 2024

Abstract
Objective
To examine the relationship between physical rehabilitation parameters including an approach to quantifying dosage with hospital outcomes for patients with critical COVID-19.

Design
Retrospective practice analysis from March 5, 2020, to April 15, 2021.

Setting
Intensive care units (ICU) at four medical institutions.

Patients
n = 3780 adults with ICU admission and diagnosis of COVID-19.

Interventions
We measured the physical rehabilitation treatment delivered in ICU and patient outcomes: (1) mortality; (2) discharge disposition; and (3) physical function at hospital discharge measured by the Activity Measure-Post Acute Care (AM-PAC) “6-Clicks” (6–24, 24 = greater functional independence). Physical rehabilitation dosage was defined as the average mobility level scores in the first three sessions (a surrogate measure of intensity) multiplied by the rehabilitation frequency (PT + OT frequency in hospital).

Measurements and main results
The cohort was a mean 64 ± 16 years old, 41% female, mean BMI of 32 ± 9 kg/m2 and 46% (n = 1739) required mechanical ventilation. For 2191 patients who received rehabilitation, the dosage and AM-PAC at discharge were moderately, positively associated (Spearman’s rho [r] = 0.484, p < 0.001). Multivariate linear regression (model adjusted R2 = 0.68, p < 0.001) demonstrates mechanical ventilation (β = − 0.86, p = 0.001), average mobility score in first three sessions (β = 2.6, p < 0.001) and physical rehabilitation dosage (β = 0.22, p = 0.001) were predictive of AM-PAC scores at discharge when controlling for age, sex, BMI, and ICU LOS.

Conclusions
Greater physical rehabilitation exposure early in the ICU is associated with better physical function at hospital discharge.
Non-coding variants impact cis-regulatory coordination in a cell type-specific manner
Authors: Pushkarev Olga , van Mierlo Guido , Kribelbauer Judith Franziska , Saelens Wouter , Gardeux Vincent , Deplancke Bart 
Published: July 2024

Abstract
Background
Interactions among cis-regulatory elements (CREs) play a crucial role in gene regulation. Various approaches have been developed to map these interactions genome-wide, including those relying on interindividual epigenomic variation to identify groups of covariable regulatory elements, referred to as chromatin modules (CMs). While CM mapping allows to investigate the relationship between chromatin modularity and gene expression, the computational principles used for CM identification vary in their application and outcomes.

Results
We comprehensively evaluate and streamline existing CM mapping tools and present guidelines for optimal utilization of epigenome data from a diverse population of individuals to assess regulatory coordination across the human genome. We showcase the effectiveness of our recommended practices by analyzing distinct cell types and demonstrate cell type specificity of CRE interactions in CMs and their relevance for gene expression. Integration of genotype information revealed that many non-coding disease-associated variants affect the activity of CMs in a cell type-specific manner by affecting the binding of cell type-specific transcription factors. We provide example cases that illustrate in detail how CMs can be used to deconstruct GWAS loci, assess variable expression of cell surface receptors in immune cells, and reveal how genetic variation can impact the expression of prognostic markers in chronic lymphocytic leukemia.

Conclusions
Our study presents an optimal strategy for CM mapping and reveals how CMs capture the coordination of CREs and its impact on gene expression. Non-coding genetic variants can disrupt this coordination, and we highlight how this may lead to disease predisposition in a cell type-specific manner.
Personality vulnerabilities and adverse event reporting in phase 1 clinical studies
Authors: Skommer Joanna , Gunesh Krish , Polasek Thomas M. 
Published: July 2024

Abstract
Background
Phase 1 clinical trials involve rigorous safety monitoring to identify any adverse effects of investigational treatments. There is growing evidence that healthy volunteers recruited in these studies may differ with respect to personality traits from the general population. This, in turn, may have a significant impact on the reporting of adverse events, particularly in trials investigating psychoactive treatments, including the psychedelic substances.

Main body
This analysis stems from our combined experience as investigators in phase 1 clinical trials and conveys an experiential understanding of the impact of psychological heterogeneity on study participation, reporting of adverse events and study outcomes.

Conclusion
Participant variability due to psychological characteristics is regularly overlooked in phase 1 clinical trials and may significantly impact on reporting of the adverse events. In our opinion, healthy volunteers who present for these studies should not only be defined by the absence of past or current medical and psychiatric illness but also characterised by their psychological attributes.
Feasibility study on heterotrophic utilization of galactose by Chlorella sorokiniana and promotion of galactose utilization through mixed carbon sources culture
Authors: Wu Shengjie , Cheng Xiao , Xu Qinyun , Wang Shikai 
Published: July 2024

Abstract
Background
The development of alternative carbon sources is important for reducing the cost of heterotrophic microalgae cultivation. Among cheap feedstocks, galactose is one of the most abundant sugars and can be easily obtained from many natural biomasses. However, it is generally difficult to be utilized by microalgae. In addition, the mechanism of its low utilization efficiency in heterotrophic cultivation is still unknown.

Results
Among seven tested carbon sources, only glucose and acetate could be efficiently utilized by C. sorokiniana in heterotrophic cultivation while there were no apparent signs of utilization of other carbohydrates, including galactose, in regular heterotrophic cultivation. However, galactose could be utilized in cultures with high inoculation sizes. This confirmed that C. sorokiniana has a complete pathway for transporting and assimilating galactose under dark conditions, but the rate of galactose utilization is quite low. In addition, the galactose utilization was greatly enhanced in mixotrophic cultures, which indicated that galactose utilization could be enhanced by additional pathways that can enhance cell growth. Based on above results, a mixed carbon source culture strategy was proposed to improve the utilization rate of galactose, and a significant synergistic effect on cell growth was achieved in cultures using a mixture of galactose and acetate.

Conclusions
This study indicated that the galactose metabolism pathway may not be inherently deficient in Chlorophyta. However, its utilization rate was too low to be detected in regular heterotrophic cultivation. Mixed carbon source culture strategy was confirmed effective to improve the utilization rate of galactose. This study contributes to a deeper understanding of the utilization ability of difficultly utilized substrates in the heterotrophic cultivation of microalgae, which is of great significance for reducing the cost of heterotrophic cultivation of microalgae.
Modified receiver architecture in software-defined radio for real-time modulation classification
Authors: Le Quoc Nam , Huynh Tan Quoc , Ta Hien Quang , Tan Phuoc Vo , Nguyen Lap Luat 
Published: July 2024

AbstractAutomatic modulation classification (AMC) is an important process for future communication systems with prominent applications from spectrum management, and secure communication, to cognitive radio. The requirement for an efficient AMC classifier is due to its capability in blind modulation recognition, which is a difficult task in real scenarios where the limitations of traditional hardware and the complexity of channel impairments are involved. Therefore, this paper proposes a complete real-time AMC system based on software-defined radio and deep learning architecture. The system demodulation performance is verified through simulations and real channel impairment conditions to ensure reliability. With at most 6 times reduced number of parameters, two proposed models convolutional long short-term memory deep neural network and residual long short-term memory neural network also show a general improvement in classification accuracy compared with reference studies. The performance of these models at real-time AMC is tested with suitable processing time for practical applications.