bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estratégias de prevenção do suicídio e da autolesão voltadas para adolescentes em ambientes escolares: uma revisão integrativa da literatura
Authors: Escobar Amanda de Morais Pinto Ribeiro , Arruda Mariana de Fátima Alves , Sobrinho Jose Eudes de  Lorena 
Published: February 2022

Os comportamentos suicidas e de autolesão são um desafio para a Saúde Pública, especificamente para a saúde do adolescente, necessitando de intervenções intersetoriais. Neste sentido, os ambientes escolares mostram-se como espaços potenciais para o desenvolvimento de estratégias de prevenção dos citados comportamentos. O objetivo deste estudo foi analisar na literatura estratégias eficazes de prevenção do suicídio e da autolesão voltadas para adolescentes em ambientes escolares. Trata-se de uma revisão integrativa da literatura, realizada no período de setembro a outubro de 2021, com a utilização das seguintes bases de dados online: Medical Literature Analysis and Retrievel System Online (MEDLINE), Literatura Latino-americana e do Caribe em Ciências da Saúde (LILACS), Índice Bibliográfico Español en Ciências de La Salud (IBECS), Base de Dados em Enfermagem (BDENF), Coleciona SUS e Index Psicologia- Periódicos pesquisadas via portal da Biblioteca Virtual em Saúde (BVS) e na base Education Resources Information Center (ERIC). Ao realizar as etapas previstas na revisão resultaram um total de 11 artigos que atenderam aos critérios de elegibilidade do estudo. As intervenções de prevenção ao suicídio e da autolesão encontradas nesta revisão de literatura abordaram questões de saúde mental através do fortalecimento das habilidades socioemocionais e os programas apontaram predominância de treinamento para reconhecimento dos sinais do comportamento suicida e encaminhamento aos profissionais da saúde mental, principalmente o Gatekeeper (guardiões da vida). Quanto à eficácia dos estudos incluídos, foi verificado que existiram resultados promissores na maioria deles, entretanto alguns destes apresentaram lacunas.
Survival Analysis of COPD Patients in a 13-Year Nationwide Cohort Study of the Brazilian National Health System
Authors: Gargano Ludmila Peres , Zuppo Isabella de Figueiredo , Nascimento Mariana Martins Gonzaga do , Augusto Valéria Maria , Godman Brian , Costa Juliana de Oliveira , Acúrcio Francisco Assis , Álvares-Teodoro Juliana , Guerra Augusto Afonso 
Published: February 2022

BackgroundChronic obstructive pulmonary disease (COPD) has an appreciable socioeconomical impact in low- and middle-income countries, but most epidemiological data originate from high-income countries. For this reason, it is especially important to understand survival and factors associated with survival in COPD patients in these countries.ObjectiveTo assess survival of COPD patients in Brazil, to identify risk factors associated with overall survival, including treatment options funded by the Brazilian National Health System (SUS).MethodologyWe built a retrospective cohort study of patients dispensed COPD treatment in SUS, from 2003 to 2015 using a National Database created from the record linkage of administrative databases. We further matched patients 1:1 based on sex, age and year of entry to assess the effect of the medicines on patient survival. We used the Kaplan-Meier method to estimate overall survival of patients, and Cox's model of proportional risks to assess risk factors.ResultThirty seven thousand and nine hundred and thirty eight patients were included. Patient's survival rates at 1 and 10 years were 97.6% (CI 95% 97.4–97.8) and 83.1% (CI 95% 81.9–84.3), respectively. The multivariate analysis showed that male patients, over 65 years old and underweight had an increased risk of death. Therapeutic regimens containing a bronchodilator in a free dose along with a fixed-dose combination of corticosteroid and bronchodilator seem to be a protective factor when compared to other regimens.ConclusionOur findings contribute to the knowledge of COPD patients' profile, survival rate and related risk factors, providing new evidence that supports the debate about pharmacological therapy and healthcare of these patients.
Integrated Analysis of Multiple Microarrays Based on Raw Data Identified Novel Gene Signatures in Recurrent Implantation Failure
Authors: Zeng Hong , Fu Yu , Shen Lang , Quan Song 
Published: February 2022

BackgroundRecurrent implantation failure (RIF) is an intricate complication following IVF-ET, which refers to the situation that good-quality embryos repeatedly fail to implant following two or more IVF cycles. Intrinsic molecular mechanisms underlying RIF have not yet been fully elucidated. With enormous improvement in high-throughput technologies, researchers screened biomarkers for RIF using microarray. However, the findings of published studies are inconsistent. An integrated study on the endometrial molecular determinants of implantation will help to improve pregnancy outcomes.ObjectiveTo identify robust differentially expressed genes (DEGs) and hub genes in endometrium associated with RIF, and to investigate the diagnostic role of hub genes in RIF.MethodsRaw data from five GEO microarrays regarding RIF were analyzed. Integrated genetic expression analyses were performed using the Robust Rank Aggregation method to identify robust DEGs. Enrichment analysis and protein-protein interaction (PPI) analysis were further performed with the robust DEGs. Cytohubba was used to screen hub genes based on the PPI network. GSE111974 was used to validate the expression and diagnostic role of hub genes in RIF.Results1532 Robust DEGs were identified by integrating four GEO datasets. Enrichment analysis showed that the robust DEGs were mainly enriched in processes associated with extracellular matrix remodeling, adhesion, coagulation, and immunity. A total of 18 hub genes (HMGCS1, SQLE, ESR1, LAMC1, HOXB4, PIP5K1B, GNG11, GPX3, PAX2, TF, ALDH6A1, IDH1, SALL1, EYA1, TAGLN, TPD52L1, ST6GALNAC1, NNMT) were identified. 10 of the 18 hub genes were significantly differentially expressed in RIF patients as validated by GSE111974. The 10 hub genes (SQLE, LAMC1, HOXB4, PIP5K1B, PAX2, ALDH6A1, SALL1, EYA1, TAGLN, ST6GALNAC1) were effective in predicting RIF with an accuracy rate of 85%, specificity rate of 100%, and sensitivity rate of 88.9%.ConclusionsOur integrated analysis identified novel robust DEGs and hub genes in RIF. The hub genes were effective in predicting RIF and will contribute to the understanding of comprehensive molecular mechanisms in RIF pathogenesis.
The Burden of Neonatal Diseases Attributable to Ambient PM 2.5 in China From 1990 to 2019
Authors: Yuan Jia , Shi Lu , Li Hongbo , Zhou Jing , Zeng Lingxia , Cheng Yue , Han Bei 
Published: February 2022

Background: Air pollution exposure is an environmental risk to public health. And the available data on relationships of air pollution and neonatal disease burden are scarce. This study assessed neonatal disease burden attributable to Particulate Matter 2.5 (PM 2.5) pollution in China.Methods: This is a retrospective analysis with data from the GBD2019 database. Data of PM 2.5 pollution exposure levels and neonatal disease burden attributable to PM 2.5 in China from 1990 to 2019 were obtained from the Global Burden of Disease Study 2019 (GBD 2019); Data of PM2.5 concentration was collected from the Bulletin of the State of the Ecological Environment in China; Data of perinatal mortality was collected from the Chinese Maternal and Child Health Surveillance Network. Deaths, Disability-adjusted life years (DALYs), Year of life lost (YLLs), and Years lived with disability (YLDs) are primary indicators used to assess neonatal diseases burden. The correlation of PM2.5 pollution and neonatal death was analyzed. Average Annual Percentage Change (AAPC) and increment were used to assess exposure levels and disease burden trends.Results: PM 2.5 pollution exposure level of newborns in China is much higher than global average, 32.08 per 100 people (95% UI: 26.57–38.06) in 2019 compared to 1990 (15.86 per 100 people, 95% UI: 6.83–30.88), with an increase of 102.27%. And it is statistically verified PM2.5 concentration was positively correlated with neonatal disease deaths (r = 0.9534, p = 0.0009) and DALYs (r = 0.9534, p = 0.0009). The overall disease burden of neonatal diseases attributed to PM 2.5 pollution in China has decreased from 1990 to 2019, with a decrement of 5738.34 deaths (decreased: 56.85%), 51.01 person/years (decreased: 56.84%) for DALYs, 51.23 person/years (decreased: 57.11%) for YLLs and an increase of 150.69 person/years (increased: 31.71%) for YLDs.Conclusion: There exists positive correlation between environmental pollution and neonatal diseases in China. The number of neonatal disease deaths, DALYs, and YLLs due to PM 2.5 pollution showed a decreasing trend with the environmental pollution control. For the rising YLDs, there is a need to improve survival rates while focusing on prognosis of neonatal disease and reducing the burden of disease brought on by disability. Controlling environmental pollution is likely to help reduce neonatal disease burden, especially premature birth and neonatal encephalopathy.
Analysis of Upstream Regulators, Networks, and Pathways Associated With the Expression Patterns of Polycystic Ovary Syndrome Candidate Genes During Fetal Ovary Development
Authors: Azumah Rafiatu , Hummitzsch Katja , Hartanti Monica D. , St. John Justin C. , Anderson Richard A. , Rodgers Raymond J. 
Published: February 2022

Polycystic Ovary Syndrome (PCOS) is a multifactorial syndrome with reproductive, endocrine, and metabolic symptoms, affecting about 10% women of reproductive age. Pathogenesis of the syndrome is poorly understood with genetic and fetal origins being the focus of the conundrum. Genetic predisposition of PCOS has been confirmed by candidate gene studies and Genome-Wide Association Studies (GWAS). Recently, the expression of PCOS candidate genes across gestation has been studied in human and bovine fetal ovaries. The current study sought to identify potential upstream regulators and mechanisms associated with PCOS candidate genes. Using RNA sequencing data of bovine fetal ovaries (62–276 days, n = 19), expression of PCOS candidate genes across gestation was analysed using Partek Flow. A supervised heatmap of the expression data of all 24,889 genes across gestation was generated. Most of the PCOS genes fell into one of four clusters according to their expression patterns. Some genes correlated negatively (early genes; C8H9orf3, TOX3, FBN3, GATA4, HMGA2, and DENND1A) and others positively (late genes; FDFT1, LHCGR, AMH, FSHR, ZBTB16, and PLGRKT) with gestational age. Pathways associated with PCOS candidate genes and genes co-expressed with them were determined using Ingenuity pathway analysis (IPA) software as well as DAVID Bioinformatics Resources for KEGG pathway analysis and Gene Ontology databases. Genes expressed in the early cluster were mainly involved in mitochondrial function and oxidative phosphorylation and their upstream regulators included PTEN, ESRRG/A and MYC. Genes in the late cluster were involved in stromal expansion, cholesterol biosynthesis and steroidogenesis and their upstream regulators included TGFB1/2/3, TNF, ERBB2/3, VEGF, INSIG1, POR, and IL25. These findings provide insight into ovarian development of relevance to the origins of PCOS, and suggest that multiple aetiological pathways might exist for the development of PCOS.
Pharmacokinetics of Esomeprazole in Critically Ill Patients
Authors: Xu Yanyan , Tian Xin , Wang Wei , Tian Weiqiang , Zhang Tao , Sun Jian , Zhou Qingyun , Shao Chuxiao 
Published: February 2022

BackgroundEsomeprazole, a potent proton pump inhibitor (PPI), is widely used for the prevention of stress ulcers in intensive care unit (ICU) patients.ObjectiveThis study investigates the pharmacokinetics (PK) of esomeprazole in critically ill patients.MethodsThe study included eligible adult ICU patients who received endotracheal intubation assisted mechanical ventilation for more than 48 h and had at least an extra risk factor for stress ulcers. All enrolled patients received once-daily intravenous (IV) esomeprazole 40 mg. After the first dose of esomeprazole was administrated, serial blood samples were collected at 3, 5, 15, 30 min and 1, 2, 4, 6, 8, and 10 h. The total sample concentrations of esomeprazole were measured by UPLC-MS/MS. Esomeprazole PK parameters were analyzed using noncompartmental analysis.ResultsA total of 30 patients were evaluable. Mean age and body mass index (BMI) were 61.97 years and 23.14. PK sampling on the first dose resulted in the following median (IQR) parameters: AUC0−∞ 8.06 (6.65–9.47) mg·h/L; MRT0−∞ 4.70 (3.89–5.51) h; t1/2 3.29 (2.7–3.87) h; V 24.89 (22.09–27.69) L; CL 6.13 (5.01–7.26) L/h; and Cmax 2.56 (2.30–2.82) mg/L.ConclusionsAccording to the label of esomeprazole, our study showed different esomeprazole PK parameters in ICU patients compared with healthy volunteers. Esomeprazole has unique pharmacokinetic parameters in critically ill patients.
Research Hotspots and Trend Exploration on the Clinical Translational Outcome of Simulation-Based Medical Education: A 10-Year Scientific Bibliometric Analysis From 2011 to 2021
Authors: Yao Shun , Tang Yabin , Yi Chenyue , Xiao Yao 
Published: February 2022

BackgroundIn recent decades, an increasing number of studies have focused on the clinical translational effect of simulation-based medical education (SBME). However, few scientific bibliometric studies have analyzed the research hotspots and publication trends. This study aimed to investigate research hotspots and future direction in the clinical translational outcome of SBME via bibliometrics.MethodRelevant publications on the clinical translational outcomes of SBME from 2011 to 2021 were identified and retrieved from the Web of Science Core Collection (WOSCC). Software including VOSviewer (1.6.17) and CiteSpace (5.8R3) and a platform (bibliometric.com) were employed to conduct bibliographic and visualized analysis on the literature.ResultsA total of 1,178 publications were enrolled. An increasing number of publications were observed in the past decades from 48 in 2011 to 175 in 2021. The United States accounted for the largest number of publications (488, 41.4%) and citations (10,432); the University of Toronto and Northwestern University were the leading institutions. Academic Medicine was the most productive journal concerning this field. McGaghie W C and Konge L were the most influential authors in this area. The hot topic of the translational outcome of SBME was divided into 3 stages, laboratory phase, individual skill improvement, and patient outcome involving both technical skills and non-technical skills. Translational research of comprehensive impact and collateral outcomes could be obtained in the future.ConclusionFrom the overall trend of 10 years of research, we can see that the research is roughly divided into three phases, from laboratory stage, individual skill improvement to the patient outcomes, and comprehensive impacts such as skill retention and collateral effect as cost-effectiveness is a major trend of future research. More objective evaluation measurement should be designed to assess the diverse impact and further meta-analysis and randomized controlled trials are needed to provide more clinical evidence of SBME as translational science.
Development of a Risk Model for Predicting Microalbuminuria in the Chinese Population Using Machine Learning Algorithms
Authors: Lin Wei , Shi Songchang , Huang Huibin , Wang Nengying , Wen Junping , Chen Gang 
Published: February 2022

ObjectiveMicroalbuminuria (MAU) occurs due to universal endothelial damage, which is strongly associated with kidney disease, stroke, myocardial infarction, and coronary artery disease. Screening patients at high risk for MAU may aid in the early identification of individuals with an increased risk of cardiovascular events and mortality. Hence, the present study aimed to establish a risk model for MAU by applying machine learning algorithms.MethodsThis cross-sectional study included 3,294 participants ranging in age from 16 to 93 years. R software was used to analyze missing values and to perform multiple imputation. The observed population was divided into a training set and a validation set according to a ratio of 7:3. The first risk model was constructed using the prepared data, following which variables with P &lt;0.1 were extracted to build the second risk model. The second-stage model was then analyzed using a chi-square test, in which a P ≥ 0.05 was considered to indicate no difference in the fit of the models. Variables with P &lt;0.05 in the second-stage model were considered important features related to the prevalence of MAU. A confusion matrix and calibration curve were used to evaluate the validity and reliability of the model. A series of risk prediction scores were established based on machine learning algorithms.ResultsSystolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood glucose (FBG), triglyceride (TG) levels, sex, age, and smoking were identified as predictors of MAU prevalence. Verification using a chi-square test, confusion matrix, and calibration curve indicated that the risk of MAU could be predicted based on the risk score.ConclusionBased on the ability of our machine learning algorithm to establish an effective risk score, we propose that comprehensive assessments of SBP, DBP, FBG, TG, gender, age, and smoking should be included in the screening process for MAU.
Xanthine Oxidoreductase Inhibitor Use Associated With Reduced Risk of Sarcopenia and Severe Sarcopenia in Patients Undergoing Hemodialysis
Authors: Kurajoh Masafumi , Mori Katsuhito , Miyabe Mizuki , Matsufuji Shota , Kizu Akane , Tsujimoto Yoshihiro , Emoto Masanori 
Published: February 2022

BackgroundXanthine oxidoreductase (XOR) inhibition reduces reactive oxygen species (ROS) production and enhances adenosine triphosphate (ATP) synthesis. We investigated the protective effects of XOR inhibitor treatment on sarcopenia, frequently observed in patients undergoing hemodialysis (HD), in which increased ROS and ATP shortage are known to be involved.MethodsThis retrospective cross-sectional study included 296 HD patient (203 males, 93 females). Muscle mass, physical performance, and muscle strength were assessed using dual-energy X-ray absorptiometry, five-time chair stand testing, and handgrip strength, respectively. The Asian Working Group for Sarcopenia 2019 criteria were used to define low muscle mass, low physical performance, and low muscle strength, as well as sarcopenia and severe sarcopenia.ResultsSarcopenia and severe sarcopenia prevalence rates were 42.2 and 20.9%, respectively. XOR inhibitor users (n = 119) showed a significantly (p &lt; 0.05) lower prevalence of sarcopenia and severe sarcopenia, as well as reduced muscle mass, physical performance, and muscle strength than non-users (n = 177). Multivariate logistic regression analyses also revealed XOR inhibitor use to be significantly associated with low muscle mass [odds ratio (OR), 0.384; 95% confidence interval (CI), 0.183–0.806; p = 0.011] and low physical performance (OR, 0.286; 95% CI, 0.142–0.578; p &lt; 0.001), while significance with low muscle strength was borderline. Furthermore, XOR inhibitor use was significantly associated with sarcopenia (OR, 0.462; 95% CI, 0.226–0.947; p = 0.035) and severe sarcopenia (OR, 0.236; 95% CI, 0.091–0.614; p = 0.003).ConclusionsXOR inhibitor use was significantly associated with reduced risk of sarcopenia/severe sarcopenia in HD patients, suggesting that XOR inhibitor treatment has protective effects on sarcopenia in HD patients.
Comparative Efficacy of Acupuncture-Related Techniques for Urinary Retention After a Spinal Cord Injury: A Bayesian Network Meta-Analysis
Authors: He Kelin , Li Xinyun , Qiu Bei , Jin Linzhen , Ma Ruijie 
Published: February 2022

BackgroundUrinary retention is one of the most frequent complications of spinal cord injuries (SCI) and negatively impacts patient satisfaction and quality of life. Acupuncture as an integral part of traditional Chinese medicine (TCM) has recently drawn widespread attention for its potential in the management of urinary retention. However, there are many different styles of acupuncture-related techniques, and the optimal choice of acupuncture for urinary retention after SCI is still unclear. Hence, this study uses a Bayesian network meta-analysis (NMA) to compare the efficacy of different types of acupuncture therapies using both direct and indirect evidence.MethodsRandomized controlled trials of acupuncture-related techniques for treating urinary retention after SCI were retrieved from the following electronic databases: Pubmed, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), the Chinese Biomedical Literature Service System (SinoMed), the Wan-Fang database, and the Chinese Scientific Journals Database (VIP). The retrieval time was from inception to November 2020. Clinical effective rate (CER) was the primary outcome indicator and residual urine volume (RUV) was the secondary outcome indicator. A Bayesian NMA was performed using the Markov chain Monte Carlo method in R software (version 3.6.1) interfacing with JAGS software (version 4.3.0). The node-splitting method was used to identify inconsistencies. In addition, a comparative adjusted funnel plot was used to assess publication bias.ResultsA total of 26 randomized controlled trials involving 1,652 patients were included. Bayesian NMA showed that electroacupuncture combined with moxibustion ranks first in both CER and RUV. In addition, in terms of cumulative probability, electro-acupuncture combined with moxibustion ranked first in CER. The results of the node splitting method revealed that direct and indirect evidence were consistent (P &gt; 0.05). In addition, publication bias was detected.ConclusionA Bayesian NMA that combined direct and indirect comparisons showed that electro-acupuncture combined with moxibustion had a better effect on urinary retention due to SCI. However, it still needs a large sample size and high-quality randomized controlled trials to verify this finding.Systematic Review Registration:https://inplasy.com/, identifier: INPLASY2021110005.