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Background: Cardiac autonomic neuropathy (CAN) is a severe complication of type 1 diabetes mellitus (T1DM). This meta-analysis aimed to synthesize relevant literature on the prevalence of CAN and its risk factors in individuals with T1DM. Methods: We screened relevant literature from databases based on predefined search criteria until June 28, 2022. Data extraction and quality assessment were conducted independently by two reviewers. A meta-analysis was conducted to determine the prevalence of CAN and its risk factors in individuals with T1DM using a random-effects model. A subgroup analysis was conducted to assess variations in CAN prevalence based on diabetes duration, diagnostic criteria, study quality, study design, and geographic region of the participants. Results: A total of 21 studies provided information on the prevalence of CAN, while 18 studies explored the potential risk factors for CAN. The overall estimated prevalence of CAN in individuals with T1DM was 25.8% (95% confidence interval (95% CI): 0.208-0.307), with no significant differences observed among the five regions. Additionally, smoking, lipid abnormalities, hypertension, duration of diabetes, increased body mass index, elevated glycated haemoglobin concentrations, and presence of chronic complications of diabetes, such as diabetic retinopathy, diabetic neuropathy, and diabetic nephropathy, were associated with a higher prevalence of CAN in individuals with diabetes. Conclusions: CAN is prevalent in individuals with T1DM worldwide. Efforts should be made to improve early screening and intervention for CAN, as well as to implement strategies aimed at improving or controlling early risk factors associated with CAN.
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Background: Early mobilization is one of the essential components of enhanced recovery after surgery (ERAS) pathways and has been shown to reduce complications and optimize patient outcomes. However, the effect of early mobilization for patients who undergo trans-femoral cardiac catheterization and the time for optimal mobilization timing remains controversial. We aimed to identify the safety of early mobilization and provide the optimum timing for early mobilization for patients undergoing trans-femoral cardiac catheterization. Methods: We searched MEDLINE, EMBASE, PubMed, Web of Science, Cochrane databases of systematic reviews, CINAHL, SCOPUS, China National Knowledge Infrastructure (CNKI), Wan Fang Database, and Chinese Science and Technology Periodical Database (VIP) comprehensively for randomized controlled trials associated with early mobilization, to explore its effects on patients after a trans-femoral cardiac catheterization. The risk of bias and heterogeneity of studies was assessed using the Revised Cochrane risk-of-bias tool for randomized trials (RoB 2) and I 2 index, respectively. The comprehensive Meta-analysis (CMA) was adopted to perform the meta-analysis. Results: We identified 14 trials with 2653 participants. Early mobilization was associated with significant decrease in back pain (mean difference (MD) = 0.634, 95% CI: 0.23-1.038; p = 0.002), especially in patients receiving instruction for early mobilization in 3 h~4 h versus 5 h~6 h (MD = 0.737, 95% CI: 0.431-1.043; p = 0.000) and 12 h versus 24 h (OR = 5.504, 95% CI: 1.646-18.407; p = 0.006) categories. The results of subgroup analysis also showed a significant risk reduction in urinary retention by early mobilization in 12 h versus 24 h (OR = 5.707, 95% CI: 1.859-17.521; p = 0.002) category. Conclusions: Early mobilization has not been shown to increase the risk of bleeding, hematoma, pseudoaneurysm, urinary retention, and pain at the puncture site after trans-femoral cardiac catheterization. Early mobilization is a practical initiative in ERAS, and it may be safe and feasible to advance the mobilization to 2 h~4 h.
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BACKGROUND: The efficacy and necessity of prophylactic antibiotics in clean and clean-contaminated surgery remains controversial. METHODS: The studies were screened and extracted using databases including PubMed, Embase, Cochrane Library, Web of Science, and Clinical Trials.gov according to predefined eligibility criteria. Randomized controlled trials (RCTs) comparing the effect of preoperative and postoperative prophylactic antibiotic use on the incidence of surgical site infections (SSIs) in patients undergoing any clean or clean-contaminated surgery. RESULTS: A total of 16,189 participants in 48 RCTs were included in the primary meta-analysis following the eligibility criteria. The pooled odds ratio (OR) for SSI with antibiotic prophylaxis versus placebo was 0.60 (95% CI: 0.53-0.68). The pooled OR among gastrointestinal, oncology, orthopedics, neurosurgery, oral, and urology surgery was 3.06 (95% CI: 1.05-8.91), 1.16 (95% CI: 0.89-1.50), 2.04 (95% CI: 1.09-3.81), 3.05 (95% CI: 1.25-7.47), 3.55 (95% CI: 1.78-7.06), and 2.26 (95% CI: 1.12-4.55), respectively. Furthermore, the summary mean difference (MD) for patients' length of hospitalization was -0.91 (95% CI: -1.61, -0.16). The results of sensitivity analyses for all combined effect sizes showed good stability. CONCLUSION: Antibiotics are both effective, safe, and necessary in preventing surgical wound infections in clean and clean-contaminated procedures, attributed to their reduction in the incidence of surgical site infections as well as the length of patient hospitalization.
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In the context of pig farming, this paper addresses the optimization problem of collecting fattened pigs from farms to deliver them to the abattoir. Assuming that the pig sector is organized as a competitive supply chain with narrow profit margins, our aim is to apply analytics to cope with the uncertainty in production costs and revenues. Motivated by a real-life case, the paper analyzes a rich Team Orienteering Problem (TOP) with a homogeneous fleet, stochastic demands, and maximum workload. After describing the problem and reviewing the related literature, we introduce the PJS heuristic. Our approach is first compared with exact methods, which are revealed as computationally unfeasible. Later, a scenario analysis based on a real instance was performed to gain insight into the practical aspects. Our findings demonstrate a positive correlation between the number of alternative routes explored, the number of trips, the transportation cost, and the maximum reward. Regarding the variability in the number of pigs to collect, when a truck can visit more than one farm, better solutions can be found with higher variability since the load can be combined more efficiently.
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OBJECTIVES: Career self-management is believed to be a critical behaviour in the new career era. However, the underlying mechanisms that stimulate nurses' career self-management are unclear. The aim of this study was to examine the mediating effect of self-efficacy and the moderating effect of proactive personality on the relationship between perceived organisational support and career self-management among nurses. DESIGN: This was a cross-sectional survey. SETTING AND PARTICIPANTS: A total of 1866 nurses from 15 hospitals across 15 cities in China were recruited for this study. PRIMARY AND SECONDARY OUTCOME MEASURES: The Perceived Organizational Support Scale, General Self-efficacy Scale, Proactive Personality Scale and Individual Career Management Questionnaire were used. Data were analysed using moderated mediation regressions with Hayes' PROCESS macro in SPSS version 26.0. RESULTS: General self-efficacy mediated the relationship between perceived organisational support and career self-management. Proactive personality moderated the direct (B=0.043, p<0.001, 95% CI 0.026 to 0.060) and indirect relationship (B=0.098, p<0.001, 95% CI 0.074 to 0.123) between perceived organisational support and career self-management. Further, the positive effects of perceived organisational support on general self-efficacy and career self-management were stronger for nurses with a high level of proactive personality. The model explained 47.2% of the variance in career self-management. CONCLUSION: The findings highlight the crucial benefits of self-efficacy and important conditional effects of perceived organisational support on nurses' career self-management.
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Personalidad , Autoeficacia , Humanos , Femenino , Estudios Transversales , Masculino , Adulto , China , Encuestas y Cuestionarios , Automanejo/psicología , Análisis de Mediación , Cultura Organizacional , Persona de Mediana Edad , Personal de Enfermería en Hospital/psicología , Satisfacción en el Trabajo , Enfermeras y Enfermeros/psicología , Actitud del Personal de Salud , Apoyo SocialRESUMEN
Background: The excessive accumulation of lactate within the tumor microenvironment (TME) has been demonstrated to facilitate tumor advancement and evade the immune system. Nonetheless, the metabolic status of lactate in lung adenocarcinoma (LUAD) remains uncertain. Method: By analyzing the transcriptome profile of patients with LUAD, we created a lactate metabolism score (LMS) to predict survival. We then conducted a comprehensive examination of the biological functions and immune infiltration among different LMS patient groups. Moreover, we assessed the LMS predictive efficacy in chemotherapy and immunotherapy. Finally, we validated the detrimental phenotypic effects of SLC16A3 on LUAD cell lines (PC9 and A549) through in vitro experiments. We collected clinical samples to assess the prognostic impact of SLC16A3. Results: We constructed an LMS model with 6 lactate metabolism regulatory factors using LASSO regression. The high LMS model indicates worse clinical outcomes for LUAD patients. High LMS patients are associated with metabolic dysregulation and increased infiltration of M0 and M1 macrophages. Low LMS patients are related to upregulated citric acid metabolism pathways and memory immune cells. High LMS patients are suitable for traditional chemotherapy, while patients with low LMS are more likely to benefit from immunotherapy. Lastly, downregulating SLC16A3 significantly reduces the proliferative and invasive capabilities of LUAD cell lines. Clinical cohort shows that patients with high expression of SLC16A3 have a worse prognosis. Conclusions: The LMS model constructed based on the lactate metabolism pathway displays high effectiveness in predicting the outcome of patients with LUAD. LMS can offer direction regarding chemotherapy as well as immunotherapy in LUAD.
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Introduction: Ischemic stroke (IS) is a cerebrovascular disease that can be disabling and fatal, and there are limitations in the clinical treatment and prognosis of IS. It has been reported that changes in the expression profile of circRNAs have been found during injury in ischemic stroke, and circRNAs play an important role in the IS cascade response. However, the specific mechanisms involved in the pathogenesis of IS are not yet fully understood, and thus in-depth studies are needed. Methods: In this study, one circRNA dataset (GSE161913), one miRNA dataset (GSE60319) and one mRNA dataset (GSE180470) were retrieved from the Gene Expression Omnibus (GEO) database and included, and the datasets were differentially expressed analyzed by GEO2R and easyGEO to get the DEcircRNA, DEmiRNA and DEmRNA, and DEmRNA was enriched using ImageGP, binding sites were predicted in the ENCORI database, respectively, and the competitive endogenous RNA (ceRNA) regulatory network was visualized by the cytoscape software, and then selected by MCC scoring in the cytoHubba plugin Hub genes. In addition, this study conducted a case-control study in which blood samples were collected from stroke patients and healthy medical examiners to validate the core network of ceRNAs constructed by biosignature analysis by real-time fluorescence quantitative qRT-PCR experiments. Results: A total of 233 DEcircRNAs, 132 DEmiRNAs and 72 DEmRNAs were screened by bioinformatics analysis. circRNA-mediated ceRNA regulatory network was constructed, including 148 circRNAs, 43 miRNAs and 44 mRNAs. Finally, CLEC16A|miR-654-5p|RARA competitive endogenous regulatory axis was selected for validation by qRT-PCR, and the validation results were consistent with the bioinformatics analysis. Discussion: In conclusion, the present study establishes a new axis of regulation associated with IS, providing new insights into the pathogenesis of IS.
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Tertiary lymphoid structure (TLS) can predict the prognosis and sensitivity of tumors to immune checkpoint inhibitors (ICIs) therapy, whether it can be noninvasively predicted by radiomics in hepatocellular carcinoma with liver transplantation (HCC-LT) has not been explored. In this study, it is found that intra-tumoral TLS abundance is significantly correlated with recurrence-free survival (RFS) and overall survival (OS). Tumor tissues with TLS are characterized by inflammatory signatures and high infiltration of antitumor immune cells, while those without TLS exhibit uncontrolled cell cycle progression and activated mTOR signaling by bulk and single-cell RNA-seq analyses. The regulators involved in mTOR signaling (RHEB and LAMTOR4) and S-phase (RFC2, PSMC2, and ORC5) are highly expressed in HCC with low TLS. In addition, the largest cohort of HCC patients is studied with available radiomics data, and a classifier is built to detect the presence of TLS in a non-invasive manner. The classifier demonstrates remarkable performance in predicting intra-tumoral TLS abundance in both training and test sets, achieving areas under receiver operating characteristic curve (AUCs) of 92.9% and 90.2% respectively. In summary, the absence of intra-tumoral TLS abundance is associated with mTOR signaling activation and uncontrolled cell cycle progression in tumor cells, indicating unfavorable prognosis in HCC-LT.
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Carcinoma Hepatocelular , Neoplasias Hepáticas , Trasplante de Hígado , Transducción de Señal , Serina-Treonina Quinasas TOR , Estructuras Linfoides Terciarias , Humanos , Carcinoma Hepatocelular/genética , Carcinoma Hepatocelular/metabolismo , Carcinoma Hepatocelular/patología , Neoplasias Hepáticas/genética , Neoplasias Hepáticas/metabolismo , Neoplasias Hepáticas/patología , Serina-Treonina Quinasas TOR/metabolismo , Serina-Treonina Quinasas TOR/genética , Pronóstico , Masculino , Estudios Retrospectivos , Trasplante de Hígado/métodos , Persona de Mediana Edad , Femenino , Estructuras Linfoides Terciarias/genética , Transducción de Señal/genética , Adulto , Anciano , Análisis de SupervivenciaRESUMEN
Objectives: This study was aimed at analyzing the burden and trend of Alzheimer's disease and other dementias attributed to smoking (SADD) in the Belt and Road Initiative (BRI) countries during 1990-2019. Methods: Data from The 2019 Global Burden of Disease Study was used to extract information on the burden of SADD in terms of the numbers and age-standardized rate of mortality (ASMR) and disability-adjusted life years (ASDALR) in the BRI countries for 1990-2019. The average annual percent change (AAPC) was used to analyze the temporal trends of ASDALR from 1990 to 2019 and in the final decade by Joinpoint regression analysis. Results: The DALYs of SADD were the highest in China, India, and the Russian Federation in 1990 and in Lebanon, Montenegro and Bosnia, and Herzegovina in 2019. From 1990 to 2019, the ASDALR in China had increased from 55.50/105 to 66.18/105, but decreased from 2010 to 2019, while that of India had declined from 32.84/105 to 29.35/105, but increased from 2010 to 2019. The ASDALR showed the fastest increase in the Russian Federation, with AAPC of 1.97% (95% confidence interval [CI]: 1.77%, 2.16%), and the fastest decline in Sri Lanka, with AAPC of -2.69% (95% CI: 2.79%, -2.59%). ASMR and ASDALR from SADD showed a substantial decline during 1990-2019 both globally and in the different socio-demographic index (SDI) regions (all P < 0.05, except for the high-middle-SDI region). Compared to the rates in males, the AAPC in ASDALR of females was significantly greater in 20 countries(all P < 0.05). In the age group of 20-54 years, the DALYs rate showed a decreasing trend only in 13 members in the low-SDI region (all P < 0.05). Conclusion: Under the premise of eliminating the differences, mobilizing resources in the country itself, the BRI organization, and globally will help reduce the global SADD burden and achieve healthy and sustainable development.
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BACKGROUND: The pathway-based strategy has been recently proposed for identifying biomarkers with the advantages of higher biological interpretability and cross-data robustness than the conventional gene-based strategy. However, its utility in clinical applications has been limited due to the high computational complexity and ill-defined performance. OBJECTIVE: The current study presents a machine learning-based computational framework using multi-omics data for identifying a new modal of biomarkers, called pathway-derived core biomarkers, which have the advantages of both gene-based and pathway-based biomarkers. METHODS: Machine-learning methods and gene-pathway network were integrated to select the pathway-derived core biomarkers. Multiple machine-learning algorithms were used to construct and validate the diagnostic models of the biomarkers based on more than 1400 multi-omics clinical samples of esophageal squamous cell carcinoma (ESCC). RESULTS: The results showed that the classifier models based on the new modal biomarkers achieved superior performance in the training datasets with an average AUC/accuracy of 0.98/0.95 and 0.89/0.81 for mRNAs and miRNA, respectively, higher than the currently known classifier models based on the conventional gene-based strategy and pathway-based strategy. In the testing cohorts, the AUC/accuracy increased by 6.1 %/7.3 % than the models based on the native gene-based biomarkers. The improved performance was further confirmed in independent validation cohorts. Specifically, the sensitivity/specificity increased by â¼3 % and the variance significantly decreased by â¼69 % compared with that of the native gene-based biomarkers. Importantly, the pathway-derived core biomarkers also recovered 45 % more previously reported biomarkers than the gene-based biomarkers and are more functionally relevant to the ESCC etiology (involved in 14 versus 7 pathways related with ESCC or other cancer), highlighting the cross-data robustness of this new modal of biomarkers via enhanced functional relevance. CONCLUSIONS: The results demonstrated that the new modal of biomarkers not only have improved predicting performance and robustness, but also exhibit higher functional interpretability thus leading to the potential application in cancer diagnosis.
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BACKGROUND: Cognitive behavioral therapy (CBT) is a structured, short-term psychotherapy approach that may have positive effects in terms of relieving postoperative pain. The main objective of this study was to determine the effect of CBT on pain and joint function in patients after total joint arthroplasty. METHODS: We searched 3 electronic databases including randomized controlled studies (RCTs) using CBT as an intervention. The main results of this study were to determine pain intensity by NRS, VAS, WOMAC pain Scale, PCS, and joint function by HHS, OKS, EQ-5D, ROM. Data extraction and quality assessment of included RCTs were independently performed by the authors and date analysis was performed by RevMan V.5.4. RESULTS: Among the 605 studies, 9 RCTS were included in this systematic review and meta-analysis. The study showed that the difference between CBT and usual care groups in PCS (≤3months), NRS, VAS (≤3months) were statistically significant (P < 0.05); the difference between CBT and usual care groups in PCS (≥12months), WOMAC Pain Scale, and VAS (≥12months) were not statistically significant (P > 0.05), indicating that CBT can improve pain in patients after arthroplasty in the early term. In addition, the difference between CBT and usual care groups in OKS (≤3months), HSS, ROM (≤3months), EQ-5D (≤3months) were not statistically significant (P > 0.05); the difference between CBT and usual care groups in EQ-5D (≥12months) were statistically significant (P < 0.05), indicating that the quality of life in patients after total joint arthroplasty were improved with the extension of follow-up time. CONCLUSIONS: This study shows that CBT can relieve pain in patients with total joint arthroplasty in the early postoperative period and improve quality of life to some extent over time.
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Terapia Cognitivo-Conductual , Humanos , Ensayos Clínicos Controlados Aleatorios como Asunto , Dolor Postoperatorio/terapia , Calidad de Vida , ArtroplastiaRESUMEN
OBJECTIVES: This study aimed to develop the scoring functions for the recently developed value assessment framework (VAF) for China, which comprises 12 attributes. METHODS: We implemented a factorial survey among Chinese healthcare stakeholders from July to September 2022. A total of 240 hypothetical drug value profiles described by the VAF were grouped into 60 blocks and randomly assigned to respondents. Each respondent was assigned with 1 block, each presented in 3 disease scenarios of different levels of severity. For each profile, respondents were asked to assess the drug's value on a scale from 0 (lowest) to 10 (highest) and make 1 of the 3 insurance recommendations: cover, to be negotiated for coverage, or reject. Linear and logistic mixed-effects models were used to develop scoring functions for aggregating the value attributes. RESULTS: A total of 365 respondents participated in the survey. 3968 responses from 331 respondents were included in the analysis. Most of the included respondents were under 45 (n = 256, 77.3%), females (n = 208, 62.8%), living in urban areas (n = 296, 89.4%), and with a bachelor's degree or higher (n = 303, 91.5%). Health benefits and safety carried more weights than other attributes in the scoring functions across disease scenarios. The value and probability of entering negotiation or receiving insurance coverage for the attribute profiles for severe/critical disease were higher than for mild/moderate disease. CONCLUSIONS: The scoring functions of the VAF can be used to assess the value of a drug and its probability of entering negotiation or receiving insurance coverage in China.
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Atención a la Salud , Cobertura del Seguro , Femenino , Humanos , Encuestas y Cuestionarios , Probabilidad , ChinaRESUMEN
BACKGROUND: With the development of cancer precision medicine, a huge amount of high-dimensional cancer information has rapidly accumulated regarding gene alterations, diseases, therapeutic interventions and various annotations. The information is highly fragmented across multiple different sources, making it highly challenging to effectively utilize and exchange the information. Therefore, it is essential to create a resource platform containing well-aggregated, carefully mined, and easily accessible data for effective knowledge sharing. METHODS: In this study, we have developed "Consensus Cancer Core" (Tri©DB), a new integrative cancer precision medicine knowledgebase and reporting system by mining and harmonizing multifaceted cancer data sources, and presenting them in a centralized platform with enhanced functionalities for accessibility, annotation and analysis. RESULTS: The knowledgebase provides the currently most comprehensive information on cancer precision medicine covering more than 40 annotation entities, many of which are novel and have never been explored previously. Tri©DB offers several unique features: (i) harmonizing the cancer-related information from more than 30 data sources into one integrative platform for easy access; (ii) utilizing a variety of data analysis and graphical tools for enhanced user interaction with the high-dimensional data; (iii) containing a newly developed reporting system for automated annotation and therapy matching for external patient genomic data. Benchmark test indicated that Tri©DB is able to annotate 46% more treatments than two officially recognized resources, oncoKB and MCG. Tri©DB was further shown to have achieved 94.9% concordance with administered treatments in a real clinical trial. CONCLUSIONS: The novel features and rich functionalities of the new platform will facilitate full access to cancer precision medicine data in one single platform and accommodate the needs of a broad range of researchers not only in translational medicine, but also in basic biomedical research. We believe that it will help to promote knowledge sharing in cancer precision medicine. Tri©DB is freely available at www.biomeddb.org , and is hosted on a cutting-edge technology architecture supporting all major browsers and mobile handsets.
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Neoplasias , Medicina de Precisión , Humanos , Medicina de Precisión/métodos , Genómica/métodos , Neoplasias/genética , Neoplasias/terapia , Bases del ConocimientoRESUMEN
The characteristics of C:N:P stoichiometry, nonstructural carbohydrate (NSC) content, and C stable isotopes and their relationships affect plant responses to environmental changes and are critical to understanding the ecosystem carbon and water cycles. We investigated the water use strategies and physiological changes of two pioneer tree species (Pinus armandii and Pinus yunnanensis) in response to seasonal drought in subtropical China. The seasonal variation in needle δ13C values, C:N:P stoichiometry, and NSC contents of the two tree species were studied in 25-year-old plantation in central Yunnan Province. The needle δ13C values of both species were highest in summer. Soluble sugars, starch and NSC content of the two tree species decreased from spring to winter, while there was no significant difference in the seasonal variation of soluble sugars/starch in P. armandii needles, the maximum soluble sugars/starch in P. yunnanensis needles was in autumn. In addition, the C, N, and P contents of the needles and the C:N and C:P ratios of the two species showed different seasonal fluctuations, whereas the N:P ratio decreased with the season. The C:N:P stoichiometry and NSC content of the needles showed significant correlations, whereas the needle δ13C was weakly correlated with C:N:P stoichiometry and NSC content. Phenotypic plasticity analysis and principal component analysis revealed that the needle nutrient characteristics (NSC and P contents and N:P ratio) and needle δ13C values were critical indicators of physiological adaptation strategies of P. armandii and P. yunnanensis for coping with seasonal variation. These results increase our understanding of the water-use characteristics of the two pioneer tree species and the dynamic balance between the NSC, C, N, and P contents of the needles.
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We monitored CSF (cerebrospinal fluid) for Th1/Th2 inflammatory cytokines in a patient with unexplained postoperative disturbance of consciousness after craniotomy and found that the level of IL-6 (interleukin-6) concentrations was extremely high, meeting the traditional criteria for an inflammatory cytokine storm. Subsequently, the cerebrospinal fluid specimens of several patients were tested, and it was found that IL-6 levels were increased in different degrees after craniotomy. Previous studies have focused more on mild and long-term IL-6 elevation, but less on the effects of this short-term IL-6 inflammatory cytokine storm. Cerebrospinal fluid rich in IL-6 may play a significant role in patients after craniotomy. The objective is to explore the degree of IL-6 elevation and the incidence of IL-6 inflammatory cytokine storm in patients after craniotomy, as well as the effect of IL-6 elevation on the brain. In this study, the levels and clinical manifestations of inflammatory factors in cerebrospinal fluid after craniotomy were statistically classified, and the underlying mechanisms were discussed preliminarily. CSF specimens of patients after craniotomy were collected, IL-6 level was measured at 1, 5, and 10 days after operation, and cognitive function was analyzed at 1, 10, and 180 days after surgery. Craniotomy mouse model, cerebrospinal fluid of patients with the appearance of IL-6 storm after craniotomy, and IL-6 at the same concentration stimulation model were established. Behavioral tests, fluorescence in situ hybridization (FISH), pathological means, western blot, and ELISA (enzyme-linked immune-sorbent assay) were performed for verification. CSF from patients after craniotomy caused disturbance of consciousness in mice, affected neuronal damage in the hypothalamus, activation of microglia in the hypothalamus, and decreased expression of barrier proteins in the hypothalamus and brain. The large amount of interleukin-6 in CSF after craniotomy was found to be mainly derived from astrocytes. The IL-6 level in CSF after craniotomy correlated inversely with patients' performance in MoCA test. High levels of IL-6 in the cerebrospinal fluid derived from astrocytes after craniotomy may lead to disruption of the brain-cerebrospinal fluid barrier, most notably around the hypothalamus, which might result in inflammatory activation of microglia to damage the hypothalamic neurons and impaired cognitive function/more gradual cognitive repairment in patients after craniotomy with the appearance of IL-6 storm.
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BACKGROUND: This study aimed to determine the prognostic outcome of hip joint replacement after resection of proximal femoral tumors by reviewing original studies. METHODS: Two researchers independently searched PubMed, Embase, Cochrane Library, and Web of Science databases from inception to July 17, 2022. Then, the literature was screened by inclusion criteria. The basic information, primary outcomes, and secondary outcomes were extracted for weighted combined analysis. The quality of the included literature was evaluated using the Newcastle-Ottawa scale. RESULTS: Twenty-four retrospective cohort studies comprising 2081 patients were included. The limb salvage rate was 98%. The survival rates at 1, 2, 3, 4, and 5 years were 80, 72, 65, 64, and 55% for patients with primary tumors and the rate at 1, 2, 3, 4, and 5 years were 44, 25, 17, 14, and 11% for patients with bone metastases, respectively. CONCLUSION: As chemotherapy and radiotherapy treatment progressed, joint reconstruction after proximal femoral tumor resection improved patients' function and quality of life.
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Neoplasias Femorales , Prótesis Articulares , Humanos , Neoplasias Femorales/cirugía , Neoplasias Femorales/patología , Estudios Retrospectivos , Calidad de Vida , Fémur/patología , Resultado del TratamientoRESUMEN
BACKGROUND: Whether esophagogastric junction outflow obstruction (EGJOO) is a variant of achalasia cardia (AC) or an esophageal motility state of certain organic or systemic diseases remains controversial. We aimed to investigate the differences between EGJOO and AC in clinical characteristics and outcomes through a 4-year follow-up. METHODS: Patients diagnosed with primary EGJOO or AC were included. Based on the presence of concomitant disease, EGJOO patients were divided into a functional and an anatomical EGJOO group; similarly, patients with AC were divided into an AC with organic disease group and a true AC group. Disease characteristics and high-resolution manometry (HRM) parameters were retrospectively compared between the groups, and the development of organic diseases that could affect esophageal motility disorders and responses to treatment were examined during the follow-up. Symptom relief was defined as an Eckardt score of ≤3 after the treatment. RESULTS: The study included 79 AC patients and 70 EGJOO patients. Compared with patients with AC, EGJOO patients were older, had shorter disease duration, a lower Eckardt score, and were more likely to have concurrent adenocarcinoma of the esophagogastric junction (AEG) and autoimmune disease (p < 0.05 for all). The severity of dysphagia and Eckardt scores were higher in the anatomical EGJOO group than in the functional EGJOO group. Significant differences were seen in HRM parameters (UES residual pressure, LES basal pressure, and LES residual pressure) between AC and EGJOO patients. However, no significant differences in HRM parameters were observed between the functional EGJOO and anatomical EGJOO groups. Sixty-seven (95.71%) patients with EGJOO and sixty-nine (87.34%) patients with AC experienced symptom relief (p = 0.071). Among patients achieving symptom relief, a relatively large proportion of patients with EGJOO had symptom relief after medications (37/67, 55.22%), the resolution of potential reasons (7/67, 10.45%), and spontaneous relief (15/67, 22.39%), while more patients with AC had symptom relief after POEM (66/69, 95.65%). Among EGJOO patients achieving symptom relief, more patients (7/20, 35%) with anatomical EGJOO had symptom relief after the resolution of potential reasons for EGJOO, while more patients (32/47, 68.09%) with functional EGJOO had symptom relief with medications. CONCLUSIONS: Concurrent AEG and autoimmune diseases are more likely in EGJOO than in AC. A considerable part of EGJOO may be the early manifestation of an organic disease. Anatomical EGJOO patients experience symptom improvement with the resolution of primary diseases, while most functional EGJOO patients experience symptom relief with pharmacotherapy alone or even without any treatment.
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CONTEXT: CL-20/DNDAP cocrystal is a promising new type of explosive with exceptional energy density and detonation parameters. However, compared to TATB, FOX-7 and other insensitive explosives, it still has higher sensitivity. In order to decrease the sensitivity of CL20/DNDAP cocrystal explosive, in this article, a CL20/DNDAP cocrystal model was established, and six different types of polymers, including butadiene rubber (BR), ethylene-vinyl acetate copolymer (EVA), polyethylene glycol (PEG), hydroxyl-terminated polybutadiene (HTPB), fluoropolymer (F2603), and polyvinylidene difluoride (PVDF), were added to the three cleaved surfaces of (1 0 0), (0 1 0) and (0 0 1) to obtain polymer-bonded explosives (PBXs). Predict the effects of different polymers on the stability, trigger bond length, mechanical properties, and detonation performance of PBXs. Among the six PBX models, CL-20/DNDAP/PEG model exhibited the highest binding energy and the lowest trigger bond length, indicating that CL-20/DNDAP/PEG model had the best stability, compatibility, and the least sensitivity. Furthermore, although the CL-20/DNDAP/F2603 model demonstrated superior detonation capabilities, it should be noted that this model displayed low levels of compatibility. Overall, CL-20/DNDAP/PEG model exhibited the superior comprehensive properties, thereby demonstrating that PEG is a more suitable binder option for PBXs based on the CL20/DNDAP cocrystal. METHODS: The properties of CL-20/DNDAP cocrystal-based PBXs were predicted by molecular dynamics (MD) method under Materials Studio software. The MD simulation time step was set at 1fs and the total MD simulation time was 2ns. The Isothermal-isobaric (NPT) ensemble was used for the 2ns of MD simulation. The COMPASS force field was used, and the temperature was set at 295K.
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BACKGROUND AND AIMS: The validity of high uric acid levels as an independent cause of stroke remains controversial, and the association between its low concentration and stroke is unclear. This study determines how different serum uric acid (SUA) levels are associated with stroke risk. METHODS: This cross-sectional study used continuous National Health and Nutrition Examination Survey data in the United States during 1999-2020. The SUA levels of 6.0, 6.8, and 9.0 mg/dL were all considered as cut-off points. Restricted cubic spline interpolation and logistic regression models were used to evaluate the different associations. Subgroup analyses and sensitivity analyses were conducted to evaluate the influence of multiple factors on the outcomes. RESULTS: The study included 23,413 participants aged ≥ 20 years. A J-shaped curve existed between SUA and stroke risk, and the risk of stroke was positively correlated with SUA levels in the overall population. Subgroup analysis of all adults in the SUA 6.8-9.0 mg/dL group showed that stroke risk for non-Hispanic white, obese, ex-smoker, and heavy drinking groups was increased, but for the other Hispanic group was reduced. In the SUA < 6.0 mg/dL group, stroke risk for ex-smoker, heavy drinkers, and no chronic kidney disease groups was increased. CONCLUSION: Our findings indicate a J-shaped relationship between SUA levels and stroke risk. Low and high SUA levels increased stroke risk for different populations, except in the other Hispanic population. Early SUA management is highly significant for stroke prevention in high-risk populations.