Using artificial intelligence to predict adverse outcomes in emergency department patients with hyperglycemic crises in real time.

BACKGROUND: Hyperglycemic crises are associated with high morbidity and mortality. Previous studies have proposed methods to predict adverse outcomes of patients in hyperglycemic crises; however, artificial intelligence (AI) has never been used to predict adverse outcomes. We implemented an AI model integrated with the hospital information system (HIS) to clarify whether AI could predict adverse outcomes. METHODS: We included 2,666 patients with hyperglycemic crises from emergency departments (ED) between 2009 and 2018. The patients were randomized into a 70%/30% split for AI model training and testing. Twenty-two feature variables from the electronic medical records were collected. The performance of the multilayer perceptron (MLP), logistic regression, random forest, Light Gradient Boosting Machine (LightGBM), support vector machine (SVM), and K-nearest neighbor (KNN) algorithms was compared. We selected the best algorithm to construct an AI model to predict sepsis or septic shock, intensive care unit (ICU) admission, and all-cause mortality within 1 month. The outcomes between the non-AI and AI groups were compared after implementing the HIS and predicting the hyperglycemic crisis death (PHD) score. RESULTS: The MLP had the best performance in predicting the three adverse outcomes, compared with the random forest, logistic regression, SVM, KNN, and LightGBM models. The areas under the curves (AUCs) using the MLP model were 0.852 for sepsis or septic shock, 0.743 for ICU admission, and 0.796 for all-cause mortality. Furthermore, we integrated the AI predictive model with the HIS to assist decision making in real time. No significant differences in ICU admission or all-cause mortality were detected between the non-AI and AI groups. The AI model performed better than the PHD score for predicting all-cause mortality (AUC 0.796 vs. 0.693). CONCLUSIONS: A real-time AI predictive model is a promising method for predicting adverse outcomes in ED patients with hyperglycemic crises. Further studies recruiting more patients are warranted.

Cyclic Stretching Triggers Cell Orientation and Extracellular Matrix Remodeling in a Periodontal Ligament 3D In Vitro Model.

During orthodontic tooth movement (OTM), the periodontal ligament (PDL) plays a crucial role in regulating the tissue remodeling process. To decipher the cellular and molecular mechanisms underlying this process in vitro, suitable 3D models are needed that more closely approximate the situation in vivo. Here, a customized bioreactor is developed that allows dynamic loading of PDL-derived fibroblasts (PDLF). A collagen-based hydrogel mixture is optimized to maintain structural integrity and constant cell growth during stretching. Numerical simulations show a uniform stress distribution in the hydrogel construct under stretching. Compared to static conditions, controlled cyclic stretching results in directional alignment of collagen fibers and enhances proliferation and spreading ability of the embedded PDLF cells. Effective force transmission to the embedded cells is demonstrated by a more than threefold increase in Periostin protein expression. The cyclic stretch conditions also promote extensive remodeling of the extracellular matrix, as confirmed by increased glycosaminoglycan production. These results highlight the importance of dynamic loading over an extended period of time to determine the behavior of PDLF and to identify in vitro mechanobiological cues triggered during OTM-like stimulus. The introduced dynamic bioreactor is therefore a useful in vitro tool to study these mechanisms.

National situation, trends, and predictions of disease burden of atopic dermatitis in Chinese children and adolescents.

Background: Atopic dermatitis (AD) is an important global health problem affecting children and adolescents and detailed national information of disease burden in China is lacking. We aimed to evaluate the national disease burden of AD in Chinese children and adolescent, to provide the temporal trends over the past 30 years and to predict the burden for the next 10 years. Methods: The data of AD in China, including incidence, prevalence, and DALY, and population data were obtained from the Global Burden of Disease Study 2019 (GBD study 2019), which were estimated using the DisMod-MR 2.1. We analyzed the three measures by age and sex; the age groups were <5 years, 5-9 years, 10-14 years, and 15-19 years. The joinpoint regression analyses was conducted to assess the temporal trends from 1990 to 2019. The Bayesian age-period cohort (BAPC) model was used to predict measures from 2020 to 2030. Results: In 2019, the highest incidence case and rate were observed in <5 years group; for prevalence and disability adjusted life year (DALY), the groups of <5 years and 5-9 years showed similar higher levels and the groups of 10-14 years and 15-19 years had similar relatively lower levels. Overall, the male-to-female ratios were >1 in <5 years group and <1 in 10-14 and 15-19 age groups. The trend analyses found an overall trend of decrease in cases of the three measures; in recent about 3 years, slight increase trends were shown in cases and rates of the three measures in <5 years group. The prediction analyses found a slight decreasing trend for cases of these measures and a slight increasing trend for rates of these measures in the <5 years group in the next 10 years; the 5-9 years group was predicted to increase slightly in rates of the three measures. Conclusion: In conclusion, the groups of <5 years and 5-9 years are two important populations that need targeted measures to reduce disease burden of AD in China. Regarding sex disparity, we should pay more attention to males in <5 years group and to females in 10-19 years group.

External validation of geriatric influenza death score: A multicenter study.

The Geriatric Influenza Death (GID) score was developed to help decision making in older patients with influenza in the emergency department (ED), but external validation is unavailable. Thus, we conducted a study was to fill the data gap. We recruited all older patients (≥65 years) who visited the ED of three hospitals between 2009 and 2018. Demographic data and clinical characteristics were retrospectively collected. Discrimination, goodness of fit, and performance of the GID score were evaluated. Of the 5,508 patients (121 died) with influenza, the mean age was 76.6±7.4 (standard deviation) years, and 49.3% were males. The GID score was higher in the mortality group (1.7±1.1 vs. 0.8±0.8, p <0.01). With 0 as the reference, the odds ratio for morality with score of 1, 2 and ≥3 was 3.08 (95% confidence interval [CI]: 1.66-5.71), 6.69 (95% CI: 3.52-12.71), and 23.68 (95% CI: 11.95-46.93), respectively. The area under the curve was 0.722 (95% CI: 0.677-0.766), and the Hosmer-Lemeshow goodness of fit test was 1.000. The GID score had excellent negative predictive values with different cut-offs. The GID score had good external validity, and further studies are warranted for wider application.

Short- and long-term recurrence of early-stage invasive ductal carcinoma in middle-aged and old women with different treatments.

Most new cases and the highest mortality rates of breast cancer occur among middle-aged and old women. The recurrence rate of early-stage invasive ductal carcinoma (IDC) among women aged ≥ 50 years and receiving different treatments remains unclear. Therefore, this study was conducted to determine these rates. We used Surveillance, Epidemiology, and End Results (SEER) data for this nationwide population-based cohort study. All women aged ≥ 50 years and diagnosed with early-stage IDC between 2000 and 2015 were identified and divided into three treatment groups, namely, breast conservation therapy (BCT), mastectomy alone (MAS), and mastectomy with radiation therapy (MAS + RT). The recurrence rates of IDC among these groups were then compared. The BCT group had a lower short-term recurrence risk than the MAS and MAS + RT groups (hazard ratio [HR]: 1.00 vs. 2.90 [95% CI 1.36-2.66] vs. 2.07 [95% CI 0.97-4.44]); however, the BCT group also had a higher long-term recurrence risk than MAS and MAS + RT groups (HR 1.00 vs. 0.30 [95% CI 0.26-0.35] vs. 0.43 [95% CI 0.30-0.63]). The high long-term recurrence rate of the BCT group was especially prominent at the 10- and 15-year follow-ups. The results provide valuable evidence of the most reliable treatment strategy for this population. Further studies including more variables and validation in other countries are warranted to confirm our findings.

Associations between dietary patterns and stages of chronic kidney disease.

BACKGROUND: Studies have revealed that patients with chronic kidney disease (CKD) have dietary patterns different from those of the general population. However, no studies have compared the dietary patterns of between patients with early-stages (stages 1-3a) and late-stages (stages 3b-5) of CKD. Our objective was to investigate the associations between dietary patterns in early and late-stage CKD. METHODS: We analyzed 4480 participants with CKD at various stages based on the data recorded between 2007 and 2016 from the database of the American National Health and Nutrition Examination Survey. RESULTS: In total, 3683 and 797 participants had early and late-stage CKD, respectively. Through principal components analysis, the dietary intake dimension was reduced from 63 variables to 3 dietary patterns. We adopted logistic regression for analysis. The three dietary patterns are as follows: (1) saturated fatty acids and mono-unsaturated fatty acids (MUFA); (2) vitamins and minerals; and (3) cholesterols and polyunsaturated fatty acids (PUFA). These 3 patterns explained > 50% of dietary nutrient intake. Results indicated that among participants with dietary patterns 2 (vitamins and minerals) and 3 (cholesterols and PUFA), those with low intakes were more likely to have late-stage CKD. The odds ratios for patterns 2 and 3 were 1.74 (95% CI: 1.21-2.50) and 1.66 (95% CI: 1.13-2.43), respectively. CONCLUSIONS: This study revealed that intakes of vitamins and minerals and cholesterols and PUFA were associated with the stages of CKD.

Effect of treatments on skin microbiota in patients with atopic dermatitis: a protocol for systematic review.

INTRODUCTION: Atopic dermatitis (AD) is a chronic inflammatory skin disease and skin microbiota dysbiosis shows an important role in the pathogenesis of AD. Effects of treatment on skin microbiota for patients with AD have been evaluated in recent years; however, the results remained controversial across studies. This systematic review will summarise studies evaluating the effect of treatments on skin microbiota among patients with AD. METHODS AND ANALYSIS: We will search PubMed, EMBASE, Web of Science, ClinicalTrials.gov and Chinese Clinical Trial Registry in November 2021; other data sources will also be considered, including searching specific authors and screening references cited in the enrolled articles. Interventional studies, which enrolled patients with AD receiving treatments and reported treatment-related skin microbiota changes, will be included. Our primary outcomes include skin microbiota diversity and treatment-related differential microbes; the secondary outcomes include microbiota functions and microbial interactions. Risk of bias assessment will be performed using Cochrane risk-of-bias tool for randomised trials, risk of bias in non-randomised studies of interventions and methodological index for non-randomised studies. Two researchers will independently perform study selection, data extraction and risk of bias assessment, with disagreements resolved by group discussions. Subgroup analyses will be performed according to different types of treatment for AD. ETHICS AND DISSEMINATION: Ethics approval is not required for this systematic review. Findings will be disseminated via peer-reviewed publication or conference proceedings. PROSPERO REGISTRATION NUMBER: CRD42021246566.

Real-time interactive artificial intelligence of things-based prediction for adverse outcomes in adult patients with pneumonia in the emergency department.

BACKGROUND: Artificial intelligence of things (AIoT) may be a solution for predicting adverse outcomes in emergency department (ED) patients with pneumonia; however, this issue remains unclear. Therefore, we conducted this study to clarify it. METHODS: We identified 52,626 adult ED patients with pneumonia from three hospitals between 2010 and 2019 for this study. Thirty-three feature variables from electronic medical records were used to construct an artificial intelligence (AI) model to predict sepsis or septic shock, respiratory failure, and mortality. After comparisons of the predictive accuracies among logistic regression, random forest, support-vector machine (SVM), light gradient boosting machine (LightGBM), multilayer perceptron (MLP), and eXtreme Gradient Boosting (XGBoost), we selected the best one to build the model. We further combined the AI model with the Internet of things as AIoT, added an interactive mode, and implemented it in the hospital information system to assist clinicians with decision making in real time. We also compared the AIoT-based model with the confusion-urea-respiratory rate-blood pressure-65 (CURB-65) and pneumonia severity index (PSI) for predicting mortality. RESULTS: The best AI algorithms were random forest for sepsis or septic shock (area under the curve [AUC] = 0.781), LightGBM for respiratory failure (AUC = 0.847), and mortality (AUC = 0.835). The AIoT-based model represented better performance than CURB-65 and PSI indicators for predicting mortality (0.835 vs. 0.681 and 0.835 vs. 0.728). CONCLUSIONS: A real-time interactive AIoT-based model might be a better tool for predicting adverse outcomes in ED patients with pneumonia. Further validation in other populations is warranted.

Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain.

BACKGROUND: A big-data-driven and artificial intelligence (AI) with machine learning (ML) approach has never been integrated with the hospital information system (HIS) for predicting major adverse cardiac events (MACE) in patients with chest pain in the emergency department (ED). Therefore, we conducted the present study to clarify it. METHODS: In total, 85,254 ED patients with chest pain in three hospitals between 2009 and 2018 were identified. We randomized the patients into a 70%/30% split for ML model training and testing. We used 14 clinical variables from their electronic health records to construct a random forest model with the synthetic minority oversampling technique preprocessing algorithm to predict acute myocardial infarction (AMI) < 1 month and all-cause mortality < 1 month. Comparisons of the predictive accuracies among random forest, logistic regression, support-vector clustering (SVC), and K-nearest neighbor (KNN) models were also performed. RESULTS: Predicting MACE using the random forest model produced areas under the curves (AUC) of 0.915 for AMI < 1 month and 0.999 for all-cause mortality < 1 month. The random forest model had better predictive accuracy than logistic regression, SVC, and KNN. We further integrated the AI prediction model with the HIS to assist physicians with decision-making in real time. Validation of the AI prediction model by new patients showed AUCs of 0.907 for AMI < 1 month and 0.888 for all-cause mortality < 1 month. CONCLUSIONS: An AI real-time prediction model is a promising method for assisting physicians in predicting MACE in ED patients with chest pain. Further studies to evaluate the impact on clinical practice are warranted.

Efficacy of Pulsed Radiofrequency in Herpetic Neuralgia: A Meta-Analysis of Randomized Controlled Trials.

OBJECTIVES: Herpes zoster and postherpetic neuralgia (PHN) are often refractory to current standard treatments and can reduce patients' quality of life (QoL). Pulsed radiofrequency (PRF) effectively controls intractable neurological pain. The aim of the study was to conduct a systematic review and meta-analysis to evaluate the efficacy of PRF in PHN management. MATERIALS AND METHODS: We searched PubMed, Embase, and Cochrane Library for randomized controlled trials (RCTs) published up to October 2019. The primary outcomes were pain levels and rescue analgesia at different postintervention time intervals. The secondary outcomes were QoL and sleep quality. RESULTS: We reviewed 6 RCTs involving 420 patients. The meta-analysis revealed that the PRF group exhibited significantly lower pain scores in PHN than did the control group at 2 to 3 days (weighted mean differences [WMD]=-2.82; 95% confidence interval [CI]: -5.08 to -0.55), 1 week (WMD=-2.95; 95% CI: -4.53 to -1.37), 2 weeks (WMD=-3.17; 95% CI: -4.11 to -2.23), 4 weeks (WMD=-2.59; 95% CI: -3.40 to -1.79), 8 weeks (WMD=-3.02; 95% CI: -4.17 to -1.88), and 6 months (WMD=-1.94; 95% CI: -2.85 to -1.03). After intervention, QoL was significantly higher in the PRF group than in the control group. No major complications were reported. DISCUSSION: PRF safely and effectively reduced pain scores and improved QoL in patients with herpes zoster in the cervical to lumbosacral areas. PRF could be considered during refractory PHN treatment. Future studies require standardized PRF settings and outcome assessment tools, including physical and emotional function assessments.

CRM197-Coupled Der p 2 Peptides Suppress Allergic Airway Inflammation in a Der p 2-Induced Asthma Mouse Model.

Allergic diseases affect more than 25% of the global population. Der p 2 is the major allergen of the house dust mite (HDM) Dermatophagoides pteronyssinus. Allergen-specific immunotherapy is the only treatment to change the course of allergic diseases. In this study, two synthesized Der p 2 peptides coupled to cross-reacting material 197 (CRM197) showed reduced IgE reactivity and allergenic activity. CRM197-coupled Der p 2 peptides induced rDer p 2-specific IgG1 antibodies in mice, which could inhibit HDM-allergic patients' IgE binding to rDer p 2. The immunity effects of CRM197-coupled Der p 2 peptides were studied in an rDer p 2-induced asthma mouse model. CRM197-coupled Der p 2 peptides can suppress asthmatic airway inflammation in this model. Analysis of IL-4, IL-5, and IFN-γ levels in bronchoalveolar lavage fluid revealed that the suppression was associated with a shift from a Th2 to a Th1 response. Thus, CRM197-bound Der p 2 peptides exhibited less allergenic activity than the rDer p 2 allergen, which preserved immunogenicity and may be candidates for mite allergy vaccines.

Synthesis and Photocatalytic Properties of CuO-CuS Core-Shell Nanowires.

In this study, an efficient method to synthesize CuO-CuS core-shell nanowires by two-step annealing process was reported. CuO nanowires were prepared on copper foil via thermal oxidation in a three-zone horizontal tube furnace. To obtain larger surface area for photocatalytic applications, we varied four processing parameters, finding that growth at 550 °C for 3 h with 16 °C/min of the ramping rate under air condition led to CuO nanowires of appropriate aspect ratio and number density. The second step, sulfurization process, was conducted to synthesize CuO-CuS core-shell nanowires by annealing with sulfur powder at 250 °C for 30 min under lower pressure. High-resolution transmission electron microscopy studies show that a 10 nm thick CuS shell formed and the growth mechanism of the nanowire heterostructure has been proposed. With BET, the surface area was measured to be 135.24 m²·g-1. The photocatalytic properties were evaluated by the degradation of methylene blue (MB) under visible light irradiation. As we compared CuO-CuS core-shell nanowires with CuO nanowires, the 4-hour degradation rate was enhanced from 67% to 89%. This could be attributed to more effective separation of photoinduced electron and hole pairs in the CuO-CuS heterostructure. The results demonstrated CuO-CuS core-shell nanowires as a promising photocatalyst for dye degradation in polluted water.

Does Surgery Reduce the Risk of Complications Among Patients with Multiple Rib Fractures? A Meta-analysis.

BACKGROUND: Multiple rib fractures are common in trauma patients, who are prone to trauma-associated complications. Surgical or nonsurgical interventions for the aforementioned conditions remain controversial. QUESTIONS/PURPOSES: The purpose of our study was to perform a meta-analysis to evaluate the clinical prognosis of surgical fixation of multiple rib fractures in terms of (1) hospital-related endpoints (including duration of mechanical ventilation, ICU length of stay [LOS] and hospital LOS), (2) complications, (3) pulmonary function, and (4) pain scores. METHODS: We screened PubMed, Embase, and Cochrane databases for randomized and prospective studies published before January 2018. Individual effect sizes were standardized; the pooled effect size was calculated using a random-effects model. Primary outcomes were duration of mechanical ventilation, intensive care unit length of stay (ICU LOS), and hospital LOS. Moreover, complications, pulmonary function, and pain were assessed. RESULTS: The surgical group had a reduced duration of mechanical ventilation (weighted mean difference [WMD], -4.95 days; 95% confidence interval [CI], -7.97 to -1.94; p = 0.001), ICU LOS (WMD, -4.81 days; 95% CI, -6.22 to -3.39; p < 0.001), and hospital LOS (WMD, -8.26 days; 95% CI, -11.73 to -4.79; p < 0.001) compared with the nonsurgical group. Complications likewise were less common in the surgical group, including pneumonia (odds ratio [OR], 0.41; 95% CI, 0.27-0.64; p < 0.001), mortality (OR, 0.24; 95% CI, 0.07-0.87; p = 0.030), chest wall deformity (OR, 0.02; 95% CI. 0.00-0.12; p < 0.001), dyspnea (OR, 0.23; 95% CI, 0.09-0.54; p < 0.001), chest wall tightness (OR, 0.11; 95% CI, 0.05-0.22; p < 0.001) and incidence of tracheostomy (OR, 0.34; 95% CI, 0.20-0.57; p < 0.001). There were no differences between the surgical and nonsurgical groups in terms of pulmonary function, such as forced vital capacity (WMD, 6.81%; 95% CI: -8.86 to 22.48; p = 0.390) and pain scores (WMD, -11.41; 95% CI: -42.09 to 19.26; p = 0.470). CONCLUSIONS: This meta-analysis lends stronger support to surgical fixation, rather than conservative treatment, for multiple rib fractures. Nevertheless, additional trials should be conducted to investigate surgical indications, timing, and followup for quality of life. LEVEL OF EVIDENCE: Level I, therapeutic study.

Association of hyperglycemic crisis with an increased risk of end-stage renal disease: A nationwide population-based cohort study.

BACKGROUND: A hyperglycemic crisis episode (HCE) is associated with poor management of diabetes, which is a risk factor for end-stage renal disease (ESRD); however, the association between an HCE and ESRD has not been clarified. We conducted a nationwide population-based cohort study with the purpose of delineating this issue. METHODS: We identified 9208 diabetic patients with an HCE and an identical number of diabetic patients with matched age, sex, and index date without an HCE between 2000 and 2002. A comparison of the risk of ESRD between the diabetic patients with and without an HCE was achieved by a follow-up until 2014. RESULTS: A Cox proportional hazard regression analysis showed that the diabetic patients with an HCE were at a higher risk of ESRD than those without an HCE (the adjusted hazard ratio [AHR]: 1.47; 95% confidence interval [CI]: 1.34-1.62) by adjusting for renal disease, hypertension, hyperlipidemia, coronary artery disease, hyperuricemia, anemia, chronic obstructive pulmonary disease, liver disease, malignancy, connective tissue disease, non-steroid anti-inflammatory drug use, and monthly income. The increased risk of ESRD was more prominent in the age subgroup of 15-25 years (AHR: 4.91; 95% CI: 1.92-12.56); 25-35 years (AHR: 2.42; 95% CI: 1.51-3.86); 35-45 years (AHR: 3.01; 95% CI: 2.21-4.09); and 45-55 years (AHR: 1.75; 95% CI: 1.41-2.19). CONCLUSIONS: An HCE was associated with an increased risk of ESRD, especially in the younger diabetic patients (15-55 years). A close follow-up for the control of diabetes and for monitoring renal function is proposed.

Fluid Resuscitation in Patients With Severe Burns: A Meta-analysis of Randomized Controlled Trials.

OBJECTIVES: Fluid resuscitation is the mainstay treatment to reconstitute intravascular volume and maintain end-organ perfusion in patients with severe burns. The use of a hyperosmotic or isoosmotic solution in fluid resuscitation to manage myocardial depression and increased capillary permeability during burn shock has been debated. We conducted a systematic review and meta-analysis to compare the efficacies of hyperosmotic and isoosmotic solutions in restoring hemodynamic stability after burn injuries. METHODS: PubMed, Embase, Cochrane Library, Scopus, and ClinicalTrials.gov registry were searched. Randomized control trials evaluating the efficacy and safety of hyperosmotic and isoosmotic fluid resuscitation in patients with burn injuries were selected. Eligible trials were abstracted and assessed for the risk of bias by two reviewers and results of hemodynamic indicators in the included trials were analyzed. RESULTS: Ten trials including 502 participants were published between 1983 and 2013. Compared with isoosmotic group, the hyperosmotic group exhibited a significant decrease in the fluid load (vol/% total body surface area [TBSA]/weight) at 24 hours postinjury, with a mean difference of -0.54 (95% confidence interval = -0.92 to -0.17). No differences were observed in the urine output, creatinine level, and mortality at 24 hours postinjury between groups. CONCLUSIONS: Hyperosmotic fluid resuscitation appears to be an attractive choice for severe burns in terms of TBSA or burn depth. Further investigation is recommended before conclusive recommendation.

An efficient reversible privacy-preserving data mining technology over data streams.

With the popularity of smart handheld devices and the emergence of cloud computing, users and companies can save various data, which may contain private data, to the cloud. Topics relating to data security have therefore received much attention. This study focuses on data stream environments and uses the concept of a sliding window to design a reversible privacy-preserving technology to process continuous data in real time, known as a continuous reversible privacy-preserving (CRP) algorithm. Data with CRP algorithm protection can be accurately recovered through a data recovery process. In addition, by using an embedded watermark, the integrity of the data can be verified. The results from the experiments show that, compared to existing algorithms, CRP is better at preserving knowledge and is more effective in terms of reducing information loss and privacy disclosure risk. In addition, it takes far less time for CRP to process continuous data than existing algorithms. As a result, CRP is confirmed as suitable for data stream environments and fulfills the requirements of being lightweight and energy-efficient for smart handheld devices.

Mechanisms of Low-Temperature Nitridation Technology on a TaN Thin Film Resistor for Temperature Sensor Applications.

In this letter, we propose a novel low-temperature nitridation technology on a tantalum nitride (TaN) thin film resistor (TFR) through supercritical carbon dioxide (SCCO2) treatment for temperature sensor applications. We also found that the sensitivity of temperature of the TaN TFR was improved about 10.2 %, which can be demonstrated from measurement of temperature coefficient of resistance (TCR). In order to understand the mechanism of SCCO2 nitridation on the TaN TFR, the carrier conduction mechanism of the device was analyzed through current fitting. The current conduction mechanism of the TaN TFR changes from hopping to a Schottky emission after the low-temperature SCCO2 nitridation treatment. A model of vacancy passivation in TaN grains with nitrogen and by SCCO2 nitridation treatment is eventually proposed to increase the isolation ability in TaN TFR, which causes the transfer of current conduction mechanisms.

Genome-Wide Analysis of Gene Regulatory Networks of the FVE-HDA6-FLD Complex in Arabidopsis.

FVE/MSI4 is a homolog of the mammalian RbAp48 protein. We found that FVE regulates flowering time by repressing FLC through decreasing histone H3K4 trimethylation and H3 acetylation. Furthermore, FVE interacts with the histone deacetylase HDA6 and the histone demethylase FLD, suggesting that these proteins may form a protein complex to regulate flowering time. To further investigate the function of the FVE-FLD-HDA6 complex, we compared the gene expression profiles of fve, fld, and hda6 mutant plants by using RNA-seq analysis. Among the mis-regulated genes found in fve plants, 51.8 and 36.5% of them were also mis-regulated in fld and hda6 plants, respectively, suggesting that FVE, HDA6, and FLD may regulate the gene expression in the same developmental processes in Arabidopsis. Gene ontology analysis revealed that among 383 genes co-regulated by FVE, HDA6, and FLD, 15.6% of them are involved in transcription, 8.2% in RNA metabolic process, 7.7% in response to abiotic stress, and 6.3% in hormone stimulus. Taken together, these results indicate that HDA6, FVE, and FLD co-regulate the gene expression in multiple development processes and pathways.

Subsequent mortality after hyperglycemic crisis episode in the non-elderly: a national population-based cohort study.

Hyperglycemic crisis episodes (HCEs)-diabetic ketoacidosis and the hyperosmolar hyperglycemic state-are the most serious acute metabolic complications of diabetes. We aimed to investigate the subsequent mortality after HCE in the non-elderly diabetic which is still unclear. This retrospective national population-based cohort study reviewed, in Taiwan's National Health Insurance Research Database, data from 23,079 non-elder patients (≤65 years) with new-onset diabetes between 2000 and 2002: 7693 patients with HCE and 15,386 patients without HCE (1:2). Both groups were compared, and follow-up prognoses were done until 2011. One thousand eighty-five (14.1%) patients with HCE and 725 (4.71%) patients without HCE died (P < 0.0001) during follow-up. Incidence rate ratios (IRR) of mortality were 3.24 times higher in patients with HCE than in patients without HCE (P < 0.0001). Individual analysis of diabetic ketoacidosis and hyperosmolar hyperglycemic state also showed the similar result with combination of both. After stratification by age, mortality was significant higher in the middle age (40-64 years) [IRR 3.29; 95% confidence interval (CI) 2.98-3.64] and young adult (18-39 years) (IRR 3.91; 95% CI 3.28-4.66), but not in the pediatric subgroup (<18 years) (IRR 1.28; 95% CI 0.21-7.64). The mortality risk was highest in the first month (IRR 54.43; 95% CI 27.98-105.89), and still high after 8 years (IRR 2.05; 95% CI 1.55-2.71). After adjusting for age, gender, and selected comorbidities, the mortality hazard ratio for patients with HCE was still four times higher than for patients without HCE. Moreover, older age, male gender, stroke, cancer, chronic obstructive pulmonary disease, congestive heart failure, and liver disease were independent mortality predictors. HCE significantly increases the subsequent mortality risk in the non-elderly with diabetes. Strategies for prevention and control of comorbidities are needed as soon as possible.