Nonlinear relationship between oxidative balance score and hyperuricemia: analyses of NHANES 2007-2018.

BACKGROUND: Limited data regarding the correlation between oxidative balance score (OBS) and hyperuricemia highlights the necessity for thorough investigations. This study aims to examine the link between OBS, which incorporates dietary and lifestyle factors, and the occurrence of hyperuricemia. METHODS: We conducted a cross-sectional study involving 13,636 participants from the 2007-2018 National Health and Nutrition Examination Survey (NHANES). The oxidative balance score (OBS) was determined based on four lifestyle factors and sixteen dietary nutrients. We assessed the levels of serum uric acid (SUA) and the occurrence of hyperuricemia as outcomes. Weighted logistic regression and linear models were used for statistical analysis, using Restricted Cubic Splines (RCS) to examine potential nonlinear associations. Subgroup analysis and sensitivity assessments were performed to identify any variations and ensure the robustness of the findings. RESULTS: Higher OBS was consistently correlated with decreased SUA levels and a reduced prevalence of hyperuricemia. RCS highlighted a significant negative nonlinear association, particularly in females. Subgroup analysis revealed gender-based differences and interactive correlation, providing additional insights regarding OBS and hyperuricemia relationship. CONCLUSION: This study underscores a robust negative correlation between OBS and SUA levels as well as the incidence of hyperuricemia, emphasizing the importance of dietary and lifestyle factors. Incorporating RCS, subgroup analysis, and sensitivity assessments enhances the depth of our findings, providing valuable insights for further research.

Metformin improves diabetic neuropathy by reducing inflammation through up-regulating the expression of miR-146a and suppressing oxidative stress.

PURPOSE: Diabetic neuropathy (DN) is a notable complication of diabetes mellitus. The potential involvement of miR-146a in DN regulation is presently under investigation. Metformin, a commonly prescribed medication for diabetes, is the primary therapeutic intervention. This study aimed to unveil the potential protective effects of metformin on diabetic neuropathy and explore the mechanisms underlying its action. METHOD: Six-weeks male Sprague Dawley rats (n = 40) were randomly divided into 5 groups. The rat model of diabetic neuropathy (DN) was established by administering streptozotocin (STZ). To investigate the effects on the sciatic nerve and resident Schwann cells (RSCs), metformin and miR-146a mimics were administered, and our research explored the potential underlying mechanism. RESULT: The sciatic nerve samples obtained from diabetic rats exhibited noticeable morphological damage, accompanied by decreased miR-146a expression (2.61 ± 0.11 vs 5.0 ± 0.3, p < 0.01) and increased inflammation levels (p65: 1.89 ± 0.04 vs 0.82 ± 0.05, p < 0.01; TNF-α: 0.93 ± 0.03 vs 0.33 ± 0.03, p < 0.01). Notably, the administration of metformin effectively ameliorated the structural alterations in the sciatic nerve by suppressing the inflammatory pathway (p65: 1.15 ± 0.05 vs 1.89 ± 0.04, p < 0.01; TNF-α: 0.67 ± 0.04 vs 0.93 ± 0.03, p < 0.01) and reducing oxidative stress (NO: 0.062 ± 0.004 vs 0.154 ± 0.004umol/mg, p < 0.01; SOD: 3.08 ± 0.09 vs 2.46 ± 0.09 U/mg, p < 0.01). The miR-146a mimics intervention group exhibited comparable findings. CONCLUSION: This study's findings implied that metformin can potentially mitigate diabetic neuropathy in rats through the modulation of miR-146a expression.

Pd@Pt Core-Shell Nanocrystal-Decorated ZnO Nanosheets for ppt-Level NO2 Detection.

Bimetallic nanocrystals (NCs) have obtained significant attention due to their unique advantages of the intrinsic properties of individual metals and synergistic enhancements resulting from the electronic coupling between two constituent metals. In this work, Pd@Pt core-shell NCs were prepared through a facile one-pot solution-phase method, which had excellent dispersion and uniform size. Concurrently, ZnO nanosheets were prepared via a hydrothermal method. To explore their potential in nitrogen dioxide (NO2) gas sensing applications, sensitive materials based on ZnO nanosheets with varying mass percentages of Pd@Pt NCs were generated through an impregnation process. The sensor based on 0.3 wt % Pd@Pt-ZnO exhibited remarkable performance, demonstrating a substantial response (Rg/Ra = 60.3) to 50 ppb of NO2 at a low operating temperature of 80 °C. Notably, this sensor reached an outstanding low detection limit of 300 ppt. The enhancement in gas sensing capabilities can be attributed to the sensitization and synergistic effects imparted by the exceptional catalytic activity of Pd@Pt NCs, which significantly promoted the reaction. This research introduces a novel approach for the utilization of core-shell structured bimetallic nanocrystals as modifiers in metal-oxide-semiconductor (MOS) materials for NO2 detection.

Association of thyroid hormone sensitivity index with stroke in patients with coronary artery disease.

BACKGROUND AND AIMS: Thyroid hormones (THs) will affect the occurrence and prognosis of stroke, and the research on THs sensitivity index and stroke in patients with coronary heart disease (CHD) is scarce. The goal of this study is to look into the relationship between central and peripheral THs sensitivity index and stroke in patients with CHD. METHODS: Between January 1, 2014, and September 30, 2020, 30,160 patients with CHD were enrolled in this study. By computing the thyroid feedback quantile index (TFQI), thyroid stimulating hormone index (TSHI), and thyrotropin thyroxine resistance index (TT4RI), the central sensitivity indexes to THs was assessed, and the ratio of serum free triiodothyronine (FT3) to serum free thyroxine (FT4) was used to assess peripheral THs sensitivity. The relationship between central and peripheral THs sensitivity index and stroke was investigated using logistic regression, especially in different types of stroke, ages, sexes, and blood glucose levels. RESULTS: Stroke risk is positive associated with TSHI, TFQI, and PTFQI. In subgroup analysis, the OR values of these relationships are higher in people younger than 65 years old, male, and diagnosed with diabetes. In addition, stroke risk was negatively associated with FT3/FT4, and the OR values of these relationships were lower in people older than 65 years, female, and diagnosed with prediabetes. CONCLUSIONS: This study demonstrates that the increase in the central THs sensitivity index and the decrease in the peripheral THs sensitivity index are associated with a higher risk of stroke in CHD patients, and provides new ideas for the assessment of stroke in patients with CHD.

Relationship between the circulating N-terminal pro B-type natriuretic peptide and the risk of carotid artery plaque in different glucose metabolic states in patients with coronary heart disease: a CSCD-TCM plus study in China.

OBJECTIVE: Circulating N-terminal pro B-type natriuretic peptide (NT-proBNP) is a marker for heart failure in patients with coronary heart disease (CHD) and associated with glycemic abnormalities. Studies on the association and diagnostic value of NT-proBNP in carotid plaques (CAP) in patients with CHD are limited. METHODS: The relationships between NT-proBNP and the risk of CAP in different glucose metabolic states, sexes, and age categories were also examined using 5,093 patients diagnosed with CHD. The NT-proBNP tertiles were used to divide patients into three groups in which the NT-proBNP levels, blood glucose levels, the occurrence of CAP, and the number and nature of CAP were measured using normoglycemic (NG), prediabetes (Pre-DM), and diabetes mellitus (DM) glucose metabolic statuses. Logistic regression analyses were used to compare the relationship between NT-proBNP and the risk of CAP occurrence and the number and nature of CAP. The diagnostic value of NT-proBNP for CAP risk was measured using receiver operating characteristic (ROC) curves. RESULTS: We found a 37% relative increase in the correlation between changes in NT-proBNP per standard deviation (SD) and the incidence of CAP. After adjusting for potential confounders, NT-proBNP at the T3 level was found to be associated with an increased CAP odds ratio (OR) when T1 was used as the reference. This relationship was also present in males, patients aged > 60 years, or both pre-DM and DM states. NT-proBNP was more likely to present as hypoechoic plaques at T1 and as mixed plaques at T3. We also measured the diagnostic accuracy of CAP for NT-proBNP in patients with CHD, with an AUC value of 0.627(95% CI 0.592-0.631), sensitivity of 50.7%, and specificity of 68.0%. CONCLUSION: An increase in NT-proBNP was significantly associated with the risk of CAP in patients with CHD, especially in males and patients aged > 60 years, and exhibited specific characteristics under different glucose metabolism states. Trial registration The study was approved by the Ethics Committee of Tianjin University of Traditional Chinese Medicine (Approval number TJUTCM-EC20210007) and certified by the Chinese Clinical Trials Registry on April 4, 2022 (Registration number ChiCTR2200058296) and March 25, 2022 by ClinicalTrials.gov (registration number NCT05309343).

Dynamic Screening of Thyroid Function for the Timely Diagnosis of Congenital Hypothyroidism in Very Preterm Infants: A Prospective Multicenter Cohort Study.

Background: Preterm infants presented a high prevalence of congenital hypothyroidism (CH), while the optimal screening pattern is still under debate. This study aimed at evaluating the characteristics of thyroid function by conducting weekly screening during the first month of life in very preterm infants (VPIs) to achieve timely diagnosis and treatment of CH. Methods: A prospective cohort study was carried out on VPIs born with gestational age (GA) <32 weeks (w) and admitted to the participating institutes from January 1, 2019 to December 31, 2022. Serial serum thyroid hormone levels were measured weekly within the first month after birth, and at 36 w of corrected age, or before discharge. Datasets for serial thyroid hormone levels and general information were obtained. Results: A total of 5992 VPIs were enrolled in this study, of which 456 (7.6%) [95% confidence interval (CI), 6.9-8.3%] were diagnosed with CH. The incidence of CH increased with lower GA, moving from 4.8% [CI, 3.4-6.1%] at GA 31 w to 16.9% [CI, 8.3-25.4%] at GA <26 w. Among the CH subjects, 57.7% [CI, 53.1-62.2%] were identified after the first screening and classified as delayed thyrotropin elevation (dTSH). With the decrease of GA, the proportion of dTSH also increased, moving from 38.1% [CI, 27.5-48.7%] at GA 31 w to 82.6% [CI, 65.8-99.4%] at GA <26 w. Through conducting weekly screening of thyroid function, it was remarkable that only 42.3% [CI, 37.8-46.9%] of CH subjects were diagnosed during the first screening. The cumulative rate of CH identified by rescreening performed at the second, third, and fourth week was 76.1% [CI, 72.2-80.0%], 90.6% [CI, 87.9-93.3%], and 98.9% [CI, 97.9-99.9%], respectively. Conclusion: The incidence of CH and dTSH both increase with lower GA in VPIs. Dynamic screening of thyroid function by weeks within the first month of life is crucial for the timely diagnosis and treatment of CH in VPIs, and it might effectively reduce the implications of missed diagnosis and delayed treatment. Clinical Trials Registration: ChiCTR1900025234 and ChiCTR2000037918 (Registration number).

Machine Learning-Assisted Volatile Organic Compound Gas Classification Based on Polarized Mixed-Potential Gas Sensors.

The performance of electrochemical gas sensors depends on the reactions at the three-phase boundary. In this work, a mixed-potential gas sensor containing a counter electrode, a reference electrode, and a sensitive electrode was constructed. By applying a bias voltage to the counter electrode, the three-phase boundary can be polarized. The polarization state of the three-phase boundary determined the gas-sensitive performance. Taking 100 ppm ethanol vapor as an example, by regulating the polarization state of the three-phase boundary, the response value of the sensor can be adjusted from -170 to 40 mV, and the sensitivity can be controlled from -126.4 to 42.6 mV/decade. The working temperature of the sensor can be reduced after polarizing the three-phase boundary, lowering the power consumption from 1.14 to 0.625 W. The sensor also showed good stability and short response-recovery time (3 s). Based on this sensor, the Random Forest algorithm reached 99% accuracy in identifying the kind of VOC vapors. This accuracy was made possible by the ability to generate several signals concurrently. The above gas-sensitive performance improvements were due to the polarized three-phase boundary.

Reply to the Comment on "Understanding the Increasing Trend of Sensor Signal with Decreasing Oxygen Partial Pressure by a Sensing-Reaction Model Based on O2- Species".

In our recent work (ACS Sens.2022, 7, 1095-1104), Mirabella et al. provided comments on our publication, mainly focusing on the controversy between the oxygen vacancy model and the ionosorbed model and the related derivation based on the law of mass action. Herein we explain the correlation between the ionosorption model and the oxygen vacancy model and provide a brief introduction of our view on these two models. Moreover, a more detailed derivation about the law of mass action is provided to explain the relationship between surface electron concentration, oxygen partial pressure, adsorbed oxygen density, and oxygen vacancy density.

Preparation of BiOI-Functionalized ZnO Nanorods for Ppb-Level NO2 Detection at Room Temperature.

Light activation is an effective method to improve sensor performance at room temperature (RT). This work realized the effective detection of trace-level NO2 at RT under visible light by combining ZnO with the excellent photocatalyst BiOI. A 1.5 atom % BiOI-ZnO-based sensor under 520 nm light exhibited optimal sensing properties with the maximum responses (13.9 to 1 ppm NO2), fast response/recovery time (66 s/47 s to 1 ppm), and a low detection limit of 25 ppb (theoretically 0.34 ppb). In the meantime, the sensor also possessed excellent selectivity, repeatability, and stability. The excellent properties were attributed to the high concentration of oxygen vacancies and the prolonged lifetime of photogenerated carriers. In addition, the observed photovoltaic effect of the sensor at RT indicated that the sensor held application prospects in the photovoltaic self-power field.

Implementation of a temperature bundle improves admission hypothermia in very-low-birth-weight infants in China: a multicentre study.

BACKGROUND: Hypothermia is a common problem that is associated with increased mortality and morbidity among preterm infants, especially in China. The objective of this study was to evaluate the efficacy of a targeted quality improvement (QI) project that applied hypothermia prevention measures for very-low-birth-weight (VLBW) infants in three tertiary neonatal intensive care units (NICUs) in China. PROBLEM: Between January 2018 and December 2018, we conducted a prospective analysis and found that the incidence of AH was 88.2% among VLBW infants. METHODS: The study enrolled preterm infants born at less than 32 weeks' gestation with a VLBW of less than 1500 g who were delivered at three academic tertiary-care hospitals between January 2018 and December 2019. The primary outcome measure was the incidence of hypothermia. The outcomes of the pre-QI group (1 January-31 December 2018) were compared with those of the post-QI group (1 January-31 December 2019). INTERVENTIONS: Based on the literature, our preliminary findings and the needs of each unit, a temperature bundle that included a transport incubator, prewarmed hats, polyethylene wrap, team training and education, and temperature documentation and workflows were implemented in consecutive plan-do-study-act cycles. RESULTS: Of the 530 VLBW infants, 235 infants (36.9%) belonged to the pre-QI group, and 295 infants (46.4%) belonged to the post-QI group. The incidence of hypothermia decreased significantly, from 92.3% to 62% (p<0.001), and the mean body temperature on admission to the NICU increased significantly, from 35.5°C to 36°C±0.7°C (p<0.001). There was one case of hyperthermia during the study period. Infants in the post-QI group had a lower mortality rate (16.1% vs 8.8%, p=0.01). CONCLUSIONS: Targeted interventions can dramatically reduce admission hypothermia and improve the outcome of VLBW infants in China. TRIAL REGISTRATION NUMBER: Chi CTR 1900020861.

Understanding the Increasing Trend of Sensor Signal with Decreasing Oxygen Partial Pressure by a Sensing-Reaction Model Based on O2- Species.

Although the increasing trend of sensor signal with decreasing oxygen partial pressure was observed quite early, the underlying mechanism is still elusive, which is a hindrance to accurate gas detection under varying oxygen partial pressure. In this work, a sensing model based on previous experimental and theoretical results is proposed, in which the O2- species is determined to be the main oxygen species because O- species has not been observed by direct spectroscopic studies. On this basis, combined with the band bending of SnO2 at different oxygen partial pressures, the functional relationship between the surface electron concentration, oxygen partial pressure, and reducing gas concentration is established, which includes three forms corresponding to the depletion layer, accumulation layer, and flat band. In the depletion layer case, the variation of the sensor resistance to different concentrations of CO and oxygen can be well fitted with our function model. Besides, this model predicts that the response of sensors will no longer maintain the increasing trend in an extremely hypoxic atmosphere but will decrease and approach 1 with the background oxygen content further going down to 0.

Highly Selective Mixed Potential Methanol Gas Sensor Based on a Ce0.8Gd0.2O1.95 Solid Electrolyte and Au Sensing Electrode.

A Ce0.8Gd0.2O1.95-based mixed potential type sensor attached with a commercially available Au paste sensing electrode material was fabricated to detect methanol. The optimum working temperature of the sensor was 545 °C, and the response value to 100 ppm methanol was -53 mV. The selectivity of the sensor was poor. The addition of a 4A molecular sieve filter layer and the method of pattern recognition were combined to improve it. Only gas molecules smaller than the pore diameter of the 4A molecular sieve were able to pass through the zeolite channel, and the selectivity coefficient of the sensor to methanol was improved by adding the filter layer. Meanwhile, there was an obvious distinction between the response and recovery times of the sensor toward methanol, ethanol, acetone, n-butanol, and n-pentanol. Next, the pattern recognition method was adopted. The relationship between the response value and the logarithm of gas concentration and the relationship between the maximum rate of the response process and the gas concentration were plotted separately. By comprehensively considering the two characteristic parameters of the response value and the maximum value of the differential response signal, the purpose of qualitative identification of gas types and quantitative analysis of gas concentrations was hopefully achieved.

Photonic Crystal Effects on Upconversion Enhancement of LiErF4:0.5%Tm3+@LiYF4 for Noncontact Cholesterol Detection.

Cholesterol is a vital compound in maintenance for human health, and its concentration levels are tightly associated with various diseases. Therefore, accurate monitoring of cholesterol is of great significance in clinical diagnosis. Herein, we fabricated a noncontact biosensor based on photonic crystal-enhanced upconversion nanoparticles (UCNPs) for highly sensitive and interference-free cholesterol detection. By compounding LiErF4:0.5%Tm3+@LiYF4 UCNPs with poly(methyl methacrylate) (PMMA) photonic crystals (OPCs), we were able to selectively tune the coupling of the photonic band gap to the excitation field and modulate the upconversion (UC) luminescence intensity, given the unique multi-wavelength excitation property of LiErF4:0.5%Tm3+@LiYF4. A 48.5-fold enhancement of the monochromatic red UC emission was ultimately achieved at 980 nm excitation, ensuring improved detection sensitivity. Based on the principle of quenching of the intense monochromic red UC emission by the oxidation products of 3,3',5,5'-tetramethylbenzidine (TMB) yielded from the cholesterol cascade reactions, the biosensor has a detection limit of 1.6 µM for cholesterol with excellent specificity and stability. In addition, the testing results of the as-designed biosensor in patients are highly consistent with clinical diagnostic data, providing a sensitive, reliable, reusable, interference-free, and alternative strategy for clinical cholesterol detection.

Machine Learning-Assisted Development of Sensitive Electrode Materials for Mixed Potential-Type NO2 Gas Sensors.

Yttrium-stabilized zirconia (YSZ)-based mixed potential-type NOx sensors have broad application prospects in automotive exhaust gas detection. Great efforts continue to be made in developing high-performance sensitive electrode materials for mixed potential-type NO2 gas sensors. However, only five kinds of new sensing electrode materials have been developed for this type of gas sensor in the last 3 years. In this work, four different tree-based machine learning models were trained to find potentially sensitive electrode materials for NO2 detection. More than 400 materials were selected from 8000 materials by the above machine learning models. To further verify the reliability of the model, 13 of these materials containing unexploited elements were selected as sensitive electrode materials for making sensors and testing their gas-sensing performances. The experimental results showed that all 13 materials exhibited good gas-sensing performance for NO2. More interestingly, an electrode material BPO4, which does not contain any metal elements, was also screened out and showed good sensing properties to NO2. In a short period of time, 13 new sensitive electrode materials for NO2 detection were targeted and screened, which was difficult to achieve by a trial-and-error procedure.

The diagnostic value of lower glucose consumption for IDH1 mutated gliomas on FDG-PET.

BACKGROUND: Non-invasive diagnosis of IDH1 mutation for gliomas has great clinical significance, and PET has natural advantage to detect metabolism, as IDH mutated gliomas share lower glucose consumption. METHODS: Clinical data of patients with gliomas and 18F-FDG PET were retrospectively reviewed. Receiver operating characteristic curve (ROC) analysis was conducted, and standard uptake value (SUV) was estimated in combination with grades or IDH1 mutation. The glucose consumption was investigated with U251 cells expressing wild-type or mutated IDH1 by glucose assay. Quantification of glucose was determined by HPLC in clinical tissues. Meanwhile, bioinformatics and western blot were applied to analyze the expression level of metabolic enzymes (e.g. HK1, PKM2, PC) in gliomas. RESULTS: Seventy-one glioma cases were enrolled, including 30 carrying IDH1 mutation. The sensitivity and specificity dependent on SUVmax (3.85) predicting IDH1 mutation reached 73.2 and 86.7%, respectively. The sensitivity and specificity of differentiating grades by SUVmax (3.1) were 92.3 and 64.4%, respectively. Glucose consumption of U251 IDH1 mutant cells (0.209 ± 0.0472 mg/ml) was obviously lower than IDH1wild-type cells (0.978 ± 0.0773 mg/ml, P = 0.0001) and astrocyte controls (0.335 ± 0.0592 mg/ml, P = 0.0451). Meanwhile, the glucose quantity in IDH1mutant glioma samples were significantly lower than those in IDH1 wild-type tissues (1.033 ± 1.19608 vs 6.361 ± 4.3909 mg/g, P = 0.0051). Silico analysis and western blot confirmed that HK1 and PKM2 in IDH1 wild-type gliomas were significantly higher than in IDH1 mutant group, while PC was significantly higher in IDH1 mutant gliomas. CONCLUSION: SUVmax on PET can predict IDH1 mutation with adequate sensitivity and specificity, as is supported by reduced glucose consumption in IDH1 mutant gliomas.

[Value of N-terminal pro-brain natriuretic peptide in evaluating early septic cardiac dysfunction in neonates].

OBJECTIVE: To investigate the significance of N-terminal pro-brain natriuretic peptide (NT-proBNP) in the early assessment of neonatal cardiac dysfunction in sepsis. METHODS: The children diagnosed with neonatal sepsis and common infection neonates admitted to the department of pediatric neonatal intensive care unit (NICU) of Liaocheng People's Hospital from January 2016 to January 2019 were enrolled. Data of clinical sign, laboratory results, bedside echocardiography and survival data were collected, and the differences of clinical indexes were compared among sepsis patients with and without cardiac dysfunction and common infection. The risk factors of sepsis with cardiac dysfunction were analyzed by multivariate Logistic regression, and the early prediction value of NT-proBNP for neonatal septic cardiac dysfunction was evaluated by the receiver operating characteristic (ROC) curve. RESULTS: There were 112 neonates with sepsis (49 with cardiac dysfunction and 63 without cardiac dysfunction) and 67 children with common infection included in the analysis. The onset time of neonates in septic cardiac dysfunction group was significantly earlier than that of septic non-cardiac dysfunction group and common infection group [hours: 52.9 (0, 180.3) vs. 53.9 (0, 183.6), 81.0 (45.6, 202.4), both P < 0.05]. Compared with the general infection group, albumin (ALB), white blood cell count (WBC), left ventricular ejection fraction (LVEF) in septic cardiac dysfunction group significantly decreased, NT-proBNP, hypersensitive C-reactive protein (hs-CRP)/ALB, pulmonary artery systolic pressure (PASP) significantly increased, while right ventricular (RV) and Tei index significantly increased [ALB (g/L): 24.1±3.8 vs. 27.8±3.6, WBC (×109/L): 12.7 (3.7, 18.9) vs. 15.4 (9.9, 23.2), LVEF: 0.626±0.123 vs. 0.700±0.021, NT-proBNP (ng/L): 20 230.6 (15 890.0, 35 000.0) vs. 7 324.5 (2 426.5, 13 890.0), hs-CRP/ALB: 0.33 (0.29, 0.81) vs. 0.06 (0.00, 0.21), PASP (mmHg, 1 mmHg = 0.133 kPa): 52.25±14.12 vs. 41.07±27.73, RV (mm): 10.74±2.42 vs. 8.55±1.41, Tei index: 0.52±0.03 vs. 0.30±0.04, all P < 0.05]. NT-proBNP and Tei index in septic cardiac dysfunction group were significantly higher than those in septic non-cardiac dysfunction group [NT-proBNP (ng/L): 20 230.6 (15 890.0, 35 000.0) vs. 13 057.6 (8 946.0, 35 000.0), Tei index: 0.52±0.03 vs. 0.39±0.02, both P < 0.05], and LVEF was significantly lower than that in septic non-cardiac dysfunction group (0.626±0.123 vs. 0.671±0.086, P < 0.05). Multivariate Logistic regression analysis showed that NT-proBNP, Tei index and hs-CRP/ALB were independent risk factors for cardiac dysfunction in sepsis neonates [odds ratio (OR) and 95% confidence interval (95%CI) were 8.73 (1.54-5.67), 1.97 (1.26-2.87), 1.87 (1.03-3.40) respectively, all P < 0.05]. ROC curve analysis showed that NT-proBNP, Tei index and hs-CRP/ALB had good predictive value for the occurrence of cardiac dysfunction in septic neonates, the area under ROC curve (AUC) was 0.81 (95%CI was 0.84-0.91), 0.78 (95%CI was 0.65-0.79) and 0.77 (95%CI was 0.61-0.77), respectively. The sensitivity and specificity of NT-proBNP were 80.0% and 79.0% respectively with 12 291.5 ng/L as the cut-off value, the sensitivity and specificity of Tei index were 74.0% and 77.0% respectively with 0.45 as the cut-off value, and the sensitivity and specificity of hs-CRP/ALB were 76.0% and 76.3% respectively with 0.10 as the cut-off value. CONCLUSIONS: NT-proBNP can be used as a diagnostic marker of early cardiac dysfunction, and for rapid diagnosis of neonatal cardiac dysfunction in sepsis. The application may guide clinicians to use drugs better to improve cardiac function and treatment effect.

Highly sensitive detection of Pb2+ and Cu2+ based on ZIF-67/MWCNT/Nafion-modified glassy carbon electrode.

A series of different facile modification layers (MLs) was designed to gradually increase the electrochemical sensing performance of glassy carbon electrode (GCE) for simultaneously detecting Pb2+ and Cu2+. ML designs were mainly a different combination of ZIF-67, MWCNT and Nafion, and their different electrochemical sensing performances were investigated by cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), square wave stripping voltammetry (SWSV) and chronocoulometry. The fabricated sensor, which modified with ZIF-67/MWCNT and Nafion layer, exhibited the biggest response peak current to Pb2+ and Cu2+. In addition, it displayed a wide linear detection range of 1.38 nM-5 µM for Pb2+ and 1.26 nM-5 µM for Cu2+, a detection accuracy of about 1 nM for both Pb2+ and Cu2+, and an excellent stability for both Pb2+ and Cu2+. We also analyzed the real water sample taken from Changchun's Sanjia Lake and Yan Lake. We believe this ML design provides instruction for building high-performance electrochemical sensing systems.

Au39Rh61 Alloy Nanocrystal-Decorated W18O49 for Enhanced Detection of n-Butanol.

Here, AuxRh1-x alloy nanocrystals (NCs) were used to decorate W18O49 for enhanced detection of n-butanol vapor. Monodisperse AuxRh1-x alloy NCs with a tunable composition and urchinlike W18O49 were synthesized by a simple solvothermal method. AuxRh1-x alloy NCs were loaded onto the W18O49 surface by the impregnation method. A series of material characterization methods were employed to characterize the structure and morphology of as-synthesized materials. The performance of AuxRh1-x-W18O49-based sensors to n-butanol was investigated. The results demonstrated that the Au39Rh61-W18O49-based sensor had the highest response, short response time, good selectivity, excellent repeatability, and stability to n-butanol. The gas sensing mechanism was supposed, the excellent catalytic capability of the AuxRh1-x alloy NCs were believed to be a major factor in enhancing the detection of n-butanol.

Selective-detection NO at room temperature on porous ZnO nanostructure by solid-state synthesis method.

High sensitivity and selectivity detection of NO at room temperature has always been full of challenges. In this work, a kind of porous ZnO with coralline-like nanostructure was prepared by a rapid and simple solid-state synthesis strategy, using zinc acetate and oxalic acid as precursors. Structural analysis and morphological investigations of the ZnO powder showed that it has a large specific surface area (32.75 m2 g-1) and many nanometer-sized channels between ZnO nanoparticles. This is beneficial to the adsorption and desorption of NO, which is an important reason for the selective detection of NO by the ZnO powder at room temperature. So based on the ZnO powder, a gas sensor was fabricated and its gas-sensing properties were investigated. It exhibited outstanding response (23.59) and fast response time (331 s) to 40 ppm of NO at room temperature (21 ±â€¯2 °C). As the relative humidity study changed from 17% to 80% at 10 ppm of NO, the sensitivity of the sensor changed little, only decreased from 1.43 to 1.12. The stability study was also carried out. Under the concentration of 5 ppm of NO, the relative standard deviation was 0.33% within 8 days, which indicates that the obtained sensor is suitable for practical application.

[Clinical significance of oral motor intervention on the prognosis of early premature infant].

OBJECTIVE: To explore the clinical significance of early oral intervention measures in the prognosis of premature infants. METHODS: 151 preterm infants admitted to neonatal intensive care unit (NICU) of Liaocheng People's Hospital from January 2015 to January 2017 were enrolled. Premature infants were divided into intervention group and control group according to random number table method and with the consent of legal guardian. Both groups received routine treatment of preterm infants after stable vital signs. The intervention group received the oral massage method adopted by none-nutritive sucking, stimulating swallowing function and SandraFucile on the basis of routine treatment, once a day for 14 consecutive days. Both groups were followed up for 6 months. The oral feeding ability of premature infants was evaluated by the proficiency (PRO), rate of transfer (RT), feeding process and non-nutritive suction (NNS). At 40 weeks of postmenstrual age (PMA), neonatal behavioral neurological (NBNA) was used to assess neonatal brain development; Infanib was used for early motor development evaluation at 3 months and 6 months after birth. RESULTS: Finally, 151 premature infants were enrolled, including 78 in the intervention group and 73 in the control group. The time to complete oral feeding of the intervention group was significantly shorter than that of the control group (days: 18.1±3.7 vs. 23.4±5.8, P < 0.05). Compared with the control group, at the time of complete oral feeding, the PMA of the intervention group was significantly decreased (weeks: 33.4±0.9 vs. 35.9±1.9, P < 0.05), the feeding efficiency was significantly increased (mL/min: 10.6±5.1 vs. 8.1±4.7, P < 0.05), and PRO was significantly increased [(95±8)% vs. (72±28)%, P < 0.05], and the body weight was significantly decreased (g: 1 836.0±193.0 vs. 2 000.8±204.5, P < 0.05). The NNS scores of the intervention group and the control group were increased gradually with time (F values were 86.21 and 75.23, respectively, both P < 0.01), and the NNS scores of the intervention group at 10 days and 14 days were significantly higher than those of the control group (52.89±6.26 vs. 46.74±6.24, 73.90±7.01 vs. 63.53±6.80, both P < 0.01). The NBNA scores of the two groups were lower, but there was no significant difference between the intervention group and the control group (32.7±3.6 vs. 32.0±4.1, P > 0.05). Infanib evaluation at 3 months of age showed that the proportion of normal children in the intervention group was significantly higher than that in the control group [67.95% (53/78) vs. 49.31% (36/73), P < 0.05], and at 6 months of age, the proportion of normal children in the intervention group was significantly higher than that in the control group [84.62% (66/78) vs. 58.90% (43/73), P < 0.01]. CONCLUSIONS: Early oral exercise intervention can shorten the transition time from tube feeding to full oral feeding in NICU premature infants and improve the performance of infants during feeding.