Red meat intake, faecal microbiome, serum trimethylamine N-oxide and hepatic steatosis among Chinese adults.

BACKGROUND AND AIMS: Emerging evidence suggests a detrimental impact of high red meat intake on hepatic steatosis. We investigated the potential interplay between red meat intake and gut microbiome on circulating levels of trimethylamine N-oxide (TMAO) and hepatic steatosis risk. METHODS: This cross-sectional study was conducted in a representative sample of 754 community-dwelling adults in Huoshan, China. Diet was collected using 4 quarterly 3 consecutive 24-h dietary (12-day) recalls. We profiled faecal microbiome using 16S ribosomal RNA sequencing and quantified serum TMAO and its precursors using LC-tandem MS (n = 333). We detected hepatic steatosis by FibroScan. The adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were calculated using logistic regression. RESULTS: TMAO levels but not its precursors were positively associated with the likelihood of hepatic steatosis (aOR per 1-SD increment 1.86, 95% CI 1.04-3.32). We identified 14 bacterial genera whose abundance was associated with TMAO concentration (pFDR < .05) belonging to the phyla Firmicutes, Bacteroidetes, Actinobacteria and Proteobacteria families. Per 10 g/day increase in red meat intake was positively associated with TMAO levels among participants who had higher red meat intake (>70 g/day) and higher TMAO-predicting microbial scores (TMS, ß = .045, p = .034), but not among others (pinteraction = .030). TMS significantly modified the positive association between red meat and steatosis (pinteraction = .032), with a stronger association being observed among participants with higher TMS (aOR 1.30, 95% CI 1.07-1.57). CONCLUSIONS: The bacterial genera that predicted TMAO levels may jointly modify the association between red meat intake and TMAO levels and the subsequent risk of hepatic steatosis.

Dietary intake of branched-chain amino acids (BCAAs), serum BCAAs, and cardiometabolic risk markers among community-dwelling adults.

PURPOSE: To investigate the associations between dietary/serum branched-chain amino acids (BCAAs) and cardiometabolic risk markers. METHODS: In a cohort of 2791 participants, diet and cardiometabolic risk markers were measured twice at baseline in overall participants and after 1-year in a subset of 423 participants. We assessed serum BCAAs at baseline and arterial stiffness after 1-year. The cross-sectional associations between dietary/serum BCAAs and cardiometabolic risk markers were analyzed using baseline measurements by linear regression, while the 1-year longitudinal association were analyzed using repeated measurements by linear mixed-effects regression. RESULTS: Higher BCAA intake from poultry was associated with lower triglycerides (ß=-0.028, P = 0.027) and higher high-density lipoprotein cholesterol (HDL-C, ß = 0.013, P = 0.006), while BCAAs in red and processed meat or fish were inversely associated with low-density lipoprotein cholesterol (ß = 0.025, P = 0.001) and total cholesterol (ß = 0.012, P = 0.033), respectively. BCAAs in whole grains and nuts were associated with higher HDL-C (ß = 0.011, P = 0.016), and lower TG (ß=-0.021, P = 0.041) and diastolic blood pressure (ß=-0.003, P = 0.027). Also, BCAAs from soy or vegetables and fruits were inversely associated with arterial stiffness (ß=-0.018, P = 0.047) and systolic blood pressure (ß=-0.011, P = 0.003), respectively. However, BCAAs in refined grains were positively associated with triglycerides (ß = 0.037, P = 0.014). Total serum BCAAs were unfavorably associated with multiple cardiometabolic risk markers (all P < 0.05). CONCLUSION: Dietary BCAAs in poultry, whole grains and nuts, soy, and vegetables and fruits may be favorably, while BCAAs in red and processed meat, fish, and refined grains were unfavorably associated with cardiometabolic health. Serum BCAAs showed a detrimental association with cardiometabolic risk markers.

SPNet: a size-variant progressive network for aero-optical thermal radiation effects correction.

When an aircraft is flying at a high speed, the airflow meets the optical cover and is compressed, resulting in aero-optical thermal radiation effects that degrade image quality. In this paper, based on the inherent characteristic that the degrade level of the thermal radiation bias field remains consistent regardless of image size, a size-variant progressive aero-optical thermal radiation effects correction network (SPNet) is proposed. First, SPNet uses two sub-networks to progressively correct degraded image, first and second sub-networks are responsible for learning coarse and accurate thermal radiation bias fields respectively. Second, we introduce the multi-scale feature upsampling module (MFUM) to leverage the multi-scale information of the features and promote inter-channel information interaction. Third, we propose an adaptive feature fusion module (AFFM) to dynamically fuse features from different scales by assigning different weights. At last, a multi-head self-attention feature extraction module (MSFEM) is proposed to extract global information feature maps. Compared with state-of-the-art thermal radiation effects correction methods, experiments on both simulated and real degraded images demonstrate the performance of our proposed method.

Association between time-restricted eating and non-alcoholic fatty liver disease in a nationwide cross-sectional study.

The association between time-restricted eating (TRE) and the risk of non-alcoholic fatty liver disease (NAFLD) is less studied. Moreover, whether the association is independent of physical exercise or diet quality or quantity is uncertain. In this nationwide cross-sectional study of 3813 participants, the timing of food intakes was recorded by 24-h recalls; NAFLD was defined through vibration-controlled transient elastography in the absence of other causes of chronic liver disease. OR and 95 % CI were estimated using logistic regression. Participants with daily eating window of ≤ 8 h had lower odds of NAFLD (OR = 0·70, 95 % CI: 0·52, 0·93), compared with those with ≥ 10 h window. Early (05.00-15.00) and late TRE (11.00-21.00) showed inverse associations with NAFLD prevalence without statistical heterogeneity (Pheterogeneity = 0·649) with OR of 0·73 (95 % CI: 0·36, 1·47) and 0·61 (95 % CI: 0·44, 0·84), respectively. Such inverse association seemed stronger in participants with lower energy intake (OR = 0·58, 95 % CI: 0·38, 0·89, Pinteraction = 0·020). There are no statistical differences in the TRE-NAFLD associations according to physical activity (Pinteraction = 0·390) or diet quality (Pinteraction = 0·110). TRE might be associated with lower likelihood of NAFLD. Such inverse association is independent of physical activity and diet quality and appears stronger in individuals consuming lower energy. Given the potential misclassification of TRE based on one- or two-day recall in the analysis, epidemiological studies with validated methods for measuring the habitual timing of dietary intake are warranted.

Intra-block pyramid cross-scale network for thermal radiation effect correction of uncooled infrared images.

Thermal radiation effects can greatly degrade the image quality of uncooled infrared focal plane array detection systems. In this paper, we propose a thermal radiation effect correction network based on intra-block pyramid cross-scale feature extraction and fusion. First, an intra-block pyramid residual attention module is introduced to obtain fine-grained features from long-range IR images by extracting cross-scale local features within the residual block. Second, we propose a cross-scale gated fusion module to efficiently integrate the shallow and abstract features at multiple scales of the encoder and decoder through gated linear units. Finally, to ensure accurate correction of thermal radiation effects, we add double-loss constraints in the spatial-frequency domain and construct a single-input, multi-output network with multiple supervised constraints. The experimental results demonstrate that our proposed method outperforms state-of-the-art correction methods in terms of both visual quality and quantitative evaluation metrics.

Adaptive anisotropic pixel-by-pixel correction method for a space-variant degraded image.

Large field-of-view optical imaging systems often face challenges in the presence of space-variant degradation. The existence of degradation leads to target detection and recognition being difficult or even unsuccessful. To address this issue, this paper proposes an adaptive anisotropic pixel-by-pixel space-variant correction method. First, we estimated region acquisition of local space-variant point spread functions (PSFs) based on Haar wavelet degradation degree distribution, and obtained initial PSF matrix estimation with inverse distance weighted spatial interpolation. Then, we established a pixel-by-pixel space-variant correction model based on the PSF matrix. Third, we imposed adaptive sparse regularization terms of the Haar wavelet based on the adaptive anisotropic iterative reweight strategy and non-negative regularization terms as the constraint in the pixel-by-pixel space-variant correction model. Finally, as the correction process is refined to each pixel, the split-Bregman multivariate separation solution algorithm was employed for the pixel-by-pixel spare-variant correction model to estimate the final PSF matrix and the gray value of each pixel. Through this algorithm, the "whole image correction" and "block correction" is avoided, the "pixel-by-pixel correction" is realized, and the final corrected images are obtained. Experimental results show that compared with the current advanced correction methods, the proposed approach in the space-variant wide field correction of a degraded image shows better performance in preserving the image details and texture information.

FEUSNet: Fourier Embedded U-Shaped Network for Image Denoising.

Deep convolution neural networks have proven their powerful ability in comparing many tasks of computer vision due to their strong data learning capacity. In this paper, we propose a novel end-to-end denoising network, termed Fourier embedded U-shaped network (FEUSNet). By analyzing the amplitude spectrum and phase spectrum of Fourier coefficients, we find that low-frequency features of an image are in the former while noise features are in the latter. To make full use of this characteristic, Fourier features are learned and are concatenated as a prior module that is embedded into a U-shaped network to reduce noise while preserving multi-scale fine details. In the experiments, we first present ablation studies on the Fourier coefficients' learning networks and loss function. Then, we compare the proposed FEUSNet with the state-of-the-art denoising methods in quantization and qualification. The experimental results show that our FEUSNet performs well in noise suppression and preserves multi-scale enjoyable structures, even outperforming advanced denoising approaches.

Multi-scale thermal radiation effects correction via a fast surface fitting with Chebyshev polynomials.

In an uncooled infrared imaging system, thermal radiation effects are caused by the heat source from the target or the detection window, which affects the ability of target detection, tracking, and recognition seriously. To address this problem, a multi-scale correction method via a fast surface fitting with Chebyshev polynomials is proposed. A high-precision Chebyshev polynomial surface fitting is introduced into thermal radiation bias field estimation for the first time, to the best of our knowledge. The surface fitting in the gradient domain is added to the thermal radiation effects correction model as a regularization term, which overcomes the ill-posed matrix problem of high-order bivariate polynomials surface fitting, and achieves higher accuracy under the same order. Additionally, a multi-scale iterative strategy and vector representation are adopted to speed up the iterative optimization and surface fitting, respectively. Vector representation greatly reduces the number of basis function calls and achieves fast surface fitting. In addition, split Bregman optimization is used to solve the minimization problem of the correction model, which decomposes the multivariable optimization problem into multiple univariate optimization sub-problems. The experimental results of simulated and real degraded images demonstrate that our proposed method performs favorably against the state of the art in thermal radiation effects correction.

A risk score for early predicting bloodstream infections in febrile obstetric patients: a pilot study.

PURPOSE: Early prediction of bloodstream infections (BSI) among obstetric patients remains to be a challenge for clinicians. The objective of this study was to develop a risk score and assess its discriminative ability in febrile obstetric patients in a maternal intensive care unit (ICU). METHODS: Between May 2015 and August 2020, a total of 497 febrile obstetric patients were categorized into BSI group (n = 276) and Non-BSI group (n = 221) based on the result of blood cultures. White blood cell count, C-reactive protein (CRP), procalcitonin (PCT), time of interval from amniorrhea to fever (IFAF) and maximum body temperature (Tmax) were compared between the two groups. All patients were divided into training set (n = 298) and validation set (n = 199). The risk score was established using univariate and multivariate logistic regression from patients in the training set, and its discriminative ability was tested among patients in the validation set. RESULTS: The levels of neutrophil, CRP, PCT, IFAF and Tmax were significantly higher in BSI group than those in Non-BSI group. PROM, Tmax, neutrophil and CRP acted as independent predictive factors for BSI in the training set. The area under the receiver operating characteristic curve of risk score for early prediction of BSI in the training, validation set and the whole population was 0.829 (95% CI 0.783-0.876), 0.848 (95% CI 0.792-0.903) and 0.838 (95% CI 0.803-0.873), respectively. CONCLUSION: The risk score has a feasible discriminatory ability in early prediction of BSI in febrile obstetric patients.

Efficient removal of triclosan via peroxymonosulfate activated by a ppb level dosage of Co(II) in water: Reaction kinetics, mechanisms and detoxification.

Triclosan (TCS), an extensively used broad-spectrum antimicrobial agent, has raised significant environmental concerns regarding its widespread occurrence in waters. In this study, the removal of TCS in aqueous solution via peroxymonosulfate (PMS) activated by an extremely low-level Co2+ (0.02 µM) was systematically investigated. During preliminary test, TCS (10 µM) was totally degraded in 30 min by using 0.1 µM Co2+ and 40 µM PMS at pH 7.0 with a degradation rate constant of 0.1219 min-1. A first-order apparent degradation rate of TCS was found with respect to the PMS concentrations. At extremely low dosage of Co2+ (0.02 µM), the presence of NO3-, HCO3-, PLFA, and SRHA within test concentrations significantly inhibited TCS removal, while a dual effect of Cl- on the degradation rate of TCS was observed. The quenching experiments verified that SO4- was the dominant reactive oxygen species (ROS) rather than OH. Six major intermediates were identified using TOF-LC-MS, based on which we proposed three associated reaction pathways including hydroxylation, ether bond breakage, and dechlorination. Toxicity predictions by ECOSAR software exhibited aquatic toxicity reduction of TCS after Co2+/PMS treatment. We outlook these findings to advance the feasibility of organic contaminants removal via Co2+/PMS system with Co2+ at extremely low levels.

Establishing a novel score system and using it to assess and compare the quality of ChatGPT-4 consultation with physician consultation for obstetrics and gynecology: A pilot study.

OBJECTIVES: In the current study, we aimed to establish a quantified scoring system for evaluating consultation quality. Subsequently, using the score system to assess the quality of ChatGPT-4 consultations, we compared them with physician consultations when presented with the same clinical cases from obstetrics and gynecology. METHODS: This study was conducted in the Women and Children's Hospital of Chongqing Medical University, a tertiary-care hospital with approximately 16 000-20 000 deliveries and 8500-12 000 gynecologic surgeries per year. The detailed data from obstetric and gynecologic medical records were analyzed by ChatGPT-4 and physicians; the consultation opinions were then generated respectively. All consultation opinions were graded by eight junior doctors using the novel score system; subsequently, the correlation, agreement, and comparison between the two types of consultation opinions were then evaluated. RESULTS: A total of 100 medical records from obstetrics and 100 medical records from gynecology were randomly selected. Pearson correlation analysis suggested a noncorrelation or weak correlation between consultations from ChatGPT-4 and physicians. Bland-Altman plot showed an unacceptable agreement between the two types of consultation opinions. Paired t tests showed that the scores of physician consultations were significantly higher than those generated by ChatGPT-4 in both obstetric and gynecologic patients. CONCLUSION: At present, ChatGPT-4 may not be a substitute for physicians in consultations for obstetric and gynecologic patients. Therefore, it is crucial to pay careful attention and conduct ongoing evaluations to ensure the quality of consultation opinions generated by ChatGPT-4.

Effects of intravenous nicardipine followed by oral labetalol in combination with nifedipine controlled-release tablet on severe peripartum hypertension.

OBJECTIVES: To investigate the effects of intravenous nicardipine as initial therapy and oral labetalol combined with nifedipine controlled-release tablet as subsequent treatment of severe peripartum hypertension. MATERIAL AND METHODS: Intravenous nicardipine was delivered as the initial treatment, after the target blood pressure (BP) had been achieved, oral labetalol was used to maintain the target BP. If oral labetalol failed to maintain the target BP, oral labetalol combined with nifedipine controlled-release tablet was used. RESULTS: A total number of 131 patients were enrolled. The target BP (BP < 140/90 mmHg) was achieved in all patients within 60 minutes by intravenous nicardipine. After receiving labetalol orally, the target BP was maintained in nine patients. However, in 104 patients, we had to combine oral labetalol and nifedipine controlled-release tablet due to re-elevation of their systolic BP to 140-159 mmHg. In 18 patients, we restarted intravenous nicardipine because their systolic BP re-elevated above 160 mm Hg. Among the 104 patients who received oral labetalol and nifedipine controlled-release tablet, the target BP was achieved and maintained in 96 patients, and eight patients had to restart nicardipine. Of the total number of 26 patients in whom intravenous nicardipine was resumed, the target BP was successfully maintained in 22 patients with oral labetalol combined with nifedipine controlled-release tablet. CONCLUSIONS: Intravenous nicardipine rapidly and safely lowered severe peripartum hypertension. As subsequent therapy, oral labetalol combined with nifedipine controlled-release tablet protocol may be applied to effectively maintain a target BP.

Dietary and circulating branched chain amino acids are unfavorably associated with body fat measures among Chinese adults.

Animal studies showed a detrimental effect of dietary branched chain amino acids (BCAAs) on metabolic health, while epidemiological evidence on dietary BCAAs and obesity is limited and inconclusive. We hypothesized that high dietary and circulating BCAAs are unfavorably associated with obesity in community-dwelling adults. We evaluated the 1-year longitudinal associations of dietary BCAA intake and circulating BCAAs with body fat measures. Body weight, height, and circumferences of the waist (WC) and hip (HC) were measured at baseline and again after 1-year. Body composition and liver fat [indicated by controlled attenuation parameter (CAP)] were also assessed after 1-year. Serum BCAA concentrations at baseline were quantified by liquid chromatography mass spectrometry. Diet was collected using 4 quarterly 3-day recalls during the 1-year. The correlation coefficients between dietary and serum BCAAs were 0.12 (P = .035) for total dietary BCAAs, and ranged from -0.02 (soy foods, P = .749) to 0.18 (poultry, P = .001). Total dietary BCAA intake was associated with increase in body weight (ß = 0.044, P = .022) and body mass index (BMI, ß = 0.047, P = .043). BCAAs from animal foods were associated with increase in HC, while BCAAs from soy foods were associated with weight gain and higher CAP (all P < .05). Serum BCAAs were associated with higher WC, HC, BMI, body fat mass, visceral fat level, and CAP (all P < .05). These results support that dietary and circulating BCAAs are positively associated with the risk of obesity. More cohort studies with validated dietary assessment tools and long-term follow-up among diverse populations are needed to confirm our findings.

Spatial distribution and source identification of persistent pollutants in marine sediments of Hong Kong.

A data matrix, obtained during a 3-year monitoring period (2007-2009) from 45 sampling sites in Hong Kong marine, was subjected to determine the spatial characterization and identify the sources of main pollutants. Indicator analyses indicated that polycyclic aromatic hydrocarbons (PAHs), nickel, manganese, and arsenic (As) were at safe levels. Five heavy metals (zinc, lead, cupper, cadmium, chromium (Cr)) were moderate to severe enrichment at some sites. Inner Deep Bay and Victoria Harbor were considered as hot spots for PAHs and the heavy metals, while Tolo Harbor was highly polluted by the heavy metals. Cluster analysis classified the 45 sampling sites into three groups, representing different pollution levels. Principal component analysis/factor analysis identified four principal components (PCs) and explained 84.9 % of the total variances, standing for persistent pollution, N factor, P and Cr factor, and As factor, respectively. Group A was highly polluted by persistent pollution, group B was the less polluted group, and subgroup B1 was less affected by PC3 and PC4 than subgroup B2. Group C, considered as the moderately polluted group, was greatly affected by N factor or persistent pollution, while subgroup C2 received more N pollution than subgroup C1.

Robotic Grasp Detection Network Based on Improved Deformable Convolution and Spatial Feature Center Mechanism.

In this article, we propose an effective grasp detection network based on an improved deformable convolution and spatial feature center mechanism (DCSFC-Grasp) to precisely grasp unidentified objects. DCSFC-Grasp includes three key procedures as follows. First, improved deformable convolution is introduced to adaptively adjust receptive fields for multiscale feature information extraction. Then, an efficient spatial feature center (SFC) layer is explored to capture the global remote dependencies through a lightweight multilayer perceptron (MLP) architecture. Furthermore, a learnable feature center (LFC) mechanism is reported to gather local regional features and preserve the local corner region. Finally, a lightweight CARAFE operator is developed to upsample the features. Experimental results show that DCSFC-Grasp achieves a high accuracy (99.3% and 96.1% for the Cornell and Jacquard grasp datasets, respectively) and even outperforms the existing state-of-the-art grasp detection models. The results of real-world experiments on the six-DoF Realman RM65 robotic arm further demonstrate that our DCSFC-Grasp is effective and robust for the grasping of unknown targets.

Metabolic and Risk Profiles of Lean and Non-Lean Hepatic Steatosis among US Adults.

Hepatic steatosis can occur in lean individuals, while its metabolic and risk profiles remain unclear. We aimed to characterize the clinical and risk profiles of lean and non-lean steatosis. This cross-sectional study included 1610 patients with transient elastography-assessed steatosis. The metabolic and risk profiles were compared. Compared to their non-lean counterparts, lean subjects with steatosis had a lower degree of fibrosis (F0-F1: 91.9% vs. 80.9%), had a lower prevalence of diabetes (27.9% vs. 32.8%), dyslipidemia (54.7% vs. 60.2%) and hypertension (50.0% vs. 51.3%), and had higher levels of high-density lipoprotein cholesterol while lower fasting insulin and homeostatic model assessment for insulin resistance (all p < 0.05). Of the 16 potential risk factors, being Hispanic was associated with higher odds of non-lean steatosis but not with lean steatosis (odds ratio (OR): 2.07 vs. 0.93), while excessive alcohol consumption had a different trend in the ratio (OR: 1.47 vs.6.65). Higher waist-to-hip ratio (OR: 7.48 vs. 2.45), and higher waist circumference (OR: 1.14 vs. 1.07) showed a stronger positive association with lean steatosis than with non-lean steatosis (all Pheterogeneity < 0.05). Although lean individuals with steatosis presented a healthier metabolic profile, both lean and non-lean steatosis had a significant proportion of metabolic derangements. In addition, the etiological heterogeneity between lean and non-lean steatosis may exist.

Dietary fiber intake and non-alcoholic fatty liver disease: The mediating role of obesity.

Background and aims: Dietary pattern rich in fiber is negatively associated with the risk of non-alcoholic fatty liver disease (NAFLD). Meanwhile, obesity is a known predisposing factor for NAFLD. Nutrient-focused research can enhance the mechanistic understanding of dietary effects. We thus hypothesized that higher dietary fiber intake was associated with lower risk of NAFLD through the mediating role of obesity. Methods: In this nationwide cross-sectional study, dietary fiber was surveyed using two 24-h recalls. NAFLD and clinically significant fibrosis (CSF) were determined by vibration-controlled transient elastography. Multivariable logistic and linear regression were applied to investigate the association of dietary fiber with NAFLD, CSF, and liver function parameters. We used counterfactual-based mediation analysis to estimate the direct and indirect effect of dietary fiber on NAFLD. Results: Of the 3,974 participants, ~36.86% and 7.78% of participants were diagnosed with NAFLD and CSF. Compared with participants among the lowest tertile, the highest tertile of dietary fiber consumption was associated with lower odds of NAFLD (OR = 0.81; 95% CI: 0.66-0.98; P overall = 0.019). Dietary fiber intake appeared to be linked with lower odds of CSF (OR Tertile3vs.Tertile1 = 0.81; 95% CI: 0.58-1.14; P overall = 0.107). Mediation analysis showed that obesity fully mediated the association of dietary fiber with NAFLD. Dietary fiber was associated with improved hepatic parameters. Conclusions: The findings indicated that increasing dietary fiber intake could confer a greater benefit to protect against NAFLD. Translating these findings regarding dietary fiber into dietary advice might be an attractive strategy for NAFLD prevention.

Higher Adherence to Healthy Lifestyle Score Is Associated with Lower Odds of Non-Alcoholic Fatty Liver Disease.

Growing evidence supports that individual lifestyle factors contribute to the development of non-alcoholic fatty liver disease (NAFLD) without considering the coexistence and synergistic effect of lifestyle factors. Our aim is to derive a healthy lifestyle score (HLS) and estimate its association with NAFLD. In this nationwide cross-sectional study, we derived a five-item HLS including dietary pattern, body mass index, physical activity, cigarette smoking, and sleep duration. NAFLD and clinically significant fibrosis (CSF) were assessed based on vibration-controlled transient elastography (VCTE). Liver function parameters were also tested. Multivariable logistic and linear regressions were applied to investigate the association between HLS and liver diseases. Of the 3893 participants with VCTE examination, approximately 14.1% of participants possessed zero or one healthy lifestyle, 62.5% possessed two or three healthy lifestyles, and 23.4% possessed four or five healthy lifestyles. Compared with participants with a low HLS (0−1 score), the adjusted odds ratios and 95% confidence intervals for those with a high HLS (4−5 score) were 0.25 (0.19~0.33, Ptrend < 0.001) for NAFLD and 0.30 (0.18~0.50, Ptrend < 0.001) for CSF. HLS was positively associated with albumin, total protein, and total bilirubin (all Ptrend ≤ 0.001), and was inversely associated with globulin, alanine aminotransferase, and gamma-glutamyl transaminase (all Ptrend ≤ 0.003). Higher adherence to HLS is associated with lower odds of NAFLD and CSF and may improve liver function. Strategies for the promotion of a healthy lifestyle should be considered as part of NAFLD prevention.

Effect of microplastics in sludge impacts on the vermicomposting.

To investigate the effect of microplastics (MPs) particles in vermicomposting, polyethylene (PE) particles added into sludge. Results showed that the vermicomposting with high MPs addition obtained lower removal efficiencies for organics than the vermicomposting with low MPs addition. The content of DOC and NH4+-N in M4 reactor (with the highest MPs addition) at 80 days was 8.4 mg/kg and 74.2 mg/kg, respectively. The pH, C/N, electrical conductivity (EC), and germination index (GI) results showed that the addition amount of MPs was directly proportional to the negative effect of composting. The negative effect mainly occurred after 20 days of composting. High MPs addition resulted in apparent oxidative stress and neurotoxicity on earthworm, the values of catalase (CAT) and acetylcholine esterase (AChE) in M4 reactor increased by 2.03 times and 1.60 times. The bacteria in M4 were more barren and lower in terms of diversity.

Intra-arterial versus oscillometric blood pressure measurements in women with severe peripartum hypertension undergoing urgent treatment with nicardipine: An observational study.

OBJECTIVES: The aim of this study was to compare radial arterial catheter-derived pressure with oscillometric blood pressure in women with severe peripartum hypertension undergoing urgent treatment with intravenous nicardipine at a maternal intensive care unit. STUDY DESIGN: We obtained patients' paired values of systolic blood pressure (SBP), diastolic blood pressure (DBP) and mean arterial pressure (MAP). All of the measurements were divided into four groups based on the levels of SBP and MAP measured using the oscillometric method. MAIN OUTCOME MEASURES: We assessed agreements of the paired values using the Bland-Altman method. The clinical relevance of differences between the two methods was assessed by error grid analysis. RESULTS: A total of 337 paired SBP and DBP values and 305 paired MAP values were obtained for 89 patients. The values of intra-arterial SBP were higher than those of oscillometric SBP. The values of intra-arterial MAP were higher than those of oscillometric MAP except for the women with MAP ≥ 125 mm Hg. Bland - Altman analysis showed acceptable agreement for DBP and MAP measured by intra-arterial method and oscillometric method. Error grid analysis showed the proportions of measurements in risk zones A to E were 83.22%, 16.46%, 0.32%, 0%, and 0% for SBP, and 97.81%, 2.19%, 0%, 0%, and 0% for MAP, respectively. CONCLUSION: Intra-arterial MAP can be used reliably to monitor the effect of intravenous nicardipine for treating severe hypertension. Intra-arterial SBP may trigger moderate-risk treatment decisions in the women with oscillometric SBP ≤ 160 mm Hg.