A CNN model for early detection of pepper Phytophthora blight using multispectral imaging, integrating spectral and textural information.

BACKGROUND: Pepper Phytophthora blight is a devastating disease during the growth process of peppers, significantly affecting their yield and quality. Accurate, rapid, and non-destructive early detection of pepper Phytophthora blight is of great importance for pepper production management. This study investigated the possibility of using multispectral imaging combined with machine learning to detect Phytophthora blight in peppers. Peppers were divided into two groups: one group was inoculated with Phytophthora blight, and the other was left untreated as a control. Multispectral images were collected at 0-h samples before inoculation and at 48, 60, 72, and 84 h after inoculation. The supporting software of the multispectral imaging system was used to extract spectral features from 19 wavelengths, and textural features were extracted using a gray-level co-occurrence matrix (GLCM) and a local binary pattern (LBP). The principal component analysis (PCA), successive projection algorithm (SPA), and genetic algorithm (GA) were used for feature selection from the extracted spectral and textural features. Two classification models were established based on effective single spectral features and significant spectral textural fusion features: a partial least squares discriminant analysis (PLS_DA) and one-dimensional convolutional neural network (1D-CNN). A two-dimensional convolutional neural network (2D-CNN) was constructed based on five principal component (PC) coefficients extracted from the spectral data using PCA, weighted, and summed with 19-channel multispectral images to create new PC images. RESULTS: The results indicated that the models using PCA for feature selection exhibit relatively stable classification performance. The accuracy of PLS-DA and 1D-CNN based on single spectral features is 82.6% and 83.3%, respectively, at the 48h mark. In contrast, the accuracy of PLS-DA and 1D-CNN based on spectral texture fusion reached 85.9% and 91.3%, respectively, at the same 48h mark. The accuracy of the 2D-CNN based on 5 PC images is 82%. CONCLUSIONS: The research indicates that Phytophthora blight infection can be detected 48 h after inoculation (36 h before visible symptoms). This study provides an effective method for the early detection of Phytophthora blight in peppers.

Effect of folA gene in human breast milk-derived Limosilactobacillus reuteri on its folate biosynthesis.

Introduction: Folate supplementation is crucial for the human body, and the chemically synthesized folic acid might have undesirable side effects. The use of molecular breeding methods to modify the genes related to the biosynthesis of folate by probiotics to increase folate production is currently a focus of research. Methods: In this study, the folate-producing strain of Limosilactobacillus reuteri B1-28 was isolated from human breast milk, and the difference between B1-28 and folA gene deletion strain ΔFolA was investigated by phenotyping, in vitro probiotic evaluation, metabolism and transcriptome analysis. Results: The results showed that the folate producted by the ΔFolA was 2-3 folds that of the B1-28. Scanning electron microscope showed that ΔFolA had rougher surface, and the acid-producing capacity (p = 0.0008) and adhesion properties (p = 0.0096) were significantly enhanced than B1-28. Transcriptomic analysis revealed that differentially expressed genes were mainly involved in three pathways, among which the biosynthesis of ribosome and aminoacyl-tRNA occurred in the key metabolic pathways. Metabolomics analysis showed that folA affected 5 metabolic pathways, involving 89 different metabolites. Discussion: In conclusion, the editing of a key gene of folA in folate biosynthesis pathway provides a feasible pathway to improve folate biosynthesis in breast milk-derived probiotics.

Association Between Quality of Life Defined by EuroQol Group 5 Dimension and Composite Inferior Outcome Among Inpatients with Cirrhosis.

Purpose: The utility of the EuroQol Group 5 Dimension (EQ-5D) measuring health-related quality of life (HRQoL) has been verified; however, knowledge gaps remain concerning predictive performance in cirrhosis. We aimed to identify the optimal threshold for risk stratification and the pronounced domain in the EQ-5D linked to inferior outcomes. Patients and Methods: The X-tile project was used to obtain a threshold, considering the composite outcome of 1-year all-cause mortality or readmission. A restricted cubic spline (RCS) was performed to test the non-linear relationship between the EQ-5D utility value and the primary outcome. Six multivariate Cox regression models incorporating EQ-5D utility value and each of the five domains were constructed. Setting/Participants: Totally, 420 patients with cirrhosis were recruited. Results: The median utility value of the study population was 0.77 and 59.8% reported impairment in minimal one EQ-5D domain. RCS indicated a linear relationship between the utility value and composite inferior outcome. X-tile pinpointed a utility value of 0.59 stratifying populations into high- and low-risk groups based on the outcome. Inpatients with cirrhosis and deteriorated HRQoL (utility value ≤0.59) were at higher risk of death or readmission (adjusted HR: 2.18, P < 0.001). Furthermore, mobility and usual activities were the most pronounced domains associated with composite inferior outcome. Conclusion: A utility value ≤0.59 can identify cirrhotic inpatients exhibiting compromised HRQoL and mortality/readmission risk. It is tempting to reverse the decreased HRQoL by applying longitudinal measurements and keeping surveillance on utility value, while interventions appear to mainly focus on improving mobility and usual activities.

Health-related quality of life and frailty in liver cirrhosis.

BACKGROUND AND OBJECTIVES: There is limited evidence concerning the predictive value of health-related quality of life (HRQoL) on the presence of frailty in the context of cirrhosis. We aimed to elucidate the relationship between HRQoL and multidimensional frailty and to determine which HRQoL dimension independently impacted frail phenotype in our established cohort. METHODS: This was a prospective observational study by consecutively enrolling 355 patients with cirrhotic with decompensated signs in China. The HRQoL and frail phenotype were evaluated by the EuroQol-5D (EQ-5D) Questionnaire and Frailty Index, respectively. The relationship between EQ-5D utility index, as well as respective EQ-5D dimension, and Frailty Index was analysed according to the multiple linear regression analyses. RESULTS: More than half of the patients (56.3%) reported problems in any dimension of the EQ-5D, suggestive of impaired HRQoL. Moreover, the proportion of patients experiencing some/extreme problems significantly increased across all five dimensions (all p<0.001) in correspondence to transition from the robust to frail phenotype. Multiple linear regression analyses demonstrated that age, ascites and hepatic encephalopathy were positively associated with Frailty Index, while EQ-5D utility index (standardised ß coefficient= -0.442, p<0.001) negatively associated with Frailty Index. Notably, usual activities, self-care and mobility were the most influencing predictors associated with frailty. CONCLUSIONS: Our results support a rapid HRQoL assessment via EQ-5D may assist in predicting multidimensional frailty, and usual activities, self-care and mobility tend to be remediable targets while taking their effect on frail phenotype into consideration among patients with cirrhosis.

Impact of manufacturing processes on glycerolipid and polar lipid composition and ultrastructure in infant formula.

The introduction of exogenous lipids in the production of infant formula induces significant alterations in milk lipid composition, content, and membrane structure, thus affecting the lipid digestion, absorption, and utilization. This study meticulously tracks these changes throughout the manufacturing process. Pasteurization has a significant effect on phosphatidylcholine and sphingomyelin in the outer membrane, decreasing their relative contents to total polar lipids from 12.52% and 17.34% to 7.72% and 12.59%, respectively. Subsequent processes, including bactericidal-concentration and spray-drying, demonstrate the thermal stability of sphingomyelin and ceramides, while glycerolipids with arachidonic acid/docosahexaenoic acid and glycerophospholipids, particularly phosphatidylethanolamine, diminish significantly. Polar lipids addition and freeze-drying technology significantly enhance the polar lipid content and improve microscopic morphology of infant formula. These findings reveal the diverse effects of technological processes on glycerolipid and polar lipid compositions, concentration, and ultrastructure in infant formulas, thus offering crucial insights for optimizing lipid content and structure within infant formula.

Three robust Cd(II) coordination polymers as bifunctional luminescent probes for efficient detection of pefloxacin and Cr2O72- in water.

The accurate and rapid detection of antibiotics and heavy-metal-based toxic oxo-anions in water media employing coordination polymers (CPs) as luminescent probes has attracted a lot of attention. Three new Cd(II)-based ternary CPs derived from first-presented L ligands, including [Cd(DCTP)(L)(OH)]n (1), [Cd(TBTA)(L)(OH)]n (2), and [Cd(NPHT)(L)(H2O)]n (3) (L = 2-((1H-imidazol-1-yl)methyl)-5,6-dimethyl-1H-benzo[d]imidazole, H2DCTP = 2,5-dichloroterephthalic acid, H2TBTA = tetrabromoterephthalic acid and H2NPHT = 3-nitrophthalic acid), were successfully assembled and characterized. 1 and 2 show 2D hcb layers, which can be further extended into a 3D supramolecular framework via classic hydrogen bonding interactions. 3 features a 1D double chain that ultimately spreads into a 2D network through weak hydrogen bonding interactions. With the advantages of high stability and excellent luminescent properties, the three CPs display high sensitivity, selectivity, and good anti-interference for the sensing of pefloxacin (PEF) and Cr2O72- ions (LOD values toward PEF: 3.82 × 10-7 mol L-1 for 1, 4.06 × 10-7 mol L-1 for 2, and 1.36 × 10-8 mol L-1 for 3, and toward Cr2O72- ions: 5.97 × 10-7 mol L-1 for 1, 5.87 × 10-7 mol L-1 for 2, and 8.21 × 10-8 mol L-1 for 3). These CPs are the first examples of bifunctional luminescent sensors to detect PEF and Cr2O72- in aqueous solutions. The luminescence quenching mechanisms are explored in detail.

Effects of lipids from multiple sources on glyceride composition, concentration, and structure of infant formulas benchmarked to human milk.

The important parameters affecting the nutritional properties of lipids were analyzed and compared between human milk (HM), infant formulas (IFs), mammalian milk, and substitute fat, including molecular species, fatty acid composition, glyceride content, and important structural triacylglycerols (TAGs). The molecular species of triacylglycerols with functional fatty acids were significantly different between HM and IFs, and their contents in HM were significantly higher than those in IFs. Accordingly, the evaluation scores of fatty acid composition and glyceride content in IFs were less than 50 compared to HM. Although the introduction of vegetable oils effectively improved the unsaturation of IF lipid, the excessive addition of TAGs rich in oleic and linoleic acid resulted in an imbalance of TAG composition and structure. Only 36.84 % of IFs were supplemented with structured lipids, but those still lacked sn-2 palmitate TAGs. The adoption of multiple lipids and novel processing technologies is required for novel IFs to match the composition, content, positional structure and spherical membrane structure of HM as closely as possible.

Reduced muscle strength is closely linked to computed tomography-defined myosteatosis among inpatients with cirrhosis.

BACKGROUND: Myosteatosis indicates pathological fat infiltration in muscles and is regarded as a distinct disease from sarcopenia. This muscular condition exhibits a link to muscle fiber disarrangement coinciding with disrupted muscle contractility and weakened mechanical action, mirrored as decreased muscle quality. However, the relationship between handgrip strength (HGS) and computed tomography-defined myosteatosis among cirrhosis is unclear. We aimed to investigate the association between HGS and myosteatosis and determine gender-specific cutoffs regarding HGS to identify myosteatotic subjects. METHODS: We prospectively recruited 221 cirrhotic patients. The presence of myosteatosis was determined according to intramuscular adipose tissue content. The relationship between HGS and myosteatosis was evaluated according to Spearman correlation coefficient, area under the ROC curve, and multivariate logistic regression analysis. Moreover, a model based on the classification and regression tree method was generated. RESULTS: Our results showed that HGS exhibits modestly negative correlation with intramuscular adipose tissue content in the entire cohort (rs = -0.269, P < .001) and across diverse subgroups precluding extremely deteriorating conditions. After controlling for multiple clinical features and biochemical parameters, HGS (odds ratio = 0.921, P = .010) was independently associated with myosteatosis in addition to age and body mass index. On applying the Japan Society of Hepatology-recommended cutoffs, an area under the ROC curve of HGS was 0.627 with a sensitivity of 77.4% and a specificity of 47.9%. The decision tree including body mass index and low HGS correctly classified ~85% of the cases in development and validation sets. CONCLUSIONS: HGS was in close relation to myosteatosis among inpatients with cirrhosis.

Coexistent GLIM-Defined Malnutrition and Sarcopenia Increase the Long-Term Mortality Risk in Hospitalized Patients with Decompensated Cirrhosis.

INTRODUCTION: The synergistic impact of coexistent malnutrition and sarcopenia on morality in hospitalized patients with decompensated cirrhosis remains elusive. This prospective cohort study aimed to delineate the prevalence concerning coexistence of malnutrition and sarcopenia and the prognosticating role on long-term mortality among cirrhosis. METHODS: Adult cirrhotic patients with decompensated episodes between 2019 and 2021 were consecutively enrolled. Malnutrition and sarcopenia were diagnosed according to the Global Leadership Initiative on Malnutrition (GLIM) criteria and the European Working Group on Sarcopenia in Older People (EWGSOP2) algorithm, respectively. The entire cohort was divided into three groups: non-malnutrition and non-sarcopenia (NN), malnutrition or sarcopenia, and coexistent malnutrition and sarcopenia (MS). Log-rank test and multivariate Cox regression model were utilized to evaluate survival status and independent risk factors for mortality, respectively. RESULTS: Our findings indicated that malnutrition manifested in 44.6% of inpatients with decompensated cirrhosis, while sarcopenia presented in 16.4% of the entire cohort, indicative of a prevalence of 14.7% regarding coexistent malnutrition and sarcopenia. The Kaplan-Meier graphic demonstrated a significant difference regarding survival curves among the three groups, referring to the MS group presented with the lowest survival rate (log-rank test: p < 0.001). Moreover, coexistent malnutrition and sarcopenia were associated with nearly 4 times higher mortality risk (model 1: hazard ratio [HR] = 3.31, 95% confidence interval [CI]: 1.20-9.13, p = 0.020; model 2: HR = 4.34, 95% CI: 1.52-12.4, p = 0.006) in comparison with patients without any condition (NN group). CONCLUSIONS: Malnutrition and sarcopenia had superimposed negative impacts on inpatients with decompensated cirrhosis. It is imperative to identify this vulnerable subset to provide prompt therapeutic intervention for better prognosis.

Maize seed appearance quality assessment based on improved Inception-ResNet.

Current inspections of seed appearance quality are mainly performed manually, which is time-consuming, tedious, and subjective, and creates difficulties in meeting the needs of practical applications. For rapid and accurate identification of seeds based on appearance quality, this study proposed a seed-quality evaluation method that used an improved Inception-ResNet network with corn seeds of different qualities. First, images of multiple corn seeds were segmented to build a single seed image database. Second, the standard convolution of the Inception-ResNet module was replaced by a depthwise separable convolution to reduce the number of model parameters and computational complexity of the network. In addition, an attention mechanism was applied to improve the feature learning performance of the network model and extract the best image information to express the appearance quality. Finally, the feature fusion strategy was used to fuse the feature information at different levels to prevent the loss of important information. The results showed that the proposed method had decent comprehensive performance in detection of corn seed appearance quality, with an average of 96.03% for detection accuracy, 96.27% for precision, 96.03% for recall rate, 96.15% for F1 value of reconciliation, and the average detection time of an image was about 2.44 seconds. This study realized rapid nondestructive detection of seeds and provided a theoretical basis and technical support for construction of intelligent seed sorting equipment.

Applications and Prospects of Artificial Intelligence-Assisted Endoscopic Ultrasound in Digestive System Diseases.

Endoscopic ultrasound (EUS) has emerged as a widely utilized tool in the diagnosis of digestive diseases. In recent years, the potential of artificial intelligence (AI) in healthcare has been gradually recognized, and its superiority in the field of EUS is becoming apparent. Machine learning (ML) and deep learning (DL) are the two main AI algorithms. This paper aims to outline the applications and prospects of artificial intelligence-assisted endoscopic ultrasound (EUS-AI) in digestive diseases over the past decade. The results demonstrated that EUS-AI has shown superiority or at least equivalence to traditional methods in the diagnosis, prognosis, and quality control of subepithelial lesions, early esophageal cancer, early gastric cancer, and pancreatic diseases including pancreatic cystic lesions, autoimmune pancreatitis, and pancreatic cancer. The implementation of EUS-AI has opened up new avenues for individualized precision medicine and has introduced novel diagnostic and treatment approaches for digestive diseases.

Rapid appearance quality of rice based on machine vision and convolutional neural network research on automatic detection system.

Introduction: In the process of rice production and storage, there are many defects in the traditional detection methods of rice appearance quality, but using modern high-precision instruments to detect the appearance quality of rice has gradually developed into a new research trend at home and abroad with the development of agricultural artificial intelligence. Methods: In this study, we independently designed a fast automatic rice appearance quality detection system based on machine vision technology by introducing convolutional neural network and image processing technology. In this study, NIR and RGB images were generated into five-channel image data by superposition function, and image are preprocessed by combining the Watershed algorithm with the Otus adaptive threshold function. Different grains in the samples were labeled and put in the convolutional neural network for training. The rice grains were classified and the phenotype data were analyzed by selecting the optimal training model to realize the detection of rice appearance quality. Results and discussion: The experimental results showed that the resolution of the system could reach 92.3%. In the detection process, the system designed with this method not only reduces the subjectivity problems caused by different detection environments, visual fatigue caused large sample size and the inspector's personal factors, but also significantly improves the detection time and accuracy, which further enhances the detection efficiency of rice appearance quality, and has positive significance for the development of the rice industry.

Association between serum trace elements and sleep disturbance in patients with decompensated cirrhosis.

Background: Sleep disturbance and trace elements imbalance are common features in patients with decompensated cirrhosis, partially sharing similar mechanistic contributors and linking to adverse outcomes. However, there is a paucity of data concerning their relationship. Objectives: To investigate the association between serum trace elements levels and sleep quality in the context of cirrhosis. Design: Cross-sectional study. Methods: We consecutively enrolled 160 patients with decompensated cirrhosis. The sleep disturbance was determined by the Pittsburgh Sleep Quality Index (PSQI > 5). Serum trace elements [magnesium, calcium, iron, copper (Cu), zinc (Zn), lead, and manganese] was measured by inductively coupled plasma mass spectrometry. Association of examined trace elements levels and sleep disturbance was analyzed by multiple linear (global PSQI scores) and multivariate logistic (dichotomized PSQI categories) regression models, respectively. Results: In total, 91 patients (56.88%) represented PSQI-defined sleep disturbance, characterized by female preponderance, lower body mass index levels, and higher serum Cu levels (all p < 0.05). Looking into its clinical relevance with debilitating conditions, we showed that Cu/Zn ratio (CZr) is significantly higher in cirrhosis with poor sleep quality (1.77 versus 1.48, p = 0.003). Diagnostic performance analysis indicated CZr > 1.62 to exhibit better discrimination relative to respective Cu. Both multiple linear (ß = 0.355, p < 0.001) and multivariate logistic regression (odds ratio = 2.364, p = 0.019) identified higher CZr as an independent risk factor associated with sleep disturbance. Conclusion: Our findings implied an association between higher CZr and the presence of sleep disturbance in patients with decompensated cirrhosis.

Genipin protects against acute liver injury by abrogating ferroptosis via modification of GPX4 and ALOX15-launched lipid peroxidation in mice.

It is essential to further characterize liver injury aimed at developing novel therapeutic approaches. This study investigated the mechanistic basis of genipin against carbon tetrachloride (CCl4)-triggered acute liver injury concerning ferroptosis, a novel discovered modality of regulated cell death. All experiments were performed using hepatotoxic models upon CCl4 exposure in mice and human hepatocytes in vitro. Immunohistochemistry, immunoblotting, molecular docking, RNA-sequencing and ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) were conducted. CCl4 intoxication was manifested with lipid peroxidation-dictated ferroptotic cell death, together with changes in a cascade of ferroptosis-associated events and several regulatory pathways. Both the administration of genipin and ferrostatin-1 (Fer-1) significantly prevented this hepatotoxicity in response to CCl4 intoxication via upregulating GPX4 and xCT (i.e., critical regulators of ferroptosis). RNA-sequencing unraveled that arachidonic acid metabolism was considerably influenced upon genipin treatment. Accordingly, genipin treatment attenuated arachidonate 15-lipoxygenase (ALOX15)-launched lipid peroxidation in terms of UHPLC-MS/MS analysis and inflammation. In vitro, genipin supplementation rescued erastin-induced hepatocellular inviability and lipid ROS accumulation. The siRNA knockdown of GPX4 partially abrogated the protective effects of genipin on erastin-induced cytotoxicity, whereas the cytotoxicity was less severe in the presence of diminished ALOX15 expression in L-O2 cells. In conclusion, our findings uncovered that genipin treatment protects against CCl4-triggered acute liver injury by abrogating hepatocyte ferroptosis, wherein the pharmacological modification of dysregulated GPX4 and ALOX15-launched lipid peroxidation was responsible for underlying medicinal effects as molecular basis.

Handgrip strength is a substitutive metric to the GLIM criteria-defined malnutrition and predicts long-term mortality among hospitalized patients with cirrhosis.

BACKGROUND: Hospitalized patients with cirrhosis are prone to debilitating health conditions and fluid fluctuations, posing barriers to accurately obtain anthropometric measures and physical examinations as surrogates for muscle mass within the Global Leadership Initiative on Malnutrition (GLIM). We hypothesize the handgrip strength (HGS) would serve as a substitutive metric, by comparing the diagnostic consistency and prognostic accuracy with computed tomography-demarcated skeletal muscle index (SMI)-defined malnutrition according to the GLIM criteria. METHODS: Patients with cirrhosis underwent a two-step approach involving nutrition risk screening and those fulfilling GLIM consensus were further diagnosed. The evaluation of muscle mass as one constituent contained in the GLIM criteria was conducted by SMI and HGS, respectively. Consistency test, Kaplan-Meier curve, and multivariate Cox regression were used to assess the performance of GLIM-SMI and GLIM-HGS. RESULTS: Among 184 hospitalized patients with cirrhosis, 63 (34.2%) and 78 (42.4%) were diagnosed with malnutrition following GLIM-SMI and GLIM-HGS criteria, respectively. Considering the GLIM-SMI a gold standard, GLIM-HGS had a sensitivity of 87.3% and a specificity of 81.0%. GLIM-HGS criteria denoted good agreement (κ value = 0.858, P < 0.001) as compared with GLIM-SMI. Both criteria were independently associated with 1-year all-cause mortality, whereas GLIM-SMI showed slightly higher hazard ratios. Moreover, HGS positively correlated with SMI in the population alongside more pronounced correlation among patients at nutrition risk. CONCLUSION: HGS may serve as a substitutive metric of muscle mass contained in the GLIM criteria to diagnose malnutrition and predict long-term mortality among patients with cirrhosis.

Efficacy of endoscopic ultrasound and endoscopic resection for esophageal schwannoma.

BACKGROUND: Esophageal schwannoma (ES) is a rare submucosal tumor, and its complete and safe resection is a topic that deserves special attention. AIM: This study aimed to investigate the clinical value of endoscopic ultrasound (EUS) in the diagnosis of ES and the clinical efficacy of endoscopic resection for ES. METHODS: The clinical data, endoscopic characteristics, endoscopic treatment, postoperative complications, immunohistochemical results, and follow-up records of patients with ES admitted to the Tianjin Medical University General Hospital from January 2012 to January 2022 were retrospectively analyzed. RESULTS: Under white-light endoscopy, 81.8% (9/11) of lesions were submucosal elevations, covering the normal esophageal epithelium. Two of the lesions with redness and erosive surface. Eight lesions (72.7%) appear on EUS originating from the muscularis propria were homogeneous or inhomogeneous hypoechoic signals. Two lesions were inhomogeneous hyperechoic originating from the submucosa or muscularis propria, respectively. One lesion was homogeneous hypoechoic originating from the submucosa. All lesions had no blood flow signals, cystic changes, or calcification, and were completely removed by submucosal tunnel endoscopic resection (STER) or endoscopic submucosal dissection (ESD). All patients did not experience serious adverse events as well as recurrence, metastasis, or cicatricial esophageal stenosis during the follow-up period. CONCLUSION: ES is a rare submucosal lesion, which endoscopic characteristics are difficult to distinguish from other esophageal submucosal tumors. Endoscopic resection can provide a minimally invasive and alternative treatment for ES.

Dissecting the Contributing Role of Divergent Adipose Tissue to Multidimensional Frailty in Cirrhosis.

Background and Aims: Emerging evidence has demonstrated that abnormal body composition may potentiate the development of frailty, whereas little work focuses on the role of divergent adipose tissue. Therefore, we aimed to determine the potential contribution of adipose tissue distribution to multidimensional frailty in decompensated cirrhosis. Methods: We conducted a retrospective cohort study. Divergent adipose tissues were assessed by computed tomography-derived subcutaneous adipose tissue index (SATI), visceral adipose tissue index (VATI) and total adipose tissue index (TATI), respectively. Frailty was identified by our validated self-reported Frailty Index. Multiple binary logistic models incorporating different covariates were established to assess the relationship between adipose tissue distribution and frailty. Results: The study cohort comprised 245 cirrhotic patients with 45.3% being male. The median Frailty Index, body mass index (BMI) and model for end-stage liver disease (MELD) score were 0.11, 24.3 kg/m2 and 8.9 points, respectively. In both men and women, patients who were frail exhibited lower levels of SATI in comparison with nonfrail patients. SATI inversely correlated with Frailty Index in the entire cohort (rs=-0.1361, p=0.0332). Furthermore, SATI or TATI was independently associated with frail phenotype in several multiple logistic regression models adjusting for age, BMI, presence of ascites, sodium, Child-Pugh class or MELD score in isolation. Conclusions: In the context of decompensated cirrhosis, low SATI and concomitant TATI were associated with higher risk of being frail. These findings highlight the importance to further apply tissue-specific tools of body composition in place of crude metric like BMI.

The relationship between patient-reported health-related quality of life and malnutrition risk in cirrhosis: an observational cohort study.

Patients with cirrhosis experience worse health-related quality of life (HRQoL), and attempts are warranted further exploration of modifiable factors to improve HRQoL. Data on the impact of malnutrition risk on HRQoL among cirrhosis are limited; thus, we aimed to strengthen understanding by clarifying the relationship between nutritional status and low HRQoL in patients with decompensated cirrhosis. Consecutive inpatients with cirrhosis attending our department within a tertiary hospital were studied. Generic health profiles and malnutrition risk were evaluated by the EuroQol-5D (EQ-5D) and Royal Free Hospital-Nutritional Prioritizing Tool (RFH-NPT) score, respectively. Multiple linear regression analysis was used to determine association of malnutrition risk with low HRQoL. In this cohort of 364 patients with median age of 64 years and 49·5 % male, 55·5 % of the study population reported impairment pertinent to HRQoL in at least one dimension in terms of the EQ-5D. Moreover, malnutrition risk (RFH-NPT score: ß coefficient = -0·114, P = 0·038) was proved to be independently associated with poor HRQoL in multiple analysis, after adjustment for significant variables like age, BMI and markers of decompensation. Notably, we found that health dimensions representing physical function (i.e. mobility, self-care and usual activities) are substantially affected, while malnourished patients reported less frequencies of complaints in other domain such as anxiety/depression. In conclusion, the risk of malnutrition assessed by the RFH-NPT score is independently associated with low HRQoL. It is operational to improve HRQoL by identifying patients at high malnutrition risk and providing timely nutrition treatment.

Serum Ferritin Has Limited Prognostic Value on Mortality Risk in Patients with Decompensated Cirrhosis: A Propensity Score Matching Analysis.

OBJECTIVE: The prognostic value of serum ferritin remains elusive in the literature. We aimed to examine the association between serum ferritin and mortality risk in cirrhosis. METHODS: A total of 257 cirrhotic patients were recruited. The cut-off of serum ferritin was determined by X-tile. The Cox regression and Kaplan-Meier method were used. A 1:1 propensity score matching (PSM) was performed to diminish the impacts of selection bias and possible confounders. RESULTS: The difference regarding mortality was mostly significant for serum ferritin >158 ng/mL. Before PSM, serum ferritin >158 ng/mL was an independent predictor of mortality. However, the clinical relevance of high ferritin level for prognostication was blunted after PSM (survival rate: 86.8% vs 96.3%, P = .078). Cox regression indicated that model for end-stage liver disease remains only independent risk factor of 180-day mortality after PSM. CONCLUSION: Serum ferritin may not serve as an independent prognostic indicator of mortality risk in decompensated cirrhotic patients.

Preliminary MRI Study of Extracellular Volume Fraction for Identification of Lymphovascular Space Invasion of Cervical Cancer.

BACKGROUND: Lymphovascular space invasion (LVSI) is a risk factor for poor prognosis of cervical cancer. Preoperative identification of LVSI is very difficult. PURPOSE: To evaluate the potential of extracellular volume (ECV) fraction based on T1 mapping in preoperative identification of LVSI in cervical cancer compared with dynamic contrast-enhanced MRI (DCE-MRI). STUDY TYPE: Retrospective. SUBJECTS: A total of 79 patients (median age 54 years) with cervical cancer were classified into LVSI group (n = 29) and without LVSI group (n = 50) according to postoperative pathology. FIELD STRENGTH/SEQUENCE: A 3-T, noncontrast and contrast-enhanced T1 mapping performed with volume interpolated breath hold examination (VIBE) sequence, DCE-MRI applied with 3D T1-weighted VIBE sequence. ASSESSMENT: Regions of interest along the medial edge of the lesion were drawn on slices depicting the maximum cross-section of the tumor. The noncontrast and contrast-enhanced T1 value of the tumor and arteries in the same slice were measured, and ECV was calculated from T1 values. The parametric maps (Ktrans , kep , and ve ) derived from DCE-MRI standard Toft's model were evaluated. STATISTICAL TESTS: ECV, Ktrans , kep , and ve between groups with and without LVSI were compared using Student's t-test. The receiver operating characteristic (ROC) curve and DeLong test were used to evaluate and compare the diagnostic performance of ECV, Ktrans , kep , and ve for differentiating LVSI. P < 0.05 was considered statistically significant. RESULTS: The ECV and Ktrans of the LVSI group were significantly higher than that of non-LVSI group (52.86% vs. 36.77%, 0.239 vs. 0.176, respectively), and no significant differences in Kep or ve values were observed (P = 0.071 and P = 0.168, respectively). The ECV fraction showed significantly higher area under ROC curve than Ktrans for differentiating LVSI (0.874 vs. 0.655, respectively). DATA CONCLUSION: ECV measurements based on T1 mapping might improve the discrimination between patients with and without LVSI in cervical cancer, showing better performance for this purpose than DCE-MRI. EVIDENCE LEVEL: 2 TECHNICAL EFFICACY: Stage 2.