Computational assessment and in vitro test of phytochemicals of Usnea aciculifera as potential inhibitors of Escherichia coli efflux pump AcrB.

Lichens produce secondary metabolites that have many pharmaceutical activities such as antimicrobial, antioxidant, antiviral, anticancer, antigenotoxic, anti-inflammatory, analgesic and antipyretic activities. However, there is limited research on their efflux pump inhibitory activities. Twelve phytochemicals were isolated from Usnea aciculifera, and their activity of AcrAB-TolC efflux pump inhibition was evaluated. Four potential compounds, which are diffractaic acid (2), 8' -O- methylstictic acid (5), 3-hydroxy-4-(methoxycarbonyl)-2,5-dimethylphenyl 2,4-dimethoxy-3,6-dimethylbenzoate (8) and 3-hydroxy-4-(methoxycarbonyl)-2,5-dimethylphenyl 2-hydroxy-4-methoxy-3,6-dimethylbenzoate (9), were found by virtual screening using pharmacophore and 2D-QSAR model. Compound 8 exhibited AcrB inhibition activity in vitro with an accumulation H33342 percentage compared with untreated control of 202% at a concentration of 50 µM and increased the antibacterial activity of levofloxacin by four-fold at a concentration of 200 µM. By molecular docking and molecular dynamics (MD) simulation, the binding affinity of depside and depsidone derivatives to AcrB was also clarified. Despite the poor docking score to the AcrB binding site, compound 8 was the most stable among the four complexes at 20 ns of MD simulation. The analysis of long MD at 100 ns indicated that compound 8 interacts strongly with the residues in the distal pocket, creating a stable complex with ΔGbind of -31.51 kcal.mol-1. According to the ADMETlab 2.0 web server's predictions of pharmacokinetics and toxicities, compound 8 has the potential for drug development.Communicated by Ramaswamy H. Sarma.

Economic burden of Thalassemia treatment: An analysis from the Vietnam Social Security perspective.

OBJECTIVES: Thalassemia is a genetic disorder that significantly impacts the health and well-being of individuals in Vietnam. This study aimed to assess the economic burden of Thalassemia treatment in Lam-Dong Province from the perspective of the Vietnam Social Security and to develop a model to forecast these costs. METHODS: This study analyzed the medical records of all 288 health-insured Thalassemia patients who received treatment in Lam-Dong Province from 2019-2021. The annual economic burden was calculated as the total direct medical cost of treatment per patient over one year. Bayesian Model Averaging (BMA) was utilized to forecast economic burdens. The best fit model was selected based on evaluation criteria including the R2 value, the Bayesian information criterion (BIC), and posterior model probabilities. RESULTS: The study found that the average annual economic burden of Thalassemia treatment was VND 9,947,000 (±6,854,000), equivalent to approximately USD 426.7 (±294.0), with blood transfusions being the main contributor to costs (63%). Using BMA, the best fit model to forecast economic burdens included variables including patient age, sex, and length of hospitalization, with age being the key factor with the greatest impact on the increase in economic burden. CONCLUSION: These findings provided important information for policymakers in Vietnam, as they highlighted the significant economic burden of Thalassemia treatment in the country. By developing a model to forecast these costs, policymakers can make informed decisions on how to allocate resources and support individuals with Thalassemia and their families.

Hydrogen Bonding Parameters by Rapid Colorimetric Assessment: Evaluation of Structural Components Found in Biological Ligands and Organocatalysts.

Hydrogen bonding is a key molecular interaction in biological processes, drug delivery, and catalysis. This report describes a high throughput UV-Vis spectroscopic method to measure hydrogen bonding capacity using a pyrazinone sensor. This colormetric sensor reversibly binds to a hydrogen bond donor, resulting in a blue shift as additional equivalents of donor are added. Titration with excess equivalents of donor is used to determine the binding coefficient, ln(Keq ). Over 100 titrations were performed for a variety of biologically relevant compounds. This data enabled development a multiple linear regression model that is capable of predicting 95 % of ln(Keq ) values within 1 unit, allowing for the estimation of hydrogen bonding affinity from a single measurement. To show the effectiveness of the single point measurements, hydrogen bond strengths were obtained for a set of carboxylic acid bioisosteres. The values from the single point measurements were validated with full titrations.

A new integrated circular economy index and a combined method for optimization of wood production chain considering carbon neutrality.

The wood industry is potentially advantageous to applying the concepts of circular economy for sustainable development and can contribute to the commitment of carbon neutrality. This study developed an integrated circular economy index based on five different quantitative indicators for assessment of the wood production chain: heat recovery rate, CO2 sequestration rate, fossil fuel substitution rate, renewable electricity usage rate, and revenue increase from the by-products. A combination of best-worst method (BWM) and linear goal programming (LGP) techniques was investigated to develop an optimal circular economy model of wood processing chain for reduction in CO2 emission. The integrated circular economy index and the combined method were tested in a case-study of a rubberwood processing chain in Vietnam. The proposed model suggests that the woodchips and biomass from the harvesting and processing of rubberwood could be collected and treated using microwave thermolysis techniques; the enzyme hydrolysis technique is appropriate for bioethanol and biomethane recovery from the sawdust; and the hot air technique is preferable in the drying process. The proposed model could result in a significant reduction of the total net carbon emission from +552,750 tons CO2eq to -1,145,940 tons CO2eq per year. This could support the achievement of Vietnam's zero CO2 emission goal and hopefully contribute to the country's commitment to carbon emission neutrality by the year 2050.

Mangrove health assessment using spatial metrics and multi-temporal remote sensing data.

Mangrove forest plays a very important role for both ecosystem services and biodiversity conservation. In Vietnam, mangrove is mainly distributed in the Mekong delta. Recently, mangrove areas in this region decreased rapidly in both quality and quantity. The forest became bare, divided and scattered into many small patches, which was a major driver of ecosystem degradation. Without a quantitative method for effectively assessing mangrove health in the regional scale, the sustainably conserving mangrove is the challenge for the local governments. Remote sensing data has been widely used for monitoring mangrove distributions, while the characterization of spatial metrics is important to understand the underlying processes of mangrove change. The objectives of this study were to develop an approach to monitor mangrove health in Mui Ca Mau, Ca Mau province of Vietnam by utilizing satellite image textures to assess the mangrove patterns. The research result showed that mangrove areas increased double by 2015, but the forest had become more fragmented. We can be seen those changes in land use mainly come from land conversion from forest to shrimp farms, settlements areas and public constructions. The conserving existing mangrove forest in Mui Ca Mau should consider the relations between mangrove health and influencing factors indicated in the manuscript.

Development of Vang Danh anthracite as a cost-effective anode for sodium-ion batteries through a heat-treatment process.

This study focuses on the effects of the chemical process and heating time at 900 °C on pristine anthracite coal (provided by Vang Danh coal, Quang Ninh province, Vietnam) and explores its structure and electrochemical performance when used as an anode in Na-ion batteries. After chemical treatment with NaOH and H2SO4, the impurity content in the raw material decreased significantly (e.g., ash content dropped from 4.4% to 0.9%, etc.). The interspacing between the graphene layers in the anthracite structure also increased after the heat treatment. Besides, on extending the heating time, the anthracite structure became more disordered than the samples heated for shorter times. Therefore, the intercalation ability of Na+ ions in the anthracite structure increased, and the sample heated at 900 °C for 6 hours exhibited the highest reversible capacity of up to 160 mA h g-1 with adequate capacity retention after 100 cycles at C/10 rate.

Effects of social organization and elevation on spatial genetic structure in a montane ant.

Studying patterns of population structure across the landscape sheds light on dispersal and demographic processes, which helps to inform conservation decisions. Here, we study how social organization and landscape factors affect spatial patterns of genetic differentiation in an ant species living in mountainous regions. Using genome-wide SNP markers, we assess population structure in the Alpine silver ant, Formica selysi. This species has two social forms controlled by a supergene. The monogyne form has one queen per colony, while the polygyne form has multiple queens per colony. The two social forms co-occur in the same populations. For both social forms, we found a strong pattern of isolation-by-distance across the Alps. Within regions, genetic differentiation between populations was weaker for the monogyne form than for the polygyne form. We suggest that this pattern is due to higher dispersal and effective population sizes in the monogyne form. In addition, we found stronger isolation-by-distance and lower genetic diversity in high elevation populations, compared to lowland populations, suggesting that gene flow between F. selysi populations in the Alps occurs mostly through riparian corridors along lowland valleys. Overall, this survey highlights the need to consider intraspecific polymorphisms when assessing population connectivity and calls for special attention to the conservation of lowland habitats in mountain regions.

Enhanced precision of real-time control photothermal therapy using cost-effective infrared sensor array and artificial neural network.

Photothermal therapy (PTT) requires tight thermal dose control to achieve tumor ablation with minimal thermal injury on surrounding healthy tissues. In this study, we proposed a real-time closed-loop system for monitoring and controlling the temperature of PTT using a non-contact infrared thermal sensor array and an artificial neural network (ANN) to induce a predetermined area of thermal damage on the tissue. A cost-effective infrared thermal sensor array was used to monitor the temperature development for feedback control during the treatment. The measured and predicted temperatures were used as inputs of fuzzy control logic controllers that were implemented on an embedded platform (Jetson Nano) for real-time thermal control. Three treatment groups (continuous wave = CW, conventional fuzzy logic = C-Fuzzy, and ANN-based predictive fuzzy logic = P-Fuzzy) were examined and compared to investigate the laser heating performance and collect temperature data for ANN model training. The ex vivo experiments validated the efficiency of fuzzy control with temperature method on maintaining the constant interstitial tissue temperature (80 ± 1.4 °C) at a targeted surface of the tissue. The linear relationship between coagulation areas and the treatment time was indicated in this study, with the averaged coagulation rate of 0.0196 cm2/s. A thermal damage area of 1.32 cm2 (diameter ∼1.3 cm) was observed under P-Fuzzy condition for 200 s, which covered the predetermined thermal damage area (diameter ∼1 cm). The integration of real-time feedback temperature control with predictive ANN could be a feasible approach to precisely induce the preset extent of thermal coagulation for treating papillary thyroid microcarcinoma.

Investigation of ANN architecture for predicting the compressive strength of concrete containing GGBFS.

An extensive simulation program is used in this study to discover the best ANN model for predicting the compressive strength of concrete containing Ground Granulated Blast Furnace Slag (GGBFS). To accomplish this purpose, an experimental database of 595 samples is compiled from the literature and utilized to find the best ANN architecture. The cement content, water content, coarse aggregate content, fine aggregate content, GGBFS content, carboxylic type hyper plasticizing content, superplasticizer content, and testing age are the eight inputs in this database. As a result, the optimal selection of the ANN design is carried out and evaluated using conventional statistical metrics. The results demonstrate that utilizing the best architecture [8-14-4-1] among the 240 investigated architectures, and the best ANN model, is a very efficient predictor of the compressive strength of concrete using GGBFS, with a maximum R2 value of 0.968 on the training part and 0.965 on the testing part. Furthermore, a sensitivity analysis is performed over 500 Monte Carlo simulations using the best ANN model to determine the reliability of ANN model in predicting the compressive strength of concrete. The findings of this research may make it easier and more efficient to apply the ANN model to many civil engineering challenges.

Development of a robust blood smear preparation procedure for external quality assessment.

INTRODUCTION: The external quality assessment (EQA) scheme is particularly important for laboratory performance evaluation. Peripheral blood smears are necessary to identify morphological features, and the procedure for preparing such smears must be robust to meet the ISO 15189 standard. Although blood smear preparation is a routine activity in medical laboratories, an appropriate procedure for preparing a series of blood smears with high homogeneity and durable stability for EQA purposes has not yet been published elsewhere. For this reason, a robust procedure was developed and validated in this study. METHODS: Various factors affecting blood smear preparation, such as the amount of time collected blood samples are stored before fixation, suitable reagents, and specification parameters for each step, including fixation, staining, and timing of the staining steps, were studied. Each experiment was evaluated based on homogeneity and stability characteristics. RESULTS: Whole blood mixed with EDTA anticoagulant was used to make the blood smears. Samples were fixed with pure anhydrous alcohol and stained in Coplin jars using the Wright-Giemsa method. CONCLUSION: The homogeneity and stability of two lots of smears suitable for EQA purposes was confirmed based on intact morphology of the smears for more than 8 months at room temperature.

Investigation of ANN architecture for predicting shear strength of fiber reinforcement bars concrete beams.

In this paper, an extensive simulation program is conducted to find out the optimal ANN model to predict the shear strength of fiber-reinforced polymer (FRP) concrete beams containing both flexural and shear reinforcements. For acquiring this purpose, an experimental database containing 125 samples is collected from the literature and used to find the best architecture of ANN. In this database, the input variables consist of 9 inputs, such as the ratio of the beam width, the effective depth, the shear span to the effective depth, the compressive strength of concrete, the longitudinal FRP reinforcement ratio, the modulus of elasticity of longitudinal FRP reinforcement, the FRP shear reinforcement ratio, the tensile strength of FRP shear reinforcement, the modulus of elasticity of FRP shear reinforcement. Thereafter, the selection of the appropriate architecture of ANN model is performed and evaluated by common statistical measurements. The results show that the optimal ANN model is a highly efficient predictor of the shear strength of FRP concrete beams with a maximum R2 value of 0.9634 on the training part and an R2 of 0.9577 on the testing part, using the best architecture. In addition, a sensitivity analysis using the optimal ANN model over 500 Monte Carlo simulations is performed to interpret the influence of reinforcement type on the stability and accuracy of ANN model in predicting shear strength. The results of this investigation could facilitate and enhance the use of ANN model in different real-world problems in the field of civil engineering.

Mycotoxins: Biotransformation and Bioavailability Assessment Using Caco-2 Cell Monolayer.

The determination of mycotoxins content in food is not sufficient for the prediction of their potential in vivo cytotoxicity because it does not reflect their bioavailability and mutual interactions within complex matrices, which may significantly alter the toxic effects. Moreover, many mycotoxins undergo biotransformation and metabolization during the intestinal absorption process. Biotransformation is predominantly the conversion of mycotoxins meditated by cytochrome P450 and other enzymes. This should transform the toxins to nontoxic metabolites but it may possibly result in unexpectedly high toxicity. Therefore, the verification of biotransformation and bioavailability provides valuable information to correctly interpret occurrence data and biomonitoring results. Among all of the methods available, the in vitro models using monolayer formed by epithelial cells from the human colon (Caco-2 cell) have been extensively used for evaluating the permeability, bioavailability, intestinal transport, and metabolism of toxic and biologically active compounds. Here, the strengths and limitations of both in vivo and in vitro techniques used to determine bioavailability are reviewed, along with current detailed data about biotransformation of mycotoxins. Furthermore, the molecular mechanism of mycotoxin effects is also discussed regarding the disorder of intestinal barrier integrity induced by mycotoxins.

An Ancient and Eroded Social Supergene Is Widespread across Formica Ants.

Supergenes, clusters of tightly linked genes, play a key role in the evolution of complex adaptive variation [1, 2]. Although supergenes have been identified in many species, we lack an understanding of their origin, evolution, and persistence [3]. Here, we uncover 20-40 Ma of evolutionary history of a supergene associated with polymorphic social organization in Formica ants [4]. We show that five Formica species exhibit homologous divergent haplotypes spanning 11 Mbp on chromosome 3. Despite the supergene's size, only 142 single nucleotide polymorphisms (SNPs) consistently distinguish alternative supergene haplotypes across all five species. These conserved trans-species SNPs are localized in a small number of disjunct clusters distributed across the supergene. This unexpected pattern of divergence indicates that the Formica supergene does not follow standard models of sex chromosome evolution, in which distinct evolutionary strata reflect an expanding region of suppressed recombination [5]. We propose an alternative "eroded strata model" in which clusters of conserved trans-species SNPs represent functionally important areas maintained by selection in the face of rare recombination between ancestral haplotypes. The comparison of whole-genome sequences across 10 additional Formica species reveals that the most conserved region of the supergene contains a transcription factor essential for motor neuron development in Drosophila [6]. The discovery that a very small portion of this large and ancient supergene harbors conserved trans-species SNPs linked to colony social organization suggests that the ancestral haplotypes have been eroded by recombination, with selection preserving differentiation at one or a few genes generating alternative social organization.

Assessment of 6 STR loci for prenatal diagnosis of Duchenne Muscular Dystrophy.

OBJECTIVE: Duchenne Muscular Dystrophy is an X-linked recessive disorder characterized by progressive muscular degeneration, patients often develop cardiac failure in the later stage and death occurs before 20 years of age. For a disease with poor postnatal prognosis such as Duchenne Muscular Dystrophy (DMD), providing the carrier mother with the option of prenatal diagnosis in a subsequent pregnancy is accepted practice in many places where termination of pregnancy is allowed. Though methods of direct sequencing such as Sanger's sequencing has been widely used, Next-Generation Sequencing is been increasingly replacing most of its application. For the DMD gene, being the longest gene in the human genome, methods of direct sequencing is often unpractical and time-consuming, instead, STR analysis for linkage analysis would be a cost-effective option and have been used routinely for prenatal diagnosis of DMD. The diagnostic significance of the STRs is based on several criteria, the most important one being the heterozygosity of the locus, power of discrimination (PD) and power of exclusion (PE). MATERIAL AND METHODS: In this study, we investigated the feasibility of application and diagnostic value of 6 STR loci (DSTR49, DSTR50, DXS1036, DXS1067, DXS890, DXS9907) in the proximity of the DMD gene, 66 healthy individuals were recruited for STR analysis and 5 cases of prenatal diagnosis for carrier mother were performed. RESULT: Allele frequency, heterozygosity, polymorphic information content, the power of discrimination and exclusion and Hardy-Weinberg equilibrium were analyzed and calculated for the 6 STR loci. 5 of these loci (DSTR49, DSTR50, DXS1067, DXS890, DXS9907) were found practical and useful for preimplantation Genetic diagnosis (PGD) and prenatal diagnosis. All 5 cases of prenatal diagnosis using the method had informative STR results and correct diagnosis. CONCLUSION: We concluded that our protocol of STR analysis can be applied for prenatal diagnosis and pre-implantation genetic diagnosis of DMD with high confidence and accuracy, especially in clinical settings where diagnostic resources are more limited.

Effectiveness of Community Intervention Program on Knowledge and Practice of HPV Prevention Among Married Females in Vietnam Rural Areas.

Human papillomavirus (HPV) is identified as the leading cause of cervical cancer which is the second most common cancer of females in the world. This study aimed to evaluate the effects of a community-based intervention on knowledge and practice of HPV prevention among married females aged 15 to 49 in rural areas, Vietnam. This study used a quasi-experimental design with serial cross-sectional surveys at one intervention commune (Chi Linh, Hai Duong) and one control commune at other province (Thanh Thuy, Phu Tho). Number of participants in these surveys were respectively 317 and 320 in Chi Linh and 334 and 335 in Thanh Thuy at pre- and postintervention period. The time of intervention was 15 months from April 2015 to June 2016. The study used behavior models to build up a logical framework for identifying related factors of knowledge and practice among females and developing intervention strategies. A difference-in-differences analysis approach was used to evaluate the effects of this intervention program. The study identified that the intervention had a significant change of knowledge of HPV prevention among married females after the intervention (odds ratio = 3.16, 95% confidence interval: 1.3-7.66) after adjusting for other confounders but no any significant change of practice of HPV prevention (eg, condom use, numbers of sexual partner, HPV vaccination, and screening test for cervical cancer). This might be caused by a short intervention program that did not lead to changes of practice but only change of knowledge.

Trends in Socioeconomic Inequalities in the Use of Antenatal Care Services by Women Aged 15 to 49 Years in Vietnam.

Despite considerable variations in the use of antenatal care (ANC) services in Vietnam, limited information is available on socioeconomic inequalities concerning the use of ANC services. This study aimed to assess the trends and changes in socioeconomic inequalities in the use of ANC services by women aged 15 to 49 years in Vietnam from 2006 to 2014. We used data from the Multiple Indicator Cluster Survey conducted in 2006, 2011, and 2014. The percentage of women who received ANC services increased significantly from 26.5% in 2006 to 42.7% in 2011 and reached 56.6% in 2014. We found a decreasing trend in the concentration indices of the use of ANC services from 0.36 in 2006 to 0.19 in 2014. The common factors significantly associated with the higher percentage of the use of ANC services in 2006, 2011, and 2014 were women belonging to the Kinh and Hoa ethnic groups and belonging to wealthier groups. Our study showed a reduction in socioeconomic inequality in the use of ANC services between 2004 and 2014. However, significant inequalities still exist in the use of ANC services based on women's education, ethnicity, and economic status.

Highly Accurate Step Counting at Various Walking States Using Low-Cost Inertial Measurement Unit Support Indoor Positioning System.

Accurate step counting is essential for indoor positioning, health monitoring systems, and other indoor positioning services. There are several publications and commercial applications in step counting. Nevertheless, over-counting, under-counting, and false walking problems are still encountered in these methods. In this paper, we propose to develop a highly accurate step counting method to solve these limitations by proposing four features: Minimal peak distance, minimal peak prominence, dynamic thresholding, and vibration elimination, and these features are adaptive with the user's states. Our proposed features are combined with periodicity and similarity features to solve false walking problem. The proposed method shows a significant improvement of 99.42% and 96.47% of the average of accuracy in free walking and false walking problems, respectively, on our datasets. Furthermore, our proposed method also achieves the average accuracy of 97.04% on public datasets and better accuracy in comparison with three commercial step counting applications: Pedometer and Weight Loss Coach installed on Lenovo P780, Health apps in iPhone 5s (iOS 10.3.3), and S-health in Samsung Galaxy S5 (Android 6.01).

Combined top-down and bottom-up climate change impact assessment for the hydrological system in the Vu Gia- Thu Bon River Basin.

Vu Gia- Thu Bon (VGTB) River Basin, located in the Central Coastal zone of Viet Nam currently faces water shortage. Climate change is expected to exacerbate the challenge. Therefore, there is a need to study the impacts of climate change on water shortage in the river basin. The study adopts a combined top-down and bottom-up climate change impact assessment to address the impacts of climate change on water shortage in the VGTB River Basin. A MIKE BASIN water balance model for the river basin was established to simulate the response of the hydrological system. Simulations were performed through parametrically varying temperature and precipitation to determine the vulnerability space of water shortage. General Circulation Models (GCMs) were then utilized to provide climate projections for the river basin. The output from GCMs was then mapped onto the vulnerability space determined earlier. In total, 9 out of 55 water demand nodes in the simulation are expected to face problematic conditions as future climate changes.

Palliative Care in Vietnam: Long-Term Partnerships Yield Increasing Access.

Palliative care began in Vietnam in 2001, but steady growth in palliative care services and education commenced several years later when partnerships for ongoing training and technical assistance by committed experts were created with the Ministry of Health, major public hospitals, and medical universities. An empirical analysis of palliative care need by the Ministry of Health in 2006 was followed by national palliative care clinical guidelines, initiation of clinical training for physicians and nurses, and revision of opioid prescribing regulations. As advanced and specialist training programs in palliative care became available, graduates of these programs began helping to establish palliative care services in their hospitals. However, community-based palliative care is not covered by government health insurance and thus is almost completely unavailable. Work is underway to test the hypothesis that insurance coverage of palliative home care not only can improve patient outcomes but also provide financial risk protection for patients' families and reduce costs for the health care system by decreasing hospital admissions near the end of life. A national palliative care policy and strategic plan are needed to maintain progress toward universally accessible cost-effective palliative care services.

Nutrition assessment and its relationship with performance and Glasgow prognostic scores in Vietnamese patients with esophageal cancer.

BACKGROUND AND OBJECTIVES: To determine the nutritional status of patients with esophageal cancer, and to investigate its relationship with performance status and prognosis. METHODS AND STUDY DESIGN: This clinical, cross-sectional study was conducted from August 2014 to February 2015 at National Cancer Hospital, Hanoi, Vietnam. Stage III/IV esophageal cancer patients were assessed for their nutritional status (patient-generated subjective global assessment (PG-SGA) and SGA scores, BMI, mid-arm circumference (MAC), energy and protein intakes, weight changes, Karnofsky and Eastern cooperative oncology group performance scores (KPS/ECOG), and Glasgow prognostic score (GPS). RESULTS: Sixty-four male patients were enrolled. The mean ± standard deviation of PG-SGA score was 9.88±4.41. SGA revealed 44% as class B and 6.2% as class C. The BMI revealed 43.8% of patients were underweight. MAC measurement revealed 29.7% of undernourished patients. Patients with an energy intake <25 kcal/kg/d comprised 54.7%, and 48.4% with <1 g/kg/day of protein. Totally, 68.8%, 84.4% and 92.2% patients exhibited weight loss past 2-weeks, one-month and six-months, respectively. The PG-SGA and SGA strongly correlated with the KPS (r=-0.717 and 0.632, both p<0.001) and ECOG (r=0.672 and 0.626, both p<0.001), but were weakly correlated with the GPS (r=0.332 and 0.278, p<0.01 and 0.05). The KPS, ECOG, BMI, MAC, energy and protein intakes, and weight change were not correlated with the GPS. CONCLUSIONS: Malnutrition, weight change, and insufficient intake were noteworthy in esophageal cancer patients. The PG-SGA and SGA were strongly correlated with the performance status, but weakly correlated with prognostic indices.