Combining the Patient-Generated Subjective Global Assessment (PGSGA) and Objective Nutrition Assessment Parameters Better Predicts Malnutrition in Elderly Patients with Colorectal Cancer

Background Malnutrition is common in colorectal cancer(CRC)patients,especially in elderly patients.The Patient-Generated Subjective Global Assessment(PG-SGA)is a widely used tool developed to detect malnutrition.The aim of this study was to compare the value of the PG-SGA and objective nutrition assessment parameters,in order to identify a better predictive index for malnutrition in elderly patients with CRC.Methods A total of 131 elderly patients(age≥60 years)with CRC were included and were evaluated for their individual nutritional status using the PG-SGA.Anthropometric and serological indicators were also assayed within 48 h of admission to the hospital.Body composition analysis was implemented by bioelectrical impedance analysis(BIA)instrument.The Chi-squared test,univariate and multivariate logistic regression analysis,or Spearman’s rank correlation analysis were used to determine the differences among the above indices and parameters with regard to predicting malnutrition.Results According to the PG-SGA score,the incidence of total malnutrition in elderly patients with CRC was 80.92%(PG-SGA score≥2),which increased with age.It was found that 28%of the patients with PG-SGA classification A(PG-SGA score 0-1)had a low fat-free mass index(FFMI).Compared with those with PG-SGA A,patients with PG-SGA C PG-SGA score≥9)showed an increased neutrophil to lymphocyte ratio(NLR)and an increased platelet and lymphocyte ratio(PLR)(median=1.78 VS.2.35,P=0.015 and median=108.8 VS.141.6,P=0.001,respectively).In terms of objective nutrition assessment parameters,severely malnourished CRC patients had significantly lower values of serum albumin(ALB),and retinol conjugated protein(RBP)than those who were well-nourished[(38.35±4.84)g/L VS.(40.56±3.44)g/L,P=0.039 and(30.31±15.83)mg/L VS.(39.01±11.95)mg/L,P=0.033,respectively].The Spearman’s rank correlation analysis showed that the PG-SGA findings had positive correlations with the NLR and PLR;while it had negative correlations with the FFMI,body mass index(BMI),ALB,prealbumin,and RBP.Conclusions In clinical practice,a comprehensive nutritional diagnosis,including the PG-SGA score and these objective indicators,can avoid the underdiagnosis of malnutrition,and is more suitable to detect malnutrition(as well as its causes)in elderly patients with CRC.

No-Reference Blur Assessment Based on Re-Blurring Using Markov Basis

Blur is produced in a digital image due to low passfiltering,moving objects or defocus of the camera lens during capture.Image viewers are annoyed by blur artefact and the image's perceived quality suffers as a result.The high-quality input is relevant to communication service providers and imaging product makers because it may help them improve their processes.Human-based blur assessment is time-consuming,expensive and must adhere to subjective evaluation standards.This paper presents a revolutionary no-reference blur assessment algorithm based on reblurring blurred images using a special mask developed with a Markov basis and Laplacefilter.Thefinal blur score of blurred images has been calculated from the local variation in horizontal and vertical pixel intensity of blurred and re-blurred images.The objective scores are generated by applying proposed algorithm on the two image databases i.e.,Laboratory for image and video engineering(LIVE)database and Tampere image database(TID 2013).Finally,on the basis of objective and subjective scores performance analysis is done in terms of Pearson linear correlation coefficient(PLCC),Spearman rank-order correlation coefficient(SROCC),Mean absolute error(MAE),Root mean square error(RMSE)and Outliers ratio(OR).The existing no-reference blur assessment algorithms have been used various methods for the evaluation of blur from no-reference image such as Just noticeable blur(JNB),Cumulative Probability Distribution of Blur Detection(CPBD)and Edge Model based Blur Metric(EMBM).The results illustrate that the proposed method was successful in predicting high blur scores with high accuracy as compared to existing no-reference blur assessment algorithms such as JNB,CPBD and EMBM algorithms.

Training and Implementation of Subjective Questions Scoring System Based on the Baidu Qianfan Model Platform

Leveraging the Baidu Qianfan model platform,this paper designs and implements a highly efficient and accurate scoring system for subjective questions,focusing primarily on questions in the field of computer network technology.The system enhances the foundational model by utilizing Qianfan’s training tools and integrating advanced techniques,such as supervised fine-tuning.In the data preparation phase,a comprehensive collection of subjective data related to computer network technology is gathered,cleaned,and labeled.During model training and evaluation,optimal hyperparameters and tuning strategies are applied,resulting in a model capable of scoring with high accuracy.Evaluation results demonstrate that the proposed model performs well across multiple dimensions-content,expression,and development scores-yielding results comparable to those of manual scoring.

Positive effects of music therapist's selected auditory stimulation on the autonomic nervous system of patients with disorder of consciousness: a randomized controlled trial

The current randomized controlled trial was performed at the China Rehabilitation Science Institute, China to test the hypothesis that musical auditory stimulation has positive effects on the autonomic nervous system of patients with disorder of consciousness.Although past studies have recommended that patients with disorder of consciousness listen to patient-preferred music, this practice is not universally accepted by researchers.Twenty patients with severe disorder of consciousness listened to either therapist-selected(n = 10, 6 males and 4 females;43.33 ± 18.76 years old) or patient-preferred(n = 10, 5 males and 5 females, 48.83 ± 18.79 years old) musical therapy, 30 minutes/day, 5 times/week for 6 weeks.The results showed no obvious differences in heart rate variability-related parameters including heart rate, standard deviation of normal-to-normal R-R intervals, and the root-mean-square of successive heartbeat interval differences of successive heartbeat intervals between the two groups of patients.However, percentage of differences exceeding 50 ms between adjacent normal number of intervals, low-frequency power/high-frequency power, high-frequency power norm, low-frequency power norm, and total power were higher in patients receiving therapist-selected music than in patients receiving their own preferred music.In contrast, this relationship was reversed for the high-frequency power and very-low-frequency band.These results suggest that compared with preferred musical stimulation, therapist-selected musical stimulation resulted in higher interactive activity of the autonomic nervous system.Therefore, therapist-selected musical stimulation should be used to arouse the autonomic nervous system of patients with disorder of consciousness.This study was approved by the Institutional Ethics Committee of China Rehabilitation Research Center, China(approval No.2018-022-1) on March 12, 2018 and registered with the Chinese Clinical Trial Registry(registration number Chi CTR1800017809) on August 15, 2018.