Genome-wide association study for cashmere traits in Inner Mongolia cashmere goat population reveals new candidate genes and haplotypes.

BACKGROUND: The cashmere goat industry is one of the main pillars of animal husbandry in Inner Mongolia Autonomous Region, and plays an irreplaceable role in local economic development. With the change in feeding methods and environment, the cashmere produced by Inner Mongolia cashmere goats shows a tendency of coarser, and the cashmere yield can not meet the consumption demand of people. However, the genetic basis behind these changes is not fully understood. We measured cashmere traits, including cashmere yield (CY), cashmere diameter (CD), cashmere thickness (CT), and fleece length (FL) traits for four consecutive years, and utilized Genome-wide association study of four cashmere traits in Inner Mongolia cashmere goats was carried out using new genomics tools to infer genomic regions and functional loci associated with cashmere traits and to construct haplotypes that significantly affect cashmere traits. RESULTS: We estimated the genetic parameters of cashmere traits in Inner Mongolia cashmere goats. The heritability of cashmere yield, cashmere diameter, and fleece length traits of Inner Mongolia cashmere goats were 0.229, 0.359, and 0.250, which belonged to the medium heritability traits (0.2 ~ 0.4). The cashmere thickness trait has a low heritability of 0.053. We detected 151 genome-wide significantly associated SNPs with four cashmere traits on different chromosomes, which were very close to the chromosomes of 392 genes (located within the gene or within ± 500 kb). Notch3, BMPR1B, and CCNA2 have direct functional associations with fibroblasts and follicle stem cells, which play important roles in hair follicle growth and development. Based on GO functional annotation and KEGG enrichment analysis, potential candidate genes were associated with pathways of hair follicle genesis and development (Notch, P13K-Akt, TGF-beta, Cell cycle, Wnt, MAPK). We calculated the effective allele number of the Inner Mongolia cashmere goat population to be 1.109-1.998, the dominant genotypes of most SNPs were wild-type, the polymorphic information content of 57 SNPs were low polymorphism (0 < PIC < 0.25), and the polymorphic information content of 79 SNPs were moderate polymorphism (0.25 < PIC < 0.50). We analyzed the association of SNPs with phenotypes and found that the homozygous mutant type of SNP1 and SNP3 was associated with the highest cashmere yield, the heterozygous mutant type of SNP30 was associated with the lowest cashmere thickness, the wild type of SNP76, SNP77, SNP78, SNP80, and SNP81 was associated with the highest cashmere thickness, and the wild type type of SNP137 was associated with the highest fleece length. 21 haplotype blocks and 68 haplotype combinations were constructed. Haplotypes A2A2, B2B2, C2C2, and D4D4 were associated with increased cashmere yield, haplotypes E2E2, F1F1, G5G5, and G1G5 were associated with decreased cashmere fineness, haplotypes H2H2 was associated with increased cashmere thickness, haplotypes I1I1, I1I2, J1J4, L5L3, N3N2, N3N3, O2O1, P2P2, and Q3Q3 were associated with increased cashmere length. We verified the polymorphism of 8 SNPs by KASP, and found that chr7_g.102631194A > G, chr10_g.82715068 T > C, chr1_g.124483769C > T, chr24_g.12811352C > T, chr6_g.114111249A > G, and chr6_g.115606026 T > C were significantly genotyped in verified populations (P < 0.05). CONCLUSIONS: In conclusion, the genetic effect of single SNP on phenotypes is small, and SNPs are more inclined to be inherited as a whole. By constructing haplotypes from SNPs that are significantly associated with cashmere traits, it will help to reveal the complex and potential causal variations in cashmere traits of Inner Mongolia cashmere goats. This will be a valuable resource for genomics and breeding of the cashmere goat.

Study on the Spatiotemporal Evolution and Driving Factors of Ecological Security in Stages Based on the DPSIRM-SBM Model: A Case Study of the Yangtze River Economic Belt.

Scientific assessment of urban ecological security (ES) is an important prerequisite to realize regional sustainable development. Previous studies lack the consideration of quality and poor systematic correlation, which could not reflect the internal dynamic relationship. On the basis of considering the time lag, this study divided the research process into the natural operation stage and the management feedback stage based on the driving forces, pressures, state, impacts, responses, management (DPSIRM) framework model and DEA theory, so as to effectively overcome the above shortcomings. Finally, we analyzed the spatio-temporal characteristics and influencing factors of the ES level of 108 cities in the Yangtze River Economic Belt (YREB) during 2005-2019. The results showed that: (a) both two stages showed a slow and fluctuating upward trend in time series, and the level of urban ES in the management feedback stage was significantly higher than that in the natural operation stage; (b) with the passage of time, the spatial distribution of ES in the natural operation stage gradually developed towards the middle and downstream of the YREB, while the management feedback stage mainly evolved from the midstream to the edge area; (c) the level of urban ES presented a different degree of spatial agglomeration phenomenon, and showed an increasing trend over time; and (d) the key influencing factors gradually changed from pressure to response during 2005-2019. This research aims to provide an innovative perspective for the measurement of urban ES, and provide scientific reference for improving urban ecological sustainable development.

Global and regional estimates of tuberculosis burden attributed to high fasting plasma glucose from 1990 to 2019: emphasis on earlier glycemic control.

BACKGROUND: Previous studies have shown subjects suffering from diabetes or persistent hyperglycemia were more likely to develop tuberculosis (TB). However, the global burden of TB attributed to high fasting plasma glucose (HFPG) remains unclear. This study aimed to characterize the global, regional, and national TB burden attributed to HFPG from 1990 to 2019. METHODS: With Global Burden of Disease study 2019, the numbers and age-standardized mortality rates (ASMR) and age-standardized disability-adjusted life years (DALY) rates (ASDR) of TB attributed to HFPG at global, regional, and national levels from 1990 to 2019 were extracted. The locally weighted regression model was applied to estimate the TB burden for different socio-demographic index (SDI) regions. RESULTS: Globally, the ASMR and ASDR attributed to HFPG were 2.70 (95% UI, 1.64-3.94) and 79.70 (95% UI, 50.26-112.51) per 100,000 population in 1990, respectively. These rates decreased to 1.46 (95% UI, 0.91-2.08) and 45.53 (95% UI, 29.06-62.29) in 2019. The TB burden attributed to HFPG remained high in low SDI and Central Sub-Saharan Africa regions, while it declined with most significantly in high SDI and East Asia regions. Additionally, the ASMR and ASDR of TB attributed to HFPG were significantly higher in the male and the elderly population. CONCLUSIONS: The global TB burden attributable to HFPG decreased from 1990 to 2019, but remained high in low SDI regions among high-risk populations. Thus, urgent efforts are required to enhance the awareness of early glycemic control and TB treatment to alleviate the severe situation.

Development of Cost-Effective Fatty Liver Disease Prediction Models in a Chinese Population: Statistical and Machine Learning Approaches.

BACKGROUND: The increasing prevalence of nonalcoholic fatty liver disease (NAFLD) in China presents a significant public health concern. Traditional ultrasound, commonly used for fatty liver screening, often lacks the ability to accurately quantify steatosis, leading to insufficient follow-up for patients with moderate-to-severe steatosis. Transient elastography (TE) provides a more quantitative diagnosis of steatosis and fibrosis, closely aligning with biopsy results. Moreover, machine learning (ML) technology holds promise for developing more precise diagnostic models for NAFLD using a variety of laboratory indicators. OBJECTIVE: This study aims to develop a novel ML-based diagnostic model leveraging TE results for staging hepatic steatosis. The objective was to streamline the model's input features, creating a cost-effective and user-friendly tool to distinguish patients with NAFLD requiring follow-up. This innovative approach merges TE and ML to enhance diagnostic accuracy and efficiency in NAFLD assessment. METHODS: The study involved a comprehensive analysis of health examination records from Suzhou Municipal Hospital, spanning from March to May 2023. Patient data and questionnaire responses were meticulously inputted into Microsoft Excel 2019, followed by thorough data cleaning and model development using Python 3.7, with libraries scikit-learn and numpy to ensure data accuracy. A cohort comprising 978 residents with complete medical records and TE results was included for analysis. Various classification models, including logistic regression (LR), k-nearest neighbor (KNN), support vector machine (SVM), random forest (RF), light gradient boosting machine (LightGBM), and extreme gradient boosting (XGBoost), were constructed and evaluated based on the area under the receiver operating characteristic curve (AUROC). RESULTS: Among the 916 patients included in the study, 273 were diagnosed with moderate-to-severe NAFLD. The concordance rate between traditional ultrasound and TE for detecting moderate-to-severe NAFLD was 84.6% (231/273). The AUROC values for the RF, LightGBM, XGBoost, SVM, KNN, and LR models were 0.91, 0.86, 0.83, 0.88, 0.77, and 0.81, respectively. These models achieved accuracy rates of 84%, 81%, 78%, 81%, 76%, and 77%, respectively. Notably, the RF model exhibited the best performance. A simplified RF model was developed with an AUROC of 0.88, featuring 62% sensitivity and 90% specificity. This simplified model used 6 key features: waist circumference, BMI, fasting plasma glucose, uric acid, total bilirubin, and high-sensitivity C-reactive protein. This approach offers a cost-effective and user-friendly tool while streamlining feature acquisition for training purposes. CONCLUSIONS: The study introduces a groundbreaking, cost-effective ML algorithm that leverages health examination data for identifying moderate-to-severe NAFLD. This model has the potential to significantly impact public health by enabling targeted investigations and interventions for NAFLD. By integrating TE and ML technologies, the study showcases innovative approaches to advancing NAFLD diagnostics.

Circulating leptin levels in the assessment of Crohn's disease activity and its relation to nutritional status.

Introduction: Objective: to evaluate leptin levels and its relation to nutritional status in Crohn's disease (CD). Methods: the study included 154 CD patients and healthy controls. Leptin level was determined before treatment. Nutrition levels were assessed using the Nutrition Risk Screening 2002 (NRS-2002) and Patient-Generated Subjective Global Assessment (PG-SGA). Indicators included body mass index (BMI), mid-arm circumference, the circumference of the upper-arm muscle, triceps skinfold thickness, and circumference of legs. Results: leptin levels differed between CD patients (1,025 ± 874 ng/ml) and controls (18,481,222 ng/ml). Significant differences were seen in NRS-2002, PG-SGA scores, BMI and other nutritional indicators. Negative correlations were observed between leptin and NRS-2002, PG-SGA scores, while positive correlations were observed with other nutritional indicators. The receiver operating characteristic (ROC) curve showed association between leptin and the diagnosis of CD, suggesting leptin concentration below 803.02 ng/ml as a threshold for CD. Conclusion: dysfunctional leptin regulation may relate to poor nutritional status associated with CD. The leptin level is thus an additional tool for evaluating CD patients, predicting disease activity and clinical response. Leptin may be a potential target for intervention in CD to improve nutritional status.

Introducción: Objetivo: evaluar los niveles de leptina y su relación con el estado nutricional en la enfermedad de Crohn (EC). Métodos: se incluyeron 154 pacientes con EC y controles sanos. El nivel de leptina se determinó antes del tratamiento. La situación nutricional se evaluó mediante el examen de riesgo nutricional 2002 (NRS-2002) y la Valoración Global Subjetiva Generada por el Paciente (VGS-GP). Los indicadores incluyen el índice de masa corporal (IMC), la circunferencia media del brazo, la circunferencia del músculo superior del brazo, el grosor del pliegue cutáneo del tríceps y la circunferencia de las piernas. Resultados: los niveles de leptina difirieron entre los pacientes con EC (1.025 ± 874 ng/ml) y los controles (18.481.222 ng/ml). Se observaron diferencias significativas en NRS-2002, puntajes de VGS-GP, IMC y otros indicadores nutricionales. Se observaron correlaciones negativas entre leptina y NRS-2002, puntuaciones de VGS-GP, mientras que se observaron correlaciones positivas con otros indicadores nutricionales. La curva ROC mostró asociación entre leptina y el diagnóstico de EC, sugiriendo concentraciones de leptina por debajo de 803,02 ng/ml como umbral para EC. Conclusión: puede relacionarse la alteración en la regulación de la leptina con la peor situación nutricional en enfermos con EC.La leptina puede ser un objetivo potencial para la intervención en EC a fin de mejorar el estado nutricional.

Quality assessment of traditional Chinese medicine using quality biomarkers: Compound DanShen dripping pills as an example.

BACKGROUND: The quality control of traditional Chinese medicine (TCM) is one of the main topics in TCM modernisation research. To date, the overwhelming majority of research has focused on chemical ingredients in the quality control of TCM. However, detecting a single or multiple chemical components cannot fully demonstrate the specificity and correlation between quality and efficacy. PURPOSE: To solve the problem that the association between quality control and efficacy is lacking. The present study was designed to establish a methodology for quality control based on quality biomarkers (Q-biomarkers) and the vasodilatation efficacy of compound DanShen dripping pills (CDDP) as a case. METHODS: Guided by the basic principles of Q-biomarkers, the compounds in TCM were determined by ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry. Predicted targets were screened through network pharmacology. The potential Q-biomarkers were further screened through proteomics and partial least squares regression analysis. The protein-protein interaction network that combines both predicted targets and potential Q-biomarkers was constructed to screen Q-biomarkers. RESULTS: There were 32 components and 79 predictive targets for CDDP. Proteomic results indicated that the expression of 23 differential proteins changed as pharmacodynamic and componential changes. CPSF6, RILP11, TMEM209, COQ7, VPS18, PPPP1CA, NF2, and ARFRP1 highly correlated with vasodilation. Protein interaction network analysis showed that NF2 and PPPP1CA were closely related to predicted proteins. Thus, NF2 and PPPP1CA could be considered as Q-biomarkers of CDDP. CONCLUSION: Our preliminary study suggested the feasibility of the Q-biomarkers theory in the quality of TCM. The concept of Q-biomarkers provided a powerful method to strengthen the link between clinical efficacy and the quality of TCM. In conclusion, a novel, more scientific, and standard quality control method was established in this study.

Plasma cell-free DNA promise monitoring and tissue injury assessment of COVID-19.

Coronavirus 2019 (COVID-19) is a complex disease that affects billions of people worldwide. Currently, effective etiological treatment of COVID-19 is still lacking; COVID-19 also causes damages to various organs that affects therapeutics and mortality of the patients. Surveillance of the treatment responses and organ injury assessment of COVID-19 patients are of high clinical value. In this study, we investigated the characteristic fragmentation patterns and explored the potential in tissue injury assessment of plasma cell-free DNA in COVID-19 patients. Through recruitment of 37 COVID-19 patients, 32 controls and analysis of 208 blood samples upon diagnosis and during treatment, we report gross abnormalities in cfDNA of COVID-19 patients, including elevated GC content, altered molecule size and end motif patterns. More importantly, such cfDNA fragmentation characteristics reflect patient-specific physiological changes during treatment. Further analysis on cfDNA tissue-of-origin tracing reveals frequent tissue injuries in COVID-19 patients, which is supported by clinical diagnoses. Hence, our work demonstrates and extends the translational merit of cfDNA fragmentation pattern as valuable analyte for effective treatment monitoring, as well as tissue injury assessment in COVID-19.

Study on Health Monitoring and Fatigue Life Prediction of Aircraft Structures.

In this paper, some progress and achievements in aircraft integrity requirements, structural health monitoring, load spectrum measurement and life assessment research were presented. Several concepts of structural health monitoring were analyzed and compared, and the basic flow chart for health monitoring and life prediction of an aircraft structure was given. The selection of control points, construction of load/strain equations and stress calculation of control points were also described. Reliable IAT (Individual Aircraft Tracking) and life monitoring methods and software for IAT were developed for a certain type of aircraft, and fatigue life prediction of an aging aircraft was conducted based on actual measurement of load spectrum. The main features such as damage calculation, life evaluation and result output were discussed, and the future research focuses relating to intelligent structural health monitoring were finally explored.

An external quality assessment for the molecular testing of the SARS-CoV-2 virus genome in Zhejiang Province, China.

The COVID-19 pandemic has necessitated the rapid expansion of laboratories that conduct SARS-CoV-2 tests. A provincial external quality assessment (EQA) scheme on SARS-CoV-2 tests was organized by Zhejiang Provincial CDC to assess the accuracy of the tests in individual CDC municipal and county laboratories in Zhejiang Province, China. Three positive samples in high, medium, and low concentrations, respectively, were prepared using the serial dilutions from the culture with the viral titer concentration of 1×106.3 TCID50/mL, and one negative sample were included. A total of 93 laboratories participated, contributing results from 36 distinct combinations of nucleic acid extraction methods and PCR reagents. There was 100% concordance among all laboratories for all EQA samples, and no false-positive or false-negative results were observed. The EQA survey provides confidence in the identification of infected individuals or asymptomatic populations and assurance for clinical and public health decision-making based on test results.

Accuracy of Genomic Selection for Important Economic Traits of Cashmere and Meat Goats Assessed by Simulation Study.

Genomic selection in plants and animals has become a standard tool for breeding because of the advantages of high accuracy and short generation intervals. Implementation of this technology is hindered by the high cost of genotyping and other factors. The aim of this study was to determine an optional marker density panel and reference population size for using genomic selection of goats, with speculation on the number of QTLs that affect the important economic traits of goats. In addition, the effect of buck population size in the reference population on the accuracy of genomic estimated breeding value (GEBV) was discussed. Based on the previous genetic evaluation results of Inner Mongolia White Cashmere Goats, live body weight (LBW, h 2 = 0.11) and fiber diameter (FD, h 2 = 0.34) were chosen to perform genomic selection in this study. Reasonable genome parameters and generation transmission processes were set, and phenotypic and genotype data of the two traits were simulated. Then, different sizes of the reference population and validation population were selected from progeny. The GEBVs were obtained by six methods, including GBLUP (Genomic Best Linear Unbiased Prediction), ssGBLUP (Single Step Genomic Best Linear Unbiased Prediction), BayesA, BayesB, Bayesian ridge regression, and Bayesian LASSO. The correlation coefficient between the predicted and realized phenotypes from simulation was calculated and used as a measure of the accuracy of GEBV in each trait. The results showed that the medium marker density Panel (45 K) could be used for genomic selection in goats, which can ensure the accuracy of the GEBV. The reference population size of 1,500 can achieve greater genetic progress in genomic selection for fiber diameter and live body weight in goats by comparing with the population size below this level. The accuracy of the GEBV for live body weight and fiber diameter was better when the number of QTLs was 100 and 50, respectively. Additionally, the accuracy of GEBV was discovered to be good when the buck population size was up to 200. Meanwhile, the accuracy of the GEBV for medium heritability traits (FDs) was found to be higher than the accuracy of the GEBV for low heritability traits (LBWs). These findings will provide theoretical guidance for genomic selection in goats by using real data.

Constraint relationship of ecosystem services in the Yangtze River Economic Belt, China.

Understanding the relationship among ecosystem services (ESs) is essential to promote ESs management and sustainable development. The relationship between ESs is mutual and can be expressed in terms of trade-offs, synergy, and constraints. The paper selected the InVEST model to assess the water yield (WY), soil conservation (SC), food production (FP), net primary productivity (NPP), and habitat quality (HQ) of the Yangtze River Economic Belt (YREB) and used the constraint line method to analyze the relationship of paired ecological services at three scales: landscape, watershed, and land category. The following conclusions were drawn: (1) during the study period, the spatial changes of the five ecological services in the YREB did not change much, but the spatial distribution of the ecological services was different. (2) From 2000 to 2015, the constraint line of YREB paired ecological services had a high degree of fit. Under the three levels of landscape, watershed, and land category, the YREB has a variety of constraint types, including negative lines, logarithms, paraboloids, humped shapes, and rectangles. (3) At the three levels, the constraint lines between FP, NPP, WY, and SC and HQ were stable rectangular constraints; WY-SC was hump shaped, FP-NPP, FP-SC, FP-WY, NPP-WY, and NPP-SC changed with the scale, showing different spatial scale changes. (4) The paired ESs directly determined the ecological constraint curve but under the combined effect of other factors, which would affect or change the constraint line. We discussed the effects of weather, topography, and economy on the constraint relationship, and found that all have different degrees of influence.

Comparison and Analysis of Neutralizing Antibody Levels in Serum after Inoculating with SARS-CoV-2, MERS-CoV, or SARS-CoV Vaccines in Humans.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Middle East respiratory syndrome coronavirus (MERS-CoV), and severe acute respiratory syndrome coronavirus (SARS-CoV) pose a great threat to humanity. Every pandemic involving these coronaviruses has seriously affected human health and economic development. Currently, there are no approved therapeutic drugs against their infections. Therefore, the development of vaccines is particularly important to combat these coronaviruses. In this review, we summarized and analyzed the progress of vaccines against SARS-CoV, MERS-CoV, and SARS-CoV-2, including inactivated vaccines, live attenuated vaccines, subunit vaccines, nucleic acid vaccines, and viral vector vaccines. In addition, we compared the levels of neutralizing antibodies in the serum of patients with these three kinds of coronaviruses at different stages, and their ability and effects against SARS-CoV-2, MERS-CoV, and SARS-CoV. This review provides useful information for vaccine evaluation and analysis.

Assessing Genetic Diversity and Estimating the Inbreeding Effect on Economic Traits of Inner Mongolia White Cashmere Goats Through Pedigree Analysis.

Objective: The purpose of this study was to discover the population structure and genetic diversity of Inner Mongolia White Cashmere goats (IMCGs) and demonstrate the effect of inbreeding on the live body weight (LBW), cashmere yield (CY), fiber length (FL), and fiber diameter (FD) of IMCGs. Materials and Methods: All data were collected from pedigree information and production performance records of IMCGs from 1983 to 2019. The population structure and genetic diversity were analyzed by Endog 4.8 software. Inbreeding coefficients were obtained by the pedigree package in R. Then, a linear regression model was used to analyze how inbreeding influences economic traits in IMCGs. Four levels of inbreeding coefficients (F i ) were classified in this study, including F i = 0, 0< F i ≤ 6.25, 6.25< F i ≤ 12.5 and F i ≥12.5. Variance analysis was performed to determine whether inbreeding levels had a significant effect on economic traits in IMCGs. Results: The proportions of rams and dams in IMCGs for breeding were relatively small, with values of 0.8 and 20.5%, respectively. The proportion of inbred animals in the entire population was high, with values up to 68.6%; however, the average inbreeding coefficient and relatedness coefficient were 4.50 and 8.48%, respectively. To date, the population has experienced 12 generations. The average generation interval obtained in the present study was 4.11 ± 0.01 years. The ram-to-son pathway was lowest (3.97 years), and the ewe-to-daughter pathway was highest (4.24 years). It was discovered that the LBW, CY, and FL increased by 3.88 kg, 208.7 g, and 1.151 cm, respectively, with every 1% increase in the inbreeding coefficient, and the FD decreased by 0.819 µm with every 1% increase in the inbreeding coefficient. Additionally, multiple comparison analysis indicated that when the inbreeding coefficient was higher than 6.25%, the LBW showed an obvious decreasing trend. The threshold value of inbreeding depression in the CY is 12.5%. However, inbreeding depression has not been observed in the FL and FD. Conclusion: Pedigree completeness needs to be further strengthened. The degree of inbreeding in this flock should be properly controlled when designing breeding programs.

Cost-effectiveness analysis of empagliflozin compared with glimepiride in patients with Type 2 diabetes in China.

Aim: The study assesses the cost-effectiveness of empagliflozin versus glimepiride in patients with Type 2 diabetes and uncontrolled by metformin alone in China, based on the EMPA-REG H2H-SU trial. Materials & methods: A calibrated version of the IQVIA Core Diabetes Model was used. Cost of complications and utility were taken from literature. The Chinese healthcare system perspective and 5% discounting rates were applied. Results: Empagliflozin+metformin provides additional quality-adjusted life-years (0.317) driven by a reduction in the number of cardiovascular and renal events, for an additional cost of $1382 (CNY9703) compared with glimepiride+metformin. Conclusion: Empagliflozin is cost-effective treatment versus glimepiride applying a threshold of $30,290 (CNY212,676).

Cost-effectiveness of Dabigatran Compared With Rivaroxaban for Prevention of Stroke and Systemic Embolism in Patients With Atrial Fibrillation in China.

PURPOSE: In China, dabigatran and rivaroxaban are the only approved non-vitamin K antagonist oral anticoagulants for the treatment of atrial fibrillation (AF). The goal of this article was to assess the cost-effectiveness of dabigatran versus rivaroxaban for the prevention of stroke and systemic embolism in Chinese patients with AF from the perspective of the Chinese health care system. METHODS: A Markov model was constructed to estimate the cost-effectiveness of dabigatran versus rivaroxaban. Clinical events were modeled for a lifetime horizon, based on clinical efficacy data from indirect treatment comparisons. The weighted average of the most recent prices of these 2 drugs was used as the drug acquisition cost. Other costs, including follow-up costs and event costs, were collected by using a survey from a panel of local experts. Utility inputs (health state utilities, clinical event disutilities, and event history utility) were obtained from published literature. Sensitivity analyses that included scenario analyses and a probabilistic sensitivity analysis were conducted to examine the robustness of the economic model. FINDINGS: Over a lifetime, patients treated with dabigatran experienced fewer ischemic strokes (2.14 dabigatran vs 2.61 rivaroxaban) and fewer intracranial hemorrhage (0.48 vs 0.94) per 100 patient-years. In the base case analysis, dabigatran had an incremental cost of ¥28,128 but with higher life years (10.38 vs 10.14) and quality-adjusted life years (QALYs) (7.95 vs 7.70). The resulting incremental cost-effectiveness ratio of ¥112,910 per QALY gained and net monetary benefit of ¥12,214 versus rivaroxaban showed that dabigatran was a cost-effective alternative to rivaroxaban. Extensive sensitivity analyses indicated that the results were robust over a wide range of inputs. The probabilistic sensitivity analysis indicated that dabigatran was cost-effective in 84.2% of the 10,000 Monte Carlo simulations compared with rivaroxaban. IMPLICATIONS: Dabigatran reduced the occurrence of clinical events and increased QALYs compared with rivaroxaban. The use of dabigatran for the prevention of stroke and systemic embolism is a cost-effective option compared with rivaroxaban among patients with AF in China.

Changes in diffusion tensor imaging indices of the lumbosacral enlargement correlate with cervical spinal cord changes and clinical assessment in patients with cervical spondylotic myelopathy.

OBJECTIVES: We examined whether changes in diffusion tensor imaging (DTI) indices of the lumbosacral enlargement are similar to those at the cervical level, and correlate with clinical assessments in patients with cervical spondylotic myelopathy (CSM). PATIENTS AND METHODS: Patients with CSM and healthy volunteers (40-42/group) received DTI scans at both lumbosacral enlargement and cervical spinal cord. Modified Japanese Orthopedic Association (mJOA) score was also recorded for those with CSM. The apparent diffusion coefficient (ADC) and fractional anisotropy (FA) values of DTI in the two groups were compared. We also examined the correlation between DTI indices (ADC and FA) of the lumbosacral enlargement and those of the cervical spinal cord, and between DTI indices and mJOA in the CSM group. RESULTS: Compared with the values of healthy subjects, the ADC values of patients with CSM were significantly increased, and FA values were significantly decreased at both cervical spinal cord and lumbosacral enlargement. Changes in FA value of the cervical cord showed a positive correlation to those of the lumbosacral enlargement in the CSM group. Importantly, a linear correlation was detected between mJOA score and DTI indices (ADC and FA) of the cervical cord, as well as FA value of the lumbosacral enlargement in the CSM group. CONCLUSION: DTI indices, especially FA, of the lumbosacral enlargement correlate with clinical assessments of patients with CSM, and hence may be useful for evaluating the severity of cervical cord injury.

Cost-effectiveness of afatinib, gefitinib, erlotinib and pemetrexed-based chemotherapy as first-line treatments for advanced non-small cell lung cancer in China.

PURPOSE: Tyrosine kinase inhibitors (TKI) of the epidermal growth factor receptor (EGFR) are becoming the standard treatments for Chinese patients with advanced non-small cell lung cancer (NSCLC) harboring an EGFR mutation. However, the economic impact is unclear yet in China. MATERIALS AND METHODS: A decision-analytic model was developed to simulate 1-month patient transitions in a 10-year time horizon from Chinese heath care system perspective. The health and economic outcomes of four first-line strategies (pemetrexed plus cisplatin [PC], gefitinib, erlotinib, and afatinib) among NSCLC patients harboring EGFR mutations were estimated and assessed via indirect comparisons. Costs in the Chinese setting were estimated by using local hospital data and literatures. A 5% annual discount rate was applied to both costs and outcomes. The primary outcome was the incremental cost-effectiveness ratio (ICER). Sensitivity analyses were performed. RESULTS: Afatinib achieved additional 0.382, 0.216 and 0.174 quality-adjusted life-years (QALYs) with marginal $7930, $3680 and $2818 costs in comparison with PC, gefitinib and erlotinib, which resulted in the ICERs of $20,758, $17,693 and $16,197 per QALY gained, respectively. The hazard ratios (HR) of overall survival (OS) of afatinib against gefitinib, erlotinib and PC strategy had substantial influential parameters. CONCLUSIONS: First-line afatinib is cost-effective compared with gefitinib, erlotinib and PC treatment for Chinese patients with EGFR mutation-positive NSCLC.

[Current situation and prospect of resource evaluation and sustainable utilization on Bletilla].

The plants of Bletilla are one of the groups in Orchidaceae with the highest economic value. As the traditional Chinese medicinal material, Bletillae Rhizoma exhibits excellent efficacy in hemostatic, antibiosis, detumescent, anticancer activities and regenerating tissue to heal wound, which has great development potential. However, Bletillae Rhizoma is mainly collected from wild resources. At present, the quantity of wild resources of Bletilla plants has sharply decreased and is far from meeting the needs. Resource appraisal and breeding and cultivation of excellent germplasms of Bletilla plants are important for scientific utilization of the resources of the genus. This paper reviewed the following researches of Chinese Bletilla resources: species and distribution, genetic diversity, active ingredient evaluation, breeding, as well as seeding production and cultivation techniques. Suggestions were also provided in further researches on the resources evaluation, sustainable development and efficient utilization of Chinese Bletilla plants.

Automatic Analysis of Lateral Cephalograms Based on Multiresolution Decision Tree Regression Voting.

Cephalometric analysis is a standard tool for assessment and prediction of craniofacial growth, orthodontic diagnosis, and oral-maxillofacial treatment planning. The aim of this study is to develop a fully automatic system of cephalometric analysis, including cephalometric landmark detection and cephalometric measurement in lateral cephalograms for malformation classification and assessment of dental growth and soft tissue profile. First, a novel method of multiscale decision tree regression voting using SIFT-based patch features is proposed for automatic landmark detection in lateral cephalometric radiographs. Then, some clinical measurements are calculated by using the detected landmark positions. Finally, two databases are tested in this study: one is the benchmark database of 300 lateral cephalograms from 2015 ISBI Challenge, and the other is our own database of 165 lateral cephalograms. Experimental results show that the performance of our proposed method is satisfactory for landmark detection and measurement analysis in lateral cephalograms.

Cost-effectiveness of afatinib and erlotinib as second-line treatments for advanced squamous cell carcinoma of the lung.

AIM: To investigate the cost-effectiveness of afatinib and erlotinib as second-line therapy for advanced squamous cell carcinoma of the lung. MATERIALS & METHODS: A decision-analytic model was developed for projecting the economic outcomes. Clinical parameters and utilities were from the LUX-Lung 8 trial. Costs were mainly estimated from the Chinese health system. The outcome was the incremental cost-effectiveness ratio. RESULTS: The afatinib strategy generated additional 0.154 quality-adjusted life-years compared with erlotinib, with incremental costs of ¥16,852. Relative to erlotinib, afatinib resulted in an incremental cost-effectiveness ratio of ¥109,429 per quality-adjusted life-year gained. The overall survival time of afatinib had a considerable impact on the model outcomes. CONCLUSION: Afatinib is a cost-effective treatment option compared with erlotinib in patients with squamous cell carcinoma.