Changes in the landscape patterns of Black-necked Crane habitat and its correlation with their individual population numbers during the past 40 years in China.

The landscape pattern of the Black-necked Crane (Grus nigricollis) habitat in China changed at different spatial scales and long-term periods due to natural factors and human activities, and habitat reduction and fragmentation threatened the survival of Black-necked Cranes. The factors driving the habitat landscape pattern and individual population changes of Black-necked Cranes remain to be studied. In this paper, based on remote sensing data of land use from 1980 to 2020, the changes in landscape pattern and fragmentation of the Black-necked Crane habitat in China over 40 years were analyzed from two different spatial scales using the land cover transfer matrix and landscape index. The correlation between landscape and Black-necked Crane individual population was analyzed. The most obvious observations were as follows: (1) Although transformation between landscapes occurred to varying degrees, the area of wetlands and arable land in the breeding and the wintering areas (net) increased significantly from 1980 to 2020. (2) Habitat fragmentation existed in the breeding and the wintering area and was more obvious in the wintering area. (3) The number of individuals of Black-necked Cranes increased period by period, and habitat fragmentation did not inhibit their population growth. (4) The number of individuals of Black-necked Crane was closely related to the wetland and arable land. The increasing area of wetlands and arable and the increasing landscape shape complexity all contributed to the growth of the individual population. The results also suggested that the number of individuals of Black-necked Crane was not threatened by the expanding arable land in China, and they might benefit from arable landscapes. The conservation of Black-necked Cranes should focus on the relationship between individual Black-necked Cranes and arable landscapes, and the conservation of other waterbirds should also focus on the relationship between individual waterbirds and other landscapes.

Establishment of a model for predicting sentinel lymph node metastasis in early breast cancer based on contrast-enhanced ultrasound and clinicopathological features.

BACKGROUND: Sentinel lymph node (SLN) biopsy (SLNB) is the standard procedure for axillary staging in clinically node-negative (cN0) breast cancer patients. However, the positive rate of SLNs among cN0 stage patients is 26-35%. The identification of appropriate candidates for SLNB is quite challenging. This study aimed to establish and verify a predictive model of SLN metastasis using contrast-enhanced ultrasound (CEUS) and other clinicopathological indicators. METHODS: The clinicopathological data of 224 patients who had undergone SLNB at the Affiliated Cancer Hospital of Zhengzhou University from June 2018 to July 2019 were analyzed retrospectively. The risk prediction model of SLN metastasis was established by logistic regression analysis. According to the ß value of each variable in the model, a risk score system of SLN metastasis was established and verified using the internal population. The predictive model was prospectively applied to 73 patients from July 2019 to September 2019 to evaluate the clinical value of the model in patients with early breast cancer. RESULTS: Multivariate analysis confirmed that body mass index (BMI), SLN aspect ratio of CEUS mode, SLN aspect ratio of mammography, lympho-vascular invasion, and cytokeratin (CK)5/6 were independent risk factors for SLN metastasis. A scoring system was established according to the above risk factors, and a receiver operating characteristic (ROC) curve was drawn. After internal- and external verification, a corrected ROC curve was drawn, respectively. The ROC curve of the modeling group, internal verification group, and external verification group was 0.9075 (95% CI: 0.8616-0.9534), 0.8766 (95% CI: 0.8192-0.9341), and 0.8505 (95% CI: 0.7333-0.9676), respectively. CONCLUSIONS: We constructed and verified a prediction model of SLN metastasis in early breast cancer. The model has a specific predictive value for preoperative evaluation of SLN status.

Predictive risk factors for sentinel lymph node metastasis using preoperative contrast-enhanced ultrasound in early-stage breast cancer patients.

BACKGROUND: Sentinel lymph node biopsy (SLNB) is the standard procedure for axillary staging in clinically node-negative (cN0) breast cancer patients. The positive rate of SLNs in cN0 stage patients ranges from 20.5% to 25.5%, so identifying appropriate candidates for SLNB is quite challenging. The aims of this study were to assess whether contrast-enhanced ultrasound (CEUS) could be utilized to noninvasively predict SLN metastasis, and to explore the predictive value of the involved factors. METHODS: Between May 2016 and May 2018, 217 consenting breast cancer patients undergoing SLNB were enrolled. Before the surgery, CEUS was utilized to identify the SLNs, and predict whether metastasis had occurred according to their enhancement pattern. Blue dye was also used to identify the SLNs during SLNB. The rates of identification and accuracy of both methods were recorded. The predictive outcomes of SLNs identified by CEUS were recorded and compared with the pathological diagnosis. RESULTS: Of the 217 cases, SLNs in 212 cases were successfully identified, comprising 208 cases identified by CEUS and 206 cases by blue dye, with no significant difference between the two methods (P=0.6470). A total of 78 cases were predicted SLN-positive preoperatively by CEUS, comprising 61 cases of SLN metastasis confirmed by pathology and 17 cases of no SLN metastasis, and 130 cases were predicted SLN-negative by CEUS, comprising 6 cases of SLN metastasis and 124 cases of no SLN metastasis. The sensitivity of CEUS preoperative prediction was 91.0%, the specificity was 87.9%, the positive and negative predictive values were 78.2% and 95.4%, respectively, and the accuracy was 88.9%. The maximum diameter size of positive SLNs predicted by CEUS was greater than that of negative SLNs (mean value 1.67±0.06 vs. 1.40±0.05 cm, P=0.0007). Similarly, the primary tumor size predicted SLN-positive by CEUS was greater than that in patients with negative SLNs (mean value 2.64±0.12 vs. 1.79±0.09 cm, P<0.0001). CONCLUSIONS: CEUS accurately identified SLNs and can be used to noninvasively predict SLN metastasis in early-stage breast cancer patients. However, the primary tumor size and the SLN size should not be overlooked by clinicians when judging the status of SLNs. This novel method may be a recommended strategy for identifying appropriate SLNB candidates.

Clinical Correlation Analysis of Complications in Elderly Patients with Sequelae of Stroke with Different Barthel Index in Tianjin Emergency Department.

OBJECTIVE: The Barthel index (BI) is the most commonly used measure of poststroke disability. The purpose of this article is to explore the different complications and severity of the sequelae of elderly stroke patients with different BI in the emergency department, so as to provide a theoretical basis for strengthening the treatment of elderly patients with stroke sequelae. METHODS: A retrospective study was adopted, and 1896 patients were divided into two groups according to the BI: 823 patients in the bedridden group (BI ≤ 40 points) and 1073 patients in the nonbedridden group (BI > 40 points). The type and number of complications and APACHE II score were compared between the two groups. RESULTS: Compared with the two groups, pneumonia, renal insufficiency, respiratory failure, and decubitus ulcer in the bedridden group had a higher incidence, but the incidence of upper gastrointestinal bleeding and fractures in the nonbedridden group was significantly higher (P < 0.05). The APACHE II score of the patients in the bedridden group was higher than that of the nonbedridden group, and they were critical (P < 0.001). And the number of complications was higher than that in the nonbedridden group. Moreover, the BI was negatively correlated with the APACHE-II score and the number of complications, and the APACHE II score was positively correlated with the number of complications (P < 0.001). CONCLUSION: Different complications and severity of illness occur in elderly patients with sequelae of stroke after different BI in the emergency department.

Temporal Stability of Vegetation Cover across the Loess Plateau Based on GIMMS during 1982-2013.

The Loess Plateau, covering approximately 640,000 km2, has experienced the most severe soil erosion in the world. A greening tendency has been noticed since implementing the Grain to Green Program (GTGP), which may prevent further soil erosion. Therefore, understanding the underpinning basis of greening stability and persistence is important for sustainable improvement. Global Inventory Modeling and Mapping Studies (GIMMS) normalized difference vegetation index (NDVI) datasets for 1982-2013 were used to investigate the temporal stability and persistent time (PT) of vegetation over the Loess Plateau, utilizing the coefficient of variation (CV) and the estimation of tendencies of vegetation greening starting from the selected reference conditions. Two periods from 1982 to 1999 (as the reference period) and 2000 to 2013 were selected by considering the GTGP since 1999. The results indicate that: (1) A significant increase in vegetation cover occurred in the low NDVI area (NDVI < 0.3), with a high fluctuation from 2000 to 2013 compared with the reference period. Moreover, the fluctuation in vegetation is more related to precipitation variation since 1999. (2) Most areas recovered in the greening trend of the first period starting in 2009, occurring in 28.7% (2628 of 9148) of the total area. (3) The revegetated areas have a low PT and a high CVvi, that is, the revegetated areas need a long time to recover from disturbances. Therefore, we identify the sensitive areas with PT = 4; further management needs to be implemented for sustainable development in these areas. These results provide a method to quantify the stability and persistence of the complex interactions between vegetation greenness and environmental changes, particularly in fragile areas.

Interaction Between Methylenetetrahydrofolate Reductase (MTHFR) Gene Polymorphisms and Environment with Susceptibility to Ischemic Stroke in Chinese Population.

AIMS: To investigate the association of several single-nucleotide polymorphisms (SNPs) within methylenetetrahydrofolate reductase (MTHFR) gene, and additional gene-environment interaction with ischemic stroke (IS) risk. METHODS: Testing for Hardy-Weinberg equilibrium in controls was conducted using SNPstats (online software: http://bioinfo.iconcologia.net/SNPstats). Generalized multifactor dimensionality reduction (GMDR) was used to screen the best interaction combination among four SNPs within MTHFR gene and smoking or alcohol drinking. RESULTS: The frequency of the rs4846049-A allele was 28.6% in IS patients and 19.1% in normal controls, in addition, the frequency of the rs3737967-T allele was 27.9% in IS patients and 20.3% in normal controls, which was also indicating a statistically significant difference. The rs4846049-A and rs3737967-T were associated with an increased risk of IS risk; adjusted odds ratios (ORs) (95% confidence interval [CI]) were 1.76 (1.28-2.13) and 1.51 (1.13-1.97), respectively. GMDR model found significant gene-alcohol drinking interaction combination, but no significant gene-tobacco smoking interaction combinations. In order to obtain the odds ratios and 95% CI for the joint effects of gene-alcohol drinking on IS, we conducted stratified analysis for interaction effect using logistic regression. We found that alcohol drinkers with rs4846049-CA/AA genotype also have the highest IS risk, compared with never drinkers with rs4846049-CC genotype, OR (95% CI) = 3.12 (1.83-4.45), after adjustment for age, smoke, and smoking status. CONCLUSIONS: The rs4846049-A and rs3737967-T, gene-environment interaction between rs1764391 and rs918592, gene-environment interaction between rs4846049 and alcohol drinking were all associated with increased IS risk.

Quantitative design and analysis of marine environmental monitoring networks in coastal waters of China.

The quality of seawater needs to be continuously monitored due to its effect on human life and natural ecosystems. However, the balance of the extent, spatial pattern and maintenance costs of marine environmental monitoring remains a challenging issue which is crucial for decision-makers. The main contribution of this work suggests taking advantage of two minimization criteria (TMC: integrating minimization of Kriging variance and minimization of relative error at a given confidence level) to improve the design and optimization of a marine environmental monitoring network. To achieve this purpose, the spatial simulated annealing (SSA) method is applied to identify the best locations for monitoring network optimization. For the case study, phosphate (PO4) is used as an indicator to characterize the seawater quality in northern coastal waters of Zhejiang Province, China. The 122 existing sites have redundancies (about 78 sites) that can be effectively identified and removed to reduce costs with the given relative error (less than 10%) and confidence level (95%). Some new sites can be added and adjusted to improve the quality of costal environmental monitoring based on quantitative analysis. In addition, the relationship between the number of the monitoring sites and monitoring precision is analyzed. The results suggest that the present method using TMC can provide a scientific basis for marine environmental monitoring and management.

Early evaluation of carotid elasticity by an instantaneous wave intensity technique in patients with systemic lupus erythematosus.

OBJECTIVES: To explore the application of instantaneous wave intensity for early diagnosis of systemic lupus erythematosus (SLE)-induced atherosclerosis, we observed carotid elasticity by instantaneous wave intensity in premenopausal women with SLE. METHODS: The study included 3 groups (each group with 30 participants): SLE1 (course of disease <5 years), SLE2 (course of disease ≥5 years) and healthy control. Carotid parameters, including instantaneous acceleration wave intensity, instantaneous deceleration wave intensity, negative area, stiffness constant, wave intensity pulse wave velocity, stiffness constant pulse wave velocity, pressure strain elastic modulus, arterial compliance, augmentation index, and intima-media thickness, were measured. RESULTS: Compared with the control group, the instantaneous deceleration wave intensity, stiffness constant, pressure strain elastic modulus, wave intensity pulse wave velocity, and stiffness constant pulse wave velocity were significantly increased but the arterial compliance was significantly decreased in the SLE1 and SLE2 groups (all P ≤ .01). The instantaneous acceleration wave intensity, augmentation index, and negative area tended to increase in all 3 groups, but there were no statistical differences among the groups. The instantaneous deceleration wave intensity, stiffness constant, pressure strain elastic modulus, wave intensity pulse wave velocity, and stiffness constant pulse wave velocity were significantly higher in the SLE2 group than the SLE1 group, but the arterial compliance was significantly lower in the SLE2 group than the SLE1 group (all P ≤ .01). CONCLUSIONS: Instantaneous wave intensity can be used to evaluate carotid elasticity in the patients with SLE, which is important for early prevention and treatment of cardiovascular disease.