Falls are one of the most common injuries, with a high prevalence and risk of disability, which poses the greatest threat to the health of the elderly. Falls are influenced by a variety of factors, including environmental factors such as slippery pavements, poor meteorological conditions, and inadequate lighting. The Sixth Assessment Report of the United Nations Intergovernmental Panel on Climate Change (IPCC) stated that climate change has become more frequent and stronger in recent years, which may threat people's health and lives. This review summarized the progress of epidemiological studies on the association between meteorological factors (e.g. temperature, precipitation, frost, and snowfall) and falls, and found that most of the studies focused on the association between temperature and falls, and the results of different studies varied greatly. While the studies on the association between other meteorological factors and falls were relatively few. Moreover, the mechanisms behind the associations were unclear. Therefore, we point out that it is necessary to further conduct large-sample and multi-centre studies to evaluate the effects of exposure to multiple meteorological factors, and further to explore the mechanisms of the associations, which may provide scientific evidence for better response to climate change.

ObjectiveTo establish a qualitative analysis method for the chemical constituents of the reference sample of Xiao Xumingtang， and to establish the fingerprint of 15 batches of Xiao Xumingtang， so as to evaluate the quality consistency among batches. MethodAccording to the key information of Xiao Xumingtang in the Key Information Table of Ancient Famous Classical Formulas（25 Formulas）， the reference sample of this formula was prepared， and it was detected by ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）. The chemical components were identified by self-constructed database， consulting relevant literature， and comparing with the reference substances， and the components were assigned by comparing with single drug samples and negative samples lacking single drug. The fingerprint of the reference sample of Xiao Xumingtang was established using high performance liquid chromatography（HPLC）， and the common peaks were assigned and identified through single drug samples and negative samples lacking single drug. ResultBased on the information of MS fragments， relevant literature， and database retrieval， a total of 64 compounds were identified and inferred from the reference sample of Xiao Xumingtang， including 31 flavonoids， 8 terpenoids， 12 triterpenoid saponins， 2 phthalides， 3 phenylpropanoids， 2 gingerols， 5 alkaloids， and 1 cyanoside. Among them， 21 were derived from Scutellariae Radix， 10 from stir-fried Glycyrrhizae Radix et Rhizoma， 9 from Ginseng Radix et Rhizoma， 8 from Paeoniae Radix Alba， 4 from Saposhnikoviae Radix， 3 from Stephaniae Tetrandrae Radix， 3 from Chuanxiong Rhizoma， 2 from Aconiti Lateralis Radix Praeparata， 2 from Zingiberis Rhizoma Recens， 1 from Ephedrae Herba， and 1 from Armeniacae Semen Amarum. The established HPLC fingerprint of the reference sample of Xiao Xumingtang had 23 common peaks， among which， peaks 1 and 2 were derived from Paeoniae Radix Alba， peaks 3 and 7 from Saposhnikoviae Radix， peaks 4， 8 and 9 from Stephaniae Tetrandrae Radix， peaks 10， 17， 18， 20 and 21 from stir-fried Glycyrrhizae Radix et Rhizoma， peaks 11-16， 19 and 22 from Scutellariae Radix， peak 5 from Chuanxiong Rhizoma， peak 23 from Zingiberis Rhizoma Recens， peak 6 was the common component of stir-fried Glycyrrhizae Radix et Rhizoma and Scutellariae Radix. A total of 10 compounds including albiflorin（peak 1）， paeoniflorin（peak 2）， cimicifugoside（peak 3）， 5-O-methylvisammioside（peak 7）， baicalin（peak 11）， sec-O-glucosylhamaudol（peak 13）， oroxylin A-7-O-β-D-glucuronide（peak 15）， wogonoside（peak 16）， glycyrrhizic acid（peak 21） and 6-gingerol（peak 23） were identified. The similarities of 15 batches of reference samples were>0.999， indicating that the reference samples had good consistency. ConclusionThrough the identification of the chemical constituents in the reference sample of Xiao Xumingtang， it is clear that the composition of the samples is mainly composed of flavonoids and triterpenoid saponins. The established fingerprint can basically reflect the overall chemical characteristics of the reference sample of Xiao Xumingtang， which can provide a basis for the quality research of its compound preparations.

Objective To explore the association between green space and the risk of dyslipidemia. Methods ^“Dyslipidemia^” and ^“ Normalized Difference Vegetation Index (NDVI)^” were used as search terms to search PubMed, Embase, and Web of Science databases for studies up to September 2023. ARHQ statistical assessment and review tool and NOS scale were employed to evaluate the quality of the studies. R 4.3.1 software was used for meta-analysis. Results A total of 11 studies were included, of which 5 cross-sectional studies and 5 cohort studies were rated as ^“high quality^”. The results of meta-analysis showed that an increase in NDVI in some buffer zones was associated with reduced risks of hypercholesterolemia, hypertriglyceridemia, low HDL-C, and high LDL-C, while an increase in NDVI in 100m buffer zone was significantly associated with reduced risks of all these four diseases, with hypercholesterolemia (OR=0.87, P<0.05), hypertriglyceridemia (OR=0.94, P<0.05), low HDL-C (OR=0.95, P<0.05), and high LDL-C (OR=0.87, P<0.05). Sensitivity analysis suggested that the results of most meta-analyses were robust. Conclusion With the increase in green space near residential areas, the risk of dyslipidemia may decrease.

Objective: To analyze the clinical and molecular diagnostic status of Fanconi anemia (FA) in China. Methods: The General situation, clinical manifestations and chromosome breakage test and genetic test results of 107 pediatric FA cases registered in the Chinese Blood and Marrow Transplantation Registry Group (CBMTRG) and the Chinese Children Blood and Marrow Transplantation Registry Group (CCBMTRG) from August 2009 to January 2022 were analyzed retrospectively. Children with FANCA gene variants were divided into mild and severe groups based on the type of variant, and Wilcoxon-test was used to compare the phenotypic differences between groups. Results: Of the 176 registered FA patients, 69 (39.2%) cases were excluded due to lack of definitive genetic diagnosis results, and the remaining 107 children from 15 hospitals were included in the study, including 70 males and 37 females. The age at transplantation treatment were 6 (4, 9) years. The enrolled children were involved in 10 pathogenic genes, including 89 cases of FANCA gene, 7 cases of FANCG gene, 3 cases of FANCB gene, 2 cases of FANCE gene and 1 case each of FANCC, FANCD1, FANCD2, FANCF, FANCJ, and FANCN gene. Compound heterozygous or homozygous of loss-of-function variants account for 69.2% (72/104). Loss-of-function variants account for 79.2% (141/178) in FANCA gene variants, and 20.8% (37/178) were large exon deletions. Fifty-five children (51.4%) had chromosome breakage test records, with a positive rate of 81.8% (45/55). There were 172 congenital malformations in 80 children.Café-au-Lait spots (16.3%, 28/172), thumb deformities (16.3%,28/172), polydactyly (13.9%, 24/172), and short stature (12.2%, 21/172) were the most common congenital malformations in Chinese children with FA. No significant difference was found in the number of congenital malformations between children with severe (50 cases) and mild FANCA variants (26 cases) (Z=-1.33, P=0.185). Conclusions: FANCA gene is the main pathogenic gene in children with FA, where the detection of its exon deletion should be strengthened clinically. There were no phenotypic differences among children with different types of FANCA variants. Chromosome break test is helpful to determine the pathogenicity of variants, but its accuracy needs to be improved.
Male ; Female ; Humans ; Child ; Fanconi Anemia/genetics* ; Chromosome Breakage ; Retrospective Studies ; Exons ; China/epidemiology*

Aim To investigate the slope ratio method for the determination of anticoagulant activity of leeches. Methods Three batches of leeches, four groups of Japanese medical vermiculite yinpian and fifteen groups of leech preparations were chosen, with contrast medicinal leeches herbs and Philippine cattle leech contrast medicinal materials, and different concentrations of leaching solutions were prepared in parallel. APTT value was determined after anticoagulant activity was determined by slope ratio method for the joint validation of laboratory, intermediate precision and accuracy between the linear range. Results The slope ratio method was accurate and accurate in the determination of anticoagulant activity of leeches, with linearity between 64% and 156% relative titer level. Conclusion Slope ratio method can be used to determine the anticoagulant activity of leeches.

In existing vascular interventional surgical robots, it is difficult to accurately detect the delivery force of the catheter/guidewire at the slave side. Aiming to solve this problem, a real-time force detection system was designed for vascular interventional surgical (VIS) robots based on catheter push force. Firstly, the transfer process of catheter operating forces in the slave end of the interventional robot was analyzed and modeled, and the design principle of the catheter operating force detection system was obtained. Secondly, based on the principle of stress and strain, a torque sensor was designed and integrated into the internal transmission shaft of the slave end of the interventional robot, and a data acquisition and processing system was established. Thirdly, an ATI high-precision torque sensor was used to build the experimental platform, and the designed sensor was tested and calibrated. Finally, sensor test experiments under ideal static/dynamic conditions and simulated catheter delivery tests based on actual human computed tomography (CT) data and vascular model were carried out. The results showed that the average relative detection error of the designed sensor system was 1.26% under ideal static conditions and 1.38% under ideal dynamic stability conditions. The system can detect on-line catheter operation force at high precision, which is of great significance towards improving patient safety in interventional robotic surgery.
Catheters ; Equipment Design ; Humans ; Mechanical Phenomena ; Robotic Surgical Procedures/methods* ; Robotics

Objective:To explore sex and rural-urban differences in the associations of different blood pressure levels with the risk of prediabetes.Methods:We used a multi-stage stratified cluster random sampling method to investigate 21 637 residents aged ≥18 years from 10 survey areas in Hubei province in 2020. The data on questionnaire, physical measurements, and laboratory indicators of the participants were collected. The associations of different blood pressure levels with risk of prediabetes by sex and regions were analyzed using multivariate logistic regressions after complex weighting.Results:A total of 16 111 subjects were included. The prevalence (95% CI) of prediabetes, impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and IFG complicated with IGT were 25.1% (14.4%-35.9%), 12.7% (3.2%-22.1%), 8.1% (6.3%-9.8%), and 4.4% (2.3%-6.5%), respectively. After multivariate adjustment, the risk of prediabetes, IFG, IGT, and IFG complicated with IGT increased with the increment of blood pressure (both P for trend <0.05). The positive dose-response relationships between blood pressure levels and risk of prediabetes were also significant among male, urban, and rural residents (both P for trend <0.05), and the interactions between sex and blood pressure showed significant associations for risk of prediabetes and IGT (both P for interaction <0.05). Conclusions:Higher blood pressure levels were associated with an increased risk of prediabetes. The association with prediabetes was stronger in males, but no significant difference was found between urban and rural residents. More distinctive and effective prevention and control strategies should be developed for different populations.

Objective: To investigate the image quality of ultralow-dose CT (ULDCT) of the chest reconstructed using a cycle-consistent generative adversarial network (CycleGAN)-based deep learning method in the evaluation of pulmonary tuberculosis. Materials and Methods: Between June 2019 and November 2019, 103 patients (mean age, 40.8 ± 13.6 years; 61 men and 42 women) with pulmonary tuberculosis were prospectively enrolled to undergo standard-dose CT (120 kVp with automated exposure control), followed immediately by ULDCT (80 kVp and 10 mAs). The images of the two successive scans were used to train the CycleGAN framework for image-to-image translation. The denoising efficacy of the CycleGAN algorithm was compared with that of hybrid and model-based iterative reconstruction. Repeated-measures analysis of variance and Wilcoxon signedrank test were performed to compare the objective measurements and the subjective image quality scores, respectively. Results: With the optimized CycleGAN denoising model, using the ULDCT images as input, the peak signal-to-noise ratio and structural similarity index improved by 2.0 dB and 0.21, respectively. The CycleGAN-generated denoised ULDCT images typically provided satisfactory image quality for optimal visibility of anatomic structures and pathological findings, with a lower level of image noise (mean ± standard deviation [SD], 19.5 ± 3.0 Hounsfield unit [HU]) than that of the hybrid (66.3 ± 10.5 HU, p < 0.001) and a similar noise level to model-based iterative reconstruction (19.6 ± 2.6 HU, p > 0.908). The CycleGAN-generated images showed the highest contrast-to-noise ratios for the pulmonary lesions, followed by the model-based and hybrid iterative reconstruction. The mean effective radiation dose of ULDCT was 0.12 mSv with a mean 93.9% reduction compared to standard-dose CT. Conclusion The optimized CycleGAN technique may allow the synthesis of diagnostically acceptable images from ULDCT of the chest for the evaluation of pulmonary tuberculosis.

Objective: To investigate the image quality of ultralow-dose CT (ULDCT) of the chest reconstructed using a cycle-consistent generative adversarial network (CycleGAN)-based deep learning method in the evaluation of pulmonary tuberculosis. Materials and Methods: Between June 2019 and November 2019, 103 patients (mean age, 40.8 ± 13.6 years; 61 men and 42 women) with pulmonary tuberculosis were prospectively enrolled to undergo standard-dose CT (120 kVp with automated exposure control), followed immediately by ULDCT (80 kVp and 10 mAs). The images of the two successive scans were used to train the CycleGAN framework for image-to-image translation. The denoising efficacy of the CycleGAN algorithm was compared with that of hybrid and model-based iterative reconstruction. Repeated-measures analysis of variance and Wilcoxon signedrank test were performed to compare the objective measurements and the subjective image quality scores, respectively. Results: With the optimized CycleGAN denoising model, using the ULDCT images as input, the peak signal-to-noise ratio and structural similarity index improved by 2.0 dB and 0.21, respectively. The CycleGAN-generated denoised ULDCT images typically provided satisfactory image quality for optimal visibility of anatomic structures and pathological findings, with a lower level of image noise (mean ± standard deviation [SD], 19.5 ± 3.0 Hounsfield unit [HU]) than that of the hybrid (66.3 ± 10.5 HU, p < 0.001) and a similar noise level to model-based iterative reconstruction (19.6 ± 2.6 HU, p > 0.908). The CycleGAN-generated images showed the highest contrast-to-noise ratios for the pulmonary lesions, followed by the model-based and hybrid iterative reconstruction. The mean effective radiation dose of ULDCT was 0.12 mSv with a mean 93.9% reduction compared to standard-dose CT. Conclusion The optimized CycleGAN technique may allow the synthesis of diagnostically acceptable images from ULDCT of the chest for the evaluation of pulmonary tuberculosis.

Abstract Attention deficit hyperactivity disorder (ADHD) is a common childhood psycho behavioral disorder, the exact cause of which is currently unclear. It is generally believed that its incidence is a combination of biological, environmental, and psychological factors. In China at present, the common intervention measures for this disorder are mainly drug treatments, and non medication treatment including EEG Biofeedback environmental Modifications and Self regulation, is relatively inadequate. Non medication treatment is generally targeted at the social function defects associated with this disease; its efficacy is longer lasting and it is safer. This article analyzes the principles, methods, efficacy, shortcomings, and prospects of the non medication treatment of ADHD.