Due to the wide variety and varying quality of medical wound dressings, as well as the current lack of unified national or industry standards for regulation, this paper proposes a research strategy for establishing a quality evaluation system for medical wound dressings‌. By developing a technical roadmap, this strategy clarifies the process flow and key points in the quality evaluation process, establishes evaluation methods for various types of medical wound dressings, and addresses important issues such as how to determine key performance indicators based on product characteristics and how to research and validate test methods for key items. This provides a detailed and feasible research strategy and evaluation method for medical wound dressing manufacturers, testing institutions, and regulatory authorities. It reduces the difficulty and cost of quality evaluation for medical wound dressings and has certain significance in standardizing and improving their quality level, ensuring their safety and effectiveness, and serving the quality and safety regulation of medical devices.‌.
Bandages/standards* ; Quality Control ; Humans ; Wounds and Injuries/therapy*

A complete plant body consists of elements on different scales, including microscopic molecules, mesoscopic multicellular structures, and macroscopic tissues and organs, which are interconnected to form complex biological networks. The growth and development of plants involve the regulation of elements on different scales and their biological networks, which requires the coordinated operation of multiple molecules, cells, tissues, and organs. It is difficult to reveal the essence of multi-level life activities by a single method or technology. In recent years, the development of various novel imaging technologies has provided new approaches for revealing the complex life activities in plants. Using multi-modal imaging technologies to study the cross-scale network connections of plants from the microscopic, mesoscopic, and macroscopic levels is crucial for understanding the complex internal connections behind biological functions. This paper first summarizes multi-modal cross-scale imaging technologies, three-dimensional reconstruction, and image processing methods, outlines the basic framework of cross-scale network connection properties, and then summarizes the applications of multi-modal imaging technologies in elucidating plant multi-scale networks. Finally, this review systematically integrates the combined analysis of cross-scale 3D spatial structural data and single-cell omics, laying a theoretical foundation for the innovation of novel plant imaging technologies. Furthermore, it provides a new research paradigm for in-depth exploration of the interaction mechanisms among cross-scale elements and the principles of biological network connectivity in plant life activities.
Plants/metabolism* ; Imaging, Three-Dimensional/methods* ; Image Processing, Computer-Assisted/methods* ; Multimodal Imaging/methods* ; Plant Physiological Phenomena

The high-quality development requirements for public hospitals,national examination orientations,and DIP medical insurance payment reforms present significant challenges to the refined management of public hospitals.Therefore,it is essential to enhance the operational management of these institutions.This paper aims to develop an operation evaluation index system for clinical departments using the Delphi method for assessing the efficiency of resource input and output across various clinical departments.It provides a scientific basis for decision-making regarding resource allocation,transformation towards re-fined management,and the enhancement of operational guidance for departments.

Objective To explore the CT imaging features and independent risk factors for cystic pulmonary nodules and establish a malignant probability prediction model. Methods The patients with cystic pulmonary nodules admitted to the Department of Thoracic Surgery of the First People's Hospital of Neijiang from January 2017 to February 2022 were retrospectively enrolled. They were divided into a malignant group and a benign group according to the pathological results. The clinical data and preoperative chest CT imaging features of the two groups were collected, and the independent risk factors for malignant cystic pulmonary nodules were screened out by logistic regression analysis, so as to establish a prediction model for benign and malignant cystic pulmonary nodules. Results A total of 107 patients were enrolled. There were 76 patients in the malignant group, including 36 males and 40 females, with an average age of 59.65±11.74 years. There were 31 patients in the benign group, including 16 males and 15 females, with an average age of 58.96±13.91 years. Multivariate logistic analysis showed that the special CT imaging features such as cystic wall nodules [OR=3.538, 95%CI (1.231, 10.164), P=0.019], short burrs [OR=4.106, 95%CI (1.454, 11.598), P=0.008], cystic wall morphology [OR=6.978, 95%CI (2.374, 20.505), P<0.001], and the number of cysts [OR=4.179, 95%CI (1.438, 12.146), P=0.009] were independent risk factors for cystic lung cancer. A prediction model was established: P=ex/(1+ex), X=–2.453+1.264×cystic wall nodules+1.412×short burrs+1.943×cystic wall morphology+1.430×the number of cysts. The area under the receiver operating charateristic curve was 0.830, the sensitivity was 82.9%, and the specificity was 74.2%. Conclusion Cystic wall nodules, short burrs, cystic wall morphology, and the number of cysts are the independent risk factors for cystic lung cancer, and the established prediction model can be used as a screening method for cystic pulmonary nodules.

Abstract The COVID-19 pandemic has posed a series of complex challenges. COVID-19 in children and adolescents is generally less severe than in adults and the elderly; however, some children and adolescents may experience severe complications and adverse health effects even after mild or asymptomatic COVID-19 infections. The article focuses on gathering the epidemic characteristics, health impact, risk factors, prevention and control measures, and vaccination status of children and adolescents with COVID-19 infection to provide recommendations for protecting children and adolescents in the post COVID-19 era.

Objective To explore the clinical efficacy of laser-assisted sclerectomy and cataract extraction combined with angle separation in the treatment of angle-closure glaucoma.Methods A total of 162 patients with angle closure glaucoma were selected as the research subjects.Eighty-one patients in the experimental group under-went laser-assisted sclerectomy and cataract extraction combined with angle separation,and another 81 patients in the control group underwent cataract extraction combined with angle separation.The therapeutic effects of two groups of patients were observed.Results The postoperative visual acuity,BCVA,angle width,and corneal endothelial cell count of the experimental group were higher than those of the control group,but the intraocular pressure,central anterior chamber depth,and corneal thickness were all lower than those in the control group.The incidence of adverse reactions in the experimental group(6.2% )was lower than that in the control group(13.6% ).During postop-erative follow-up,there was no further increase in intraocular pressure in the two groups,while the height of filtering blebs in the control group decreased significantly when compared with that in the experimental group.One month after surgery,the BCVA and corneal endothelial cell count in the experimental group were higher than those in the control group(P<0.05),and the corneal thickness was lower than that in the control group(P<0.05),but no statistical significance was found at 3 and 6 months after surgery.The astigmatism in the experimental group was better than that in the control group 3 months after surgery,but there was no statistically significant difference at 1 month and 6 months after surgery.Conclusion Laser-assisted sclerectomy and cataract extraction combined with angle separa-tion are effective and safe in the treatment of angle closure glaucoma.

Objective    To predict the probability of lymph node metastasis after thoracoscopic surgery in patients with lung adenocarcinoma based on nomogram. Methods    We analyzed the clinical data of the patients with lung adenocarcinoma treated in the department of thoracic surgery of our hospital from June 2018 to May 2021. The patients were randomly divided into a training group and a validation group. The variables that may affect the lymph node metastasis of lung adenocarcinoma were screened out by univariate logistic regression, and then the clinical prediction model was constructed by multivariate logistic regression. The nomogram was used to show the model visually, the receiver operating characteristic (ROC) curve, calibration curve and clinical decision curve to evaluate the calibration degree and practicability of the model. Results    Finally 249 patients were collected, including 117 males aged 53.15±13.95 years and 132 females aged 47.36±13.10 years. There were 180 patients in the training group, and 69 patients in the validation group. There was a significant correlation between the 6 clinicopathological characteristics and lymph node metastasis of lung adenocarcinoma in the univariate logistic regression. The area under the ROC curve in the training group was 0.863, suggesting the ability to distinguish lymph node metastasis, which was confirmed in the validation group (area under the ROC curve was 0.847). The nomogram and clinical decision curve also performed well in the follow-up analysis, which proved its potential clinical value. Conclusion    This study provides a nomogram combined with clinicopathological characteristics, which can be used to predict the risk of lymph node metastasis in patients with lung adenocarcinoma with a diameter≤3 cm.

Objective:To analyze the genetic variants of two consanguineous Chinese pedigrees affected with Hereditary prokallikrein (PK) and High molecular weight kininogen (HMWK) deficiency and explore their molecular pathogenesis.Methods:A PK deficiency pedigree (10 individuals from 4 generations) and a HMWK deficiency pedigree (6 individuals from 3 generations) which were admitted to the First Affiliated Hospital of Wenzhou Medical University on December 3, 2021 and June 16, 2022, respectively were selected as the study subjects. Clinical data of the two pedigrees were collected, and the related coagulation indexes of the probands and their family members were determined. Genomic DNA of the two pedigrees was extracted from peripheral blood samples. This study was approved by the First Affiliated Hospital of Wenzhou Medical University (Ethics No. KY2022-R193).Results:The plasma PK activity of proband A, a 29-year-old female, and her brother were extremely low (< 1.0%). Proband B was a 66-year-old male with extremely low plasma HMWK activity (< 1.0%). Genetic sequencing revealed that the proband A and her brother had both harbored a homozygous c. 417_418insCATTCTTA (p.Arg140Hisfs*3) insertional variant in exon 5 of the KLKB1 gene, with her grandmother, maternal grandmother, father, mother, sister and son all carrying heterozygous insertion variant, and her ancestor father and husband are both wild-type. Proband B had harbored a homozygous c. 460C>A (p.Pro154Thr) missense variant in exon 4 of the KNG1 gene, and his son carries a heterozygous missense variant. All other members of the pedigree are wild type. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the variants were respectively rated as pathogenic (PVS1+ PM2_Supporting+ PM4) and likely pathogenic (PS4+ PM2_Supporting+ PP3+ PP4). Conclusion:The c. 417_418insCATTCTTA (p.Arg140Hisfs*3) variant of the KLKB1 gene and the c. 460C>A (p.Pro154Thr) variant of the KNG1 gene probably underlay the decreased PK and HMWK activities in the two pedigrees, respectively.

Objective To explore the value of ultrafast pulse wave velocity(UFPWV)technique for evaluating changes of carotid artery elasticity in Hashimoto thyroiditis(HT)patients with euthyroidism.Methods Conventional ultrasound and UFPWV for carotid artery were prospectively performed in 91 HT patients with euthyroidism(HT group)and 81 healthy subjects(control group).Clinical data and ultrasonic parameters were compared between groups.Spearman correlation analysis was performed to observe the correlations of carotid pulse wave velocity in end of systole(PWV-ES)with clinical indexes and other ultrasonic parameters in HT group.Multiple stepwise linear regression analysis was used to screen the independent impact factors of increased carotid PWV-ES in HT group.Results Significant differences of thyroid peroxidase antibody(TPOAb),thyroglobulin antibody(TgAb),total cholesterol(TC),low density lipoprotein and neutrophil-lymphocyte ratio(NLR)were found between groups(all P＜0.05).The carotid PWV-ES in HT group was significantly higher than that in control group(P＜0.05),while no significant difference of carotid artery intima-media thickness(CIMT)nor carotid pulse wave velocity in beginning of systole(PWV-BS)was found between groups(both P＞0.05).Carotid PWV-ES in HT group was positively correlated with patients'age,body mass index,TPOAb,TC,triglyceride,NLR and CIMT(r=0.217-0.707,all P＜0.05).Patients'age,TPOAb and NLR were all independent impact factors of increased carotid PWV-ES in HT patients with euthyroidism(all P＜0.05).Conclusion UFPWV technique could be used to evaluate changes of carotid artery elasticity in HT patients with euthyroidism,among which PWV-ES was relatively sensitive.