Objective To analyze the effects of different anastomotic methods on flap survival rate and wound healing factors of patients with transplantation of superficial branch perforator flap of superficial circumflex iliac artery(SCIA).Methods A total of 100 patients with skin defects of limbs admitted to our hospital from January 2019 to August 2022 were selected and divided into end-to-end anastomosis group(56 cases)and end-to-side anastomosis group(44 cases)according to different anastomosis methods.In the end-to-end anastomosis group,the end of the flap artery was anastomosed with the end of the aortic branch in the affected area.In the end-to-side anastomosis group,the end of recipient flap artery was anastomosed with the side of aorta.Patients in both groups were followed up for 6 to 12 months,the arterial caliber,lateral caliber and anastomosis time were compared between the two groups.The survival of the flap,the occurrence of venous crisis,the shape and function of the flap and donor area were observed.Results There was no statistically significant difference in the arterial caliber or lateral caliber of patients between the two groups(P>0.05).The anastomosis time of patients in the end-to-end anastomosis group was significantly shorter than that in the end-to-side anastomosis group(P<0.05).All 56 cases in the end-to-end anastomosis group survived.In the end-to-side anastomosis group,venous crisis occurred in 4 cases,with venous thrombosis,2 cases survived after re-anastomosis,2 cases were changed to abdominal pedicled flap when venous crisis occurred again,the appearance and function of the flap and donor area were satisfactory 6 months to 1 year after surgery(P<0.05).There was no significant difference in color,thickness,vascular distribution or flexibility of donor area of patients between the two groups(P>0.05).There was no significant difference in pain,appearance,vitality and recreation of recipient area of patients between the two groups(P>0.05).Conclusion The application of different arterial anastomosis methods in the transplantation of superficial branch perforator flap of SCIA for the treatment of skin and soft tissue defects of limbs is safe and reliable,the postoperative survival of the flap is good,the healing is not affected by the anastomosis method,and the appearance of the affected area is satisfactory,which is worthy of clinical promotion.

Ziziphi spinosae semen mainly contains contents of saponins,flavonoids,alkaloids and aliphatic acids.Meanwhile,it has a variety of activities such as sedative-hypnotic,anti-anxiety,anti-depression,nerve protection,cardiovascular and cerebrovascular protection,liver protection,and antioxidant,which is widely used in medicine,food,health food and other fields.The chemical constituents,pharmacological action and clinical application of Ziziphi spinosae semen were systematically summarized in this paper by reviewing the literature,in order to provide theoretical guidance for the sustainable development of the resources and the rational use of Ziziphi spinosae semen.

This paper introduced the overview of the "eight trends" of Chinese medicinal materials(CMM) industry in 2021, analyzed the problems of CMM production, and put forward development suggestions. Specifically, "eight trends" could be summarized as follows.(1) The growing area of CMM tended to be stable, and some provinces began to release the local catalog of Dao-di herbs.(2) The protection process of new varieties accelerated, and a number of excellent varieties were bred.(3) The theory of ecological cultivation was further enriched, and the demonstration effect of ecological cultivation technology was prominent.(4) Some CMM realized complete mechanization and formed typical model cases.(5) The number of cultivation bases using the traceability platform increased, and provincial internet trading platforms were set up.(6) The construction of CMM industrial clusters accelerated, and the number of provincial-level regional brands increased rapidly.(7) Many new agricultural business entities were founded nationwide, and a variety of methods were used to drive the intensified development of CMM.(8) A number of local TCM laws were promulgated, and the management regulation of food and medicine homology substances catalogs was issued. On this basis, four suggestions for CMM production were proposed.(1) It is suggested to speed up the formulation of the national catalog of Dao-di herbs and carry out the certification of Dao-di herbs production bases.(2) Ecological planting of forest and grassland medicine should be further strengthened in terms of technical research and promotion based on the principle of ecological priority.(3) The basic work of disaster prevention should be paid more attention and technical measures for disaster mitigation should be developed.(4) The planted area of commonly used CMM should be incorporated into the national regular statistical system.
Agriculture ; Certification ; Commerce ; Industry ; China

This study used machine learning techniques combined with routine blood cell analysis parameters to build preliminary prediction models, helping differentiate patients with depression from healthy controls, or patients with anxiety. A multicenter study was performed by collecting blood cell analysis data of Beijing Chaoyang Hospital and the First Hospital of Hebei Medical University from 2020 to 2021. Machine learning techniques, including support vector machine, decision tree, naïve Bayes, random forest and multi-layer perceptron were explored to establish a prediction model of depression. The results showed that based on the blood cell analysis results of healthy controls and depression group, the accuracy of prediction model reached as high as 0.99, F1 was 0.975. Receiver operating characteristic curve area and average accuracy were 0.985 and 0.967, respectively. Platelet parameters contributed mostly to depression prediction model. While, to random forest differential diagnosis model based on the data from depression and anxiety groups, prediction accuracy reached 0.68 and AUC 0.622. Age, platelet parameters, and average volume of red blood cells contributed the most to the model. In conclusion, the study researched on the prediction model of depression by exploring blood cell analysis parameters, revealing that machine learning models were more objective in the evaluation of mental illness.
Humans ; Depression ; Bayes Theorem ; Machine Learning ; Support Vector Machine ; Blood Cell Count

This study used machine learning techniques combined with routine blood cell analysis parameters to build preliminary prediction models, helping differentiate patients with depression from healthy controls, or patients with anxiety. A multicenter study was performed by collecting blood cell analysis data of Beijing Chaoyang Hospital and the First Hospital of Hebei Medical University from 2020 to 2021. Machine learning techniques, including support vector machine, decision tree, naïve Bayes, random forest and multi-layer perceptron were explored to establish a prediction model of depression. The results showed that based on the blood cell analysis results of healthy controls and depression group, the accuracy of prediction model reached as high as 0.99, F1 was 0.975. Receiver operating characteristic curve area and average accuracy were 0.985 and 0.967, respectively. Platelet parameters contributed mostly to depression prediction model. While, to random forest differential diagnosis model based on the data from depression and anxiety groups, prediction accuracy reached 0.68 and AUC 0.622. Age, platelet parameters, and average volume of red blood cells contributed the most to the model. In conclusion, the study researched on the prediction model of depression by exploring blood cell analysis parameters, revealing that machine learning models were more objective in the evaluation of mental illness.
Humans ; Depression ; Bayes Theorem ; Machine Learning ; Support Vector Machine ; Blood Cell Count

Green agriculture has become the "wind vane" of agricultural reform in the new era. The development concept of Chinese materia medica(CMM) ecological agriculture and the emergence of new technologies provide momentum for the supply of high-quality green ecological products. As special ecological products, Dao-di herbs have medicinal, economic, ecological, and cultural values. The ecological planting of CMM and the value realization of ecological products are of great significance for the high-quality development of CMM agriculture and for prospering agriculture by improving quality. Therefore, this paper reviews the development status and typical cases, and puts forward the advantages of ecological product value realization of Dao-di herbs. On this basis, a value accounting system for ecological products of CMM was constructed from three aspects: supply services, ecological services, and cultural services. Finally, the suggestions for realizing the value of CMM ecological products are put forward.(1)It is suggested to strengthen the practice of ecological planting and production of CMM, and innovate the value realization model of ecological products.(2)The ecological planting bases of Dao-di herbs should be constructed to enhance the supply capacity of high-quality ecological products.(3)The quality and safety of ecological CMM should be improved to create the ecological planting brand of Dao-di herbs.(4)The ecological product value system and mechanism should be improved for realizing the value of CMM ecological products.(5)The education and publicity should be strengthened to raise the public awareness of the value of CMM ecological products.
Materia Medica ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal ; Plants, Medicinal ; China

Heart Septal Defects, Atrial/diagnostic imaging* ; Humans ; Liver ; Vena Cava, Inferior ; Vena Cava, Superior

China ; Health Care Costs ; Hospitalization ; Humans ; Idiopathic Pulmonary Fibrosis ; Retrospective Studies ; Tertiary Care Centers