1.Exploration of the meridian differentiation law in polycystic ovarian syndrome of hirsutism based on data mining technology.
Lingyu SHEN ; Yu XING ; Qiudan LU ; Cuimei LIANG ; Wenjin YANG ; Hui HU
Chinese Acupuncture & Moxibustion 2018;38(2):165-173
OBJECTIVETo analyze the distribution characteristics of hirsutism and the law of meridian differentiation in polycystic ovarian syndrome (PCOS).
METHODSFor the patients of PCOS, the modified Ferriman-Gallwey score (mF-G score) was adopted to evaluate the hirsutism distribution. The clementine data mining software was used to analyze the distribution region of hirsutism and the correlation with meridian.
RESULTSA total of 141 patients of PCOS participated in the study. The most common regions of hirsutism were in the upper lip (50.35%) and the lower abdomen (34.04%). The higher frequencies of hirsutism at two regions were at the upper lip and lower abdomen (24.82%), the upper lip and chest (12.06%) and the upper lip and thigh (11.35%). In the analysis on the correlation of the upper lip, lower abdomen and chest with other regions, hirsutism was more common in the nearby regions. In reference to the running course of meridian, the frequencies of hirsutism from high to low were the conception vessel (63.12%), the thoroughfare vessel (61.70%), the liver meridian of foot-(58.16%) and the stomach meridian of foot-(57.45%). According to:-, the high incidence of hirsutism (59.57%) resulted from the change ofand blood inmeridian. .
CONCLUSIONBlood plays the important role in the growth of body hair. Regarding theattribution, the incidence of hirsutism at theregions is higher than theregions. The occurrence of hirsutism is closely related toand blood changes in meridians. The conception vessel, the thoroughfare vessel, the liver meridian of foot-andmeridian act highly on the disease.
2.Improved discharge survival in pre-hospital cardiac arrest patients: the Shenzhen Bao'an experience
Wenwu ZHANG ; Jinfeng LIANG ; Qingli DOU ; Jun XU ; Jinle LIN ; Conghua WANG ; Wuyuan TAO ; Xianwen HUANG ; Wenhua LIU ; Yujie LI ; Xiaoming ZHANG ; Cuimei XING ; Huadong ZHU ; Xuezhong YU
Chinese Journal of Emergency Medicine 2024;33(11):1518-1523
Objective:Cardiac arrest (CA) represents a significant public health challenge, posing a substantial threat to individual health and survival. To enhance the survival rates of patients experiencing out-of-hospital cardiac arrest (OHCA), Baoan District in Shenzhen City has undertaken exploratory initiatives and practical interventions, yielding promising preliminary outcomes.Methods:1.Innovate emergency medical services by developing a "four-circle integration" system that connects to the hospital. This system encompasses the social emergency medical system, the out-of-hospital emergency medical system, the in-hospital emergency medical service system, and the intensive care treatment system. 2.Develop a comprehensive model for the construction of a social emergency medical training system, characterized by party leadership, government oversight, departmental coordination, professional guidance, technological support, and community involvement, termed the "Baonan Model." Additionally, establish evaluation criteria to assess the effectiveness of the social emergency medical training system in Baonan District; 3. Develop a cardiac arrest registration system and a social emergency medical training management system for Baonan District; 4. Enhance the proficiency in treatment techniques and the quality of cardiopulmonary resuscitation among emergency medical professionals; 5. Strengthen and advance the development of a "five-minute social rescue network" to address the critical "emergency window period." .Result:In Baonan District, 9.18% of the public is trained in emergency medical skills. The bystander CPR rate for OHCA is 26.11%, AED use is at 4.78%, the 30-day survival rate is 6.31%, and the discharge survival rate is 4.44%.Conclusion:The implementation of the aforementioned measures can substantially enhance the survival rate of patients experiencing OHCA at the time of discharge.