1.Research progress on evaluation and intervention of enteral nutrition intolerance in critically ill patients
Pengmin LIAN ; Xiaoxue ZHANG ; Lixia ZHONG ; Xinran WANG
Chinese Journal of Practical Nursing 2020;36(33):2636-2641
During the treatment of critically ill patients, the application of enteral nutrition is increasingly widespread, but its series of complications also deserve attention. Among them, the incidence of intestinal nutrition intolerance is as high as 30.5%-75%. In recent years, researchers at home and abroad have carried out researches on the evaluation and intervention of intestinal nutrition intolerance. The application of the research results has improved the nutritional tolerance of patients. In order to provide more comprehensive and new research information, the following review is now conducted.
2.Influencing factors of medical adhesive-related skin injury at the site of central venous catheter placement in ICU patients
Jing GUO ; Xiaoxue ZHANG ; Lixia ZHONG ; Xinran WANG
Chinese Journal of Modern Nursing 2021;27(32):4346-4350
Objective:To explore the influencing factors of medical adhesive-related skin injury (MARSI) at the site of central venous catheter (CVC) placement in ICU patients.Methods:Using the convenient sampling method, a total of 479 patients who were admitted to General Surgery ICU and Vascular Surgery ICU of a Class Ⅲ Grade A hospital in Beijing were selected as the research objects from January to November 2019. A self-designed data collection form was used for investigation. Binomial Logistic regression was used to analyze the influencing factors of MARSI at the CVC placement site in ICU patients.Results:The incidence of MARSI at the CVC placement site in ICU patients was 6.89% (33/479) . Binary logistic regression analysis showed that age, length of stay in ICU, NRS 2002 score and skin edema were risk factors for MARSI at the CVC placement site in ICU patients ( OR=1.033, 1.005, 4.221, 13.107; P<0.05) . Serum albumin and normal skin color were protective factors for MARSI at the CVC placement site in ICU patients ( OR=0.876, 0.052; P<0.01) . Conclusions:Nurses should strengthen the evaluation and intervention of ICU patients with risk factors for MARSI to effectively prevent the occurrence of MARSI at the CVC placement site.
3.Data Mining Research on Academic Thought of Treating Chest Pain from Famous Medicalists since the Han Dynasty
Haifang WU ; Qingyong HE ; Jiangquan LIAO ; Xudong LIU ; Xiaoxue ZHONG ; Tao YANG
World Science and Technology-Modernization of Traditional Chinese Medicine 2017;19(4):674-679
The analysis on regularity of comparability among famous physician's prescriptions for treating chest pain since the Han Dynasty will be helpful to treat chest pain and develop new herbs.The Chinese Medicine Auxiliary System (V2.5) was used to analysis the regularity of comparability by inputting the most famous 101 prescriptions for the treatment of chest pain from the Han Dynasty to Qing Dynasty.The results showed that the most common single drugs were cassia twig,40 times (39.6%).The most common couplet medicines were licorice and poria cocos,21 times (20.8%).The most common triangle medicines were ginger,pinellia,and cassia twig,13 times (12.9%).The most common drug combination based on association rules was the combination of cassia twig,peucedani radix→ginger (confidence level of 0.909 1).The core drugs based on complex network was cassia twig,licorice,and etc.New prescription combinations based on the entropy method were 11 new prescriptions including allium,cassia twig,poria,and almonds.It was concluded that there were regularity of comparability in ancient prescriptions for treating chest pain.Approaching and developing medicine for the treatment of chest pain should be from the following 6 points.The priority choice of single drug was cassia twig,and etc.The priority choice of couplet medicines was licorice and poria cocos,etc.The priority choice of triangle medicines was ginger,pinellia,cassia twig,and etc.The combination of high correlation should be chosen in treating chest pain,such as cassia twig,peucedani radix→ginger,and etc.The core drugs are necessary.In the warming yang method,cassia twig is the core drug and ginger is the auxiliary drug,and etc.New prescription combination,such as allium,cassia twig,poria,almonds,and etc.should be applied.
4.Ancient TCM doctors’views on treatment of vertigo since Han Dynasty:a data mining research
Xudong LIU ; Qingyong HE ; Haifang WU ; Xiaoxue ZHONG
Journal of Beijing University of Traditional Chinese Medicine 2016;39(11):920-925
Objective To study 15 famous ancient TCMdocotors’prescribing herbal medicines for treat-ment of vertigo from Han Dynasty and the following periods,so as to provide basis for clinical treatment on vertigo as well as for researching and developing new medicines for treating vertigo.Methods A total of 128 traditional Chinese medicine prescriptions were collected and input into TCMInheritance Auxiliary Platform Version 2.5.Using the method of improved mutual information entropy clustering,association rules,complex systems entropy clustering and unsupervised entropy hierarchical clustering,the pattern types,pairs of drugs (two Chinese medicines used together),triangle drugs (three Chinese medicines used together),association rules of drugs,evolution and extraction of combination of the core drugs,and prescriptions newfound were analyzed.Results The leading pattern of vertigo was hyperactivity of liver yang (frequency:30;rate:23.4%.Same below).The most commonly used herbal medicine was Fuling (49,38.3%),and the most common pair of drugs was Zhigancao-Baizhu (29,22.7%),the most com-mon triangle drugs was Zhigancao-Baizhu-Fuling (17,13.3%).The drugs combination with high corre-lation was Baizhu-Danggui→Zhigancao,with support of 10% and confidence of 0.937 5.Altogether 22 sets of triangle drugs were extracted,in which the core drugs were Renshen,Baizhu,Zhigancao,Chen-pi,Fuling,Danggui.And 11 new prescriptions were available.Conclusion For research and develop-ment of new drugs on vertigo,we should focus on the pattern of hyperactivity of liver yang;prior compati-bility rules are Baizhu,Danggui with Zhigancao and Chenpi,Baizhu with Renshen and Zhigancao,Ren-shen with Baizhu;when formulate a new prescrption,Fuling,Fushen,Zhigancao,Chenpi,Sangye,Ju-hua,Baizhu and Renshen deserve the priority.
5.Data mining of medicinal combination from Chinese medicine formula for coronary heart disease
Xiaoxue ZHONG ; Qingyong HE ; Xiangjun YIN ; Guifang ZHAO
Journal of Beijing University of Traditional Chinese Medicine 2017;40(4):344-349
Objective To explore the law of medicinal combinationin traditional Chinese medicine for coronary heart disease using data mining method in order to provide reference for research and development of new drug.Methods This study built a new database based on 263 compound Chinese medicine formulas for coronary heart disease, which were selected from the National Patent Database from September 1985 to July 2015.Association rules, complex network analysis and entropy method were applied to explore the combination law of traditional Chinese compound formula using the traditional Chinese medicine inheritance system software (V2.5).Results Among the selected 263 compound formulas, the most complex one consisted of 30 herbs;the simplest,only one herb;with an average of 6.20±6.10 herbs in one formula.Activating blood and resolving stasis was the most common therapeutic principle(87 cases, 33.08%).Radix et Rhizoma Salviae Miltiorrhizae (Danshen root, Danshen) was the most frequently used herb(143 cases,54.40%);the combination of Danshen and Rhizoma Chuanxiong (Chuanxiong Rhizome, Chuanxiong), and Danshen,Chuanxiong, and Flos Carthami(Safflower, Honghua), were the most frequent couple and triple combination respectively (62, 23.57% and 33, 12.55%);Based on the association rules, frequent medicinal combination were Semen Persicae(Peach Kernel, Taoren)→Honghua(CC=0.844);Lignum Dalbergiae Odoriferae(Rosewood,Jiangxiang)→Danshen(CC=0.84);Honghua, Radix Paeoniae Rubra (red peony root,Chishao) →Chuanxiong(CC=1);Chuanxiong, Taoren→Honghua(CC=0.952).Based on complex network analysis,the core medicinals identified were Radix et Rhizoma Notoginseng(Pseudoginseng Root, Sanqi), Danshen, Honghua, Radix Angelicae Sinensis(Chinese Angelica,Danggui), Chuanxiong, Radix Astragali(Astragalus Root,Huangqi), Radix et Rhizoma Glycyrrhizae(Licorice Root, Gancao), and Radix Ophiopogonis(Dwarf Lilyturf Tube, Maidong).The new compound extracted by entropy method involved Radix Aucklandiae(Common Aucklandia Root,Muxiang), Styrax(Storax, Suhexiang) Benzoinum (Benzoin, Anxixiang), Camphora (Camphor, Zhangnao), Herba Menthae(Field Mint,Bohe), Rhizoma Alpiniae Officinarum (Galangal,Gaoliangjiang), Radix Paeoniae Alba (Galangal White Peony Root,Baishao), Pericarpium Citri Reticulatae (Citrus,Chenpi)Endothelium Corneum Gigeriae Galli (Chicken Gizzard Lining,Jineijin), and Radix Glehniae (Straight Ladybell Root,Beishashen).Conclusion This study sheds light on the combination law of Chinese medicine for coronary heart disease, and provides reference for clinical practice.
6.Distribution of pattern elements and target organs in dyslipidemia:factor analysis of 1019 cases
Tao YANG ; Qingyong HE ; Xiaoxue ZHONG ; Xudong LIU ; Hui WANG ; Jianbo GUO ; Yukun DING
Journal of Beijing University of Traditional Chinese Medicine 2018;41(2):165-170
Objective To explore the distribution of pattern elements and target organs in dyslipidemia ai-ming at providing theoretical basis for dyslipidemia diagnosis and treatment in clinical practice.Methods A database matrix including clinical manifestations(containing 89 symptoms,physical signs,tongue and pulse)of 1019 patients with dyslipidemia.Factors were extracted according to initial models and rotated with Varimax,then the factor loading and the score of common factors was calculated.Pattern elements were concluded by the common factors,and the patients were grouped by the score of each pattern ele-ment.Thus the distribution of pattern elements and target organs were assigned according to its score of each group.Results 38 common factors and 14 pattern elements were extracted,from which 6 primary pattern elements were selected, including 3 excessive elements, phlegm(284 cases,25.08%), blood stasis(130 cases,11.48%), and heat(109 cases,9.62%)and 3 deficient elements, qi deficiency (170 cases,15.00%), yang deficiency(164 cases, 14.47%), and yin deficiency(108 cases, 9. 53%).8 target organs were extracted in which the main target included the spleen(508 cases, 40. 38%),lung(269 cases 21.38%), heart(218 cases,17.33%)and liver(190 cases, 5.25%). Conclusions Dyslipidemia in traditional Chinese medicine belongs to deficiency in its root(nature)and excess in branch(manifestation).Excessive manifestations include phlegm, blood stasis and heat, and deficient nature includes qi deficiency,yang deficiency and yin deficiency.The main symptom target(lo-cation)was the spleen,the lung,the heart and the liver.Therefore,the findings suggest that treatment of dyslipidemia in traditional Chinese medicine could rely on resolving phlegm, activating blood, remo-ving heat,tonifying qi,warming yang,and reinforcing yin.Spleen should be considered as the first and foremost organ in the treatment,while the lung,heart,and liver should also be taken into consideration.