1.Reasons for Quarantined Patients' Incomplete Obedience to Medical Order and Countermeasures
Xuefen GU ; Lan ZHANG ; Shuqin CAO
Chinese Medical Ethics 1994;0(06):-
This paper analyzes the reasons for quarantined patients' incomplete obedience to medical orders and comes up with relevant countermeasures as follows.1.External compulsory medical treatment should be combined with patients' internal self-consciousness.2.It is necessary to strengthen the mutual communication between doctors and quarantined patients,and observation for patients' condition.3.It is necessary to strengthen mental care and respect for patients' legal rights.4.A positive role should be taken in improving treating environment and give mental support from family members.
2.The expression characteristic of T regulatory cell, T help cell 17 and the correlation to disease progression in chronic hepatitis B patients undergoing antivirus treatment
Lijiang GU ; Xuefen WANG ; Minwei LI
Chinese Journal of Postgraduates of Medicine 2015;38(2):120-123
Objective To explore the expression characteristic of T regulatory cell (Treg)/T help cell (Th)17 and the correlation to disease progression in chronic hepatitis B (CHB) patients undergoing antivirus treatment,and to explore their roles in pathogenesis of CHB.Methods A total of 53 patients with CHB (CHB group) and 21 healthy controls (healthy control group) were selected,CHB patients included mild 18 cases,moderate 16 cases and severe 19 cases.The expression of Treg and Th17 were detected by flow cytometry and compared.The levels of alanine aminotransferase (ALT),total bilirubin (TBIL),cholinesterase,albumin were measured by automatic biochemical machine and for correlation analysis.Results The levels ofTh17,Treg,Treg/Th17 were (2.13 ± 0.65)%,(2.99 ± 0.68)% and (6.07 ± 1.18)%,(5.14 ± 0.96)% and 2.86 ± 0.67,1.73 ± 0.45 in CHB group before and after treatment for 24 weeks and (3.59 ± 0.75)%,(4.02 ± 0.77)%,1.04 ± 0.34 in healthy control group.There were significant differences (F =14.78,10.12,17.19; P < 0.01).The level of Th17 in mild,moderate and severe CHB was gradually decreased,but there was no significant difference (F =1.10,P =0.337).The level of Treg in mild,moderate and severe CHB patients was gradually increased,but there was no significant difference (F =0.54,P =0.585).The level of Treg/Th17 was gradually increased with aggravation (2.58 ± 0.59,2.76 ± 0.63,3.21 ± 0.71),and there was significant difference (F =3.15,P < 0.01),the level of Treg/Th17 in severe CHB patients was significantly higher than that in mild,moderate CHB patients (P <0.05).The level of Treg/Th17 had significantly positive correlation with ALT,TBIL (r =0.272,P=0.000; r =0.226,P=0.000).Conclusion Treg/Th17 balance not only relates with the pathogenesis of CHB,but also with the related immune inflammatory of liver tissue.
3.Status quo and influencing factors of quality of life in neurological patients with cognitive disorder
Li LIAO ; Xuefen LI ; Lili TAN ; Xiaofang LI ; Xuemei GU ; Yan KANG
Chinese Journal of Modern Nursing 2019;25(9):1145-1149
Objective? To explore the quality of life in patients with cognitive disorder and to discuss its influencing factors so as to provide a reference for improving the quality of life in patients with cognitive disorder. Methods? Totally 1 398 neurological patients from a neuropsychiatric hospital in Nanjing were screened using cluster sampling and 125 patients with cognitive disorder were selected as subjects between January and December 2017. The subjects received a cross-sectional study with Quality of Life in Alzheimer's Disease (QOL-AD), Montreal Cognitive Assessment Scale (MoCA), Activities of Daily Living Scale (ADL), Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS) and the general information questionnaire. Variance analysis, Pearson correlation analysis and multivariate linear regression analysis were used for statistical analysis. Results? The morbidity of cognitive disorder in neurological patients from our hospital was 9.3%. Their QOL-AD score was (31.88±6.54). Sex, educational background, nature of work, household income, sleep and bad social relations are factors affecting the quality of life of the subjects (P<0.05). According to multivariate linear regression analysis, MoCA, SAS and SDS were main factors affecting the quality of life of the subjects (P<0.05). Conclusions? Male patients with lower education, physical work and bad social relations are high-risk patients with lower quality of life. Cognitive disorder, anxiety and depression are main risk factors affecting the quality of life in patients with cognitive disorder. Nursing workers should improve and maintain the patients'cognitive ability, enrich their cultural life and social activities, and enhance their mental health, thereby improving their quality of life.