1.The current situation and its influential factors of social isolation in community elderly patients with knee osteoarthritis
Pingping WEI ; Jianping SUN ; Aihong GAO ; Hongxia WU ; Likun HUANG ; Huiqiong BAI
Chinese Journal of Practical Nursing 2022;38(23):1775-1781
Objective:To investigate the incidence of social isolationin community elderly patients with knee osteoarthritis and analyze its influencing factors.Methods:From January to April 2021, 240 community elderly with knee osteoarthritis in three community health service centers in Taiyuan (Yingbin community, Dawang community and Pingyang second community) were selected as research objects by convenient sampling method. They were investigated by general data questionnaire, Lubben Social Network Scale-6(Lubben-6), Geriatric Depression Scale-15, Perceived Social Support Scale, Numerical Rating Scale. Single factor analysis and binary Logistic regression analysis were used to explore the influencing factors of social isolation in elderly patients with knee osteoarthritis.Results:The prevalence of social isolation among community elderly patients with knee osteoarthritis was 43.33% (104/240) . The results of binary logistic regression analysis showed that age ( OR = 2.228, 95% CI 1.436-3.457), complicated diseases ( OR = 1.733, 95% CI 1.028-2.919), exercise ( OR = 0.560, 95% CI 0.360-0.869), depression ( OR = 3.603, 95% CI 1.768-7.339), comprehension of social support ( OR = 0.424, 95% CI 0.253-0.710) and pain ( OR = 1.792, 95% CI 1.147-2.799) were the influencing factors of social isolation in elderly patients with knee osteoarthritis ( P<0.05). Conclusions:The degree of social isolation in community elderly patients with knee osteoarthritis is relatively high, and is affected by many factors. Community medical staff should formulate targeted nursing intervention plans based on their influencing factors to reduce the occurrence of social isolation.
2.Status and influencing factors of motoric cognitive risk syndrome among the elderly in Taiyuan
Pingping WEI ; Jianping SUN ; Hongxia WU ; Guifang NIU ; Likun HUANG ; Huimin WANG ; Huiqiong BAI ; Xuanxuan LI
Chinese Journal of Modern Nursing 2022;28(15):2036-2042
Objective:To explore the current situation of motoric cognitive risk syndrome (MCR) in the community elderly in Taiyuan and analyze its influencing factors.Methods:From January to April 2021, convenience sampling was used to select 500 elderly people from 5 communities in Taiyuan as the research object. The elderly were investigated with the General Information Questionnaire, Mini-Mental State Examination (MMSE) , simplified Geriatric Depression Scale-15 (GDS-15) , Short-Form Mini Nutritional Assessment (MNA-SF) and Lubben Social Network Scale-6 (Lubben-6) , and 4-meter walk test.Results:A total of 500 questionnaires were distributed, and 492 valid questionnaires were recovered, with a valid recovery rate of 98.40%. The prevalence of MCR among 492 community elderly people in Taiyuan was 11.38% (56/492) . Univariate analysis showed that there were statistically significant differences in the incidence of MCR among the community elderly in Taiyuan with different age, education level, obesity, living alone, number of diseases, diabetes, coronary heart disease, stroke, number of medications, chronic pain, nutritional status, depression and social isolation ( P<0.05) . Logistic regression analysis showed that educational level, obesity, diabetes, chronic pain, nutritional status, depression, and social isolation were the influencing factors of MCR in the elderly in Taiyuan ( P<0.05) . Conclusions:The incidence of MCR among the elderly in Taiyuan is high. Individualized interventions should be formulated according to the influencing factors to prevent or delay the occurrence of MCR in the community elderly.
3.Surveillance of antifungal resistance in clinical isolates of Candida spp.in East China Invasive Fungal Infection Group from 2018 to 2022
Dongjiang WANG ; Wenjuan WU ; Jian GUO ; Min ZHANG ; Huiping LIN ; Feifei WAN ; Xiaobo MA ; Yueting LI ; Jia LI ; Huiqiong JIA ; Lingbing ZENG ; Xiuhai LU ; Yan JIN ; Jinfeng CAI ; Wei LI ; Zhimin BAI ; Yongqin WU ; Hui DING ; Zhongxian LIAO ; Gen LI ; Hui ZHANG ; Hongwei MENG ; Changzi DENG ; Feng CHEN ; Na JIANG ; Jie QIN ; Guoping DONG ; Jinghua ZHANG ; Wei XI ; Haomin ZHANG ; Rong TANG ; Li LI ; Suzhen WANG ; Fen PAN ; Jing GAO ; Lu JIANG ; Hua FANG ; Zhilan LI ; Yiqun YUAN ; Guoqing WANG ; Yuanxia WANG ; Liping WANG
Chinese Journal of Infection and Chemotherapy 2024;24(4):402-409
Objective To monitor the antifungal resistance of clinical isolates of Candida spp.in the East China region.Methods MALDI-TOF MS or molecular methods were used to re-identify the strains collected from January 2018 to December 2022.Antifungal susceptibility testing was performed using the broth microdilution method.The susceptibility test results were interpreted according to the breakpoints of 2022 Clinical and Laboratory Standards Institute(CLSI)documents M27 M44s-Ed3 and M57s-Ed4.Results A total of 3 026 strains of Candida were collected,65.33%of which were isolated from sterile body sites,mainly from blood(38.86%)and pleural effusion/ascites(10.21%).The predominant species of Candida were Candida albicans(44.51%),followed by Candida parapsilosis complex(19.46%),Candida tropicalis(13.98%),Candida glabrata(10.34%),and other Candida species(0.79%).Candida albicans showed overall high susceptibility rates to the 10 antifungal drugs tested(the lowest rate being 93.62%).Only 2.97%of the strains showed dose-dependent susceptibility(SDD)to fluconazole.Candida parapsilosis complex had a SDD rate of 2.61%and a resistance rate of 9.42%to fluconazole,and susceptibility rates above 90%to other drugs.Candida glabrata had a SDD rate of 92.01%and a resistance rate of 7.99%to fluconazole,resistance rates of 32.27%and 48.24%to posaconazole and voriconazole non-wild-type strains(NWT),respectively,and susceptibility rates above 90%to other drugs.Candida tropicalis had resistance rates of 29.55%and 26.24%to fluconazole and voriconazole,respectively,resistance rates of 76.60%and 21.99%to posaconazole and echinocandins non-wild-type strains(NWT),and a resistance rate of 2.36%to echinocandins.Conclusions The prevalence and species distribution of Candida spp.in the East China region are consistent with previous domestic and international reports.Candida glabrata exhibits certain degree of resistance to fluconazole,while Candida tropicalis demonstrates higher resistance to triazole drugs.Additionally,echinocandins resistance has emerged in Candida albicans,Candida glabrata,Candida tropicalis,and Candida parapsilosis.