1.Current status and influencing factors of self-care contributions in family caregivers of elderly stroke patients
Ting WANG ; XiuHong WANG ; MingYan QING ; JiangLan WANG
Modern Clinical Nursing 2025;24(5):18-24
Objective To investigate the current status of self-care contributions of family caregivers of elderly stroke patients and analyse the influencing factors.Methods Using convenience sampling method,170 family caregivers of elderly stroke patients hospitalised in the Departments of Neurology of two Tier-ⅢA hospitals in Guiyang between June and October 2023 were selected.Data were collected using general information questionnaires,the mutuality scale(MS),stroke knowledge questionnaire,social support rating scale(SSRS)and the self-care contribution assessment scale for caregivers of elderly stroke patients.Multiple linear regression was used to identify the factors that influenced self-care contributions.Results The score of self-care contribution of family caregivers was 40.97±15.04,including 15.24±6.94 for self-care maintenance,9.44±4.97 for self-care monitoring and 16.30±5.18 for self-care management.Multiple linear regression analysis showed that self-care contributions were significantly influenced(P<0.05)by the duration of care of family caregivers,knowledge of stroke,mutuality and the social support,toally accounting for 43.1%of the variation.Conclusion Family caregivers of elderly stroke patients show low self-care contributions.Medical staff should offer additional support to family caregivers who have a shorter caregiving time.Improvement of mutuality,knowledge of stroke and social support can improve caregivers'self-care contributions.
2.Current status and influencing factors of self-care contributions in family caregivers of elderly stroke patients
Ting WANG ; XiuHong WANG ; MingYan QING ; JiangLan WANG
Modern Clinical Nursing 2025;24(5):18-24
Objective To investigate the current status of self-care contributions of family caregivers of elderly stroke patients and analyse the influencing factors.Methods Using convenience sampling method,170 family caregivers of elderly stroke patients hospitalised in the Departments of Neurology of two Tier-ⅢA hospitals in Guiyang between June and October 2023 were selected.Data were collected using general information questionnaires,the mutuality scale(MS),stroke knowledge questionnaire,social support rating scale(SSRS)and the self-care contribution assessment scale for caregivers of elderly stroke patients.Multiple linear regression was used to identify the factors that influenced self-care contributions.Results The score of self-care contribution of family caregivers was 40.97±15.04,including 15.24±6.94 for self-care maintenance,9.44±4.97 for self-care monitoring and 16.30±5.18 for self-care management.Multiple linear regression analysis showed that self-care contributions were significantly influenced(P<0.05)by the duration of care of family caregivers,knowledge of stroke,mutuality and the social support,toally accounting for 43.1%of the variation.Conclusion Family caregivers of elderly stroke patients show low self-care contributions.Medical staff should offer additional support to family caregivers who have a shorter caregiving time.Improvement of mutuality,knowledge of stroke and social support can improve caregivers'self-care contributions.
3.Identification of serum biomarkers and evaluation of metabolism disorders in patients with oral squamous cell carcinoma
Xibo LI ; Liwei LIU ; Na LI ; Qingquan JIA ; Xiaoshuang WANG ; Jianglan LONG ; Peng XUE ; Zhi SUN ; Hongyu ZHAO
Chinese Journal of Stomatology 2021;56(9):926-932
Objective:To explore the changes in serum metabolic profile in patients with oral squamous cell carcinoma (OSCC) and to identify the diagnostic biomarkers in order to provide new ideas for the early diagnosis of OSCC.Methods:In total, 76 OSCC patients who were diagnosed at the Department of Oral and Maxillofacial Surgery and 70 healthy individuals who at the Department of Medical Center of The First Affiliated Hospital of Zhengzhou University from August 2019 to January 2020 were recruited in The study. According to the random number table method, all subjects were divided into a test group ( n=96) and a verification group ( n=50). Subjects in the test group consisted of 51 OSCC patients and 45 healthy subjects and subjects in the verification group included 25 OSCC patients and 25 healthy individuals. Serum samples and clinical data of each of the subjects were collected. The serum samples were analyzed by ultra-high-performance liquid chromatography quadrupole-Orbitrap high resolution accurate mass spectrometry. Principal component analysis, orthogonal partial least square discrimination analysis and t-test were used to profile the differential metabolites in the test group. Pathway analysis of differential metabolites was performed. In addition, binary logistic regression analysis and receiver operating characteristic analysis were used in order to establish the potential diagnostic panel. Results:Twenty-one endogenous differential metabolites were identified showing significant association with OSCC. Results of pathway analysis suggested that OSCC associated with lipid metabolism and amino acid metabolism ( P<0.05). A novel diagnostic panel consisting of lysophosphatidylcholine (LysoPC) (16∶0/0∶0), LysoPC[18∶1(9z)/0∶0], taurine and D-glutamic acid was defined. The panel performed a high area under the receiver operating characteristic curve (0.998, 95% CI: 0.994-0.999, P<0.05). Conclusions:There were obvious lipid and amino acid metabolism disorders in OSCC patients. It was an effective method to establish a diagnostic model by metabolomics.
4.Expression and correlation of SIRT1 and inflammatory factors in peripheral blood of patients with major depressive disorder
Yajing WANG ; Yiming WANG ; Peifan LI ; Junwen WANG ; Pengfei XU ; Jianglan SONG ; Linghe QIU
Chinese Journal of Behavioral Medicine and Brain Science 2019;28(5):431-436
Objective To explore the expression changes of SIRT1 and related inflammatory regula-tors in peripheral blood of patients with major depressive disorder and analyze the correlation between SIRT1, depression and inflammatory regulators. Methods Forty patients with major depressive disorder and forty healthy controls were selected. Hamilton Depression Scale (HAMD-17) was used to assess the degree of de- pression in patients with depressive disorder. Quantitative Real-time PCR( RT-PCR) was used to detect the relative expression levels of SIRT1,Elf-1,NF-κB,IL-1β,GM-CSF mRNA,and enzyme linked immunosorbent assay(ELISA) was used to detect the expression levels of SIRT1,Elf-1,NF-κB,IL-1β,GM-CSF proteins. The correlation between the severity of depression disorder and SIRT1 and the correlation between SIRT1 and Elf-1 and NF-κB were analyzed. Results (1)Compared with the control group,SIRT1 mRNA expression significantly decreased in the case group (P<0. 01),while Elf-1,NF-κB,IL-1β,GM-CSF mRNA expression significantly increased in the case group (P<0. 01). ( 2) The expression of plasma SIRT1 protein((8. 23± 1. 78)ng/ml) in the case group was lower than that in the control group (P<0. 01). The expressions of plas-ma Elf-1 protein((1 921. 67±271. 07)pg/ml),NF-κB protein((2 057. 29±260. 44)pg/ml),IL-1β protein ((186. 60±31. 00) pg/ml) and GM-CSF protein((183. 69±28. 87) pg/ml) were higher than those in the control group((1 512. 92±284. 54)pg/ml,(1537. 18±313. 82) pg/ml,(144. 79±31. 48) pg/ml,(162. 82± 27. 90) pg/ml,respectively,all P<0. 01). (3) SIRT1 mRNA expression level was negatively correlated with the severity of major depressive disorder (r=-0. 51, P<0. 01) and was negatively correlated with the mRNA expression levels of Elf-1 and NF-κB (r=-0. 66,P<0. 01,r=-0. 64,P<0. 01). Conclusion The expres-sion level of SIRT1 in peripheral blood of patients with major depressive disorder is correlated with the sever-ity of depression. This may be related to the decrease of SIRT1 expression in peripheral blood leukocytes of patients with major depressive disorder,which activates the pathway of NF-κB and Elf-1 and increase expres-sion of GM-CSF and IL-1β.

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