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2.
Int J Ment Health Nurs ; 33(2): 297-308, 2024 Apr.
Article in English | MEDLINE | ID: mdl-37937694

ABSTRACT

Patients with mild cognitive impairment (MCI) and dementia are more prone to depression than people without MCI or dementia. Some studies have found nonpharmacological multi-component intervention to be more effective than single-component intervention in improving the condition of patients with MCI and dementia; however, their effect on depressive symptoms is still inconsistent. Therefore, it is necessary to explore the effectiveness of nonpharmacological multi-component intervention in improving depressive symptoms in patients with MCI and dementia. This review retrieved papers from PubMed, Embase, Cochrane Library, CINAHL, PsycINFO and CNKI. The retrieval time limit was set from 1 January 1990 to 25 November 2022. The PRISMA 2020 guideline was used to report the included studies. The result showed that nonpharmacological multi-component intervention could improve depressive symptoms in patients with MCI and dementia. Among them, nonpharmacological multi-component intervention with a duration of <6 months, physical and cognitive activities, or other activities had significant effects. However, each study differed in terms of specific measures, duration and frequency of intervention methods. Accordingly, more randomized controlled trials with larger samples are required to discover the best scheme for nonpharmacological multi-component intervention.


Subject(s)
Cognitive Dysfunction , Dementia , Humans , Cognitive Dysfunction/therapy , Cognitive Dysfunction/psychology , Dementia/complications , Dementia/therapy , Dementia/psychology , Depression/therapy
3.
Int J Nurs Stud ; 149: 104623, 2024 Jan.
Article in English | MEDLINE | ID: mdl-37944356

ABSTRACT

BACKGROUND: The number of risk prediction models for deep venous thrombosis (DVT) in patients with acute stroke is increasing, while the quality and applicability of these models in clinical practice and future research remain unknown. OBJECTIVE: To systematically review published studies on risk prediction models for DVT in patients with acute stroke. DESIGN: Systematic review and meta-analysis of observational studies. METHODS: China National Knowledge Infrastructure (CNKI), Wanfang Database, China Science and Technology Journal Database (VIP), SinoMed, PubMed, Web of Science, The Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL) and Embase were searched from inception to November 7, 2022. Data from selected studies were extracted, including study design, data source, outcome definition, sample size, predictors, model development and performance. The Prediction Model Risk of Bias Assessment Tool (PROBAST) checklist was used to assess the risk of bias and applicability. RESULTS: A total of 940 studies were retrieved, and after the selection process, nine prediction models from nine studies were included in this review. All studies utilized logistic regression to establish DVT risk prediction models. The incidence of DVT in patients with acute stroke ranged from 0.4 % to 28 %. The most frequently used predictors were D-dimer and age. The reported area under the curve (AUC) ranged from 0.70 to 0.912. All studies were found to have a high risk of bias, primarily due to inappropriate data sources and poor reporting of the analysis domain. The pooled AUC value of the five validated models was 0.76 (95 % confidence interval: 0.70-0.81), indicating a fair level of discrimination. CONCLUSION: Although the included studies reported a certain level of discrimination in the prediction models of DVT in patients with acute stroke, all of them were found to have a high risk of bias according to the PROBAST checklist. Future studies should focus on developing new models with larger samples, rigorous study designs, and multicenter external validation. REGISTRATION: The protocol for this study is registered with PROSPERO (registration number: CRD42022370287).


Subject(s)
Stroke , Venous Thrombosis , Humans , Stroke/complications , Risk Assessment , China , Multicenter Studies as Topic
4.
Front Psychol ; 14: 1222798, 2023.
Article in English | MEDLINE | ID: mdl-37680239

ABSTRACT

Background: Fear of disease progression (FoP) is among the most prevalent and major psychological burdens breast cancer patients encounter. Excessive FoP may result in serious adverse effects for patients. FoP in breast cancer patients has gained attention recently; however, its prevalence in China is unknown. Objectives: This meta-analysis and systematic review aimed to assess the overall FoP among Chinese breast cancer patients to make recommendations for treatment and care. Methods: Systematic search databases included PubMed, EMbase, The Cohrane Library, Web of Science, CINAHL, PsycINFO and 4 Chinese databases (Wan Fang Data, CBM, VIP and CNKI). The retrieval time ranged from the database's establishment to March 20, 2023. After two researchers independently evaluated the literature, retrieved information, and assessed the risk of bias for the included literature, Stata 15.1 software was used to conduct a meta-analysis. Results: A total of 37 moderate or high-quality studies involving 9,689 breast cancer patients were included. Meta-analysis showed that the pooled mean score of FoP for Chinese breast cancer patients was 33.84 [95% CI (31.91, 35.77)], prediction interval (21.57 ~ 46.11). The subgroup study found that FoP levels varied among breast cancer patients of different regions, ages, educational levels, marital statuses, residences, illness stages, and disease statuses. Conclusion: Breast cancer patients have higher FoP scores. Healthcare workers should be concerned. We expect that more relevant research will be undertaken and more effective interventions will be developed. Patients can manage their illness and improve their quality of life by reducing their fears. Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier: PROSPERO CRD42023408914.

5.
Front Aging Neurosci ; 15: 1188967, 2023.
Article in English | MEDLINE | ID: mdl-37455941

ABSTRACT

Background: POD places a heavy burden on the healthcare system as the number of elderly people undergoing surgery is increasing annually because of the aging population. As a large country with a severely aging population, China's elderly population has reached 267 million. There has been no summary analysis of the pooled incidence of POD in the elderly Chinese population. Methods: Systematic search databases included PubMed, Web of Science, EMBASE, Cochrane Library Databases, China Knowledge Resource Integrated Database (CNKI), Chinese Biomedical Database (CBM), WanFang Database, and Chinese Science and Technology Periodicals (VIP). The retrieval time ranged from the database's establishment to February 8, 2023. The pooled incidence of delirium after non-cardiac surgery was calculated using a random effects model. Meta-regression, subgroup, and sensitivity analyses were used to explore the source of heterogeneity. Results: A total of 52 studies met the inclusion criteria, involving 18,410 participants. The pooled incidence of delirium after non-cardiac surgery in the elderly Chinese population was 18.6% (95% CI: 16.4-20.8%). The meta-regression results revealed anesthesia method and year of publication as a source of heterogeneity. In the subgroup analysis, the gender subgroup revealed a POD incidence of 19.6% (95% CI: 16.9-22.3%) in males and 18.3% (95% CI: 15.7-20.9%) in females. The year of publication subgroup analysis revealed a POD incidence of 20.3% (95% CI: 17.4-23.3%) after 2018 and 14.6 (95% CI: 11.6-17.6%) in 2018 and before. In the subgroup of surgical types, the incidence of hip fracture surgery POD was 20.7% (95% CI: 17.6-24.3%), the incidence of non-cardiac surgery POD was 18.4% (95% CI: 11.8-25.1%), the incidence of orthopedic surgery POD was 16.6% (95% CI: 11.8-21.5%), the incidence of abdominal neoplasms surgery POD was 14.3% (95% CI: 7.6-21.1%); the incidence of abdominal surgery POD was 13.9% (95% CI: 6.4-21.4%). The anesthesia methods subgroup revealed a POD incidence of 21.5% (95% CI: 17.9-25.1%) for general anesthesia, 15.0% (95% CI: 10.6-19.3%) for intraspinal anesthesia, and 8.3% (95% CI: 10.6-19.3%) for regional anesthesia. The measurement tool subgroup revealed a POD incidence of 19.3% (95% CI: 16.7-21.9%) with CAM and 16.8% (95% CI: 12.6-21.0%) with DSM. The sample size subgroup revealed a POD incidence of 19.4% (95% CI: 16.8-22.1%) for patients ≤ 500 and 15.3% (95% CI: 11.0-19.7%) for patients > 500. The sensitivity analysis suggested that the pooled incidence of postoperative delirium in this study was stable. Conclusion: Our systematic review of the incidence of delirium after non-cardiac surgery in elderly Chinese patients revealed a high incidence of postoperative delirium. Except for cardiac surgery, the incidence of postoperative delirium was higher for hip fracture surgery than for other types of surgery. However, this finding must be further explored in future large-sample studies. Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier: PROSPERO CRD42023397883.

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