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Cognitive decline, including subjective cognitive decline (SCD), mild cognitive impairment (MCI), and dementia, significantly affects social participation, leading to social isolation and reduced quality of life. Enhancing social participation through interventions may mitigate these effects, yet evidence on intervention effectiveness and mechanisms remains inconsistent.
To evaluate the effectiveness of social participation interventions for individuals with cognitive decline and identify effective behavior change techniques (BCTs) supporting social participation.
Our search using the following databases—PubMed, Web of Science, Embase, Cochrane Library, CINAHL, Scopus, CNKI, and Wanfang—was conducted until October 2024. The quality of the included studies was assessed using the Cochrane risk of bias tool for randomized trials. Meta-analyses were conducted using Review Manager 5.4 and Stata18, and the certainty of evidence was rated using the Grading of Recommendations Assessment, Development, and Evaluation approach.
Sixteen RCTs involving 2190 participants were included. Music therapy (SMD = 0.62, 95% CI [0.15, 1.10]) and reminiscence therapy (SMD = 0.34, 95% CI [0.02, 0.66]) demonstrated significant positive effects on social participation. Group-based interventions were particularly effective (SMD = 0.23, 95% CI [0.04, 0.43]). Commonly used BCTs included goal setting, behavioral practice/rehearsal, and social support. However, substantial heterogeneity and limited data on SCD and MCI restricted generalizability.
Interventions promoting social participation may enhance engagement for individuals with cognitive decline, particularly through music therapy, reminiscence therapy, and group-based formats. The complexity and dynamic nature of social interaction require individuals to engage and integrate various cognitive functions and skills, which can present significant challenges for older adults with cognitive impairments in their daily social participation. Further research is needed to optimize intervention components and address gaps in targeting early cognitive decline stages.
To investigate the physical activity levels of lung cancer survivors, analyse the influencing factors, and construct a predictive model for the physical activity levels of lung cancer survivors based on machine learning algorithms.
This was a cross-sectional study.
Convenience sampling was used to survey lung cancer survivors across 14 hospitals in eastern, central, and western China. Data on demographic, disease-related, health-related, physical, and psychosocial factors were also collected. Descriptive analyses were performed using SPSS 25.0, and predictors were identified through multiple logistic regression analyses. Four machine learning models—random forest, gradient boosting tree, support vector machine, and logistic regression—were developed and evaluated based on the Area Under the Curve of the Receiver Operating Characteristic (AUC-ROC), accuracy, precision, recall, and F1 score. The best model was used to create an online computational tool using Python 3.11 and Flask 3.0.3. This study was conducted and reported in accordance with the TRIPOD guidelines and checklist.
Among the 2231 participants, 670 (30%), 1185 (53.1%), and 376 (16.9%) exhibited low, moderate, and high physical activity levels, respectively. Multivariate logistic regression identified 15 independent influencing factors: residential location, geographical region, religious beliefs, histological type, treatment modality, regional lymph node stage, grip strength, 6-min walking distance, globulin, white blood cells, aspartate aminotransferase, blood urea, MDASI score, depression score, and SRAHP score. The random forest model performed best among the four algorithms, achieving AUC-ROC values of 0.86, 0.70, 0.72, and 0.67, respectively, and was used to develop an online predictive tool (URL: http://10.60.32.178:5000).
This study developed a machine learning model to predict physical activity levels in lung cancer survivors, with the random forest model demonstrating the highest accuracy and clinical utility. This tool enables the early identification of low-activity survivors, facilitating timely, personalised rehabilitation and health management.
The development of a predictive model for physical activity levels in lung cancer survivors can help clinical medical staff identify survivors with relatively low physical activity levels as early as possible. Thus, personalised rehabilitation plans can be formulated to optimise quality of life during their survival period.
Physical activity has been used as a nonpharmacological intervention in cancer patient rehabilitation plans. However, a review of past studies has shown that lung cancer survivors generally have low physical activity levels. In this study, we identified the key factors influencing physical activity among lung cancer survivors through a literature review. We constructed a prediction model for their physical activity levels using machine learning algorithms. Clinical medical staff can use this model to identify patients with low physical activity levels early and to develop personalised intervention plans to improve their quality of life during survival.
The study adhered to the relevant EQUATOR reporting guidelines, the TRIPOD Checklist for Prediction Model Development and Validation.
During the data collection phase, participants were recruited to complete the questionnaires.
by Bin Lin, Chao Han, Jin-Hai Li, Rui Wang
ObjectiveAccording to the YY/T 1182–2010 standard of the People’s Republic of China on nucleic acid amplification test reagents (kits) for medical industry, the accuracy, precision, linear range, and analytic sensitivity of HIV-1 standardized quality control products should be assessed. The Geneway HIV-1 Nucleic Acid Detection Kit from China has been successfully registered with the National Medical Products Administration. Here, we aimed to assess for the first time its detection performance.
MethodsThe accuracy, precision, analytic sensitivity, and linearity of the Geneway HIV-1 nucleic acid quantification test kit were analyzed using a series of diluted standard control samples of HIV-1 negative plasma. Clinical plasma samples were collected from 163 HIV-infected patients and 38 HIV-negative patients. The detection performance of the Geneway assay was compared with that of the US FDA-approved COBAS AmpliPrep/COBAS® Taqman® HIV-1 test (Roche), version 2.0, for viral load (VL) monitoring.
ResultsThe absolute deviation of the assay between the logarithm of the measured concentration and the logarithm of the expected concentration did not exceed ±0.5 logarithmic units. All coefficients of variation (CV%) for the assays were within 5%, indicating good precision in the detection. The linearity of quantitation was excellent (r = 0.999). Overall agreement was observed in 198 of the 201 specimens (98.51%), with a kappa value of 0.953. Bland-Altman analysis revealed an average difference of 0.030 between the two assays, with 95.95% (142/148) of the differences falling within the 95% confidence limits of agreement (−0.50, 0.56). Linear regression results demonstrated a strong linear correlation between the two assays, with a high Pearson correlation coefficient (r = 0.980) and coefficient of determination (R2 = 0.960, p Conclusions
The Geneway HIV-1 VL assay demonstrated excellent accuracy, precision, analytic sensitivity, and linearity. Compared to the Roche assay, the Geneway assay showed good performance for HIV-1 VL detection, supporting its use in clinical practice.
This study explored the impact of different care modes on the outcome of hospitalized patients with acute ischaemic stroke (AIS) during hospitalization and 3 months after discharge.
This was a prospective cohort study comparing the outcomes at hospitalization, at discharge, and at 3 months post discharge among AIS patients with different caregiving arrangements from 9, December 2022 to 20, August 2023. The general information questionnaire, Modified Barthel Index, Shortened General Comfort Questionnaire, Perceived Social Support scale, Herth Hope Index, modified Rankin scale and EQ-5D-5L were utilized for the investigation.
The psychological evaluation scores during hospitalization, including comfort, perceived social support, and hope, did not significantly differ between the two groups of AIS patients (p > .05). Moreover, there were no significant impacts observed in terms of length of stay (LOS) at the hospital or hospitalization expense (p > .05). The proportion of patients with intact functionality was greater in the family caregiver group 3 months after discharge (16.5%). However, when stratified based on prognosis, the difference in outcomes between the two groups of patients did not reach statistical significance (p > .05). The analysis of ADL, quality of life and stroke recurrence in 276 surviving ischaemic stroke patients 3 months post discharge indicated no differences between the two groups across all three aspects (p > .05).
Older and divorced or widowed AIS patients tend to prefer professional caregivers. The psychological state during hospitalization, length of hospital stay and hospitalization expenses are not influenced by the caregiving model. Three months post discharge, a greater proportion of patients in the family caregiving group had intact mRS functionality, but this choice did not impact patient prognosis, stroke recurrence, quality of life or independence in ADL.
The aim of this study was to assess the efficacy of acupuncture in the treatment of pressure ulcers. Randomized controlled trials evaluating the effects of acupuncture on pressure ulcers were identified through a comprehensive literature search on public database. The quality assessment of the included trials was performed based on the guidance of the Cochrane Reviewers' Handbook, and pooled analyses were performed by using the RevMan 5.4 software. The pooled results demonstrated that acupuncture in combination with standard wound care was significantly superior to standard wound care alone with regard to effective rate (RR 1.17, 95% CI [1.10, 1.24]), reduction in Wound Size (MD −2.78, 95% CI [−2.43, −1.44]), healing time (MD −6.24, 95% CI [−12.32, −0.17]) and the amount of 24-h exudate (MD −0.86, 95% CI [−1.54, −0.18]). In conclusion, this study suggests that acupuncture can be used as an adjunctive therapy to promote healing of pressure ulcers.
Severe infection is a critical health threat to humans, and antibiotic treatment is one of the main therapeutic approaches. Nevertheless, the efficacy of various antibiotic injection regimens in severe infection patients remains uncertain. This study aimed to comprehensively evaluate the impact of various antibiotic injection strategies on patients with severe infection through a meta-analysis. Relevant research literature was collected by searching databases such as PubMed, Embase, and Cochrane Library. The retrieved literature was screened according to inclusion and exclusion criteria. Relevant data, including study design, sample size, and antibiotic regimens, were extracted from the included studies. The Cochrane Collaboration's Risk of Bias tool was employed to assess the risk of bias in each study. Statistical analysis was performed based on the results of the included studies. A total of 15 articles were included, covering various types of severe infection patients, including pulmonary and abdominal infections. The analysis provided insights into mortality rates, treatment efficacy, adverse reactions (ARs), Acute Physiology and Chronic Health Evaluation (APACHE) scores, among other outcomes. The results indicated that combination therapy was superior to monotherapy in terms of mortality rate, treatment efficacy, and APACHE scores, while the incidence of ARs was lower in the monotherapy group compared to the combination therapy group (p < 0.05). Combination therapy showed better treatment efficacy compared to monotherapy, although it was associated with a higher incidence of ARs.
In this study, a meta-analysis was conducted to assess the effect of refined nursing interventions in the operating room on the incidence of surgical-site wound infections in patients undergoing lung cancer surgery to provide an evidence base for the prevention and management of nosocomial infections. A computerised literature search was used to identify randomised controlled trials (RCTs) on the application of refined nursing interventions in the operating room in patients undergoing lung cancer surgery published in the PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure (CNKI), VIP and Wanfang databases from their inception until July 2023. The literature screening, data extraction and quality assessment of the included studies were performed independently by two researchers. RevMan 5.4 software was used for the meta-analysis. Twenty-eight studies were included in the analysis, with a total of 2406 patients, including 1210 patients in the refined nursing intervention group and 1196 patients in the control group. The results of the meta-analysis showed that the refined nursing interventions in the operating room significantly reduced the incidence of surgical-site wound infections in patients undergoing lung cancer surgery, compared with the control group (1.82% vs. 6.52%, odds ratio: 0.30, 95% CI: 0.19–0.47, p < 0.001), and shortened the length of hospital stay (standardised mean difference: −1.51 days, 95% CI: −1.92 to −1.11 days, p < 0.001). Current evidence suggests that the application of refined nursing interventions in the operating room is effective at reducing the incidence of surgical-site wound infections and shortening the length of hospital stay in patients undergoing lung cancer surgery. However, owing to the small number and low quality of the studies, more high-quality RCTs with large sample sizes are needed to confirm these results.
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