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To construct and validate a prediction model for enteral feeding intolerance in critically ill patients during the first 7 days of enteral feeding.
A retrospective cohort study.
We reviewed the medical records of two intensive care units from January 2015 to August 2023, to develop a prediction model by univariate analysis and logistic regression analysis. Model's performance was evaluated through discrimination, calibration and decision curve analysis.
This study involved a total of 471 patients, with an enteral feeding intolerance incidence rate of 35.7%. The prediction model comprised six variables, namely neurological disease, chronic gastrointestinal disease, Acute Physiological and Chronic Health Assessment II score, sedatives, acid suppressants and serum albumin. The model showed robust discrimination, calibration and clinical net benefit, indicating significant potential for practical application with readily available variables.
The model demonstrated strong predictive performance in assessing the risk of enteral feeding intolerance during the early stage of nutrition initiation.
Enhancing clinicians' capacity to reduce the incidence of enteral feeding intolerance and improve patient outcomes.
The prediction model shows a good capacity to discriminate critically ill patients at risk of enteral feeding intolerance, is helpful to provide personalised care.
TRIPOD + AI checklist.
No patient or public contribution.
Trial Registration: https://www.chictr.org.cn/ ChiCTR2400090757
To investigate the risk factors associated with frailty in older patients with ischaemic stroke, develop a nomogram and apply it clinically.
A cross-sectional study.
Altogether, 567 patients who experienced ischaemic strokes between March and December 2023 were temporally divided into training (n = 452) and validation (n = 115) sets and dichotomised into frail and non-frail groups using the Tilburg Frailty Indicator scale. In the training set, feature selection was performed using least absolute shrinkage and selection operator regression and random forest recursive feature elimination, followed by nomogram construction using binary logistic regression. Internal validation was performed through bootstrap re-sampling and the validation set was used to assess model generalisability. The receiver operating characteristic curve, Hosmer–Lemeshow test, Brier score, calibration curve, decision curve analysis and clinical impact curve were used to evaluate nomogram performance.
The prevalence of frailty was 58.6%. Marital status, smoking, history of falls (in the preceding year), physical exercise, polypharmacy, albumin levels, activities of daily living, dysphagia and cognitive impairment were predictors in the nomogram. Receiver operating characteristic curve analysis indicated outstanding discrimination of the nomogram. The Hosmer–Lemeshow test, calibration curve and Brier score results confirmed good model consistency and predictive accuracy. The clinical decision and impact curve demonstrated notable clinical utility. This free, dynamic nomogram, created for interactive use and promotion, is available at: https://dongdongshen.shinyapps.io/DynNomapp/.
This nomogram may serve as an effective tool for assessing frailty risk in older patients with ischaemic stroke.
The nomogram in this study may assist healthcare professionals in identifying high-risk patients with frailty and understanding related factors, thereby providing more personalised risk management.
TRIPOD checklist.
No patient or public contribution.
Home parenteral nutrition (HPN) can improve the nutritional status of patients with gastrointestinal dysfunction. However, some patients face a series of challenges during its implementation, which significantly affect their quality of life.
To explore the experience and needs of living with home parenteral nutrition in adult patients.
A systematic review and meta-synthesis.
A search was conducted across multiple databases, including PubMed, Embase, Cochrane Library, Web of Science, Chinese Biomedical Literature Service System, China National Knowledge Infrastructure, Wanfang Database and Wipu Database, to explore the real-life experiences and needs of adult patients receiving HPN. The search covered the period up to March 2024. Qualitative research quality was evaluated using the Joanna Briggs Institute's Australian Centre for Evidence-Based Health Care Quality Assessment Criteria for Qualitative Research. Data synthesis was performed using Thomas and Harden's method of thematic and content analysis.
Twelve studies, each offering qualitative data, were analysed, resulting in the identification of four themes: positive experiences of HPN; the interplay of dynamic changes across physical, mental and social levels; self-adjustment to the new normal; and multidimensional needs of patients receiving HPN.
Patients receiving HPN face multiple challenges physically, psychologically and socially. This paper also reveals the supportive needs of patients in adapting to a new lifestyle with HPN. This indicates that healthcare professionals should provide comprehensive, continuous and dynamic supportive medical services to facilitate patients' reintegration and return to normal social life.
As this study constitutes a meta-synthesis, patient or public contribution is not applicable.
Adhering to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) reporting guidelines, this meta-synthesis was conducted.
To identify and appraise the quality of evidence of transitional care interventions on quality of life in lung cancer patients.
Quality of life is a strong predictor of survival. The transition from hospital to home is a high-risk period for patients' readmission and death, which seriously affect their quality of life.
Systematic review and meta-analysis.
The PubMed, Embase, Cochrane Library, Web of Science and CINAHL databases were searched from inception to 22 October 2022. The primary outcome was quality of life. Statistical analysis was conducted using Review Manager 5.4, results were expressed as standard mean difference (SMD) with a 95% confidence interval (CI). The risk of bias of the included studies was assessed using the Cochrane risk of bias assessment tool. This study was complied with PRISMA guidelines and previously registered in PROSPERO (CRD42023429464).
Fourteen randomized controlled trials were included consisting of a total of 1700 participants, and 12 studies were included in the meta-analysis. It was found that transitional care interventions significantly improved quality of life (SMD = 0.21, 95% CI: 0.02 to 0.40, p = .03) and helped reduce symptoms (SMD = −0.65, 95% CI: −1.13 to −0.18, p = .007) in lung cancer patients, but did not significantly reduce anxiety and depression, and the effect on self-efficacy was unclear.
This study shows that transitional care interventions can improve quality of life and reduce symptoms in patients, and that primarily educational interventions based on symptom management theory appeared to be more effective. But, there was no statistically significant effect on anxiety and depression.
This study provides references for the application of transitional care interventions in the field of lung cancer care, and encourages nurses and physicians to apply transitional care plans to facilitate patients' safe transition from hospital to home.
No Patient or Public Contribution.
The clinical significance of cancer-related stigma on patients' well-being has been widely established. Stigma can be perceived and internalised by cancer patients or implemented by the general population and healthcare workers. Various interventions have been carried out to reduce cancer-related stigma, but their effectiveness is not well-understood. This review aims to synthesise evidence on the effectiveness of interventions to reduce cancer-related stigma.
An integrative review.
This integrative review combined both qualitative and quantitative studies and followed five steps to identify problems, search for the literature, appraise the literature quality, analyse data, and present data. Mixed Methods Appraisal Tool (version 2018) was applied to evaluate the quality of the included studies.
Databases included Web of Science, MEDLINE, SpringerLink, Wiley Online Journals, Cochrane Library, ScienceDirect, OVID, and China National Knowledge Infrastructure (from the inception of each database to 30 April 2021).
Eighteen quantitative, six qualitative, and five mixed-methods studies were included in this review. Cultural factors should be considered when conducting interventions to reduce cancer-related stigma. For cancer patients, multi-component interventions have demonstrated a positive effect on their perceived stigma. For general population, interactive interventions show promise to reduce their implemented stigma towards cancer patients. For healthcare workers, there is a paucity of studies to reduce their implemented stigma. Existing studies reported inconclusive evidence, partially due to the lack of a robust study design with an adequate sample size.
Multi-component and interactive interventions show promise to relieve cancer-related stigma. More methodologically robust studies should be conducted in different cultures to elucidate the most appropriate interventions for different populations to reduce cancer-related stigma.
These findings will facilitate healthcare workers to design and implement interventions to reduce cancer-related stigma, thus improving the quality of life for cancer patients.
No patient and public contribution.
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