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This study aims to explore the trajectories and co-occurrence of perceived control and caregiver self-efficacy among patients with heart failure (HF) and their caregivers within 3 months post-discharge and identify associated risk factors.
A prospective cohort design.
A prospective cohort study was conducted from March to June 2024 in Tianjin, China. Information on perceived control and caregiver self-efficacy was collected 24 h before discharge, 2 weeks, 1 month, and 3 months after discharge. Group-Based Dual Trajectory Modelling (GBDTM) and logistic regression were used for analysis.
The study included 203 dyads of patients with HF and their caregivers (HF dyads). Perceived control identified three trajectories: low curve (15.3%), middle curve (57.1%) and high curve (27.6%). Caregiver self-efficacy demonstrated three trajectories: low curve (17.2%), middle curve (56.7%) and high stable (26.1%). GBDTM revealed nine co-occurrence patterns, with the highest proportion (36.7%) being ‘middle-curve group for perceived control and middle-curve group for caregiver self-efficacy’, and 16.7% being ‘high-curve group for perceived control and high-stable group for caregiver self-efficacy’. Age, gender, household income, NYHA class, symptom burden and psychological resilience were identified as risk factors for perceived control trajectories; marital status, regular exercise and psychological resilience were identified as risk factors for caregiver self-efficacy trajectories.
We identified distinct trajectories, co-occurrence patterns and risk factors of perceived control and caregiver self-efficacy among HF dyads. These findings help clinical nurses to better design and implement interventions, strengthening the comprehensive management and care outcomes for HF dyads.
These findings highlighted the interactive relationship between perceived control and caregiver self-efficacy trajectories, suggesting that interventions should boost both to improve personalised treatment plans and outcomes for HF dyads.
This study adhered to the STROBE checklist.
Patients and their caregivers contributed by participating in the study and completing the questionnaire.
This study was to create an interpretable machine learning model to predict the risk of mortality within 90 days for ICU patients suffering from pressure ulcers.
We retrospectively analysed 1774 ICU pressure ulcer patients from the Medical Information Mart for Intensive Care (MIMIC)-IV database.
We used the LASSO regression and the Boruta algorithm for feature selection. The dataset was split into training and test sets at a 7:3 ratio for constructing machine learning models. We employed logistic regression and nine other machine learning algorithms to build the prediction model. Restricted cubic spline (RCS) was used to analyse the linear relationship between the Braden score and the outcome, whereas the SHAP (Shapley additive explanations) method was applied to visualise the model's characteristics.
This study compared the predictive ability of the Braden Scale with other scoring systems (SOFA, APSIII, Charlson, SAPSII). The results showed that the Braden Scale model had the highest performance, and SHAP analysis indicated that the Braden Scale is an important influencing factor for the risk of 90-day mortality in the ICU. The restricted cubic spline curve demonstrated a significant negative correlation between the Braden Scale and mortality. Subgroup analysis showed no significant interaction effects among subgroups except for age.
The machine learning-enhanced Braden Scale has been developed to forecast the 90-day mortality risk for ICU patients suffering from pressure ulcers, and its efficacy as a clinically reliable tool has been substantiated.
Patients or public members were not directly involved in this study.
by Zhi-Hua Huang, Jun Zhang, Xiao-ying Xu, Ying Wang, Xiao-jian Lu, Yan Luo
BackgroundPostoperative delirium is a common complication after various types of major surgery. The aim of this study was to identify risk factors associated with delirium following pancreatic surgery.
MethodsData from the patients who had pancreatic surgery between July 2020 and March 2021 in Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine were retrospectively analysed. The postoperative risk factors related to delirium were analyzed by univariate and multivariate Logistic regression analysis.
Results59 of 385 patients (15.3%) developed postoperative delirium after pancreatic surgery. The ROC curve revealed the optimal cutoff of intraoperative fluid balance was 2863ml. Furthermore, the multivariate analysis demonstrated that age ≥ 65 years old [Odds ratio (OR) 2.01; 95% Confidence interval (CI) 1.12-3.63; p = 0.019], hypnotic drug use (OR 4.17; 95% CI 1.50-11.10; p = 0.005), and intraoperative fluid balance (OR 2.57; 95% CI 1.37-4.84; p = 0.003) were the independent risk factors of postoperative delirium.
ConclusionThis study identified that intraoperative fluid balance and hypnotic drug use were independent risk factors associated with postoperative delirium development after pancreatic surgery.
The objective of this study was to construct and validate a structural equation model (SEM) to identify factors associated with sleep quality in awake patients in the intensive care unit (ICU) and to assist in the development of clinical intervention strategies.
In this cross-sectional study, 200 awake patients who were cared for in the ICU of a tertiary hospital in China were surveyed via several self-report questionnaires and wearable actigraphy sleep monitoring devices. Based on the collected data, structural equation modelling analysis was performed using SPSS and AMOS statistical analysis software. The study is reported using the STROBE checklist.
The fit indices of the SEM were acceptable: χ2/df = 1.676 (p < .001) and RMSEA = .058 (p < 0.080). Anxiety/depression had a direct negative effect on the sleep quality of awake patients cared for in the ICU (β = −.440, p < .001). In addition, disease-freeness progress had an indirect negative effect on the sleep quality of awake patients cared for in the ICU (β = −.142, p < .001). Analgesics had an indirect negative effect on the sleep quality of awake patients cared for in the ICU through pain and sedatives (β = −.082, p < .001). Sedation had a direct positive effect on the sleep quality of conscious patients cared for in the ICU (β = .493; p < .001).
The results of the SEM showed that the sleep quality of awake patients cared for in the ICU is mainly affected by psychological and disease-related factors, especially anxiety, depression and pain, so we can improve the sleep quality of patients through psychological intervention and drug intervention.
Advance care planning is a process through which people communicate their goals and preferences for future medical care. Due to the complexity of the decision-making process, decision aids can assist individuals in balancing potential benefits and risks of treatment options.
While decision aids have the potential to better promote advance care planning, their characteristics, content and application effectiveness are unclear and lack systematic review. Therefore, we aimed to explore these three aspects and establish a foundation for future research.
Scoping review.
This scoping review adheres to the framework proposed by Arksey and O'Malley and the PRISMA-ScR list. Six English-language databases were systematically searched from the time of construction until 1 December 2023. Two researchers conducted the article screening and data extraction, and the extracted data was presented in written tables and narrative summaries.
Of the 1479 titles and abstracts, 20 studies fulfilled the inclusion criteria. Types of decision aids were employed, mainly websites and videos. Decision aid's primary components center around 11 areas, such as furnishing information, exploring treatment and care preferences. The main manifestations were a significant increase in knowledge and improved recognition of patients' target value preferences. Among the aids, websites and videos for advance care planning have relatively high content acceptability and decision-making process satisfaction, but their feasibility has yet to be tested.
Decision aids were varied, with content focused on describing key information and exploring treatment and care preferences. Regarding application effects, the aids successfully facilitated the advance care planning process and improved the quality of participants' decisions. Overall, decision aids are efficient in improving the decision-making process for implementing advance care planning in cancer and geriatric populations. In the future, personalised decision aids should be developed based on continuous optimization of tools' quality and promoted for clinical application.
The paper has adhered to the EQUATOR guidelines and referenced the PRISMAg-ScR checklist.
This is a review without patient and public contribution.
Registration: https://doi.org/10.17605/OSF.IO/YPHKF, Open Science DOI: 10.17605/OSF.IO/YPHKF.
Surgical site infections (SSIs) following radical mastectomy in breast cancer patients can significantly affect patient recovery and healthcare resources. Identifying and understanding the risk factors for postoperative wound infections (PWIs) are crucial for improving surgical outcomes. This retrospective study was conducted from June 2020 to June 2023, including 23 breast cancer patients who developed PWIs post-radical mastectomy and a control group of 46 patients without such infections. Comprehensive patient data, including variables such as intraoperative blood loss, hospital stay duration, body mass index (BMI), operation time, anaemia, drainage time, diabetes mellitus, cancer stage, white blood cell (WBC) count, serum albumin levels and preoperative neoadjuvant chemotherapy, were meticulously gathered. Statistical analyses, including univariate and multivariate logistic regression, were performed using SPSS software (Version 27.0). The univariate analysis identified several factors significantly associated with an increased risk of PWIs, including preoperative neoadjuvant chemotherapy, low serum albumin levels, advanced cancer stage, diabetes mellitus and reduced WBC count. Multivariate logistic regression highlighted anaemia, prolonged drainage time, diabetes mellitus, advanced cancer stage, reduced WBC count, hypoalbuminemia and preoperative neoadjuvant chemotherapy as significant contributors to the increased risk of PWIs. Anaemia, extended drainage time, diabetes mellitus, advanced cancer stage, low WBC count, hypoalbuminemia and preoperative neoadjuvant chemotherapy are key risk factors for SSIs post-radical mastectomy. Early identification and proactive management of these factors are imperative to reduce the incidence of postoperative infections and enhance recovery outcomes in breast cancer patients.
In this meta-analysis, we reviewed the findings and definitive findings of a new study that assessed the impact of bevacizumab on wound healing following combined chemotherapy for ovarian cancer (OC). The results of a controlled study that assessed the efficacy of bevacizumab in the treatment of ovarian cancer were retrieved from 4 databases, such as the Web of Science and EMBASE. The results of the adverse event associated with wound healing were determined by comparison of the controlled studies of bevacizumab plus chemotherapy in the treatment of ovarian cancer. A meta-analysis was conducted with either a randomized or a fixed-effect model in order to establish an odds ratio for time to event variables and for a binary outcome. In the research literature, 830 trials have been identified and seven have been chosen to be included in a definitive analysis of the trial. Among the 4134 cases who received chemotherapy after operation, 2098 received standard chemotherapy and 2036 received the addition of bevacizumab. A total of 7 trials have shown that the use of bevacizumab in the treatment of ovarian cancer patients has reduced wound healing (OR, 0.55; 95% CI: 0.37, 0.80, p = 0.002). Four trials demonstrated that there was no change in the incidence of haemorrhage in patients with ovarian cancer when administered with or without bevacizumab (OR, 0.48; 95% CI, 0.10, 2.34, p = 0.37). The combined use of bevacizumab and chemotherapy may have a negative effect on the healing of wound.
Diabetic foot ulcer often leads to amputation, and both nutritional status and immune function have been associated with this process. We aimed to investigate the risk factors of diabetic ulcer-related amputation including the Controlling Nutritional Status score and neutrophil-to-lymphocyte ratio biomarker. We evaluated data from hospital in patients with diabetic foot ulcer, performing univariate and multivariate analyses to screen for high-risk factors and Kaplan–Meier analysis to correlate high-risk factors with amputation-free survival. Overall, 389 patients underwent 247 amputations over the follow-up period. After correction to relevant variables, we identified five independent risk factors for diabetic ulcer-related amputation: ulcer severity, ulcer site, peripheral arterial disease, neutrophil-to-lymphocyte ratio and nutritional status. Amputation-free survival was lower for the moderate-to-severe versus mild cases, for the plantar forefoot versus hindfoot location, for the concomitant peripheral artery disease versus without and in the high versus low neutrophil-to-lymphocyte ratio (all p < 0.01). The results showed that ulcer severity (p < 0.01), ulcer site (p < 0.01), peripheral artery disease (p < 0.01), neutrophil-to-lymphocyte ratio (p < 0.01) and Controlling Nutritional Status score (p < 0.05) were independent risk factors for amputation in diabetic foot ulcer patients and have predictive values for diabetic foot ulcer progression to amputation.
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