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Fabrication of Cu/ZnO‐loaded chitosan hydrogel for an effective wound dressing material to advanced wound care and healing efficiency after caesarean section surgery

Abstract

Wound infections and delayed complications after caesarean section surgical procedure to mothers would have a prevalence of discomfort, stress and dissatisfaction in the postpartum period. In this report, one-pot synthesis is used for the preparation of chitosan (CS)-based copper nanoparticles (nCu), which was used for the preparation of zinc oxide (ZnO) hydrogel as wound dressing materials after surgery. The antibacterial activity of (CS-nCu/ZnO) developed hydrogels was studied zone of inhibition, against gram-positive and gram-negative bacteria. The antibacterial activity of the CS-nCu/ZnO hydrogel demonstrated that nanoformulated hydrogel materials have provided excellent bactericidal action against clinically approved bacterial pathogens. The biocompatibility and in vitro wound healing potential of the developed wound closure materials were studied by MTT assay and wound scratch assay methods, respectively. The MTT assay and cell migration assay results demonstrated that CS-nCu/ZnO hydrogel material induces cell compatibility and effective cell proliferation ability. These findings suggest that the CS-nCu/ZnO hydrogel outperforms CS-ZnO in terms of wound healing and could be used as a wound closure material in caesarean section wound treatment.

Pre‐hospital symptom clusters and symptom network analysis in decompensated cirrhotic patients: A cross‐sectional study

Abstract

Aims

To generate pre-hospital symptom networks, explore core, bridge and sentinel symptoms, identify pre-hospital symptom clusters and analyse relationship between influencing factors and symptom clusters in decompensated cirrhosis patients.

Design

A cross-sectional study design using the Strengthening the Reporting of Observational Studies in Epidemiology checklist.

Methods

Demographical, physiological, psychological and sociological characteristics and the pre-hospital symptoms of 292 decompensated cirrhotic patients were collected from October 2021 to March 2023 in China. Frequencies, percentages, means, standard deviations, independent samples t-tests, one-way analysis of variance, exploratory factor analysis, multiple stepwise regression analysis and network analysis were used for data analysis.

Results

‘I don't look like myself’ and itching were core and bridge symptoms, while bloating and lack of energy were sentinel symptoms in decompensated cirrhotic patients. Monthly family income, anxiety, depression, social support and disease duration influenced the neuropsychological symptom cluster, with worrying as the strongest predictor symptom. Influential factors for cirrhosis-specific symptom cluster included Child-Pugh class, monthly family income, disease duration, anxiety and depression, with itching being the strongest predictor symptom. Monthly family income, disease duration and depression were influential factors for gastrointestinal symptom cluster, with loss of appetite as the strongest predictor symptom.

Conclusions

Neuropsychological, cirrhosis-specific and gastrointestinal symptom clusters were formed in decompensated cirrhotic patients. Through network analysis, direct connections between symptoms, symptom clusters and their influencing factors were revealed, thereby offering clinicians a foundation for effectively managing patients' pre-hospital symptoms.

Impact

Decompensated cirrhosis patients commonly have multiple symptoms, while the management of pre-hospital symptoms is often suboptimal. This study identified neuropsychological, cirrhosis-specific, gastrointestinal symptom clusters and recognized core, bridge and sentinel symptoms in these patients. It also revealed the most prominent symptoms within each cluster. This provides insight into the hierarchy of symptoms, improving symptom management in decompensated cirrhosis.

Patient and Public Involvement

There was no patient or public involvement.

Changes in fatigue among cancer patients before, during, and after radiation therapy: A meta‐analysis

Abstract

Background

Fatigue is a common symptom in cancer patients receiving radiotherapy. However, previous studies report inconsistent patterns of fatigue change.

Aim

The aim of this study was to estimate changes in fatigue among patients with cancer before, during, and after radiotherapy.

Methods

Five databases (PubMed, SDOL, CINAHL Plus with Full Text, Medline [ProQuest], and ProQuest Dissertations) were searched for studies published from January 2006 to May 2021. Three effect sizes of fatigue change (immediate, short-term, and long-term) were calculated for each primary study using standardized mean difference. A random-effect model was used to combine effect sizes across studies. Subgroup analyses and meta-regression were performed to identify potential categorical and continuous moderators, respectively.

Results

Sixty-five studies were included in this meta-analysis. The weighted mean effect size for immediate, short-term, and long-term effects was 0.409 (p < .001; 95% CI [0.280, 0.537]), 0.303 (p < .001; 95% CI [0.189, 0.417]), and 0.201 (p = .05; 95% CI [−0.001, 0.404]), respectively. Studies with prostate cancer patients had a significantly higher short-term (0.588) and long-term weight mean effect size (0.531) than studies with breast (0.128, −0.072) or other cancers (0.287, 0.215). Higher radiotherapy dosage was significantly associated with a higher effect size for both immediate (β = .0002, p < .05) and short-term (β = .0002, p < .05) effect.

Linking Evidence to Action

Findings from this meta-analysis indicated that radiotherapy-induced fatigue (RIF) exist for more than 3 months after the completion of treatment. Assessment of radiation-induced fatigue in cancer patients should extend long after treatment completion, especially for patients with prostate cancer and patients receiving a higher radiation dose. Interventions to reduce fatigue tailored for different treatment phases may be developed.

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