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Comparing surgical site wound infection after laparoscopic and open radical cystectomies in patients with bladder cancer

Abstract

This study comprehensively compared the effects of laparoscopic and open radical cystectomies on postoperative wound infections and complications in patients with bladder cancer. We conducted a systematic search for relevant studies in PubMed, Embase, Google Scholar, Cochrane Library, China National Knowledge Infrastructure, and Wanfang databases, from database inception to October 2023. Two researchers independently screened the literature, extracted data, and assessed the quality based on the inclusion and exclusion criteria. Data analysis was performed using Stata 17.0 software. Overall, 16 studies involving 1427 patients with bladder cancer were included. The analysis revealed that, compared with open radical cystectomy, laparoscopic radical cystectomy significantly reduced the incidence of wound infections (odds ratio [OR] = 0.38, 95% confidence interval [CI]: 0.23–0.64, p < 0.001) and complications (OR = 0.35, 95%CI: 0.26–0.47, p < 0.001) and significantly shortened the hospital stay duration (standardised mean difference [SMD] = −1.85, 95%CI: −2.34 to −1.36, p < 0.001). Thus, this study determined that laparoscopic radical cystectomy for the treatment of bladder cancer effectively reduced the occurrence of wound infections and complications, and significantly shortened the patient's hospital stay, demonstrating notable therapeutic effectiveness worthy of clinical application.

Efficacy of electro-acupuncture versus sham acupuncture for diabetic peripheral neuropathy: study protocol for a three-armed randomised controlled trial

Por: Zhuang · R. · Xiong · Z. · Yan · S. · Zhang · H. · Dong · Q. · Liu · W. · Miao · J. · Zhuo · Y. · Fan · X. · Zhang · W. · Wang · X. · Liu · L. · Cao · J. · Zhang · T. · Hao · C. · Huang · X. · Jiang · L.
Introduction

Specific treatment for diabetic peripheral neuropathy (DPN) is still lacking, and acupuncture may relieve the symptoms. We intend to investigate the efficacy and safety of electro-acupuncture (EA) in alleviating symptoms associated with DPN in diabetes.

Methods and analysis

This multicentre, three-armed, participant- and assessor-blind, randomised, sham-controlled trial will recruit 240 eligible participants from four hospitals in China and will randomly assign (1:1:1) them to EA, sham acupuncture (SA) or usual care (UC) group. Participants in the EA and SA groups willl receive either 24-session EA or SA treatment over 8 weeks, followed by an 8-week follow-up period, while participants in the UC group will be followed up for 16 weeks. The primary outcome of this trial is the change in DPN symptoms from baseline to week 8, as rated by using the Total Symptom Score. The scale assesses four symptoms: pain, burning, paraesthesia and numbness, by evaluating the frequency and severity of each. All results will be analysed with the intention-to-treat population.

Ethics and dissemination

The protocol has been approved by the Ethics Committee of the Beijing University of Chinese Medicine (Identifier: 2022BZYLL0509). Every participant will be informed of detailed information about the study before signing informed consent. The results of this trial will be published in a peer-reviewed journal.

Trial registration number

ChiCTR2200061408.

Fall risk perception in older adults: A concept analysis

Abstract

Background

Fall prevention is crucial for older adults. Enhanced fall risk perception can encourage older adults to participate in fall prevention programs. However, there is still no unified definition of the concept of fall risk perception.

Objective

To explore the concept of fall risk perception in older adults.

Design

A concept analysis.

Data Sources

The literature was searched using online databases including PubMed, Cochrane Library, Embase, CINAHL Complete, PsycINFO, Web of Science, China National Knowledge Infrastructure, WangFang and SinoMed. Searches were also conducted in Chinese and English dictionaries. The literature dates from the establishment of the database to April 2023.

Methods

The methods of Walker and Avant were used to identify antecedents, attributes and consequences of the concept of “fall risk perception” in older adults.

Results

Eighteen publications were included eventually. The attributes were identified as: (1) dynamic change, with features of continuum and stage; (2) whether falls are taken seriously; (3) a self-assessment of the fall probability, which is driven by individual independence; and (4) involves multiple complex emotional responses. The antecedents were identified as: (1) demographic and disease factors; (2) psychological factors and (3) environmental factors. The consequences were identified as: (1) risk-taking behaviour; (2) risk compensation behaviour; (3) risk transfer behaviour; and (4) emotions.

Conclusion

A theoretical definition of fall risk perception was identified. A conceptual model was developed to demonstrate the theoretical relationships between antecedents, attributes and consequences. This is helpful for the development of relevant theories and the formulation of fall prevention measures based on fall risk perception as the intervention target.

Comprehensive assessment of risk factors and pathogenic characteristics of wound infections following thoracoscopic radical resection for lung cancer

Abstract

Lung cancer remains a leading cause of cancer-related mortality, with surgical resection as a primary treatment modality. However, postoperative wound infections (PWIs) pose significant risks following thoracoscopic radical resection. This study aims to identify the risk factors and pathogenetic characteristics associated with PWIs in lung cancer surgery. A comprehensive retrospective study was conducted from August 2021 to June 2023 at our institution. The study included 30 patients who developed PWIs and 60 controls who did not, following thoracoscopic radical resection for lung cancer. We evaluated various factors including age, hospital stay, intraoperative blood loss, body mass index (BMI), operation time, prophylactic antibiotic use, diabetes mellitus and tumour staging. Diagnostic criteria for PWIs were based on clinical signs and microbiological confirmation. Statistical analysis was performed using SPSS software, utilizing chi-square tests, and univariate and multivariate logistic regression analyses. The predominant pathogens identified in PWIs were Escherichia coli, Klebsiella pneumoniae and Pseudomonas aeruginosa. Univariate analysis revealed operation time (≥4 h) and diabetes mellitus as significant risk factors for PWIs, while prophylactic antibiotic use was associated with a lower incidence of PWIs. Multivariate analysis further confirmed these findings, highlighting prolonged operation time and diabetes as significant predictors of PWIs, and antibiotic use as a protective factor. Prolonged operation time and diabetes mellitus significantly increase the risk of PWIs following thoracoscopic radical resection for lung cancer, whereas prophylactic antibiotics play a protective role. These findings underscore the importance of tailored preventive strategies in clinical practice to minimize the occurrence of postoperative infections and improve surgical outcomes in lung cancer patients.

Effect of platelet‐rich plasma on healing of lower extremity diabetic skin ulcers: A meta‐analysis

Abstract

The aim of this research is to explore the therapeutic efficacy of platelet-rich plasma (PRP) on the cutaneous ulceration of diabetes mellitus (DM). From the beginning of the database until January 2024, we looked through several databases to obtain randomised, controlled PRP studies to treat the wound healing of DM in adult patients. The Cochrane Collaboration's Risk-Of-Bias Instrument was used to evaluate the risk of bias in randomised, controlled studies. Funnel plots, sensitivity analyses and Egger regression tests were employed to determine the reliability and effectiveness of the meta-analyses. Depending on the degree of heterogeneity, a fixed or random effect model has been used. The statistical significance was determined to be below 0.05. Altogether 281 trials were collected from the database and entered into Endnote Software for screening, and 15 trials were analysed. It was found that PRP was associated with a higher rate of wound healing (OR, 3.23; 95% CI, 2.42, 4.31 p < 0.0001). PRP was associated with a reduction in the risk of post-operative wound infection (OR, 0.46; 95% CI, 0.21, 0.99 p = 0.05). PRP was associated with a reduction in the risk of amputations amongst those with DM (OR, 0.50; 95% CI, 0.30, 0.84 p = 0.009). Overall, PRP treatment for DM is expected to improve the rate of wound healing, decrease the risk of wound infection and decrease the risk of amputations.

Tools to measure the burden on informal caregivers of cancer patients: A literature review

Abstract

Objectives

(1) To describe existing tools to assess the burden of informal caregivers of people with cancer, (2) to describe how these tools have been validated and (3) to describe the areas of interest of existing assessment tool entries.

Background

The caregiver burden of informal caregivers of people with cancer greatly affects their lives. There is a wide variety of relevant assessment tools available, but there are no studies to help researchers to select tools.

Methods

A search was conducted using the keywords ‘cancer’, ‘caregiver’, ‘burden’ and ‘scale’ in Medline (PubMed), CINAHL and EMBASE to include articles that developed or applied tools to assess the burden on informal caregivers of cancer patients. Once eligible tools were identified, we searched their ‘primary reference’ studies. If the original scale was assessed in a population other than informal caregivers of cancer patients, we again searched for psychometric measures in the population of caregivers of cancer patients.

Results

This study retrieved 938 articles on developing or applying the informal caregiver burden instrument for cancer patients, including 42 scales. Internal consistency of the original scales ranged from 0.53 to 0.96. Nineteen scales initially developed to assess caregiver burden for patients with dementia, stroke and other disorders were later used for caregivers of cancer patients, eight of which have not yet been validated. Reclassifying all scale domains of concern revealed that scale assessments focused more on caregivers' physical health, emotional state and caregiving tasks.

Conclusion

This review identifies many scales for assessing informal caregiver burden in cancer patients and gives scales recommended. However, a portion still needs to be validated. The development of a new scale proposes to be based on a theoretical framework and to consider dimensions for assessing support resources.

Impact

What problem did the study address?: This paper collates assessment tools on the burden of informal carers of people with cancer. It also provides information on the applicable population, reliability and validity.

What were the main findings?: 41 scales could be considered for use, eight of which have not been validated. The scales focus more on assessing caregivers' physical health, emotional state and caregiving tasks, and less on the dimension of support resources.

Where and on whom will the research have an impact?: There are implications for informal carers of cancer patients in hospitals or in the community, as well as for relevant researchers.

Reporting Method

Retrieved with reference to systematic evaluation.

Patient or Public Contribution

No patient or public contribution.

Physical frailty trajectories in older stroke survivors: Findings from a national cohort study

Abstract

Background

Physical frailty (PF) is highly prevalent and associated with undesirable outcomes in stroke survivors aged 65 years or older. However, the long-term trajectories of PF are understudied in those older stroke survivors.

Aims

To identify PF trajectories and relative predictors associated with the PF trajectories in older stroke survivors.

Design

This is a secondary analysis of a population-based cohort study in the United States.

Methods

Six hundred and sixty-three older stroke survivors from the National Health and Ageing Trends Study from 2015 to 2021 were included. PF was operationally assessed based on the Fried Frailty Phenotype. Trajectories were identified by group-based trajectory modelling. The associations between sociodemographic characteristics, clinical factors, symptoms, cognitive factors and PF trajectories were examined using the design-based logistic regression method.

Results

Most older stroke survivors were 75 and older (63.32%), female (53.99%), white (80.54%) and partnered (50.64%). Two PF trajectory groups were identified (Group 1: low risk, robust; 49.47%; Group 2: high risk, deteriorating; 50.53%). Individuals were at a higher risk to be assigned to Group 2 if they were 75–84 years (adjusted odds ratio [aOR]: 2.16, 95% CI: 1.23–3.80) or 85+ years (aOR: 2.77, 95% CI: 1.52–5.04), had fair self-reported health (aOR: 2.78, 95% CI: 1.53–5.07) or poor self-reported health (aOR: 3.37, 95% CI: 1.51–7.52), had comorbidities (aOR: 8.44, 95% CI: 1.31–54.42), had breathing problems (aOR: 2.18, 95% CI: 1.18–4.02) and had balance problems (aOR: 1.70, 95% CI: 1.06–2.73).

Conclusion

PF trajectories in older stroke survivors were heterogeneous and were associated with age, self-rated health status, comorbidities, breathing problems and balance problems.

Implication to Clinical Practice

Early, routine, dynamic screening for stroke-related physical frailty (PF) and relative predictors might be beneficial for identifying the most vulnerable individuals. Our findings might help develop strategies to manage PF progression.

Reporting Method

The reporting followed the STROBE guideline.

AE-GPT: Using Large Language Models to extract adverse events from surveillance reports-A use case with influenza vaccine adverse events

by Yiming Li, Jianfu Li, Jianping He, Cui Tao

Though Vaccines are instrumental in global health, mitigating infectious diseases and pandemic outbreaks, they can occasionally lead to adverse events (AEs). Recently, Large Language Models (LLMs) have shown promise in effectively identifying and cataloging AEs within clinical reports. Utilizing data from the Vaccine Adverse Event Reporting System (VAERS) from 1990 to 2016, this study particularly focuses on AEs to evaluate LLMs’ capability for AE extraction. A variety of prevalent LLMs, including GPT-2, GPT-3 variants, GPT-4, and Llama2, were evaluated using Influenza vaccine as a use case. The fine-tuned GPT 3.5 model (AE-GPT) stood out with a 0.704 averaged micro F1 score for strict match and 0.816 for relaxed match. The encouraging performance of the AE-GPT underscores LLMs’ potential in processing medical data, indicating a significant stride towards advanced AE detection, thus presumably generalizable to other AE extraction tasks.

Chinese herbal medicine for post-viral fatigue: A systematic review of randomized controlled trials

by Le-Yan Hu, An-Qi Cai, Bo Li, Zheng Li, Jian-Ping Liu, Hui-Juan Cao

Background

Fatigue is a common symptom after viral infection. Chinese herbal medicine (CHM) is thought to be a potential effective intervention in relieving fatigue.

Purpose

To assess the effectiveness and safety of CHM for the treatment of post-viral fatigue.

Study design

Systematic review and meta-analysis of randomized controlled trials (RCTs).

Methods

The protocol of this systematic review was registered on PROSPERO (CRD42022380356). Trials reported changes of fatigue symptom, which compared CHM to no treatment, placebo or drugs, were included. Six electronic databases and three clinical trial registration platforms were searched from inception to November 2023. Literature screening, data extraction, and risk bias assessment were independently carried out by two reviewers. Quality of the included trials was evaluated using Cochrane risk of bias tool, and the certainty of the evidence was evaluated using GRADE. The meta-analysis was performed using Review Manager 5.4, mean difference (MD) and its 95% confidence interval (CI) was used for estimate effect of continuous data. Heterogeneity among trials was assessed through I2 value.

Results

Overall, nineteen studies with 1921 patients were included. Results of individual trial or meta-analysis showed that CHM was better than no treatment (MD = -0.80 scores, 95%CI -1.43 to -0.17 scores, P = 0.01, 60 participants, 1 trial), placebo (MD = -1.90 scores, 95%CI -2.38 to -1.42 scores, P.00001, 184 participants, 1 trial), placebo on basis of rehabilitation therapy (MD = -14.90 scores, 95%CI -24.53 to -5.27 scores, P = 0.02, 118 participants, 1 trial) or drugs (MD = -0.38 scores, 95%CI -0.48 to -0.27 scores, I2 = 0%, Pto drugs alone also showed better effect of combination therapy (average MD = -0.56 scores). In addition, CHM may improve the percentage of CD4 T lymphocytes and reduce the level of serum IL-6 (MD = -14.64 scores, 95%CI 18.36 to -10.91 scores, I2 = 0%, P Conclusion

Current systematic review found that the participation of CHM can improve the symptoms of post-viral fatigue and some immune indicators. However, the safety of CHM remains unknown and large sample, high quality multicenter RCTs are still needed in the future.

Identification of the single and combined acute toxicity of Cr and Ni with <i>Heterocypris</i> sp. and the quantitative structure-activity relationship (QSAR) model

by Chi Su, Yilong Hua, Yi Liu, Shu Tao, Fei Jia, Wenhui Zhao, Wangyang Lin

Mining wastewater with heavy metals poses a serious threat to the ecological environment. However, the acute single and combined ecological effects of heavy metals, such as chromium (Cr) and nickel (Ni), on freshwater ostracods, and the development of relevant prediction models, remain poorly understood. In this study, Heterocypris sp. was chosen to investigate the single and combined acute toxicity of Cr and Ni. Then, the quantitative structure-activity relationship (QSAR) model was used to predict the combined toxicity of Cr and Ni. The single acute toxicity experiments revealed high toxicity for both Cr and Ni. In addition, Cr exhibited greater toxicity compared to Ni, as evidenced by its lower 96-hour half-lethal concentration (LC50) of 1.07 mg/L compared to 4.7 mg/L for Ni. Furthermore, the combined acute toxicity experiments showed that the toxicity of Cr-Ni was higher than Ni but lower than Cr. Compared with the concentration addition (CA) and independent action (IA) models, the predicted results of the QSAR model were more consistent with the experimental results for the Cr-Ni combined acute toxicity. So, the high accuracy of QSAR model identified its feasibility to predict the toxicity of heavy metal pollutants in mining wastewater.

Prescriber decision-making on antithrombotic therapy after endovascular intervention for peripheral artery disease: a protocol for a discrete choice experiment

Por: Zhu · A. · Tang · R. · Rajendran · S. · Hajian · H. · Aitken · S. J.
Introduction

Peripheral artery disease (PAD) is a major risk factor for cardiovascular morbidity and mortality, despite surgical and endovascular treatments. Emerging evidence supports the use of immediate antithrombotic medications after endovascular intervention for PAD, however, there is a lack of consensus regarding choice and duration of antithrombotic therapy. Prescriber decision-making is a complex process, with prior studies demonstrating patient factors can influence variability in antithrombotic therapy for PAD. However, it remains unclear the relative contribution of these factors. This paper describes a planned study that aims to (1) determine the influence of patient factors on clinician preference for antithrombotic therapy following endovascular intervention and (2) compare differences in prescribing preferences between consultant vascular surgeons and trainees.

Methods and analysis

This cross-sectional survey will evaluate antithrombotic prescribing choices using a discrete choice experiment (DCE) that has been developed and piloted for this study. A list of attributes and levels was generated using a mixed-methods approach. This included an extensive literature review and semistructured interviews with prescribing clinicians. Following final selection of included attributes, specialised software was used to construct a D-efficient design for the DCE questionnaire. The electronic questionnaire will be administered to vascular trainees and consultant surgeons across Australia. These data will be analysed using multinomial logistic regression, treating the decision to prescribe antithrombotic therapy as a function of both the attributes of the two alternatives, as well as characteristics of the respondent. Latent class analysis will be used to explore heterogeneity of responses.

Ethics and dissemination

Ethics approval was obtained from the University of Sydney Human Ethics committee (2023/474). The results of this study will be published in peer-reviewed journals and presented at national vascular surgical conferences. These results will be used to improve understanding how clinicians make prescribing decisions and to inform future strategy to enhance guideline-directed prescribing.

Deep learning model to predict lupus nephritis renal flare based on dynamic multivariable time-series data

Por: Huang · S. · Chen · Y. · Song · Y. · Wu · K. · Chen · T. · Zhang · Y. · Jia · W. · Zhang · H.-T. · Liang · D.-D. · Yang · J. · Zeng · C.-H. · Li · X. · Liu · Z.-H.
Objectives

To develop an interpretable deep learning model of lupus nephritis (LN) relapse prediction based on dynamic multivariable time-series data.

Design

A single-centre, retrospective cohort study in China.

Setting

A Chinese central tertiary hospital.

Participants

The cohort study consisted of 1694 LN patients who had been registered in the Nanjing Glomerulonephritis Registry at the National Clinical Research Center of Kidney Diseases, Jinling Hospital from January 1985 to December 2010.

Methods

We developed a deep learning algorithm to predict LN relapse that consists of 59 features, including demographic, clinical, immunological, pathological and therapeutic characteristics that were collected for baseline analysis. A total of 32 227 data points were collected by the sliding window method and randomly divided into training (80%), validation (10%) and testing sets (10%). We developed a deep learning algorithm-based interpretable multivariable long short-term memory model for LN relapse risk prediction considering censored time-series data based on a cohort of 1694 LN patients. A mixture attention mechanism was deployed to capture variable interactions at different time points for estimating the temporal importance of the variables. Model performance was assessed according to C-index (concordance index).

Results

The median follow-up time since remission was 4.1 (IQR, 1.7–6.7) years. The interpretable deep learning model based on dynamic multivariable time-series data achieved the best performance, with a C-index of 0.897, among models using only variables at the point of remission or time-variant variables. The importance of urinary protein, serum albumin and serum C3 showed time dependency in the model, that is, their contributions to the risk prediction increased over time.

Conclusions

Deep learning algorithms can effectively learn through time-series data to develop a predictive model for LN relapse. The model provides accurate predictions of LN relapse for different renal disease stages, which could be used in clinical practice to guide physicians on the management of LN patients.

Subphenotypes of self-reported symptoms and outcomes in long COVID: a prospective cohort study with latent class analysis

Por: Kitsios · G. D. · Blacka · S. · Jacobs · J. J. · Mirza · T. · Naqvi · A. · Gentry · H. · Murray · C. · Wang · X. · Golubykh · K. · Qurashi · H. · Dodia · A. · Risbano · M. · Benigno · M. · Emir · B. · Weinstein · E. · Bramson · C. · Jiang · L. · Dai · F. · Szigethy · E. · Mellors · J. W. · Met
Objective

To characterise subphenotypes of self-reported symptoms and outcomes (SRSOs) in postacute sequelae of COVID-19 (PASC).

Design

Prospective, observational cohort study of subjects with PASC.

Setting

Academic tertiary centre from five clinical referral sources.

Participants

Adults with COVID-19 ≥20 days before enrolment and presence of any new self-reported symptoms following COVID-19.

Exposures

We collected data on clinical variables and SRSOs via structured telephone interviews and performed standardised assessments with validated clinical numerical scales to capture psychological symptoms, neurocognitive functioning and cardiopulmonary function. We collected saliva and stool samples for quantification of SARS-CoV-2 RNA via quantitative PCR.

Outcomes measures

Description of PASC SRSOs burden and duration, derivation of distinct PASC subphenotypes via latent class analysis (LCA) and relationship with viral load.

Results

We analysed baseline data for 214 individuals with a study visit at a median of 197.5 days after COVID-19 diagnosis. Participants reported ever having a median of 9/16 symptoms (IQR 6–11) after acute COVID-19, with muscle-aches, dyspnoea and headache being the most common. Fatigue, cognitive impairment and dyspnoea were experienced for a longer time. Participants had a lower burden of active symptoms (median 3 (1–6)) than those ever experienced (p

Conclusions

We identified three distinct PASC subphenotypes. We highlight that although most symptoms progressively resolve, specific PASC subpopulations are impacted by either high burden of constitutional symptoms or persistent olfactory/gustatory dysfunction, requiring prospective identification and targeted preventive or therapeutic interventions.

High-flow nasal oxygenation versus face mask oxygenation for preoxygenation in patients undergoing double-lumen endobronchial intubation: protocol of a randomised controlled trial

Por: He · R. · Fang · Y. · Jiang · Y. · Yao · D. · Li · Z. · Zheng · W. · Liu · Z. · Luo · N.
Introduction

With the growing emphasis on swift recovery, minimally invasive thoracic surgery has advanced significantly. Video-assisted thoracoscopic surgery (VATS) has seen rapid development, and the double-lumen tube (DLT) remains the most dependable method for tracheal intubation in VATS. However, hypoxaemia during DLT intubation poses a threat to the perioperative safety of thoracic surgery patients. Recently, transnasal high-flow nasal oxygen (HFNO) has shown promise in anaesthesia, particularly in handling short-duration hypoxic airway emergencies. Yet, its application in the perioperative period for patients undergoing pulmonary surgery with compromised cardiopulmonary function lacks evidence, and there are limited reliable clinical data.

Methods and analysis

A prospective, randomised, controlled, single-blind design will be employed in this study. 112 patients aged 18–60 years undergoing elective VATS-assisted pulmonary surgery will be enrolled and randomly divided into two groups: the nasal high-flow oxygen group (H group) and the traditional mask transnasal oxygen group (M group) in a 1:1 ratio. HFNO will be used during DLT intubation for the prevention of asphyxia in group H, while conventional intubation procedures will be followed by group M. Comparison will be made between the two groups in terms of minimum oxygen saturation during intubation, hypoxaemia incidence during intubation, perioperative complications and postoperative hospital days.

Ethics and dissemination

Approval for this study has been granted by the local ethics committee at Shenzhen Second People’s Hospital. The trial results will be disseminated through peer-reviewed journals and scientific conferences.

Trial registration number

NCT05666908.

Exploring promotion factors of resilience among emergency nurses: a qualitative study in Shanghai, China

Por: Jiang · J. · Liu · S. · Chi · C. · Liu · Y. · Han · P. · Sun · L. · Zhuang · Y.
Objective

To qualitatively explore the factors that enhance resilience among emergency nurses (ENs).

Design

This study is an exploratory qualitative investigation. Semistructured in-depth interviews were used for data collection, while qualitative content analysis was applied for data analysis.

Setting

A grade A tertiary hospital in Shanghai, China.

Participants

The study subjects comprised 17 ENs, who were selected using a purposive sampling method.

Results

Three main themes and the nine subthemes emerged from the study, that is, individual resources, including competency, personality traits and occupational benefits; family resources, including close parent–child attachment and supportive family dynamics; social resources, including peer support, organisational support, resilient leadership and popular support.

Conclusion

This qualitative study explored the factors promoting resilience among ENs and provided a reference for managers to formulate future management strategies. From the perspective of positive psychology, nurses should receive comprehensive support, focusing on improving their professional accomplishment and role ability while prioritising the development of resilient leadership. These efforts are expected to drive progress and growth across the emergency care team.

Predictive value of the Trauma Rating Index in Age, Glasgow Coma Scale, Respiratory rate and Systolic blood pressure score (TRIAGES) for the short-term mortality of older patients with isolated traumatic brain injury: a retrospective cohort study

Por: Jiang · D. · Chen · T. · Yuan · X. · Yang · Y. · Shen · Y. · Huang · Z.
Objectives

This study aimed to evaluate the effectiveness of the Trauma Rating Index in Age, Glasgow Coma Scale, Respiratory rate and Systolic blood pressure score (TRIAGES) in predicting 24-hour in-hospital mortality among patients aged 65 years and older with isolated traumatic brain injury (TBI).

Design

A retrospective, single-centre cohort study.

Setting

This study was conducted at a government-run tertiary comprehensive hospital.

Participants

This study included 982 patients aged 65 years or older with isolated TBI, who were admitted to the emergency department between 1 January 2020 and 31 December 2021.

Interventions

None.

Primary outcome

24-hour in-hospital mortality was the primary outcome.

Results

Among the 982 patients, 8.75% died within 24 hours of admission. The non-survivors typically had higher TRIAGES and lower GCS scores. Logistic regression showed significant associations of both TRIAGES and GCS with mortality; the adjusted ORs were 1.98 (95% CI 1.74 to 2.25) for TRIAGES and 0.72 (95% CI 0.68 to 0.77) for GCS. Receiver operating characteristic (ROC) analysis indicated an area under the ROC curve of 0.86 for GCS and 0.88 for TRIAGES, with a significant difference (p=0.012). However, precision–recall curve (PRC) analysis revealed an area under the PRC of 0.38 for GCS and 0.47 for TRIAGES, without a significant difference (p=0.107).

Conclusions

The TRIAGES system is a promising tool for predicting 24-hour in-hospital mortality in older patients with TBI, demonstrating comparable or slightly superior efficacy to the GCS. Further multicentre studies are recommended for validation.

Influencing factors of inter‐nursing lateral violence: A qualitative systematic review

Abstract

Background

Lateral violence is a global social problem that has attracted considerable attention in the field of public health. This has seriously affected the quality of care, the safety of patients' lives and the career development of nurses.

Objective

To systematically evaluate the factors influencing of nursing lateral violence and provide evidence for preventing and reducing inter-nursing lateral violence.

Methods

A systematic review of qualitative study was performed in accordance with the Enhancing Transparency in Reporting the Synthesis of Qualitative Research (ENTREQ) guidelines. We collected qualitative studies on the factors influencing of inter-nursing lateral violence by searching PubMed, EMbase, The Cochrane Library, Web of Science, CINAHL, Science Direct, WanFang Data, China National Knowledge Infrastructure (CNKI), Chinese Scientific Journal Database (VIP) and Chinese Biomedical Literature Database (CBM). Data from inception to September 2023. Literature screening and data extraction were independently conducted by two reviewers. The Critical Appraisal Skills Program (CASP) scale was employed to assess the quality of the studies, including objectives, methodologies, designs, results and contributions.

Results

A total of 25 studies involving 882 participants were included. The results of the thematic analysis indicated that inter-nursing lateral violence was influenced by hospital management, perpetrators, victims and sociodemographic factors.

Conclusion

Inter-nursing lateral violence was influenced by multidimensional factors. To reduce the occurrence of horizontal violence among nurses, hospitals need to explore the establishment and improvement of a horizontal violence resolution mechanism, and schools should pay attention to the joint support and education of nursing students, create a good working environment and harmonious nursing culture, and promote mutual respect among nurses.

Relevance to Clinical Practice

This review emphasises the importance of the influencing factors of horizontal violence among nurses, analyses the importance of influencing factors from different perspectives, and proposes corresponding measures to reduce inter-nursing lateral violence.

No Patient or Public Contribution

This study was mostly a literature review; neither patients nor pertinent staff were involved in either the design or conduct of the investigation.

Effects of transitional care interventions on quality of life in people with lung cancer: A systematic review and meta‐analysis

Abstract

Aim

To identify and appraise the quality of evidence of transitional care interventions on quality of life in lung cancer patients.

Background

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.

Design

Systematic review and meta-analysis.

Methods

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).

Results

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.

Conclusions

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.

Relevance to Clinical Practice

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.

Patient or Public Contribution

No Patient or Public Contribution.

Machine learning decision support model for discharge planning in stroke patients

Abstract

Background/aim

Efficient discharge for stroke patients is crucial but challenging. The study aimed to develop early predictive models to explore which patient characteristics and variables significantly influence the discharge planning of patients, based on the data available within 24 h of admission.

Design

Prospective observational study.

Methods

A prospective cohort was conducted at a university hospital with 523 patients hospitalised for stroke. We built and trained six different machine learning (ML) models, followed by testing and tuning those models to find the best-suited predictor for discharge disposition, dichotomized into home and non-home. To evaluate the accuracy, reliability and interpretability of the best-performing models, we identified and analysed the features that had the greatest impact on the predictions.

Results

In total, 523 patients met the inclusion criteria, with a mean age of 61 years. Of the patients with stroke, 30.01% had non-home discharge. Our model predicting non-home discharge achieved an area under the receiver operating characteristic curve of 0.95 and a precision of 0.776. After threshold was moved, the model had a recall of 0.809. Top 10 variables by importance were National Institutes of Health Stroke Scale (NIHSS) score, family income, Barthel index (BI) score, FRAIL score, fall risk, pressure injury risk, feeding method, depression, age and dysphagia.

Conclusion

The ML model identified higher NIHSS, BI, and FRAIL, family income, higher fall risk, pressure injury risk, older age, tube feeding, depression and dysphagia as the top 10 strongest risk predictors in identifying patients who required non-home discharge to higher levels of care. Modern ML techniques can support timely and appropriate clinical decision-making.

Relevance to Clinical Practice

This study illustrates the characteristics and risk factors of non-home discharge in patients with stroke, potentially contributing to the improvement of the discharge process.

Reporting Method

STROBE guidelines.

Effects of loose combined cutting seton surgery on wound healing and pain in patients with high anal fistula: A meta‐analysis

Abstract

A meta-analysis was conducted to evaluate the effects of loose combined cutting seton surgery on wound healing and pain in patients with high anal fistula, aiming to provide evidence-based medical evidence for surgical method selection for these patients. A comprehensive computerized search of PubMed, Cochrane Library, EMBASE, Wanfang and China National Knowledge Infrastructure databases was conducted to collect all relevant studies published up to November 2023, evaluating the effects of loose combined cutting seton surgery in treating patients with high anal fistulas. Two researchers independently screened, extracted data, and assessed the quality of the identified studies. RevMan 5.4 software was employed for data analysis. Overall, 16 articles were included, comprising 1124 patients, with 567 undergoing loose combined cutting seton surgery and 557 undergoing simple cutting seton surgery. The analysis revealed patients undergoing loose combined cutting seton surgery had a higher rate of postoperative wound healing (97.44% vs. 81.69%, odds ratio [OR]: 7.49, 95% confidence interval [CI]: 4.29–13.10, p < 0.00001), shorter wound healing time (standardized mean differences [SMD]: −1.48, 95% CI: −1.89 to −1.08, p < 0.00001), lower postoperative wound pain scores (SMD: −2.51, 95% CI: −3.51 to −1.51, p < 0.00001), and a lower rate of postoperative complications (3.43% vs. 20.83%, OR: 0.13, 95% CI: 0.05–0.31, p < 0.00001). The current evidence suggests that compared to simple cutting seton surgery, loose combined cutting seton surgery in treating high anal fistulas can promote postoperative wound healing, shorten wound healing time, alleviate pain, and reduce the incidence of postoperative complications, making it a worthy clinical practice for widespread application.

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