Breast cancer stands as the most prevalent type of cancer affecting women globally, and chemotherapy plays a pivotal role in its treatment by diminishing tumour recurrence and enhancing the survival rates of patients. However, chemotherapy-related cognitive impairment (CRCI) often occurs in patients undergoing treatment. Although multiple clinical trials have indicated that exercise therapy can improve CRCI in patients with breast cancer, there are variations in the types of exercise interventions and their effectiveness. We aim to perform a pioneering network meta-analysis (NMA) to assess and prioritise the effectiveness of various exercise interventions in enhancing cognitive function in patients with breast cancer undergoing chemotherapy.

We will search multiple databases, including PubMed, Web of Science, Cochrane, Embase, China National Knowledge Infrastructure, VIP Database for Chinese Technical Periodicals, Wanfang and Sinomed databases, from their inception to May 2023. The main outcome is the cognitive function changes in patients with breast cancer, including subjective and objective results. We will specifically include randomised controlled trials reported in English and Chinese languages, whose primary outcome consists of an assessment of the cognitive function of patients with breast cancer using standardised and validated assessment tools, encompassing both subjective and objective outcomes. The quality of all the trials included will be evaluated based on ‘Version 2 of the Cochrane tool for assessing the risk of bias in randomized controlled trials (RoB2)’. We will conduct a Bayesian NMA to thoroughly evaluate and compare the effectiveness of different exercise interventions. We will use cumulative ranking probability plots to estimate the ranking of the best interventions for various exercises. Network plots and funnel plots will be employed to display the study sizes and participants of each exercise intervention, as well as potential publication biases.

The study findings will be shared via peer-reviewed journals to ensure the highest quality and credibility of the research. As the reporting will not include any private patient data, there are no ethical considerations associated with this protocol.

CRD42023406597.

Influenza is a major public health threat, and vaccination is the most effective prevention method. However, vaccination coverage remains suboptimal. Low health literacy regarding influenza vaccination may contribute to vaccine hesitancy. This study aims to evaluate the effect of health education interventions on influenza vaccination rates and health literacy.

This cluster randomised controlled trial will enrol 3036 students in grades 4–5 from 20 primary schools in Dongguan City, China. Schools will be randomised to an intervention group receiving influenza vaccination health education or a control group receiving routine health education. The primary outcome is the influenza vaccination rate. Secondary outcomes include health literacy levels, influenza diagnosis rate, influenza-like illness incidence and vaccine protection rate. Data will be collected through questionnaires, influenza surveillance and self-reports at baseline and study conclusion.

Ethical approval has been sought from the Ethics Committee of the School of Public Health, Sun Yat-sen University. Findings from the study will be made accessible to both peer-reviewed journals and key stakeholders.

NCT06048406.

The elimination of mother-to-child transmission (MTCT) of syphilis has been set as a public health priority. However, an instrument to predict the MTCT of syphilis is not available. We aimed to develop and validate an intuitive nomogram to predict the individualised risk of MTCT in pregnant women with syphilis in China.

Retrospective cohort study.

Data was acquired from the National Information System of Prevention of MTCT of Syphilis in Guangdong province between 2011 and 2020.

A total of 13 860 pregnant women with syphilis and their infants were included and randomised 7:3 into the derivation cohort (n=9702) and validation cohort (n=4158).

Congenital syphilis.

Among 13 860 pregnant women with syphilis and their infants included, 1370 infants were diagnosed with congenital syphilis. Least absolute shrinkage and selection operator regression and multivariable logistic regression showed that age, ethnicity, registered residence, marital status, number of pregnancies, transmission route, the timing of syphilis diagnosis, stage of syphilis, time from first antenatal care to syphilis diagnosis and toluidine red unheated serum test titre were predictors of MTCT of syphilis. A nomogram was developed based on the predictors, which demonstrated good calibration and discrimination with an area under the curve of the receiver operating characteristic of 0.741 (95% CI: 0.728 to 0.755) and 0.731 (95% CI: 0.710 to 0.752) for the derivation and validation cohorts, respectively. The net benefit of the predictive models was positive, demonstrating a significant potential for clinical decision-making. We have also developed a web calculator based on this prediction model.

Our nomogram exhibited good performance in predicting individualised risk for MTCT of syphilis, which may help guide early and personalised prevention for MTCT of syphilis.

Cardiometabolic disease (CMD) is the leading cause of mortality in China. A healthy diet plays an essential role in the occurrence and development of CMD. Although the Chinese heart-healthy diet is the first diet with cardiovascular benefits, a healthy dietary pattern that fits Chinese food culture that can effectively reduce the risk of CMD has not been found.

The study is a single-centre, open-label, randomised controlled trial aimed at evaluating the effect of the Reducing Cardiometabolic Diseases Risk (RCMDR) dietary pattern in reducing the risk of CMDs in people with dyslipidaemia and providing a reference basis for constructing a dietary pattern suitable for the prevention of CMDs in the Chinese population. Participants are men and women aged 35–45 years with dyslipidaemia in Tianjin. The target sample size is 100. After the run-in period, the participants will be randomised to the RCMDR dietary pattern intervention group or the general health education control group with a 1:1 ratio. The intervention phases will last 12 weeks, with a dietary intervention of 5 working days per week for participants in the intervention group. The primary outcome variable is the cardiometabolic risk score. The secondary outcome variables are blood lipid, blood pressure, blood glucose, body composition indices, insulin resistance and 10-year risk of cardiovascular diseases.

The study complies with the Measures for Ethical Review of Life Sciences and Medical Research Involving Human Beings and the Declaration of Helsinki. Signed informed consent will be obtained from all participants. The study has been approved by the Medical Ethics Committee of the Second Hospital of Tianjin Medical University (approval number: KY2023020). The results from the study will be disseminated through publications in a peer-reviewed journal.

Chinese Clinical Trial Registry (ChiCTR2300072472).

Triglyceride (TG), triglyceride-glucose index (TyG), body mass index (BMI), TyG-BMI and triglyceride to high-density lipoprotein ratio (TG/HDL) have been reported to be reliable predictors of non-alcoholic fatty liver disease. However, there are few studies on potential predictors of non-alcoholic fatty pancreas disease (NAFPD). Our aim was to evaluate these and other parameters for predicting NAFPD.

Cross-sectional study design.

Physical examination centre of a tertiary hospital in China.

This study involved 1774 subjects who underwent physical examinations from January 2016 to September 2016.

From each subject, data were collected for 13 basic physical examination and blood biochemical parameters: age, weight, height, BMI, TyG, TyG-BMI, high-density lipoprotein (HDL), low-density lipoprotein, total cholesterol, TG, fasting plasma glucose, TG/HDL and uric acid. NAFPD was diagnosed by abdominal ultrasonography. A logistic regression model with a restricted cubic spline was used to evaluate the relationship between each parameter and NAFPD. The receiver operating characteristic (ROC) curve was used to calculate the area under the curve for each parameter.

HDL was negatively correlated with NAFPD, height was almost uncorrelated with NAFPD and the remaining 11 parameters were positively correlated with NAFPD. ROC curve showed that weight-related parameters (weight, BMI and TyG-BMI) and TG-related parameters (TyG, TG and TG/HDL) had high predictive values for the identification of NAFPD. The combinations of multiple parameters had a better prediction effect than a single parameter. All the predictive effects did not differ by sex.

Weight-related and TG-related parameters are good predictors of NAFPD in all populations. BMI showed the greatest predictive potential. Multiparameter combinations appear to be a good way to predict NAFPD.

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.

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.

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.

ChiCTR2200061408.

To assess the impact of HRQoL in patients hospitalised with COVID-19-related SARI at 1 year post discharge, focusing on the potential impact of age, frailty, and disease severity.

Routinely collected outcome data on 1207 patients admitted with confirmed COVID-19 related SARI across all three secondary care sites in our NHS trust over 3 months were assessed in this retrospective cohort study. Of those surviving 1 year, we prospectively collected 36-item short form (SF-36) HRQoL questionnaires, comparing three age groups (

Overall mortality was 46.5% in admitted patients. In our SF-36 cohort (n=169), there was a significant reduction in all HRQoL domains versus normative data; the most significant reductions were in the physical component (pemotional component (physical well-being versus CFS (the correlation coefficient=–0.37, p

There was a significant reduction in all SF-36 domains at 1 year. Poor CFS at admission was associated with a significant and prolonged impact on physical parameters at 1 year. Age had little impact on the severity of HRQoL, except in the domains of physical functioning and the overall physical component.

Alport syndrome (AS) is one of the most common fatal hereditary renal diseases in human, with a high risk of progressing to end-stage renal disease without effective treatments. Mesenchymal stem cells (MSCs) have recently emerged as a promising therapeutic strategy for chronic kidney disease. However, the safety and therapeutic potential of MSC transfusion for patients with AS are still need to be confirmed. Therefore, we have designed a clinical trial to evaluate the hypothesis that intravenous infusion of human umbilical cord-derived MSC (hUC-MSC) is safe, feasible, and well-tolerated in children with AS.

We report the protocol of the first prospective, open-label, single-arm clinical trial to evaluate the safety and preliminary efficacy of hUC-MSC transfusion in children with early-stage AS. Paediatric patients diagnosed with AS who have persistent albuminuria will be candidates for screening. Twelve eligible patients are planned to recruit and will receive hUC-MSC infusions under close safety monitoring, and complete the efficacy assessments at scheduled follow-up visits. The primary endpoints include the occurrence of adverse events to assess safety and the albuminuria level for efficacy evaluation. Secondary endpoint assessments are based on haematuria and glomerular filtration measurements. Each patient’s efficacy endpoints will be evaluated against their baseline levels. Additionally, the underlying mechanism of hUC-MSC therapy will be explored through transcriptomic and proteomic analysis of blood and urine samples.

The protocol (V.1.0, date 17 January 2015) was approved by the institutional review board of the Affiliated Taihe Hospital of Hubei University of Medicine (ethical approval 03 March 2015). Written informed consent will be obtained from the patient and/or guardians before study specific process. In addition to publication in a peer-reviewed scientific journal, a lay summary of study will be available for participants and the public on the Chinese Organization for Rare Disorders website (http://www.cord.org.cn/).

ISRCTN62094626.

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

A single-centre, retrospective cohort study in China.

A Chinese central tertiary hospital.

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.

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).

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.

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.

Breast cancer-related lymphedema (BCRL) is a common postoperative complication of breast cancer. It develops in a chronic and vicious cycle. Once lymphedema occurs, it cannot be cured and bring serious physiological, psychological, social and economic burden to patients. Upper limb functional exercises are an effective and convenient intervention for managing lymphedema. However, the optimal exercise sequence remains unclear. Therefore, we aim to compare the effects of exercise sequences under the guidance of commonly used exercise sequences and lymphatic flow theory.

An exploratory randomised controlled cross-over trial will be conducted. 32 patients with BCRL are randomly allocated into two groups (group A and group B). Group A patients will perform functional exercise from wrist joint to shoulder joint, and the exercise direction of group B is opposite to that of group A, that is, from shoulder joint to wrist joint end. Exercise time is once a day, each 20–30 min, for 2 weeks. After 2 weeks of washout period, A and B groups of exchange exercise sequences (exercise frequency and duration unchanged). The primary outcome is upper limb circumference, and secondary outcomes are upper limb function and lymphedema symptoms.

This study protocol is presented in accordance with the Standard Protocol Items: Recommendations for Interventional Trials guidelines. All participants will sign a written informed consent. The research ethics regional committee of Shanghai Seventh People’s Hospital has approved the study. Regardless of the outcome of this study, the results will be published in open-access journals to ensure public access.

ChiCTR2200066463.

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

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.

A grade A tertiary hospital in Shanghai, China.

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

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.

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.

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).

A retrospective, single-centre cohort study.

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

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.

None.

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

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).

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.

Body mass index (BMI) can affect an individual’s health. The night shift is a characteristic of the nursing profession, which is associated with an abnormal BMI. However, few studies have investigated the association between BMI and burnout in Chinese nurses. This study examined the association between BMI and burnout among Chinese nurses.

A total of 1863 nurses from 12 tertiary hospitals in Shandong Province of China were selected. BMI was calculated as body weight divided by height squared. The Maslach Burnout Service Inventory General Survey (MBI-GS) was used to measure the level of burnout among nurses. Ordinal logistic regression was used to analyse the association between BMI and burnout.

In this study, the prevalence of normal BMI, underweight, overweight, and obesity was 69.2%, 7.5%, 18.2%, and 5.2%, respectively. The prevalence of high emotional exhaustion, high cynicism, and low personal accomplishment among nurses was 26.1%, 38.7%, and 35.6%, respectively. Nurses who were obese were more likely to have high levels of emotional exhaustion (OR=1.493, 95% CI: 1.011 to 2.206) and cynicism (OR=1.511, 95% CI: 1.014 to 2.253), and nurses who were underweight were more likely to have high levels of cynicism (OR=1.593, 95% CI: 1.137 to 2.232) compared with those who were normal weight.

Obesity was positively associated with emotional exhaustion and cynicism, and being underweight was only positively associated with cynicism among Chinese nurses. Hospital administrators should consider BMI when taking effective measures to reduce burnout among nurses.