ST-segment elevation myocardial infarction (STEMI) with high thrombus burden is associated with a poor prognosis. Manual aspiration thrombectomy reduces coronary vessel distal embolisation, improves microvascular perfusion and reduces cardiovascular deaths, but it promotes more strokes and transient ischaemic attacks in the subgroup with high thrombus burden. Intrathrombus thrombolysis (ie, the local delivery of thrombolytics into the coronary thrombus) is a recently proposed treatment approach that theoretically reduces thrombus volume and the risk of microvascular dysfunction. However, the safety and efficacy of intrathrombus thrombolysis lack sufficient clinical evidence.

The intrAThrombus Thrombolysis versus aspiRAtion thrombeCTomy during prImary percutaneous coronary interVEntion trial is a multicentre, prospective, open-label, randomised controlled trial with the blinded assessment of outcomes. A total of 2500 STEMI patients with high thrombus burden who undergo primary percutaneous coronary intervention will be randomised 1:1 to intrathrombus thrombolysis with a pierced balloon or upfront routine manual aspiration thrombectomy. The primary outcome will be the composite of cardiovascular death, recurrent myocardial infarction, cardiogenic shock, heart failure readmission, stent thrombosis and target-vessel revascularisation up to 180 days.

The trial was approved by Ethics Committees of China-Japan Friendship Hospital (2022-KY-013) and all other participating study centres. The results of this trial will be published in peer-reviewed journals.

NCT05554588.

The aim of this study is to establish a self-simple-to-use nomogram to predict the risk of multimorbidity among middle-aged and older adults.

A retrospective cohort study.

We used data from the Chinese Longitudinal Healthy Longevity Survey, including 7735 samples.

Samples’ demographic characteristics, modifiable lifestyles and depression were collected. Cox proportional hazard models and nomogram model were used to estimate the risk factors of multimorbidity.

A total of 3576 (46.2%) participants have multimorbidity. The result showed that age, female (HR 0.80, 95% CI 0.72 to 0.89), chronic disease (HR 2.59, 95% CI 2.38 to 2.82), sleep time (HR 0.78, 95% CI 0.72 to 0.85), regular physical activity (HR 0.88, 95% CI 0.81 to 0.95), drinking (HR 1.27 95% CI 1.16 to 1.39), smoking (HR 1.40, 95% CI 1.26 to 1.53), body mass index (HR 1.04, 95% CI 1.03 to 1.05) and depression (HR 1.02, 95% CI 1.01 to 1.03) were associated with multimorbidity. The C-index of nomogram models for derivation and validation sets were 0.70 (95% CI 0.69 to 0.71, p=0.006) and 0.71 (95% CI 0.70 to 0.73, p=0.008), respectively.

We have crafted a user-friendly nomogram model for predicting multimorbidity risk among middle-aged and older adults. This model integrates readily available and routinely assessed risk factors, enabling the early identification of high-risk individuals and offering tailored preventive and intervention strategies.

This study aimed to explore the mediating role of resilience and resignation coping in the relationship between consultation empathy and depression in patients with COVID-19.

Cross-sectional study.

Participants were recruited from a tertiary hospital in Guangzhou, Guangdong province.

A total of 215 patients were recruited for this study.

A total of 215 patients completed the Consultation and Relational Empathy Measure, Connor-Davidson Resilience Scale, Medical Coping Modes Questionnaire and Hospital Anxiety and Depression Scale. PROCESS 4.1 model 6 was used to analyse the moderated mediating effects.

Consultation empathy had a positive correlation with resilience (r=0.34, p

Consultation empathy not only predicted depression directly, but also indirectly predicted depression through the chain mediating effects of resilience and resignation coping.

To develop the first prediction model based on the common clinical symptoms of high-altitude pulmonary edema (HAPE), enabling early identification and an easy-to-execute self-risk prediction tool.

A total of 614 patients who consulted People’s Hospital of Tibet Autonomous Region between January 2014 and April 2022 were enrolled. Out of those, 508 patients (416 males and 92 females) were diagnosed with HAPE and 106 were patients without HAPE (33 females and 72 males). They were randomly distributed into training (n=431) and validation (n=182) groups. Univariate and multivariate analysis were used to screen predictors of HAPE selected from the 36 predictors; nomograms were established based on the results of multivariate analysis. The receiver operating characteristic curve (ROC) was developed to obtain the area under the ROC curve (AUC) of the predictive model, and its predictive power was further evaluated by calibrating the curve, while the Decision Curve Analysis (DCA) was developed to evaluate the clinical applicability of the model, which was visualised by nomogram.

All six predictors were significantly associated with the incidence of HAPE, and two models were classified according to whether the value of SpO₂ (percentage of oxygen in the blood) was available in the target population. Both could accurately predict the risk of HAPE. In the validation cohort, the AUC of model 1 was 0.934 with 95% CI (0.848 to 1.000), and model 2 had an AUC of 0.889, 95% CI (0.779 to 0.999). Calibration plots showed that the predicted and actual HAPE probabilities fitted well with internal validation, and the clinical decision curve shows intervention in the risk range of 0.01–0.98, resulting in a net benefit of nearly 99%.

The recommended prediction model (nomogram) could estimate the risk of HAPE with good precision, high discrimination and possible clinical applications for patients with HAPE. More importantly, it is an easy-to-execute scoring tool for individuals without medical professionals’ support.

The optimal puncture technique for neuraxial anaesthesia in different populations is unclear. We sought to obtain data from randomised controlled trials comparing the impact of ultrasound-guided technology and traditional positioning technology on the success rate of neuraxial anaesthesia.

Systematic review and network meta-analysis using study populations, interventions, intervention comparisons, outcome measures and study types.

PubMed, Embase, Cochrane Library and Web of science were searched until 31 September 2022.

We included randomised controlled trials comparing three types of neuraxial anaesthesia: ultrasound-assisted, ultrasound real-time guidance and conventional positioning to describe which neuraxial anaesthesia modality is best for patients and to recommend the appropriate one for different populations.

Five independent reviewers retrieved, screened and edited included studies using standardised methods. Assess risk of bias using the Cochrane Collaboration and Evidence Project tools. Network meta-analysis was performed using STATA V.15 statistical software.

Twenty-two studies containing three different interventions were included. The SUCRA values of first-pass success rates for the three neuraxial anaesthesia methods were real-time guidance (82.8%), ultrasound-assisted (67.1%) and traditional positioning (0.1%). Both ultrasound techniques improved first-pass success rates compared with traditional localization, but there was no significant difference between the two. Subgroup analysis showed that the use of real-time ultrasound guidance for neuraxial anaesthesia in pregnant and patients with obesity improved first-pass success rates. Ultrasound-assisted technology can improve first-attempt success rates in older patients with abnormal lumbar spine anatomy.

Compared with conventional positioning, ultrasound guidance technology can improve the first-pass success rate of neuraxial anaesthesia, but there is no significant difference between ultrasound-assisted and real-time guidance technology. The results of subgroup analysis tell us that the most suitable neuraxial anaesthesia method is different for different groups of people.

PROSPERO number: CRD42022376041.

Long-term care needs for people with dementia are predicted to increase due to increased life expectancy and dementia diagnoses. Most published meta- syntheses of dementia care focus on hospitals or home settings. When focusing on long-term care facilities, most reviews about dementia care only focus on a single outcome, such as feeding, behavioural symptoms management, palliative care and others, which is limited. The present study aims to synthesise qualitative data and examine barriers and facilitators to caring for people with dementia in long-term care facilities.

This is the protocol for our systematic review and meta-synthesis, which describes the design of this study, and we plan to complete the study from October 2023 to November 2024. The systematic review and meta-synthesis will follow the Joanna Briggs Institute (JBI) guidance for systematic reviews of qualitative evidence. Nine databases (five English and four Chinese) were searched, including Embase, Web of Science, Medline, CINAHL, PsycINFO and Wan Fang Data, China National Knowledge Infrastructure, VIP and Chinese Biomedical Medicine, from inception to August 2023. Qualitative and mixed-approach research about barriers and facilitators to caring for people with dementia in long-term care facilities, which are reported in English or Chinese, will be included. Covidence software will help with study selection, assessment and data extraction. The JBI Critical Appraisal Checklist for Qualitative Research (2020) will be used for included studies’ quality assessment. Data extraction will be based on the JBI Qualitative Assessment and Review Instrument Data Extraction Tool for Qualitative Research. The JBI aggregation approach will be used to synthesise data. We will use the JBI ConQual tool to assess the credibility and dependability of each synthesised finding to establish confidence in the synthesised findings. All review steps will be managed by two reviewers independently, and disparities will be discussed. If consensus cannot reach a resolution, a third reviewer will be consulted.

The present study is a secondary analysis of published qualitative data. So ethical approval is not required. The findings may be disseminated through peer-reviewed publications, conference papers or elsewhere.

The protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO) in May 2022, and the registration number is CRD42022326178.

Intensive care unit (ICU) dying patients are the most important source of organ donation. This study explores the reasons affecting organ donation in the Chinese sociocultural context from the perspectives of coordinators and physicians, and further seeks countermeasures to alleviate the shortage of organs.

Semistructured interviews conducted in a large tertiary hospital in China.

15 respondents (including 8 organ coordinators and 7 ICU physicians) were interviewed. Participants were invited to describe the factors that influence organ donation and the underlying reasons behind it. Bronfenbrenner’s socioecological system model was used as theoretical support to construct a theoretical model of the factors influencing organ donation. Respondents participated in semistructured qualitative interviews that were audio-recorded and transcribed. The relevant data were analysed using thematic analysis.

Four themes that influenced organ donation were identified including the influence of the deceased person’s attributes, immediate family members, surrounding people and the environment, and the social-level factors. In addition, we obtained four strategies from the interviews to improve the organ shortage to ameliorate the current supply–demand imbalance in organ donation. These include multilevel publicity, relevant policy support, increasing other forms of supply and reducing organ demand.

Factors affecting organ donation after the death of a Chinese citizen include the personal characteristics of the donor, the decisions of family members such as immediate family members and the indirect influence of surrounding people such as collateral family members, in addition to factors related to the humanistic environment, religious beliefs and social opinion.