Vertigo is a prevalent and burdensome symptom. More than 80% of patients with vertigo are primarily treated by their general practitioner (GP) and are never referred to a medical specialist. Despite this therapeutic responsibility, the GP’s diagnostic toolkit has serious limitations. All recommended tests lack empirical evidence, because a diagnostic accuracy study on vestibular disorders (‘How well does test x discriminate between patients with or without target condition y?’) has never been performed in general practice. The VERtigo DIagnosis study aims to fill this gap.

We will perform a diagnostic accuracy study on vertigo of primary vestibular origin in general practice to assess the discriminative ability of history taking and physical examination. We will compare all index tests with a respective reference standard. We will focus on five target conditions that account for more than 95% of vertigo diagnoses in general practice: (1) benign paroxysmal positional vertigo, (2) vestibular neuritis, (3) Ménière’s disease, (4) vestibular migraine (VM) and (5) central causes other than VM. As these five target conditions have a different pathophysiology and lack one generally accepted gold standard, we will use consensus diagnosis as a construct reference standard. Data for each patient, including history, physical examination and additional tests as recommended by experts in an international Delphi procedure, will be recorded on a standardised form and independently reviewed by a neurologist and otorhinolaryngologist. For each patient, the reviewers have to decide about the presence/absence of each target condition. We will calculate sensitivity, specificity, predictive values, likelihood ratios and diagnostic ORs, followed by decision rules for each target condition.

The study obtained approval from the Vrije Universiteit Medical Center Medical Ethical Review Committee (reference: 2022.0817—NL83111.029.22). We will publish our findings in peer-reviewed international journals.

ISRCTN97250704.

To evaluate the willingness of healthcare providers to perform population-based screening in primary healthcare institutions in China.

Healthcare providers of 262 primary healthcare institutions in Tianjin were invited to fill out a questionnaire consisting of demographic characteristics, workload, and knowledge of, attitude towards and willingness to perform breast, cervical and colorectal cancer screening. Willingness to screen was the primary outcome. Multilevel logistic regression models were conducted to analyse the determinants of healthcare providers’ willingness to screen. ORs and 95% CIs were estimated.

A total of 554 healthcare providers from 244 institutions answered the questionnaire. 67.2%, 72.1% and 74.3% were willing to perform breast, cervical and colorectal cancer screening, respectively. A negative attitude towards screening was associated with a low willingness for cervical (OR=0.27; 95% CI 0.08, 0.94) and colorectal (OR=0.08; 95% CI 0.02, 0.30) cancer screening, while this was not statistically significant for breast cancer screening (OR=0.30; 95% CI 0.08, 1.12). For breast, cervical and colorectal cancer screening, 70.1%, 63.8% and 59.0% of healthcare providers reported a shortage of staff dedicated to screening. A perceived reasonable manpower allocation was a determinant of increased willingness to perform breast (OR=2.86; 95% CI 1.03, 7.88) and colorectal (OR=2.70; 95% CI 1.22, 5.99) cancer screening. However, this was not significant for cervical cancer screening (OR=1.76; 95% CI 0.74, 4.18).

In China, healthcare providers with a positive attitude towards screening have a stronger willingness to contribute to cancer screening, and therefore healthcare providers’ attitude, recognition of the importance of screening and acceptable workload should be optimised to improve the uptake of cancer screening.

The surgical intervention approach to insulinomas in proximity to the main pancreatic duct remains controversial. Standard pancreatic resection is recommended by several guidelines; however, enucleation (EN) still attracts surgeons with less risk of late exocrine/endocrine insufficiency, despite a higher postoperative pancreatic fistula (POPF) rate. Recently, the efficacy and safety of preoperative pancreatic stent placement before the EN have been demonstrated. Thus, a multicentre open-label study is being conducted to evaluate the efficacy and safety of stent placement in improving the outcome of EN of insulinomas in proximity to the main pancreatic duct.

This is a prospective, randomised, open-label, superiority clinical trial conducted at multiple tertiary centres in China. The major eligibility criterion is the presence of insulinoma located in the head and neck of the pancreas in proximity (≤2 mm) to the main pancreatic duct. Blocked randomisation will be performed to allocate patients into the stent EN group and the direct EN group. Patients in the stent EN group will go through stent placement by the endoscopist within 24 hours before the EN surgery, whereas other patients will receive EN surgery directly. The primary outcome is the assessment of the superiority of stent placement in reducing POPF rate measured by the International Study Group of Pancreatic Surgery standard. Both interventions will be performed in an inpatient setting and regular follow-up will be performed. The primary outcome (POPF rate) will be tested for superiority with the X² test. The difference in secondary outcomes between the two groups will be analysed using appropriate tests.

The study has been approved by the Peking Union Medical College Hospital Institutional Review Board (K23C0195), Ruijin Hospital Ethics Committee (2023-314), Peking University First Hospital Ethics Committee (2024033-001), Institutional Review Board of Xuanwu Hospital of Capital Medical University (2023223-002), Ethics Committee of the First Affiliated Hospital of Xi’an Jiaotong University (XJTU1AF2023LSK-473), Institutional Review Board of Tongji Medical College Tongji Hospital (TJ-IRB202402059), Ethics Committee of Tongji Medical College Union Hospital (2023-0929) and Shanghai Cancer Center Institutional Review Board (2309282-16). The results of the study will be published in an international peer-reviewed journal.

NCT05523778.

Considering the increasing incidence of Alzheimer’s disease (AD) and mild cognitive impairment (MCI) worldwide, there is an urgent need to identify efficacious, safe and convenient treatments. Numerous investigations have been conducted on the use of supplements in this domain, with oral supplementation emerging as a viable therapeutic approach for AD or MCI. Nevertheless, given the multitude of available supplements, it becomes imperative to identify the optimal treatment regimen.

Eight academic databases and three clinical trial registries will be searched from their inception to 1 June 2023. To identify randomised controlled trials investigating the effects of supplements on patients with AD or MCI, two independent reviewers (X-YZ and Y-QL) will extract relevant information from eligible articles, while the risk of bias in the included studies will be assessed using the Rob 2.0 tool developed by the Cochrane Collaboration. The primary outcome of interest is the overall cognitive function. Pair-wise meta-analysis will be conducted using RevMan V.5.3, while network meta-analysis will be carried out using Stata 17.0 and ADDIS 1.16.8. Heterogeneity test, data synthesis and subgroup analysis will be performed if necessary. The GRADE system will be employed to assess the quality of evidence. This study is scheduled to commence on 1 June 2023 and conclude on 1 October 2023.

Ethics approval is not required for systematic review and network meta-analysis. The results will be submitted to a peer-reviewed journal or at a conference.

PROSPERO (CRD42023414700).

Young adults (YAs) with serious illnesses report wanting choices in their end-of-life care.1–3 Where YAs would prefer to die is highly personal, though some studies have reported that many YAs prefer home-based palliative care and death.2 3 Yet, many YAs experience high-intensity, inpatient care at the end of their lives,4 with approximately half of YAs with cancer dying in hospital.4 Factors influencing these patterns of care—and the extent to...

Unplanned readmissions within 30 days and 6 months postdischarge are notably common in patients with HF.1 2 Effective self-care behaviours are essential to lower readmissions. However, the trajectories of self-care behaviours throughout the HF progression can vary among patients.3 Limited research studies have examined the relationships among the influencing variables, self-care behaviours and readmissions over...

Cardiovascular disease is a leading cause of global death. Prospective population-based studies have found that changes in retinal microvasculature are associated with the development of coronary artery disease. Recently, artificial intelligence deep learning (DL) algorithms have been developed for the fully automated assessment of retinal vessel calibres.

In this study, we validate the association between retinal vessel calibres measured by a DL system (Singapore I Vessel Assessment) and incident myocardial infarction (MI) and assess its incremental performance in discriminating patients with and without MI when added to risk prediction models, using a large UK Biobank cohort.

Retinal arteriolar narrowing was significantly associated with incident MI in both the age, gender and fellow calibre-adjusted (HR=1.67 (95% CI: 1.19 to 2.36)) and multivariable models (HR=1.64 (95% CI: 1.16 to 2.32)) adjusted for age, gender and other cardiovascular risk factors such as blood pressure, diabetes mellitus (DM) and cholesterol status. The area under the receiver operating characteristic curve increased from 0.738 to 0.745 (p=0.018) in the age–gender-adjusted model and from 0.782 to 0.787 (p=0.010) in the multivariable model. The continuous net reclassification improvements (NRIs) were significant in the age and gender-adjusted (NRI=21.56 (95% CI: 3.33 to 33.42)) and the multivariable models (NRI=18.35 (95% CI: 6.27 to 32.61)). In the subgroup analysis, similar associations between retinal arteriolar narrowing and incident MI were observed, particularly for men (HR=1.62 (95% CI: 1.07 to 2.46)), non-smokers (HR=1.65 (95% CI: 1.13 to 2.42)), patients without DM (HR=1.73 (95% CI: 1.19 to 2.51)) and hypertensive patients (HR=1.95 (95% CI: 1.30 to 2.93)) in the multivariable models.

Our results support DL-based retinal vessel measurements as markers of incident MI in a predominantly Caucasian population.

To assess the creative potential of surgeons and surgeon trainees, as measured by divergent thinking. The secondary objectives were to identify factors associated with divergent thinking, assess confidence in creative problem-solving and the perceived effect of surgical training on creative potential, and explore the value of creativity in surgery.

We used a mixed-methods design, conducting a survey of divergent thinking ability using a validated questionnaire followed by two semi-structured interviews with top-scoring participants.

Surgeons and surgeon trainees in the Department of Surgery at McMaster University.

The primary outcome was divergent thinking, assessed with the Abbreviated Torrance Test for Adults. Participants also self-assessed their confidence in creative problem-solving and the effect of surgical training on their creative potential. We performed descriptive analyses and multivariable linear regression to identify factors associated with divergent thinking. We conducted a thematic analysis of the interview responses.

82 surgeons and surgeon trainees were surveyed; 43 were junior trainees and 28 were senior trainees. General surgery, orthopaedic surgery and plastic surgery represented 71.9% of the participants. The median participant age was 28 years (range 24–73), 51.2% of whom were female. Participants demonstrated levels of divergent thinking that were higher but not meaningfully different from the adult norm (62.39 (95% CI 61.25, 63.53), p

The divergent thinking ability among surgeons and surgeon trainees was not meaningfully different from the adult normative score; however, their ability to generate original ideas was below average.

Prescribing long-term opioid therapy is a nuanced clinical decision requiring careful consideration of risks versus benefits. Our goal is to understand patient, provider and context factors that impact the decision to prescribe opioids in patients with cancer.

We conducted a secondary analysis of the raw semistructured interview data gathered from 42 prescribers who participated in one of two aligned concurrent qualitative studies in the USA and Australia. We conducted a two-part analysis of the interview: first identifying all factors influencing long-term prescribing and second open coding-related content for themes.

Factors that influence long-term opioid prescribing for cancer-related pain clustered under three key domains (patient-related, provider-related and practice-related factors) each with several themes. Domain 1: Patient factors related to provider–patient continuity, patient personality, the patient’s social context and patient characteristics including racial/ethnic identity, housing and socioeconomic status. Domain 2: Provider-related factors centred around provider ‘personal experience and expertise’, training and time availability. Domain 3: Practice-related factors included healthcare interventions to promote safer opioid practices and accessibility of quality alternative pain therapies.

Despite the differences in the contexts of the two countries, providers consider similar patient, provider and practice-related factors when long-term prescribing opioids for patients with cancer. Some of these factors may be categorised as cognitive biases that may intersect in an already disadvantaged patient and exacerbate disparities in the treatment of their pain. A more systematic understanding of these factors and how they impact the quality of care can inform appropriate interventions.

To test the feasibility of a randomised controlled trial (RCT) of a novel preoperative tailored sleep intervention for patients undergoing total knee replacement.

Feasibility two-arm two-centre RCT using 1:1 randomisation with an embedded qualitative study.

Two National Health Service (NHS) secondary care hospitals in England and Wales.

Preoperative adult patients identified from total knee replacement waiting lists with disturbed sleep, defined as a score of 0–28 on the Sleep Condition Indicator questionnaire.

The REST intervention is a preoperative tailored sleep assessment and behavioural intervention package delivered by an Extended Scope Practitioner (ESP), with a follow-up phone call 4 weeks postintervention. All participants received usual care as provided by the participating NHS hospitals.

The primary aim was to assess the feasibility of conducting a full trial. Patient-reported outcomes were assessed at baseline, 1-week presurgery, and 3 months postsurgery. Data collected to determine feasibility included the number of eligible patients, recruitment rates and intervention adherence. Qualitative work explored the acceptability of the study processes and intervention delivery through interviews with ESPs and patients.

Screening packs were posted to 378 patients and 57 patients were randomised. Of those randomised, 20 had surgery within the study timelines. An appointment was attended by 25/28 (89%) of participants randomised to the intervention. Follow-up outcomes measures were completed by 40/57 (70%) of participants presurgery and 15/57 (26%) postsurgery. Where outcome measures were completed, data completion rates were 80% or higher for outcomes at all time points, apart from the painDETECT: 86% complete at baseline, 72% at presurgery and 67% postsurgery. Interviews indicated that most participants found the study processes and intervention acceptable.

This feasibility study has demonstrated that with some amendments to processes and design, an RCT to evaluate the clinical and cost-effectiveness of the REST intervention is feasible.

ISRCTN14233189.

Satisfactory management of acute pain remains a major medical challenge despite the availability of multiple therapeutic options including the fixed-dose combination (FDC) drugs. Tramadol and dexketoprofen trometamol (TRAM/DKP) 75/25 mg FDC was launched in 2018 in Asia and is widely used in the management of moderate to severe acute pain. There are limited data on its effectiveness and safety in Asian patients, and therefore, a need to better understand its usage patterns in clinical practice. We aim to understand the usage pattern of TRAM/DKP FDC, its effectiveness and tolerability in patients with moderate to severe acute pain in Asia.

REKOVER is a phase-IV, multicountry, multicentre, prospective, real-world observational study. A total of 750 postsurgical and non-surgical patients (male and female, aged 18–80 years) will be recruited from 13 tertiary-care hospitals (15 sites) in Singapore, Thailand, the Philippines and Malaysia. All patients prescribed with TRAM/DKP FDC and willing to participate in the study will be enrolled. The recruitment duration for each site will be 6 months. The severity of pain will be collected using Numeric Pain Rating Scale through the treatment period from day 1 to day 5, while satisfaction with the treatment will be evaluated using Patient Global Evaluation Scale at the end of treatment. Any adverse event reported during the study duration will be recorded for safety analysis (up to day 6). The study data will be entered into the ClaimIt portal and mobile application (app) (ObvioHealth, USA). All the inpatient data will be entered into the portal by the study site and for outpatient it will be done by patients through an app.

The study has been approved by the local ethics committee from each study sites in Singapore, Thailand, the Philippines and Malaysia. Findings will be disseminated through local and global conference presentations, publications in peer-reviewed scientific journals and continuing medical education.

Health system leadership plays a critical role in sustaining healthcare delivery during emergencies. Thus, we aimed to assess the contribution of health system leadership in sustaining healthcare delivery under emergency conditions based on adaptive leadership theoretical framework.

We employed a concurrent mixed-methods study approach to assess health system leadership roles during emergency. This involved a quantitative survey administered to 150 health facilities managers/service focal persons selected via multistage sampling method from 15 districts, and qualitative interviews with 48 key informants who purposively selected.

We interviewed health facility managers, services focal persons, district health officers and residential district commissioners. We also reviewed weekly emergency situation reports and other relevant documents related to the emergency response. We used structured questionnaire, observation checklist and semistructured questionnaire to collect data. We employed descriptive statistics to analyse quantitative data and thematic analysis for qualitative data.

Health system leadership contributions in sustaining healthcare delivery during emergencies.

Health system leadership was effective in leading emergency response and ensuring the continuity of health service during emergencies. Community engagement, partners coordination and intersectoral collaboration were effectively used in the emergency response and ensuring continuity of healthcare delivery. Deployment of experienced personnel and essential medical and non-medical supplies played a critical role in the continuity of health service. Availability of incidence management teams across health system significantly contributed to health system leadership. Participation of village health teams in community engagement and information communication helped in the success of health system leadership under emergency.

Adaptive health system leadership played a crucial role in managing health services delivery under emergency conditions. Effective partnership coordination and collaboration across sectors, frequent information communication, building local actor capacity and implementing scheduled supportive supervisions emerged as key strategies for sustaining health services during emergencies.

Despite Ethiopia’s policy intention to provide recommended vaccination services to underprivileged populations, inequity in polio immunisation persists.

This study examined inequity and trends in polio immunisation and determinant factors among children aged 12–23 months in Ethiopia between 2000 and 2019.

Cross-sectional data from 2000, 2005, 2011, 2016 and 2019 Ethiopian demographic and health surveys were analysed with the updated version of the WHO’s Health Equity Assessment Toolkit software. Six standard equity measures: equity gaps, equity ratios, population attributable risk, population attributable fraction, slope index of inequality and relative index of inequality were used. Datasets were analysed and disaggregated by the five equality stratifiers: economic status, education, place of residence, sex of the child and regions. Multilevel logistic regression analysis was used to identify determinant factors.

Polio immunisation coverage was increased from 34.5% (2000) to 60.0% (2019). The wealth index-related inequity, in coverage of polio immunisation between quintiles 5 and 1, was 20 percentage points for most surveys. The population attributable risk and population attributable fraction measure in 2011 indicate that the national polio immunisation coverage in that year could have been improved by nearly 36 and 81 percentage points, respectively, if absolute and relative wealth-driven inequity, respectively, had been avoided. The absolute difference between Addis Ababa and Afar Region was 74 percentage points in 2000 and 60 percentage points in 2019. In multilevel analysis result, individual-level factors like wealth index, maternal education antenatal care and place of delivery showed statistical significance.

Although polio immunisation coverage gradually increased over time, in the 20-year survey periods, still 40% of children remained unvaccinated. Inequities in coverage by wealth, educational status, urban–rural residence and administrative regions persisted. Increasing service coverage and improving equitable access to immunisations services may narrow the existing inequity gaps.

Ulcerative colitis (UC) is a global chronic inflammatory bowel disease, and the poor efficacy of currently available pharmacological regimens makes the management of UC a great challenge. Moxibustion has shown great potential in the management of UC. However, its effectiveness and safety are still controversial. The purpose of this study is to synthesise the latest evidence regarding the clinical efficacy and safety of moxibustion for UC.

The Cochrane Library, PubMed, EMBASE, CNKI, Wanfang, VIP and SinoMed databases will be searched from inception to July 2023, to identify all randomised controlled trials with moxibustion for UC. The primary outcome will be clinical efficacy, as measured by validated scales. The serum inflammatory factor, colonoscopy results, quality of life, recurrence rate and adverse events will be the secondary outcomes. The Cochrane Risk of Bias 2.0 tool will be used to assess the methodological quality of each included trial. All data extraction will be carried out independently by two investigators. RevMan V.5.4 software will be used for data analysis and Cochran’s Q statistic and I² test will be used to assess heterogeneity between studies. In addition, we will perform subgroup analyses, sensitivity analyses and publication bias if the available data are sufficient. The strength of evidence will be graded using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system.

Ethics approval is not required for this review. Our findings will be published in a peer-reviewed journal.

CRD42023425481.

For artificial intelligence (AI) to help improve mental healthcare, the design of data-driven technologies needs to be fair, safe, and inclusive. Participatory design can play a critical role in empowering marginalised communities to take an active role in constructing research agendas and outputs. Given the unmet needs of the LGBTQI+ (Lesbian, Gay, Bisexual, Transgender, Queer and Intersex) community in mental healthcare, there is a pressing need for participatory research to include a range of diverse queer perspectives on issues of data collection and use (in routine clinical care as well as for research) as well as AI design. Here we propose a protocol for a Delphi consensus process for the development of PARticipatory Queer AI Research for Mental Health (PARQAIR-MH) practices, aimed at informing digital health practices and policy.

The development of PARQAIR-MH is comprised of four stages. In stage 1, a review of recent literature and fact-finding consultation with stakeholder organisations will be conducted to define a terms-of-reference for stage 2, the Delphi process. Our Delphi process consists of three rounds, where the first two rounds will iterate and identify items to be included in the final Delphi survey for consensus ratings. Stage 3 consists of consensus meetings to review and aggregate the Delphi survey responses, leading to stage 4 where we will produce a reusable toolkit to facilitate participatory development of future bespoke LGBTQI+–adapted data collection, harmonisation, and use for data-driven AI applications specifically in mental healthcare settings.

PARQAIR-MH aims to deliver a toolkit that will help to ensure that the specific needs of LGBTQI+ communities are accounted for in mental health applications of data-driven technologies. The study is expected to run from June 2024 through January 2025, with the final outputs delivered in mid-2025. Participants in the Delphi process will be recruited by snowball and opportunistic sampling via professional networks and social media (but not by direct approach to healthcare service users, patients, specific clinical services, or via clinicians’ caseloads). Participants will not be required to share personal narratives and experiences of healthcare or treatment for any condition. Before agreeing to participate, people will be given information about the issues considered to be in-scope for the Delphi (eg, developing best practices and methods for collecting and harmonising sensitive characteristics data; developing guidelines for data use/reuse) alongside specific risks of unintended harm from participating that can be reasonably anticipated. Outputs will be made available in open-access peer-reviewed publications, blogs, social media, and on a dedicated project website for future reuse.

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.

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

Prospective, observational cohort study of subjects with PASC.

Academic tertiary centre from five clinical referral sources.

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

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.

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

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

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.

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.

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.

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.

NCT05666908.