Delays in cancer diagnosis for patients with non-specific symptoms (NSSs) lead to poorer outcomes. Rapid Diagnostic Clinics (RDCs) expedite care, but most NSS patients do not have cancer, highlighting the need for better risk stratification. This study aimed to develop biomarker-based clinical prediction scores to differentiate high-risk and low-risk NSS patients, enabling more targeted diagnostics.

Retrospective and prospective cohort study.

Secondary care RDC in London.

Adult patients attending an RDC between December 2016 and September 2023 were included. External validation used data from another RDC.

The primary outcome was a cancer diagnosis. Biomarker-based risk scores were developed using Latent Class Analysis (LCA) and Least Absolute Shrinkage and Selection Operator (LASSO). Model performance was assessed using logistic regression, receiver operating characteristic curves (AUROC) and decision curve analysis.

Among 5821 RDC patients, LCA identified high white cell count, low haemoglobin, low albumin, high serum lambda light chain, high neutrophil-to-lymphocyte ratio, high serum kappa light chain (SKLC), high erythrocyte sedimentation rate (ESR), high C-reactive protein (CRP) and high neutrophils as cancer risk markers. LASSO selected high platelets, ESR, CRP, SKLC, alkaline phosphatase and lactate dehydrogenase. Each one-point increase in score predicted higher odds of cancer (LCA: AOR 1.19, 95% CI 1.16 to 1.23; LASSO: AOR 1.29, 95% CI 1.25 to 1.34). Scores ≥2 predicted significantly higher cancer odds (LCA: AOR 3.79, 95% CI 2.91 to 4.95; LASSO: AOR 3.44, 95% CI 2.66 to 4.44). Discrimination was good (AUROC: LCA 0.74; LASSO 0.73). External validation in 573 patients confirmed predicted increases in cancer risk per one-point LASSO score rise (AOR 1.28, 95% CI 1.15 to 1.42), with a borderline increase for LCA (AOR 1.16, 95% CI 1.06 to 1.27).

Biomarker-based scores effectively identified NSS patients at higher cancer risk. LCA captured a broader biomarker range, offering higher sensitivity, while LASSO achieved higher specificity with fewer markers. These scores may also help detect severe benign conditions, improving RDC triage. Further validation is needed before broader clinical implementation.

Acute coronary syndrome (ACS) is the leading cause of morbidity and mortality among individuals with cardiovascular disease, accounting for half of all global cardiovascular-related deaths. No prior research has examined ACS treatment outcomes and associated factors in the study area. This study aimed to evaluate the risk factors and treatment outcome of ACS patients admitted to public hospitals in Harari Regional State, Eastern Ethiopia.

A retrospective hospital-based cross-sectional study was conducted among 308 ACS patients. Patient records from admissions between 1 November 2018 and 31 October 2023 were reviewed, with data collected between 10 January and 10 February 2024 using a structured checklist adapted from previous research. Statistical analysis was performed using SPSS V.25.0, with bivariable and multivariable logistic regression identifying significant associations at a p value

The mean patient age was 56.4±16 years, with males comprising 77.3% of participants. Half (51.6%) resided in rural areas, and only 16.2% presented within 12 hours of symptom onset. Overall, 81 patients (26.3%) experienced a poor treatment outcome for ACS, including 39 (12.7%) in-hospital deaths, 24 (7.8%) referrals to higher-level facilities and 18 (5.8%) who left against medical advice. Factors significantly associated with poor outcome included hospital presentation more than 72 hours after symptom onset (AOR 2.734 (95% CI 1.006 to 7.435)), left ventricular ejection fraction (LVEF)

Poor treatment outcome was independently predicted by the presence of ischaemia features on the echocardiography, LVEF (

Fibrosis is a pathological feature that can occur in a wide range of diseases including diabetes mellitus. We investigated whether in people with type 1 (T1DM) or type 2 diabetes mellitus (T2DM), glycaemia or diabetes-related complications are associated with fibrotic diseases.

Retrospective cohort study using UK Clinical Resource Datalink (CPRD) Aurum and Hospital Episode Statistics.

We included people with prevalent T1DM or T2DM as of 31 December 2015 (recorded in CPRD Aurum), eligible for linkage with Hospital Episode Statistics and followed up for 3 years.

We defined diabetes status using blood/urine biomarkers and complications. In the T2DM cohort, we also investigated exposures of hyperglycaemia, insulin resistance and metformin prescription. Fibrotic condition diagnoses were determined from both primary and secondary care records. Logistic regression analyses were undertaken to understand the strength of association between diabetes status/diabetic complications and fibrotic conditions, respectively.

The T1DM cohort consisted of 9669 people while the T2DM cohort included 504 066 people. In T1DM, we found that albuminuria was associated with lung fibrosis (ORadj: 2.07, 99% CI 1.35 to 2.17), and microvascular complications were associated with atherosclerosis (ORadj: 1.81, 99% CI 1.18 to 2.77) and cardiomyopathy (ORadj 1.53, 99% CI:1.15 to 2.04). In the T2DM cohort, both glycaemia above target and diabetes complications were associated with most fibrotic conditions.

Within the T1DM population, no consistent association between diabetes status and all fibrotic diseases was observed. More research is required to understand whether the association between diabetes complications and fibrotic diseases is due to shared risk factors or whether glycaemia in T2DM may be influenced by fibrotic pathology.

Persistent pain is common among older people living with frailty and can impact on their daily living, mobility, social interactions and sleep. However, healthcare support to mitigate impact is lacking in this population. The Pain in Older People with Frailty (POPPY) study is a multiphase, mixed-methods study that addresses how pain management services for older people with frailty should be organised and delivered.

For this phase (POPPY-Q), we used qualitative methods: semi-structured interviews with a grounded theory approach to analysis.

Community-dwelling older people (≥75 years) with persistent pain and frailty were invited to participate in two qualitative interviews (in-person/remotely) 10 weeks apart. Interviews took place in varied geographical locations across England between July 2022 and August 2023 and explored experiences of living with pain and access to and engagement with services and healthcare professionals (HCPs) and support and treatments received for pain.

Twenty-six people (77–91 years) with pain and frailty (from mild to severe) consented and were interviewed; 24 completed a second interview. Three interviews included a spouse/family member. Themes were general health and well-being; pain and its impact; acceptance of living with pain; support-seeking decisions; experience of accessing support; and perception/experience of pain support and treatment. This paper focuses on pain acceptance and support-seeking; other themes are used contextually, and accessing support was rare. Many participants were stoical about pain; some prioritised other health conditions; some preferred self-management; some were resigned and had lost hope of effective treatment; some expressed concern about burdening healthcare resources.

HCPs should be aware of the stances of older people with frailty about seeking support for pain and should be proactive, asking about pain. Longer appointments for complex cases may allow general practitioners to address pain, offer reassurance, provide information or referral or arrange a follow-up consultation focused on pain management.

The use of digitally enabled technology is considered a promising platform to prevent morbidity and enhance youth mental health as youth are growing up in the digital world and accessing the Internet at increasingly younger age. This scoping review will identify, describe and categorise the models, frameworks and strategies that have been used to study the implementation of digital mental health interventions targeted at youth aged 15–34 years.

We will conduct a scoping review following the Arksey-O’Malley five-stage scoping review method and the Scoping Review Methods Manual by the Joanna Briggs Institute. Implementation methods will be operationalised according to pre-established aims: (1) process models that describe or guide the implementation process; (2) evaluation frameworks evaluating or measuring the success of implementation; and (3) implementation strategies used in isolation or combination in implementation research and practice. Primary research studies in all languages will be identified in CINAHL, Cochrane Central Register of Controlled Trials, Embase, ERIC, Education Research Complete, MEDLINE and APA PsycINFO on 6 January 2025. Two reviewers will calibrate screening criteria and the data charting form and will independently screen records and abstract data. We will use the Evidence Standards Framework for Digital Health Technologies by the National Institute for Health and Care Excellence to classify digital interventions based on functions, and a pre-established working taxonomy to synthesise conceptually distinct implementation outcomes. Convergent integrated data synthesis will be performed.

Ethical approval is not applicable as this scoping review will be conducted only on data presented in the published literature. Findings will be published and directly infused into our multidisciplinary team of academic researchers, youth partners, health professionals and knowledge users (healthcare and non-governmental organisation decision makers) to co-design and pilot test a digital psychoeducational health intervention to engage, educate and empower youth to be informed stewards of their mental health.

To assess the incidence of delirium and its predictors among adult patients admitted to the intensive care units of comprehensive specialised hospitals in the Amhara region of northwest Ethiopia from 18 October 2024 to 20 February 2025.

A multicentre prospective observational study was conducted.

Four comprehensive specialised hospitals in the Amhara region of northwest Ethiopia, from 18 October 2024 to 20 February 2025.

A total of 351 patients were included in the final analysis during the study period.

The primary outcome measure of this study was the incidence of delirium. Additionally, the study investigated the factors associated with delirium incidence among adult patients admitted to intensive care units.

The incidence of delirium among adult patients in intensive care units was 42.17% (95% CI: 37.08 to 47.42). Pain (adjusted HR (AHR) = 4.74; 95% CI: 2.38 to 9.44), mechanical ventilation (AHR = 2.96; 95% CI: 1.56 to 5.63), age 65 years or older (AHR = 2.18; 95% CI: 1.48 to 3.21) and agitation (Richmond Agitation-Sedation Scale (RASS) ≥1) (AHR = 3.26; 95% CI: 2.09 to 5.09) were statistically significant factors associated with delirium.

In the present study, more than one-third of patients developed delirium. Pain, mechanical ventilation, age 65 or older and agitation (RASS≥1) were significantly associated with delirium occurrence. To reduce the incidence of delirium, the current study recommends treating or preventing pain and agitation. Additionally, special attention should be given to patients receiving mechanical ventilation and those aged 65 or older during care.