To characterise long-term trajectory of recovery in individuals with long covid.

Prospective cohort.

Single-centre, specialist post-COVID service (London, UK).

Individuals aged ≥18 years with long covid (hospitalised and non-hospitalised) from April 2020 to March 2024.

Routine, prospectively collected data on symptoms, quality of life (including Fatigue Assessment Scale (FAS) and EuroQol 5 Dimensions (EQ-5D), return to work status and healthcare utilisation (investigations, outpatient and emergency attendances). The primary outcome was recovery by self-reported >75% of ‘best health’ (EQ-5D Visual Analogue Scale) and was assessed using Cox proportional hazards regression models over 4 years. Linked National Health Service England registry data provided secondary care healthcare utilisation and expenditure.

We included 3590 individuals (63.3% female, 73.5% non-hospitalised, median age 50.0 years, 71.9% with ≥2 doses of COVID-19 vaccination), who were followed up for a median of 136 (0–346) days since first assessment and 502 (251–825) days since symptom onset. At first assessment, 33.2% of employed individuals were unable to work. Dominant symptoms were fatigue (78.7%), breathlessness (68.1%) and brain fog (53.5%). 33.4% of individuals recovered to >75% of best health prior to clinic discharge (recovery occurred median 202 (94–468) days from symptom onset). Vaccinated individuals were more likely to recover faster (pre: HR 2.93 (2.00–4.28) and post: HR 1.34 (1.05–1.71) COVID-19 infection), whereas recovery hazard was inversely associated with FAS (HR 0.37 (0.33–0.42)), myalgia (HR 0.59 (0.45–0.76)) and dysautonomic symptoms (HR 0.46 (0.34–0.62)). There was high secondary care healthcare utilisation (both emergency and outpatient care). Annual inpatient and outpatient expenditure was significantly lower in hospitalised individuals while under the service. When compared with the prereferral period, emergency department attendances were reduced in non-hospitalised patients with long covid, but outpatient costs increased.

In the largest long covid cohort from a single specialist post-COVID service to date, only one-third of individuals under follow-up achieved satisfactory recovery. Fatigue severity and COVID-19 vaccination at presentation, even after initial COVID-19 infection, was associated with long covid recovery. Ongoing service provision for this and other post-viral conditions is necessary to support care, progress treatment options and provide capacity for future pandemic preparedness. Research and clinical services should emphasise these factors as the strongest predictors of non-recovery.

Type 2 diabetes (T2D) is a complex disease with a heterogeneous clinical presentation. Recently, five distinct clusters of T2D have been identified in the Emirati population of long-standing T2D with complications. This study aimed to validate these clusters in newly diagnosed T2D patients without any complications and determine whether severe and mild phenotypes are detectable early in the disease course.

Retrospective, cross-sectional, non-interventional study.

Primary healthcare centres in Dubai, UAE.

A total of 451 adults, including both Emiratis and expatriates, diagnosed with T2D in the last 5 years and without T2D-related complications at the time of visit, were enrolled. Patients with complications, incomplete clinical data or higher duration of T2D were excluded from the study.

Identification of distinct T2D clusters using machine learning-based clustering analysis. Five clinical variables: age at diagnosis, body mass index, glycated haemoglobin, fasting serum insulin and fasting blood glucose served as predictors. Overlap between clusters was assessed via the Silhouette Index and Bayesian probability.

Five clusters were identified, replicating prior findings: severe insulin-resistant diabetes (SIRD), severe insulin-deficient diabetes (SIDD), mild age-related diabetes (MARD), mild obesity-related diabetes (MOD) and mild early-onset diabetes (MEOD). As confirmed by a Silhouette Index and Bayesian probability of 1, 55.43% of the patients showed cluster-exclusiveness, while 44.56% of the cohort showed overlap between clusters. The highest overlap was recorded for mild forms of T2D in the order MOD>MARD>MEOD.

The study confirms that both severe and mild T2D phenotypes are present in newly diagnosed, complication-free patients, supporting the applicability of cluster-based classification early in disease. These results highlight the potential for personalised treatment strategies to optimise management and prevent complications. Future studies should investigate longitudinal outcomes and therapeutic response across clusters.

This study sought to explore decision making among caregivers of children with cancer in Pakistan, one of the largest lower middle-income countries in the world.

Cross-sectional survey study

This study was conducted in Pakistan at Indus Hospital and Health Network in Karachi and Children’s Hospital of Lahore. Children’s Hospital of Lahore is a public sector hospital, and Indus Hospital has a foundation-based funding structure. Both are larger tertiary care centers. Over 2,500 new patients are seen at these centers annually, this accounts for almost 50% of all children with cancer in Pakistan

Eligible participants included bedside caregivers, defined as a parent or family member involved in communication with the medical team, of children with cancer (

Primary outcome measures included caregiver priorities and experiences related to communication including decision-making role, involvement of the paediatric patient and decisional regret.

Participants included 200 caregivers of children

Findings from this study highlight the importance of exploring preferences for decision making and empowering bedside caregivers while respecting cultural norms. In the Pakistani context, it may be specifically important to consider gender roles and the inclusion of extended family members. Future work should investigate paediatric patient involvement in diverse settings.