Publications by authors named "Ewen M Harrison"

Background: While breast cancer incidence rates in Sub-Saharan Africa (SSA) are among the lowest worldwide, mortality rates remain among the highest, reflecting particularly poor survival. Only a few studies in SSA have investigated the capabilities of treatment services to adequately provide a continuum of care for breast cancer. Our aim was to assess the availability of diagnostic facilities and adjuvant therapies in hospitals performing breast cancer surgery in SSA.

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Background: People hospitalised for coronavirus disease 2019 (COVID-19) have elevated incidence of diabetes. However, it is unclear whether this is due to shared risk factors, confounding or stress hyperglycaemia in response to acute illness.

Methods: We analysed a multicentre prospective cohort study (PHOSP-COVID) of people ≥18 years discharged from NHS hospitals across the United Kingdom following COVID-19.

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Introduction: Remote monitoring can strengthen postoperative care in the community and minimise the burden of complications. However, implementation requires a clear understanding of how to sustainably integrate such complex interventions into existing care pathways. This study aimed to explore perceptions of potential facilitators and barriers to the implementation of digital remote postoperative monitoring from key stakeholders and derive recommendations for an implementable service.

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Background: In patients with coronavirus disease 2019 (COVID-19) requiring supplemental oxygen, dexamethasone reduces acute severity and improves survival, but longer-term effects are unknown. We hypothesised that systemic corticosteroid administration during acute COVID-19 would be associated with improved health-related quality of life (HRQoL) 1 year after discharge.

Methods: Adults admitted to hospital between February 2020 and March 2021 for COVID-19 and meeting current guideline recommendations for dexamethasone treatment were included using two prospective UK cohort studies (Post-hospitalisation COVID-19 and the International Severe Acute Respiratory and emerging Infection Consortium).

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Background: COVID-19 is known to be associated with increased risks of cognitive and psychiatric outcomes after the acute phase of disease. We aimed to assess whether these symptoms can emerge or persist more than 1 year after hospitalisation for COVID-19, to identify which early aspects of COVID-19 illness predict longer-term symptoms, and to establish how these symptoms relate to occupational functioning.

Methods: The Post-hospitalisation COVID-19 study (PHOSP-COVID) is a prospective, longitudinal cohort study of adults (aged ≥18 years) who were hospitalised with a clinical diagnosis of COVID-19 at participating National Health Service hospitals across the UK.

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Article Synopsis
  • The PHOSP-COVID study examined long-term outcomes in COVID-19 hospitalised patients with pre-existing airway diseases compared to those without.* -
  • Out of 615 participants with airway diseases, many reported lower recovery rates, higher anxiety and depression levels, and greater mobility issues one year post-discharge.* -
  • Overall, individuals with pre-existing airway conditions experienced worse health-related quality of life and more persistent symptoms like breathlessness and fatigue after recovering from COVID-19.*
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Background: Perioperative data are essential to improve the safety of surgical care. However, surgical outcome research (SOR) from low- and middle-income countries (LMICs) is disproportionately sparse. We aimed to assess practices, barriers, facilitators, and perceptions influencing the collection and use of surgical outcome data (SOD) in LMICs.

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Artificial intelligence (AI) is rapidly emerging in healthcare, yet applications in surgery remain relatively nascent. Here we review the integration of AI in the field of surgery, centering our discussion on multifaceted improvements in surgical care in the preoperative, intraoperative and postoperative space. The emergence of foundation model architectures, wearable technologies and improving surgical data infrastructures is enabling rapid advances in AI interventions and utility.

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Background: Following the introduction of an algorithm aiming to maximise life-years gained from liver transplantation in the UK (the transplant benefit score [TBS]), donor livers were redirected from younger to older patients, mortality rate equalised across the age range and short-term waiting list mortality reduced. Understanding age-related prioritisation has been challenging, especially for younger patients and clinicians allocating non-TBS-directed livers. We aimed to assess age-related prioritisation within the TBS algorithm by modelling liver transplantation prioritisation based on data from a UK transplant unit and comparing these data with other regions.

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The COVID-19 pandemic highlighted the need for predictive deep-learning models in health care. However, practical prediction task design, fair comparison, and model selection for clinical applications remain a challenge. To address this, we introduce and evaluate two new prediction tasks-outcome-specific length-of-stay and early-mortality prediction for COVID-19 patients in intensive care-which better reflect clinical realities.

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Background: Patients with cancer are at greater risk of dying from COVID-19 than many other patient groups. However, how this risk evolved during the pandemic remains unclear. We aimed to determine, on the basis of the UK national pandemic protocol, how factors influencing hospital mortality from COVID-19 could differentially affect patients undergoing cancer treatment.

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Article Synopsis
  • One in ten COVID-19 infections lead to long COVID, characterized by prolonged symptoms, but the underlying mechanisms remain unclear.
  • In a study of 657 individuals, certain inflammatory markers were linked to long COVID symptoms, revealing connections to cardiorespiratory issues, fatigue, anxiety, gastrointestinal problems, cognitive impairments, and potential nerve tissue repair disturbances.
  • Findings suggest that targeting specific inflammatory pathways could offer new therapeutic options for treating different subtypes of long COVID in future clinical trials.*
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Background: Poor preoperative nutritional status has been consistently linked to an increase in postoperative complications and worse surgical outcomes. We updated a review first published in 2012.

Objectives: To assess the effects of preoperative nutritional therapy compared to usual care in people undergoing gastrointestinal surgery.

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A proportion of patients infected with severe acute respiratory syndrome coronavirus 2 experience a range of neuropsychiatric symptoms months after infection, including cognitive deficits, depression and anxiety. The mechanisms underpinning such symptoms remain elusive. Recent research has demonstrated that nervous system injury can occur during COVID-19.

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Article Synopsis
  • There is a significant gap in access and quality of surgical cancer care between wealthy and low-resource areas, affecting patient outcomes.
  • As cancer cases and deaths are expected to rise dramatically in the coming years, this issue of inequity in cancer surgery becomes increasingly urgent.
  • The text explores the reasons behind these disparities and suggests possible solutions to improve global access to effective cancer surgery.
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Background: Enhanced recovery after surgery (ERAS) protocols have largely been incorporated into practice in high-income settings due to proven improvement in perioperative outcomes. We aimed to review the implementation of ERAS protocols and other perioperative optimisation strategies in low- and middle-income countries (LMICs) and their impact on length of hospital stay (LOS).

Methods: We searched MEDLINE, PubMed, Global Health (CABI), WHO Global Index Medicus, Index Medicus, and Latin American and Caribbean Health Sciences Literature (LILACS) for studies incorporating ERAS or other prehabilitation approaches in LMICs.

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  • Vaccinated individuals can still experience severe COVID-19 requiring hospitalization, but it's unclear how they compare to unvaccinated patients in terms of symptoms, comorbidities, and outcomes.
  • A study analyzed data from over 83,000 hospitalized COVID-19 patients globally, noting that unvaccinated patients reported more typical symptoms, while vaccinated patients had a higher prevalence of concerning comorbidities.
  • The findings highlight the need for better healthcare resource allocation and future international studies to understand how vaccination impacts the clinical profiles of hospitalized COVID-19 patients.
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  • Post-COVID cognitive deficits, often described as 'brain fog', are commonly seen in patients and significantly impair daily functioning, but their exact biological causes are still unclear.
  • A study with 1,837 adults hospitalized due to COVID-19 identified two specific biomarker profiles from their blood tests that can predict cognitive issues 6 to 12 months post-infection.
  • The first profile involves high fibrinogen levels linked to cognitive impairments, while the second profile, marked by elevated D-dimer levels, connects more with subjective cognitive issues and work performance, with fatigue and shortness of breath playing a mediating role.
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Objective: To identify whether socioeconomic deprivation is associated with worse health-related quality of life (HR-QoL), anxiety and depression following liver transplantation.

Design: Cross-sectional study.

Setting And Participants: Liver transplant recipients within a national transplantation programme.

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Background: Identification of patients at high risk of surgical-site infection may allow clinicians to target interventions and monitoring to minimize associated morbidity. The aim of this systematic review was to identify and evaluate prognostic tools for the prediction of surgical-site infection in gastrointestinal surgery.

Methods: This systematic review sought to identify original studies describing the development and validation of prognostic models for 30-day SSI after gastrointestinal surgery (PROSPERO: CRD42022311019).

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Background: It is unclear what effect the pattern of health-care use before admission to hospital with COVID-19 (index admission) has on the long-term outcomes for patients. We sought to describe mortality and emergency readmission to hospital after discharge following the index admission (index discharge), and to assess associations between these outcomes and patterns of health-care use before such admissions.

Methods: We did a national, retrospective, complete cohort study by extracting data from several national databases and linking the databases for all adult patients admitted to hospital in Scotland with COVID-19.

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Medical students have an essential role in medical research, yet often lack opportunities for involvement within randomised trials. This study aimed to understand the educational impact of clinical trial recruitment for medical students. Tracking wound infection with smartphone technology (TWIST) was a randomised controlled trial that included adult patients undergoing emergency abdominal surgery across two university teaching hospitals.

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