A5092859838- Sepsis Diagnosis and Treatment
- Climate Change and Health Impacts
- Machine Learning in Healthcare
- Health Systems, Economic Evaluations, Quality of Life
- COVID-19 Clinical Research Studies
- Antibiotics Pharmacokinetics and Efficacy
- Intimate Partner and Family Violence
- Pneumonia and Respiratory Infections
- Emergency and Acute Care Studies
- Sexual Assault and Victimization Studies
- Sleep and related disorders
- Digital Mental Health Interventions
- Mental Health Research Topics
- Chronic Disease Management Strategies
- Health, Environment, Cognitive Aging
- Antibiotic Use and Resistance
- Migration, Health and Trauma
University of Manchester
2023-2025
Manchester Academic Health Science Centre
2023-2025
Health Data Research UK
2024
Clinical prediction models (CPMs) estimate an individual's risk of current or future outcome events, using information available about the individual at time prediction. While most CPMs are developed to predict a single event, many clinical decisions require considering risks multiple events. For example, decision-making for anticoagulation therapy involves assessing both blood clot and bleeding, while around interventions multimorbidity prevention requires understanding developing long-term...
This review identified 190 studies that used high frequency ePGHD to assess treatment response, presenting preliminary findings here for 50. Most were observational (44%) and collected different types e.g. symptoms diet (52%) using mobile apps (80%). Some excluded before descriptive statistics or ignored correlations inherent in repeated measures when clustering K-means. However, some robust methods such as mixed effects models account these correlations. The highlight the need broader...
Abstract Purpose Sepsis is a life-threatening organ dysfunction caused by dysregulated host response to infection. The purpose of the study was measure associations specific exposures (deprivation, ethnicity, and clinical characteristics) with incident sepsis case fatality. Methods Two research databases in England were used including anonymized patient-level records from primary care linked hospital admission, death certificate, small-area deprivation. cases aged 65–100 years matched up six...
Sepsis, characterised by significant morbidity and mortality, is intricately linked to socioeconomic disparities pre-admission clinical histories. This study aspires elucidate the association between non-COVID-19 related sepsis health inequality risk factors amidst pandemic in England, with a secondary focus on their 30-day mortality.