Ibrahim Mohamed
- COVID-19 Clinical Research Studies
- Sepsis Diagnosis and Treatment
- Intensive Care Unit Cognitive Disorders
- COVID-19 diagnosis using AI
- Respiratory Support and Mechanisms
- Dialysis and Renal Disease Management
- COVID-19 and healthcare impacts
- Acute Kidney Injury Research
- Venous Thromboembolism Diagnosis and Management
- Muscle and Compartmental Disorders
- Chronic Kidney Disease and Diabetes
- Machine Learning in Healthcare
- Long-Term Effects of COVID-19
Milton Keynes Hospital
2021
Background: Within the UK, COVID-19 has contributed towards over 103,000 deaths. Although multiple risk factors for have been identified, using this data to improve clinical care proven challenging. The main aim of study is develop a reliable, multivariable predictive model in-patient outcomes, thus enabling risk-stratification and earlier decision-making. Methods: Anonymised consisting 44 independent predictor variables from 355 adults diagnosed with COVID-19, at UK hospital, was manually...
Objective To determine whether surge conditions were associated with increased mortality. Design Multicenter cohort study. Setting U.S. ICUs participating in STOP-COVID. Patients Consecutive adults COVID-19 admitted to between March 4 and July 1, 2020. Interventions None Measurements Main Results The main outcome was 28-day in-hospital assess the association admission an ICU during a period mortality, we used two different strategies: (1) inverse probability weighted...
Abstract Introduction Within the UK, COVID-19 has contributed towards over 103,000 deaths. Multiple risk factors for have been identified including various demographics, co-morbidities, biochemical parameters, and physical assessment findings. However, using this vast data to improve clinical care proven challenging. Aims develop a reliable, multivariable predictive model in-patient outcomes, aid risk-stratification earlier decision-making. Methods Anonymized regarding 44 independent...