Delineating COVID-19 subgroups using routine clinical data identifies distinct in-hospital outcomes

[1]  Luke Taylor.  Covid-19: China installs fences and alarms in Shanghai in effort to curb cases , 2022, BMJ.

[2]  E. Akşit,et al.  Evaluation of Aortic Elasticity Parameters in Survivors of COVID-19 Using Echocardiography Imaging , 2022, Medical Principles and Practice.

[3]  A. L. Tan,et al.  Physical, cognitive, and mental health impacts of COVID-19 after hospitalisation (PHOSP-COVID): a UK multicentre, prospective cohort study. , 2021, The Lancet. Respiratory medicine.

[4]  Sterling C. Johnson,et al.  Four distinct trajectories of tau deposition identified in Alzheimer’s disease , 2021, Nature Medicine.

[5]  A. Douiri,et al.  The ROX index has greater predictive validity than NEWS2 for deterioration in Covid-19 , 2021, EClinicalMedicine.

[6]  J. Wyatt,et al.  An overview of the National COVID-19 Chest Imaging Database: data quality and cohort analysis , 2021, medRxiv.

[7]  E. Denton,et al.  Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic , 2021, Digital health.

[8]  Benjamin Bowe,et al.  Comparative evaluation of clinical manifestations and risk of death in patients admitted to hospital with covid-19 and seasonal influenza: cohort study , 2020, BMJ.

[9]  A. Bruchfeld.  The COVID-19 pandemic: consequences for nephrology , 2020, Nature Reviews Nephrology.

[10]  Meng Niu,et al.  A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study , 2020, IEEE Journal of Biomedical and Health Informatics.

[11]  Adam L. Booth,et al.  Development of a prognostic model for mortality in COVID-19 infection using machine learning , 2020, Modern Pathology.

[12]  L. Forni,et al.  COVID-19-associated acute kidney injury: consensus report of the 25th Acute Disease Quality Initiative (ADQI) Workgroup , 2020, Nature Reviews Nephrology.

[13]  J. Gustine,et al.  Immunopathology of Hyperinflammation in COVID-19 , 2020, The American Journal of Pathology.

[14]  Ying Song,et al.  Blood pressure control and adverse outcomes of COVID-19 infection in patients with concomitant hypertension in Wuhan, China , 2020, Hypertension Research.

[15]  Lucile P. A. Neyton,et al.  Robust, reproducible clinical patterns in hospitalised patients with COVID-19 , 2020, medRxiv.

[16]  Jordan J. Clark,et al.  Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score , 2020, BMJ.

[17]  E. Charani,et al.  Prognostic modelling of COVID-19 using artificial intelligence in a UK population. , 2020, Journal of medical Internet research.

[18]  I. Buchan,et al.  Using imaging to combat a pandemic: rationale for developing the UK National COVID-19 Chest Imaging Database , 2020, European Respiratory Journal.

[19]  Karlheinz Peter,et al.  The Emerging Threat of (Micro)Thrombosis in COVID-19 and Its Therapeutic Implications , 2020, Circulation research.

[20]  M. O'gorman,et al.  Lymphocyte Subset Counts in COVID‐19 Patients: A Meta‐Analysis , 2020, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[21]  Hein Putter,et al.  A tutorial on frailty models , 2020, Statistical methods in medical research.

[22]  Kun Wang,et al.  Early decrease in blood platelet count is associated with poor prognosis in COVID-19 patients—indications for predictive, preventive, and personalized medical approach , 2020, EPMA Journal.

[23]  Vasa Curcin,et al.  Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study , 2021, BMC Medicine.

[24]  Yuan Yu,et al.  Thrombocytopenia and its association with mortality in patients with COVID‐19 , 2020, Journal of Thrombosis and Haemostasis.

[25]  Richard D Riley,et al.  Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal , 2020, BMJ.

[26]  Felix J. S. Bragman,et al.  Disease Progression Modelling in Chronic Obstructive Pulmonary Disease (COPD). , 2020, American journal of respiratory and critical care medicine.

[27]  Gang Liu,et al.  Clinical analysis of 215 consecutive cases with fever of unknown origin , 2018, Medicine.

[28]  Nick C Fox,et al.  Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference , 2017, bioRxiv.

[29]  Nicholas C. Firth,et al.  Progression of regional grey matter atrophy in multiple sclerosis , 2017, bioRxiv.

[30]  P. Royston,et al.  External validation of a Cox prognostic model: principles and methods , 2013, BMC Medical Research Methodology.

[31]  F. Schmidt.  Meta-Analysis , 2008 .

[32]  Ting Yu,et al.  Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study , 2020, The Lancet Respiratory Medicine.

[33]  Adam Trendowicz,et al.  Model Development and Validation , 2013 .

[34]  F. Roelfsema,et al.  multi-center study. , 2011 .

[35]  K. Sattler.  Principles and methods , 2011 .

[36]  V. Preedy,et al.  Prospective Cohort Study , 2010 .