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Critical Care and Peri-operative Medicine Research Group

Statistical Analysis Plans (SAPs)

Our SAPs are divided into two categories:

  • Critical Care
  • Perioperative Medicine

This section is regularly updated with the latest SAPs produced by the researchers of the Group. Several of the SAPs are also available on the QMUL repository.

A directed acyclic graph

Image (above): 'Directed acyclic graph for COVID-19 phenotypes'

Critical Care SAPs

Urea-to-creatinine ratio trajectories in multi-organ failure: a reanalysis of the REDOXS trial statistical analysis plan

Ethical: Ethnic Disparities in COVID-19 Admissions in east London

  • Authors: Wan, YI; Apea, V; Dhairyawan, R; Orkin, C; Pearse, RM; Prowle, JR
  • Version: 1.1
  • Description of data: A statistical analysis plan to assess whether there is a difference in age and sex adjusted outcomes in different ethnicities of patients with confirmed COVID 19 admitted to Barts Health. The study will test the hypothesis that there is an association between health outcomes; in terms of need for ITU admission and mortality; and ethnicity in COVID-19 positive patients admitted to Barts Health; with patients of Black, Asian and other Minority Ethnicities having poorer outcomes as compared to patients of White ethnicity.
  • URI:
  • DOI: 10.17636/10164155
  • Access SAP:  Ethnic Disparities In COVID-19 Admissions in east London SAP [PDF 232KB]

Emergency hospital admissions associated with Non-Communicable Diseases 1998-2019: An Ecological Study 


Perioperative Medicine SAPs

The environmental impact of commonly used anaesthetic agents

Chronic disease within the NHS surgical population: An epidemiological study

Estimated surgical requirements in England after COVID-19: a modelling study using hospital episode statistics

  • Authors: Fowler, AJ; Dobbs, T; Wan, YI; Laloo, R; Hui, S; Nepogodiev, D; Pearse, RM; Abbott, TEF ​
  • Version: 1.0
  • Description of data: A statistical analysis plan using aggregated, publicly available data from NHS Digital and NHS England to model disruption to, and resources associated with re-establishing, surgical care during the COVID-19 pandemic.
  • URI:
  • DOI: 10.17636/64678 
  • Access SAP: COVID-19 modelling SAP [PDF 106KB]

International Surgical Outcomes Study (ISOS) sub-study: post-operative infection 

  • Authors: Wan, YI; Patel, A; Achary, C; Hewson, R; Phull, M; Pearse, RM
  • Version: 1.1
  • Description of data: This study will is a pre-specified secondary analysis of the International's Surgical Outcomes Study (ISOS). The aims of this analysis is to describe the prevalence of post-operative infection in an international sample of surgical patients. We will also investigate risk factors for the development of infection and the association between infection and morbidity and mortality following elective surgery.
  • URI:
  • DOI: 10.17636/10165489
  • Access SAP: ISOS post-operative infection SAP [PDF 675KB]

Socioeconomic deprivation and surgical outcomes: ISOS and VISION-UK sub-study