| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T27 |
0-12 |
Sentence |
denotes |
Introduction |
| T28 |
13-675 |
Sentence |
denotes |
Disease resulting from infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a high mortality rate with deaths predominantly caused by respiratory failure.1 As of 1 September 2020, over 25 million people had confirmed coronavirus disease 2019 (covid-19) worldwide and at least 850 000 people had died from the disease.23 As hospitals around the world are faced with an influx of patients with covid-19, there is an urgent need for a pragmatic risk stratification tool that will allow the early identification of patients infected with SARS-CoV-2 who are at the highest risk of death to guide management and optimise resource allocation. |
| T29 |
676-772 |
Sentence |
denotes |
Prognostic scores attempt to transform complex clinical pictures into tangible numerical values. |
| T30 |
773-973 |
Sentence |
denotes |
Prognostication is more difficult when dealing with a severe pandemic illness such as covid-19 because strain on healthcare resources and rapidly evolving treatments alter the risk of death over time. |
| T31 |
974-1297 |
Sentence |
denotes |
Early information has suggested that the clinical course of a patient with covid-19 is different from that of pneumonia, seasonal influenza, or sepsis.4 Most patients with severe covid-19 have developed a clinical picture characterised by pneumonitis, profound hypoxia, and systemic inflammation affecting multiple organs.1 |
| T32 |
1298-1463 |
Sentence |
denotes |
A recent review identified many prognostic scores used for covid-19,5 which varied in their setting, predicted outcome measure, and the clinical parameters included. |
| T33 |
1464-2044 |
Sentence |
denotes |
The large number of risk stratification tools reflects difficulties in their application, with most scores showing moderate performance at best and no benefit to clinical decision making.67 Many novel covid-19 prognostic scores have been found to have a high risk of bias, which could reflect development in small cohorts, and many have been published without clear details of model derivation and testing.5 Therefore, a risk stratification tool within a large national cohort of patients admitted to hospital with covid-19 is needed with clear development and validation details. |
| T34 |
2045-2296 |
Sentence |
denotes |
Our aim was to develop and validate a pragmatic, clinically relevant risk stratification score that uses routinely available clinical information at hospital presentation to predict in-hospital mortality in patients admitted to hospital with covid-19. |
| T35 |
2297-2365 |
Sentence |
denotes |
We then aimed to compare this score with existing prognostic models. |
