Imperial College London
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Dr Ana Luisa Neves

Faculty of Medicine, School of Public Health

Clinical Senior Lecturer in Digital Health
 
 
 
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Contact

 

ana.luisa.neves14

 
 
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Location

 

Queen Elizabeth the Queen Mother Wing (QEQM)St Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Espinosa-Gonzalez:2022:10.1016/S2589-7500(22)00123-6,
author = {Espinosa-Gonzalez, A and Prociuk, D and Fiorentino, F and Ramtale, C and Mi, E and Mi, E and Glampson, B and Neves, AL and Okusi, C and Husain, L and Macartney, J and Brown, M and Browne, B and Warren, C and Chowla, R and Heaversedge, J and Greenhalgh, T and de, Lusignan S and Mayer, E and Delaney, BC},
doi = {10.1016/S2589-7500(22)00123-6},
journal = {The Lancet Digital Health},
pages = {e646--e656},
title = {Remote COVID-19 assessment in primary care (RECAP) risk prediction tool: derivation and real-world validation studies},
url = {http://dx.doi.org/10.1016/S2589-7500(22)00123-6},
volume = {4},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BACKGROUND: Accurate assessment of COVID-19 severity in the community is essential for patient care and requires COVID-19-specific risk prediction scores adequately validated in a community setting. Following a qualitative phase to identify signs, symptoms, and risk factors, we aimed to develop and validate two COVID-19-specific risk prediction scores. Remote COVID-19 Assessment in Primary Care-General Practice score (RECAP-GP; without peripheral oxygen saturation [SpO2]) and RECAP-oxygen saturation score (RECAP-O2; with SpO2). METHODS: RECAP was a prospective cohort study that used multivariable logistic regression. Data on signs and symptoms (predictors) of disease were collected from community-based patients with suspected COVID-19 via primary care electronic health records and linked with secondary data on hospital admission (outcome) within 28 days of symptom onset. Data sources for RECAP-GP were Oxford-Royal College of General Practitioners Research and Surveillance Centre (RCGP-RSC) primary care practices (development set), northwest London primary care practices (validation set), and the NHS COVID-19 Clinical Assessment Service (CCAS; validation set). The data source for RECAP-O2 was the Doctaly Assist platform (development set and validation set in subsequent sample). The two probabilistic risk prediction models were built by backwards elimination using the development sets and validated by application to the validation datasets. Estimated sample size per model, including the development and validation sets was 2880 people. FINDINGS: Data were available from 8311 individuals. Observations, such as SpO2, were mostly missing in the northwest London, RCGP-RSC, and CCAS data; however, SpO2 was available for 1364 (70·0%) of 1948 patients who used Doctaly. In the final predictive models, RECAP-GP (n=1863) included sex (male and female), age (years), degree of breathlessness (three point scale), temperature symptoms (two point scale), and presence of hypert
AU  - Espinosa-Gonzalez,A
AU  - Prociuk,D
AU  - Fiorentino,F
AU  - Ramtale,C
AU  - Mi,E
AU  - Mi,E
AU  - Glampson,B
AU  - Neves,AL
AU  - Okusi,C
AU  - Husain,L
AU  - Macartney,J
AU  - Brown,M
AU  - Browne,B
AU  - Warren,C
AU  - Chowla,R
AU  - Heaversedge,J
AU  - Greenhalgh,T
AU  - de,Lusignan S
AU  - Mayer,E
AU  - Delaney,BC
DO  - 10.1016/S2589-7500(22)00123-6
EP  - 656
PY  - 2022///
SN  - 2589-7500
SP  - 646
TI  - Remote COVID-19 assessment in primary care (RECAP) risk prediction tool: derivation and real-world validation studies
T2  - The Lancet Digital Health
UR  - http://dx.doi.org/10.1016/S2589-7500(22)00123-6
UR  - https://www.ncbi.nlm.nih.gov/pubmed/35909058
UR  - https://www.thelancet.com/journals/landig/article/PIIS2589-7500(22)00123-6/fulltext
UR  - http://hdl.handle.net/10044/1/98943
VL  - 4
ER  -
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