Performance status: A key factor in predicting mortality in the first wave of COVID-19 in South-East Scotland

DataLoch COVID-19 Collaboration; Callum P Mutch; Daniella A Ross; Anda Bularga; Roo Nicola Rose Cave; Margo E Chase-Topping; Atul Anand; Nicholas L Mills; Oliver Koch; Claire L Mackintosh; Meghan R Perry

doi:10.1177/14782715221120137

Performance status: A key factor in predicting mortality in the first wave of COVID-19 in South-East Scotland

DataLoch COVID-19 Collaboration, Callum P Mutch, Daniella A Ross, Anda Bularga, Roo Nicola Rose Cave, Margo E Chase-Topping, Atul Anand, Nicholas L Mills, Oliver Koch, Claire L Mackintosh, Meghan R Perry

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

Background:
COVID-19 mortality risk factors have been established in large cohort studies; long-term mortality outcomes are less documented.

Methods:
We performed multivariable logistic regression to identify factors associated with in-patient mortality and intensive care unit (ICU) admission in symptomatic COVID-19 patients admitted to hospitals in South-East Scotland from 1st March to 30th June 2020. One-year mortality was reviewed.

Results:
Of 726 patients (median age 72; interquartile range: 58–83 years, 55% male), 104 (14%) required ICU admission and 199 (27%) died in hospital. A further 64 died between discharge and 30th June 2021 (36% overall 1-year mortality). Stepwise logistic regression identified age >79 (odds ratio (OR), 4.77 (95% confidence interval (CI), 1.96–12.75)), male sex (OR, 1.83 (95% CI, 1.21–2.80)) and higher European Cooperative Oncology Group/World Health Organization performance status as associated with higher mortality risk.

Discussion:
Poor functional baseline was the predominant independent risk factor for mortality in COVID-19. More than one-third of individuals had died by 1 year following admission.

Original language	English
Journal	Journal of the Royal College of Physicians of Edinburgh
DOIs	https://doi.org/10.1177/14782715221120137
Publication status	Published - 22 Aug 2022

Keywords / Materials (for Non-textual outputs)

COVID-19
frailty
clinical scores
mortality
SARS-CoV2

Access to Document

10.1177/14782715221120137

RCPE COVID paper 2022Final published version, 335 KBLicence: Creative Commons: Attribution (CC-BY)

http://journals.sagepub.com/doi/10.1177/14782715221120137

1 Active
2 Finished

High-Sensitivity Cardiac Troponin Beyond the Acute Coronary Syndrome
Mills, N., Anand, A., Chapman, A., Ferry, A., Newby, D., Strachan, F. & Tsanas, T.
UK-based charities
1/06/20 → 31/05/25
Project: Research
Machine learning and the diagnosis of myocardial infarction
Newby, D. & Mills, N.
MRC
1/02/21 → 31/01/23
Project: Research
Research Excellence Award Number 3
Baker, A.
UK-based charities
1/04/19 → 31/03/24
Project: Research

Cite this

DataLoch COVID-19 Collaboration, Mutch, C. P., Ross, D. A., Bularga, A., Nicola Rose Cave, R., Chase-Topping, M. E., Anand, A., Mills, N. L., Koch, O., Mackintosh, C. L., & Perry, M. R. (2022). Performance status: A key factor in predicting mortality in the first wave of COVID-19 in South-East Scotland. Journal of the Royal College of Physicians of Edinburgh. https://doi.org/10.1177/14782715221120137

@article{d87f755e25c441c98179b26a86fa9ed4,

title = "Performance status: A key factor in predicting mortality in the first wave of COVID-19 in South-East Scotland",

abstract = "Background:COVID-19 mortality risk factors have been established in large cohort studies; long-term mortality outcomes are less documented.Methods:We performed multivariable logistic regression to identify factors associated with in-patient mortality and intensive care unit (ICU) admission in symptomatic COVID-19 patients admitted to hospitals in South-East Scotland from 1st March to 30th June 2020. One-year mortality was reviewed.Results:Of 726 patients (median age 72; interquartile range: 58–83 years, 55% male), 104 (14%) required ICU admission and 199 (27%) died in hospital. A further 64 died between discharge and 30th June 2021 (36% overall 1-year mortality). Stepwise logistic regression identified age >79 (odds ratio (OR), 4.77 (95% confidence interval (CI), 1.96–12.75)), male sex (OR, 1.83 (95% CI, 1.21–2.80)) and higher European Cooperative Oncology Group/World Health Organization performance status as associated with higher mortality risk.Discussion:Poor functional baseline was the predominant independent risk factor for mortality in COVID-19. More than one-third of individuals had died by 1 year following admission.",

keywords = "COVID-19, frailty, clinical scores, mortality, SARS-CoV2",

author = "{DataLoch COVID-19 Collaboration} and Mutch, {Callum P} and Ross, {Daniella A} and Anda Bularga and {Nicola Rose Cave}, Roo and Chase-Topping, {Margo E} and Atul Anand and Mills, {Nicholas L} and Oliver Koch and Mackintosh, {Claire L} and Perry, {Meghan R}",

note = "Funding Information: The authors disclosed receipt of the following financial support for the research, authorship and/or publication of this article: AB is supported by a Clinical Research Training Fellowships (MR/V007254/1) from the Medical Research Council. NLM is supported by a Chair Award (CH/F/21/90010), a Programme Grant (RG/20/10/34966) and a Research Excellence Award (RE/18/5/34216) from the British Heart Foundation. Publisher Copyright: {\textcopyright} The Author(s) 2022.",

year = "2022",

month = aug,

day = "22",

doi = "10.1177/14782715221120137",

language = "English",

journal = "Journal of the Royal College of Physicians of Edinburgh",

issn = "1478-2715",

publisher = "Royal College of Physicians of Edinburgh",

}

DataLoch COVID-19 Collaboration, Mutch, CP, Ross, DA, Bularga, A, Nicola Rose Cave, R, Chase-Topping, ME , Anand, A , Mills, NL, Koch, O, Mackintosh, CL & Perry, MR 2022, 'Performance status: A key factor in predicting mortality in the first wave of COVID-19 in South-East Scotland', Journal of the Royal College of Physicians of Edinburgh. https://doi.org/10.1177/14782715221120137

TY - JOUR

T1 - Performance status: A key factor in predicting mortality in the first wave of COVID-19 in South-East Scotland

AU - DataLoch COVID-19 Collaboration

AU - Mutch, Callum P

AU - Ross, Daniella A

AU - Bularga, Anda

AU - Nicola Rose Cave, Roo

AU - Chase-Topping, Margo E

AU - Anand, Atul

AU - Mills, Nicholas L

AU - Koch, Oliver

AU - Mackintosh, Claire L

AU - Perry, Meghan R

N1 - Funding Information: The authors disclosed receipt of the following financial support for the research, authorship and/or publication of this article: AB is supported by a Clinical Research Training Fellowships (MR/V007254/1) from the Medical Research Council. NLM is supported by a Chair Award (CH/F/21/90010), a Programme Grant (RG/20/10/34966) and a Research Excellence Award (RE/18/5/34216) from the British Heart Foundation. Publisher Copyright: © The Author(s) 2022.

PY - 2022/8/22

Y1 - 2022/8/22

N2 - Background:COVID-19 mortality risk factors have been established in large cohort studies; long-term mortality outcomes are less documented.Methods:We performed multivariable logistic regression to identify factors associated with in-patient mortality and intensive care unit (ICU) admission in symptomatic COVID-19 patients admitted to hospitals in South-East Scotland from 1st March to 30th June 2020. One-year mortality was reviewed.Results:Of 726 patients (median age 72; interquartile range: 58–83 years, 55% male), 104 (14%) required ICU admission and 199 (27%) died in hospital. A further 64 died between discharge and 30th June 2021 (36% overall 1-year mortality). Stepwise logistic regression identified age >79 (odds ratio (OR), 4.77 (95% confidence interval (CI), 1.96–12.75)), male sex (OR, 1.83 (95% CI, 1.21–2.80)) and higher European Cooperative Oncology Group/World Health Organization performance status as associated with higher mortality risk.Discussion:Poor functional baseline was the predominant independent risk factor for mortality in COVID-19. More than one-third of individuals had died by 1 year following admission.

AB - Background:COVID-19 mortality risk factors have been established in large cohort studies; long-term mortality outcomes are less documented.Methods:We performed multivariable logistic regression to identify factors associated with in-patient mortality and intensive care unit (ICU) admission in symptomatic COVID-19 patients admitted to hospitals in South-East Scotland from 1st March to 30th June 2020. One-year mortality was reviewed.Results:Of 726 patients (median age 72; interquartile range: 58–83 years, 55% male), 104 (14%) required ICU admission and 199 (27%) died in hospital. A further 64 died between discharge and 30th June 2021 (36% overall 1-year mortality). Stepwise logistic regression identified age >79 (odds ratio (OR), 4.77 (95% confidence interval (CI), 1.96–12.75)), male sex (OR, 1.83 (95% CI, 1.21–2.80)) and higher European Cooperative Oncology Group/World Health Organization performance status as associated with higher mortality risk.Discussion:Poor functional baseline was the predominant independent risk factor for mortality in COVID-19. More than one-third of individuals had died by 1 year following admission.

KW - COVID-19

KW - frailty

KW - clinical scores

KW - mortality

KW - SARS-CoV2

U2 - 10.1177/14782715221120137

DO - 10.1177/14782715221120137

M3 - Article

SN - 1478-2715

JO - Journal of the Royal College of Physicians of Edinburgh

JF - Journal of the Royal College of Physicians of Edinburgh

ER -

Performance status: A key factor in predicting mortality in the first wave of COVID-19 in South-East Scotland

Abstract / Description of output

Keywords / Materials (for Non-textual outputs)

Access to Document

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Projects

High-Sensitivity Cardiac Troponin Beyond the Acute Coronary Syndrome

Machine learning and the diagnosis of myocardial infarction

Research Excellence Award Number 3

Cite this